An Algorithm for Controlling the Genetic-breeding Improvement of Economically Valuable Traits of Self-pollinated Plants

Abstract

Fundamentally new approaches to solving the problems of selection of parental pairs (varieties) for crossing and forecasting the ecological-genetic portrait of the future new variety are considered. An algorithm for controlling the breeding process based on mathematical models of the genotype-environment interaction is proposed, which consists in the sequential selection of options for complementary ecological and genetic portraits of potential parents and predicting the resulting quantitative breeding traits. In this case, the choice of options is carried out to the required degree of coincidence of the predicted and specified breeding characteristics. In the presence of controllability of environmental factors, such a choice is complemented by the optimization of environmental parameters, which ensures the maximum use of the ecological and genetic potential of the parents and the subsequent increase in the reliability of identification of offspring genotypes by their phenotypes.