Genetic Variability Studies for Yield and its Attributing Traits in Rice F4 Mapping Population (Oryza sativa L.)
Niharika G.
Department of Genetics and Plant Breeding, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad (Telangana), India.
Kalyani M. B. *
Division of Agricultural Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad (Telangana), India.
Hemalatha V.
Department of Genetics and Plant Breeding, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad (Telangana), India.
Sanjeeva Rao D.
Division of Plant Biochemistry, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad (Telangana), India.
*Author to whom correspondence should be addressed.
Abstract
An experiment was conducted at ICAR-IIRR during the wet season of 2023 in a mapping population derived from the cross TI-128 X BPT-5204, along with five checks in an augmented block design with eight blocks. This study revealed that, significant variability was present among the population for all the traits examined. High genotypic coefficient of variation was observed for number of tillers per plant (29.68), number of productive tillers per plant (30.56) and total number of grains per panicle (29.66). High phenotypic coefficient of variation and genotypic coefficient of variation was observed for the trait grain yield per plant. High heritability coupled with high genetic advance as percent of mean was recorded for number of tillers per plant, number of productive tillers per plant, total number of grains per panicle and grain yield per plant showing that these traits are regulated by additive gene effects, making them suitable for selection criteria in rice breeding programs. The traits viz., number of tillers per plant (0.42***), number of productive tillers per plant (0.41***), filled grains per panicle (0.20**), total number of grains per panicle (0.18**) and test weight (0.18**) exhibited significantly positive association with grain yield per plant.
Keywords: Genetic variability, genotypic coefficient, high heritability