title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÑÐ°ÑÑÐµÐ¹ Ð²ÑÐ±Ð¾ÑÐºÐ¸ Ð´Ð»Ñ Ð³ÐµÐ½Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐµÐ»ÐµÐºÑÐ¸Ð¸ ÑÐ°ÑÑÐµÐ½Ð¸Ð¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Design the algorithm for the optimal selection of a training samples for genomic plant breeding
Creators: name: ÐÑÑÑÐ¸Ð½, ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: IT-ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸
Ð³ÐµÐ½Ð¾Ð¼Ð½Ð°Ñ ÑÐµÐ»ÐµÐºÑÐ¸Ñ
ÑÐ°Ð·Ð½Ð¾ÑÑÐ½Ð°Ñ ÑÐ²Ð¾Ð»ÑÑÐ¸Ñ
R
Ð¼Ð¾Ð´ÐµÐ»Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸
RR-BLUP
ÑÐµÐ½Ð¾ÑÐ¸Ð¿
Ð³ÐµÐ½Ð¾ÑÐ¸Ð¿
DEEPMETHOD
Ð¼Ð½Ð¾Ð³Ð¾Ð¼ÐµÑÐ½Ð°Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ
IT-technologies
genomic selection
difference evolution
regression model
phenotype
genotype
multidimensional optimization

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description: This bachelor's work is devoted to the development of an algorithm for optimizing the training set for genomic selection. Research problem: 1. To study approaches to conducting genomic selection, as well as to investigate methods for optimizing the training sample for genomic selection. 2. Develop modifications to optimize the training sample for the genomic selection task. 3. Test the implemented algorithms and compare their results. \indent Based on existing research, a scheme for selecting the best set of samples for genomic plant breeding was designed and tested. As the main optimization algorithm, the difference evolution method was used, where the target function was selected estimated theoretical accuracy (EthAcc). A software implementation of modifications of the difference evolution algorithm based on the open project deepmethod has been developed. For the implemented modifications, tests were performed using real data on the phenotype and genotype of various wheat varieties. To conduct a comparative analysis, we used the RR-BLUP regression parameter estimation method, which is the most popular among the methods used in the problem of genomic selection. The analysis of numerical experiments showed that there were differences in the results of modifications.