GAPIT version 4: integration of GWAS into genomic prediction.

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Title: GAPIT version 4: integration of GWAS into genomic prediction.
Authors: Wang J; Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu 610041, China.; Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA., Zhang Z; Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA.
Source: Molecular biology and evolution [Mol Biol Evol] 2026 May 01; Vol. 43 (5).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 8501455 Publication Model: Print Cited Medium: Internet ISSN: 1537-1719 (Electronic) Linking ISSN: 07374038 NLM ISO Abbreviation: Mol Biol Evol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu 610041, China.; Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+Z%22">Zhang Z</searchLink>; Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8501455 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1537-1719 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2207374038%22">07374038 </searchLink><i>NLM ISO Abbreviation: </i>Mol Biol Evol <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1093/molbev/msag107
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      – Code: eng
        Text: English
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      – TitleFull: GAPIT version 4: integration of GWAS into genomic prediction.
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            NameFull: Wang J
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            NameFull: Zhang Z
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            – D: 01
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              Text: 2026 May 01
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              Y: 2026
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              Value: 43
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              Value: 5
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