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The present experiment was designed with the objective of creating selection indices within 50 different genetic varieties of bread wheat (Triticum aestivum L.) using the discriminant-function technique under timely sown conditions. We developed a total of thirty-one selection indices, which incorporated grain yield plant-1 and four other yield components. By including a greater number of characteristics within the index, the effectiveness of the selection process was enhanced. The selection index, primarily focused on two traits, namely biological yield plant-1 and harvest index, emerged as the most efficient for identifying higher-yielding strains. The findings underscored the importance of assigning maximum priority to these attributes when making selections related to yield traits in bread wheat.
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Patel et al. (2024) studied this question.
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