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Research Article Open access CC BY 4.0

Direct and Indirect Effects of Yield Contributing Traits in Rice (Oryza sativa L.)

Thirunahari Goda Laxmi, Gaibriyal M. Lal, Bineeta Michael Bara

International Journal of Plant & Soil Science · pp. 2091–2099 · Published 13 Sep 2023

10.9734/ijpss/2023/v35i193760

Abstract

At the Field Experimentation Centre of the Department of Genetics and Plant Breeding, 20 rice genotypes, including one check variety, were assessed in order to research genetic variability, heritability, genetic progress, correlation, and path coefficient for 13 quantitative features. In Kharif 2022, the experiment was carried out utilising a Randomised Block Design with three replications. Over the NDR 359 (check), BRRI DHAN-75 (26.133) and A.K.DHAN (23.067) demonstrated a greater yield. Number of spikelets per hill, Number of panicles per hill, Biological yield, Number of tillers per hill, Grain yield per hill, Harvest index, Panicle length, Test weight, Days to maturity, and Plant height all had high to moderate estimations of GCV, PCV, and Genetic Advance as Percent Mean. Estimates of heritability ranging from high to moderate, genetic progress for the quantity of spikelets per panicle, biological yield,plant height, and days to 50% blooming. At both the phenotypic and genotypic levels, grain yield showed a strong positive connection with biological yield, the number of spikelets per panicle, and harvest index. Harvest index and biological yield showed both genotypic and phenotypic positive significant direct influences on grain yield per hill. Thus, in the current experimental materials, these qualities are recognised as the effective and prospective for indirect selection for the increase of rice yield.

Rice GCV PCV variability heritability correlation path analysis

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