Correlation and Path Analysis of Grain Yield and Its Components of Some Bread Wheat (Triticum aestivem L.) Under Normal and Source Restriction Conditions
Journal Title: International Journal of Farming and Allied Sciences - Year 2013, Vol 2, Issue 23
Abstract
To determine the relationship between yield and its components, an experiment was carried out with ten bread wheat (Triticum aestivem L.) genotypes (Cross of Shahi, DN-11, Gascogne, Ghods, Karaj-3, Oroum, Parsi, Shiraz, Sorkhtokhm and Thous) under normal and source restriction conditions as Randomized Completely Block Design (RCBD) with three replicates at field of Islamabad Agricultural Research Station (Kermanshah Province, Iran) in 2011-2012 cropping cycle. In this study, correlation analysis of yield per hectare, harvest index, thousand kernel weight, spike weight, seed number per spike and seed weight per spike as independent traits were considered to understand the direct and indirect effects of various traits. At first, stepwise regression on yield was fitted as the most appropriate model, then, correlated traits were studied, and using path analysis, direct, indirect effects and percentages traits were evaluated. At normal condition seed weight per spike (5.16), harvest index (0.393) and seed number per spike (0.2711) had the highest positive direct effects on grain yield and thousand kernel weight (-4.5483), had the highest negative direct effect on grain yield. Under source restriction condition, seed number per spike (7.018), thousand kernel weight (5.483) and harvest index (0.893) had the highest positive direct effect on grain yield, and seed weight per spike(-7.151), had the highest negative direct effect on grain yield. In general (normal and source restriction conditions) seed number per spike (0.497), thousand kernel weight (0.456) and harvest index (0.450) had the highest positive direct effects on grain yield, and seed weight per spike (-0.247) had the highest negative direct effect on grain yield. According to these results, seed weight per spike, harvest index and seed per spike, in normal condition and seed per spike, thousand kernel weights and harvest index in source restriction condition can be used as a standard selection method in breeding programs.
Authors and Affiliations
Sara Meyari, Fathali Nouri*, Shariar Sasani, Godarz Najafian, Fayaze Aghayari
Keywords
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