Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics

Philomin Juliana; Jesse Poland; Julio Huerta-Espino; Sandesh Shrestha; José Crossa; Leonardo Crespo-Herrera; Fernando Henrique Toledo; Velu Govindan; Suchismita Mondal; Uttam Kumar; Sridhar Bhavani; Pawan K. Singh; Mandeep S. Randhawa; Xinyao He; Carlos Guzman; Susanne Dreisigacker; Matthew N. Rouse; Yue Jin; Paulino Pérez-Rodríguez; Osval A. Montesinos-López; Daljit Singh; Mohammad Mokhlesur Rahman; Felix Marza; Ravi Prakash Singh

doi:10.1038/s41588-019-0496-6

Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics

Philomin Juliana, Jesse Poland, Julio Huerta-Espino, Sandesh Shrestha, José Crossa, Leonardo Crespo-Herrera, Fernando Henrique Toledo, Velu Govindan, Suchismita Mondal, Uttam Kumar, Sridhar Bhavani, Pawan K. Singh, Mandeep S. Randhawa, Xinyao He, Carlos Guzman, Susanne Dreisigacker, Matthew N. Rouse, Yue Jin, Paulino Pérez-Rodríguez, Osval A. Montesinos-LópezDaljit Singh, Mohammad Mokhlesur Rahman, Felix Marza, Ravi Prakash Singh

Research output: Contribution to journal › Article › peer-review

187 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1530-1539
Number of pages	10
Journal	Nature Genetics
Volume	51
Issue number	10
DOIs	https://doi.org/10.1038/s41588-019-0496-6
State	Published - Oct 1 2019
Externally published	Yes

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Juliana, P., Poland, J., Huerta-Espino, J., Shrestha, S., Crossa, J., Crespo-Herrera, L., Toledo, F. H., Govindan, V., Mondal, S., Kumar, U., Bhavani, S., Singh, P. K., Randhawa, M. S., He, X., Guzman, C., Dreisigacker, S., Rouse, M. N., Jin, Y., Pérez-Rodríguez, P., ... Singh, R. P. (2019). Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics. Nature Genetics, 51(10), 1530-1539. https://doi.org/10.1038/s41588-019-0496-6

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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.",

author = "Philomin Juliana and Jesse Poland and Julio Huerta-Espino and Sandesh Shrestha and Jos{\'e} Crossa and Leonardo Crespo-Herrera and Toledo, {Fernando Henrique} and Velu Govindan and Suchismita Mondal and Uttam Kumar and Sridhar Bhavani and Singh, {Pawan K.} and Randhawa, {Mandeep S.} and Xinyao He and Carlos Guzman and Susanne Dreisigacker and Rouse, {Matthew N.} and Yue Jin and Paulino P{\'e}rez-Rodr{\'i}guez and Montesinos-L{\'o}pez, {Osval A.} and Daljit Singh and {Mokhlesur Rahman}, Mohammad and Felix Marza and Singh, {Ravi Prakash}",

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Juliana, P, Poland, J, Huerta-Espino, J, Shrestha, S, Crossa, J, Crespo-Herrera, L, Toledo, FH, Govindan, V, Mondal, S, Kumar, U, Bhavani, S, Singh, PK, Randhawa, MS, He, X, Guzman, C, Dreisigacker, S, Rouse, MN, Jin, Y, Pérez-Rodríguez, P, Montesinos-López, OA, Singh, D, Mokhlesur Rahman, M, Marza, F & Singh, RP 2019, 'Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics', Nature Genetics, vol. 51, no. 10, pp. 1530-1539. https://doi.org/10.1038/s41588-019-0496-6

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AU - Juliana, Philomin

AU - Poland, Jesse

AU - Huerta-Espino, Julio

AU - Shrestha, Sandesh

AU - Crossa, José

AU - Crespo-Herrera, Leonardo

AU - Toledo, Fernando Henrique

AU - Govindan, Velu

AU - Mondal, Suchismita

AU - Kumar, Uttam

AU - Bhavani, Sridhar

AU - Singh, Pawan K.

AU - Randhawa, Mandeep S.

AU - He, Xinyao

AU - Guzman, Carlos

AU - Dreisigacker, Susanne

AU - Rouse, Matthew N.

AU - Jin, Yue

AU - Pérez-Rodríguez, Paulino

AU - Montesinos-López, Osval A.

AU - Singh, Daljit

AU - Mokhlesur Rahman, Mohammad

AU - Marza, Felix

AU - Singh, Ravi Prakash

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AB - 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.

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JO - Nature Genetics

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Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics

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