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Genome-Wide Association and Genomic Prediction for Stripe Rust Resistance in Synthetic-Derived Wheats.
Mahmood, Zahid; Ali, Mohsin; Mirza, Javed Iqbal; Fayyaz, Muhammad; Majeed, Khawar; Naeem, Muhammad Kashif; Aziz, Abdul; Trethowan, Richard; Ogbonnaya, Francis Chuks; Poland, Jesse; Quraishi, Umar Masood; Hickey, Lee Thomas; Rasheed, Awais; He, Zhonghu.
Afiliação
  • Mahmood Z; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
  • Ali M; Crop Sciences Institute, National Agricultural Research Centre (NARC), Islamabad, Pakistan.
  • Mirza JI; Institute of Crop Sciences, CIMMYT-China office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
  • Fayyaz M; Crop Disease Research Institute, NARC, Islamabad, Pakistan.
  • Majeed K; Crop Disease Research Institute, NARC, Islamabad, Pakistan.
  • Naeem MK; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
  • Aziz A; National Institute for Genomics and Advanced Biotechnology (NIGAB), National Agriculture Research Center (NARC), Islamabad, Pakistan.
  • Trethowan R; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
  • Ogbonnaya FC; Plant Breeding Institute, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
  • Poland J; Grains Research and Development Corporation, Kingston, ACT, Australia.
  • Quraishi UM; Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.
  • Hickey LT; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
  • Rasheed A; Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Saint Lucia, QLD, Australia.
  • He Z; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
Front Plant Sci ; 13: 788593, 2022.
Article em En | MEDLINE | ID: mdl-35283883

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article