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Molecular markers-based DNA fingerprinting coupled with morphological diversity analysis for prediction of heterotic grouping in sunflower (Helianthus annuus L.).
Ibrar, Danish; Khan, Shahbaz; Mahmood, Talat; Bakhsh, Ali; Aziz, Irum; Rais, Afroz; Ahmad, Rafiq; Bashir, Saqib; Nawaz, Muhammad; Rashid, Nabila; Irshad, Sohail; Alotaibi, Saqer S; Dvorackova, Helena; Dvoracek, Jan; Hasnain, Zuhair.
Afiliación
  • Ibrar D; National Agricultural Research Centre, Islamabad, Pakistan.
  • Khan S; Department of Plant Breeding and Genetics, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, Pakistan.
  • Mahmood T; National Agricultural Research Centre, Islamabad, Pakistan.
  • Bakhsh A; Department of Plant Breeding and Genetics, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Rawalpindi, Pakistan.
  • Aziz I; Department of Plant Breeding and Genetics, Ghazi University, Dera Ghazi Khan, Pakistan.
  • Rais A; Department of Plant Breeding and Genetics, Ghazi University, Dera Ghazi Khan, Pakistan.
  • Ahmad R; Department of Botany, Sardar Bahadur Khan Women's University, Quetta, Pakistan.
  • Bashir S; Barani Agriculture Research Institute, Chakwal, Pakistan.
  • Nawaz M; Department of Soil and Environmental Science, Ghazi University, Dera Ghazi Khan, Pakistan.
  • Rashid N; Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
  • Irshad S; Department of Botany, University of Agriculture, Faisalabad, Pakistan.
  • Alotaibi SS; Department of Agronomy, MNS-University of Agriculture, Multan, Pakistan.
  • Dvorackova H; Department of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia.
  • Dvoracek J; Department of Agrochemistry, Soil Science, Microbiology and Plant Nutrition, Faculty of AgriSciences, Mendel University in Brno, Brno, Czechia.
  • Hasnain Z; Pedologiejh, spol s.r.o, Brno, Czechia.
Front Plant Sci ; 13: 916845, 2022.
Article en En | MEDLINE | ID: mdl-35968099
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Suiza
Texto completo
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Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Suiza