Accurate prediction of complex traits for individuals and offspring from parents using a simple, rapid, and efficient method for gene-based breeding in cotton and maize.

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Title: Accurate prediction of complex traits for individuals and offspring from parents using a simple, rapid, and efficient method for gene-based breeding in cotton and maize.
Authors: Liu YH; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA., Zhang M; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA., Scheuring CF; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA., Cilkiz M; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA., Sze SH; Department of Computer Science and Engineering and Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA., Smith CW; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA., Murray SC; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA., Xu W; Texas A&M AgriLife Research, Lubbock, TX 79403, USA., Zhang HB; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address: hbz7049@tamu.edu.
Source: Plant science : an international journal of experimental plant biology [Plant Sci] 2022 Mar; Vol. 316, pp. 111153. Date of Electronic Publication: 2021 Dec 13.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Ireland Country of Publication: Ireland NLM ID: 9882015 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2259 (Electronic) Linking ISSN: 01689452 NLM ISO Abbreviation: Plant Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Accurate prediction of complex traits for individuals and offspring from parents using a simple, rapid, and efficient method for gene-based breeding in cotton and maize.
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  Data: <searchLink fieldCode="AU" term="%22Liu+YH%22">Liu YH</searchLink>; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+M%22">Zhang M</searchLink>; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.<br /><searchLink fieldCode="AU" term="%22Scheuring+CF%22">Scheuring CF</searchLink>; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.<br /><searchLink fieldCode="AU" term="%22Cilkiz+M%22">Cilkiz M</searchLink>; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.<br /><searchLink fieldCode="AU" term="%22Sze+SH%22">Sze SH</searchLink>; Department of Computer Science and Engineering and Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA.<br /><searchLink fieldCode="AU" term="%22Smith+CW%22">Smith CW</searchLink>; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.<br /><searchLink fieldCode="AU" term="%22Murray+SC%22">Murray SC</searchLink>; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.<br /><searchLink fieldCode="AU" term="%22Xu+W%22">Xu W</searchLink>; Texas A&M AgriLife Research, Lubbock, TX 79403, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+HB%22">Zhang HB</searchLink>; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address: hbz7049@tamu.edu.
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  Data: <searchLink fieldCode="JN" term="%229882015%22">Plant science : an international journal of experimental plant biology</searchLink> [Plant Sci] 2022 Mar; Vol. 316, pp. 111153. <i>Date of Electronic Publication: </i>2021 Dec 13.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Ireland%22">Elsevier Ireland </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>9882015 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-2259 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201689452%22">01689452 </searchLink><i>NLM ISO Abbreviation: </i>Plant Sci <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.plantsci.2021.111153
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      – Code: eng
        Text: English
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        StartPage: 111153
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      – TitleFull: Accurate prediction of complex traits for individuals and offspring from parents using a simple, rapid, and efficient method for gene-based breeding in cotton and maize.
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            – D: 01
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              Text: 2022 Mar
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              Y: 2022
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              Value: 316
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            – TitleFull: Plant science : an international journal of experimental plant biology
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