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QTLs and Candidate Loci Associated with Drought Tolerance Traits of Kaybonnet x ZHE733 Recombinant Inbred Lines Rice Population.
Dwiningsih, Yheni; Thomas, Julie; Kumar, Anuj; Gupta, Chirag; Gill, Navdeep; Ruiz, Charles; Alkahtani, Jawaher; Baisakh, Niranjan; Pereira, Andy.
Afiliação
  • Dwiningsih Y; Department of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.
  • Thomas J; Department of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.
  • Kumar A; Department of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.
  • Gupta C; Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA.
  • Gill N; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Ruiz C; Department of Biological Sciences, Nova Southeastern University, Fort Lauderdale, FL 33314, USA.
  • Alkahtani J; Department of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.
  • Baisakh N; Department of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.
  • Pereira A; Department of School of Plant, Environmental and Soil Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.
Int J Mol Sci ; 24(20)2023 Oct 14.
Article em En | MEDLINE | ID: mdl-37894848
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Locos de Características Quantitativas Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Locos de Características Quantitativas Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article