Evaluation of Empirical and Predictive Approach of Selection for Yield Improvement in Wheat
Journal Title: Journal of Plant Science and Research - Year 2015, Vol 2, Issue 2
Abstract
The relative efficiency of empirical and predictive approaches was evaluated in identifying the suitability of early generation (F2) selection criteria for yield improvement in wheat. It was concluded that (i) the identification of traits for selection in F2 generation following simple correlation and regression approach is inefficient, (ii) the predictive approach was also poor in comparison to the empirical approach for the identification of traits for selection in F2 generation and (iii) Correlation coefficients of grain yield of F4 bulk progenies with grain yield of parent F2 plants were not significant, making prediction in early generation difficult. The correlation coefficients of grains per spike (r = 0.54**, 0.54** and 0.52**), tiller number (r = 0.79**, 0.83** and 0.55** and biological yield (r = 0.88**, 0.92** and 0.90**) with grain yield in F2 generation were high in all the three crosses. Thus the selection based on one or simultaneously on all three yield components viz: grain number, high tiller number and higher biological yield would result into high grain yield due to positive correlated response. Use of stepwise multiple regression approach may quantify and improve the efficiency of selection based on above traits in resulting generation.
Authors and Affiliations
Tejbir Singh
Keywords
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