A linear profit function for economic weights of linear phenotypic selection indices in plant breeding

The profit function (net returns minus costs) allows breeders to derive trait economic weights predict the net genetic merit (H) using linear phenotypic selection index (LPSI). Economic weight is increase in achieved by improving a particular one unit and should reflect market situation not only preferences or arbitrary values. In maize (Zea mays L.) wheat (Triticum aestivum) breeding programs, grain yield has specific price, which makes application of difficult. Assuming traits’ values have multivariate normal distribution, we used price its conditional expectation given all traits interest construct breeding. Using simulated real datasets, validated comparing results with obtained from set literature. criteria validate were estimated LPSI response correlation between H. For our approach, responses 1,567.13 1,291.5, whereas correlations .87 .85, respectively. other weights, 0.79 2.67, .58 .82, dataset similar. Thus, good option assign plant