Genetic analysis of lactation curves in buffaloes, using Wood's model

Detalhes bibliográficos
Autor(a) principal: Marques de Carvalho, Ludmilla A.
Data de Publicação: 2020
Outros Autores: Moura, Guilherme F. de, Vieira, Dheynne A., Hurtado-Lugo, Naudin A., Aspilcueta-Borquis, Rusbel R. [UNESP], Gomide, Ana P. C., Tonhati, Humberto [UNESP], Oliveira, Henrique N. de [UNESP], Araujo-Neto, Francisco R. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5424/sjar/2020183-15461
http://hdl.handle.net/11449/209840
Resumo: Aim of study: To estimate the heritability and genetic correlations for lactation curve traits in buffaloes. Area of study: The buffalo cows were raised on properties located in the states of Sao Paulo, Ceara and Rio Grande do Norte, Brazil. Material and methods: The individual parameters of Wood's model (theta(1), theta(2), and theta(3)) were obtained using a non-linear mixed model. Peak yield (PY), peak time (PT) and lactation persistency (LP) were also calculated. These individual parameters were employed in multi-trait analysis with the milk yield (MY) using Bayesian inference. Main results: The heritability estimates were of low to moderate magnitudes, with values ranging from 0.156 (theta(2)) to 0.299 (PY). The estimates for genetic correlation between the Wood's parameters and MY were of low to high magnitude and ranged from -0.533 (theta(2) and MY) to 0.983 (PY and MY). Research highlights: The heritability estimates obtained indicate that the traits studied can be used in animal breeding programs.
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spelling Genetic analysis of lactation curves in buffaloes, using Wood's modelBubalus bubalismilk yieldpeak lactationpersistencyAim of study: To estimate the heritability and genetic correlations for lactation curve traits in buffaloes. Area of study: The buffalo cows were raised on properties located in the states of Sao Paulo, Ceara and Rio Grande do Norte, Brazil. Material and methods: The individual parameters of Wood's model (theta(1), theta(2), and theta(3)) were obtained using a non-linear mixed model. Peak yield (PY), peak time (PT) and lactation persistency (LP) were also calculated. These individual parameters were employed in multi-trait analysis with the milk yield (MY) using Bayesian inference. Main results: The heritability estimates were of low to moderate magnitudes, with values ranging from 0.156 (theta(2)) to 0.299 (PY). The estimates for genetic correlation between the Wood's parameters and MY were of low to high magnitude and ranged from -0.533 (theta(2) and MY) to 0.983 (PY and MY). Research highlights: The heritability estimates obtained indicate that the traits studied can be used in animal breeding programs.Inst Fed Educac Ciencia & Tecnol Goiano IF Goiano, Campus Rio Verde,Rodovia Sul Goiana,Km 01, BR-75901970 Rio Verde, Go, BrazilUniv Francisco Paula Santander Ocana, Sede Algodonal Ocana Norte Santander, Via Acolsure, Ocana 546552, ColombiaUniv Estadual Paulista, Dept Zootecnia, Fac Ciencias Agr & Vet, Via Acesso Prof Paulo Donato Castellane S-No, BR-14884900 Jaboticabal, SP, BrazilUniv Estadual Paulista, Dept Zootecnia, Fac Ciencias Agr & Vet, Via Acesso Prof Paulo Donato Castellane S-No, BR-14884900 Jaboticabal, SP, BrazilSpanish Natl Inst Agricultural & Food Research & TechnoloInst Fed Educac Ciencia & Tecnol Goiano IF GoianoUniv Francisco Paula Santander OcanaUniversidade Estadual Paulista (Unesp)Marques de Carvalho, Ludmilla A.Moura, Guilherme F. deVieira, Dheynne A.Hurtado-Lugo, Naudin A.Aspilcueta-Borquis, Rusbel R. [UNESP]Gomide, Ana P. C.Tonhati, Humberto [UNESP]Oliveira, Henrique N. de [UNESP]Araujo-Neto, Francisco R. de2021-06-25T12:31:03Z2021-06-25T12:31:03Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article6http://dx.doi.org/10.5424/sjar/2020183-15461Spanish Journal Of Agricultural Research. Madrid: Spanish Natl Inst Agricultural & Food Research & Technolo, v. 18, n. 3, 6 p., 2020.1695-971Xhttp://hdl.handle.net/11449/20984010.5424/sjar/2020183-15461WOS:000604321400008Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSpanish Journal Of Agricultural Researchinfo:eu-repo/semantics/openAccess2024-06-07T18:43:36Zoai:repositorio.unesp.br:11449/209840Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:59:38.654780Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Genetic analysis of lactation curves in buffaloes, using Wood's model
title Genetic analysis of lactation curves in buffaloes, using Wood's model
spellingShingle Genetic analysis of lactation curves in buffaloes, using Wood's model
Marques de Carvalho, Ludmilla A.
Bubalus bubalis
milk yield
peak lactation
persistency
title_short Genetic analysis of lactation curves in buffaloes, using Wood's model
title_full Genetic analysis of lactation curves in buffaloes, using Wood's model
title_fullStr Genetic analysis of lactation curves in buffaloes, using Wood's model
title_full_unstemmed Genetic analysis of lactation curves in buffaloes, using Wood's model
title_sort Genetic analysis of lactation curves in buffaloes, using Wood's model
author Marques de Carvalho, Ludmilla A.
author_facet Marques de Carvalho, Ludmilla A.
Moura, Guilherme F. de
Vieira, Dheynne A.
Hurtado-Lugo, Naudin A.
Aspilcueta-Borquis, Rusbel R. [UNESP]
Gomide, Ana P. C.
Tonhati, Humberto [UNESP]
Oliveira, Henrique N. de [UNESP]
Araujo-Neto, Francisco R. de
author_role author
author2 Moura, Guilherme F. de
Vieira, Dheynne A.
Hurtado-Lugo, Naudin A.
Aspilcueta-Borquis, Rusbel R. [UNESP]
Gomide, Ana P. C.
Tonhati, Humberto [UNESP]
Oliveira, Henrique N. de [UNESP]
Araujo-Neto, Francisco R. de
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Inst Fed Educac Ciencia & Tecnol Goiano IF Goiano
Univ Francisco Paula Santander Ocana
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Marques de Carvalho, Ludmilla A.
Moura, Guilherme F. de
Vieira, Dheynne A.
Hurtado-Lugo, Naudin A.
Aspilcueta-Borquis, Rusbel R. [UNESP]
Gomide, Ana P. C.
Tonhati, Humberto [UNESP]
Oliveira, Henrique N. de [UNESP]
Araujo-Neto, Francisco R. de
dc.subject.por.fl_str_mv Bubalus bubalis
milk yield
peak lactation
persistency
topic Bubalus bubalis
milk yield
peak lactation
persistency
description Aim of study: To estimate the heritability and genetic correlations for lactation curve traits in buffaloes. Area of study: The buffalo cows were raised on properties located in the states of Sao Paulo, Ceara and Rio Grande do Norte, Brazil. Material and methods: The individual parameters of Wood's model (theta(1), theta(2), and theta(3)) were obtained using a non-linear mixed model. Peak yield (PY), peak time (PT) and lactation persistency (LP) were also calculated. These individual parameters were employed in multi-trait analysis with the milk yield (MY) using Bayesian inference. Main results: The heritability estimates were of low to moderate magnitudes, with values ranging from 0.156 (theta(2)) to 0.299 (PY). The estimates for genetic correlation between the Wood's parameters and MY were of low to high magnitude and ranged from -0.533 (theta(2) and MY) to 0.983 (PY and MY). Research highlights: The heritability estimates obtained indicate that the traits studied can be used in animal breeding programs.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2021-06-25T12:31:03Z
2021-06-25T12:31:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5424/sjar/2020183-15461
Spanish Journal Of Agricultural Research. Madrid: Spanish Natl Inst Agricultural & Food Research & Technolo, v. 18, n. 3, 6 p., 2020.
1695-971X
http://hdl.handle.net/11449/209840
10.5424/sjar/2020183-15461
WOS:000604321400008
url http://dx.doi.org/10.5424/sjar/2020183-15461
http://hdl.handle.net/11449/209840
identifier_str_mv Spanish Journal Of Agricultural Research. Madrid: Spanish Natl Inst Agricultural & Food Research & Technolo, v. 18, n. 3, 6 p., 2020.
1695-971X
10.5424/sjar/2020183-15461
WOS:000604321400008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Spanish Journal Of Agricultural Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
dc.publisher.none.fl_str_mv Spanish Natl Inst Agricultural & Food Research & Technolo
publisher.none.fl_str_mv Spanish Natl Inst Agricultural & Food Research & Technolo
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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