Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattle
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/67310 |
Resumo: | This study aimed to compare the univariate analyses (relationship between dry matter intake (DMI) and average daily gain (ADG), Kleiber ratio, and residual feed intake) and multivariate analysis (bionutritional index [BNI]) to determine feed efficiency. Were used a total of 160 cattle (individual data) and the analyzed variables were dry matter intake, weight gain, and body weight of the animals. We used five methods to evaluate feed efficiency, the BNI, FE, corrected feeding efficiency (corFE), Kleiber ratio (KR), and residual feed intake (RFI). Study 1 demonstrated that only the FE (p=0.0472) was significant, although the FE after the transformation of Box-Cox (corFE) (p=0.0642) showed a statistical trend. In studies 2, 3, and 5, we observed that BNI was the best biological efficiency indicator. In the study 4, we observed that the best indicators were FE (0.110; p=0.0281), corFE (0.380; p=0.0429), and RFI (0.465; p=0.0340) for the genders. However, corFE decreased the coefficient of variation in all studies. In conclusion, the use of the Box-Cox transformation is as efficient as the multivariate analysis in discriminating experimental groups (genetic groups, different levels of concentrate in the diet, and genders) concerning the other univariate analyzes. |
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Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattleIntakePerformanceRuminantsStatistical analysis. Agricultural SciencesThis study aimed to compare the univariate analyses (relationship between dry matter intake (DMI) and average daily gain (ADG), Kleiber ratio, and residual feed intake) and multivariate analysis (bionutritional index [BNI]) to determine feed efficiency. Were used a total of 160 cattle (individual data) and the analyzed variables were dry matter intake, weight gain, and body weight of the animals. We used five methods to evaluate feed efficiency, the BNI, FE, corrected feeding efficiency (corFE), Kleiber ratio (KR), and residual feed intake (RFI). Study 1 demonstrated that only the FE (p=0.0472) was significant, although the FE after the transformation of Box-Cox (corFE) (p=0.0642) showed a statistical trend. In studies 2, 3, and 5, we observed that BNI was the best biological efficiency indicator. In the study 4, we observed that the best indicators were FE (0.110; p=0.0281), corFE (0.380; p=0.0429), and RFI (0.465; p=0.0340) for the genders. However, corFE decreased the coefficient of variation in all studies. In conclusion, the use of the Box-Cox transformation is as efficient as the multivariate analysis in discriminating experimental groups (genetic groups, different levels of concentrate in the diet, and genders) concerning the other univariate analyzes.Universidade Federal de Uberlândia2023-03-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/6731010.14393/BJ-v39n0a2023-67310Bioscience Journal ; Vol. 39 (2023): Continuous Publication; e39059Bioscience Journal ; v. 39 (2023): Continuous Publication; e390591981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/67310/35870Brazil; Contemporary Copyright (c) 2023 Tadeu Silva de Oliveira, Ismael Nacarati Silva , Elon Souza Aniceto, José Ribeiro Meirelles Júnior https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Oliveira, Tadeu Silva de Silva , Ismael Nacarati Aniceto, Elon Souza Júnior , José Ribeiro Meirelles2024-01-31T19:16:18Zoai:ojs.www.seer.ufu.br:article/67310Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2024-01-31T19:16:18Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattle |
title |
Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattle |
spellingShingle |
Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattle Oliveira, Tadeu Silva de Intake Performance Ruminants Statistical analysis. Agricultural Sciences |
title_short |
Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattle |
title_full |
Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattle |
title_fullStr |
Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattle |
title_full_unstemmed |
Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattle |
title_sort |
Application of the multivariate and univariate analyses to estimate the feed efficiency in beef cattle |
author |
Oliveira, Tadeu Silva de |
author_facet |
Oliveira, Tadeu Silva de Silva , Ismael Nacarati Aniceto, Elon Souza Júnior , José Ribeiro Meirelles |
author_role |
author |
author2 |
Silva , Ismael Nacarati Aniceto, Elon Souza Júnior , José Ribeiro Meirelles |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Oliveira, Tadeu Silva de Silva , Ismael Nacarati Aniceto, Elon Souza Júnior , José Ribeiro Meirelles |
dc.subject.por.fl_str_mv |
Intake Performance Ruminants Statistical analysis. Agricultural Sciences |
topic |
Intake Performance Ruminants Statistical analysis. Agricultural Sciences |
description |
This study aimed to compare the univariate analyses (relationship between dry matter intake (DMI) and average daily gain (ADG), Kleiber ratio, and residual feed intake) and multivariate analysis (bionutritional index [BNI]) to determine feed efficiency. Were used a total of 160 cattle (individual data) and the analyzed variables were dry matter intake, weight gain, and body weight of the animals. We used five methods to evaluate feed efficiency, the BNI, FE, corrected feeding efficiency (corFE), Kleiber ratio (KR), and residual feed intake (RFI). Study 1 demonstrated that only the FE (p=0.0472) was significant, although the FE after the transformation of Box-Cox (corFE) (p=0.0642) showed a statistical trend. In studies 2, 3, and 5, we observed that BNI was the best biological efficiency indicator. In the study 4, we observed that the best indicators were FE (0.110; p=0.0281), corFE (0.380; p=0.0429), and RFI (0.465; p=0.0340) for the genders. However, corFE decreased the coefficient of variation in all studies. In conclusion, the use of the Box-Cox transformation is as efficient as the multivariate analysis in discriminating experimental groups (genetic groups, different levels of concentrate in the diet, and genders) concerning the other univariate analyzes. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-31 |
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://seer.ufu.br/index.php/biosciencejournal/article/view/67310 10.14393/BJ-v39n0a2023-67310 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/67310 |
identifier_str_mv |
10.14393/BJ-v39n0a2023-67310 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/67310/35870 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 39 (2023): Continuous Publication; e39059 Bioscience Journal ; v. 39 (2023): Continuous Publication; e39059 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
_version_ |
1797069065311748096 |