Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de Santander

Bibliographic Details
Main Author: Guerrero, Luisa Fernanda Naranjo
Publication Date: 2023
Other Authors: Colorado, Nancy Rodríguez, Herrera, Luis Gabriel González
Format: Article
Language: eng
Source: Revista de Ciências Agroveterinárias (Online)
Download full: https://periodicos.udesc.br/index.php/agroveterinaria/article/view/23578
Summary: Crossbred cattle are used in dual-purpose systems to obtain meat and milk, becoming one of Colombia's systems with the greatest presence. However, studies characterizing productive variables in crossbred individuals are scarce, making it pertinent to conduct analyses evaluating their potential. The objective of this study was to phenotypically characterize a population of crossbred cattle from the state of Norte de Santander (Colombia) in terms of milk traits. Up to a maximum of 4 controls per female was obtained, and information on milk yield (MY), fat percentage (FP), protein percentage (PP), and somatic cell count (SCC) of first parity crossbred females was evaluated. The information was filtered and analyzed with the R program. The mean, standard deviation, and general variation coefficient were calculated for each trait and the means and deviations by non-genetic categorical factors. For the numeric factors, graphs of trends related to the response variables were made. Multiple correspondence analysis was performed, and the standardized residual values were estimated to recognize associations between levels of non-genetic factors and each trait. Mean values for controls were: 3.06±1.40 kg/day (MY), 3.21±0.40% (PP), 3.32±0.77% (FP), and 357±256x103 cells/ml (SCC). The non-genetic factors that showed the most significance were the pasture type, the control season, and the region. Thus, MY from 1.00 to 2.00 kg is associated with the levels of region 1 (R1) and summer 1 (S1), MY from 2.10 to 3.99 kg with region 2 (R2), group 1 (G1) and winter 1 (W1), MY from 4.00 to 8.30 kg with R1, group 3 (G3) and W1, PP from 2.45 to 2.99% there was association with G1, PP from 3.00 to 3.40% with group 2 (G2), PP from 3.41 to 6.04% with G3, FP of 1.94 to 3.00% is associated with R1, G3, S1, and S2, FP of 3.01 to 4.00% with R2, G1 and W1, FP from 4 to 4.82 % with region 3 (R3), G2, and S1, SCC from 8.00 to 100x103 cells/ml is associated with R1, R3, and S1, SCC of 101 to 499x103 cells/ml with R2, G1, and W1. Finally, SCC of 500 to 888x103 cells/ml is associated with R2 and W1. A variation of medium to high magnitude of the traits evaluated within the population was evidenced, revealing that no standards that allow unifying the management of animals within herds, which can affect the efficiency of dual-purpose systems.
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spelling Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de SantanderCaracterização fenotípica das características do leite em uma população de bovinos mestiços do estado de Norte de Santandermultiple correspondence analysisdual purposeanimal productionmilk yieldstandardized residuesanálise de correspondência múltipladupla aptidãoprodução animalprodução de leiteresíduos padronizadosCrossbred cattle are used in dual-purpose systems to obtain meat and milk, becoming one of Colombia's systems with the greatest presence. However, studies characterizing productive variables in crossbred individuals are scarce, making it pertinent to conduct analyses evaluating their potential. The objective of this study was to phenotypically characterize a population of crossbred cattle from the state of Norte de Santander (Colombia) in terms of milk traits. Up to a maximum of 4 controls per female was obtained, and information on milk yield (MY), fat percentage (FP), protein percentage (PP), and somatic cell count (SCC) of first parity crossbred females was evaluated. The information was filtered and analyzed with the R program. The mean, standard deviation, and general variation coefficient were calculated for each trait and the means and deviations by non-genetic categorical factors. For the numeric factors, graphs of trends related to the response variables were made. Multiple correspondence analysis was performed, and the standardized residual values were estimated to recognize associations between levels of non-genetic factors and each trait. Mean values for controls were: 3.06±1.40 kg/day (MY), 3.21±0.40% (PP), 3.32±0.77% (FP), and 357±256x103 cells/ml (SCC). The non-genetic factors that showed the most significance were the pasture type, the control season, and the region. Thus, MY from 1.00 to 2.00 kg is associated with the levels of region 1 (R1) and summer 1 (S1), MY from 2.10 to 3.99 kg with region 2 (R2), group 1 (G1) and winter 1 (W1), MY from 4.00 to 8.30 kg with R1, group 3 (G3) and W1, PP from 2.45 to 2.99% there was association with G1, PP from 3.00 to 3.40% with group 2 (G2), PP from 3.41 to 6.04% with G3, FP of 1.94 to 3.00% is associated with R1, G3, S1, and S2, FP of 3.01 to 4.00% with R2, G1 and W1, FP from 4 to 4.82 % with region 3 (R3), G2, and S1, SCC from 8.00 to 100x103 cells/ml is associated with R1, R3, and S1, SCC of 101 to 499x103 cells/ml with R2, G1, and W1. Finally, SCC of 500 to 888x103 cells/ml is associated with R2 and W1. A variation of medium to high magnitude of the traits evaluated within the population was evidenced, revealing that no standards that allow unifying the management of animals within herds, which can affect the efficiency of dual-purpose systems.O gado cruzado é utilizado nos sistemas de dupla aptidão procurando se obter carne e leite; este é o sistema produtivo bovino com maior representação na Colômbia. Estudos de caracterização de variáveis produtivas em indivíduos cruzados são escassos, tornando, pertinente realizar análises que avaliem o seu potencial. Objetivou-se caracterizar fenotipicamente uma população de gado cruzado no estado de Norte de Santander (Colômbia), considerando características relacionadas com a produção de leite. Foram obtidos até um máximo de 4 controles por fêmea e avaliadas informações sobre produção de leite (MY), porcentagem de gordura (FP), porcentagem de proteína (PP) e contagem de células somáticas (SCC) de fêmeas cruzadas de primeira ordem de parto. A informação foi depurada e analisada com o programa R. Foi calculada a média, desvio padrão e coeficiente de variação para cada característica de maneira geral e detalhando por fatores categóricos não genéticos. Para os fatores numéricos foram elaborados gráficos de tendencias relacionados com as variáveis resposta. Realizou-se uma análise de correspondência múltipla e estimados os valores dos resíduos padronizados para reconhecer níveis de fatores não genéticos com influência sobre as características. Os valores médios para os controles foram: 3.06±1.40 kg/dia (MY), 3.21±0.40% (PP), 3.32±0.77% (FP), e 357 ± 256x103 células/ml (SCC). Os fatores não genéticos que apresentaram maior influência foram o tipo de pastagem, a estação de controle e a região. Assim, a MY de 1,00 a 2,00 kg está associada aos níveis da região 1 (R1) e verão 1 (S1), a MY de 2,10 a 3,99 kg à região 2 (R2), grupo 1 (G1) e inverno 1 (W1), EM de 4,00 a 8,30 kg com R1, grupo 3 (G3) e W1, PP de 2,45 a 2,99% foi associado ao G1, PP de 3,00 a 3,40% ao grupo 2 (G2), PP de 3,41 a 6,04% ao G3 , FP de 1,94 a 3,00% está associado a R1, G3, S1 e S2, FP de 3,01 a 4,00% a R2, G1 e W1, FP de 4 a 4,82% à região 3 (R3), G2 e S1, SCC de 8,00 a 100x103 células/ml está associado a R1, R3 e S1, SCC de 101 a 499x103 células/ml a R2, G1 e W1. Finalmente, SCC de 500 a 888x103 células/ml estão associadas a R2 e W1. Foi evidenciada uma variação de média a alta magnitude das características avaliadas dentro da população, revelando que não existem padrões que permitam unificar o manejo dos animais dentro dos rebanhos, o que pode afetar a eficiência dos sistemas de dupla aptidão. Foi evidenciada uma variação de magnitude média a alta das características avaliadas dentro da população, revelando que não existem padrões para unificar o manejo dos animais dentro das fazendas, o que pode influenciar a eficiência dos sistemas de dupla aptidão.Universidade do Estado de Santa Catarina2023-12-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.udesc.br/index.php/agroveterinaria/article/view/2357810.5965/223811712242023645Revista de Ciências Agroveterinárias; Vol. 22 No. 4 (2023); 645-655Revista de Ciências Agroveterinárias; v. 22 n. 4 (2023); 645-6552238-1171reponame:Revista de Ciências Agroveterinárias (Online)instname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCenghttps://periodicos.udesc.br/index.php/agroveterinaria/article/view/23578/16535Copyright (c) 2023 Authors & Revista de Ciências Agroveterináriasinfo:eu-repo/semantics/openAccessGuerrero, Luisa Fernanda NaranjoColorado, Nancy RodríguezHerrera, Luis Gabriel González2024-02-29T12:10:40Zoai::article/23578Revistahttps://periodicos.udesc.br/index.php/agroveterinaria/PUBhttps://periodicos.udesc.br/index.php/agroveterinaria/oairca.cav@udesc.br | portal.periodicos@udesc.brhttps://doi.org/10.5965/223811712238-11711676-9732opendoar:2024-02-29T12:10:40Revista de Ciências Agroveterinárias (Online) - Universidade do Estado de Santa Catarina (UDESC)false
dc.title.none.fl_str_mv Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de Santander
Caracterização fenotípica das características do leite em uma população de bovinos mestiços do estado de Norte de Santander
title Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de Santander
spellingShingle Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de Santander
Guerrero, Luisa Fernanda Naranjo
multiple correspondence analysis
dual purpose
animal production
milk yield
standardized residues
análise de correspondência múltipla
dupla aptidão
produção animal
produção de leite
resíduos padronizados
title_short Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de Santander
title_full Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de Santander
title_fullStr Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de Santander
title_full_unstemmed Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de Santander
title_sort Phenotypic characterization for milk traits in crossbred cattle population from the state of Norte de Santander
author Guerrero, Luisa Fernanda Naranjo
author_facet Guerrero, Luisa Fernanda Naranjo
Colorado, Nancy Rodríguez
Herrera, Luis Gabriel González
author_role author
author2 Colorado, Nancy Rodríguez
Herrera, Luis Gabriel González
author2_role author
author
dc.contributor.author.fl_str_mv Guerrero, Luisa Fernanda Naranjo
Colorado, Nancy Rodríguez
Herrera, Luis Gabriel González
dc.subject.por.fl_str_mv multiple correspondence analysis
dual purpose
animal production
milk yield
standardized residues
análise de correspondência múltipla
dupla aptidão
produção animal
produção de leite
resíduos padronizados
topic multiple correspondence analysis
dual purpose
animal production
milk yield
standardized residues
análise de correspondência múltipla
dupla aptidão
produção animal
produção de leite
resíduos padronizados
description Crossbred cattle are used in dual-purpose systems to obtain meat and milk, becoming one of Colombia's systems with the greatest presence. However, studies characterizing productive variables in crossbred individuals are scarce, making it pertinent to conduct analyses evaluating their potential. The objective of this study was to phenotypically characterize a population of crossbred cattle from the state of Norte de Santander (Colombia) in terms of milk traits. Up to a maximum of 4 controls per female was obtained, and information on milk yield (MY), fat percentage (FP), protein percentage (PP), and somatic cell count (SCC) of first parity crossbred females was evaluated. The information was filtered and analyzed with the R program. The mean, standard deviation, and general variation coefficient were calculated for each trait and the means and deviations by non-genetic categorical factors. For the numeric factors, graphs of trends related to the response variables were made. Multiple correspondence analysis was performed, and the standardized residual values were estimated to recognize associations between levels of non-genetic factors and each trait. Mean values for controls were: 3.06±1.40 kg/day (MY), 3.21±0.40% (PP), 3.32±0.77% (FP), and 357±256x103 cells/ml (SCC). The non-genetic factors that showed the most significance were the pasture type, the control season, and the region. Thus, MY from 1.00 to 2.00 kg is associated with the levels of region 1 (R1) and summer 1 (S1), MY from 2.10 to 3.99 kg with region 2 (R2), group 1 (G1) and winter 1 (W1), MY from 4.00 to 8.30 kg with R1, group 3 (G3) and W1, PP from 2.45 to 2.99% there was association with G1, PP from 3.00 to 3.40% with group 2 (G2), PP from 3.41 to 6.04% with G3, FP of 1.94 to 3.00% is associated with R1, G3, S1, and S2, FP of 3.01 to 4.00% with R2, G1 and W1, FP from 4 to 4.82 % with region 3 (R3), G2, and S1, SCC from 8.00 to 100x103 cells/ml is associated with R1, R3, and S1, SCC of 101 to 499x103 cells/ml with R2, G1, and W1. Finally, SCC of 500 to 888x103 cells/ml is associated with R2 and W1. A variation of medium to high magnitude of the traits evaluated within the population was evidenced, revealing that no standards that allow unifying the management of animals within herds, which can affect the efficiency of dual-purpose systems.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.udesc.br/index.php/agroveterinaria/article/view/23578
10.5965/223811712242023645
url https://periodicos.udesc.br/index.php/agroveterinaria/article/view/23578
identifier_str_mv 10.5965/223811712242023645
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.udesc.br/index.php/agroveterinaria/article/view/23578/16535
dc.rights.driver.fl_str_mv Copyright (c) 2023 Authors & Revista de Ciências Agroveterinárias
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Authors & Revista de Ciências Agroveterinárias
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade do Estado de Santa Catarina
publisher.none.fl_str_mv Universidade do Estado de Santa Catarina
dc.source.none.fl_str_mv Revista de Ciências Agroveterinárias; Vol. 22 No. 4 (2023); 645-655
Revista de Ciências Agroveterinárias; v. 22 n. 4 (2023); 645-655
2238-1171
reponame:Revista de Ciências Agroveterinárias (Online)
instname:Universidade do Estado de Santa Catarina (UDESC)
instacron:UDESC
instname_str Universidade do Estado de Santa Catarina (UDESC)
instacron_str UDESC
institution UDESC
reponame_str Revista de Ciências Agroveterinárias (Online)
collection Revista de Ciências Agroveterinárias (Online)
repository.name.fl_str_mv Revista de Ciências Agroveterinárias (Online) - Universidade do Estado de Santa Catarina (UDESC)
repository.mail.fl_str_mv rca.cav@udesc.br | portal.periodicos@udesc.br
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