Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.

Detalhes bibliográficos
Autor(a) principal: PFEIFER, L. F. M.
Data de Publicação: 2017
Outros Autores: CASTRO, N. A., NEVES, P. M. A., CESTARO, J. P., SIQUEIRA, L. G. B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1063261
Resumo: The objectives of this study were to: 1) evaluate the relationship of the angle formed between the left and right sides of the rump with body condition score (BCS) in cattle; and 2) develop an objective tool to select cows for timed artificial insemination (TAI) based on their BCS. In Experiment 1, 801 lactating Nelore cows, 3?12 years old and weighing 400?625 kg were enrolled. All females were evaluated according to BCS (scale 1?5). In addition, the angle formed between both sides of the rump was measured in all cows with a goniometer. The relationship between BCS and the rump angle was analyzed by linear regression. There was a positive relationship between BCS and rump angle (P<0.0001). The linear regression equation was angle =77.76+9.94 x BCS; R2=0.67. The aim of Experiment 2 was to evaluate BCS in a simple, direct and objective way using rump angle and related BCS to TAI performance. A device was developed called Vetscore® to determine BCS according to rump angle. Using the Vetscore, cows were classified into three different categories of BCS using a color-based method: red, BCS<2.75; green, BCS between 2.75 and 4.5; and yellow, BCS>4.5. A total of 429 Nelore suckling cows, 4?8 years old, were subjected to a TAI protocol based on estradiol benzoate, exogenous progesterone, prostaglandin F2&#945;, equine chorionic gonadotropin and estradiol cypionate. At Day 0, all cows were evaluated with the Vetscore® and classified according to the device's BCS color scale. Pregnancy diagnosis was performed by ultrasonography 30 d after TAI. Pregnancy per AI (P/AI) was analyzed using the chi-square test. A good level of agreement was observed between Vetscore's scale and visual BCS (82.9%). Cows classified as ?green? had higher P/AI than cows classified as ?red? and ?yellow? (60.4%, 168 of 278; 42.4%, 61 of 144; and 28.6%, 2 of 7; respectively; P<0.001). These results demonstrate that Vetscore® is an efficient and low-cost methodology for the assessment of BCS and, indirectly, nutritional status of beef cows. Finally, cows classified as adequate according to Vetscore® color scale had higher P/AI at 30 d compared with those considered inadequate.
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spelling Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.FertilityTimed artificial inseminationGravidezInseminação artificial cronometradaCondição CorporalFertilidadebody conditioncattlepregnancyThe objectives of this study were to: 1) evaluate the relationship of the angle formed between the left and right sides of the rump with body condition score (BCS) in cattle; and 2) develop an objective tool to select cows for timed artificial insemination (TAI) based on their BCS. In Experiment 1, 801 lactating Nelore cows, 3?12 years old and weighing 400?625 kg were enrolled. All females were evaluated according to BCS (scale 1?5). In addition, the angle formed between both sides of the rump was measured in all cows with a goniometer. The relationship between BCS and the rump angle was analyzed by linear regression. There was a positive relationship between BCS and rump angle (P<0.0001). The linear regression equation was angle =77.76+9.94 x BCS; R2=0.67. The aim of Experiment 2 was to evaluate BCS in a simple, direct and objective way using rump angle and related BCS to TAI performance. A device was developed called Vetscore® to determine BCS according to rump angle. Using the Vetscore, cows were classified into three different categories of BCS using a color-based method: red, BCS<2.75; green, BCS between 2.75 and 4.5; and yellow, BCS>4.5. A total of 429 Nelore suckling cows, 4?8 years old, were subjected to a TAI protocol based on estradiol benzoate, exogenous progesterone, prostaglandin F2&#945;, equine chorionic gonadotropin and estradiol cypionate. At Day 0, all cows were evaluated with the Vetscore® and classified according to the device's BCS color scale. Pregnancy diagnosis was performed by ultrasonography 30 d after TAI. Pregnancy per AI (P/AI) was analyzed using the chi-square test. A good level of agreement was observed between Vetscore's scale and visual BCS (82.9%). Cows classified as ?green? had higher P/AI than cows classified as ?red? and ?yellow? (60.4%, 168 of 278; 42.4%, 61 of 144; and 28.6%, 2 of 7; respectively; P<0.001). These results demonstrate that Vetscore® is an efficient and low-cost methodology for the assessment of BCS and, indirectly, nutritional status of beef cows. Finally, cows classified as adequate according to Vetscore® color scale had higher P/AI at 30 d compared with those considered inadequate.LUIZ FRANCISCO MACHADO PFEIFER, CPAF-Rondonia; Natália A. Castro, UFPel; Paulo M.A. Neves, FIMCA; Jamyle P. Cestaro, FIMCA; LUIZ GUSTAVO BRUNO SIQUEIRA, CNPGL.PFEIFER, L. F. M.CASTRO, N. A.NEVES, P. M. A.CESTARO, J. P.SIQUEIRA, L. G. B.2017-02-09T11:11:11Z2017-02-09T11:11:11Z2017-02-0920172017-02-09T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleLivestock Science, v. 197, p. 82-87, 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1063261enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:09:16Zoai:www.alice.cnptia.embrapa.br:doc/1063261Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:09:16Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.
title Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.
spellingShingle Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.
PFEIFER, L. F. M.
Fertility
Timed artificial insemination
Gravidez
Inseminação artificial cronometrada
Condição Corporal
Fertilidade
body condition
cattle
pregnancy
title_short Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.
title_full Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.
title_fullStr Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.
title_full_unstemmed Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.
title_sort Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.
author PFEIFER, L. F. M.
author_facet PFEIFER, L. F. M.
CASTRO, N. A.
NEVES, P. M. A.
CESTARO, J. P.
SIQUEIRA, L. G. B.
author_role author
author2 CASTRO, N. A.
NEVES, P. M. A.
CESTARO, J. P.
SIQUEIRA, L. G. B.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv LUIZ FRANCISCO MACHADO PFEIFER, CPAF-Rondonia; Natália A. Castro, UFPel; Paulo M.A. Neves, FIMCA; Jamyle P. Cestaro, FIMCA; LUIZ GUSTAVO BRUNO SIQUEIRA, CNPGL.
dc.contributor.author.fl_str_mv PFEIFER, L. F. M.
CASTRO, N. A.
NEVES, P. M. A.
CESTARO, J. P.
SIQUEIRA, L. G. B.
dc.subject.por.fl_str_mv Fertility
Timed artificial insemination
Gravidez
Inseminação artificial cronometrada
Condição Corporal
Fertilidade
body condition
cattle
pregnancy
topic Fertility
Timed artificial insemination
Gravidez
Inseminação artificial cronometrada
Condição Corporal
Fertilidade
body condition
cattle
pregnancy
description The objectives of this study were to: 1) evaluate the relationship of the angle formed between the left and right sides of the rump with body condition score (BCS) in cattle; and 2) develop an objective tool to select cows for timed artificial insemination (TAI) based on their BCS. In Experiment 1, 801 lactating Nelore cows, 3?12 years old and weighing 400?625 kg were enrolled. All females were evaluated according to BCS (scale 1?5). In addition, the angle formed between both sides of the rump was measured in all cows with a goniometer. The relationship between BCS and the rump angle was analyzed by linear regression. There was a positive relationship between BCS and rump angle (P<0.0001). The linear regression equation was angle =77.76+9.94 x BCS; R2=0.67. The aim of Experiment 2 was to evaluate BCS in a simple, direct and objective way using rump angle and related BCS to TAI performance. A device was developed called Vetscore® to determine BCS according to rump angle. Using the Vetscore, cows were classified into three different categories of BCS using a color-based method: red, BCS<2.75; green, BCS between 2.75 and 4.5; and yellow, BCS>4.5. A total of 429 Nelore suckling cows, 4?8 years old, were subjected to a TAI protocol based on estradiol benzoate, exogenous progesterone, prostaglandin F2&#945;, equine chorionic gonadotropin and estradiol cypionate. At Day 0, all cows were evaluated with the Vetscore® and classified according to the device's BCS color scale. Pregnancy diagnosis was performed by ultrasonography 30 d after TAI. Pregnancy per AI (P/AI) was analyzed using the chi-square test. A good level of agreement was observed between Vetscore's scale and visual BCS (82.9%). Cows classified as ?green? had higher P/AI than cows classified as ?red? and ?yellow? (60.4%, 168 of 278; 42.4%, 61 of 144; and 28.6%, 2 of 7; respectively; P<0.001). These results demonstrate that Vetscore® is an efficient and low-cost methodology for the assessment of BCS and, indirectly, nutritional status of beef cows. Finally, cows classified as adequate according to Vetscore® color scale had higher P/AI at 30 d compared with those considered inadequate.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-09T11:11:11Z
2017-02-09T11:11:11Z
2017-02-09
2017
2017-02-09T11:11:11Z
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 Livestock Science, v. 197, p. 82-87, 2017.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1063261
identifier_str_mv Livestock Science, v. 197, p. 82-87, 2017.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1063261
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
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reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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