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Publisher: Elsevier   (Total: 3160 journals)

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Showing 1 - 200 of 3160 Journals sorted alphabetically
Academic Pediatrics     Hybrid Journal   (Followers: 35, SJR: 1.655, CiteScore: 2)
Academic Radiology     Hybrid Journal   (Followers: 24, SJR: 1.015, CiteScore: 2)
Accident Analysis & Prevention     Partially Free   (Followers: 96, SJR: 1.462, CiteScore: 3)
Accounting Forum     Hybrid Journal   (Followers: 27, SJR: 0.932, CiteScore: 2)
Accounting, Organizations and Society     Hybrid Journal   (Followers: 37, SJR: 1.771, CiteScore: 3)
Achievements in the Life Sciences     Open Access   (Followers: 5)
Acta Anaesthesiologica Taiwanica     Open Access   (Followers: 7)
Acta Astronautica     Hybrid Journal   (Followers: 421, SJR: 0.758, CiteScore: 2)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Biomaterialia     Hybrid Journal   (Followers: 28, SJR: 1.967, CiteScore: 7)
Acta Colombiana de Cuidado Intensivo     Full-text available via subscription   (Followers: 2)
Acta de Investigación Psicológica     Open Access   (Followers: 3)
Acta Ecologica Sinica     Open Access   (Followers: 10, SJR: 0.18, CiteScore: 1)
Acta Haematologica Polonica     Free   (Followers: 1, SJR: 0.128, CiteScore: 0)
Acta Histochemica     Hybrid Journal   (Followers: 3, SJR: 0.661, CiteScore: 2)
Acta Materialia     Hybrid Journal   (Followers: 276, SJR: 3.263, CiteScore: 6)
Acta Mathematica Scientia     Full-text available via subscription   (Followers: 5, SJR: 0.504, CiteScore: 1)
Acta Mechanica Solida Sinica     Full-text available via subscription   (Followers: 9, SJR: 0.542, CiteScore: 1)
Acta Oecologica     Hybrid Journal   (Followers: 12, SJR: 0.834, CiteScore: 2)
Acta Otorrinolaringologica (English Edition)     Full-text available via subscription  
Acta Otorrinolaringológica Española     Full-text available via subscription   (Followers: 3, SJR: 0.307, CiteScore: 0)
Acta Pharmaceutica Sinica B     Open Access   (Followers: 1, SJR: 1.793, CiteScore: 6)
Acta Poética     Open Access   (Followers: 4, SJR: 0.101, CiteScore: 0)
Acta Psychologica     Hybrid Journal   (Followers: 27, SJR: 1.331, CiteScore: 2)
Acta Sociológica     Open Access   (Followers: 1)
Acta Tropica     Hybrid Journal   (Followers: 6, SJR: 1.052, CiteScore: 2)
Acta Urológica Portuguesa     Open Access  
Actas Dermo-Sifiliograficas     Full-text available via subscription   (Followers: 3, SJR: 0.374, CiteScore: 1)
Actas Dermo-Sifiliográficas (English Edition)     Full-text available via subscription   (Followers: 2)
Actas Urológicas Españolas     Full-text available via subscription   (Followers: 3, SJR: 0.344, CiteScore: 1)
Actas Urológicas Españolas (English Edition)     Full-text available via subscription   (Followers: 1)
Actualites Pharmaceutiques     Full-text available via subscription   (Followers: 6, SJR: 0.19, CiteScore: 0)
Actualites Pharmaceutiques Hospitalieres     Full-text available via subscription   (Followers: 3)
Acupuncture and Related Therapies     Hybrid Journal   (Followers: 8)
Acute Pain     Full-text available via subscription   (Followers: 14, SJR: 2.671, CiteScore: 5)
Ad Hoc Networks     Hybrid Journal   (Followers: 11, SJR: 0.53, CiteScore: 4)
Addictive Behaviors     Hybrid Journal   (Followers: 17, SJR: 1.29, CiteScore: 3)
Addictive Behaviors Reports     Open Access   (Followers: 8, SJR: 0.755, CiteScore: 2)
Additive Manufacturing     Hybrid Journal   (Followers: 11, SJR: 2.611, CiteScore: 8)
Additives for Polymers     Full-text available via subscription   (Followers: 23)
Advanced Drug Delivery Reviews     Hybrid Journal   (Followers: 167, SJR: 4.09, CiteScore: 13)
Advanced Engineering Informatics     Hybrid Journal   (Followers: 12, SJR: 1.167, CiteScore: 4)
Advanced Powder Technology     Hybrid Journal   (Followers: 17, SJR: 0.694, CiteScore: 3)
Advances in Accounting     Hybrid Journal   (Followers: 8, SJR: 0.277, CiteScore: 1)
Advances in Agronomy     Full-text available via subscription   (Followers: 15, SJR: 2.384, CiteScore: 5)
Advances in Anesthesia     Full-text available via subscription   (Followers: 28, SJR: 0.126, CiteScore: 0)
Advances in Antiviral Drug Design     Full-text available via subscription   (Followers: 2)
Advances in Applied Mathematics     Full-text available via subscription   (Followers: 10, SJR: 0.992, CiteScore: 1)
Advances in Applied Mechanics     Full-text available via subscription   (Followers: 11, SJR: 1.551, CiteScore: 4)
Advances in Applied Microbiology     Full-text available via subscription   (Followers: 24, SJR: 2.089, CiteScore: 5)
Advances In Atomic, Molecular, and Optical Physics     Full-text available via subscription   (Followers: 14, SJR: 0.572, CiteScore: 2)
Advances in Biological Regulation     Hybrid Journal   (Followers: 4, SJR: 2.61, CiteScore: 7)
Advances in Botanical Research     Full-text available via subscription   (Followers: 2, SJR: 0.686, CiteScore: 2)
Advances in Cancer Research     Full-text available via subscription   (Followers: 33, SJR: 3.043, CiteScore: 6)
Advances in Carbohydrate Chemistry and Biochemistry     Full-text available via subscription   (Followers: 9, SJR: 1.453, CiteScore: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5, SJR: 1.992, CiteScore: 5)
Advances in Cell Aging and Gerontology     Full-text available via subscription   (Followers: 4)
Advances in Cellular and Molecular Biology of Membranes and Organelles     Full-text available via subscription   (Followers: 13)
Advances in Chemical Engineering     Full-text available via subscription   (Followers: 28, SJR: 0.156, CiteScore: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 10, SJR: 0.713, CiteScore: 1)
Advances in Chronic Kidney Disease     Full-text available via subscription   (Followers: 10, SJR: 1.316, CiteScore: 2)
Advances in Clinical Chemistry     Full-text available via subscription   (Followers: 26, SJR: 1.562, CiteScore: 3)
Advances in Colloid and Interface Science     Full-text available via subscription   (Followers: 20, SJR: 1.977, CiteScore: 8)
Advances in Computers     Full-text available via subscription   (Followers: 14, SJR: 0.205, CiteScore: 1)
Advances in Dermatology     Full-text available via subscription   (Followers: 15)
Advances in Developmental Biology     Full-text available via subscription   (Followers: 12)
Advances in Digestive Medicine     Open Access   (Followers: 9)
Advances in DNA Sequence-Specific Agents     Full-text available via subscription   (Followers: 7)
Advances in Drug Research     Full-text available via subscription   (Followers: 25)
Advances in Ecological Research     Full-text available via subscription   (Followers: 44, SJR: 2.524, CiteScore: 4)
Advances in Engineering Software     Hybrid Journal   (Followers: 29, SJR: 1.159, CiteScore: 4)
Advances in Experimental Biology     Full-text available via subscription   (Followers: 8)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 46, SJR: 5.39, CiteScore: 8)
Advances in Exploration Geophysics     Full-text available via subscription   (Followers: 1)
Advances in Fluorine Science     Full-text available via subscription   (Followers: 9)
Advances in Food and Nutrition Research     Full-text available via subscription   (Followers: 60, SJR: 0.591, CiteScore: 2)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 17)
Advances in Genetics     Full-text available via subscription   (Followers: 19, SJR: 1.354, CiteScore: 4)
Advances in Genome Biology     Full-text available via subscription   (Followers: 10, SJR: 12.74, CiteScore: 13)
Advances in Geophysics     Full-text available via subscription   (Followers: 6, SJR: 1.193, CiteScore: 3)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 24, SJR: 0.368, CiteScore: 1)
Advances in Heterocyclic Chemistry     Full-text available via subscription   (Followers: 12, SJR: 0.749, CiteScore: 3)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Imaging and Electron Physics     Full-text available via subscription   (Followers: 2, SJR: 0.193, CiteScore: 0)
Advances in Immunology     Full-text available via subscription   (Followers: 36, SJR: 4.433, CiteScore: 6)
Advances in Inorganic Chemistry     Full-text available via subscription   (Followers: 10, SJR: 1.163, CiteScore: 2)
Advances in Insect Physiology     Full-text available via subscription   (Followers: 2, SJR: 1.938, CiteScore: 3)
Advances in Integrative Medicine     Hybrid Journal   (Followers: 6, SJR: 0.176, CiteScore: 0)
Advances in Intl. Accounting     Full-text available via subscription   (Followers: 3)
Advances in Life Course Research     Hybrid Journal   (Followers: 8, SJR: 0.682, CiteScore: 2)
Advances in Lipobiology     Full-text available via subscription   (Followers: 1)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Marine Biology     Full-text available via subscription   (Followers: 18, SJR: 0.88, CiteScore: 2)
Advances in Mathematics     Full-text available via subscription   (Followers: 11, SJR: 3.027, CiteScore: 2)
Advances in Medical Sciences     Hybrid Journal   (Followers: 7, SJR: 0.694, CiteScore: 2)
Advances in Medicinal Chemistry     Full-text available via subscription   (Followers: 5)
Advances in Microbial Physiology     Full-text available via subscription   (Followers: 4, SJR: 1.158, CiteScore: 3)
Advances in Molecular and Cell Biology     Full-text available via subscription   (Followers: 23)
Advances in Molecular and Cellular Endocrinology     Full-text available via subscription   (Followers: 8)
Advances in Molecular Toxicology     Full-text available via subscription   (Followers: 7, SJR: 0.182, CiteScore: 0)
Advances in Nanoporous Materials     Full-text available via subscription   (Followers: 4)
Advances in Oncobiology     Full-text available via subscription   (Followers: 2)
Advances in Organ Biology     Full-text available via subscription   (Followers: 2)
Advances in Organometallic Chemistry     Full-text available via subscription   (Followers: 17, SJR: 1.875, CiteScore: 4)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7, SJR: 0.174, CiteScore: 0)
Advances in Parasitology     Full-text available via subscription   (Followers: 5, SJR: 1.579, CiteScore: 4)
Advances in Pediatrics     Full-text available via subscription   (Followers: 25, SJR: 0.461, CiteScore: 1)
Advances in Pharmaceutical Sciences     Full-text available via subscription   (Followers: 12)
Advances in Pharmacology     Full-text available via subscription   (Followers: 16, SJR: 1.536, CiteScore: 3)
Advances in Physical Organic Chemistry     Full-text available via subscription   (Followers: 8, SJR: 0.574, CiteScore: 1)
Advances in Phytomedicine     Full-text available via subscription  
Advances in Planar Lipid Bilayers and Liposomes     Full-text available via subscription   (Followers: 3, SJR: 0.109, CiteScore: 1)
Advances in Plant Biochemistry and Molecular Biology     Full-text available via subscription   (Followers: 10)
Advances in Plant Pathology     Full-text available via subscription   (Followers: 5)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Protein Chemistry     Full-text available via subscription   (Followers: 19)
Advances in Protein Chemistry and Structural Biology     Full-text available via subscription   (Followers: 20, SJR: 0.791, CiteScore: 2)
Advances in Psychology     Full-text available via subscription   (Followers: 65)
Advances in Quantum Chemistry     Full-text available via subscription   (Followers: 6, SJR: 0.371, CiteScore: 1)
Advances in Radiation Oncology     Open Access   (Followers: 1, SJR: 0.263, CiteScore: 1)
Advances in Small Animal Medicine and Surgery     Hybrid Journal   (Followers: 3, SJR: 0.101, CiteScore: 0)
Advances in Space Biology and Medicine     Full-text available via subscription   (Followers: 6)
Advances in Space Research     Full-text available via subscription   (Followers: 403, SJR: 0.569, CiteScore: 2)
Advances in Structural Biology     Full-text available via subscription   (Followers: 5)
Advances in Surgery     Full-text available via subscription   (Followers: 12, SJR: 0.555, CiteScore: 2)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 34, SJR: 2.208, CiteScore: 4)
Advances in Veterinary Medicine     Full-text available via subscription   (Followers: 18)
Advances in Veterinary Science and Comparative Medicine     Full-text available via subscription   (Followers: 14)
Advances in Virus Research     Full-text available via subscription   (Followers: 5, SJR: 2.262, CiteScore: 5)
Advances in Water Resources     Hybrid Journal   (Followers: 48, SJR: 1.551, CiteScore: 3)
Aeolian Research     Hybrid Journal   (Followers: 6, SJR: 1.117, CiteScore: 3)
Aerospace Science and Technology     Hybrid Journal   (Followers: 359, SJR: 0.796, CiteScore: 3)
AEU - Intl. J. of Electronics and Communications     Hybrid Journal   (Followers: 8, SJR: 0.42, CiteScore: 2)
African J. of Emergency Medicine     Open Access   (Followers: 6, SJR: 0.296, CiteScore: 0)
Ageing Research Reviews     Hybrid Journal   (Followers: 11, SJR: 3.671, CiteScore: 9)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 464, SJR: 1.238, CiteScore: 3)
Agri Gene     Hybrid Journal   (Followers: 1, SJR: 0.13, CiteScore: 0)
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 17, SJR: 1.818, CiteScore: 5)
Agricultural Systems     Hybrid Journal   (Followers: 31, SJR: 1.156, CiteScore: 4)
Agricultural Water Management     Hybrid Journal   (Followers: 42, SJR: 1.272, CiteScore: 3)
Agriculture and Agricultural Science Procedia     Open Access   (Followers: 4)
Agriculture and Natural Resources     Open Access   (Followers: 3)
Agriculture, Ecosystems & Environment     Hybrid Journal   (Followers: 57, SJR: 1.747, CiteScore: 4)
Ain Shams Engineering J.     Open Access   (Followers: 5, SJR: 0.589, CiteScore: 3)
Air Medical J.     Hybrid Journal   (Followers: 6, SJR: 0.26, CiteScore: 0)
AKCE Intl. J. of Graphs and Combinatorics     Open Access   (SJR: 0.19, CiteScore: 0)
Alcohol     Hybrid Journal   (Followers: 12, SJR: 1.153, CiteScore: 3)
Alcoholism and Drug Addiction     Open Access   (Followers: 11)
Alergologia Polska : Polish J. of Allergology     Full-text available via subscription   (Followers: 1)
Alexandria Engineering J.     Open Access   (Followers: 1, SJR: 0.604, CiteScore: 3)
Alexandria J. of Medicine     Open Access   (Followers: 1, SJR: 0.191, CiteScore: 1)
Algal Research     Partially Free   (Followers: 10, SJR: 1.142, CiteScore: 4)
Alkaloids: Chemical and Biological Perspectives     Full-text available via subscription   (Followers: 2)
Allergologia et Immunopathologia     Full-text available via subscription   (Followers: 1, SJR: 0.504, CiteScore: 1)
Allergology Intl.     Open Access   (Followers: 5, SJR: 1.148, CiteScore: 2)
Alpha Omegan     Full-text available via subscription   (SJR: 3.521, CiteScore: 6)
ALTER - European J. of Disability Research / Revue Européenne de Recherche sur le Handicap     Full-text available via subscription   (Followers: 10, SJR: 0.201, CiteScore: 1)
Alzheimer's & Dementia     Hybrid Journal   (Followers: 52, SJR: 4.66, CiteScore: 10)
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring     Open Access   (Followers: 4, SJR: 1.796, CiteScore: 4)
Alzheimer's & Dementia: Translational Research & Clinical Interventions     Open Access   (Followers: 4, SJR: 1.108, CiteScore: 3)
Ambulatory Pediatrics     Hybrid Journal   (Followers: 6)
American Heart J.     Hybrid Journal   (Followers: 56, SJR: 3.267, CiteScore: 4)
American J. of Cardiology     Hybrid Journal   (Followers: 59, SJR: 1.93, CiteScore: 3)
American J. of Emergency Medicine     Hybrid Journal   (Followers: 44, SJR: 0.604, CiteScore: 1)
American J. of Geriatric Pharmacotherapy     Full-text available via subscription   (Followers: 11)
American J. of Geriatric Psychiatry     Hybrid Journal   (Followers: 13, SJR: 1.524, CiteScore: 3)
American J. of Human Genetics     Hybrid Journal   (Followers: 34, SJR: 7.45, CiteScore: 8)
American J. of Infection Control     Hybrid Journal   (Followers: 28, SJR: 1.062, CiteScore: 2)
American J. of Kidney Diseases     Hybrid Journal   (Followers: 35, SJR: 2.973, CiteScore: 4)
American J. of Medicine     Hybrid Journal   (Followers: 48)
American J. of Medicine Supplements     Full-text available via subscription   (Followers: 3, SJR: 1.967, CiteScore: 2)
American J. of Obstetrics and Gynecology     Hybrid Journal   (Followers: 225, SJR: 2.7, CiteScore: 4)
American J. of Ophthalmology     Hybrid Journal   (Followers: 66, SJR: 3.184, CiteScore: 4)
American J. of Ophthalmology Case Reports     Open Access   (Followers: 5, SJR: 0.265, CiteScore: 0)
American J. of Orthodontics and Dentofacial Orthopedics     Full-text available via subscription   (Followers: 6, SJR: 1.289, CiteScore: 1)
American J. of Otolaryngology     Hybrid Journal   (Followers: 25, SJR: 0.59, CiteScore: 1)
American J. of Pathology     Hybrid Journal   (Followers: 28, SJR: 2.139, CiteScore: 4)
American J. of Preventive Medicine     Hybrid Journal   (Followers: 29, SJR: 2.164, CiteScore: 4)
American J. of Surgery     Hybrid Journal   (Followers: 38, SJR: 1.141, CiteScore: 2)
American J. of the Medical Sciences     Hybrid Journal   (Followers: 12, SJR: 0.767, CiteScore: 1)
Ampersand : An Intl. J. of General and Applied Linguistics     Open Access   (Followers: 7)
Anaerobe     Hybrid Journal   (Followers: 4, SJR: 1.144, CiteScore: 3)
Anaesthesia & Intensive Care Medicine     Full-text available via subscription   (Followers: 63, SJR: 0.138, CiteScore: 0)
Anaesthesia Critical Care & Pain Medicine     Full-text available via subscription   (Followers: 19, SJR: 0.411, CiteScore: 1)
Anales de Cirugia Vascular     Full-text available via subscription   (Followers: 1)
Anales de Pediatría     Full-text available via subscription   (Followers: 3, SJR: 0.277, CiteScore: 0)
Anales de Pediatría (English Edition)     Full-text available via subscription  
Anales de Pediatría Continuada     Full-text available via subscription  
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 5, SJR: 4.849, CiteScore: 10)
Analytica Chimica Acta     Hybrid Journal   (Followers: 43, SJR: 1.512, CiteScore: 5)
Analytical Biochemistry     Hybrid Journal   (Followers: 188, SJR: 0.633, CiteScore: 2)
Analytical Chemistry Research     Open Access   (Followers: 12, SJR: 0.411, CiteScore: 2)
Analytical Spectroscopy Library     Full-text available via subscription   (Followers: 13)
Anesthésie & Réanimation     Full-text available via subscription   (Followers: 2)
Anesthesiology Clinics     Full-text available via subscription   (Followers: 23, SJR: 0.683, CiteScore: 2)
Angiología     Full-text available via subscription   (SJR: 0.121, CiteScore: 0)
Angiologia e Cirurgia Vascular     Open Access   (Followers: 1, SJR: 0.111, CiteScore: 0)
Animal Behaviour     Hybrid Journal   (Followers: 204, SJR: 1.58, CiteScore: 3)
Animal Feed Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.937, CiteScore: 2)
Animal Reproduction Science     Hybrid Journal   (Followers: 7, SJR: 0.704, CiteScore: 2)

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Journal Cover
Agricultural Systems
Journal Prestige (SJR): 1.156
Citation Impact (citeScore): 4
Number of Followers: 31  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0308-521X
Published by Elsevier Homepage  [3160 journals]
  • Soybean-maize off-season double crop system in Brazil as affected by El
           Niño Southern Oscillation phases
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Rogério de Souza Nóia Júnior, Paulo Cesar Sentelhas El Niño Southern Oscillation (ENSO) is one of the most important atmospheric-oceanic phenomena, responsible for climate variability in several Brazilian regions, which affects agriculture, mainly soybean – maize off-season succession. Therefore, the ENSO impacts on soybean – maize off-season double crop system can affect global food security, since Brazil is a major player as producer of these two crops, with a total production that represents 27% and 6% of world's soybean and maize production, respectively. In order to understand the risks associated to this crop system, the aim of this study was to assess the influence of ENSO phenomenon on the spatial and temporal soybean and maize off-season yield variabilities, considering simulations with three different crop models (FAO-AZM, DSSAT and APSIM) in a multi-model approach, and to determine the best sowing windows for this production system for each ENSO phase (El Niño, La Niña and Neutral) in different Brazilian producing regions. Previously calibrated and validated models were used to simulate soybean yields for 29 locations in 12 states, with sowing dates ranging from late September to early January of each growing season for a period of 34 years (1980–2013). The maize off-season sowing was done just after the soybean harvest, ranging from late January to early May. ENSO phases affected soybean and maize yields across the country, which can be minimized by choosing the best sowing window for soybean. In northern Brazil, El Niño negatively impacts soybean and maize off-season yields, making the succession of these crops risk, with the best sowing window being very short. Similar result was found for southern and central Brazil during La Niña years. On the contrary, cropping soybean and maize off-season in succession during El Niño years in center-south of and during La Niña years up north have higher chances of success.Graphical abstractUnlabelled Image
  • Structural characteristics of organic dairy farms in four European
           countries and their association with the implementation of animal health
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Isabel Blanco-Penedo, Karin Sjöström, Philip Jones, Margret Krieger, Julie Duval, Felix van Soest, Albert Sundrum, Ulf Emanuelson The aim of the present study was to classify the diversity of organic dairy farms in four European countries according to their structural characteristics and investigate the association of these farm types with implementation of herd health plans. A Multiple Correspondence Analysis (MCA), followed by Agglomerative Hierarchical Clustering (AHC), was used to classify the farms. Data for the analysis came from a survey of 192 organic farms from France, Germany, Spain and Sweden and contained farm and farmer descriptions from which the typologies were derived. Herd health plans was agreed for each farm, via a participatory approach involving the farmers, their veterinarians and other advisors (e.g. dairy advisors) by the use of an impact matrix. The MCA yielded two principal component axes explaining 51.3% of variance. Three farm groups were identified by AHC using the factor scores derived from the MCA. Cluster 1, the most numerous group (56.7% of the sample), had medium herd sizes with moderate use of pasture and moderate intensity of input use. Cluster 2, representing 17.7% of the sample, were the most extensive system and mainly of very small farm size. Cluster 3 (25.5% of the sample and only found in Sweden), had an intensive management approach, but relatively low stocking rate. The analysis also showed that organic dairy farms adopted differentiated strategies towards economic assets and animal health status, according to group membership. The typology therefore provides insights into the potential for advisory strategies relating to husbandry practices, different housing, pasture management and intensity, etc. adapted to different groups of farms. Regarding herd health plan implementation, Cluster 1 was the group with most implemented actions and Cluster 2 with lowest rate of implemented actions. These results may be used as background for directing (tailored) advice strategies, i.e. different types of organic dairy farms (clusters) may require different types of advisory services and recommendations adapted to the specific farm situation in order to deliver future improvements in animal health.
  • Mathematical programming model (MMP) for optimization of regional cropping
           patterns decisions: A case study
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Mostafa Mardani Najafabadi, Saman Ziaee, Alireza Nikouei, Mahmoud Ahmadpour Borazjani The economic, technical and strategic factors are the three most important factors in examining the cropping patterns in Iran. Iran is geographically located in a part of the planet with specific climate constraints. Drought is one of the constraints that has been a major challenge to agricultural development for many years and has always been the subject of discussions and investigations. On the other hand, constraints such as agricultural soils, economic factors, climate change, agricultural workforce, etc., multiply the production challenges in the country. Despite such constraints, planning a coherent and targeted program for the cultivation of crops and overcome the existing problems is inevitable. The present study introduced a model for optimization of regional cropping pattern decisions, which is one of the subsets of the Multi-Objective Structural Planning (MOSP) approach, and addressed different objectives, such as economic, social and environmental objectives, separately and jointly. However, it is important to address the exchange of crops in different areas in order to achieve the fundamental objectives of determining the optimal cropping pattern. Therefore, in the proposed model of optimal regional cropping pattern, issues such as the transportation of crops and, consequently, virtual water and energy exchanges were also considered. In order to evaluate the proposed model, agricultural arable lands located in the political-geographic divisions of 23 counties of Isfahan province (Iran) were selected for examination. The results showed that in the main groups of grains and forage, a significant reduction was observed in the optimal crop area of the multi-objective model by 26% and 5%, respectively. Increasing the crop area of horticultural products by 10% in the optimal pattern of multi-objective model was another important factor in the analysis of the results. In general, in order to achieve the economic, social and environmental objectives mentioned in this study within the framework of a multi-objective planning, a 16% reduction in the level of the crop area in Isfahan province is inevitable. The results of this measure are reduction in the irrigation water consumption by 17%, increase in the profit by 58% and increase in the production by 11%. Regarding the fact that in the structural planning of cropping pattern, different and sometimes conflicting objectives are considered and the compromise between the objectives is possible in the multi-objective structural planning model, the decision makers are recommended to use this model.
  • Comparing soil respiration and carbon pools of a maize-wheat rotation and
           switchgrass for predicting land-use change-driven SOC variations
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Andrea Nocentini, Andrea Monti The deployment of dedicated energy crops and the related land-use change are topical issues, particularly in relation to carbon storage and climate change mitigation effects. In order to maximize their mitigation potential and to fully supply new biorefineries, perennial energy crops may be established, not only on former idle and grazing lands, but also on the least remunerative cropland, as indirect land use change effects are still very uncertain. Possibly becoming a future land-use change option, the carbon flows of the most common crop rotation in Europe (maize-wheat) and the perennial grass switchgrass were measured, and later included in a biogeochemical model to build possible scenarios. Yearly mean soil respiration did not statistically differ between switchgrass and the annual cereals (2.9 and 2.5 Mg CO2 ha−1 month−1, respectively), but in switchgrass the peak flux was reached during crop growth (6.1 Mg CO2 ha−1 month−1), while in the cereal system it occurred in bare soil (after harvest and soil tillage) (4.5 Mg CO2 ha−1 month−1). Harvest residues contributing to soil organic matter were highest in maize (12.4 Mg ha−1 y−1) and decreased in switchgrass (−79%) and wheat (−87%). Root biomass was much higher in switchgrass (10.0 Mg ha−1 y−1) than maize (−81%) or wheat (−94%). Model projections showed how continuous switchgrass cycles of 15 years following annual crops cultivation were capable to keep building up SOC inventories (0.24 or 0.32 Mg ha−1 y−1) up to the year 2100. On the opposite, maintaining the land under maize-wheat cultivation, depending on maize stover management, would either produce a SOC loss (−3.6 Mg ha−1) or could help the soil increasing SOC (+9.4 Mg ha−1) towards a new equilibrium after two decades.
  • Review - Agricultural land suitability analysis: State-of-the-art and
           outlooks for integration of climate change analysis
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Komlavi Akpoti, Amos T. Kabo-bah, Sander J. Zwart Agricultural land suitability analysis (ALSA) for crop production is one of the key tools for ensuring sustainable agriculture and for attaining the current global food security goal in line with the Sustainability Development Goals (SDGs) of United Nations. Although some review studies addressed land suitability, few of them specifically focused on land suitability analysis for agriculture. Furthermore, previous reviews have not reflected on the impact of climate change on future land suitability and how this can be addressed or integrated into ALSA methods. In the context of global environmental changes and sustainable agriculture debate, we showed from the current review that ALSA is a worldwide land use planning approach. We reported from the reviewed articles 69 frequently used factors in ALSA. These factors were further categorized in climatic conditions (16), nutrients and favorable soils (34 of soil and landscape), water availability in the root zone (8 for hydrology and irrigation) and socio-economic and technical requirements (11). Also, in getting a complete view of crop’s ecosystems and factors that can explain and improve yield, inherent local socio-economic factors should be considered. We showed that this aspect has been often omitted in most of the ALSA modeling with only 38% of the total reviewed article using socio-economic factors. Also, only 30% of the studies included uncertainty and sensitivity analysis in their modeling process. We found limited inclusions of climate change in the application of the ALSA. We emphasize that incorporating current and future climate change projections in ALSA is the way forward for sustainable or optimum agriculture and food security. To this end, qualitative and quantitative approaches must be integrated into a unique ALSA system (Hybrid Land Evaluation System - HLES) to improve the land evaluation approach.
  • A methodology for redesigning agroecological radical production systems at
           the farm level
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Solène Pissonnier, Arnaud Dufils, Pierre-Yves Le Gal A redesign process at the farm level may be required for agricultural production systems to evolve in a manner that reduces their environmental and health impacts. This process leads to imagining configurations described as “radical” because they reach beyond the limits posed by the substitution of synthetic inputs by natural ones. An assessment of the possible effects of these configurations on farm functioning and performance is required to inform stakeholders about the advantages of testing and implementing them. This study describes an approach for designing and assessing such configurations that involves researchers, technicians and farmers. Some of these stakeholders can play the role of designers, who lead the redesign process, and/or experts, who provide references and knowledge throughout the exercise. The approach is based on six principles (evaluation, plausibility, precision, flexibility, diversity, iteration) and includes eight steps. Based on a diagnosis of the production context (step 1), some ideas of radical production system are imagined (step 2), which define the kind of experts to be involved (step 3). A farm, virtual or real, then is selected and characterized as a case study (step 4), and the specific objectives driving the farm's redesign process are described (step 5). Scenarios are then designed and characterized (step 6), quantitatively assessed using a simulation tool dedicated to the kind of production system studied (step 7), and compared in order to feed debates between designers and experts on the merits and limits of the various options designed (step 8). Steps 6 through 8 may be repeated as new ideas emerge. This methodology is illustrated with the case of a farm specialized in apple production on which a sheep unit is introduced to reduce pesticide use by ensuring grass management and reducing pest pressure. Two scenarios are designed according to the kind of sheep management. CoHort software was used to assess the two scenarios in terms of economic performance, frequency of pesticide use, and farm work organization. The limits and values of this redesign process are discussed regarding the hypothesis that must be made to characterize virtual biodiversity-based systems, the kind of involvement expected from farmers, and the opportunities provided by moving from the farm to territory scale in the case of crop-livestock systems. This redesign approach can potentially be applied to many topics, ranging from the consistent combination of agroecological practices to futuristic scenarios involving robots.
  • Women's land rights as a pathway to poverty reduction: Framework and
           review of available evidence
    • Abstract: Publication date: June 2019Source: Agricultural Systems, Volume 172Author(s): Ruth Meinzen-Dick, Agnes Quisumbing, Cheryl Doss, Sophie Theis This paper reviews the literature on women’s land rights (WLR) and poverty reduction. It uses the Gender, Agriculture and Assets Project (GAAP) conceptual framework to identify pathways by which WLR could reduce poverty and increase wellbeing of women and their households in rural areas. It uses a systematic review search methodology to identify papers for inclusion, but adopts a more synthetic approach to assess the level of agreement and the amount of evidence within this literature. The paper examines the evidence from qualitative as well as quantitative studies on each of these pathways. Owing to the scarcity of experimental studies, the review of empirical work is based mostly on observational studies. We find some evidence on these relationships, but many of the key pathways have not been empirically analyzed. The evidence is strong for relationships between WLR and bargaining power and decision-making on consumption, human capital investment, and intergenerational transfers. There is a high level of agreement, but weaker evidence on the relationship between WLR and natural resource management, government services and institutions, empowerment and domestic violence, resilience and HIV risk, and consumption and food security. There is less agreement and insufficient evidence on the associations between WLR and other livelihoods, and a higher level of agreement, but still limited evidence on associations between WLR and credit, technology adoption, and agricultural productivity. Notably, we find no papers that directly investigate the link between WLR and poverty. Many gaps in the evidence arise from a failure to account for the complexity of land rights regimes, the measurement of land rights at the household level, the lack of attention paid to gender roles, and the lack of studies from countries outside Africa. Many studies are limited by small sample sizes, the lack of credible counterfactuals, lack of attention to endogeneity and selection bias, and possible response bias on questions of domestic violence and empowerment. There are very few rigorous evaluations of reforms that strengthened WLR. The paper concludes that gaps in the evidence should not deter the careful design and implementation of programs and policies to strengthen WLR, given the ongoing land tenure reforms in many countries. Different modalities and mechanisms for strengthening WLR could be tested, with appropriate counterfactuals. Program designers and evaluators can strategically identify pathways and outcomes where evidence gaps exist, and deliberately design studies to close those gaps.
  • Integrated natural resource management as pathway to poverty reduction:
           Innovating practices, institutions and policies
    • Abstract: Publication date: June 2019Source: Agricultural Systems, Volume 172Author(s): Meine van Noordwijk Poverty has many faces and poverty reduction many pathways in different contexts. Lack of food and income interact with lack of access to water, energy, protection from floods, voice, rights and recognition. Among the pathways by which agricultural research can increase rural prosperity, integrated natural resource management deals with a complex nexus of issues, with tradeoffs among issues that are in various stages of denial, recognition, analysis, innovation, scenario synthesis and creation of platforms for (policy) change. Rather than on a portfolio of externally developed ‘solutions’ ready for adoption and use, the concept of sustainable development may primarily hinge on the strengths and weaknesses of local communities to observe, analyse, innovate, connect, organize collective action and become part of wider coalitions. ‘Boundary work’ supporting such efforts can help resolve issues in a polycentric governance context, especially where incomplete understanding and knowledge prevent potential win-win alternatives to current lose-lose conflicts to emerge. Integrated research-development approaches deal with context (‘theory of place’) and options (‘theory of change’) in multiple ways that vary from selecting sites for studying pre-defined issues to starting from whatever issue deserves prominence in a given location of interest. A knowledge-to-action linkage typology recognizes three situations of increasing complexity. In Type I more knowledge can directly lead to action by a single decision maker; in Type II more knowledge can inform tradeoff decisions, while in Type III negotiation support of multiple knowledge + multiple decision maker settings deals with a higher level of complexity. Current impact quantification can deal with the first, is challenged in the second and inadequate in the third case, dealing with complex social-ecological systems. Impact-oriented funding may focus on Type I and miss the opportunities for the larger ultimate impact of Type II and III involvements.
  • Pathways from research on improved staple crop germplasm to poverty
           reduction for smallholder farmers
    • Abstract: Publication date: June 2019Source: Agricultural Systems, Volume 172Author(s): Jeffrey Alwang, Elisabetta Gotor, Graham Thiele, Guy Hareau, Moti Jaleta, Jordan Chamberlin Innovations to improve staple crop germplasm can reduce poverty and otherwise improve farmer livelihoods through complex and multiple pathways. This paper reviews the evidence for one prominent pathway—through increased incomes (in cash and kind) for poor farmers who adopt the technology.An important determinant of poverty reduction is the ability of poor producers to adopt productivity-enhancing varieties, and the paper analyzes recent household-level data from two African countries to examine if poor producers face unique barriers to adoption. A second determinant of poverty reduction is the area available to plant these varieties and whether the intensity of adoption is great enough to significantly reduce poverty. The paper uses a double-hurdle estimation framework to model the adoption/area planted joint decision for maize farmers in Ethiopia and sweet potato farmers in Uganda. The focus of the analysis is the effect of poverty-related variables on adoption/area planted decisions. Farmer wealth, landholding, education, location, and access to support and information services are included to understand how correlates of poverty affect adoption decisions.We find evidence that landholding size is an important barrier to poverty reduction; poor farmers are able to adopt improved varieties, but their intensity is constrained by land availability. In Uganda, farmers at the 95th percentile of adoption area received about $0.13 per person per day from the incremental yield, covering
  • To cluster or not to cluster farmers' Influences on network
           interactions, risk perceptions, and adoption of aquaculture practices
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Olivier M. Joffre, P. Marijn Poortvliet, Laurens Klerkx Over the course of just a few years, shrimp farming has become a major aquaculture production system in coastal areas of several developing countries across the globe. However, farmers are facing a variety of risks related to disease, market, and climate, which influence risk management strategies and adoption of new technologies. This paper looks at three practices related to pond management: (1) water quality management to ensure a good environment for shrimp growth; (2) adequate feed input; and (3) disease control practices in order to mitigate the risk of disease outbreak in the pond. We investigated adoption of these three practices in smallholder shrimp farms in the Mekong Delta, by exploring how and whether membership into a producer's cluster influences access to knowledge and perception of risk in the adoption process. The results show that, after controlling for farm characteristics, farm clustering has a positive relationship with the adoption of water quality management, feed inputs, and disease control practices. Results also indicate that increasing interaction frequency with public sector and private sector's actors, as well as the perceived degree of market risk, positively influences the adoption of the three pond management practices under study. Mediation analyses show that being a member of a farmer cluster influences adoption of farming practices via two underlying processes: frequency of interaction with public and private sector's actors, and perception of market risk, both of which ultimately promote the adoption of practices. We conclude that clustering is a promising avenue for fostering interactions between farmers and key supporting actors in aquaculture, and impacts both the formation of specific aqua-related risk perceptions and subsequent practice adoption. As such, clusters – by fostering linkages and facilitating interactions between different knowledge sources – can promote adoption of practices toward sustainable intensification. However, to more effectively deploy a cluster approach a key policy and practice implication is to take into consideration local idiosyncrasies defined by their social interactions, risk perception and spatial dimensions in order to better facilitate local linkages between farms (horizontal coordination) and a better integration with the value chain (vertical coordination).
  • A simple and parsimonious generalised additive model for predicting wheat
           yield in a decision support tool
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Kefei Chen, Rebecca A. O'Leary, Fiona H. Evans Yield prediction is a major determinant of many management decisions for crop production. Farmers and their advisors want user-friendly decision support tools for predicting yield. Simulation models can be used to accurately predict yield, but they are complex and difficult to parameterise. The goal of this study is to build a simple and parsimonious model for predicting wheat yields that can be implemented in a decision tool to be used by farmers at a paddock level.A large yield data set accumulated from trials on commonly grown varieties in Western Australia is used to build and validate a generalised additive model (GAM) for predicting wheat yield. Explanatory variables tested included weather data and derivatives, geolocation, soil type, land capability, and wheat varieties. Model selection followed a forward stepwise approach in combination with cross-validation to select the smallest set of explanatory variables. The predictive performance is also evaluated using independent data.The final model uses seasonal water availability, location and year to predict wheat yield. Because the GAM model has minimal inputs, it can be easily employed in a decision tool to predict yield throughout the growing season using rainfall data up to the prediction date and either climatological averages or seasonal forecasts of rainfall for the remainder of the growing season. It also has the potential to be used as an input to agronomic models that predict the effect on yield of various management choices for fertiliser, pest, weed and disease management.
  • Multi-objective simulation and optimisation of dairy sheep farms:
           Exploring trade-offs between economic and environmental outcomes
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): D. Villalba, B. Díez-Unquera, A. Carrascal, A. Bernués, R. Ruiz A decision support tool for sheep farming systems (PASTOR-DSS) was developed to investigate trade-offs between economic and environmental objectives on Spanish dairy sheep farms. The tool combines a hierarchical stochastic simulation model at three levels with a multi-objective optimisation procedure based on genetic algorithms. The first level of simulation includes rumen, reproduction and nutrient balance submodels. These three submodels are integrated into an animal model, which constitutes the second level. The third level is the farm, which includes the flock, the feeding and reproductive management, the availability of feeding resources, and the farm economics. The multi-objective genetic algorithm applies to the farm level. The tool was validated for the different levels of simulation, with outputs having an acceptable level of accuracy and representing correctly the links between feeding and reproduction. The tool was used to optimise the Latxa breed farming systems of the Basque Country (Spain). Two farm types were simulated: a COAST farm located in low-altitude Atlantic conditions and longer grazing period, and the INLAND farm located in mountain areas with a shorter grazing period. The optimisation provided a set of optimal solutions with different economic and environmental (N excretion) performances. The optimal solutions increased the financial margin over feed costs in both farms (+24% and + 22% for COAST and INLAND, respectively). The final space of solutions showed a clear trade-off between the economic and environmental performance (nitrogen excretion). The difference in the financial margin over feed costs between the solutions could be interpreted as the opportunity cost of greening in policy design, i.e., the payment that farmers should receive to change their farming methods to reduce nitrogen pollution.
  • Regional variations in the link between drought indices and reported
           agricultural impacts of drought
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): David J. Parsons, Dolores Rey, Maliko Tanguy, Ian P. Holman Drought has wide ranging impacts on all sectors. Despite much effort to identify the best drought indicator to represents the occurrence of drought impacts in a particular sector, there is still no consensus among the scientific community on this. Using a more detailed and extensive impact dataset than in previous studies, this paper assesses the regional relationship between drought impacts occurrence in British agriculture and two of the most commonly used drought indices (SPI and SPEI). The largest qualitative dataset on reported drought impacts on British agriculture for the period 1975–2012 spanning all major recent droughts was collated. Logistic regression using generalised additive models was applied to investigate the association between drought indices and reported impacts at the regional level. Results show that SPEI calculated for the preceding six months is the best indicator to predict the probability of drought impacts on agriculture in the UK, although the variation in the response to SPEI6 differed between regions. However, this variation appears to result both from the method by which SPEI is derived, which means that similar values of the index equate to different soil moisture conditions in wet and dry regions, and from the variation in agriculture between regions. The study shows that SPEI alone has limited value as an indicator of agricultural droughts in heterogeneous areas and that such results cannot be usefully extrapolated between regions. However, given the drought sensitivity of agriculture, the integration of regional predictions within drought monitoring and forecasting would help to reduce the large on-farm economic damage of drought and increase the sector's resilience to future drought.
  • Effects of uncertainty and farmers' risk aversion on optimal N fertilizer
           supply in wheat production in Germany
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Andreas Meyer-Aurich, Yusuf Nadi Karatay The role of nitrogen (N) fertilizer in mitigating economic risks in agriculture is under debate with contrasting views. This study contributes to an analysis of the economic response in wheat production to N fertilizer with respect to price premium structures for grain qualities from eight field experiments across Germany. Optimal N fertilizer levels were determined by different algorithms, based on average response, expected profit, and certainty equivalents with different attitudes toward risk aversion. The inherent uncertainty of yield response and crop quality response consistently resulted in higher expected profit with higher N rates than a management based on average response. Profit maximizing N rates based on maximum expected profit were substantially higher than economic optimal N rates based on average response data at 6/8 sites. Expected profit remained high over a large range of N fertilizer rates without a substantial downside risk and opportunity costs of deviating from optimal N rates within a range of 50 kg/ha. Protein price premiums reduce the riskiness of higher N rates and it is possible to apply higher N rates without increasing risk considerably.
  • Optimizing regional cropping systems with a dynamic adaptation strategy
           for water sustainable agriculture in the Hebei Plain
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Honglin Zhong, Laixiang Sun, Günther Fischer, Zhan Tian, Zhuoran Liang Unsustainable overexploitation of groundwater for agricultural irrigation has led to rapid groundwater depletion and severe environmental damage in the semi-arid Hebei Plain of China. Field experiments have recommended annual winter fallowing (i.e., forgoing winter wheat production) as the most effective way to replenish groundwater. However, adopting the recommendation across the Hebei Plain would lead to a significant reduction in total wheat production. This research aims to find the most favorable water-sustainable cropping systems for different localities in the Hebei Plain, which at the regional aggregation level maintains the uppermost overall levels of wheat and grain production respectively. Our simulations indicate that in the Hebei Plain, an optimal allocation of a wheat-early maize relay intercropping system and an early maize-winter fallow cropping system across the Hebei Plain could lead to significant water savings while minimizing grain production losses to around 11%. Compared to the prevailing wheat and summer maize cropping system, to prevent a drop in the water table, 39% of the current wheat cropping land would need to be fallowed in winter, reducing irrigation water use by 2639 × 106 m3. Replacing the prevailing wheat and summer maize cropping system with our optimized allocation system could lead to a 36% increase in total maize production and 39% decrease in total wheat production, resulting in total agricultural irrigation water savings of 2322 × 106 m3 and a total grain production reduction by 11%. The findings indicate the potential benefits of our cropping system adaptation method to meet the challenge of recovering local groundwater level with the least possible reduction of wheat and total grain production in the Hebei Plain.
  • Managing cow herd dynamics in environments of limited forage productivity
           and livestock marketing channels: An application to semi-arid Pacific
           island beef production using system dynamics
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Ty L. Tinsley, Steven Chumbley, Clay Mathis, Richard Machen, Benjamin L. Turner Sustainable ranching operations require access to adequate forage reserves and suitable means to market livestock, both of which are critical determinants of adaptive capacity (defined here as the ability to manipulate stocking rate). Ranch adaptive capacity is most relevant during times of forage shortages from drought. Unfortunately for island beef production systems, traditional adaptive measures used in continental systems are unavailable, such as transporting livestock to less affected areas, importing feed resources (cost prohibitive), intensive grazing practices or stockpiling forage (since forages mature too rapidly and are generally low quality), or destocking through cull cow sales (due to limited marketing and processing capacities). Located on an island of Hawaii, the case study ranch investigated here is challenged by each of these environmental and market constraints. The ranch resides on the leeward side of its island such that it receives minimal rainfall and forage productivity is similar to semi-arid rangelands in the western United States. The ranch's livestock management problem is compounded during drought, since island slaughter capacity is limited and there is no financially feasible means of marketing and transporting culled livestock off the island. Therefore, when forage is limited, managers are forced to retain ownership of culled mature cows, who are moved into a terminal herd to await the next available harvest or shipping availability. Terminal herds occupy areas with lower quality forages to conserve the most productive pastures for higher valued calves. This backlog of cull cows creates extended periods of stress on forage resources, since grazing pressure is not relieved as drought intensifies and increases operational expenses. A simulation model was created in an effort to identify key leverage points within the ranching operation that have the greatest impact on forage availability, herd size and net income. Upon completion of the model, sensitivity analyses were conducted to identify key drivers of model behaviors and several what-if scenarios were run based on questions provided by island ranch managers. Results showed that reducing terminal herd size through increased island processing capacity would not relieve forage pressure or eliminate the backlog of terminal cull cows, although net income was improved through greater cow sales. Several follow up tests were then run to evaluate changes to internal ranch decision making, which showed that reductions in heifer retention would provide a wider array of ecological and economic benefits. The ranch's ability to manipulate heifer retention rates, rather than cull cow rates, terminal herd shipping, or island processing capacity, was shown to be the critical aspect which drives ranch adaptive capacity.
  • Trade-offs between food security and forest exploitation by mestizo
           households in Ucayali, Peruvian Amazon
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): N. Andrieu, G. Blundo-Canto, G.S. Cruz-Garcia The Peruvian Amazon is undergoing rapid and uneven economic growth, alongside alarming rates of deforestation, increasing land use change and food security concerns. Although it has been widely acknowledged that food insecurity is intrinsically linked with deforestation, the links have not been thoroughly documented. The aim of this paper is to analyse the trade-offs and synergies between food security and forest exploitation at household level in mestizo communities in Ucayali, one of the regions with the highest deforestation rates in the Peruvian Amazon. To this end, 24 farmers were interviewed, surveys were conducted with a sample of 58 households, and an ad-hoc simulation modelling tool was developed and applied. Four main types of mestizo farming households were identified based on their crop and livestock diversity. For all farm types, the forest mainly represented a set aside area to support a potential increase in agricultural production. However, simulations showed that the different types of households, with different decision rules, lead to different rates of deforestation. The results of this study showed that the most diversified farming households presented the smallest trade-offs between food security and forest conservation, as they are the ones most likely to preserve the forest while ensuring their food security.
  • A model to examine farm household trade-offs and synergies with an
           application to smallholders in Vietnam
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Lenora Ditzler, Adam M. Komarek, Tsai-Wei Chiang, Stéphanie Alvarez, Shantonu Abe Chatterjee, Carl Timler, Jessica E. Raneri, Natalia Estrada Carmona, Gina Kennedy, Jeroen C.J. Groot Farm models have the potential to describe farming systems and livelihoods, identify trade-offs and synergies, and provide ex-ante assessments of agricultural technologies and policies. We developed three new modules related to budget, labor, and human nutrition for the bio-economic whole-farm model ‘FarmDESIGN’. The expanded model positions the farming enterprise within the farm household. We illustrate the model's new capabilities for farm households in two villages in Northwest Vietnam, where we conducted multi-objective optimization to identify options for improving the farm households' current performance on key sustainability and livelihood indicators. Modeling results suggest trade-offs between environmental, economic, and social objectives are common, although not universal. The new modules increase the scope for modeling flows of resources (namely cash, labor, and food) between the farm enterprise and the farm household, as well as beyond the farm gate. This allows conducting modeling explorations, optimization routines, and scenario analyses in farming systems research.Graphical abstractUnlabelled Image
  • Farmers' preferences for high-input agriculture supported by site-specific
           extension services: Evidence from a choice experiment in Nigeria
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Oyakhilomen Oyinbo, Jordan Chamberlin, Bernard Vanlauwe, Liesbet Vranken, Yaya Alpha Kamara, Peter Craufurd, Miet Maertens Agricultural extension to improve yields of staple food crops and close the yield gap in Sub-Saharan Africa often entails general recommendations on soil fertility management that are distributed to farmers in a large growing area. Site-specific extension recommendations that are better tailored to the needs of individual farmers and fields, and enabled by digital technologies, could potentially bring about yield and productivity improvements. In this paper, we analyze farmers' preferences for high-input maize production supported by site-specific nutrient management recommendations provided by an ICT-based extension tool that is being developed for extension services in the maize belt of Nigeria. We use a choice experiment to provide ex-ante insights on the adoption potentials of site-specific extension services from the perspective of farmers. We control for attribute non-attendance and account for class as well as scale heterogeneity in preferences using different models, and find robust results. We find that farmers have strong preferences to switch from general to ICT-enabled site-specific soil fertility management recommendations which lend credence to the inclusion of digital technologies in agricultural extension. We find heterogeneity in preferences that is correlated with farmers' resource endowments and access to services. A first group of farmers are strong potential adopters; they are better-off, less sensitive to risk, and are more willing to invest in a high-input maize production system. A second group of farmers are weak potential adopters; they have lower incomes and fewer productive assets, are more sensitive to yield variability, and prefer less capital and labor intensive production techniques. Our empirical findings imply that improving the design of extension tools to enable provision of information on the riskiness of expected outcomes and flexibility in switching between low-risk and high-risk recommendations will help farmers to make better informed decisions, and thereby improve the uptake of extension advice and the efficiency of extension programs.
  • Climate change induced impact and uncertainty of rice yield of
           agro-ecological zones of India
    • Abstract: Publication date: July 2019Source: Agricultural Systems, Volume 173Author(s): Rishabh Gupta, Ashok Mishra An innovative approach of using agro-ecological zones (AEZs), instead of using political boundaries, has been adopted for climate change impact analysis on rice production of India. The analysis has been carried out by using a process-based Crop Simulation Model (CSM)-CERES-Rice fed with improved state of art bias corrected climate projections from eight Global Climate Models (GCMs) for four expected climatic scenarios- Representative Concentration Pathways (RCP 2.6, 4.5, 6.0 and 8.5). Using weather-soil-crop information along with year-wise effect of CO2 increase assumption for different RCPs as input to the crop model, simulations were performed for the base period (1976–2005) as well as three future periods (2020s: 2006–2035, 2050s: 2036–2065, and 2080s: 2066–2095) for insight understanding of climate change impact on rice yield. Model simulated rice yields of future periods were compared with that of the base period to quantify the climate change impact. Results based on multi-GCM ensemble show expected increase in rice yield of most of the AEZs in RCP 2.6 but as on moving towards RCP 8.5 through RCP 4.5 and 6.0, the positive impact on rice yield in RCP 2.6, in major rice producing zones, is expected to mitigate and lead to the negative impact by 2080s. Large spatiotemporal variability is expected in most of the zones with humongous variability in arid and hilly zones. The overall change in spatial rice yield in India taking all used GCM-RCP combinations in consideration is expected to vary from 1.2 to 8.8%, 0.7 to 12.6% and −2.9 to 17.8% due to the expected climate change in 2020s, 2050s and 2080s, respectively.
  • Agri-food systems in international research for development: Ten theses
           regarding impact pathways, partnerships, program design, and
           priority-setting for rural prosperity
    • Abstract: Publication date: Available online 21 December 2018Source: Agricultural SystemsAuthor(s): Thomas P. Tomich, Preetmoninder Lidder, Jeroen Dijkman, Mariah Coley, Patrick Webb, Maggie Gill Drawn from numerous sources, including papers in this special issue, this concluding paper synthesizes evidence on the relationship between agricultural research for development and poverty reduction, with particular emphasis on agri-food systems perspectives in shaping programs aimed at rural prosperity. Following our introduction in section 1, we revisit the ex ante set of 18 pathways in section 2 (which were laid out in our introductory paper for this SI), posing some critical questions: Can a manageable set of impact pathways be identified' How are they inter-related' Rather than independent linear pathways, is it better (both conceptually and for clarity of communication) to represent these as impact networks rather than linear pathways' These insights lead to very different and more inclusive partnerships and contain their own implications for program design in section 3. The challenges facing the world today are complex, and no single organization or sector can hope to effectively confront these issues alone. Not only is partnership increasingly seen as a multi-stakeholder phenomenon rather than a bilateral one, but there also is a discernible move towards a network framing (e.g., as “innovation systems” or “boundary spanning”). This change is driven by the progressive inclusion of agricultural research goals as part of the wider development agenda, where complexity and systemic change are central. In turn, this requires more appropriate strategies for knowledge creation, innovation, and partnership. Section 4 presents implications for program design and priority-setting that follow from foregoing insights on the interplay of pathways and partnerships.
  • Innovation, investment and enterprise: Climate resilient entrepreneurial
           pathways for overcoming poverty
    • Abstract: Publication date: Available online 29 August 2018Source: Agricultural SystemsAuthor(s): Anamika Dey, Anil K. Gupta, Gurdeep Singh Harnessing innovative potential of individual and communities in high risk environments provides an entrepreneurial approach to poverty alleviation. The access to resources and the ability of communities to transform these resources technologically depends on the matrices of institutional assurances and attitude to take risks to convert ecological variability into entrepreneurial opportunities for investments. These innovations can emerge endogenously or sourced exogenously or might be a blend of both. The Honey Bee Network has evolved several instruments for scouting, documenting, validating and value-adding, financing and disseminating innovations for, from and with grassroots.Climatic fluctuations produce four kinds of household portfolios depending upon the average income or productivity and variance around it: a) high mean-low variance, b) high mean-high variance, c) low mean-low variance and d) low mean-high variance. Category d comprises the most vulnerable community members; but the challenge before agriculture scientist is to recognize that the economically poorest people may not be intellectually or institutionally poor. The grassroots innovations often remain localized and underdeveloped. Blending and/or bundling formal and informal knowledge systems can generate viable, investible choices for individuals, communities or a combination thereof. Innovation can take place in terms of various combinations of products, processes, services and systems (PPSS). The conventional agricultural system has not focused on creating or augmenting innovation capabilities or potential by modifying the interplay between existing institutions, technologies and resources. in the age of mass customization, the standardized solutions and packages have no place. Without enhancing local capabilities to interpret climatic and other sources of fluctuations, we cannot generate dynamic household portfolios of private, common and public resource based survival strategies.Innovations in instruments of engagement between formal and informal system are as important as technological and other innovations. The microfinance has to evolve into micro venture innovation finance so that communities and individuals can take risk to generate viable social and economic enterprises. Incentives to experiment, explore and fail may not work effectively without risk absorption mechanisms at different levels. While conventional intellectual property protection system is useful for market based economies, the concept of Technology Commons may be more apt for network based economies, promoting open sharing among communities but sharing with commercial firms through licensing.The proposed inclusive innovation ecosystem focuses at strengthening the coping strategies of marginal farmers, particularly women by 1) harnessing social & ethical capital by pooling and sharing of resources and associated knowledge, 2) converting access to resources and knowledge into episodic and/or perennial enterprises 3) overcoming climatic or market induced fluctuations through innovations in PPSS; 4) building self-designed, self-governed institutions i.e. autopoietic institutions for continuous learning and experimentation to overcome poverty; 5) encouraging third party interventions through heteropoietic institutions only for short term so as not to dissipate long term autopoietic potential for sustainability by having permeable and fuzzy boundaries to facilitate exchange of expertise, feedback and other resources as and when needed, and 6) fostering distributed, decentralized and diversified innovation-based portfolio of enterprises contributing to social, economic and ecological resilience.
  • Rapid transformation of food systems in developing regions: Highlighting
           the role of agricultural research & innovations
    • Abstract: Publication date: Available online 26 February 2018Source: Agricultural SystemsAuthor(s): Thomas Reardon, Ruben Echeverria, Julio Berdegué, Bart Minten, Saweda Liverpool-Tasie, David Tschirley, David Zilberman Developing regions' food system has transformed rapidly in the past several decades. The food system is the dendritic cluster of R&D value chains, and the value chains linking input suppliers to farmers, and farmers upstream to wholesalers and processors midstream, to retailers then consumers downstream. We analyze the transformation in terms of these value chains' structure and conduct, and the effects of changes in those on its performance in terms of impacts on consumers and farmers, as well as the efficiency of and waste in the overall chain. We highlight the role of, and implications for agricultural research, viewed broadly as farm technology as well as research pertaining to all aspects of input and output value chains.
  • Food and agricultural innovation pathways for prosperity
    • Abstract: Publication date: Available online 13 February 2018Source: Agricultural SystemsAuthor(s): Thomas P. Tomich, Preetmoninder Lidder, Mariah Coley, Douglas Gollin, Ruth Meinzen-Dick, Patrick Webb, Peter Carberry This introduction to the special issue deploys a framework, inspired by realist synthesis and introduced in Section 1, that aims to untangle the contexts, mechanisms, and outcomes associated with investments that link poverty reduction and rural prosperity within a broad agri-food systems perspective. Section 2 considers changes in contexts: Where are agricultural research investments most likely to be an engine of poverty reduction' Over the past 25 years, there have been profound changes in the development context of most countries, necessitating an update on strategic insights for research investment priorities relevant for the economic, political, social, environmental, and structural realities of the early 21st Century. Section 2 briefly surveys changes in these structural aspects of poverty and development processes in low-income countries, with particular attention to new drivers (e.g., urbanization, climate change) that will be of increasing salience in the coming decades. In Section 3, we turn to mechanisms: What are the plausible impact pathways and what evidence exists to test their plausibility' Poor farmers in the developing world are often the stated focus of public sector agricultural research. However, farmers are not the only potential beneficiaries of agricultural research; rural landless laborers, stakeholders along food value chains, and the urban poor can also be major beneficiaries of such research. Thus, there are multiple, interacting pathways through which agricultural research can contribute to reductions in poverty and associated livelihood vulnerabilities. This paper introduces an ex ante set of 18 plausible impact pathways from agricultural research to rural prosperity outcomes, employing bibliometric methods to assess the evidence underpinning causal links. In Section 4, we revisit the concept of desired impacts: When we seek poverty reduction, what does that mean and what measures are needed to demonstrate impact' The papers in this special issue are intended to yield insights to inform improvements in agricultural research that seeks to reduce poverty. History indicates that equity of distribution of gains matters hugely, and thus the questions of “who wins'” and “who loses'” must be addressed. Moreover, our understanding(s) of “poverty” and the intended outcomes of development investments have become much richer over the past 25 years, incorporating more nuance regarding gender, community differences, and fundamental reconsideration of the meaning of poverty and prosperity that are not captured by simple head count income or even living standard measures.
  • Climate risk management and rural poverty reduction
    • Abstract: Publication date: Available online 1 February 2018Source: Agricultural SystemsAuthor(s): James Hansen, Jon Hellin, Todd Rosenstock, Eleanor Fisher, Jill Cairns, Clare Stirling, Christine Lamanna, Jacob van Etten, Alison Rose, Bruce Campbell Climate variability is a major source of risk to smallholder farmers and pastoralists, particularly in dryland regions. A growing body of evidence links climate-related risk to the extent and the persistence of rural poverty in these environments. Stochastic shocks erode smallholder farmers' long-term livelihood potential through loss of productive assets. The resulting uncertainty impedes progress out of poverty by acting as a disincentive to investment in agriculture – by farmers, rural financial services, value chain institutions and governments. We assess evidence published in the last ten years that a set of production technologies and institutional options for managing risk can stabilize production and incomes, protect assets in the face of shocks, enhance uptake of improved technologies and practices, improve farmer welfare, and contribute to poverty reduction in risk-prone smallholder agricultural systems. Production technologies and practices such as stress-adapted crop germplasm, conservation agriculture, and diversified production systems stabilize agricultural production and incomes and, hence, reduce the adverse impacts of climate-related risk under some circumstances. Institutional interventions such as index-based insurance and social protection through adaptive safety nets play a complementary role in enabling farmers to manage risk, overcome risk-related barriers to adoption of improved technologies and practices, and protect their assets against the impacts of extreme climatic events. While some research documents improvements in household welfare indicators, there is limited evidence that the risk-reduction benefits of the interventions reviewed have enabled significant numbers of very poor farmers to escape poverty. We discuss the roles that climate-risk management interventions can play in efforts to reduce rural poverty, and the need for further research on identifying and targeting environments and farming populations where improved climate risk management could accelerate efforts to reduce rural poverty.
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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Fax: +00 44 (0)131 4513327
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