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<article>
<title><b>Large scale evaluation, genetic variability and correlation analysis in rice accessions</b></title>
<authors>Indrajeet, S. Kar, R.R. Kanwar, D.P. Singh</authors>
<keywords>Rice, genetic variability, correlation analysis, GCV, PCV</keywords>
<pages>83-91</pages>
<issue_number>8(3) 2024</issue_number>
<issue_period>July  2024 </issue_period>
<abstract>The present study was focused and conducted to evaluate the genetic variability and relationship among 17 yield and yield-related traits in 104 rice genotypes, including 4 standard check varieties, at S.G. College of Agriculture and Research Station, Jagdalpur, Chhattisgarh. The analysis of genetic variability revealed that grain yield per plant exhibited the highest genotypic and phenotypic coefficients of variation. The traits, test weight and grain yield per plant showed the highest heritability and genetic advance as a percentage of the mean, respectively. Correlation analysis indicated that grain yield per plant had a highly significant positive association with test weight, biological yield per plant, number of filled grains per panicle, number of effective tillers per plant, plant height, kernel breadth, panicle length and grain breadth, while it had a significant negatively associated with days to 50% flowering. These yield-related traits could be targeted for selection to enhance the genetic potential for rice yield improvement.</abstract>
</article>
