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Research and Reviews : Journal of Crop science and Technology

Correlation and Variability among Yield and Yield Attributes of Advance Rice Genotypes in Rain Fed Condition

  1. N. Neupane
  2. A. Poudel
  3. P. Gaire
  4. A. Parajuli

Abstract

AbstractThe present research consists of 12 rice (Oryza sativa L.) genotypes and the experiment was conducted during June–November, 2017 in randomized block design with the three replications at NARC, Kumaltar. The data were recorded for ten quantitative characters to study genetic variability, heritability, genetic advance and correlation coefficient analysis. Analysis of variance among 12 genotypes showed significant difference for all characters studied except non-effective tiller. Grain yield had positive significant correlation with SPAD and positive correlation with 1000 grain weight, flag leaf area, days of 50% flowering, plant height, number of effective tiller and panicle length and negative significant correlation with number of non-effective tiller and negative correlation with days of 90% maturity. Moderate genotypic coefficient of variation (GCV) and phenotypic coefficient variation (PCV) was observed for flag leaf area and followed by grain yield and number of effective tiller, that these characters could be used as selection for crop improvement. High estimates of heritability were observed for days of 50% flowering and followed by panicle length, flag leaf area, test weight and days of 90% maturity. High genetic advance were found in number of non-effective tiller, grain yield per meter square, number of effective tiller and flag leaf area indicating pre-dominance of additive gene effects and possibilities of effective selection for the improvement of these characters.Keywords: Correlation, genetic advance, genetic variability, heritability, riceCite this ArticleN. Neupane, A. Poudel, P. Gaire et al. Correlation and Variability among Yield and Yield Attributes of Advance Rice Genotypes in Rain Fed Condition. Research & Reviews: Journal of Crop Science and Technology. 2018; 7(1): 27–34p.

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