Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, Brazil

Detalhes bibliográficos
Autor(a) principal: Lima, Pedro Gustavo Loesia
Data de Publicação: 2021
Outros Autores: Damasceno, Julio Cesar, Borges, João Augusto Rossi, Bánkuti, Ferenc Istvan, Martinelli, Raiane Real
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/42835
Resumo: This study aimed to investigate factors associated with grain feeding and determine the typology of dairy farms that use high-grain diets. Twenty-two farm operators were interviewed in three municipalities located in the central-western region of Paraná state, Brazil. Information on reproductive and nutritional management practices, sociodemographic characteristics, and farm performance was collected. Data were analyzed using exploratory factor analysis, hierarchical cluster analysis, and multiple linear regression. Three factors (F1, F2, and F3) were extracted, which together explained 82.61% of the total variance. F1 comprised diet quality, technology, and breeding composition. F2 comprised labor and size. F3 comprised feed quality and schooling. Farms were classified into four groups and compared in terms of factor scores and performance parameters. Group 1 had the highest mean score on F1 (0.715), group 4 on F2 (1.642), and group 2 on F3 (1.116). Groups 4 and 1 had the highest milk productivity (2043.50 and 399.52 L day-1, respectively) and labor efficiency (418.16 and 148.63 L worker-1 day-1, respectively). Group 4 also had the highest mean number of cows per worker (25.52 cows worker-1). Regression analysis revealed that diet quality, technology, and breeding composition (F1) explained the variance in cow productivity. Labor and size, (F2) explained the variance in number of cows per worker. Daily productivity and labor efficiency were explained by both F1 and F2. Feed quality and farm operator’s level of schooling did not explain the variation in any of the variables. We found that roughage quality, breeding technology, and herd breed composition are the major factors associated with grain feeding. Farmers who feed cows high-quality roughage throughout the year and invest in genetic improvement and selective breeding strategies are more likely to adopt high-grain feeding and have high milk productivity.
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spelling Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, BrazilFatores associados ao uso de grãos em fazendas leiteiras localizadas na região centro-oeste do Estado do Paraná, BrasilAnimal feedConcentrateFarm typologyMultivariate approach.Alimentação animalConcentradoTipologiaAbordagem multivariada.This study aimed to investigate factors associated with grain feeding and determine the typology of dairy farms that use high-grain diets. Twenty-two farm operators were interviewed in three municipalities located in the central-western region of Paraná state, Brazil. Information on reproductive and nutritional management practices, sociodemographic characteristics, and farm performance was collected. Data were analyzed using exploratory factor analysis, hierarchical cluster analysis, and multiple linear regression. Three factors (F1, F2, and F3) were extracted, which together explained 82.61% of the total variance. F1 comprised diet quality, technology, and breeding composition. F2 comprised labor and size. F3 comprised feed quality and schooling. Farms were classified into four groups and compared in terms of factor scores and performance parameters. Group 1 had the highest mean score on F1 (0.715), group 4 on F2 (1.642), and group 2 on F3 (1.116). Groups 4 and 1 had the highest milk productivity (2043.50 and 399.52 L day-1, respectively) and labor efficiency (418.16 and 148.63 L worker-1 day-1, respectively). Group 4 also had the highest mean number of cows per worker (25.52 cows worker-1). Regression analysis revealed that diet quality, technology, and breeding composition (F1) explained the variance in cow productivity. Labor and size, (F2) explained the variance in number of cows per worker. Daily productivity and labor efficiency were explained by both F1 and F2. Feed quality and farm operator’s level of schooling did not explain the variation in any of the variables. We found that roughage quality, breeding technology, and herd breed composition are the major factors associated with grain feeding. Farmers who feed cows high-quality roughage throughout the year and invest in genetic improvement and selective breeding strategies are more likely to adopt high-grain feeding and have high milk productivity.Este estudo teve como objetivo investigar os fatores associados ao uso de grãos e determinar a tipologia de fazendas leiteiras que utilizam dietas ricas em grãos. Foram entrevistados 22 produtores rurais em três municípios localizados na região centro-oeste do estado do Paraná, Brasil. As informações foram coletadas sobre práticas de manejo reprodutivo e nutricional, características sociodemográficas e desempenho da fazenda. Os dados foram analisados por meio de análise fatorial exploratória, análise de agrupamento hierárquico e regressão linear múltipla. Foram extraídos três fatores (F1, F2 e F3), que juntos explicaram 82,61% da variância total. F1 compreendeu uso de grãos, qualidade da dieta, estratégia de melhoramento genético e composição racial do rebanho. F2 compreendeu as características da força de trabalho, tamanho do rebanho e tamanho da fazenda. F3 compreendeu o nível de escolaridade e a qualidade da alimentação. As fazendas foram classificadas em quatro grupos e comparadas em termos de escores dos fatores e variáveis de desempenho. O grupo 1 teve a maior escore médio em F1 (0,715), o grupo 4 em F2 (1,642) e o grupo 2 em F3 (1,116). Os grupos 4 e 1 tiveram a maior produtividade de leite (2043,50 e 399,52 L dia -1, respectivamente) e eficiência de trabalho (418,16 e 148,63 L trabalhador -1 dia -1, respectivamente). O Grupo 4 também teve o maior número médio de vacas por trabalhador (25,52 vacas trabalhador -1). A análise de regressão revelou que a qualidade da dieta, estratégia de criação e composição do rebanho (F1) explicaram a variação na produtividade das vacas. As características da força de trabalho, tamanho do rebanho e tamanho da fazenda (F2) explicaram a variação no número de vacas por trabalhador. A produtividade diária e a eficiência do trabalho foram explicadas por F1 e F2. A qualidade da alimentação e o nível de escolaridade do produtor rural não explicaram a variação em nenhuma das variáveis. Descobrimos que a qualidade do volumoso, a tecnologia de melhoramento genético dos animais e a composição do rebanho são os principais fatores associados à alimentação a base de grãos. Os produtores que alimentam as vacas com volumoso de alta qualidade ao longo do ano e investem em melhoramento genético e estratégias reprodutivas têm maior probabilidade de adotar alto teor de grãos na dieta das vacas e ter alta produtividade.UEL2021-08-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa de campoapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4283510.5433/1679-0359.2021v42n6p3431Semina: Ciências Agrárias; Vol. 42 No. 6 (2021); 3431-3448Semina: Ciências Agrárias; v. 42 n. 6 (2021); 3431-34481679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/42835/30067Copyright (c) 2021 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessLima, Pedro Gustavo LoesiaDamasceno, Julio CesarBorges, João Augusto RossiBánkuti, Ferenc IstvanMartinelli, Raiane Real2022-09-30T12:25:33Zoai:ojs.pkp.sfu.ca:article/42835Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-09-30T12:25:33Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, Brazil
Fatores associados ao uso de grãos em fazendas leiteiras localizadas na região centro-oeste do Estado do Paraná, Brasil
title Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, Brazil
spellingShingle Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, Brazil
Lima, Pedro Gustavo Loesia
Animal feed
Concentrate
Farm typology
Multivariate approach.
Alimentação animal
Concentrado
Tipologia
Abordagem multivariada.
title_short Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, Brazil
title_full Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, Brazil
title_fullStr Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, Brazil
title_full_unstemmed Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, Brazil
title_sort Factors associated with grain feeding in dairy farms located in the central-western region of Paraná State, Brazil
author Lima, Pedro Gustavo Loesia
author_facet Lima, Pedro Gustavo Loesia
Damasceno, Julio Cesar
Borges, João Augusto Rossi
Bánkuti, Ferenc Istvan
Martinelli, Raiane Real
author_role author
author2 Damasceno, Julio Cesar
Borges, João Augusto Rossi
Bánkuti, Ferenc Istvan
Martinelli, Raiane Real
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lima, Pedro Gustavo Loesia
Damasceno, Julio Cesar
Borges, João Augusto Rossi
Bánkuti, Ferenc Istvan
Martinelli, Raiane Real
dc.subject.por.fl_str_mv Animal feed
Concentrate
Farm typology
Multivariate approach.
Alimentação animal
Concentrado
Tipologia
Abordagem multivariada.
topic Animal feed
Concentrate
Farm typology
Multivariate approach.
Alimentação animal
Concentrado
Tipologia
Abordagem multivariada.
description This study aimed to investigate factors associated with grain feeding and determine the typology of dairy farms that use high-grain diets. Twenty-two farm operators were interviewed in three municipalities located in the central-western region of Paraná state, Brazil. Information on reproductive and nutritional management practices, sociodemographic characteristics, and farm performance was collected. Data were analyzed using exploratory factor analysis, hierarchical cluster analysis, and multiple linear regression. Three factors (F1, F2, and F3) were extracted, which together explained 82.61% of the total variance. F1 comprised diet quality, technology, and breeding composition. F2 comprised labor and size. F3 comprised feed quality and schooling. Farms were classified into four groups and compared in terms of factor scores and performance parameters. Group 1 had the highest mean score on F1 (0.715), group 4 on F2 (1.642), and group 2 on F3 (1.116). Groups 4 and 1 had the highest milk productivity (2043.50 and 399.52 L day-1, respectively) and labor efficiency (418.16 and 148.63 L worker-1 day-1, respectively). Group 4 also had the highest mean number of cows per worker (25.52 cows worker-1). Regression analysis revealed that diet quality, technology, and breeding composition (F1) explained the variance in cow productivity. Labor and size, (F2) explained the variance in number of cows per worker. Daily productivity and labor efficiency were explained by both F1 and F2. Feed quality and farm operator’s level of schooling did not explain the variation in any of the variables. We found that roughage quality, breeding technology, and herd breed composition are the major factors associated with grain feeding. Farmers who feed cows high-quality roughage throughout the year and invest in genetic improvement and selective breeding strategies are more likely to adopt high-grain feeding and have high milk productivity.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa de campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/42835
10.5433/1679-0359.2021v42n6p3431
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/42835
identifier_str_mv 10.5433/1679-0359.2021v42n6p3431
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/42835/30067
dc.rights.driver.fl_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 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. 42 No. 6 (2021); 3431-3448
Semina: Ciências Agrárias; v. 42 n. 6 (2021); 3431-3448
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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