Assessment of ecosystem services of rice farms in eastern India

Authors acknowledge the financial help provided by Ministry of Earth Sciences, Govt. of India and also thank Director General, Indian Council of Agricultural Research (ICAR) and Director, ICAR-National Rice Research Institute (NRRI) for giving all the necessary help in executing the work. The help provided by Odisha state officials in carrying out the survey work is gratefully acknowledged. This study is a part of the project entitled “Delivering food security on limited land (DEVIL; Belmont Forum / FACCE-JPI via NERC: NE/M021327/1).Peer reviewedPublisher PD

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Not AvailablePre-breeding includes basic research to achieve wide crosses and facilitate the use of exotic materials or wild relatives for both qualitative and quantitative traits. The main objective is to provide breeders with more ‘attractive’ PGR that are easier to use, i.e. resistance sources in acceptable genetic background; or inbreeding tolerant forms of out crossing species for hybrid breeding. Forty seven pre-breeding lines were evaluated against Brown Plant Hopper under glasshouse condition over a period of two years (2018 and 2019). Out of these, two pre-breeding lines were moderately resistant to BPH having score 3. Two pre-breeding lines were moderately susceptible to BPH having score 5, five lines were susceptible having score 7 and rest thirty nine pre-breeding lines were highly susceptible to BPH with a score of 9.Not Availabl

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Not AvailablePolicy-makers, research managers, and donors are interested in knowing the outputs, outcomes, and impacts of investment in agricultural research. Several institutions are engaged in rice research and impact assessment of rice research requires area coverage information for rice varieties. The area coverage information for individual varieties is not available at the national level in many developing countries as the conventional household survey method is expensive and time-consuming. This article aims to find a cost-effective and quick method to estimate the area under popular rice varieties in India and their spread in different states. Secondary data collected from 27 states and 1 union territory of India were used to estimate the area. The results of the new method compared well with some of the studies conducted at the state level. The most important varieties identified using the new method were Swarna, Cottondora Sannalu, Samba Mahsuri, Vijetha, IR-64, and Ranjeet, which covered more than 1 million ha each in the country. On geographical coverage, IR-64 has spread to 17 states followed by Swarna, Cottondora Sannalu, Samba Mahsuri, Vijetha, IR-36, and Swarna Sub-1 which covered 14, 14, 12, 11, 11, and 10 states, respectively. The area information can be used to compute returns to rice research by different research institutions and study dynamics of varietal change over time. The popular varieties identified should be used in future breeding programs and biotechnological studies for the development of superior varieties.Not Availabl

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Not AvailableICAR-National Rice Research Institute (NRRI), Cuttack, India had taken up two tiny villages namely Gurujanga & Guali in Odisha state for developing as model villages and dissemination of improved rice production technologies. Adoption of few land mark rice varieties developed by ICAR-NRRI, Cuttack resulted huge yield advantage over varieties grown earlier. Non-farm income and labour force participation rate were key factors together with other improved traits for adoption of varieties and technologies. However, un-matching convergence, recurrent drought, low liquidity due to lack of financial inclusions, etc. were major impediments for reaping the benefits of technology transfer through model village programmes.Not Availabl

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Not AvailablePolicy-makers, research managers, and donors are interested in knowing the outputs, outcomes, and impacts of investment in agricultural research. Several institutions are engaged in rice research and impact assessment of rice research requires area coverage information for rice varieties. The area coverage information for individual varieties is not available at the national level in many developing countries as the conventional household survey method is expensive and time consuming. This article aims to find a cost-effective and quick method to estimate the area under popular rice varieties in India and their spread in different states. Secondary data collected from 27 states and 1 union territory of India were used to estimate the area. The results of the new method compared well with some of the studies conducted at the state level. The most important varieties identified using the new method were Swarna, Cottondora Sannalu, Samba Mahsuri, Vijetha, IR-64, and Ranjeet, which covered more than 1 million ha each in the country. On geographical coverage, IR-64 has spread to 17 states followed by Swarna, Cottondora Sannalu, Samba Mahsuri, Vijetha, IR-36, and Swarna Sub-1 which covered 14, 14, 12, 11, 11, and 10 states, respectively. The area information can be used to compute returns to rice research by different research institutions and study dynamics of varietal change over time. The popular varieties identified should be used in future breeding programs and biotechnological studies for the development of superior varieties.Not Availabl

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