Genomic study of the resilience of buffalo cows to a negative energy balance

dc.contributor.authorde Araujo Neto, Francisco Ribeiro
dc.contributor.authordos Santos, Jessica Cristina Gonçalves [UNESP]
dc.contributor.authorda Silva Arce, Cherlynn Daniela [UNESP]
dc.contributor.authorBorquis, Rusbel Raul Ascpilcueta
dc.contributor.authordos Santos, Daniel Jordan Abreu
dc.contributor.authorGuimarães, Katia Cylene
dc.contributor.authordo Nascimento, André Vieira [UNESP]
dc.contributor.authorde Oliveira, Henrique Nunes [UNESP]
dc.contributor.authorTonhati, Humberto [UNESP]
dc.contributor.institutionCiência e Tecnologia Goiano - IFGoiano
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Tecnologica Federal do Paraná – UTFPR
dc.contributor.institutionUniversity of New England
dc.date.accessioned2022-04-29T08:38:48Z
dc.date.available2022-04-29T08:38:48Z
dc.date.issued2022-01-01
dc.description.abstractThe research article was carried out with the objective of studying the genetic variation on the resilience of buffaloes to negative energy balance—NEB (measured by changes in body weight in early lactation)—as well as investigating genomic regions of interest for this trait. A model of reaction norms was used, considering milk production as the trait to be analyzed and solutions of the contemporary groups to weight changes as environmental gradient. In this methodology, the genetic value of the slope represents the measure of resilience of the animals. After the estimation step, a genome-wide association analysis was performed for the slope of the reaction norms model, to obtain a list of windows and associated genes. The heritability estimates for milk production over the resilience gradient ranged from 0.13 to 0.28, with lower values in the intermediate environmental groups. Regarding the productive resilience of dairy buffalo cows to NEB, the genomic windows with the highest contribution to the genetic variance were detected on chromosomes BBU 1, 2, 3, 4, 9, 12, 19, and 21. A functional analysis of the genes described in the selected windows indicated association with metabolic routes related to growth and immunity of the animals, with an emphasis on the STAT6 gene. The results presented indicate that there is for this trait genetic variation to be used as selection criteria, in addition to genomic regions that can increase the precision of the selection.en
dc.description.affiliationInstituto Federal de Educação Ciência e Tecnologia Goiano - IFGoiano, Goias
dc.description.affiliationDepartament of Animal Science Universidade Estadual Paulista “Julio de Mesquita” – UNESP, Jaboticabal
dc.description.affiliationUniversidade Tecnologica Federal do Paraná – UTFPR, Paraná
dc.description.affiliationAnimal Genetics and Breeding Unit University of New England
dc.description.affiliationUnespDepartament of Animal Science Universidade Estadual Paulista “Julio de Mesquita” – UNESP, Jaboticabal
dc.identifierhttp://dx.doi.org/10.1007/s13353-021-00680-x
dc.identifier.citationJournal of Applied Genetics.
dc.identifier.doi10.1007/s13353-021-00680-x
dc.identifier.issn2190-3883
dc.identifier.issn1234-1983
dc.identifier.scopus2-s2.0-85123496651
dc.identifier.urihttp://hdl.handle.net/11449/230273
dc.language.isoeng
dc.relation.ispartofJournal of Applied Genetics
dc.sourceScopus
dc.subjectBubalus bubalis
dc.subjectGWAS
dc.subjectProduction efficiency
dc.subjectssGBLUP
dc.titleGenomic study of the resilience of buffalo cows to a negative energy balanceen
dc.typeArtigo
unesp.author.orcid0000-0003-1064-5614[1]
unesp.author.orcid0000-0002-9230-9245[2]
unesp.author.orcid0000-0002-9836-064X[3]
unesp.author.orcid0000-0001-9393-3202[4]
unesp.author.orcid0000-0002-7062-3372[5]
unesp.author.orcid0000-0001-8821-9709[6]
unesp.author.orcid0000-0003-3009-5621[7]
unesp.author.orcid0000-0002-3181-1223[8]
unesp.author.orcid0000-0003-4714-3167[9]
unesp.departmentZootecnia - FCAVpt

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