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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Main Authors: Leonardo Abdiel Crespo-Herrera, 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
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.638520/full
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spelling 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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