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Vol. 11, Issue 7 (2022)

Assessment of correlation and path analysis for yield and yield contributing traits in bread wheat (Triticum aestivum L. Em. Thell)

Author(s):
Kachakayala Rohith, Nilesh Talekar, C Chethan Sree and J Pranay Reddy
Abstract:
An experiment was conducted to study the correlation and path coefficient analysis for different characters in bread wheat. The investigation comprised of 30 genotypes was carried out in Randomized Complete Block Design (RCBD) with three replications. Data were recorded for days to flowering, days to maturity, plant height, No. of productive tillers per plant, Spike length, No. of spikelet per spike, No. of grains per spike, 1000 seed weight, biological yield per plant, grain yield per plant, harvest index, chlorophyll content, canopy temperature and protein content. Both genotypic and phenotypic correlation coefficient study revealed that grain yield per plant was positively and highly significantly correlated with spike length, 1000 seed weight, biological yield per plant and harvest index but in genotypic correlation, chlorophyll content showing negatively and highly significant correlated with the grain yield. Path analysis results showed that biological yield (0.985) and harvest index (0.927) had the highest positive direct effect on grain yield. While other traits contribute to the grain yield significantly indirectly via biological yield and harvest index. This suggests that biological yield and harvest index having significant positive correlation and high direct effect on grain yield explained the true relationship and the direct selection of the genotypes through these traits is effective for improving yield potentiality.
Pages: 512-516  |  279 Views  95 Downloads


The Pharma Innovation Journal
How to cite this article:
Kachakayala Rohith, Nilesh Talekar, C Chethan Sree, J Pranay Reddy. Assessment of correlation and path analysis for yield and yield contributing traits in bread wheat (Triticum aestivum L. Em. Thell). Pharma Innovation 2022;11(7):512-516.

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