Genetic variability and trait association in Jhum Rice of Arunachal Pradesh, India

Authors

  • Letngam Touthang Division of Crop Science, ICAR Research Complex for North Eastern Hill Region, Umiam, Meghalaya, India
  • Homeswar Kalita ICAR Research Complex for North Eastern Hill Region, Arunachal Pradesh Centre, Basar, Leparada District, Arunachal Pradesh, India
  • Badapmain Makdoh Division of Crop Science, ICAR Research Complex for North Eastern Hill Region, Umiam, Meghalaya, India
  • Thejangulie Angami ICAR Research Complex for North Eastern Hill Region, Arunachal Pradesh Centre, Basar, Leparada District, Arunachal Pradesh, India
  • Raghuveer Singh ICAR Research Complex for North Eastern Hill Region, Arunachal Pradesh Centre, Basar, Leparada District, Arunachal Pradesh, India
  • Amit Kumar Division of Crop Science, ICAR Research Complex for North Eastern Hill Region, Umiam, Meghalaya, India
  • Philanim Shimrey Division of Crop Science, ICAR Research Complex for North Eastern Hill Region, Umiam, Meghalaya, India
  • Bijoya Bhattarcharjee Division of Crop Science, ICAR Research Complex for North Eastern Hill Region, Umiam, Meghalaya, India
  • Ampee Tasung ICAR Research Complex for North Eastern Hill Region, Arunachal Pradesh Centre, Basar, Leparada District, Arunachal Pradesh, India
  • Rita Nongthombam Krishi Vigyan Kendra, West Siang, Arunachal Pradesh, Basar, India
  • Kangabam Suraj Singh Krishi Vigyan Kendra, West Siang, Arunachal Pradesh, Basar, India
  • Sandeep Jaiswal Division of Crop Science, ICAR Research Complex for North Eastern Hill Region, Umiam, Meghalaya, India
  • Rajesh Khan ICAR Research Complex for North Eastern Hill Region, Arunachal Pradesh Centre, Basar, Leparada District, Arunachal Pradesh, India

DOI:

https://doi.org/10.31783/elsr.2023.91135148

Keywords:

correlation, genetic variation, heritability, Jhum rice, path coefficient

Abstract

The study comprised of 19 jhum rice landraces from different parts of Arunachal Pradesh. The analysis of variance based on 14 quantitative traits revealed significant traits-wise variations across the genotypes. Based on cluster analysis the landraces were grouped into 3 distinct clusters. Principal component analysis (PCA) extracted 5 principal components (Eigen value >1) with 80.5 % of the total variance. About 60.4% of the cumulative variance was exhibited by the first three principal components. Traits like grain yield (GY), plant height (PH), primary branch per panicle (PBP), filled grain per panicle (FGP), test grain weight (TGW) and grain morphology exhibit heavy positive loadings in these first PCs. The value of the phenotypic coefficient of variation (PCV) was higher than the corresponding genotypic coefficient of variation (GCV) for most of the traits. The traits exhibits moderate to high PCV, GCV, heritability and genetic advance as a percent of the mean (GAM). High heritability couple with high GAM was exhibited by GY, TGW and PH. While moderate heritability with (GAM) was exhibited by panicle length (PnL), FGP and PBP. Except ligule length (LgL) and flag leaf width (FLW), all the traits displayed positive associations with GY. A high positive significant correlation (P≤ 0.01) was exhibited by grain width (0.716) and TGW (0.583). Path coefficient analysis revealed direct positive effects on GY by girth diameter (GD), flag leaf length (FLL), blade leaf width (BLW), filled grain number per panicle (FGP), TGW, and grain length (GL).

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2023-05-10

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Genetic variability and trait association in Jhum Rice of Arunachal Pradesh, India. (2023). Emergent Life Sciences Research, 135-148. https://doi.org/10.31783/elsr.2023.91135148