| Literature DB >> 31548720 |
Philomin Juliana1, Jesse Poland2, Julio Huerta-Espino3, Sandesh Shrestha2, José Crossa1, Leonardo Crespo-Herrera1, Fernando Henrique Toledo1, Velu Govindan1, Suchismita Mondal1, Uttam Kumar4, Sridhar Bhavani1, Pawan K Singh1, Mandeep S Randhawa5, Xinyao He1, Carlos Guzman1,6, Susanne Dreisigacker1, Matthew N Rouse7, Yue Jin7, Paulino Pérez-Rodríguez8, Osval A Montesinos-López9, Daljit Singh2, Mohammad Mokhlesur Rahman2,10, Felix Marza11, Ravi Prakash Singh12.
Abstract
Bread wheat improvement using genomic tools is essential for accelerating trait genetic gains. Here we report the genomic predictabilities of 35 key traits and demonstrate the potential of genomic selection for wheat end-use quality. We also performed a large genome-wide association study that identified several significant marker-trait associations for 50 traits evaluated in South Asia, Africa and the Americas. Furthermore, we built a reference wheat genotype-phenotype map, explored allele frequency dynamics over time and fingerprinted 44,624 wheat lines for trait-associated markers, generating over 7.6 million data points, which together will provide a valuable resource to the wheat community for enhancing productivity and stress resilience.Entities:
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Year: 2019 PMID： 31548720 DOI： 10.1038/s41588-019-0496-6
Source DB: PubMed Journal: Nat Genet ISSN： 1061-4036 Impact factor: 38.330