Predicting empty body weight in growing goats: A meta-analytic approach

Detalhes bibliográficos
Autor(a) principal: Campos, Letícia Marra [UNESP]
Data de Publicação: 2017
Outros Autores: Almeida, Amélia Katiane [UNESP], Biagioli, Bruno [UNESP], Resende, Kleber Tomas [UNESP], Teixeira, Izabelle Auxiliadora Molina Almeida [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.smallrumres.2017.09.002
http://hdl.handle.net/11449/179160
Resumo: The objective of this study was to develop statistical models to predict empty body weight (EBW) by body weight (BW), testing the influence of sex (females, intact males or castrated males), type of diet (suckling or post-weaning), and genotype (Saanen, ½ Boer × ½ Saanen, ¾ Boer × ¼ Saanen, and Indigenous goats). Individual records of 311 goats combined from 10 studies, with BW ranging from 4.3 to 47.4 kg were used. The EBW was computed as the BW at slaughter minus the weight of the contents of the digestive tract, urinary bladder, and biliary vesicle. Linear regression analyses were performed to develop the models, considering sex, type of diet, and genotype as fixed effects and random effect of study. CONTRAST statements were used to conduct all pairwise comparisons of fixed effects and all the statistical analyses were performed using SAS. The present study revealed that sex did not affect both intercept (P = 0.53) and slope (P = 0.19). On the other hand, the EBW prediction was affected by type of diet (P < 0.01), and genotype (P = 0.02). Therefore, were proposed different equations to predict EBW from BW for suckling and post-weaning Saanen goats, where gastrointestinal tract content (g/kg EBW) in suckling goat kids increased as they grew, oppositely it remained slightly constant in post-weaning goats. The effect of genotype on the EBW:BW relationship was tested considering only post-weaning goats, and one equation was proposed for each genotype. In general, gastrointestinal tract content (g/kg EBW) decreased as goat kids grew in all genotypes but Indigenous goats. The results also highlighted different gastrointestinal relative capacity between genotypes. The development of these equations would enable producers and researchers to predict the animal EBW, and develop strategic plans in a goat herd.
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spelling Predicting empty body weight in growing goats: A meta-analytic approachBoerGenotypeSaanenSexType of dietThe objective of this study was to develop statistical models to predict empty body weight (EBW) by body weight (BW), testing the influence of sex (females, intact males or castrated males), type of diet (suckling or post-weaning), and genotype (Saanen, ½ Boer × ½ Saanen, ¾ Boer × ¼ Saanen, and Indigenous goats). Individual records of 311 goats combined from 10 studies, with BW ranging from 4.3 to 47.4 kg were used. The EBW was computed as the BW at slaughter minus the weight of the contents of the digestive tract, urinary bladder, and biliary vesicle. Linear regression analyses were performed to develop the models, considering sex, type of diet, and genotype as fixed effects and random effect of study. CONTRAST statements were used to conduct all pairwise comparisons of fixed effects and all the statistical analyses were performed using SAS. The present study revealed that sex did not affect both intercept (P = 0.53) and slope (P = 0.19). On the other hand, the EBW prediction was affected by type of diet (P < 0.01), and genotype (P = 0.02). Therefore, were proposed different equations to predict EBW from BW for suckling and post-weaning Saanen goats, where gastrointestinal tract content (g/kg EBW) in suckling goat kids increased as they grew, oppositely it remained slightly constant in post-weaning goats. The effect of genotype on the EBW:BW relationship was tested considering only post-weaning goats, and one equation was proposed for each genotype. In general, gastrointestinal tract content (g/kg EBW) decreased as goat kids grew in all genotypes but Indigenous goats. The results also highlighted different gastrointestinal relative capacity between genotypes. The development of these equations would enable producers and researchers to predict the animal EBW, and develop strategic plans in a goat herd.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Universidade Estadual Paulista (UNESP) Department of Animal ScienceUniversidade Estadual Paulista (UNESP) Department of Animal ScienceFAPESP: 2014/14734-9FAPESP: 2015/14091-3Universidade Estadual Paulista (Unesp)Campos, Letícia Marra [UNESP]Almeida, Amélia Katiane [UNESP]Biagioli, Bruno [UNESP]Resende, Kleber Tomas [UNESP]Teixeira, Izabelle Auxiliadora Molina Almeida [UNESP]2018-12-11T17:34:00Z2018-12-11T17:34:00Z2017-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article45-50application/pdfhttp://dx.doi.org/10.1016/j.smallrumres.2017.09.002Small Ruminant Research, v. 155, p. 45-50.0921-4488http://hdl.handle.net/11449/17916010.1016/j.smallrumres.2017.09.0022-s2.0-850291684112-s2.0-85029168411.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSmall Ruminant Research0,485info:eu-repo/semantics/openAccess2023-11-13T06:16:33Zoai:repositorio.unesp.br:11449/179160Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-13T06:16:33Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Predicting empty body weight in growing goats: A meta-analytic approach
title Predicting empty body weight in growing goats: A meta-analytic approach
spellingShingle Predicting empty body weight in growing goats: A meta-analytic approach
Campos, Letícia Marra [UNESP]
Boer
Genotype
Saanen
Sex
Type of diet
title_short Predicting empty body weight in growing goats: A meta-analytic approach
title_full Predicting empty body weight in growing goats: A meta-analytic approach
title_fullStr Predicting empty body weight in growing goats: A meta-analytic approach
title_full_unstemmed Predicting empty body weight in growing goats: A meta-analytic approach
title_sort Predicting empty body weight in growing goats: A meta-analytic approach
author Campos, Letícia Marra [UNESP]
author_facet Campos, Letícia Marra [UNESP]
Almeida, Amélia Katiane [UNESP]
Biagioli, Bruno [UNESP]
Resende, Kleber Tomas [UNESP]
Teixeira, Izabelle Auxiliadora Molina Almeida [UNESP]
author_role author
author2 Almeida, Amélia Katiane [UNESP]
Biagioli, Bruno [UNESP]
Resende, Kleber Tomas [UNESP]
Teixeira, Izabelle Auxiliadora Molina Almeida [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Campos, Letícia Marra [UNESP]
Almeida, Amélia Katiane [UNESP]
Biagioli, Bruno [UNESP]
Resende, Kleber Tomas [UNESP]
Teixeira, Izabelle Auxiliadora Molina Almeida [UNESP]
dc.subject.por.fl_str_mv Boer
Genotype
Saanen
Sex
Type of diet
topic Boer
Genotype
Saanen
Sex
Type of diet
description The objective of this study was to develop statistical models to predict empty body weight (EBW) by body weight (BW), testing the influence of sex (females, intact males or castrated males), type of diet (suckling or post-weaning), and genotype (Saanen, ½ Boer × ½ Saanen, ¾ Boer × ¼ Saanen, and Indigenous goats). Individual records of 311 goats combined from 10 studies, with BW ranging from 4.3 to 47.4 kg were used. The EBW was computed as the BW at slaughter minus the weight of the contents of the digestive tract, urinary bladder, and biliary vesicle. Linear regression analyses were performed to develop the models, considering sex, type of diet, and genotype as fixed effects and random effect of study. CONTRAST statements were used to conduct all pairwise comparisons of fixed effects and all the statistical analyses were performed using SAS. The present study revealed that sex did not affect both intercept (P = 0.53) and slope (P = 0.19). On the other hand, the EBW prediction was affected by type of diet (P < 0.01), and genotype (P = 0.02). Therefore, were proposed different equations to predict EBW from BW for suckling and post-weaning Saanen goats, where gastrointestinal tract content (g/kg EBW) in suckling goat kids increased as they grew, oppositely it remained slightly constant in post-weaning goats. The effect of genotype on the EBW:BW relationship was tested considering only post-weaning goats, and one equation was proposed for each genotype. In general, gastrointestinal tract content (g/kg EBW) decreased as goat kids grew in all genotypes but Indigenous goats. The results also highlighted different gastrointestinal relative capacity between genotypes. The development of these equations would enable producers and researchers to predict the animal EBW, and develop strategic plans in a goat herd.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
2018-12-11T17:34:00Z
2018-12-11T17:34:00Z
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/10.1016/j.smallrumres.2017.09.002
Small Ruminant Research, v. 155, p. 45-50.
0921-4488
http://hdl.handle.net/11449/179160
10.1016/j.smallrumres.2017.09.002
2-s2.0-85029168411
2-s2.0-85029168411.pdf
url http://dx.doi.org/10.1016/j.smallrumres.2017.09.002
http://hdl.handle.net/11449/179160
identifier_str_mv Small Ruminant Research, v. 155, p. 45-50.
0921-4488
10.1016/j.smallrumres.2017.09.002
2-s2.0-85029168411
2-s2.0-85029168411.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Small Ruminant Research
0,485
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 45-50
application/pdf
dc.source.none.fl_str_mv Scopus
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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