Genomic Selection in Plant Breeding: Methods, Models, and Perspectives

Crossa, José ; Pérez-Rodríguez, Paulino ; Cuevas, Jaime ; Montesinos-López, Osval ; Jarquín, Diego ; de los Campos, Gustavo ; Burgueño, Juan ; González-Camacho, Juan M. ; Pérez-Elizalde, Sergio ; Beyene, Yoseph ; Dreisigacker, Susanne ; Singh, Ravi ; Zhang, Xuecai ; Gowda, Manje ; Roorkiwal, Manish ; Rutkoski, Jessica ; Varshney, Rajeev K. (2017) Genomic Selection in Plant Breeding: Methods, Models, and Perspectives Trends in Plant Science, 22 (11). pp. 961-975. ISSN 1360-1385

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Official URL: http://doi.org/10.1016/j.tplants.2017.08.011

Related URL: http://dx.doi.org/10.1016/j.tplants.2017.08.011

Abstract

In recent years, the global climate has changed, resulting in drastic fluctuations in rainfall patterns and increasing temperature. Sudden climate changes can cause significant economic losses to countries worldwide. Genetic improvement of several economically important crops during the 20th century using phenotypic, pedigree, and performance data was very successful. However, signs of grain yield stagnation in some crops, especially in drought-stressed and semi-arid regions, are evident. Genomic selection offers the opportunity to increase grain production in less time. International Maize and Wheat Improvement Center (CIMMYT) maize breeding research in Sub-Saharan Africa, India, and Mexico has shown that genomic selection can reduce the breeding interval cycle to at least half the conventional time and produces lines that, in hybrid combinations, significantly increase grain yield performance over that of commercial checks. Public and private investment in crop genomic selection research should increase to successfully develop in less time germplasm that is adapted to sudden climate change.

Item Type:Article
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ID Code:124870
Deposited On:07 Dec 2021 12:19
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