Pub Date : 2024-01-27DOI: 10.9734/jeai/2024/v46i12301
Akanksha Nigam, N. Mishra, Pradeep Kumar Yadav
This study explores how mustard growers in the Jaunpur district adopt new technologies, with a particular emphasis on how much improved production technology is adopted thanks to Krishi Vigyan Kendra (KVK) Jaunpur. India's most common occupation, agriculture, has difficulties like decreased crop yields and the requirement for sustainable methods. KVKs, which were founded in 1973, are essential for distributing agricultural innovations and offering vocational training. Purposively undertaken in Jaunpur, the study investigates the socioeconomic aspects that impact the adoption behavior of mustard growers. The assessment of adoption level indicates that 41.66% of participants belong to the medium adoption category, underscoring the necessity of customized interventions. The results provide insight into the dynamics of technology adoption among mustard farmers and highlight the function of KVKs in advancing environmentally friendly farming methods.
{"title":"Influence the Adoption of Improved Production Technology among Mustard Growers in the Jaunpur District, Uttar Pradesh, India","authors":"Akanksha Nigam, N. Mishra, Pradeep Kumar Yadav","doi":"10.9734/jeai/2024/v46i12301","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12301","url":null,"abstract":"This study explores how mustard growers in the Jaunpur district adopt new technologies, with a particular emphasis on how much improved production technology is adopted thanks to Krishi Vigyan Kendra (KVK) Jaunpur. India's most common occupation, agriculture, has difficulties like decreased crop yields and the requirement for sustainable methods. KVKs, which were founded in 1973, are essential for distributing agricultural innovations and offering vocational training. Purposively undertaken in Jaunpur, the study investigates the socioeconomic aspects that impact the adoption behavior of mustard growers. The assessment of adoption level indicates that 41.66% of participants belong to the medium adoption category, underscoring the necessity of customized interventions. The results provide insight into the dynamics of technology adoption among mustard farmers and highlight the function of KVKs in advancing environmentally friendly farming methods.","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":"18 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140492056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-27DOI: 10.9734/jeai/2024/v46i12300
Sunil Kongari, V. Sahi, P. Rahul, Nalla Sandeep
Buckwheat (Fagopyrum spp.) is a major pseudo cereal, the comprehensive exploration of buckwheat genotypes in the semi-tropical climatic region of India, reveals significant genetic variability among the genotypes for a range of biometrical features, underlining the potential for genetic improvement in this crop. Notably, traits such as days to maturity, and economic yield demonstrate substantial genetic potential for enhancement through targeted breeding programs, exhibiting relatively high genetic advancement values, indicating their potential for effective improvement through breeding programs. Disease resistance, as assessed by the percentage disease index (PDI) of chlorotic leaf spot and brown leaf spot, also reveals noteworthy scope for improvement, crucial for sustaining buckwheat cultivation in disease-prone regions. A correlation analysis uncovers intricate relationships between agronomic traits and disease parameters, with the observed positive correlation between plant height (PH) and economic yield (EY) suggesting that taller buckwheat plants may have a slight advantage in terms of yield, and the negative correlation between test weight (TW) and disease severity, both for chlorotic leaf spot (PDI CL) and brown leaf spot (PDI BL), underscores the potential for selecting genotypes with higher test weights as a means to enhance disease resistance. Identification of genotypes with low disease susceptibility offers promising avenues for disease-resistant buckwheat cultivation. Understanding the genetic parameters and disease dynamics presented in this study would be proved invaluable in developing resilient buckwheat varieties, ensuring food security, and promoting sustainable agriculture in the region opening doors to effective disease management strategies and improved crop productivity in buckwheat cultivation.
{"title":"Cultivating Resilience: Disease Resistance Screening of Buckwheat (Fagopyrum spp.) Genotypes in India's Semi-tropical Belt","authors":"Sunil Kongari, V. Sahi, P. Rahul, Nalla Sandeep","doi":"10.9734/jeai/2024/v46i12300","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12300","url":null,"abstract":"Buckwheat (Fagopyrum spp.) is a major pseudo cereal, the comprehensive exploration of buckwheat genotypes in the semi-tropical climatic region of India, reveals significant genetic variability among the genotypes for a range of biometrical features, underlining the potential for genetic improvement in this crop. Notably, traits such as days to maturity, and economic yield demonstrate substantial genetic potential for enhancement through targeted breeding programs, exhibiting relatively high genetic advancement values, indicating their potential for effective improvement through breeding programs. Disease resistance, as assessed by the percentage disease index (PDI) of chlorotic leaf spot and brown leaf spot, also reveals noteworthy scope for improvement, crucial for sustaining buckwheat cultivation in disease-prone regions. A correlation analysis uncovers intricate relationships between agronomic traits and disease parameters, with the observed positive correlation between plant height (PH) and economic yield (EY) suggesting that taller buckwheat plants may have a slight advantage in terms of yield, and the negative correlation between test weight (TW) and disease severity, both for chlorotic leaf spot (PDI CL) and brown leaf spot (PDI BL), underscores the potential for selecting genotypes with higher test weights as a means to enhance disease resistance. Identification of genotypes with low disease susceptibility offers promising avenues for disease-resistant buckwheat cultivation. Understanding the genetic parameters and disease dynamics presented in this study would be proved invaluable in developing resilient buckwheat varieties, ensuring food security, and promoting sustainable agriculture in the region opening doors to effective disease management strategies and improved crop productivity in buckwheat cultivation.","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":"50 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140492784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-24DOI: 10.9734/jeai/2024/v46i12299
J. Konan, Vamara Paterne Fofana, I. J. Fofana, Gilles Léonce Niamketchi, Assiénin Hauverset N’Guessan, Mêgbê Soumahoro
The introduction of Yocoboué-origin material into Group B of the reciprocal recurrent selection (RRS) scheme in Côte d'Ivoire aimed to enhance extraction rates of La Mé material and augment genetic diversity within the group. In this study, 1120 trees from 13 progenies and 3 controls, from the first and second selection cycles, were evaluated for bunch and oil yields in a balanced square lattice design (BSLD) with 4 x 4 and 5 replications. Results indicated that twelve progenies exhibited significantly higher bunch yields, ranging from 23 to 25 t/ha/year, compared to the three controls. Remarkably, industrial oil extraction rates reached up to 27%, resulting in an impressive oil yield capacity of 6.90 t/ha/year. Noteworthy progenitors, including LM13878P, LM13015T, and LM13832T, played a key role in achieving these performances and displayed favorable crossing values with Deli testers. These findings underscore the potential for creating high-performance hybrid seeds and advancing genetic improvement in oil palm. The diverse choices presented by these performances hold promise for the continued enhancement of oil palm cultivation.
{"title":"Improvement the Bunch and Oil Yields of Oil Palm (Elaeis guineensis Jacq.) by Introducing Material of Yocoboué Origin into the Selection Scheme in Côte d'Ivoire","authors":"J. Konan, Vamara Paterne Fofana, I. J. Fofana, Gilles Léonce Niamketchi, Assiénin Hauverset N’Guessan, Mêgbê Soumahoro","doi":"10.9734/jeai/2024/v46i12299","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12299","url":null,"abstract":"The introduction of Yocoboué-origin material into Group B of the reciprocal recurrent selection (RRS) scheme in Côte d'Ivoire aimed to enhance extraction rates of La Mé material and augment genetic diversity within the group. In this study, 1120 trees from 13 progenies and 3 controls, from the first and second selection cycles, were evaluated for bunch and oil yields in a balanced square lattice design (BSLD) with 4 x 4 and 5 replications. Results indicated that twelve progenies exhibited significantly higher bunch yields, ranging from 23 to 25 t/ha/year, compared to the three controls. Remarkably, industrial oil extraction rates reached up to 27%, resulting in an impressive oil yield capacity of 6.90 t/ha/year. Noteworthy progenitors, including LM13878P, LM13015T, and LM13832T, played a key role in achieving these performances and displayed favorable crossing values with Deli testers. These findings underscore the potential for creating high-performance hybrid seeds and advancing genetic improvement in oil palm. The diverse choices presented by these performances hold promise for the continued enhancement of oil palm cultivation.","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":"41 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139599106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-24DOI: 10.9734/jeai/2024/v46i12298
Dhananjay Tiwari, Anil Kumar Singh
In the year 2015-16, a field experimental trial was conducted during the rabi season to assess the impact of various broad spectrum herbicide treatments on weed density and yield in wheat crops. The experiment followed a randomized block design with four replications, and a total of eight treatments were tested. The wheat cultivar DBW-17 was used as the test crop. Results showed that weed density and dry matter accumulation of weeds increased up to 90 days of crop growth, but decreased at 120 days in the weedy check treatment. In contrast, no weeds were recorded in the weed-free plot throughout the crop period. In terms of the wheat crop, the weed-free plot had the highest total dry matter accumulation at all stages (30 DAS-32.62, 60 DAS-278.26, 90 DAS-934.49 and 120 DAS-1276.28 g/m2), number of spikes (303.00/m2), number of grains/spike (51.00), test weight (40.40 g), length of spike (11.12 cm) and grain yield (5.422 t/ha). On the other hand, the weedy check treatment had the lowest total dry matter accumulation at all stages (30 DAS-28.78, 60 DAS-207.24, 90 DAS-679.82 and 120 DAS-932.76 g/m2), number of spikes (208.00/m2), number of grains/spike (42.00), test weight (36.41 g), length of spike (10.31 cm) and grain yield (2.641 t/ha).
{"title":"Results of Weed Density, Yield Attributes, and Yield on Wheat Crop were Influenced by Varying Broad-spectrum Herbicide Treatments in Eastern U.P., India","authors":"Dhananjay Tiwari, Anil Kumar Singh","doi":"10.9734/jeai/2024/v46i12298","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12298","url":null,"abstract":"In the year 2015-16, a field experimental trial was conducted during the rabi season to assess the impact of various broad spectrum herbicide treatments on weed density and yield in wheat crops. The experiment followed a randomized block design with four replications, and a total of eight treatments were tested. The wheat cultivar DBW-17 was used as the test crop. Results showed that weed density and dry matter accumulation of weeds increased up to 90 days of crop growth, but decreased at 120 days in the weedy check treatment. In contrast, no weeds were recorded in the weed-free plot throughout the crop period. In terms of the wheat crop, the weed-free plot had the highest total dry matter accumulation at all stages (30 DAS-32.62, 60 DAS-278.26, 90 DAS-934.49 and 120 DAS-1276.28 g/m2), number of spikes (303.00/m2), number of grains/spike (51.00), test weight (40.40 g), length of spike (11.12 cm) and grain yield (5.422 t/ha). On the other hand, the weedy check treatment had the lowest total dry matter accumulation at all stages (30 DAS-28.78, 60 DAS-207.24, 90 DAS-679.82 and 120 DAS-932.76 g/m2), number of spikes (208.00/m2), number of grains/spike (42.00), test weight (36.41 g), length of spike (10.31 cm) and grain yield (2.641 t/ha).","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":"60 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139601428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-22DOI: 10.9734/jeai/2024/v46i12297
Omkar Sunil Karale, B. K. Gavit, Adarsha Gopalakrishna Bhat, Vinayak Paradkar, Sweety Mukherjee, Anand Gupta
Aims: This study was conducted to examine Land Use Land Cover (LULC) dynamics in Maharashtra’s sub-upper Krishna basin from 2009 to 2019 using remote sensing and geographical information system (GIS), focusing on water bodies, vegetation, soil, settlements, and their changes. Study Design: Employing remote sensing and GIS for LULC mapping (2009-2019) the study used a maximum likelihood classifier in supervised classification, identifying six land use categories: water bodies, open shrubs, forests, agricultural land, settlements, and fallow land. Place and Duration of Study: It was conducted in the sub-upper Krishna basin, Maharashtra, over ten years’ data (2009-2019). Methodology: The study utilised satellite remote sensing and GIS tools for LULC mapping. A supervised classification was applied with a maximum likelihood classifier to categorize land. The changes in water bodies, open shrubs, forests, agricultural land, settlements, and fallow land were analysed using GIS approach. Results: It was seen that, over the decade, fallow land decreased by 3.03%, while agricultural land and settlements grew by 7.32% and 4.3%, respectively. Tree cover increased by 9.85%, water bodies by 0.93%, and open scrubland decreased by 1.77%. Institutional factors, easier water access, and technological and economic factors drove these changes. Conclusion: The study advocates the effective use of satellite remote sensing to monitor LULC changes, identifying key drivers, including institutional and technological factors, contributes to sustainable development planning. The findings aid predictions for future land use changes, supporting effective land management and conservation strategies in the region.
{"title":"Analysing Decadal Land Use Land Cover Dynamics in the Sub-Upper Krishna Basin of Maharashtra, India Using Remote Sensing and GIS","authors":"Omkar Sunil Karale, B. K. Gavit, Adarsha Gopalakrishna Bhat, Vinayak Paradkar, Sweety Mukherjee, Anand Gupta","doi":"10.9734/jeai/2024/v46i12297","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12297","url":null,"abstract":"Aims: This study was conducted to examine Land Use Land Cover (LULC) dynamics in Maharashtra’s sub-upper Krishna basin from 2009 to 2019 using remote sensing and geographical information system (GIS), focusing on water bodies, vegetation, soil, settlements, and their changes. \u0000Study Design: Employing remote sensing and GIS for LULC mapping (2009-2019) the study used a maximum likelihood classifier in supervised classification, identifying six land use categories: water bodies, open shrubs, forests, agricultural land, settlements, and fallow land. \u0000Place and Duration of Study: It was conducted in the sub-upper Krishna basin, Maharashtra, over ten years’ data (2009-2019). \u0000Methodology: The study utilised satellite remote sensing and GIS tools for LULC mapping. A supervised classification was applied with a maximum likelihood classifier to categorize land. The changes in water bodies, open shrubs, forests, agricultural land, settlements, and fallow land were analysed using GIS approach. \u0000Results: It was seen that, over the decade, fallow land decreased by 3.03%, while agricultural land and settlements grew by 7.32% and 4.3%, respectively. Tree cover increased by 9.85%, water bodies by 0.93%, and open scrubland decreased by 1.77%. Institutional factors, easier water access, and technological and economic factors drove these changes. \u0000Conclusion: The study advocates the effective use of satellite remote sensing to monitor LULC changes, identifying key drivers, including institutional and technological factors, contributes to sustainable development planning. The findings aid predictions for future land use changes, supporting effective land management and conservation strategies in the region.","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":"33 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139608986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-22DOI: 10.9734/jeai/2024/v46i12296
S. Bhalawe, D. Nayak, A. S. Lodhi, R. K. Thakur, S. K. Rai, A. Shrivastava
Soil dynamics for carbon build-up vary across different land use systems. Understanding the soil dynamics and land use system management practices that contribute to carbon build-up is essential for designing effective carbon sequestration strategies. In a recent study, fifteen different land use systems were examined, including agriculture land-use systems, tree plantation land-use systems, and agroforestry land-use systems. The study assessed the potential of these land use systems to store carbon based on the extent of tree components. Various physical and chemical characteristics of the soil and their impact on soil carbon conservation were also investigated. The results showed that as the number of tree components increased, the soil pH and bulk density decreased from 6.10 to 5.55, and 1.48 to 1.33g/cm3. The available soil nitrogen was significantly higher in tree plantation land-use systems than in agriculture land use systems while soil moisture was higher in the latter. Tree components increase soil carbon build-up and agroforestry land use systems fulfill the requirement for human and environmental balance.
{"title":"Soil Dynamics for Carbon Buildup in Different Land Use Systems in the South Region of Gujarat, India","authors":"S. Bhalawe, D. Nayak, A. S. Lodhi, R. K. Thakur, S. K. Rai, A. Shrivastava","doi":"10.9734/jeai/2024/v46i12296","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12296","url":null,"abstract":"Soil dynamics for carbon build-up vary across different land use systems. Understanding the soil dynamics and land use system management practices that contribute to carbon build-up is essential for designing effective carbon sequestration strategies. In a recent study, fifteen different land use systems were examined, including agriculture land-use systems, tree plantation land-use systems, and agroforestry land-use systems. The study assessed the potential of these land use systems to store carbon based on the extent of tree components. Various physical and chemical characteristics of the soil and their impact on soil carbon conservation were also investigated. The results showed that as the number of tree components increased, the soil pH and bulk density decreased from 6.10 to 5.55, and 1.48 to 1.33g/cm3. The available soil nitrogen was significantly higher in tree plantation land-use systems than in agriculture land use systems while soil moisture was higher in the latter. Tree components increase soil carbon build-up and agroforestry land use systems fulfill the requirement for human and environmental balance.","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":"20 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139609147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-22DOI: 10.9734/jeai/2024/v46i12295
T. Elenchezhian, S. Senthilnathan, T. Rajendran, V. Kalirajan, P. Jeyalakshmi, N. Kiruthika, M. Prahadeeswaran, R. Parimalarangan, V. Karthick
The core objective of the study is to analyze the performance of sugarcane in terms of cost and returns and resource use efficiency. A sample of 30 Sugarcane growing farmers purposively selected at random from the Vazhavachannur and Perunduraipattu villages of Thandrampattu block of Tiruvannamalai District. Since all the sugarcane farmers use the same cultivation practices, 30 sample farmers are sufficient to represent the entire sugarcane farmers of the study area. Tools like simple average and percentage analyses were used to examine cost of cultivation, labour hours used, quantity of materials used and machine hours used by farmers in each crop production. Regression analysis was employed to measure the influence of selected explanatory variables on independent variables. Result showed that joint family constitutes about 33.00 percent and nuclear family was 67 of the total sample households. Average size of holding is 3.28 acre. Total cost of cultivation for groundnut is Rs.59376.64/acre. Gross income from groundnut is Rs.140962.50/acre. Benefit Cost Ratio (BCR) of groundnut cultivation is 2.37. All the sample farmers wholly depend on the sugarcane cooperatives for selling their produce. The human labors were used for Inter cultural operation, sowing & transplanting, chemicals, fertilizer and Farm Yard Manure (FYM). FYM, chemicals, fertilizer and seed are the major inputs used in crop production. Bund Former and Rotavator is the machines used for crop production. About 89.00 percent of variation in dependent variables explained by the selected independent variables such as quantity of chemicals and labor hours for inter cultural operation.
{"title":"Performance of Sugarcane Cultivation in Thiuvannamalai District of Tamil Nadu, India - A Socio-economic Analysis","authors":"T. Elenchezhian, S. Senthilnathan, T. Rajendran, V. Kalirajan, P. Jeyalakshmi, N. Kiruthika, M. Prahadeeswaran, R. Parimalarangan, V. Karthick","doi":"10.9734/jeai/2024/v46i12295","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12295","url":null,"abstract":"The core objective of the study is to analyze the performance of sugarcane in terms of cost and returns and resource use efficiency. A sample of 30 Sugarcane growing farmers purposively selected at random from the Vazhavachannur and Perunduraipattu villages of Thandrampattu block of Tiruvannamalai District. Since all the sugarcane farmers use the same cultivation practices, 30 sample farmers are sufficient to represent the entire sugarcane farmers of the study area. Tools like simple average and percentage analyses were used to examine cost of cultivation, labour hours used, quantity of materials used and machine hours used by farmers in each crop production. Regression analysis was employed to measure the influence of selected explanatory variables on independent variables. Result showed that joint family constitutes about 33.00 percent and nuclear family was 67 of the total sample households. Average size of holding is 3.28 acre. Total cost of cultivation for groundnut is Rs.59376.64/acre. Gross income from groundnut is Rs.140962.50/acre. Benefit Cost Ratio (BCR) of groundnut cultivation is 2.37. All the sample farmers wholly depend on the sugarcane cooperatives for selling their produce. The human labors were used for Inter cultural operation, sowing & transplanting, chemicals, fertilizer and Farm Yard Manure (FYM). FYM, chemicals, fertilizer and seed are the major inputs used in crop production. Bund Former and Rotavator is the machines used for crop production. About 89.00 percent of variation in dependent variables explained by the selected independent variables such as quantity of chemicals and labor hours for inter cultural operation.","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":"34 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139607417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-20DOI: 10.9734/jeai/2024/v46i12293
Pawan K. Gautam, S. Jha
Poor health tends to be critical for marginal and small farmers who work in their own field and cannot afford to hire an alternative farmer during the time of illness. The research was conducted to assess the health and infrastructural status of farm households. The present study purposefully conducted in Bundelkhand.From each selected village a list of dairy farmers based on land holding was prepared and respondents were selected based on proportionate stratified random sampling method. Data were gathered through personal interview method with the help of the structured interview schedule. The collected data were quantified and analyzed. After data collection, the results were analyzed by using some statistical tools like percentage analysis, correlation and regression. Results revealed that among the marginal farmers the majority (59.26%) of the respondents had low health security, followed by medium and high health security i.e. 32.10 and 8.64 percent respectively. The variables such as annual income and milk production had positive and highly significant relationship with health security at the 1 percent level of significance. This shows that as the value of the annual income and milk production increases the health security of the respondents also increases. The results showed that 58.20 percent variability towards infrastructural security was due to explained or undertaken variables included in the study and the remaining was due to some other factors. The fitted regression model was observed to be significant at the 1 percent level of significance. It can be concluded that there is a need to stress upon improving their overall health and infrastructural security.
{"title":"Health and Infrastructural Security of Rural Households for Sustainable Livelihood: A Study in Bundelkhand Region of India","authors":"Pawan K. Gautam, S. Jha","doi":"10.9734/jeai/2024/v46i12293","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12293","url":null,"abstract":"Poor health tends to be critical for marginal and small farmers who work in their own field and cannot afford to hire an alternative farmer during the time of illness. The research was conducted to assess the health and infrastructural status of farm households. The present study purposefully conducted in Bundelkhand.From each selected village a list of dairy farmers based on land holding was prepared and respondents were selected based on proportionate stratified random sampling method. Data were gathered through personal interview method with the help of the structured interview schedule. The collected data were quantified and analyzed. After data collection, the results were analyzed by using some statistical tools like percentage analysis, correlation and regression. Results revealed that among the marginal farmers the majority (59.26%) of the respondents had low health security, followed by medium and high health security i.e. 32.10 and 8.64 percent respectively. The variables such as annual income and milk production had positive and highly significant relationship with health security at the 1 percent level of significance. This shows that as the value of the annual income and milk production increases the health security of the respondents also increases. The results showed that 58.20 percent variability towards infrastructural security was due to explained or undertaken variables included in the study and the remaining was due to some other factors. The fitted regression model was observed to be significant at the 1 percent level of significance. It can be concluded that there is a need to stress upon improving their overall health and infrastructural security.","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139524723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-17DOI: 10.9734/jeai/2024/v46i12290
C. Vairavan, B. M. Kamble, A. G. Durgude, Snehal R. Ingle, K. Pugazenthi
The remote sensing is one of the precision technologies, can be used to monitor and assess the target area or object such as soil, crop, and water. Hyperspectral imaging (HSI), also known as imaging spectrometry or hyperspectral remote sensing, is a combined technique of spectroscopy and imaging system for sensing spectral information of an area or object. It involves capturing images of an object using multiple distinct optical bands that cover a wide range of the electromagnetic spectrum (350-2500 nm). The hyperspectral bands are continuous, narrow, and contagious and contain hundreds and thousands of numbers. Hyperspectral remote sensing is particularly valuable for gathering precise and up-to-date information necessary for agricultural planning and precision farming. HSI technology is the employment of hyperspectral sensors aids in analyzing soil physical (bulk density, texture, water content), chemical (pH, EC, SOC, and macro and micro nutrients), biological (SOM) properties and helps to categorize different crop varieties, identify pests and diseases, and assess crop yield and water stress in plants. The spectral reflectance of soil is affected by its properties such as mineral composition (Fe oxides), organic matter, soil moisture, and texture. For example, the spectral reflectance will be more if soil has less organic matter. The chemical bonds of soil molecules interact with the electromagnetic spectrum, and produce distinct pattern of reflectance. But the data collected from hyperspectral imaging are required big storage due to its large amount of data and finding the most appropriate hyperspectral image classification algorithm is a challenging task. So, these problems should be solved in future and national soil spectral library is needed for calibration of models which helps for efficient use of hyperspectral imaging technology.
{"title":"Hyperspectral Imaging of Soil and Crop: A Review","authors":"C. Vairavan, B. M. Kamble, A. G. Durgude, Snehal R. Ingle, K. Pugazenthi","doi":"10.9734/jeai/2024/v46i12290","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12290","url":null,"abstract":"The remote sensing is one of the precision technologies, can be used to monitor and assess the target area or object such as soil, crop, and water. Hyperspectral imaging (HSI), also known as imaging spectrometry or hyperspectral remote sensing, is a combined technique of spectroscopy and imaging system for sensing spectral information of an area or object. It involves capturing images of an object using multiple distinct optical bands that cover a wide range of the electromagnetic spectrum (350-2500 nm). The hyperspectral bands are continuous, narrow, and contagious and contain hundreds and thousands of numbers. Hyperspectral remote sensing is particularly valuable for gathering precise and up-to-date information necessary for agricultural planning and precision farming. HSI technology is the employment of hyperspectral sensors aids in analyzing soil physical (bulk density, texture, water content), chemical (pH, EC, SOC, and macro and micro nutrients), biological (SOM) properties and helps to categorize different crop varieties, identify pests and diseases, and assess crop yield and water stress in plants. The spectral reflectance of soil is affected by its properties such as mineral composition (Fe oxides), organic matter, soil moisture, and texture. For example, the spectral reflectance will be more if soil has less organic matter. The chemical bonds of soil molecules interact with the electromagnetic spectrum, and produce distinct pattern of reflectance. But the data collected from hyperspectral imaging are required big storage due to its large amount of data and finding the most appropriate hyperspectral image classification algorithm is a challenging task. So, these problems should be solved in future and national soil spectral library is needed for calibration of models which helps for efficient use of hyperspectral imaging technology.","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":" 499","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139617933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-16DOI: 10.9734/jeai/2024/v46i12288
Namrata Diwedi, Sudhakar Singh, Deepak Pandey, P. K. Singh, S. S. Chanda, H. Tiwari, D. K. Singh, Gajendra Singh
The present investigation was carried out in kharif season 2022-23 at Agronomy Research Farm of Chandra Bhanu Gupta Krishi Snatakottar Mahavidyalaya, Bakshi ka Talab, Lucknow (U.P). The 8 treatments comprised of T1- RDF(IF), T2- 100% RDF+25 kg ha-1 ZnSO4 (B), T3-100% RDF+2 foliar spray of ZnSO4, T4- RDF+50 kg ha-1 FeSO4 (B),T5-100% RDF+ZnSO4 25 kg ha-1 (B) + FeSO4 @ 50 kg ha-1 (B), T6- 75% RDF (IF)+25% RDN (FYM), T7- 50% RDF (IF)+50% RDN (FYM),T8-100% RDF through FYM were laid out in Randomized Block Design (RBD). The soil was silty-loam texture with slightly alkaline pH 8.1, organic carbon 0.70 %, available nitrogen 270.00 kg ha-1, available phosphorus 27.0 kg ha-1, and available potash 262.0 kg ha-1 during 2022-2023. The values of growth contributing characters viz., plant height (cm), number of tillers per m2 (439.73), dry matter accumulation (g m -2 ) (829.62), at harvest and significantly highest (6.33) leaf area index (LAI) was recorded under 100% RDF + 2 foliar spray of ZnSO4 and yield attributes and yield like number of effective tillers per m-2 (200.66), panicles weight (g)(4.51), length of panicle (cm) (28.33), number of grains panicle-1 (175.33), test weight (g) (29.10), grain yield (47.85), straw yield (q ha-1 ) (64.75) of rice were significantly higher under T3- 100% RDF + 2 foliar spray of ZnSO4 compared to other treatment. The nitrogen content (%), and its uptake (kg ha-1), and protein content (%), and its production (kg ha-1) in grain and straw was significantly higher under T3-100% RDF + 2 foliar spray of ZnSO4. The Fe and Zn content (mg kg-1) and its uptake (kg ha-1) in grain and straw was higher under T3-100% RDF + 2 foliar spray of ZnSO4. Economics analysis viz gross return (123514), net return (84107) and benefit cost ratio (2.13) was recorded highest with T3-100% RDF + 2 foliar spray of ZnSO4 while lowest with T8- 100% RDF through FYM. Thus for obtaining better yield and profit apply T3-100% RDF + 2 foliar spray of ZnSO4.
{"title":"The Effect of Integrated Nutrient Management on Growth, Yield Attributes and Yield of Transplanted Rice under Irrigated Condition (Oryza sativa L.)","authors":"Namrata Diwedi, Sudhakar Singh, Deepak Pandey, P. K. Singh, S. S. Chanda, H. Tiwari, D. K. Singh, Gajendra Singh","doi":"10.9734/jeai/2024/v46i12288","DOIUrl":"https://doi.org/10.9734/jeai/2024/v46i12288","url":null,"abstract":"The present investigation was carried out in kharif season 2022-23 at Agronomy Research Farm of Chandra Bhanu Gupta Krishi Snatakottar Mahavidyalaya, Bakshi ka Talab, Lucknow (U.P). The 8 treatments comprised of T1- RDF(IF), T2- 100% RDF+25 kg ha-1 ZnSO4 (B), T3-100% RDF+2 foliar spray of ZnSO4, T4- RDF+50 kg ha-1 FeSO4 (B),T5-100% RDF+ZnSO4 25 kg ha-1 (B) + FeSO4 @ 50 kg ha-1 (B), T6- 75% RDF (IF)+25% RDN (FYM), T7- 50% RDF (IF)+50% RDN (FYM),T8-100% RDF through FYM were laid out in Randomized Block Design (RBD). The soil was silty-loam texture with slightly alkaline pH 8.1, organic carbon 0.70 %, available nitrogen 270.00 kg ha-1, available phosphorus 27.0 kg ha-1, and available potash 262.0 kg ha-1 during 2022-2023. The values of growth contributing characters viz., plant height (cm), number of tillers per m2 (439.73), dry matter accumulation (g m -2 ) (829.62), at harvest and significantly highest (6.33) leaf area index (LAI) was recorded under 100% RDF + 2 foliar spray of ZnSO4 and yield attributes and yield like number of effective tillers per m-2 (200.66), panicles weight (g)(4.51), length of panicle (cm) (28.33), number of grains panicle-1 (175.33), test weight (g) (29.10), grain yield (47.85), straw yield (q ha-1 ) (64.75) of rice were significantly higher under T3- 100% RDF + 2 foliar spray of ZnSO4 compared to other treatment. The nitrogen content (%), and its uptake (kg ha-1), and protein content (%), and its production (kg ha-1) in grain and straw was significantly higher under T3-100% RDF + 2 foliar spray of ZnSO4. The Fe and Zn content (mg kg-1) and its uptake (kg ha-1) in grain and straw was higher under T3-100% RDF + 2 foliar spray of ZnSO4. Economics analysis viz gross return (123514), net return (84107) and benefit cost ratio (2.13) was recorded highest with T3-100% RDF + 2 foliar spray of ZnSO4 while lowest with T8- 100% RDF through FYM. Thus for obtaining better yield and profit apply T3-100% RDF + 2 foliar spray of ZnSO4.","PeriodicalId":477440,"journal":{"name":"Journal of experimental agriculture international","volume":" 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139619514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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