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Publisher: Springer-Verlag (Total: 2350 journals)

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Showing 1 - 200 of 2350 Journals sorted alphabetically
3D Printing in Medicine     Open Access   (Followers: 1)
3D Research     Hybrid Journal   (Followers: 21, SJR: 0.222, CiteScore: 1)
4OR: A Quarterly J. of Operations Research     Hybrid Journal   (Followers: 10, SJR: 0.825, CiteScore: 1)
AAPS J.     Hybrid Journal   (Followers: 22, SJR: 1.118, CiteScore: 4)
AAPS PharmSciTech     Hybrid Journal   (Followers: 7, SJR: 0.752, CiteScore: 3)
Abdominal Imaging     Hybrid Journal   (Followers: 15, SJR: 0.866, CiteScore: 2)
Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg     Hybrid Journal   (Followers: 4, SJR: 0.439, CiteScore: 0)
Academic Psychiatry     Full-text available via subscription   (Followers: 25, SJR: 0.53, CiteScore: 1)
Academic Questions     Hybrid Journal   (Followers: 8, SJR: 0.106, CiteScore: 0)
Accreditation and Quality Assurance: J. for Quality, Comparability and Reliability in Chemical Measurement     Hybrid Journal   (Followers: 27, SJR: 0.316, CiteScore: 1)
Acoustical Physics     Hybrid Journal   (Followers: 11, SJR: 0.359, CiteScore: 1)
Acoustics Australia     Hybrid Journal   (SJR: 0.232, CiteScore: 1)
Acta Analytica     Hybrid Journal   (Followers: 7, SJR: 0.367, CiteScore: 0)
Acta Applicandae Mathematicae     Hybrid Journal   (Followers: 1, SJR: 0.675, CiteScore: 1)
Acta Biotheoretica     Hybrid Journal   (Followers: 4, SJR: 0.284, CiteScore: 1)
Acta Diabetologica     Hybrid Journal   (Followers: 18, SJR: 1.587, CiteScore: 3)
Acta Endoscopica     Hybrid Journal   (Followers: 1)
acta ethologica     Hybrid Journal   (Followers: 4, SJR: 0.769, CiteScore: 1)
Acta Geochimica     Hybrid Journal   (Followers: 7, SJR: 0.24, CiteScore: 1)
Acta Geodaetica et Geophysica     Hybrid Journal   (Followers: 2, SJR: 0.305, CiteScore: 1)
Acta Geophysica     Hybrid Journal   (Followers: 10, SJR: 0.312, CiteScore: 1)
Acta Geotechnica     Hybrid Journal   (Followers: 7, SJR: 1.588, CiteScore: 3)
Acta Informatica     Hybrid Journal   (Followers: 5, SJR: 0.517, CiteScore: 1)
Acta Mathematica     Hybrid Journal   (Followers: 12, SJR: 7.066, CiteScore: 3)
Acta Mathematica Hungarica     Hybrid Journal   (Followers: 2, SJR: 0.452, CiteScore: 1)
Acta Mathematica Sinica, English Series     Hybrid Journal   (Followers: 6, SJR: 0.379, CiteScore: 1)
Acta Mathematica Vietnamica     Hybrid Journal   (SJR: 0.27, CiteScore: 0)
Acta Mathematicae Applicatae Sinica, English Series     Hybrid Journal   (SJR: 0.208, CiteScore: 0)
Acta Mechanica     Hybrid Journal   (Followers: 21, SJR: 1.04, CiteScore: 2)
Acta Mechanica Sinica     Hybrid Journal   (Followers: 5, SJR: 0.607, CiteScore: 2)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 7, SJR: 0.576, CiteScore: 2)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.638, CiteScore: 1)
Acta Neurochirurgica     Hybrid Journal   (Followers: 6, SJR: 0.822, CiteScore: 2)
Acta Neurologica Belgica     Hybrid Journal   (Followers: 1, SJR: 0.376, CiteScore: 1)
Acta Neuropathologica     Hybrid Journal   (Followers: 5, SJR: 7.589, CiteScore: 12)
Acta Oceanologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.334, CiteScore: 1)
Acta Physiologiae Plantarum     Hybrid Journal   (Followers: 2, SJR: 0.574, CiteScore: 2)
Acta Politica     Hybrid Journal   (Followers: 15, SJR: 0.605, CiteScore: 1)
Activitas Nervosa Superior     Hybrid Journal   (SJR: 0.147, CiteScore: 0)
adhäsion KLEBEN & DICHTEN     Hybrid Journal   (Followers: 8, SJR: 0.103, CiteScore: 0)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 23, SJR: 0.72, CiteScore: 2)
Adhesion Adhesives & Sealants     Hybrid Journal   (Followers: 9)
Administration and Policy in Mental Health and Mental Health Services Research     Partially Free   (Followers: 16, SJR: 1.005, CiteScore: 2)
Adsorption     Hybrid Journal   (Followers: 4, SJR: 0.703, CiteScore: 2)
Advances in Applied Clifford Algebras     Hybrid Journal   (Followers: 4, SJR: 0.698, CiteScore: 1)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 37, SJR: 0.956, CiteScore: 2)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 19, SJR: 0.812, CiteScore: 1)
Advances in Contraception     Hybrid Journal   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 54, SJR: 1.09, CiteScore: 1)
Advances in Gerontology     Partially Free   (Followers: 8, SJR: 0.144, CiteScore: 0)
Advances in Health Sciences Education     Hybrid Journal   (Followers: 28, SJR: 1.64, CiteScore: 2)
Advances in Manufacturing     Hybrid Journal   (Followers: 3, SJR: 0.475, CiteScore: 2)
Advances in Polymer Science     Hybrid Journal   (Followers: 44, SJR: 1.04, CiteScore: 3)
Advances in Therapy     Hybrid Journal   (Followers: 5, SJR: 1.075, CiteScore: 3)
Aegean Review of the Law of the Sea and Maritime Law     Hybrid Journal   (Followers: 6)
Aequationes Mathematicae     Hybrid Journal   (Followers: 2, SJR: 0.517, CiteScore: 1)
Aerobiologia     Hybrid Journal   (Followers: 3, SJR: 0.673, CiteScore: 2)
Aesthetic Plastic Surgery     Hybrid Journal   (Followers: 9, SJR: 0.825, CiteScore: 1)
African Archaeological Review     Hybrid Journal   (Followers: 16, SJR: 0.862, CiteScore: 1)
Afrika Matematika     Hybrid Journal   (Followers: 1, SJR: 0.235, CiteScore: 0)
AGE     Hybrid Journal   (Followers: 7)
Ageing Intl.     Hybrid Journal   (Followers: 7, SJR: 0.39, CiteScore: 1)
Aggiornamenti CIO     Hybrid Journal   (Followers: 1)
Aging Clinical and Experimental Research     Hybrid Journal   (Followers: 3, SJR: 0.67, CiteScore: 2)
Agricultural Research     Hybrid Journal   (Followers: 6, SJR: 0.276, CiteScore: 1)
Agriculture and Human Values     Hybrid Journal   (Followers: 14, SJR: 1.173, CiteScore: 3)
Agroforestry Systems     Hybrid Journal   (Followers: 20, SJR: 0.663, CiteScore: 1)
Agronomy for Sustainable Development     Hybrid Journal   (Followers: 12, SJR: 1.864, CiteScore: 6)
AI & Society     Hybrid Journal   (Followers: 8, SJR: 0.227, CiteScore: 1)
AIDS and Behavior     Hybrid Journal   (Followers: 14, SJR: 1.792, CiteScore: 3)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 4, SJR: 0.862, CiteScore: 3)
Akupunktur & Aurikulomedizin     Full-text available via subscription   (Followers: 1)
Algebra and Logic     Hybrid Journal   (Followers: 6, SJR: 0.531, CiteScore: 0)
Algebra Universalis     Hybrid Journal   (Followers: 2, SJR: 0.583, CiteScore: 1)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1, SJR: 1.095, CiteScore: 1)
Algorithmica     Hybrid Journal   (Followers: 9, SJR: 0.56, CiteScore: 1)
Allergo J.     Full-text available via subscription   (Followers: 1, SJR: 0.234, CiteScore: 0)
Allergo J. Intl.     Hybrid Journal   (Followers: 2)
Alpine Botany     Hybrid Journal   (Followers: 5, SJR: 1.11, CiteScore: 3)
ALTEX : Alternatives to Animal Experimentation     Open Access   (Followers: 3)
AMBIO     Hybrid Journal   (Followers: 10, SJR: 1.569, CiteScore: 4)
American J. of Cardiovascular Drugs     Hybrid Journal   (Followers: 16, SJR: 0.951, CiteScore: 3)
American J. of Community Psychology     Hybrid Journal   (Followers: 29, SJR: 1.329, CiteScore: 2)
American J. of Criminal Justice     Hybrid Journal   (Followers: 8, SJR: 0.772, CiteScore: 1)
American J. of Cultural Sociology     Hybrid Journal   (Followers: 16, SJR: 0.46, CiteScore: 1)
American J. of Dance Therapy     Hybrid Journal   (Followers: 4, SJR: 0.181, CiteScore: 0)
American J. of Potato Research     Hybrid Journal   (Followers: 2, SJR: 0.611, CiteScore: 1)
American J. of Psychoanalysis     Hybrid Journal   (Followers: 21, SJR: 0.314, CiteScore: 0)
American Sociologist     Hybrid Journal   (Followers: 12, SJR: 0.35, CiteScore: 0)
Amino Acids     Hybrid Journal   (Followers: 8, SJR: 1.135, CiteScore: 3)
AMS Review     Partially Free   (Followers: 4)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7, SJR: 0.211, CiteScore: 1)
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 5, SJR: 0.536, CiteScore: 1)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Analysis of Verbal Behavior     Hybrid Journal   (Followers: 5)
Analytical and Bioanalytical Chemistry     Hybrid Journal   (Followers: 32, SJR: 0.978, CiteScore: 3)
Anatomical Science Intl.     Hybrid Journal   (Followers: 2, SJR: 0.367, CiteScore: 1)
Angewandte Schmerztherapie und Palliativmedizin     Hybrid Journal  
Angiogenesis     Hybrid Journal   (Followers: 3, SJR: 2.177, CiteScore: 5)
Animal Cognition     Hybrid Journal   (Followers: 19, SJR: 1.389, CiteScore: 3)
Annales françaises de médecine d'urgence     Hybrid Journal   (Followers: 1, SJR: 0.192, CiteScore: 0)
Annales Henri Poincaré     Hybrid Journal   (Followers: 3, SJR: 1.097, CiteScore: 2)
Annales mathématiques du Québec     Hybrid Journal   (Followers: 4, SJR: 0.438, CiteScore: 0)
Annali dell'Universita di Ferrara     Hybrid Journal   (SJR: 0.429, CiteScore: 0)
Annali di Matematica Pura ed Applicata     Hybrid Journal   (Followers: 1, SJR: 1.197, CiteScore: 1)
Annals of Biomedical Engineering     Hybrid Journal   (Followers: 18, SJR: 1.042, CiteScore: 3)
Annals of Combinatorics     Hybrid Journal   (Followers: 4, SJR: 0.932, CiteScore: 1)
Annals of Data Science     Hybrid Journal   (Followers: 12)
Annals of Dyslexia     Hybrid Journal   (Followers: 10, SJR: 0.85, CiteScore: 2)
Annals of Finance     Hybrid Journal   (Followers: 30, SJR: 0.579, CiteScore: 1)
Annals of Forest Science     Hybrid Journal   (Followers: 7, SJR: 0.986, CiteScore: 2)
Annals of Global Analysis and Geometry     Hybrid Journal   (Followers: 1, SJR: 1.228, CiteScore: 1)
Annals of Hematology     Hybrid Journal   (Followers: 15, SJR: 1.043, CiteScore: 2)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12, SJR: 0.413, CiteScore: 1)
Annals of Microbiology     Hybrid Journal   (Followers: 11, SJR: 0.479, CiteScore: 2)
Annals of Nuclear Medicine     Hybrid Journal   (Followers: 4, SJR: 0.687, CiteScore: 2)
Annals of Operations Research     Hybrid Journal   (Followers: 10, SJR: 0.943, CiteScore: 2)
Annals of Ophthalmology     Hybrid Journal   (Followers: 11)
Annals of Regional Science     Hybrid Journal   (Followers: 7, SJR: 0.614, CiteScore: 1)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annals of Solid and Structural Mechanics     Hybrid Journal   (Followers: 9, SJR: 0.239, CiteScore: 1)
Annals of Surgical Oncology     Hybrid Journal   (Followers: 13, SJR: 1.986, CiteScore: 4)
Annals of Telecommunications     Hybrid Journal   (Followers: 9, SJR: 0.223, CiteScore: 1)
Annals of the Institute of Statistical Mathematics     Hybrid Journal   (Followers: 1, SJR: 1.495, CiteScore: 1)
Antonie van Leeuwenhoek     Hybrid Journal   (Followers: 5, SJR: 0.834, CiteScore: 2)
Apidologie     Hybrid Journal   (Followers: 4, SJR: 1.22, CiteScore: 3)
APOPTOSIS     Hybrid Journal   (Followers: 8, SJR: 1.424, CiteScore: 4)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2, SJR: 0.294, CiteScore: 1)
Applications of Mathematics     Hybrid Journal   (Followers: 2, SJR: 0.602, CiteScore: 1)
Applied Biochemistry and Biotechnology     Hybrid Journal   (Followers: 43, SJR: 0.571, CiteScore: 2)
Applied Biochemistry and Microbiology     Hybrid Journal   (Followers: 17, SJR: 0.21, CiteScore: 1)
Applied Cancer Research     Open Access  
Applied Categorical Structures     Hybrid Journal   (Followers: 2, SJR: 0.49, CiteScore: 0)
Applied Composite Materials     Hybrid Journal   (Followers: 49, SJR: 0.58, CiteScore: 2)
Applied Entomology and Zoology     Partially Free   (Followers: 4, SJR: 0.422, CiteScore: 1)
Applied Geomatics     Hybrid Journal   (Followers: 3, SJR: 0.733, CiteScore: 3)
Applied Geophysics     Hybrid Journal   (Followers: 8, SJR: 0.488, CiteScore: 1)
Applied Intelligence     Hybrid Journal   (Followers: 12, SJR: 0.6, CiteScore: 2)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4, SJR: 0.319, CiteScore: 1)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 6, SJR: 0.886, CiteScore: 1)
Applied Mathematics - A J. of Chinese Universities     Hybrid Journal   (SJR: 0.17, CiteScore: 0)
Applied Mathematics and Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.461, CiteScore: 1)
Applied Microbiology and Biotechnology     Hybrid Journal   (Followers: 64, SJR: 1.182, CiteScore: 4)
Applied Physics A     Hybrid Journal   (Followers: 9, SJR: 0.481, CiteScore: 2)
Applied Physics B: Lasers and Optics     Hybrid Journal   (Followers: 24, SJR: 0.74, CiteScore: 2)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8, SJR: 0.519, CiteScore: 2)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 12, SJR: 0.316, CiteScore: 1)
Applied Solar Energy     Hybrid Journal   (Followers: 18, SJR: 0.225, CiteScore: 0)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5, SJR: 0.542, CiteScore: 1)
Aquaculture Intl.     Hybrid Journal   (Followers: 24, SJR: 0.591, CiteScore: 2)
Aquarium Sciences and Conservation     Hybrid Journal   (Followers: 2)
Aquatic Ecology     Hybrid Journal   (Followers: 34, SJR: 0.656, CiteScore: 2)
Aquatic Geochemistry     Hybrid Journal   (Followers: 4, SJR: 0.591, CiteScore: 1)
Aquatic Sciences     Hybrid Journal   (Followers: 13, SJR: 1.109, CiteScore: 3)
Arabian J. for Science and Engineering     Hybrid Journal   (Followers: 5, SJR: 0.303, CiteScore: 1)
Arabian J. of Geosciences     Hybrid Journal   (Followers: 2, SJR: 0.319, CiteScore: 1)
Archaeological and Anthropological Sciences     Hybrid Journal   (Followers: 20, SJR: 1.052, CiteScore: 2)
Archaeologies     Hybrid Journal   (Followers: 12, SJR: 0.224, CiteScore: 0)
Archiv der Mathematik     Hybrid Journal   (Followers: 1, SJR: 0.725, CiteScore: 1)
Archival Science     Hybrid Journal   (Followers: 60, SJR: 0.745, CiteScore: 2)
Archive for History of Exact Sciences     Hybrid Journal   (Followers: 7, SJR: 0.186, CiteScore: 1)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 3, SJR: 0.909, CiteScore: 1)
Archive for Rational Mechanics and Analysis     Hybrid Journal   (SJR: 3.93, CiteScore: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.79, CiteScore: 2)
Archives and Museum Informatics     Hybrid Journal   (Followers: 144, SJR: 0.101, CiteScore: 0)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5, SJR: 1.41, CiteScore: 5)
Archives of Dermatological Research     Hybrid Journal   (Followers: 7, SJR: 1.006, CiteScore: 2)
Archives of Environmental Contamination and Toxicology     Hybrid Journal   (Followers: 14, SJR: 0.773, CiteScore: 2)
Archives of Gynecology and Obstetrics     Hybrid Journal   (Followers: 16, SJR: 0.956, CiteScore: 2)
Archives of Microbiology     Hybrid Journal   (Followers: 8, SJR: 0.644, CiteScore: 2)
Archives of Orthopaedic and Trauma Surgery     Hybrid Journal   (Followers: 8, SJR: 1.146, CiteScore: 2)
Archives of Osteoporosis     Hybrid Journal   (Followers: 2, SJR: 0.71, CiteScore: 2)
Archives of Sexual Behavior     Hybrid Journal   (Followers: 10, SJR: 1.493, CiteScore: 3)
Archives of Toxicology     Hybrid Journal   (Followers: 17, SJR: 1.541, CiteScore: 5)
Archives of Virology     Hybrid Journal   (Followers: 5, SJR: 0.973, CiteScore: 2)
Archives of Women's Mental Health     Hybrid Journal   (Followers: 14, SJR: 1.274, CiteScore: 3)
Archivio di Ortopedia e Reumatologia     Hybrid Journal  
Archivum Immunologiae et Therapiae Experimentalis     Hybrid Journal   (Followers: 2, SJR: 0.946, CiteScore: 3)
ArgoSpine News & J.     Hybrid Journal  
Argumentation     Hybrid Journal   (Followers: 6, SJR: 0.349, CiteScore: 1)
Arid Ecosystems     Hybrid Journal   (Followers: 2, SJR: 0.2, CiteScore: 0)
Arkiv för Matematik     Hybrid Journal   (Followers: 1, SJR: 0.766, CiteScore: 1)
Arnold Mathematical J.     Hybrid Journal   (Followers: 1, SJR: 0.355, CiteScore: 0)
Arthropod-Plant Interactions     Hybrid Journal   (Followers: 2, SJR: 0.839, CiteScore: 2)
Arthroskopie     Hybrid Journal   (Followers: 1, SJR: 0.131, CiteScore: 0)
Artificial Intelligence and Law     Hybrid Journal   (Followers: 11, SJR: 0.937, CiteScore: 2)
Artificial Intelligence Review     Hybrid Journal   (Followers: 15, SJR: 0.833, CiteScore: 4)
Artificial Life and Robotics     Hybrid Journal   (Followers: 9, SJR: 0.226, CiteScore: 0)
Asia Europe J.     Hybrid Journal   (Followers: 5, SJR: 0.504, CiteScore: 1)
Asia Pacific Education Review     Hybrid Journal   (Followers: 12, SJR: 0.479, CiteScore: 1)
Asia Pacific J. of Management     Hybrid Journal   (Followers: 16, SJR: 1.185, CiteScore: 2)
Asia-Pacific Education Researcher     Hybrid Journal   (Followers: 12, SJR: 0.353, CiteScore: 1)
Asia-Pacific Financial Markets     Hybrid Journal   (Followers: 2, SJR: 0.187, CiteScore: 0)
Asia-Pacific J. of Atmospheric Sciences     Hybrid Journal   (Followers: 19, SJR: 0.855, CiteScore: 1)
Asian Business & Management     Hybrid Journal   (Followers: 9, SJR: 0.378, CiteScore: 1)
Asian J. of Business Ethics     Hybrid Journal   (Followers: 9)
Asian J. of Criminology     Hybrid Journal   (Followers: 6, SJR: 0.543, CiteScore: 1)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 3, SJR: 0.548, CiteScore: 1)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 5, SJR: 0.183, CiteScore: 0)
ästhetische dermatologie & kosmetologie     Full-text available via subscription  

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Journal Cover
Agricultural Research
Journal Prestige (SJR): 0.276
Citation Impact (citeScore): 1
Number of Followers: 6  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2249-720X - ISSN (Online) 2249-7218
Published by Springer-Verlag Homepage  [2350 journals]
  • Association of Fruit and Shoot Borer Infestation in Eggplant with
           Morphological, Yield, Quality and External Weather Variables
    • Authors: A. V. V. Koundinya; Manas Kumar Pandit; Abhijit Saha
      Abstract: Abstract The association of the fruit and shoot borer (Leucinodes orbonalis Guen) Infestation in eggplant with morphological, yield, quality and weather variables was studied at Bidhan Chandra Krishi Viswavidyalaya, West Bengal, India, during the spring–summer (February–June) of 2012–2013 and 2013–2014 and autumn–winter (September–March) of 2013–2014 and 2014–2015. Earlier infestation occurred on the plants during the spring–summer, while late infestation of the pest was observed during the autumn–winter. The Number of infested shoots per plant, per cent shoot infestation, number of infested fruits per plant, per cent fruit infestation and larvae per fruit were greater during the spring–summer months than during the autumn–winter months. The fruit infestation had a significant negative association with fruit yield per plant. The number of infested fruits per plant was positively and significantly associated with primary branches per plant, fruits per plant and fruit yield per plant. A significant negative correlation was observed between spines on stem and number of infested shoots per plant, and the correlation of number of infested fruits per plant with the spines on the stem, petiole and pigmentation on leaf lamina was positively significant. Genotypes with purple colour flowers and fruits had greater eggplant fruit and shoot borer (EFSB) infestation. The long slender fruit shape and clustered fruiting habit promoted the EFSB infestation. The TSS and anthocyanin in peel were found as the phagostimulants, while the high total phenols content and 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging capacity were the feeding deterrents. The per cent of infested fruits per plant exhibited a positive correlation with maximum (Tmax), average (Tavg) and day temperatures. Larvae per fruit had a positive association with maximum temperature (Tmax), day temperature and helio-thermal units.
      PubDate: 2018-09-17
      DOI: 10.1007/s40003-018-0380-0
       
  • A Microlevel Analysis of the Adoption and Efficiency of Modern Farm Inputs
           Use in Rural Areas of Kano State, Nigeria
    • Authors: Abubakar Hamid Danlami; Shri-Dewi Applanaidu; Rabiul Islam
      Abstract: Abstract This study conducted a dual microanalysis of modern agricultural inputs use behaviour in rural areas of Kano State, Nigeria. Probit regression model was estimated to analyse the factors that influence modern inputs adoption. On the other hand, OLS, Poisson and instrumental variable regression models were used to estimate the efficiency of modern inputs adoption and consumption at farm level. The estimated OLS model indicates that additional use of 1 bag of fertiliser, increases the level of productivity by about 5.4%. Similarly, the estimated Poisson model indicates that an additional 1 bag of fertiliser use on a farm increases the productivity per hectare by about 4.5%. Meanwhile, the estimated 2SLS model shows that a 1% increase in the amount of fertiliser use increases the level of output productivity by about 0.34%. Furthermore, the method adopted by farmers on how to use modern agricultural inputs has a significant influence on the level of output production. Modern method of fertiliser application improves the level of output production. Government can use this medium to improve the rate of input use by rural farmers via agricultural schemes that will introduce the farmers to and maintain the modern techniques of farming. Additionally, farmers need to be exposed to skills and training on some off-farm jobs to raise their income to be able to afford the recommended amount of fertiliser. Lastly, the adoption of policies that will encourage the rate of farmers’ contact with extension agents will improve the manner of fertiliser utilisation which in turn increases the level of efficiency.
      PubDate: 2018-09-17
      DOI: 10.1007/s40003-018-0373-z
       
  • Consumer’s Preferences for Fresh Organic Produce in the Mid-Atlantic
           USA: An Econometric Analysis
    • Authors: Surendran Arumugam; Ramu Govindasamy; Isaac Vellangany; Hemant Gohil
      Abstract: Abstract The purpose of this study was to document the profile of the typical consumer who purchases specific organic produce in the Mid-Atlantic USA. An online survey was conducted to capture consumer’s interest and expectation toward organic fruits and vegetables. Data were collected through an online survey from 1100 participants, pre-screened, and identity checked from the pool of 5191 selected candidates using a private online survey company. We developed a multinomial logit model to predict consumer’s choice of organic fresh fruits and vegetables. Six most important fruits and vegetables were identified for this study, and rest of them were included in the “other” category. The “other” fruits and vegetables were left out of the regression as the base case. The results show that those who think organic food has better taste and has a graduate degree are more likely to choose banana compared to other fruits and vegetables. Respondents who preferred freshness, has a two-year college degree, and Caucasian, are more likely to choose carrot. Those who wish to support to local farmers and with education above high school are more likely to choose lettuce. Respondents with a two-year college degree are more likely to choose strawberries, whereas those who prefer organic wine are also more likely to choose apple. Also, those who prefer organic wine and the Caucasians are more likely to choose tomato over other fruits and vegetables. Producers of organic fruits and vegetables can target customers for sale, based on their demographics as well as their preference.
      PubDate: 2018-09-12
      DOI: 10.1007/s40003-018-0357-z
       
  • Modeling of Water Holding Capacity Using Readily Available Soil
           Characteristics
    • Authors: Reetashree Bordoloi; Biswajit Das; Gyati Yam; Pankaj K. Pandey; Om Prakash Tripathi
      Abstract: Abstract Soil water holding capacity (WHC) and its spatial variability is heavily affected by soil organic matter and texture and had significant influence for varied application such as regulating plant growth, soil drainage and soil functional attributes. The present study was conducted in central region of the state of Arunachal Pradesh with the aim of modeling the WHC using readily available soil characteristics. Soil parameters were analyzed using standard methodologies, and WHC modeling was done by developed predictive model using partial least squares regression (PLSR) technique. Water holding capacity (WHC) and bulk density decrease with the increase in altitude. Soil was acidic in nature, and acidity decreases with increasing altitude. Soil texture ranges from sandy loam to sandy clay loam. There was a significant increase in porosity with the increase in altitude and decrease in soil organic matter. The developed models using PLSR technique showed good predictivity based on different statistical performances and error indices ranged R2 = 0.73–0.77; root-mean-square error (RMSE) = 5.69–6.08%; and mean squared error (MSE) = 32.45–37.02%). Variable importance in prediction analysis reflects the relative importance of each soil variables in the developed prediction models. It showed that clay was among the most important influencing variable of WHC followed by soil moisture, altitude and silt. Hence, clay percent can be considered among the most important variable in the model for WHC prediction. Correlation analysis of the variables also showed that water holding capacity was found to be strongly positively correlated (r2 = 0.88) with clay content followed by bulk density (r2 = 0.62) and organic matter (r2 = 0.43). However, a negative relationship was observed with other soil parameters. Based on the analysis of the results, the PLSR developed model results good fit with the selected variables. Hence, it may be concluded that the developed model could be successfully used to predict WHC using identified predictors under limiting data conditions. The findings showed altitude as one of the suitable predictors along with RASCs, as inclusion of this resulted in improvement in predictive accuracy of developed models of WHC. Hence, inclusion of altitude as predictor is being recommended for further studies.
      PubDate: 2018-09-11
      DOI: 10.1007/s40003-018-0376-9
       
  • Evaluation of AccuPAR LP 80 in Estimating Leaf Area Index of Soybeans
           Canopy in Ile-Ife, Nigeria
    • Authors: Omotayo Babawande Adeboye; Amaka Precious Adeboye; Oyedele Samuel Andero; Olumide Babatope Falana
      Abstract: Abstract Rapid and reliable measurements of leaf area index (LAI) of soybeans are important for modelling biophysical processes, energy and water flux and management of weeds in the plant communities. AccuPAR LP 80 and central leaflet width method were used in computing green LAI (gLAI) of two varieties of row spaced rainfed soybeans: TGX 1448 2E and TGX 1440 1E for two seasons. There were five levels of soil fertility which generated 2 by 5 factorial experiments that were arranged in a randomised complete block design. The gLAI estimated during the initial, development, reproductive and maturity of the crop was compared using regression analysis. The gLAI obtained by the methods was significantly correlated (0.77 ≤ r2 ≤ 0.99, p < 0.0001; standard error of estimate, 0.05 ≤ SEE ≤ 0.67) in the two seasons. Pooled over the seasons and dataset, the two methods were linearly correlated (r2 = 0.89, p < 0.0001; SEE = 0.53). Degree of agreement ranged from 0.96 to 1.00 in the seasons. Regression coefficients ranged from 0.50 to 1.21, while the intercepts were between − 0.15 and 0.78 which indicates deviation from 1:1 line. Mean biased error ranged from − 1.74 to 0.19. AccuPAR LP 80 underestimated LAI from flowering or LAI ≥ 1.11 m2 m−2 and overestimated it during initial and late seasons. Considering the overall performance of the sensor and the rapid measurements, the sensor gave reliable and useful LAI for row spaced rainfed soybeans.
      PubDate: 2018-09-11
      DOI: 10.1007/s40003-018-0371-1
       
  • Factors Influencing the Stability of Contract Farming: An Empirical Study
           in China
    • Authors: Jing Hou; Ruiyao Ying; Bo Hou
      Abstract: Abstract This paper aimed to study the factors influencing the stability of contract farming. The empirical basis for our analysis was the data survey of 332 fruit households in China in 2017 and 2018. The main result of this study was that contract stability was significantly influenced by household characteristics, production characteristics, and contract terms. Specifically, the constraints in education, family asset, and farm scale were related to a higher rate of farmers’ contract breach; contract terms with floor pricing, bonus, and long duration were associated with a lower rate of farmers’ contract breach. Additionally, we found that farmers with greater risk aversion and patience were less likely to breach their contracts. Furthermore, the subsample result showed that farmers might be heterogeneous regarding the factors influencing contract breach. Contract stability is a relatively less researched dimension of contract farming, and we expect the paper to be a good addition to the existing literature on contract farming.
      PubDate: 2018-09-11
      DOI: 10.1007/s40003-018-0377-8
       
  • Variability of Monsoon Over Homogeneous Regions of India Using Regional
           Climate Model and Impact on Crop Production
    • Authors: R. Bhatla; Soumik Ghosh; Shruti Verma; R. K. Mall; Gaurav R. Gharde
      Abstract: Abstract Any alteration in climatic parameter (such as rainfall) governs crop growth and has had a direct impact on quantity of food production. On the complex topographical terrain of Indian subcontinent this work represents the impact of seasonal monsoon rainfall variability on major food crop production over five homogeneous regions of India. The major Rabi crops, wheat (Triticum aestivum), sorghum (Sorghum vulgare), pulses and kharif crops rice (Oryza sativa), maize (Zea mays) and groundnut (Arachis hypogea), have a sharp dependency on Indian summer monsoon rainfall (ISMR) over the regions. Trend analysis in production of major food crops has been analyzed along with the dependency on seasonal monsoon rainfall of IMD as well as regional climate model version 4.3. Yearly crop production of Rabi and kharif has shown a clear decreasing trend with ISMR distribution. This study also shows the worse affected homogeneous regions in agriculture crop production due to rainfall variability. Along with rice–sorghum–maize, wheat and groundnut production is sharply affected by the decreasing trend of monsoon rainfall over the North Central India which is also known as Gangetic plain. The post-monsoonal crop production is also influenced by seasonal monsoon rainfall variability, and the fluctuation in monsoonal and post-monsoonal crop production is indicating alarming situation for food security and becoming the current issue to feed the huge population of India.
      PubDate: 2018-09-11
      DOI: 10.1007/s40003-018-0368-9
       
  • Potential Role of Appropriate Technological Interventions in Enhancing
           Income of Sugarcane Farmers in Subtropical India
    • Authors: M. M. Roy; Amaresh Chandra
      Abstract: Abstract The rise in farmers’ income has been much less compared to many other sectors in India. This huge disparity in income has led to a level to require policy-level action to raise their income at a much faster rate. On account of the small holdings, a large number of farmers cultivating cash crops like sugarcane that is mostly procured by the sugar factories are feeling the brunt. It is realized that present business as usual approach is not going to achieve it. New innovative ways of incorporating appropriate technological interventions in a holistic framework and in a participatory mode are required. This paper describes some useful technologies that need promotion besides enforcement of farmer-friendly provisions of the Sugarcane (Control) Order 1966 in the context of significant improvement in sugarcane farmers’ income in the subtropical India.
      PubDate: 2018-09-11
      DOI: 10.1007/s40003-018-0387-6
       
  • Soil Matric Potential-Based Irrigation Scheduling to Potato in the
           Northwestern Indian Plains
    • Authors: Sanjeev Ahuja; D. S. Khurana; Kulbir Singh
      Abstract: Abstract A field investigation was conducted in sandy loam soil for two potato (Solanum tuberosum L.) growing seasons (October–January) to standardize the appropriate soil matric potential along with its depth of measurement during 2011–12 and 2012–13. The investigation was conducted under furrow-ridge irrigation system. The treatments comprised three soil matric potential (20, 35, 50 Kpa: (denoted as) S20, S35, S50) and three soil measured depth (20, 30, 40 cm: (denoted as) D20, D30 and D40) and a control (traditional practice) were replicated four times in randomized complete block design (RCBD). Analysis of pooled data for marketable and graded tuber yield, average tuber weight, discarded percent of tubers, root dry weight, plant height and above-ground dry matter accumulation 30, 60 days after planting (DAP) and at harvest favored under S35D20 and S20D20 treatments. Similarly pooled data of Water Use Efficiency (WUI) and Irrigation Water Use Efficiency (WUEi) for S35D20 treatment were more than double that of control treatment along with higher marketable tuber yield, beside 49% irrigation water savings. Our results revealed S35D20 was the best treatment for irrigation scheduling in potato. Conclusively, adopting this threshold corresponded to applying single irrigation two weeks after the complete emergence of crop and remaining 2–3 irrigations at 17 days interval, depending on the effective rainfall and potato growing season in the region.
      PubDate: 2018-09-11
      DOI: 10.1007/s40003-018-0352-4
       
  • Characterization of Rhizoctonia Species Complex Associated with Rice
           Sheath Disease in Karnataka
    • Authors: B. T. Nagaraj; Gururaj Sunkad; Pramesh Devanna; M. K. Naik; M. B. Patil
      Abstract: Abstract Sheath disease of rice is a complex biotic stress, caused by Rhizoctonia solani (sheath blight), R. oryzae (sheath spot) and R. oryzae-sativae (aggregate sheath spot). To determine the extent of distribution of these pathogen species, eighteen isolates of Rhizoctonia spp. were collected from different rice growing agroclimatic zones of Karnataka, India. Causal organisms were isolated from the diseased samples and identified based on morphological and molecular tools. Mycelial characters and sclerotial morphology were considered for species differentiation at culture level. Later, species identity was confirmed through polymerase chain reactions using previously standardized Rhizoctonia species-specific primers. Out of eighteen isolates, 14 isolates characterized as R. solani, two as R. oryzae and remaining two as R. oryzae-sativae. The results indicated that all three species of Rhizoctonia, viz. R. solani, R. oryzae and R. oryzae-sativae, are involved in causing rice sheath disease in Karnataka and R. solani was found predominantly distributed. Though sheath diseases caused by R. oryzae and R. oryzae-sativae are regarded as minor, their complementary role with R. solani in causing severe sheath disease epidemics has to be investigated. Accuracy in distinguishing these pathogens is essential to ensure the success of breeding programmes, which aim to develop rice varieties with resistance to sheath disease complex. As per the information available, this is the first report on the distribution of three species of Rhizoctonia associated with rice sheath disease in Karnataka.
      PubDate: 2018-09-10
      DOI: 10.1007/s40003-018-0374-y
       
  • Assessment of the Consequences of Changing Cropping Pattern on Land and
           Water Productivity: A case study of Haryana State, India
    • Authors: Seema Rani
      Abstract: Abstract Management and improvement of land and water resources are indispensable for increasing agricultural productivity because of emerging problems such as declining groundwater table, and depletion of soil quality. Policy makers need an understanding of the emerging trend in land and water productivity in an area for proper planning. Scanning of literature revealed the lack of data in this regard. Hence, this study aimed to analyze the temporal trend in cropping pattern and its impact on the land and water productivity in Haryana state of India during 1967–2016. Area, production and yield data of the main crops of both kharif (monsoon) and rabi (winter) seasons were collected from the Department of Agriculture of Haryana. Land productivity, water productivity, aggregate land and aggregate water productivity were computed for the study area. The findings showed a rise in land and water productivity (in physical terms) of all crops in last 49 years, but the growth rate has gone down. Major decline was found in rice and wheat productivity. Aggregate land and water productivity (in monetary terms) has shown a positive trend, suggesting that the farmers are receiving more returns from per unit of land and water. However, from agronomic perspective, the emerging cropping pattern is not sustainable in the long run, especially rice crop. Thus, an increase in water productivity is required, as water is becoming a scarce resource in the area. The study would be helpful for managing the land and water resources for a sustainable cropping system.
      PubDate: 2018-09-10
      DOI: 10.1007/s40003-018-0388-5
       
  • Influence of Photoperiod and EDTA Salts on Endogenous Gibberellic Acid
           Concentration of Tissue Culture Grown Potato Microplants
    • Authors: Pinky Raigond; Tanuja Buckseth; Brajesh Singh; Bhawana Kaundal; Rajesh Kumar Singh; Bir Pal Singh
      Abstract: Abstract Kufri Bahar, a leading potato variety is facing a problem of deshaped elongated tubers. Deshaping of tubers in form of elongation with jelly end formation leads to spoilage during transportation and storage. This elongation may be due to the stress conditions and/or enhanced gibberellic acid (GA) formation during micropropagation. Photoperiod and EDTA salts are reported to influence the GA concentration. Therefore, the effect of photoperiod and EDTA salts was investigated on the endogenous GA concentration of tissue culture microplants of potato vars Kufri Bahar and Kufri Lauvkar. The GA concentration in microplants grown in tissue culture media with Na-EDTA, Fe-EDTA and without EDTA ranged from 0.84 to 1.95 nmol/ml FW (fresh weight). In the present study, no correlation was observed between EDTA and GA concentration. Shoot length, internodal distance and number of nodes were more in microplants grown under a long photoperiod (16 h). Root length, number of roots and the number of leaves were high in short photoperiod (12 h) grown microplants. Gibberellic acid content showed similar trend as that of shoot length and ranged from 0.65 to 1.49 nmol/ml. Concentration of GA was more in var. Kufri Bahar compared to var. Kufri Lauvkar under the long photoperiod, which showed that Kufri Bahar is more responsive to photoperiod. High GA content in var. Kufri Bahar microplants grown under the long photoperiod could be the possible reason for tuber elongation. Therefore, to avoid the deshaping of tubers, the photoperiod during in vitro propagation may be shortened, particularly for var. Kufri Bahar.
      PubDate: 2018-09-08
      DOI: 10.1007/s40003-018-0364-0
       
  • Induction of Chitinase and Brown Spot Disease Resistance by Oligochitosan
           and Nanosilica–Oligochitosan in Dragon Fruit Plants
    • Authors: Le Nghiem Anh Tuan; Bui Duy Du; Le Doan Thanh Ha; Lai Thi Kim Dzung; Dang Van Phu; Nguyen Quoc Hien
      Abstract: Abstract The brown spot disease caused by Neoscytalidium dimidiatum fungus on dragon fruit plants (Hylocereus undatus) is an extremely serious disease. Oligochitosan (OC) and nanosilica (nSiO2) have been considered as effective plant elicitors. In this study, OC with Mw of 3000, 5000, and 7000 g/mol was prepared by γ-irradiation and nSiO2 with size ~ 45 nm was synthesized from rice husk. Mixture of nSiO2–OC was prepared by dispersing nSiO2 in OC solution. The resistant effect against brown spot disease on dragon fruit plants was assessed by measuring the induced chitinase enzyme activity and the disease severity after spraying OC, nSiO2–OC and inoculating fungus. The results showed that all OC enhanced chitinase induction and reduced disease severity compared with control, and the OC ~ 3000 g/mol exhibited the highest activity. The nSiO2–OC also exhibited similar effect as OC and nSiO2, but it was more effective than individual OC or nSiO2 from 120 h onward.
      PubDate: 2018-09-08
      DOI: 10.1007/s40003-018-0384-9
       
  • Impact of Extreme Weather Events on Wheat Yield in Different
           Agro-Ecological Zones of Middle Indo-Gangetic Plain
    • Authors: Sunil Kumar
      Abstract: Abstract The long period meteorological data of maximum temperature, minimum temperature and rainfall of Pusa, Purnia, Sabour and Patna stations representing different agro-ecological zone of middle Indo-Gangetic plain for the period (44–58 years) were analysed for trend analysis of temperature and rainfall for rabi season and heat waves, cold waves and extreme rainfall events for the whole year. The Theil–Sen’s slope and Mann–Kendall test were used to investigate the trends in climate variability (maximum and minimum temperature, rainfall) and extreme weather events (heat waves, cold waves and extreme rainfall). The maximum temperature had significant decreasing trend in Rabi season at Sabour. The minimum temperature had a significant increasing trend at all the stations in Rabi season. At Pusa, rainfall had a significant decreasing trend. Significant decreasing trend in heat waves at Pusa and Sabour stations were found. In this study, an attempt was made to assess the impact of these parameters on the productivity of wheat crop in Bihar. For this purpose, CROPSIM-Wheat model 4.6 was used to assess the change in wheat yield under different climate change scenarios for four locations viz. Pusa (zone I), Purnia (zone II), Sabour (zone III A) and Patna (zone III B) in Bihar. The model was run for the scenarios like increase in maximum temperature and minimum temperature with 1 °C, 2 °C and 3 °C separately and 1 °C, 2 °C, 3 °C, 4 °C increase in mean temperature keeping all parameters normal on wheat yield. Simulated wheat productivity revealed the reduction in grain yield by 7.4–10.4%, 15.3–21.2%, 21.6–30.9% and 26.9–38.6% in response to temperature rise by 1 °C, 2 °C, 3 °C and 4 °C, respectively, from baseline yield (1980–2010) at different locations. Warming temperature and greater incidence and intensity of extreme weather events due to climate change may significantly affect crop yield.
      PubDate: 2018-09-07
      DOI: 10.1007/s40003-018-0372-0
       
  • Analysis of Influence Factors on the Sieving Efficiency in Tea Vibration
           Sieving
    • Authors: Zhangfeng Zhao; Hejia Zhu; Guoda Chen; Jiang Zhong; Lun Chen
      Abstract: Abstract During the process of tea vibration sieving, the instability of tea flow has great influence on the sieving efficiency, which contains the sieving quality and sieving productivity. In this paper, the influence factors on the sieving efficiency in tea vibration sieving were studied. Firstly, the mechanism analysis of tea vibration sieving was conducted. Through the force and motion analysis of the tea particles, the sieving model of the stripe-shape tea particles was established to study the influence of vibration angle, rotation speed and acceleration in the sieving rate. Next, the tea vibration sieving process was simulated by the Matlab/Simulink to analyze the relationship between tea flow rate, rotation speed of tea vibration sieving machine and sieving efficiency. Finally, the theoretical analysis results were well verified by the experiments. The research results provide a certain theoretical foundation for designing and improving the tea vibration sieving machine, and can be used to guide the optimization of operation parameters.
      PubDate: 2018-09-06
      DOI: 10.1007/s40003-018-0381-z
       
  • Spatial Variability Analysis of Soil Properties of Tinsukia District,
           Assam, India
    • Authors: S. K. Reza; D. Dutta; S. Bandyopadhyay; S. K. Singh
      Abstract: Abstract Accurate analysis of spatial variability of soil properties is a key component of the agriculture ecosystem and environment modelling. A systematic study was carried out to explore the spatial variability of pH, organic carbon (OC), available nitrogen (AN), available phosphorus (AP) and available potassium (AK) in soils of Tinsukia district, Assam, India, for site-specific soil management. For this, a total of 3062 soil samples from a 0–25 cm depth (plough layer) at an approximate interval of 1 km were collected and analysed for different physical and chemical properties. Data were analysed both statistically and geostatistically on the basis of semivariogram. The values of soil pH, and OC, AN, AP and AK varied from 3.4 to 8.2, and 0.2–43.4, 1.1–37.3 and 12.5–392.8 mg/kg, respectively, with mean values of 4.6, and 13.8, 9.6 and 98.4 mg/kg, respectively. The largest variability in the soil properties was observed for K (55%), whereas the least variability was found for pH (14%). The semivariogram for pH, OC, AN, and AP was best fitted by the exponential model, whereas AK was best fitted by the Gaussian model. The range of all soil properties varied from 1119 to 3663 m; thus the length of the spatial autocorrelation is much longer than the sampling interval of 1000 m. Therefore, the current sampling design was appropriate for this study. The nugget/sill ratio indicated a moderate spatial dependence for pH, OC, N and P (33–73%) and a weak spatial dependence for K (82%). The generated spatial distribution maps can serve as an effective tool in site specific nutrient management. This is a prerequisite in farming systems in order to optimize the cost of cultivation as well as to address nutrient deficiency. The study also helped to identify and delineate critical nutrient deficiency zones.
      PubDate: 2018-09-06
      DOI: 10.1007/s40003-018-0365-z
       
  • Antioxidant Potentiality and Mineral Content of Summer Season Leafy
           Greens: Comparison at Mature and Microgreen Stages Using Chemometric
    • Authors: Lalu Prasad Yadav; Tanmay Kumar Koley; Ajay Tripathi; Surendra Singh
      Abstract: Abstract Nine summer season leafy greens viz., Amaranthus, bottle gourd, cucumber, jute, palak, poi, pumpkin, radish, water spinach, were evaluated for their antioxidants and mineral content at microgreen and mature stages. Among the antioxidants, total phenolics, total flavonoids, and ascorbic acid were quantified. Besides, antioxidant activities of the leafy vegetables were also measured using four in vitro assays viz., ferric reducing antioxidant power (FRAP), cupric reducing antioxidant power (CUPRAC), 2,2-diphenyl-1-picrylhydrazyl (DPPH), and Trolox equivalent antioxidant capacity assays (TEAC). In addition to this, the content of selected elements such as potassium (K), iron (Fe), manganese (Mn), zinc (Zn), and copper (Cu) was estimated. A wide variation was observed in the content of antioxidants and minerals. Variation was also observed for cultivar to cultivar as in case of Amaranthus. Results showed that the total phenolic content varied from 95.73 to 313.92 mg Gallic acid equivalent (GAE)/100 g in the mature vegetables, whereas the value varied from 25.00 to 152.10 mg GAE/100 g in microgreens. In fact, mature leafy vegetables were found to be significantly higher sources for total phenolics than microgreens. Likewise, a similar trend was observed for total flavonoids content and antioxidant activities. On the contrary, in all the species the concentration of K and Zn was significantly higher in microgreens than mature vegetables. However, no specific trend was observed in case of Fe, Cu, and Mn content. Based on antioxidant potentiality and mineral content, these leafy greens formed three distinct clusters; the first cluster represented by Amaranthus cv Local Green, jute, bottle gourd, and water spinach at mature stages. Jute was found to be the best, followed by bottle gourd, Amaranthus cv. Local Green, and water spinach.
      PubDate: 2018-09-06
      DOI: 10.1007/s40003-018-0378-7
       
  • Evaluation of Interspecific Somatic Hybrids of Potato ( Solanum tuberosum
           ) and Wild S. cardiophyllum for Adaptability, Tuber Dry Matter, Keeping
           Quality and Late Blight Resistance
    • Authors: Satish Kumar Luthra; Jagesh Kumar Tiwari; Vinod Kumar; Mehi Lal
      Abstract: Abstract Interspecific potato somatic hybrids (here after referred as ‘cph-hybrids’) derived earlier through protoplast fusion (Solanum tuberosum + S. cardiophyllum) were used in this study. The genetic potential of cph-hybrids was assessed based on the field performance in the Indian sub-tropical conditions. In general, cph-hybrids exhibited higher plant stand, poor plant vigour and late foliage maturity as compared to the control potato var. Kufri Bahar. Yield performance of cph-hybrids was poor as compared to the control, but produced 3–6 times higher marketable tuber yield than the wild parent (S. cardiophyllum). All cph-hybrids possessed significantly higher tuber dry matter content (≥ 24%) than the parents (20.82%) and var. Kufri Bahar (18.52%), excellent keeping quality and showed high resistance to late blight. Thus, based on this study the promising cph-hybrids viz., Crd 6, Crd 10 and Crd16, can be used as parents in breeding for the improvement of important traits viz., higher tuber dry matter content, better keeping quality and high late blight resistance, along with adaptability under sub-tropical conditions.
      PubDate: 2018-09-05
      DOI: 10.1007/s40003-018-0369-8
       
  • Statistical Modelling of Seed Germination and Seedlings Root Response of
           Annual Ryegrass ( Lolium rigidum ) to Different Stress
    • Authors: Azizur Rahman; Md Asaduzzaman
      Abstract: Abstract This study examines the role of various environmental factors, viz. salinity, water potential, alcohol, potassium nitrate, gibberellic acid, and root exudates of neighbouring Lolium angustifolius species on seed germination, and root growth of annual ryegrass (L. rigidum). According to a statistical model, a total of 20% seed was germinated at 100 mM of sodium chloride solutions suggesting that the species is moderate to high levels of salinity tolerant. Moderate to high levels of water stress did not inhibit seed germination of L. rigidum, and 15% seeds still germinated at − 8 MPa water. Germination process of non-germinated seeds due to salt stress was not accelerated by gibberellic acid, but about 30% seed germination was increased by 0.02 M potassium nitrate treatment. The hormesis model suggests that concentrations of potassium nitrate more than 0.04 had no effect to enhance seed germination. Seeds of L. rigidum were successfully germinated under a temperature range between 10 and 30 °C. A separate laboratory experiment determined that germination was not affected by root exudates of L. angustifolius but had a significant effect on seedling roots of L. rigidum, where density by variety had a major effect on the root growth of L. rigidum. At 20 seedlings of L. angustifolius, about 80% root growth of L. rigidum was controlled and 60% roots of L. rigidum showed bent or curved growth. These results showed that L. rigidum may possess a wide range adaptive mechanism to different environmental stress.
      PubDate: 2018-09-05
      DOI: 10.1007/s40003-018-0379-6
       
  • Diversity, Species Richness and Foraging Behaviour of Pollinators in
           Cashew
    • Authors: K. Vanitha; T. N. Raviprasad
      Abstract: Abstract Insect visitors documented on cashew flowers during the present investigation include 40 species belonging to 13 families of three insect orders. The Hymenopterans were the major floral visitors comprising of bees, ants and wasps followed by dipterans. Among the 40 species recorded as flower visitors, only 13 are considered as pollinators of cashew, in which eight belong to Apidae and five belong to Halictidae. Among the two bee families, Apidae was the most abundant contributing 75.6% of the bee abundance. Within Apidae, the highest species abundance was recorded for Braunsapis picitarsus (20%) followed by Apis cerana indica (16.7%). Halictidae bees contributed to 24.4% of bee abundance, among which Pseudapis oxybeloides was most abundant (17.6%). Peak bee activity was recorded between 11.00 and 13.00 h for most of the bees. During 10.00–13.00 h, B. picitarsus was the most abundant (22–31%) followed by P. oxybeloides (18–25%), A. c. indica (12–15%), Ceratina sp. (8–13%) and A. florea (6–14%). Foraging rate was more for A. c. indica followed by B. picitarsus and A. florea. Lesser time was spent by A. c. indica for nectar and P. oxybeloides for pollen (i.e. 1–4 s), while longer time of 3–21, 8–16 and 5–11 s was spent by A. florea, B. picitarsus and Tetragonula sp., respectively. Bees of C. hieroglyphica, Lasioglossum sp. and Seledonia sp. spent 2–6 s per flower. Foraging rate was higher in A. c. indica and B. picitarsus, while foraging speed was lesser in A. c. indica and P. oxybeloides. Nesting sites of different bee species and the common bee flora in the study area were also recorded.
      PubDate: 2018-09-05
      DOI: 10.1007/s40003-018-0370-2
       
 
 
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