https://scholars.lib.ntu.edu.tw/handle/123456789/634642
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chen, Szu Ping | en_US |
dc.contributor.author | CHIH-WEI TUNG | en_US |
dc.contributor.author | Wang, Pei Hsien | en_US |
dc.contributor.author | CHEN-TUO LIAO | en_US |
dc.date.accessioned | 2023-08-21T06:55:47Z | - |
dc.date.available | 2023-08-21T06:55:47Z | - |
dc.date.issued | 2023-12-01 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165920192&doi=10.1038%2fs41598-023-39434-6&partnerID=40&md5=9b81331857807f688f22a437dfb63598 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/634642 | - |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Scientific Reports | en_US |
dc.title | A statistical package for evaluation of hybrid performance in plant breeding via genomic selection | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1038/s41598-023-39434-6 | - |
dc.identifier.pmid | 37500737 | - |
dc.identifier.scopus | 2-s2.0-85165920192 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85165920192 | - |
dc.relation.journalvolume | 13 | en_US |
dc.relation.journalissue | 1 | en_US |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | journal article | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
crisitem.author.dept | Agronomy | - |
crisitem.author.dept | Master Program in Global Agriculture Technology and Genomic Science (Global ATGS) | - |
crisitem.author.dept | Agronomy | - |
crisitem.author.dept | Institute of Statistics and Data Science | - |
crisitem.author.orcid | 0000-0001-5337-0177 | - |
crisitem.author.orcid | 0000-0001-9777-3701 | - |
crisitem.author.parentorg | College of Bioresources and Agriculture | - |
crisitem.author.parentorg | International College | - |
crisitem.author.parentorg | College of Bioresources and Agriculture | - |
crisitem.author.parentorg | College of Science | - |
顯示於: | 農藝學系 |
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