National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
The need to quantify genetic purity in a larger area with real-time population is significant to know, cross verify the genetic purity declared in the grow-out test and its subsequent validity with results of the molecular test. This will give us the genetic purity confidence level in crops like pigeon pea since; it is often cross-pollinated with 5-70 per cent natural cross-pollination. This will, however, depend on pollinators, location and environmental factors. Because of nature often cross-pollination some off types may arise in the broader area and population even though the genetic purity declared during the grow-out test is well within the minimum standards. To quantify genetic purity in a larger area with real time population, ‘Genetic Purity Confidence Level’ (GPCL) based on the statistical regression was developed to understand the data in more extensive area and with a larger population. A seed grower (Mr. Veerashekhar Swamy) in Marched Village, Raichur Taluk and District was selected for the quantification of GPCL for popular variety TS3R. There were no methods reported earlier to know GPCL in field condition, so a this regression model was developed for the variety TS3R can be used at field level.
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