Chapter 3. Defining target wheat breeding environments

dc.creatorCrespo Herrera, L.A.
dc.creatorCrossa, J.
dc.creatorVargas, M.
dc.creatorBraun, H.J.
dc.date2022-09-30T00:20:13Z
dc.date2022-09-30T00:20:13Z
dc.date2022
dc.date.accessioned2023-07-17T20:09:31Z
dc.date.available2023-07-17T20:09:31Z
dc.identifier978-3-030-90672-6
dc.identifier978-3-030-90673-3 (Online)
dc.identifierhttps://hdl.handle.net/10883/22210
dc.identifier10.1007/978-3-030-90673-3_3
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7513965
dc.descriptionThe main objective of a plant breeding program is to deliver superior germplasm for farmers in a defined set of environments, or a target population of environments (TPE). Historically, CIMMYT has characterized the environments in which the developed germplasm will be grown. The main factors that determine when and where a wheat variety can be grown are flowering time, water availability and the incidence of pests and diseases. A TPE consists of many (population) environments and future years or seasons, that share common variation in the farmers’ fields, it can also be seen as a variable group of future production environments. TPEs can be characterized by climatic, soil and hydrological features, as well as socioeconomic aspects. Whereas the selection environments (SE) are the environments where the breeder does the selection of the lines. The SE are identified for predicting the performance in the TPE, but the SE may not belong to the TPE. The utilization of advanced statistical methods allows the identification of GEI to obtain higher precision when estimating the genetic effects. Multi-environmental testing (MET) is a fundamental strategy for CIMMYT to develop stable high grain yielding germplasm in countries with developing economies. An adequate MET strategy allows the evaluation of germplasm in stress hotspots and the identification of representative and correlated sites; thus, breeders can make better and targeted decisions in terms of crossing, selection and logistic operations.
dc.description31–45
dc.languageEnglish
dc.publisherSpringer Nature
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.source978-3-030-90672-6
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectMega-Environments
dc.subjectTarget Population of Environments
dc.subjectSelection Environments
dc.subjectENVIRONMENT
dc.subjectGENOTYPE ENVIRONMENT INTERACTION
dc.subjectWHEAT
dc.subjectBREEDING
dc.titleChapter 3. Defining target wheat breeding environments
dc.typeBook Chapter
dc.typePublished Version
dc.coverageSwitzerland


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