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Assessment of Path Coefficient Analysis of Yield and its Associated Traits in Wheat
Author(s) -
Chitralekha Shyam et al. Chitralekha Shyam et al.
Publication year - 2018
Publication title -
international journal of botany and research
Language(s) - English
Resource type - Journals
eISSN - 2319-4456
pISSN - 2277-4815
DOI - 10.24247/ijbrapr20181
Subject(s) - path coefficient , path analysis (statistics) , yield (engineering) , path (computing) , statistics , mathematics , computer science , materials science , metallurgy , programming language
Wheat is an important cereal crop of cool climates, and plays an important role in the food and nutritional security of India. The experiment was conducted at Research Farm, IGKV, Raipur during Rabi 2013-14. Twenty two wheat genotypes including checks were grown in Randomized Block Design with three replications. Five randomly selected plants from each treatment were tagged for recording the observations. The objective of this study was to establish path coefficient analysis in wheat. Yield is a complex trait, which is interacted by number of components directly or indirectly. The present experiment was conducted and estimates of Path coefficient analysis. Path coefficient analysis revealed that number of seeds per spike, 1000-seed weight, biological yield per plot, spike length and days to 50 % flowering exhibited a high positive direct effect and significant correlation coefficient with seed yield per plant. Therefore direct selection through these traits will be effective for yield improvement in seed yield. Plant height and days to maturity had negative direct effect as well as significant negative correlation with seed yield per plant. Therefore, it is logical to select plants having short plant height and early maturity for the improvement of seed yield per plant.

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