Linear selection indices in modern plant breeding

Genetic improvement programs of plants and livestock are aimed at maximizing the rate of increase of some merit function (e.g., economic value of a wheat line) that is expected to have a genetic basis. Typically, candidates for selection with the highest merit are kept as parents of the subsequent g...

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Detalles Bibliográficos
Autores: Cerón-Rojas, J.J., Crossa, J.
Tipo de recurso: libro
Estado:Versión publicada
Fecha de publicación:2018
País:México
Institución:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/19669
Acceso en línea:https://hdl.handle.net/10883/19669
Access Level:acceso abierto
Palabra clave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
PLANT BREEDING
GENETIC IMPROVEMENT
PHENOTYPES
SELECTION INDEX
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spelling Linear selection indices in modern plant breedingCerón-Rojas, J.J.Crossa, J.AGRICULTURAL SCIENCES AND BIOTECHNOLOGYPLANT BREEDINGGENETIC IMPROVEMENTPHENOTYPESSELECTION INDEXGenetic improvement programs of plants and livestock are aimed at maximizing the rate of increase of some merit function (e.g., economic value of a wheat line) that is expected to have a genetic basis. Typically, candidates for selection with the highest merit are kept as parents of the subsequent generation and those with the lowest merit are eliminated (“culled”) or used less intensively. There are at least two key questions associated with this endeavor: how merit is defined and how it is assessed. Merit can be represented by a linear or nonlinear function of genetic values for several traits regarded as important from the perspective of producing economic returns or benefits. The genetic component of merit cannot be observed; thus, it must be inferred from data on the candidates for selection, or on their relatives. Hence, and apart from the issue of specifying economic values (an area requiring expertise beyond animal and plant breeding), the problem of inferring merit is a largely statistical one. This book represents a substantial compilation of work done in an area known as “selection indices” in animal and plant breeding. Selection indices were originally developed by Smith (1936) in plant breeding and by Hazel (1943) in animal breeding to address the selection of plants or animals scored for multiple attributes. In agriculture, the breeding worth (or net genetic merit) of a candidate for selection depends on several traits.xxii, 256 pagesSpringer2018-11-06T18:42:14Z2018-11-06T18:42:14Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPDFapplication/pdf978-3-319-91222-6 (Print) 978-3-319-91223-3 (Online)https://hdl.handle.net/10883/1966910.1007/978-3-319-91223-3reponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYTinstname:Centro Internacional de Mejoramiento de Maíz y Trigoinstacron:CIMMYTEnglishSwitzerlandCIMMYT 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.Open Accessinfo:eu-repo/semantics/openAccessoai:repository.cimmyt.org:10883/196692024-10-11T19:56:28Z
dc.title.none.fl_str_mv Linear selection indices in modern plant breeding
title Linear selection indices in modern plant breeding
spellingShingle Linear selection indices in modern plant breeding
Cerón-Rojas, J.J.
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
PLANT BREEDING
GENETIC IMPROVEMENT
PHENOTYPES
SELECTION INDEX
title_short Linear selection indices in modern plant breeding
title_full Linear selection indices in modern plant breeding
title_fullStr Linear selection indices in modern plant breeding
title_full_unstemmed Linear selection indices in modern plant breeding
title_sort Linear selection indices in modern plant breeding
dc.creator.none.fl_str_mv Cerón-Rojas, J.J.
Crossa, J.
author Cerón-Rojas, J.J.
author_facet Cerón-Rojas, J.J.
Crossa, J.
author_role author
author2 Crossa, J.
author2_role author
dc.subject.none.fl_str_mv AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
PLANT BREEDING
GENETIC IMPROVEMENT
PHENOTYPES
SELECTION INDEX
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
PLANT BREEDING
GENETIC IMPROVEMENT
PHENOTYPES
SELECTION INDEX
description Genetic improvement programs of plants and livestock are aimed at maximizing the rate of increase of some merit function (e.g., economic value of a wheat line) that is expected to have a genetic basis. Typically, candidates for selection with the highest merit are kept as parents of the subsequent generation and those with the lowest merit are eliminated (“culled”) or used less intensively. There are at least two key questions associated with this endeavor: how merit is defined and how it is assessed. Merit can be represented by a linear or nonlinear function of genetic values for several traits regarded as important from the perspective of producing economic returns or benefits. The genetic component of merit cannot be observed; thus, it must be inferred from data on the candidates for selection, or on their relatives. Hence, and apart from the issue of specifying economic values (an area requiring expertise beyond animal and plant breeding), the problem of inferring merit is a largely statistical one. This book represents a substantial compilation of work done in an area known as “selection indices” in animal and plant breeding. Selection indices were originally developed by Smith (1936) in plant breeding and by Hazel (1943) in animal breeding to address the selection of plants or animals scored for multiple attributes. In agriculture, the breeding worth (or net genetic merit) of a candidate for selection depends on several traits.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-06T18:42:14Z
2018-11-06T18:42:14Z
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.none.fl_str_mv 978-3-319-91222-6 (Print) 978-3-319-91223-3 (Online)
https://hdl.handle.net/10883/19669
10.1007/978-3-319-91223-3
identifier_str_mv 978-3-319-91222-6 (Print) 978-3-319-91223-3 (Online)
10.1007/978-3-319-91223-3
url https://hdl.handle.net/10883/19669
dc.language.none.fl_str_mv English
language_invalid_str_mv English
dc.rights.none.fl_str_mv Open Access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Open Access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv PDF
application/pdf
dc.coverage.none.fl_str_mv Switzerland
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
instname:Centro Internacional de Mejoramiento de Maíz y Trigo
instacron:CIMMYT
instname_str Centro Internacional de Mejoramiento de Maíz y Trigo
instacron_str CIMMYT
institution CIMMYT
reponame_str Repositorio Institucional de Publicaciones Multimedia del CIMMYT
collection Repositorio Institucional de Publicaciones Multimedia del CIMMYT
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