Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Semina. Ciências Agrárias (Online) |
Texto Completo: | https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36592 |
Resumo: | The aim of this study was to assess the productive and reproductive performance of Holstein cows grown in the Agreste region of Pernambuco. Dairy records were collected from three farms located in the Agreste region of the state of Pernambuco each month between 2007 and 2017. According to the National Institute of Meteorology the average annual temperature during the collection period was 24.21 ºC, mean annual rainfall was 551.7 mm and mean annual relative humidity was 75.92%. A total of 42,677 data points concerning milk production, milk components and somatic cell score (SCS), as well as other zootechnical information regarding reproductive management, are analyzed herein. In order to assess cow productive performance, lactation curve estimates were performed according to calving order by applying the Wood model, while milk production, milk components and SCS were analyzed according to calving order and farm, season, calving year and the interaction between calving order and season. Regarding reproductive evaluations, farm effects on indices such as age at first calving (IPP), calving interval (IP) and service period (PS) were evaluated. Data were processed using analysis of variance SAS PROC GLM commands, while PROC NLIN commands were used to estimate the curves. Significant (p < 0.05) farm, calving order, season, calving year and interaction effects on production values, milk composition and SCS were noted. Higher amounts of certain milk components (lactose, total solids and non-fat solids) were observed in primiparous cows. Multiparous cows were the most productive in relation to the amount of milk produced milk (34.15 kg/milk/day) and, consequently, presented the highest SCS (4.48). The Wood model showed a good fit of lactation curve characterized by an ascending phase until peaking and a descending phase following the peak. Regarding the assessed reproductive indices, a significant effect (p < 0.05) of farm was observed on IP and PS. The parameters calving order, farm, season, year of calving, interaction between calving order and season, as well as the effect of farm on reproductive indices (IP and PS) are the most important factors in the evaluation of production and milk quality of cows raised in semiarid environments. |
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Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017Desempenho produtivo e reprodutivo de vacas Holandesas no Agreste de Pernambuco, no período de 2007 a 2017Dairy cattleDairy controlLactation curveMilk qualityZootechnical indices.Bovinocultura leiteiraControle leiteiroCurva de lactaçãoQualidade de leiteÍndices zootécnicos.The aim of this study was to assess the productive and reproductive performance of Holstein cows grown in the Agreste region of Pernambuco. Dairy records were collected from three farms located in the Agreste region of the state of Pernambuco each month between 2007 and 2017. According to the National Institute of Meteorology the average annual temperature during the collection period was 24.21 ºC, mean annual rainfall was 551.7 mm and mean annual relative humidity was 75.92%. A total of 42,677 data points concerning milk production, milk components and somatic cell score (SCS), as well as other zootechnical information regarding reproductive management, are analyzed herein. In order to assess cow productive performance, lactation curve estimates were performed according to calving order by applying the Wood model, while milk production, milk components and SCS were analyzed according to calving order and farm, season, calving year and the interaction between calving order and season. Regarding reproductive evaluations, farm effects on indices such as age at first calving (IPP), calving interval (IP) and service period (PS) were evaluated. Data were processed using analysis of variance SAS PROC GLM commands, while PROC NLIN commands were used to estimate the curves. Significant (p < 0.05) farm, calving order, season, calving year and interaction effects on production values, milk composition and SCS were noted. Higher amounts of certain milk components (lactose, total solids and non-fat solids) were observed in primiparous cows. Multiparous cows were the most productive in relation to the amount of milk produced milk (34.15 kg/milk/day) and, consequently, presented the highest SCS (4.48). The Wood model showed a good fit of lactation curve characterized by an ascending phase until peaking and a descending phase following the peak. Regarding the assessed reproductive indices, a significant effect (p < 0.05) of farm was observed on IP and PS. The parameters calving order, farm, season, year of calving, interaction between calving order and season, as well as the effect of farm on reproductive indices (IP and PS) are the most important factors in the evaluation of production and milk quality of cows raised in semiarid environments.Objetivou-se com este trabalho avaliar o desempenho produtivo e reprodutivo de vacas holandesas criadas no Agreste de Pernambuco. Foram analisados registros de controle leiteiro obtidos em três fazendas localizadas na região Agreste do estado de Pernambuco, realizados mensalmente entre os anos de 2007 e 2017. As características climáticas, de acordo com o Instituto Nacional de Meteorologia, para o período de coleta foram: temperatura média anual de 24,21ºC; precipitação média anual de 551,7 mm e umidade relativa média anual de 75,92%. Um total de 42.677 informações sobre produção de leite, componentes do leite e escore de células somáticas (ECS) e outras informações de controle zootécnico referente ao manejo reprodutivo foram analisados neste estudo. Para avaliar o desempenho produtivo das vacas, foram feitas estimativas das curvas de lactação em função da ordem de parto utilizando o modelo de Wood e a produção de leite, componentes do leite e ECS foram analisados em função da ordem de parto e quanto aos efeitos de fazenda, estação do ano e ano de parto e a interação ordem de parto e estação do ano. Para avaliação reprodutiva, foi avaliado o efeito da fazenda sobre os índices como idade ao primeiro parto (IPP), intervalo de parto (IP) e período de serviço (PS). Os dados foram processados usando os comandos do SAS, PROC GLM para análise de variância e PROC NLIN para estimativa das curvas. Houve efeito significativo (p < 0,05) de fazenda, ordem de parto, estação do ano, ano de parto e da interação analisada, sobre os valores de produção, composição do leite e ECS. Os maiores teores de alguns componentes (lactose, sólidos totais e sólidos não gordurosos) do leite foram observados nas primíparas. As vacas multíparas foram as mais produtivas em relação à quantidade de leite produzido diariamente (34,15 kg/leite/dia) e consequentemente, apresentaram maior ECS (4,48). O modelo de Wood apresentou bom ajuste aos dados, apresentando uma curva caracterizada por uma fase ascendente até o pico e uma fase descendente posterior ao pico. Para os índices reprodutivos, observou-se efeito significativo (p < 0,05) de fazenda sobre o IP e PS. Os parâmetros ordem de parto, fazenda, estação do ano, ano de parto, interação entre ordem de parto e estação do ano, assim como o efeito de fazenda nos índices reprodutivos (IP e PS) são os fatores mais importantes na avaliação da produção e qualidade do leite de vacas de alta produção criadas no semiárido.UEL2020-03-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Históricaapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/3659210.5433/1679-0359.2020v41n2p571Semina: Ciências Agrárias; Vol. 41 No. 2 (2020); 571-586Semina: Ciências Agrárias; v. 41 n. 2 (2020); 571-5861679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36592/26873Copyright (c) 2020 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessAbreu, Bueno da SilvaBarbosa, Severino Benone PaesSilva, Elizabete Cristina daSantoro, Kleber RégisBatista, Ângela Maria VieiraMartinez, Rafael Leonardo VargasValença, Luciana MartinsJatobá, Raquel Bezerra2022-10-10T13:41:29Zoai:ojs.pkp.sfu.ca:article/36592Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-10T13:41:29Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017 Desempenho produtivo e reprodutivo de vacas Holandesas no Agreste de Pernambuco, no período de 2007 a 2017 |
title |
Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017 |
spellingShingle |
Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017 Abreu, Bueno da Silva Dairy cattle Dairy control Lactation curve Milk quality Zootechnical indices. Bovinocultura leiteira Controle leiteiro Curva de lactação Qualidade de leite Índices zootécnicos. |
title_short |
Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017 |
title_full |
Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017 |
title_fullStr |
Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017 |
title_full_unstemmed |
Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017 |
title_sort |
Productive and reproductive performance of Holstein cows in Agreste, Pernambuco, from 2007 to 2017 |
author |
Abreu, Bueno da Silva |
author_facet |
Abreu, Bueno da Silva Barbosa, Severino Benone Paes Silva, Elizabete Cristina da Santoro, Kleber Régis Batista, Ângela Maria Vieira Martinez, Rafael Leonardo Vargas Valença, Luciana Martins Jatobá, Raquel Bezerra |
author_role |
author |
author2 |
Barbosa, Severino Benone Paes Silva, Elizabete Cristina da Santoro, Kleber Régis Batista, Ângela Maria Vieira Martinez, Rafael Leonardo Vargas Valença, Luciana Martins Jatobá, Raquel Bezerra |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Abreu, Bueno da Silva Barbosa, Severino Benone Paes Silva, Elizabete Cristina da Santoro, Kleber Régis Batista, Ângela Maria Vieira Martinez, Rafael Leonardo Vargas Valença, Luciana Martins Jatobá, Raquel Bezerra |
dc.subject.por.fl_str_mv |
Dairy cattle Dairy control Lactation curve Milk quality Zootechnical indices. Bovinocultura leiteira Controle leiteiro Curva de lactação Qualidade de leite Índices zootécnicos. |
topic |
Dairy cattle Dairy control Lactation curve Milk quality Zootechnical indices. Bovinocultura leiteira Controle leiteiro Curva de lactação Qualidade de leite Índices zootécnicos. |
description |
The aim of this study was to assess the productive and reproductive performance of Holstein cows grown in the Agreste region of Pernambuco. Dairy records were collected from three farms located in the Agreste region of the state of Pernambuco each month between 2007 and 2017. According to the National Institute of Meteorology the average annual temperature during the collection period was 24.21 ºC, mean annual rainfall was 551.7 mm and mean annual relative humidity was 75.92%. A total of 42,677 data points concerning milk production, milk components and somatic cell score (SCS), as well as other zootechnical information regarding reproductive management, are analyzed herein. In order to assess cow productive performance, lactation curve estimates were performed according to calving order by applying the Wood model, while milk production, milk components and SCS were analyzed according to calving order and farm, season, calving year and the interaction between calving order and season. Regarding reproductive evaluations, farm effects on indices such as age at first calving (IPP), calving interval (IP) and service period (PS) were evaluated. Data were processed using analysis of variance SAS PROC GLM commands, while PROC NLIN commands were used to estimate the curves. Significant (p < 0.05) farm, calving order, season, calving year and interaction effects on production values, milk composition and SCS were noted. Higher amounts of certain milk components (lactose, total solids and non-fat solids) were observed in primiparous cows. Multiparous cows were the most productive in relation to the amount of milk produced milk (34.15 kg/milk/day) and, consequently, presented the highest SCS (4.48). The Wood model showed a good fit of lactation curve characterized by an ascending phase until peaking and a descending phase following the peak. Regarding the assessed reproductive indices, a significant effect (p < 0.05) of farm was observed on IP and PS. The parameters calving order, farm, season, year of calving, interaction between calving order and season, as well as the effect of farm on reproductive indices (IP and PS) are the most important factors in the evaluation of production and milk quality of cows raised in semiarid environments. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pesquisa Histórica |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36592 10.5433/1679-0359.2020v41n2p571 |
url |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36592 |
identifier_str_mv |
10.5433/1679-0359.2020v41n2p571 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36592/26873 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UEL |
publisher.none.fl_str_mv |
UEL |
dc.source.none.fl_str_mv |
Semina: Ciências Agrárias; Vol. 41 No. 2 (2020); 571-586 Semina: Ciências Agrárias; v. 41 n. 2 (2020); 571-586 1679-0359 1676-546X reponame:Semina. Ciências Agrárias (Online) instname:Universidade Estadual de Londrina (UEL) instacron:UEL |
instname_str |
Universidade Estadual de Londrina (UEL) |
instacron_str |
UEL |
institution |
UEL |
reponame_str |
Semina. Ciências Agrárias (Online) |
collection |
Semina. Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL) |
repository.mail.fl_str_mv |
semina.agrarias@uel.br |
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1750315430034014208 |