Evaluation of Rice Research: An Alternate Method to Capture Outcomes

Autor/inn/en	Samal, Parshuram; Mondal, Biswajit; Jambhulkar, Nitiprasad N/; Singh, Onkar N.; Verma, Ramlakhan; Dash, Sushant K.; Das, Anup K.; Pathak, Himanshu
Titel	Evaluation of Rice Research: An Alternate Method to Capture Outcomes
Quelle	In: Research Evaluation, 31 (2022) 1, S.49-60 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0958-2029
DOI	10.1093/reseval/rvab024
Schlagwörter	Foreign Countries; Food; Agriculture; Research; Cost Effectiveness; Computation; Research Methodology; Geographic Regions; Agricultural Production; India + Suchen Sie Ihr Suchwort? Ausland; Lebensmittel; Landwirtschaft; Forschung; Kosten-Nutzen-Analyse; Kosten-Nutzen-Denken; Research method; Forschungsmethode; Agriculture; Production; Produktion; Agrarproduktion; Landwirtschaftliche Produktion; Indien
Abstract	Policy-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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01