International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 6

Studies on correlation and path analysis for yield and its contributing traits in rice (Oryza sativa L) grown in two different environments


Author(s): Ankur Kumar Singh, Shiva Nath, Akanksha Singh, Govind Mishra and Aman Mishra

Abstract: The present investigation is carried out to study the correlation and path analysis in seventy-three genotypes of rice (Oryza sativa L.). Grain yield being a complex trait, to achieve the basic aim of plant breeders of improving the yielding potential of existing varieties along with creation of new varieties with high yielding potential, this experiment was carried out to study the association of yield attributing characters with grain yield and path analysis in seventy-three rice genotypes at two farms with different sodicity levels. The phenotypic correlation coefficient analysis revealed the positive and highly significant association of biological yield per plant followed by Productive tillers/plant, fertile spikelet per panicle, 1000-grains weight, panicle length, Spikelet fertility at agronomy farm, selection for these traits can improve yield. At Main Experiment Station result showed that grain yield per plant exhibited highly significant and positive correlation with biological yield per plant followed by Productive tillers/plant, fertile spikelet per panicle, 1000- grain weight, and panicle length; while there is not found any negative and significant correlation at both farms. Path analysis showed, biological yield/plant. harvest index, and productive tillers per plant exerted very high positive direct effect on grain yield per plant (g). Biological yield per plant exhibited high order of positive indirect effects on grain yield per plant via, Productive tillers per plant, followed by fertile spikelets per panicle, and panicle length at both farms. Hence, direct selection of any traits namely biological yield per plant, harvest index and productive tillers per plant can be effective for future breeding programs to improve yield trait in rice. Improvement in these traits will result in simultaneous improvement of yield.

Pages: 19-24 | Views: 108 | Downloads: 7

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How to cite this article:
Ankur Kumar Singh, Shiva Nath, Akanksha Singh, Govind Mishra, Aman Mishra. Studies on correlation and path analysis for yield and its contributing traits in rice (Oryza sativa L) grown in two different environments. Int J Stat Appl Math 2023;8(6S):19-24.

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