ATAR SINGH, A K SINGH, S K DUBEY, V P CHAHAL, RANDHIR SINGH, ANUPAM MISHRA, RAJBIR SINGH, B C DEKA, S K SINGH, S S SINGH, LAKHAN SINGH, A K TRIPATHI, Y G PRASAD, ANJANI KUMAR, M J CHANDRA GOWDA, SADHNA PANDEY, RAJEEV SINGH
{"title":"Ensuring productivity advantages through Cluster Frontline Demonstrations (CFLD)-pulses: Nationwide experiences","authors":"ATAR SINGH, A K SINGH, S K DUBEY, V P CHAHAL, RANDHIR SINGH, ANUPAM MISHRA, RAJBIR SINGH, B C DEKA, S K SINGH, S S SINGH, LAKHAN SINGH, A K TRIPATHI, Y G PRASAD, ANJANI KUMAR, M J CHANDRA GOWDA, SADHNA PANDEY, RAJEEV SINGH","doi":"10.56093/ijas.v93i5.103296","DOIUrl":null,"url":null,"abstract":"The present study is the analysis of large scale data (31949 ha area and 79873 farmers) generated through the CFLD on pulses across the major pulses growing states under the ICAR-ATARIs of Kanpur (Uttar Pradesh), Jodhpur (Rajasthan), Pune (Maharashtra), Patna (Bihar), Jabalpur (Madhya Pradesh), Kolkata (West Bengal), Guwahati (Assam), Shillong (Meghalaya), Hyderabad (Andhra Pradesh), Bengaluru (Karnataka) and Patna (Bihar). The pulse crops included in this analysis were from all three growing seasons: kharif (pigeonpea-5556 ha, blackgram-6067 ha, and greengram-2689 ha), rabi (chickpea-8376 ha, lentil-3747 ha and field pea-1890 ha), and summer (greengram-3624 ha). The average performance data of CFLD were obtained for the above states for all the crops representing all three growing seasons during the cropping seasons of 2016–17 and 2017–18. Thus, CFLD data were analyzed fromacross minimum of 21 states (greengram) and maximum of 24 states (blackgram). The major variables analyzed were average yield obtained from the check plots and demonstrations plots. These yields were computed for yield advantages and also compared with the reported district level, state level, national level yields and the potential yields of the respective crops in the given states (data procured from secondary sources for the year 2017–18). Accordingly, the yield advantages (absolute as well as per cent) at various level were analyzed and their degree of variation was computed for all the crops across the seasons. The paper brings out the results of above analyses in objective manner.","PeriodicalId":13499,"journal":{"name":"Indian Journal of Agricultural Sciences","volume":"36 1","pages":"0"},"PeriodicalIF":0.3000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Agricultural Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56093/ijas.v93i5.103296","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The present study is the analysis of large scale data (31949 ha area and 79873 farmers) generated through the CFLD on pulses across the major pulses growing states under the ICAR-ATARIs of Kanpur (Uttar Pradesh), Jodhpur (Rajasthan), Pune (Maharashtra), Patna (Bihar), Jabalpur (Madhya Pradesh), Kolkata (West Bengal), Guwahati (Assam), Shillong (Meghalaya), Hyderabad (Andhra Pradesh), Bengaluru (Karnataka) and Patna (Bihar). The pulse crops included in this analysis were from all three growing seasons: kharif (pigeonpea-5556 ha, blackgram-6067 ha, and greengram-2689 ha), rabi (chickpea-8376 ha, lentil-3747 ha and field pea-1890 ha), and summer (greengram-3624 ha). The average performance data of CFLD were obtained for the above states for all the crops representing all three growing seasons during the cropping seasons of 2016–17 and 2017–18. Thus, CFLD data were analyzed fromacross minimum of 21 states (greengram) and maximum of 24 states (blackgram). The major variables analyzed were average yield obtained from the check plots and demonstrations plots. These yields were computed for yield advantages and also compared with the reported district level, state level, national level yields and the potential yields of the respective crops in the given states (data procured from secondary sources for the year 2017–18). Accordingly, the yield advantages (absolute as well as per cent) at various level were analyzed and their degree of variation was computed for all the crops across the seasons. The paper brings out the results of above analyses in objective manner.
期刊介绍:
The Indian Journal of Agricultural Sciences publishes papers concerned with the advancement of agriculture throughout the world. It publishes original scientific work related to strategic and applied studies in all aspects of agricultural science and exploited species, as well as reviews of scientific topics of current agricultural relevance.
Specific topics of interest include (but are not confined to): genetic resources, all aspects of crop improvement,crop production,crop protection, physiology, modeling of crop systems, the scientific underpinning of agronomy, engineering solutions, decision support systems, land use, environmental impacts of agriculture and forestry, impacts of climate change, rural biodiversity, experimental design and statistical analysis, the application of new analytical and study methods (including molecular studies) and agricultural economics. The journal also publishes book reviews.
Articles are accepted on the following broad disciplines:
Agric. Engineering & Technology, Agric. Social & Economic Sci., Agronomy, Biometry, Biosciences, Cytology, Ecology, Environmental Sciences, Fertilization, Forestry , Genetics, Horticultural Sciences, Microbiology, Pest, Weed Control etc., Molecular Biology, Plant Pathology, Plant Breeding, Physiology and Biochemistry, Soil Sciences, Special Cultivation Technology, Stress Breeding, Agric. extension, and Cell Biology.