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        <dc:title>Quantification of Yield Gaps in Rain-fed Rice, Wheat,&#13;
Cotton and Mustard in India: Global Theme on Agroecosystems   Report no. 43&#13;
</dc:title>
        <dc:creator>Agrawal, P K</dc:creator>
        <dc:creator>Hebbar, K B</dc:creator>
        <dc:creator>Venugopalan, M V</dc:creator>
        <dc:creator>Rani, S</dc:creator>
        <dc:creator>Bala, A</dc:creator>
        <dc:creator>Biswal, A</dc:creator>
        <dc:creator>Wani, S P</dc:creator>
        <dc:subject>Wheat</dc:subject>
        <dc:subject>Agriculture-Farming, Production, Technology, Economics</dc:subject>
        <dc:description>In order to meet increasing demands of food due to rising population and income, food production in India and&#13;
other south Asian countries need to be increased. Rain-fed agriculture in India, practiced on 94 million hectares&#13;
(M ha), is considered a major source of production increase in future. This report analyses the magnitude of&#13;
rain-fed potential yield gaps of rice, wheat, mustard and cotton crops, considering the spatial and temporal&#13;
variation in climatic features. These yields can be interpreted as the upper limit that can be achieved by the&#13;
current varieties in a rain-fed scenario with soil and weather as the only yield reducing factors. InfoCrop, a&#13;
generic dynamic crop simulation model with sensitivity to variety, agronomic management, soil, weather,&#13;
flooding, frost and pests and calibrated and validated in typical rain-fed and irrigated cultivating areas of&#13;
these crops was used for quantification of rain-fed potential yields in different regions. Yields in technology&#13;
maximization experiments (Plant Breeder’s fields) and on-farm technology demonstration plots (Front-line&#13;
demonstrations) have also been used as additional measures of potential yield. Yield gaps were calculated as&#13;
the difference between these yield levels and the region’s average measured yields. The results showed that&#13;
irrespective of the definition of potential yield, there was considerable yield gap across all states in all crops&#13;
indicating large scope for increasing rain-fed yields in future. On an average, the gap relative to simulated&#13;
rain-fed potential yields was 2560 kg ha-1 for rice, 1120 kg ha-1 for cotton and 860 kg ha-1 for mustard. Such&#13;
national average rain-fed yield gaps could not be estimated in wheat because of large percent of irrigated area in&#13;
all states. The mean yield gap based on the average of simulated, experimental and on-farm rain-fed potential&#13;
yields was 1670 kg ha-1 for rice, 770 kg ha-1 for cotton, 460 kg ha-1 for mustard and 70 kg ha-1 for wheat. It&#13;
remains to be quantified if these biophysical estimates of yield gaps can be bridged economically.&#13;
</dc:description>
        <dc:publisher>International Crops Research Institute for the Semi-Arid Tropics </dc:publisher>
        <dc:date>2008</dc:date>
        <dc:type>Monograph</dc:type>
        <dc:type>NonPeerReviewed</dc:type>
        <dc:format>application/pdf</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/2335/1/120_2008_GTAE43_quantification.pdf</dc:identifier>
        <dc:identifier>  Agrawal, P K and Hebbar, K B and Venugopalan, M V and Rani, S and Bala, A and Biswal, A and Wani, S P  (2008) Quantification of Yield Gaps in Rain-fed Rice, Wheat, Cotton and Mustard in India: Global Theme on Agroecosystems Report no. 43.  Monograph. International Crops Research Institute for the Semi-Arid Tropics , Patancheru, Andhra Pradesh, India.     </dc:identifier></oai_dc:dc>
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