Correlation and path coefficient analysis of rice genotypes for their yield components under drought condition

Abstract

During Kharif 2016, 56 rice genotypes were screened phenotypically to study genetic variability and evaluated with the main aim to analyse yield component in rice under drought condition. All the experiments were laid out in an alpha lattice design and consisted of three replications under two different hydrological conditions viz., non-stress (favourable or irrigated as per needed) & stress under rainfed condition. Data were recorded on days to fifty percent flowering, plant height (cm), harvest index (%), biological yield (gm), plot yield, panicle number, 1000 seed weight (gm), seed fertility (%), culm height (cm), panicle length (cm), filled grains per panicle, chaffy grains per panicle: economic yield (gm) leaf rolling, drought Score. These data were analyzed for analysis of variance, mean performance of genotypes, coefficient of variability, heritability in broad sense, genetic advance in percent of mean, correlation coefficient, path analysis and genetic divergence. Experimental results discovered that Disang, Apo, ARC-10985, Kaliaus, Dikhow, NLR33671, NLR3083, NLR3217 and Ranjith varieties are being recommended for its cultivation in drought prone environment release and/or may be used in marker assisted breeding.