自花授粉植物经济价值性状遗传育种改良控制算法

I. Mikhailenko, V. Dragavtsev
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引用次数: 0

摘要

从根本上解决杂交亲本对(品种)的选择问题和预测未来新品种的生态遗传画像的新方法。提出了一种基于基因型-环境相互作用数学模型的育种过程控制算法,该算法包括对潜在亲本的互补生态和遗传画像进行顺序选择,并预测由此产生的数量育种性状。在这种情况下,选项的选择是按照所要求的预测和指定的育种特性的吻合程度进行的。在环境因素具有可控性的情况下,环境参数的优化是这种选择的补充,从而确保最大限度地利用亲本的生态和遗传潜力,从而提高通过表型鉴定后代基因型的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Algorithm for Controlling the Genetic-breeding Improvement of Economically Valuable Traits of Self-pollinated Plants
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.
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