Association mapping reveals multiple QTLs for grain protein content in rice useful for biofortification.

Pradhan, S K; Pandit, E; Pawar, S; Bharati, Barsha; Chatopadhyay, K; Singh, S; Dash, P; Reddy, J N

Pradhan, S K; Pandit, E; Pawar, S; Bharati, Barsha; Chatopadhyay, K; Singh, S; Dash, P; Reddy, J N.

Affiliation

Pradhan SK; Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India. pradhancrri@gmail.com.
Pandit E; Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Pawar S; Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Bharati B; Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Chatopadhyay K; Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.
Singh S; ICAR-National Research Center for Plant Biotechnology, Pusa, New Delhi, India.
Dash P; ICAR-National Research Center for Plant Biotechnology, Pusa, New Delhi, India.
Reddy JN; Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, India.

Mol Genet Genomics ; 294(4): 963-983, 2019 Aug.

Article in En | MEDLINE | ID: mdl-30963249

Subject(s)
Key words

Association mapping; Genetic diversity; Grain protein content; Linkage disequilibrium mapping; Population structure; QTL mapping

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Proteins / Oryza / Quantitative Trait Loci / Genetic Association Studies Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Mol Genet Genomics Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2019 Document type: Article Affiliation country: India Country of publication: Alemania

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