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A classic approach for determining genomic prediction accuracy under terminal drought stress and well-watered conditions in wheat landraces and cultivars.
Shabannejad, Morteza; Bihamta, Mohammad-Reza; Majidi-Hervan, Eslam; Alipour, Hadi; Ebrahimi, Asa.
Afiliación
  • Shabannejad M; Department of Plant Breeding and Biotechnology, Faculty of Agricultural Sciences and Food Industries, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  • Bihamta MR; Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences and Engineering, College of Agriculture and Natural Resources, University of Tehran, Tehran, Alborz, Iran.
  • Majidi-Hervan E; Department of Plant Breeding and Biotechnology, Faculty of Agricultural Sciences and Food Industries, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  • Alipour H; Department of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia University, Urmia, Iran.
  • Ebrahimi A; Department of Plant Breeding and Biotechnology, Faculty of Agricultural Sciences and Food Industries, Science and Research Branch, Islamic Azad University, Tehran, Iran.
PLoS One ; 16(3): e0247824, 2021.
Article en En | MEDLINE | ID: mdl-33667255
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estrés Fisiológico / Triticum / Agua / Sequías Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Irán
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estrés Fisiológico / Triticum / Agua / Sequías Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Irán