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dc.contributor.author
Cendoya, María Gabriela
dc.contributor.author
Grondona, Martín
dc.contributor.author
Zambelli, Andres Daniel
dc.date.available
2025-10-08T10:39:45Z
dc.date.issued
2025-06
dc.identifier.citation
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
dc.identifier.issn
2764-5290
dc.identifier.uri
http://hdl.handle.net/11336/273088
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Universidade Federal de Lavras
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Genetic similarity
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Genetic distance
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Deep genotyping
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Molecular breeding
dc.subject.classification
Agricultura
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Agricultura, Silvicultura y Pesca
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
Impact and interpretation of different measures of genetic diversity in inbred lines applied to crop breeding
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2025-10-08T10:14:27Z
dc.journal.volume
43
dc.journal.number
3
dc.journal.pagination
1-15
dc.journal.pais
Brasil
dc.journal.ciudad
Lavras
dc.description.fil
Fil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
dc.description.fil
Fil: Grondona, Martín. Advanta Semillas S.A.I.C.; Argentina
dc.description.fil
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
dc.journal.title
Brazilian Journal of Biometrics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.28951/bjb.v43i3.787
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://biometria.ufla.br/index.php/BBJ/article/view/787
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