Target population of environments for wheat breeding in India: definition, prediction and genetic gains

dc.creatorCrespo Herrera, L.A.
dc.creatorCrossa, J.
dc.creatorHuerta-Espino, J.
dc.creatorMondal, S.
dc.creatorVelu, G.
dc.creatorJuliana, P.
dc.creatorVargas-Hernández, M.
dc.creatorPerez-Rodriguez, P.
dc.creatorJoshi, A.K.
dc.creatorBraun, H.J.
dc.creatorSingh, R.P.
dc.date2021-06-30T00:20:12Z
dc.date2021-06-30T00:20:12Z
dc.date2021
dc.date.accessioned2023-07-17T20:07:49Z
dc.date.available2023-07-17T20:07:49Z
dc.identifierhttps://hdl.handle.net/10883/21561
dc.identifier10.3389/fpls.2021.638520
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7513342
dc.descriptionIn 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.
dc.languageEnglish
dc.publisherFrontiers
dc.relationhttp://orderseed.cimmyt.org/iwin-results.php
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source12
dc.source1664-462X
dc.sourceFrontiers in Plant Science
dc.source638520
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectResponse to Selection
dc.subjectPedigree-Based Predictions
dc.subjectMultienvironmental Trials
dc.subjectGENOTYPE ENVIRONMENT INTERACTION
dc.subjectSELECTION
dc.subjectGENETIC CORRELATION
dc.subjectWHEAT
dc.titleTarget population of environments for wheat breeding in India: definition, prediction and genetic gains
dc.typeArticle
dc.typePublished Version
dc.coverageSwitzerland


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