Subjects -> AGRICULTURE (Total: 981 journals)
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    - AGRICULTURE (680 journals)
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AGRICULTURE (680 journals)            First | 1 2 3 4     

Showing 601 - 263 of 263 Journals sorted alphabetically
Science and Technology Indonesia     Open Access  
Science as Culture     Hybrid Journal   (Followers: 10)
Science, Technology and Arts Research Journal     Open Access   (Followers: 1)
Scientia Agricola     Open Access  
Scientia Agropecuaria     Open Access  
Seed Science and Technology     Full-text available via subscription  
Seed Science Research     Hybrid Journal  
Selçuk Tarım ve Gıda Bilimleri Dergisi     Open Access  
Semiárida     Open Access  
Siembra     Open Access  
Small Ruminant Research     Hybrid Journal   (Followers: 2)
Smart Agricultural Technology     Open Access  
Social & Cultural Geography     Hybrid Journal   (Followers: 26)
Social and Natural Sciences Journal     Open Access  
South African Journal of Agricultural Extension     Open Access   (Followers: 3)
South African Journal of Economics : SAJE     Hybrid Journal   (Followers: 7)
South African Journal of Plant and Soil     Hybrid Journal   (Followers: 1)
Spatial Economic Analysis     Hybrid Journal   (Followers: 9)
Sri Lanka Journal of Food and Agriculture     Open Access   (Followers: 1)
Stiinta Agricola     Open Access  
Studies in Australian Garden History     Full-text available via subscription   (Followers: 4)
Sugar Tech     Hybrid Journal   (Followers: 1)
Sustainability Agri Food and Environmental Research     Open Access   (Followers: 4)
Sustainability and Climate Change     Full-text available via subscription   (Followers: 18)
Sustainable Agriculture Research     Open Access   (Followers: 3)
Sustainable Environment Agricultural Science (SEAS)     Open Access  
Tanzania Journal of Agricultural Sciences     Open Access   (Followers: 4)
Terra Latinoamericana     Open Access  
The Agriculturists     Open Access  
The Journal of Research, PJTSAU     Open Access   (Followers: 13)
Translational Animal Science     Open Access  
Trends in Agricultural Economics     Open Access   (Followers: 7)
Tropical Agricultural Research     Open Access   (Followers: 2)
Tropical Agricultural Research and Extension     Open Access   (Followers: 2)
Tropical and Subtropical Agroecosystems     Open Access  
Tropical Grasslands - Forrajes Tropicales     Open Access  
Tropical Technology Journal     Open Access  
Tropicultura     Open Access  
Turkish Journal of Agricultural and Natural Science / Türk Tarım ve Doğa Bilimleri Dergisi     Open Access  
Turkish Journal of Agricultural Engineering Research     Open Access  
Ukrainian Journal of Veterinary and Agricultural Sciences     Open Access  
Uluslararası Tarım ve Yaban Hayatı Bilimleri Dergisi / International Journal of Agricultural and Wildlife Sciences     Open Access  
UNICIÊNCIAS     Open Access  
Universal Journal of Agricultural Research     Open Access  
Universidad y Ciencia     Open Access  
Urban Agricultural & Regional Food Systems     Open Access  
Viticulture Data Journal     Open Access  
VITIS : Journal of Grapevine Research     Open Access   (Followers: 1)
Walailak Journal of Science and Technology     Open Access  
Wartazoa. Indonesian Bulletin of Animal and Veterinary Sciences     Open Access  
Weed Biology and Management     Hybrid Journal   (Followers: 4)
Weed Research     Hybrid Journal   (Followers: 5)
West African Journal of Applied Ecology     Open Access  
Wildlife Australia     Full-text available via subscription   (Followers: 1)
Wirtschaftsdienst     Hybrid Journal   (Followers: 5)
World Journal of Agricultural Research     Open Access  
World Mycotoxin Journal     Hybrid Journal   (Followers: 3)
World's Poultry Science Journal     Full-text available via subscription   (Followers: 3)
علوم آب و خاک     Open Access  

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Universal Journal of Agricultural Research
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2332-2268 - ISSN (Online) 2332-2284
Published by Horizon Research Publishing Homepage  [50 journals]
  • A Comprehensive Review on Machine Learning Approaches for Yield Prediction
           Using Essential Soil Nutrients

    • Abstract: Publication date:  June 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  3  R. Prabavathi   and Balika J Chelliah   Agriculture is the backbone of India's economy, as it is the most important factor in the country's socio-economic development. Because of the rapid expansion in human population, the "Green Revolution" introduced high yield variety (HYV) seeds, which increased crop productivity but degraded crop and soil quality. This is due to the use of excessive amounts of chemical fertilizers in HYV seeds, as well as the irrigation system utilized to grow these seeds. This stunts the growth of the crops, resulting in financial and productivity losses. Because of field surveys, traditional ways to crop production prediction will take longer, and contemporary agriculture will face certain obstacles. As a result, a comprehensive review of various crop key factors such as climatic factors, soil nutrients, production factors, and environmental factors is conducted using a variety of machine learning approaches such as Support Vector Machine, bayes classifier, decision tree, random forest, linear regression and Extreme Learning Machines. The accuracy measures such as root mean square error, coefficient of determination and mean absolute error are used for comparing the performance of the system. Based on the findings of the reviews, an intelligent and robust machine learning technique provides the optimum option for achieving (i) soil fertility, (ii) crop prediction, and (iii) yield prediction. The importance of soil variables and the amount of nutrients available in the soil for growing crops has been found, according to an examination of 51 peer-reviewed studies, to create qualitative yield prediction. Furthermore, the investigations will yield recommendations for future fertilizer research.
      PubDate: June 2022
       
  • Prevalence of Insect Pests, Beneficial Organisms and Diseases of Abaca
           (Musa textilis Nee) in Two Municipalities of Aklan, Philippines

    • Abstract: Publication date:  June 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  3  Gene T. Señeris   Evelyn P. Vedasto   and Melba L. Ragaas   The study aims to assess and evaluate the occurrence, diversity and distribution of beneficial organisms, insect pests, and the prevalence of diseases in the 34 identified abaca-producing barangays of Madalag and Libacao, Aklan, Philippines. The descriptive and inferential research methods were employed in the study that generated both qualitative and quantitative data. A research-made questionnaire was distributed to 408 randomly selected farmers and a stratified sampling method was used as the study methodology. In the 34 identified abaca-producing barangays, three sampling plots were employed to gather data with regard the diversity and distribution of beneficial organisms, insect pests, and prevalence of diseases. All the species of beneficial organisms and insect pests were classified according to their order and the species diversity was computed using the Shannon-Wienner Index calculations. Results showed that the common beneficial organisms observed by the farmers are frogs which have two species (tree frog and cane frog) and the major insect pest infestation observed was banana skipper (larva). Based on Shannon-Wienner Index calculations, results indicate that the prevalence of beneficial organisms in both municipalities is more diverse than the insect pests which provide effective management of destructive insect pests through biological control. Data also reveal that the most prevalent diseases observed in the two municipalities are leaf blotch and cordana leaf spots. These diseases are found most active during the southwest monsoon which affects the Philippines from June to September.
      PubDate: June 2022
       
  • Silvofishery: In What Mangrove Coverage Condition Can this System Provide
           Benefits for the Community'

    • Abstract: Publication date:  June 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  3  Meilinda Suriani Harefa   Zulkifli Nasution   Miswar Budi Mulya   and Azhar Maksum   This article aims to explore and discuss silvofishery pond management and aquaculture by providing space for mangroves in ponds. This study focuses on the management of ponds for milkfish, crab, and shrimp cultivation in Tanjung Rejo Village, Percut Sei Tuan District, Deli Serdang Regency. A field study has been conducted for 6 months, during which data were collected from 21 silvofishery ponds using a non-probability convenience sampling method. Data were analyzed using Partial Least Squares (PLS) with Ordinary Least Squares (OLS) series analysis. Results show that the existence of extensive mangroves in ponds leads to good production in mangrove crab cultivation, which is supported by the natural shrimp and fish populations that enter at high tide in ponds, due to the benefits of mangroves as a habitat for mangrove crabs and brackish water fisheries. A small amount of mangrove area is concentrated on milkfish cultivation, which is supported by the addition of natural fish from outside the pond at high tide. The average income from silvofishery ponds, in Indonesian Rupiahs (IDR), is IDR 13,201,243 per ha. From this, it can be ascertained that the mangrove area is related to the amount of production in silvofishery ponds: the greater the use of mangroves in ponds, the more effective the cultivation and the greater the impact on fishermen's incomes. At an alpha level of 10%, all the direct hypotheses tested have a significant effect.
      PubDate: June 2022
       
  • Ways to Improve the Adaptability of Winter Wheat in the Eastern Part of
           the Northern Steppe of Ukraine

    • Abstract: Publication date:  June 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  3  Oleksander Vinyukov   Hanna Chuhrii   Anatoliy Gyrka   Roman Vyskub   and Olha Bondareva   The research was conducted to study the impact of new nutrient complexes on improving the yield of winter wheat and its adaptability in the eastern part of the Northern Steppe of Ukraine. The article aimed to determine the adaptive properties of winter wheat plants of various breeding centers in the eastern Northern Steppe of Ukraine, as well as to improve the technology of growing winter wheat through the use of new nutrient complexes. To achieve this goal, an algorithm of graphical analysis was used. It is established that the introduction of a new nutrient Complex 3 into the winter wheat cultivation technology, which includes: Sizam (250 g/t), Phosphoenterin (133.3 g/t), Diazophyte (133.3 g/t) Biopolicide (133.3 g/t) in the conditions of the eastern part of the Northern Steppe of Ukraine provides a yield increase on a mineral (N30Р30К30) nutrition background of 1.22 t/ha, on organo-mineral (N15Р15К15+biohumus (250 kg/ha)) — 0.78 t/ha and organic (biohumus — 250 kg/ha) nutrition background compared to the control. There was also a significant improvement in biometrics and the structure of winter wheat yields. A method for analysing the elements of productivity and plasticity of winter wheat is proposed, which allows the selection of drought-resistant varieties suitable for cultivation in the Northern Steppe of Ukraine. Also, it is determined that using a patented graphical algorithm for analyzing the level of ecological plasticity of cereal varieties due to the uniformity of environmental factors on the productivity of cereals allows for determining the most adapted plants. Thus, the varieties of winter wheat Bohynia and Oleksiivka were identified as the most flexible.
      PubDate: June 2022
       
  • Enabling Agricultural Sector through Blockchain Technology – Farmers
           Perspective

    • Abstract: Publication date:  June 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  3  Seranmadevi R.   Senthil Kumar A.   and Hariharan R.   The agricultural sectors in India and abroad have been affected extensively due to the Covid-19 pandemic. It is necessary to provide solutions for the availability of resources, controlling the cost, quality in production, transparent food supply, fulfilling demand, and removing intermediaries. The structural reforms in the agricultural sector by adopting emerging technologies, especially blockchain technology (BCT) and the robotics automation process, are inevitable during the pandemic and future development. To study the impact of blockchain on the Agriculture sector, the farmer's level of awareness of the blockchain technology, its methodological influence, the inclination of farmers to adopt the technology in their farming, and agri-related activity are vital. This paper aims to explore the opportunities of BCT in expanding the agriculture sector, ascertain the awareness and intensity of farmers' knowledge of the effect of BCT, and develop the mean difference in the opinion of the farmers towards the utilization of BCT in the relevant field of agriculture. A structured interview schedule was administered with 360 sample farmers from the Delta regions of three states located in the southern part of India, such as Andhra Pradesh, Karnataka, and Tamilnadu, using a purposive sampling technique intending. Irrespective of the age, gender, land capacity, possession, education level, learned procedures, and abundant experience helped the farmers demand a new technology interface to improve their income level and register their sustainability.
      PubDate: June 2022
       
  • Ubiquitous on-demand Water Reservoir Tracking System for Smart Village

    • Abstract: Publication date:  June 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  3  Indranil Sarkar   Sunil Karforma   Rajesh Bose   and Sandip Roy   One of the natural resources that is vital to our existence as humans is water. Since humans use water in their daily lives, it is essential to check the water level to solve extensive water supply especially during major crisis period. It is the most significant to make it available and avoid wastage. Background study highlights some earlier work on using GSM network services to monitor our system and also specifies the creation of a prepaid water metre system that lets for remote monitoring and charging of water intake without the need for human involvement. In this paper, we proposed a model that is described along with web-based data acquisition platform integrated to retrieve data through cellular networks. Using this technology many people like farmers are aware from time to time of their water level condition especially in summer or dry time in their different urban, semi-urban, or rural areas so that they use their water as per their demand. Our Internet of Things (IoT) based system also gives an automated alarm system that can send a message to its registered user for a drop of water level of any resources at their area. Therefore, our project is to develop an architecture which can measure volume of water in different water bodies along with geographical location. A mobile based application has been developed for real-time search along with water level status. So, it will help to balance our ecosystem. Our long-term goal is to provide a more reliable source of drinking water for the inhabitants of the locality.
      PubDate: June 2022
       
  • Trends and Conditions for the Formation of Profitability of Agricultural
           Enterprises: A Case Study of Lviv Region, Ukraine

    • Abstract: Publication date:  Feb 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  1  Tetiana Shmatkovska   Mykola Dziamulych   Nataliia Vavdiiuk   Serhiy Petrukha   Nataliia Koretska   and Andrii Bilochenko   In the article we investigate the problem of determining the main factors of increasing the profitability of agricultural enterprises in order to effectively use the resource potential of agricultural producers. In this study, we used a set of modern scientific methods, among which we highlight such methods as factor analysis, structural analysis, graphical and tabular methods, grouping methods, regression statistical analysis, etc. In particular, grouping methods are used in the study for the distribution of the researched enterprise's totality according to the special features of their functioning. Also in the process of our study regression, a statistical analysis method was used to build a regression model to assess the relationship of profit and revenue from agricultural enterprises with such factors as a capital ratio, the average annual amount of enterprise assets, the labour costs, and the number of material costs per unit of land area. Besides, in order to study the level of profitability of agricultural enterprises in terms of their organizational and legal forms of management, the scope of financial and economic activities as well as the unit of the occupied area, livestock and taking into account the products produced, we used the structural analysis method. According to the results of the study, we found that the profitability of agricultural enterprises in the Lviv region of Ukraine depends on the characteristics of their versatility. Thus, according to the results of the study we proved, that the constructed multifactorial correlation and regression models allow us to make the conclusion about availability of the significant impact on the profitability of the security of the agricultural enterprises in Lviv region of Ukraine and the level of their intensification of the production activities. Based on the study, it can be argued that the profit of agricultural enterprises is a key indicator for the implementation of the process of agricultural production, and is one of the main criteria for the effectiveness of the agricultural sector. It is determined that the activity of agricultural enterprises is significantly influenced by external factors that are not directly related to the production activities of enterprises.
      PubDate: Feb 2022
       
  • Formulating Agricultural Extension Planning Based on Farmer Achievement:
           The Case of Organic Rice Farming Risk Mitigation in Indonesia

    • Abstract: Publication date:  Feb 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  1  Ujang Maman   Yusron Razak   Murodi   Asep Saefuddin   Faisal Hendra   Zirmansyah   Nindyantoro   Lilis Imamah Ichdayati   and Junaidi   Currently, more than 65% of Indonesian farmers are at the age of 45 years or older. In next 30 years, it is estimated that Indonesia will experience a farmers' scarcity. The Indonesian government must raise millennial farmers who are relatively educated and have high creativity. But the coming of "new farmer" should be followed by changing agricultural extension model. The top-down extension is no longer suitable with basic characters of youth; they need a dialogical-participatory extension model which is based on their achievements. Therefore, by the case of mitigating organic rice farming system in Indonesia, this research aims to identify ORFS's risk mitigation attributes; achievement of mitigation implementation; and improvement priorities; and finally arrange agricultural extension planning based on this achievement. The sample of this research, by adopting Slovin Formula with less than 7% error probability, is 109 organic rice farmers in West Java, Indonesia. The in-depth interviews prove six mitigation attributes in cultivation and plant maintenance phase. Assisted by important-performance-analysis to determine farmer's achievement in implementation of these attributes, the agricultural extension planning should maintain the implementation of three attributes; remediate two attributes as main program, and extend the performance of one attribute as secondary program. The three attributes include promoting cultivation plant-based pesticide ingredient, training and outreach on manufacture and use of plant-based pesticides, and weeding plants without herbicides. The two attributes consist of socialization not to pollute organic agricultural land; and collaborate with relevant agencies to participate in the success of organic farming pilot project. The one attribute is giving sanctions for farmers who buy and use chemical inputs. The participatory extension model should be applied to implement above three kinds of extension planning.
      PubDate: Feb 2022
       
  • Assessment of Prioritized Climate Smart Agricultural Practices and
           Technologies of Household Farmers in Southeast, Nigeria

    • Abstract: Publication date:  Feb 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  1  Igberi C. O.   Osuji E. E.   Odo N. E.   Ibekwe C. C.   Onyemauwa C. S.   Obi H. O.   Obike K. C.   Obasi I. O.   Ifejimalu A. C.   Ebe F. E.   Ibeagwa O. B.   Chinaka I. C.   Emeka C. P. O.   Orji J. E.   and Ibrahim-Olesin S.   The study assessed prioritized climate smart agricultural (CSA) practices and technologies of household farmers in Southeast, Nigeria. A multi-stage sampling technique was used to isolate 326 household farmers who participated on the study. Data collection was done using research instrument (questionnaire). Both descriptive and inferential statistics were employed for data analysis. Results indicated that majority of the respondents were females, had secondary education, and had household size of 9 persons with a mean age of 48 years and 19 years of farming experience. Temperature variation (3.85), increase in number of sunny days (3.50), increase in amount of rainfall (3.10), variation in rainfall pattern (3.56), decrease in total rainfall (3.21), increase in frequency of heavy rains (2.85), etc were seriously perceived as climate change effects in the area. Again, various prioritized CSA practices and technologies such as growing a single crop, using a mixture of appropriately chosen genotypes of a given species (46.6%), use of quality seeds and planting materials of well-adapted crops and varieties (77.9%), crop rotation and diversity (41.1%) integrated pest management (47.5%), improved water use and management (26.4%), etc. were adopted by the farmers in mitigating climate change effects. Climate threats identified in the area include, decrease in overall productivity due to increased extreme weather events (0.97), decrease in crop production due to changes in average rainfall (0.94), decrease crop production due to increase in temperatures and rainfall variability (0.79), rapid migration of some pests and diseases (0.72), etc. Lack of access to up to-date information (2.88), access to micro-finance and insurance (2.57), access to agricultural input and output markets (2.14), etc. constrained the adoption of CSA practices. Age, education, occupation, years in farming experience further influenced the adoption of CSA practices and technologies. Policy motions in propagating climate change awareness through the mass media were recommended.
      PubDate: Feb 2022
       
  • Efficiency of Some Traps to Measure Flux Dust Suspension Particles by Wind
           Erosion

    • Abstract: Publication date:  Feb 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  1  Omnia M. Wassif  This study was to analyze the efficiency (E) of traps in holding suspended soil particles that cause dust, environmental and agricultural problems by wind erosion in NWCZ, Egypt. These vertical and passive sediment traps with different design in rotary and fixed reservoir box and different methods of measured soil loss. Rotary Distance (RD), Fixed Distance (FD), Rotary Point (RP) and Fixed Point (FP) traps were compared with traditional trap Big Spring Number Eight (BSNE). The variation between traps’ efficiency as a function of height was significantly (P≤0.05) and was as follow: RD, FD, RP, and FP more increase than BSNE. The performance of the trap types as an efficiency of suspension particles (assumed to possess E=1 for suspended particle sizes) was as follow RD> FD> RP> FP> BSNE; 99%, 98%, 88%, 85%, 65% respectively. The efficiency of traps in suspension particles size (100 µm) were significant (P ≤ 0.05) and the best efficient were RD and FD. Therefore, RD and FD traps have direct methods for measuring soil loss by wind erosion and have the most acceptable, accurate, fastest and easiest in soil particle analyzed and therefore the most effective way to discriminate suspension particles.
      PubDate: Feb 2022
       
  • Evaluation of Financial Viability of Woodlots and Crops in Coast Region of
           Kenya

    • Abstract: Publication date:  Feb 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  1  Wekesa L.   Muema K.   and Muthini J.   Majority of farmers in the Coast Region of Kenya practice the agri-silviculture farming system as a source of their livelihood and well-being. However, most of them grow trees and agriculture crops on smallholdings that are characterized by a limited resource base calling for the adoption of enterprises with the potential of optimizing production and economic returns. Thus, financial assessments were carried out for both the trees and agriculture crops to establish profitable ones. The study was carried out as a cross-sectional survey using a questionnaire to collect data from smallholder farmers with woodlots and field crops selected using stratified random sampling procedures. The results reveal that woodlots were more profitable at their biological rotation than commonly grown field crops. Woodlots had average annual net earnings of US$364.46 per acre spread uniformly over their biological rotation. On the other hand, annual earnings from highly ranked field crops averaged US$177.39 per acre. It was, therefore recommended that farmers be encouraged to engage in woodlots but inter-crop them with field crops at the initial stages of establishment to help diversify, and optimize their incomes and food self-sufficiency at the farm level. Farmers are also advised to mechanize and use other technologies that minimize labour usage that was observed to be the highest cost component in woodlot establishment.
      PubDate: Feb 2022
       
  • Maximization of Strategic Crops Production in Iraq with Fuzzy Goal
           Programming

    • Abstract: Publication date:  Feb 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  1  Mohd Kamal Mohd Nawawi   Ibrahim Zeghaiton Chaloob   Jehan Saleh Ahmed   Razamin Ramli   and Suliadi Firdaus Sufahani   The need to increase agricultural production has become a challenging task for most countries. Generally, many resource factors affect the deterioration of production level, such as low water level, desertification, soil salinity, low on capital, lack of equipment, the impact of export and import of crops, lack of fertilizers, pesticide, and the ineffective role of agricultural extension services which are significant in this sector. The main objective of this research is to develop fuzzy goal programming (GP) model to improve agricultural crop production, leading to increased agricultural benefits (more tons of produce per acre) based on the minimization of the main resources (water, fertilizer, and pesticide) to determine the weight in the objectives function subject to different constraints (land area, irrigation, labor, fertilizer, pesticide, equipment, and seed). Fuzzy GP (FGP) and GP were utilized to solve multi-objective decision-making (MODM) problems. From the results, this research has successfully presented a new alternative method that introduced multi-interval weights in solving a multi-objective FGP and GP model problem in a fuzzy manner, in the current uncertain decision-making environment for the agricultural sector. The significance of this research lies in the fact that some of the farming zones have resource limitations while others adversely impact their environment due to misuse of resources.
      PubDate: Feb 2022
       
  • Ecosystem Carbon Stocks of Restored Mangroves and Its Sequestration in
           Northern Sumatra Coast, Indonesia

    • Abstract: Publication date:  Feb 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  1  Bambang Suprayogi   J. Purbopuspito   Meilinda Suriani Harefa   G.Y. Panjaitan   and Z. Nasution   The 2, 4, 6, 8, 10, 12 and 30-year restored mangroves were studied through non-destructive method by measuring their stem diameter and tree height. Two allometric references: (a) stem diameter (D30) and (b) combined quadratic stem diameter and tree height (D302H) were used to estimate aboveground and belowground vegetation carbon stocks. The soil samples were collected from different depth and analysed in laboratory for soil carbon. The objective of this study was to estimate ecosystem carbon stocks of restored mangroves and its sequestration. The growth of restored mangroves induced an increase of tree biomass and a corresponding increase in vegetation carbon stocks from 3.7 MgC ha-1 at 2-year to 136.8 MgC ha-1 at 30-years. However, soil carbon stocks among restored mangrove plots spread randomly and didn't follow the sequence of mangrove tree ages. Average (2-30 years) mangrove ecosystem carbon in Northern Sumatra estimated by D302H allometry (362.0 MgC ha-1) was higher than that estimated by D30 allometry (344.1 MgC ha-1). This higher trend was also followed by its carbon sequestration with values of 41.1 MgCO2e ha-1 yr-1 estimated by D302H allometry and 31.5 MgCO2e ha-1 yr-1 estimated by D30 allometry. It is concluded that the values of ecosystem carbon stock of restored mangroves and its sequestration estimated by combined quadratic stem diameter and tree height (D302H) are higher than if it is estimated by stem diameter (D30). The D302H value is higher because this allometry calculates the volume of the tree stem, while D30 allometry only calculates the surface of the stem. The range values of average ecosystem carbon sequestration of this study may be better used as a reference for Afforestation, Reforestation and Re-vegetation (ARR) verification than what has been used as default/conservative values.
      PubDate: Feb 2022
       
  • Efficiency and Productivity Analysis of the Indian Agriculture Sector
           Based on the Malmquist-DEA Technique

    • Abstract: Publication date:  Aug 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  4  Vishal Chaubey   Deena Sunil Sharanappa   Kshitish Kumar Mohanta   Vishnu Narayan Mishra   and Lakshmi Narayan Mishra   This article evaluated the agricultural performance of 31 states and union territories (UTs) in India from 2012 to 2017. The best agricultural productivity states and UTs in India were obtained using Malmquist based DEA technique and the efficiency score for each year was found using CCR model. The input parameter is taken as annual rainfall, total population, GDP, Workers, and net cultivated area, and the output parameter is taken as production of rice, wheat, coarse cereals, pulses, oil seeds, and sugarcane. The productivity of the states and UTs are compared, as well as the increase or decrease in productivity is calculated. Total productivity change was calculated using cumulative Malmquist index (CMI). As a result, Punjab, Rajasthan, Sikkim, and Uttar Pradesh are the most efficient states throughout the year, while Kerala and Goa are the least efficient. Maximum states and UTs advanced 61.25% in 2015-16, whereas maximum states and UTs declined 62.52% in 2012-13. The overall productivity change in Madhya Pradesh increases perfectly while Nagaland's is almost decreasing. Other factors that may have an influence on state and UTs agriculture productivity include capital investment and fertiliser use. Additional social and environmental performance criteria, such as contribution to local community development and harmful emission measurement, can be integrated as output criteria for sustainability performance analysis.
      PubDate: Aug 2022
       
  • The Aboveground Biomass Allometry and Carbon Stocks of Serial Age Planted
           Rhizophora apiculata in Northern Sumatra, Indonesia

    • Abstract: Publication date:  Aug 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  4  Bambang Suprayogi   Joko Purbopuspito   Meilinda S. Harefa   Grace Y. Panjaitan   and Zulkifli Nasution   The biomass and carbon stocks of 2, 6 and 10 year planted mangroves were studied through destructive method of weighting each tree component. The objective was to establish new allometries and carbon production of R. apiculata. Two aboveground biomass allometries of R. apiculata have been developed based on D30 (AGBD = 0.1224 D302.3380) and D302H (AGBDH=0.1508 D302H0.7793). Accuracy level of aboveground biomass estimation was 85.40% to the actual values of destructive calculation. Each biomass allometric equation can be applied accurately when the estimated mangrove ecosystem has similarity in species, age, tree-density, wood-density and growth factors of mangrove ecosystem where allometry is established. The allometric equation of above-ground carbon stock AGCD=0.0368D302.5996 (based on stem diamater) and AGCDH=0.0422D302H0.8730 (based on combined stem diameter and tree height) can be used to estimate the R. apiculata carbon stocks of non-destructive measurement. However, the accuracy level of AGCD and AGCDH allometries used to estimate non-destructive R. apiculata carbon stocks was 60.14% and 79.72% to the actual carbon value of destructive study. The average aboveground carbon stocks of 2 – 10 year R. apiculata were 37.2 MgC ha-1 (destructive actual value), 30.2 MgC ha-1 (D302H), and 29.9 MgC ha-1 (D30) respectively. It is concluded that the estimated allometric values of aboveground biomass and carbon productions of restored mangroves are closely related to the growth of stem diameter and tree height, but its values are lower than destructive actual value.
      PubDate: Aug 2022
       
  • Morphological Characteristics of Abaca (Musa textilis Nee') Cultivars
           Grown in Two Municipalities of Aklan, Philippines

    • Abstract: Publication date:  Apr 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  2  Gene T. Señeris   Evelyn P. Vedasto   Malco M. Teodosio   Melba L. Ragaas   and Lelisa J. Teodosio   The present study identified the different abaca (Musa textilis Nee) cultivars grown in the 34 identified abaca producing barangays of Madalag and Libacao, Aklan, Philippines, and evaluated the morphological characteristics of the matured abaca plant such as plant height, number of suckers, number of leaves, the circumference of pseudostem and length of stalks. Stratified random sampling was conducted. From the two municipalities, there were 34 abaca-producing barangays identified, and three abaca plantations were randomly selected to obtain the morphological characteristics of the different abaca cultivars using the prescribed measurement procedures. Distribution of the cultivars determined through geospatial mapping using Geographic Information System (GIS). Statistical analyses employed were single factor analysis of variance (ANOVA) and T-test to determine significant differences among groups/cultivars at α = 0.05 level of significance. The findings showed that there were four identified abaca cultivars commonly grown in Madalag and Libacao. These were Bisaya, Tabukanon, Agbayanon and Negro cultivars. Moreover, the morphological performance of the different cultivars responded differently. The study will provide relevant data on the distribution and morphological characteristics of abaca cultivars in the province. It could enhance programs and interventions in achieving the local and global demand for high-quality abaca fiber.
      PubDate: Apr 2022
       
  • Varietal Diversity, Seed Security and Adoption Dynamics of Rice Farmers in
           Eastern India

    • Abstract: Publication date:  Apr 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  2  Swati Nayak   Ritesh Dwivedi   Sk Mosharaf Hossain   Kuntal Das   and Monika Saxena   Rice in Indian state Odisha can contribute more to the agrarian economy if existing low productivity is ameliorated through varietal diversity, improved seed security, and a higher varietal turnover. This exploratory study has found 63% of farmers acquire seeds from farm-managed seed sources. The rice area is dominated by only four mega varieties and a low level of varietal diversity (0.311) was observed. In low land flood-prone areas, such diversity is relatively low (0.25) whereas upland areas have shown higher diversity (0.349). The diversity level increases with the increase in farmers' landholding size. Inter-region variation in varietal diversity is also noticeable indicating gaps in choices and access across regions. Farmers who participated in the varietal demonstration adopted varieties as indicated by increased acreage under those varieties in subsequent years. Farmer to farmer knowledge and seed sharing was found to be strongly present. In respect of varietal traits yield, grain quality, cooking quality, and diseases and pest tolerance are most considered by farmers for variety adoption. Even though seed availability is satisfactory in the state, the seed security dimensions like access, quality, varietal choice, and seed system stability need improvement to better the overall rice seed security at the farm level.
      PubDate: Apr 2022
       
  • Agro-Morphological Evaluation of Gamma Irradiated Oil Palm (Elaeis
           guineensis, Jacq.) M2 Population at the Nursery Stage

    • Abstract: Publication date:  Apr 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  2  Samuel Adu Osei   Daniel Agyei-Dwarko   Johnny Sackitey Ossom   Enoch Sapey   Wonder Nunekpeku   and Dickson Osei Darkwah   Morphological characterization is one of the steps that are considered important in the description and classification of cultivated crops. A field evaluation of gamma irradiated oil palm second generation (M2) progenies was carried out at Council for Scientific and Industrial Research – Oil Palm Research Institute (CSIR-OPRI), Kusi, Ghana. This experiment aimed to determine the agro-morphological performances of M2 population at the nursery stage. The entries were made up of eight (8) M2 progenies and a control, using randomized complete block design with three replications. Data were collected on plant height, number of leaves, leaf area, butt circumference, chlorophyll content of the leaves and stomatal conductance. All the characters studied exhibited significant (P < 0.05) variability among genotypes. The mean value (58.45 cm) of plant height for all the M2 progenies studied was 24% lower than that of the check (76.86 cm) and this is an indication of suspected dwarf trait which can be useful in crop improvement programmes. Progeny 14 performed significantly better in leaf production (9.60) and butt circumference (13.24 cm). The performance of progeny 15 was high with respect to leaf area (2135 cm2) and chlorophyll content (32.93 ug/g) while progeny 16 exhibited low stomatal conductance (5.90 m2s/mol), an indication of low transpiration rate and possible drought traits could be exploited in the development of drought tolerant materials.
      PubDate: Apr 2022
       
  • The Efficiency of Technical and Economic Utilization of Cagayan Valley
           Green Dairy Technologies

    • Abstract: Publication date:  Apr 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  2  Diosdado C. Cañete   and Ma. Teresa S. Alvarez   The Philippine dairy business, worth Php100 billion, has a far way toward meeting the country's dairy demands. Local dairy farmers fulfill 1% of the need, despite yearly imports of $800 million in dairy goods. Dairy is the third most imported agricultural item, with 85 percent of the country importing it in powder form, which is subsequently processed into a liquid for household usage. Milk manufacturing has a number of environmental consequences. Dairy cows and their dung create greenhouse gases including methane, nitrous oxide, and carbon dioxide, which contribute to climate change. The study assessed the technical and economic efficiency of green dairy technology utilization in the Cagayan Valley. Specifically, it analyzed the determinants that affect dairy farmers' technical and economic efficiency by utilizing green technologies. It gathered data and information via a semi-structured questionnaire. The data were processed using descriptive statistics and stochastic frontier analysis. The majority of the 11 dairy farmers surveyed were male, older farmers, with greater household size, who obtained their 9 years of school and had a lower monthly income of Php13,863.91. The productivity model reveals that the material costs that contributed to increasing milk productivity are significant. The lower cost of materials was due to the adoption of green technologies like silage making, vermiculture/composting, and recycling of farm wastes. The number of dairy animals, pre/post-harvest labor costs, and investment were all negative coefficients that did not affect milk productivity. Furthermore, age, household size, and agricultural years were among the technical inefficiencies that had a substantial impact. Dairy producers' technical inefficiency is aggravated by their age and years of farming. These farmers are getting older, starting at an age of 55.54, deteriorating their technical efficiency performance attributed to physical strength to perform dairying activities, while years of farming experience of 23.32 and above dairy farmers are attributed to their resistance to adopting green technologies. A household with four or fewer family members has fewer technical inefficiencies. The number of workers is usually drawn from the family members that contribute to better technical efficiency performance.
      PubDate: Apr 2022
       
  • Consumers' Acceptance of Isabela State University-Science and Technology
           (S&T) Based Chevon Products in Baguio City: Market Opportunities and
           Potential

    • Abstract: Publication date:  Apr 2022
      Source:Universal Journal of Agricultural Research  Volume  10  Number  2  May B. Cayaban   and Ma. Teresa S. Alvarez   In the Philippines, the goat business is very significant to the country's agriculture. Farmers can supplement their income by raising goats for a small investment. The purpose of this study was on consumer acceptance of ISU-S&T chevon products, notably in Baguio City, to provide baseline data for ISU-CVSRRC, private sector, and goat raisers to determine the market potential of canned chevon in the Philippines. Specifically, the demographic profile, level of consumer acceptance in terms of product appearance, flavor, aroma, texture, packaging, and price, and level of influence of health, economic, accessibility, and social factors on the consumer's acceptability of the chevon products were considered by 109 selected respondents. The descriptive-correlational design was used. Frequency and percentage distribution, mean and standard deviation were computed for the profiling of the respondents, and description of the levels of consumer acceptability and its influencing factors, respectively. The inferential part consisted of the computations of correlation coefficients, particularly the Pearson-r, Spearman rho, and eta coefficients, to establish relationships among variables evaluated at 0.05 level of significance. Most of the respondents finished college, were government employees, and were in their twenties. Generally, the chevon products were moderately acceptable to males, with the greatest influencing factors being those related to the health benefits of the chevon products. The least concern of the respondents for its acceptability was the price. Likewise, those with lower income tend to have a higher level of acceptance of the product's appearance compared with those with higher income. The economic and accessibility factors had significant relationships with the acceptability of the chevon products. With the right market value and campaign, the ISU-S&T-based chevon products have the potential to prosper in the market.
      PubDate: Apr 2022
       
 
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