https://scholars.lib.ntu.edu.tw/handle/123456789/634642
標題: | A statistical package for evaluation of hybrid performance in plant breeding via genomic selection | 作者: | Chen, Szu Ping CHIH-WEI TUNG Wang, Pei Hsien CHEN-TUO LIAO |
公開日期: | 1-十二月-2023 | 卷: | 13 | 期: | 1 | 來源出版物: | Scientific Reports | 摘要: | Hybrid breeding employs heterosis, which could potentially improve the yield and quality of a crop. Genomic selection (GS) is a promising approach for the selection of quantitative traits in plant breeding. The main objectives of this study are to (i) propose a GS-based approach to identify potential parental lines and superior hybrid combinations from a breeding population, which is composed of hybrids produced by a half diallel mating design; (ii) develop a software package for users to carry out the proposed approach. An R package, designated EHPGS, was generated to facilitate the employment of the genomic best linear unbiased model considering additive plus dominance marker effects for the hybrid performance evaluation. The R package contains a Bayesian statistical algorithm for calculating genomic estimated breeding value (GEBVs), GEBV-based specific combining ability, general combining ability, mid-parent heterosis, and better-parent heterosis. Three datasets that have been published in literature, including pumpkin (Cucurbita maxima), maize (Zea mays), and wheat (Triticum aestivum L.), were reanalyzed to illustrate the use of EHPGS. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165920192&doi=10.1038%2fs41598-023-39434-6&partnerID=40&md5=9b81331857807f688f22a437dfb63598 https://scholars.lib.ntu.edu.tw/handle/123456789/634642 |
ISSN: | 2045-2322 | DOI: | 10.1038/s41598-023-39434-6 |
顯示於: | 農藝學系 |
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