Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains
In this study, we defined the target population of environments (TPE) for wheat breeding in India, the largest wheat producer in South Asia, and estimated the correlated response to the selection and prediction ability of five selection environments (SEs) in Mexico. We also estimated grain yield (GY...
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doaj-2476fe0b92d5421186046ea806147a722021-05-24T05:27:55ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2021-05-011210.3389/fpls.2021.638520638520Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic GainsLeonardo Abdiel Crespo-Herrera0Jose Crossa1Jose Crossa2Julio Huerta-Espino3Suchismita Mondal4Govindan Velu5Philomin Juliana6Mateo Vargas7Paulino Pérez-Rodríguez8Arun Kumar Joshi9Hans Joachim Braun10Ravi Prakash Singh11Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, MexicoGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, MexicoColegio de Post-Graduados, Texcoco, MexicoInstituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias (INIFAP), Campo Experimental Valle de México, México, MexicoGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, MexicoGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, MexicoGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), New Delhi, IndiaPrograma de Protección Vegetal, Universidad Autónoma Chapingo, Texcoco, MexicoColegio de Post-Graduados, Texcoco, MexicoGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), New Delhi, IndiaGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, MexicoGlobal Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, MexicoIn this study, we defined the target population of environments (TPE) for wheat breeding in India, the largest wheat producer in South Asia, and estimated the correlated response to the selection and prediction ability of five selection environments (SEs) in Mexico. We also estimated grain yield (GY) gains in each TPE. Our analysis used meteorological, soil, and GY data from the international Elite Spring Wheat Yield Trials (ESWYT) distributed by the International Maize and Wheat Improvement Center (CIMMYT) from 2001 to 2016. We identified three TPEs: TPE 1, the optimally irrigated Northwestern Plain Zone; TPE 2, the optimally irrigated, heat-stressed North Eastern Plains Zone; and TPE 3, the drought-stressed Central-Peninsular Zone. The correlated response to selection ranged from 0.4 to 0.9 within each TPE. The highest prediction accuracies for GY per TPE were derived using models that included genotype-by-environment interaction and/or meteorological information and their interaction with the lines. The highest prediction accuracies for TPEs 1, 2, and 3 were 0.37, 0.46, and 0.51, respectively, and the respective GY gains were 118, 46, and 123 kg/ha/year. These results can help fine-tune the breeding of elite wheat germplasm with stable yields to reduce farmers’ risk from year-to-year environmental variation in India’s wheat lands, which cover 30 million ha, account for 100 million tons of grain or more each year, and provide food and livelihoods for hundreds of millions of farmers and consumers in South Asia.https://www.frontiersin.org/articles/10.3389/fpls.2021.638520/fullgenotype-by-environment interactionresponse to selectiongenetic correlationsmulti- environmental trialspedigree-based predictions |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Leonardo Abdiel Crespo-Herrera Jose Crossa Jose Crossa Julio Huerta-Espino Suchismita Mondal Govindan Velu Philomin Juliana Mateo Vargas Paulino Pérez-Rodríguez Arun Kumar Joshi Hans Joachim Braun Ravi Prakash Singh |
spellingShingle |
Leonardo Abdiel Crespo-Herrera Jose Crossa Jose Crossa Julio Huerta-Espino Suchismita Mondal Govindan Velu Philomin Juliana Mateo Vargas Paulino Pérez-Rodríguez Arun Kumar Joshi Hans Joachim Braun Ravi Prakash Singh Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains Frontiers in Plant Science genotype-by-environment interaction response to selection genetic correlations multi- environmental trials pedigree-based predictions |
author_facet |
Leonardo Abdiel Crespo-Herrera Jose Crossa Jose Crossa Julio Huerta-Espino Suchismita Mondal Govindan Velu Philomin Juliana Mateo Vargas Paulino Pérez-Rodríguez Arun Kumar Joshi Hans Joachim Braun Ravi Prakash Singh |
author_sort |
Leonardo Abdiel Crespo-Herrera |
title |
Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains |
title_short |
Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains |
title_full |
Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains |
title_fullStr |
Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains |
title_full_unstemmed |
Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains |
title_sort |
target population of environments for wheat breeding in india: definition, prediction and genetic gains |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Plant Science |
issn |
1664-462X |
publishDate |
2021-05-01 |
description |
In this study, we defined the target population of environments (TPE) for wheat breeding in India, the largest wheat producer in South Asia, and estimated the correlated response to the selection and prediction ability of five selection environments (SEs) in Mexico. We also estimated grain yield (GY) gains in each TPE. Our analysis used meteorological, soil, and GY data from the international Elite Spring Wheat Yield Trials (ESWYT) distributed by the International Maize and Wheat Improvement Center (CIMMYT) from 2001 to 2016. We identified three TPEs: TPE 1, the optimally irrigated Northwestern Plain Zone; TPE 2, the optimally irrigated, heat-stressed North Eastern Plains Zone; and TPE 3, the drought-stressed Central-Peninsular Zone. The correlated response to selection ranged from 0.4 to 0.9 within each TPE. The highest prediction accuracies for GY per TPE were derived using models that included genotype-by-environment interaction and/or meteorological information and their interaction with the lines. The highest prediction accuracies for TPEs 1, 2, and 3 were 0.37, 0.46, and 0.51, respectively, and the respective GY gains were 118, 46, and 123 kg/ha/year. These results can help fine-tune the breeding of elite wheat germplasm with stable yields to reduce farmers’ risk from year-to-year environmental variation in India’s wheat lands, which cover 30 million ha, account for 100 million tons of grain or more each year, and provide food and livelihoods for hundreds of millions of farmers and consumers in South Asia. |
topic |
genotype-by-environment interaction response to selection genetic correlations multi- environmental trials pedigree-based predictions |
url |
https://www.frontiersin.org/articles/10.3389/fpls.2021.638520/full |
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