Genetic variability, character association and path coefficient analysis in rice (Oryza sativa) genotypes of semi-arid region of India

ALOK KUMAR SINGH; D K DWIVEDI; DEVENDRA KUMAR; ASHUTOSH SINGH; SAURABH DIXIT; N A KHAN; ADESH KUMAR

doi:10.56093/ijas.v93i8.137199

Authors

ALOK KUMAR SINGH Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh 224 229, India
D K DWIVEDI Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh 224 229, India
DEVENDRA KUMAR Swami Vivekanand Subharti University, Meerut, Uttar Pradesh
ASHUTOSH SINGH Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh
SAURABH DIXIT Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh 224 229, India
N A KHAN Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh 224 229, India
ADESH KUMAR Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh 224 229, India

https://doi.org/10.56093/ijas.v93i8.137199

Keywords:

Correlation, Genetic variability, Heritability, Path coefficient

Abstract

A field experiment was conducted during rainy (kharif) seasons of 2021 and 2022 at research farm of Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh to find out genetic variations, trait association and path coefficient among 116 rice (Oryza sativa L.) genotypes based on grain yield and yield attributes. Variance analysis displayed extensive trait-wise variations across genotypes, indicated variability and opportunity for genetic selection of desirable traits. All the studied characters showed minimum influence of environment on the expression of trait and genetic factors. High heritability in broad sense (h2 b) and high to moderate genetic advance in per cent of the mean were recorded for all the characters. Genetic factors showed significant influence on the expression of traits, with high heritability and moderate genetic advance. Genotypic correlation with grain yield and path analysis revealed selection based on plant height, harvest index, biological yield per plant, flag leaf area, spikelet fertility, number of spikelets per panicle and seedling vigour will be more effective for increasing grain yield.

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