Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding

Autores
Cendoya, María Gabriela; Grondona, Martín; Zambelli, Andres Daniel
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The application of molecular genetics in crop breeding has grown significantly, largely due to the success of molecular breeding, which utilizes genotype-based approaches to achieve substantial genetic improvements with favorable cost-effectiveness. A successful molecular breeding strategy involves thorough genotyping, enabling detailed genetic characterization of target germplasm, including genetic diversity analysis, relationships, and population structure. Genotype-based methods, favored for their stability and independence from environmental factors, are preferred over phenotype-based approaches. Genetic diversity is assessed by comparing individual genotypes within and across populations, using statistical methods to calculate genetic distances or similarities. This study focuses on establishing a unified framework to compare and evaluate common similarity measures and their relation to distance metrics, specifically in diploid inbred lines genotyped with biallelic SNPs, for use in genetic improvement efforts.
Fil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Grondona, Martín. Advanta Semillas S.A.I.C.; Argentina
Fil: Zambelli, Andres Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
Materia
Genetic similarity
Genetic distance
Deep genotyping
Molecular breeding
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/273088
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breedingCendoya, María GabrielaGrondona, MartínZambelli, Andres DanielGenetic similarityGenetic distanceDeep genotypingMolecular breedinghttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4The application of molecular genetics in crop breeding has grown significantly, largely due to the success of molecular breeding, which utilizes genotype-based approaches to achieve substantial genetic improvements with favorable cost-effectiveness. A successful molecular breeding strategy involves thorough genotyping, enabling detailed genetic characterization of target germplasm, including genetic diversity analysis, relationships, and population structure. Genotype-based methods, favored for their stability and independence from environmental factors, are preferred over phenotype-based approaches. Genetic diversity is assessed by comparing individual genotypes within and across populations, using statistical methods to calculate genetic distances or similarities. This study focuses on establishing a unified framework to compare and evaluate common similarity measures and their relation to distance metrics, specifically in diploid inbred lines genotyped with biallelic SNPs, for use in genetic improvement efforts.Fil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Grondona, Martín. Advanta Semillas S.A.I.C.; ArgentinaFil: Zambelli, Andres Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; ArgentinaUniversidade Federal de Lavras2025-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/273088Cendoya, María Gabriela; Grondona, Martín; Zambelli, Andres Daniel; Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding; Universidade Federal de Lavras; Brazilian Journal of Biometrics; 43; 3; 6-2025; 1-152764-5290CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.28951/bjb.v43i3.787info:eu-repo/semantics/altIdentifier/url/https://biometria.ufla.br/index.php/BBJ/article/view/787info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:22:49Zoai:ri.conicet.gov.ar:11336/273088instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:22:49.852CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding
title Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding
spellingShingle Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding
Cendoya, María Gabriela
Genetic similarity
Genetic distance
Deep genotyping
Molecular breeding
title_short Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding
title_full Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding
title_fullStr Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding
title_full_unstemmed Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding
title_sort Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding
dc.creator.none.fl_str_mv Cendoya, María Gabriela
Grondona, Martín
Zambelli, Andres Daniel
author Cendoya, María Gabriela
author_facet Cendoya, María Gabriela
Grondona, Martín
Zambelli, Andres Daniel
author_role author
author2 Grondona, Martín
Zambelli, Andres Daniel
author2_role author
author
dc.subject.none.fl_str_mv Genetic similarity
Genetic distance
Deep genotyping
Molecular breeding
topic Genetic similarity
Genetic distance
Deep genotyping
Molecular breeding
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv The application of molecular genetics in crop breeding has grown significantly, largely due to the success of molecular breeding, which utilizes genotype-based approaches to achieve substantial genetic improvements with favorable cost-effectiveness. A successful molecular breeding strategy involves thorough genotyping, enabling detailed genetic characterization of target germplasm, including genetic diversity analysis, relationships, and population structure. Genotype-based methods, favored for their stability and independence from environmental factors, are preferred over phenotype-based approaches. Genetic diversity is assessed by comparing individual genotypes within and across populations, using statistical methods to calculate genetic distances or similarities. This study focuses on establishing a unified framework to compare and evaluate common similarity measures and their relation to distance metrics, specifically in diploid inbred lines genotyped with biallelic SNPs, for use in genetic improvement efforts.
Fil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Grondona, Martín. Advanta Semillas S.A.I.C.; Argentina
Fil: Zambelli, Andres Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
description The application of molecular genetics in crop breeding has grown significantly, largely due to the success of molecular breeding, which utilizes genotype-based approaches to achieve substantial genetic improvements with favorable cost-effectiveness. A successful molecular breeding strategy involves thorough genotyping, enabling detailed genetic characterization of target germplasm, including genetic diversity analysis, relationships, and population structure. Genotype-based methods, favored for their stability and independence from environmental factors, are preferred over phenotype-based approaches. Genetic diversity is assessed by comparing individual genotypes within and across populations, using statistical methods to calculate genetic distances or similarities. This study focuses on establishing a unified framework to compare and evaluate common similarity measures and their relation to distance metrics, specifically in diploid inbred lines genotyped with biallelic SNPs, for use in genetic improvement efforts.
publishDate 2025
dc.date.none.fl_str_mv 2025-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/273088
Cendoya, María Gabriela; Grondona, Martín; Zambelli, Andres Daniel; Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding; Universidade Federal de Lavras; Brazilian Journal of Biometrics; 43; 3; 6-2025; 1-15
2764-5290
CONICET Digital
CONICET
url http://hdl.handle.net/11336/273088
identifier_str_mv Cendoya, María Gabriela; Grondona, Martín; Zambelli, Andres Daniel; Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding; Universidade Federal de Lavras; Brazilian Journal of Biometrics; 43; 3; 6-2025; 1-15
2764-5290
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.28951/bjb.v43i3.787
info:eu-repo/semantics/altIdentifier/url/https://biometria.ufla.br/index.php/BBJ/article/view/787
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras
publisher.none.fl_str_mv Universidade Federal de Lavras
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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