Volume 12, Issue 45 (fall 2008)
jwss 2008, 12(45): 21-32 |
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Rezai A M, Yousofi Azar M. Comparison of Direct and Indirect Selection Methods Based on Selection Indices in Wheat Lines in Drought and Non Drought Conditions. jwss 2008; 12 (45) :21-32
URL: http://jstnar.iut.ac.ir/article-1-897-en.html
URL: http://jstnar.iut.ac.ir/article-1-897-en.html
Abstract: (29906 Views)
To improve a complex character such as yield with low heritability, the use of indirect selection through other characters and a selection index based on different effective traits is recommended. This study was conducted to evaluate different selection methods by using 23 F2:4 wheat lines derived from the cross of Virmarin (susceptible cultivar) and Sardari (tolerant cultivar) at Research Farm of Isfahan University of Technology. A randomized complete block design with three replications was used in two irrigation treatments (i.e. irrigation after 70±3 and 120±3 mm evaporation from class A pan). For each irrigation treatment, different selection indices were constructed based on the number of spike per m2, days to heading, number of grain per spike and 1000 – kernel weight. Also direct and correlated responses were calculated for these traits. The results of the response to selection and correlated response indicated that in the same conditions of this study, early heading cultivars with high number of spikes and low number of grain per spike with high 1000-kernel weight will have more yield potential. Number of spike per m2 and 1000-kernel weight exhibited positive response in most of the indices and both irrigation treatments, while days to heading and number of grain per spike revealed negative responses. Thus selection based on these indices would result in early heading cultivars with high spike per m2, low number of grain per spike and high 1000–kernel weight. It was also found that Smith-Hazel and Brim-Williams indices had the highest efficiencies.
Keywords: Wheat, Correlated response, Direct and indirect selection, Drought stress, Selection indices.
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