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Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.).
Meher, Prabina Kumar; Gupta, Ajit; Rustgi, Sachin; Mir, Reyazul Rouf; Kumar, Anuj; Kumar, Jitendra; Balyan, Harindra Singh; Gupta, Pushpendra Kumar.
Affiliation
  • Meher PK; Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
  • Gupta A; Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
  • Rustgi S; Department of Plant and Environmental Sciences, Pee Dee Research and Education Centre, Clemson University, Florence, South Carolina, USA.
  • Mir RR; Division of Genetics and Plant Breeding, SKUAST-Kashmir, Kashmir, India.
  • Kumar A; Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Kumar J; Laboratory of Immunity, Shantou University Medical College, Shantou, People's Republic of China.
  • Balyan HS; National Agri-Food Biotechnology Institute (NABI), Ajitgarh, India.
  • Gupta PK; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, India.
Plant Genome ; 16(4): e20332, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37122189
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triticum / Micronutrients Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Plant Genome Year: 2023 Document type: Article Affiliation country: India
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triticum / Micronutrients Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Plant Genome Year: 2023 Document type: Article Affiliation country: India