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Research Article Open access CC BY 4.0

Direct and Indirect Effects of Yield Contributing Characters on Grain Yield in Rice (Oryza sativa L.)

Kantam Manoj Pushkarnath, Ambati Janardhan Reddy, Gaibriyal M. Lal, G. R. Lavanya

International Journal of Plant & Soil Science · pp. 769–778 · Published 27 Jul 2022

10.9734/ijpss/2022/v34i2131331

Abstract

The present study consists of 23 rice genotypes including one check variety were evaluated at Field Experimentation Centre of the Department of Genetics and Plant Breeding, Direct and indirect effects of yield contributing characters on grain yield in Rice (Oryza sativa L.) for 13 quantitative characters. The experiment was conducted by using Randomized Block Design with three replications during Kharif, 2021. MTU-1224 (54.85gm) to be high yielding followed by, RNR-1446 (41.4gm), SHIVA 555 (39.267gm), MTU-1121 (39.2gm), MTU-1272 (38gm) showed higher yield over the NDR359 (check). High to moderate estimates of GCV and PCV were recorded for Number of tillers/hill followed by Grain yield per hill, Test weight, Number of spikelet’s/hill, Biological yield, Harvest index, Number of panicles/hill, Flag leaf width, Flag leaf length and Plant height. Grain yield indicated significant positive correlation with Harvest index followed by Number of panicles/hill, Number of tillers/hill, Number of spikelet’s/Panicles and Biological yield at both phenotypic level and genotypic level. Positive significant direct effects on grain yield per hill were exhibited by harvest index, biological yield and days to 50% flowering at genotypic level and phenotypic level. Thus, these traits are identified as the efficient and potential for indirect selection for the improvement of rice productivity in the present experimental materials.

Genetic variability heritability character association path analysis

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Association Study and Direct - Indirect Effects of Characters for Yield in Rice (Oryza sativa L.)

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DETERMINATION OF SUPERIOR BEAN GENOTYPES IN COOKING AND PHYSICAL BY MULTI-CRITERIA DECISION-MAKING METHOD

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Genetic Variability, Character Association, Path Coefficient, and Diversity Analysis of Rice ( Oryza sativa L.) Genotypes Based on Agro‐Morphological Traits

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