DM intake by feedlot beef cattle: factors that impact intake patterns

Detalhes bibliográficos
Autor(a) principal: Silvestre, A. M. [UNESP]
Data de Publicação: 2023
Outros Autores: Cruz, G. D., Owens, F. N., Pereira, M. C.S., Hicks, R. B., Millen, D. D. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.animal.2023.100734
http://hdl.handle.net/11449/249790
Resumo: DM intake (DMI) for individual pens of cattle is recorded daily or averaged across each week by most commercial feedlots as an index of performance. Numerous factors impact DMI by feedlot cattle. Some are available at the start of the feedlot period (initial BW, sex), and others become available early in the feeding period (daily DMI during adaptation) or more continuously (daily DMI from the previous week). To evaluate the relative impact of these factors on daily DMI during individual weeks within the feedlot period, we employed a dataset compiled from 2009 to 2014 from one commercial feedlot, including 4 132 pens (485 458 cattle), which were split into two fractions: 80% were used to calculate DMI regressions on these factors to develop a prediction equation for mean DMI for each week of the feeding period, and 20% were reserved to test the adequacy of these prediction equations. Correlations were used to determine the relationship between all available variables with observed DMI. These variables were then included in the generalized least squares regression models. A veracity test of the model was performed against the reserved data. Daily DMI from previous week was the factor most highly correlated with daily DMI (P < 0.10) during from week 6 to week 31, accounting for approximately 70% of the variation, followed by mean daily DMI during adaptation period (weeks 1–4), including in the prediction model from weeks 5 to 12. Initial shrunk BW (ISBW) was the third most correlated factor, which was included in prediction equations from week 5 to week 20. Sex entered the prediction model only after week 8. Daily DMI for each test week within the feeding period was predicted closely (r2 = 0.98) by these four factors (RMSE = 0.155 kg). In conclusion, the mean daily DMI during each week of the finishing period for a pen of cattle could be predicted closely based on mean daily DMI intake during the previous week plus other variables available early in a feedlot period (daily DMI during adaptation period, ISBW and sex).
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spelling DM intake by feedlot beef cattle: factors that impact intake patternsManagementModelPredictionSexWeekDM intake (DMI) for individual pens of cattle is recorded daily or averaged across each week by most commercial feedlots as an index of performance. Numerous factors impact DMI by feedlot cattle. Some are available at the start of the feedlot period (initial BW, sex), and others become available early in the feeding period (daily DMI during adaptation) or more continuously (daily DMI from the previous week). To evaluate the relative impact of these factors on daily DMI during individual weeks within the feedlot period, we employed a dataset compiled from 2009 to 2014 from one commercial feedlot, including 4 132 pens (485 458 cattle), which were split into two fractions: 80% were used to calculate DMI regressions on these factors to develop a prediction equation for mean DMI for each week of the feeding period, and 20% were reserved to test the adequacy of these prediction equations. Correlations were used to determine the relationship between all available variables with observed DMI. These variables were then included in the generalized least squares regression models. A veracity test of the model was performed against the reserved data. Daily DMI from previous week was the factor most highly correlated with daily DMI (P < 0.10) during from week 6 to week 31, accounting for approximately 70% of the variation, followed by mean daily DMI during adaptation period (weeks 1–4), including in the prediction model from weeks 5 to 12. Initial shrunk BW (ISBW) was the third most correlated factor, which was included in prediction equations from week 5 to week 20. Sex entered the prediction model only after week 8. Daily DMI for each test week within the feeding period was predicted closely (r2 = 0.98) by these four factors (RMSE = 0.155 kg). In conclusion, the mean daily DMI during each week of the finishing period for a pen of cattle could be predicted closely based on mean daily DMI intake during the previous week plus other variables available early in a feedlot period (daily DMI during adaptation period, ISBW and sex).São Paulo State University (UNESP) College of Agricultural and Technological Sciences, DracenaPurina Animal Nutrition LLCRegents Professor Emeritus Oklahoma State UniversityDepartment of Animal and Poultry Science University of SaskatchewanArea Extension Livestock Specialist Oklahoma State UniversitySão Paulo State University (UNESP) College of Agricultural and Technological Sciences, DracenaUniversidade Estadual Paulista (UNESP)Purina Animal Nutrition LLCOklahoma State UniversityUniversity of SaskatchewanSilvestre, A. M. [UNESP]Cruz, G. D.Owens, F. N.Pereira, M. C.S.Hicks, R. B.Millen, D. D. [UNESP]2023-07-29T16:09:18Z2023-07-29T16:09:18Z2023-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.animal.2023.100734Animal, v. 17, n. 4, 2023.1751-732X1751-7311http://hdl.handle.net/11449/24979010.1016/j.animal.2023.1007342-s2.0-85150811424Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAnimalinfo:eu-repo/semantics/openAccess2024-05-07T13:47:22Zoai:repositorio.unesp.br:11449/249790Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:44:15.942044Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv DM intake by feedlot beef cattle: factors that impact intake patterns
title DM intake by feedlot beef cattle: factors that impact intake patterns
spellingShingle DM intake by feedlot beef cattle: factors that impact intake patterns
Silvestre, A. M. [UNESP]
Management
Model
Prediction
Sex
Week
title_short DM intake by feedlot beef cattle: factors that impact intake patterns
title_full DM intake by feedlot beef cattle: factors that impact intake patterns
title_fullStr DM intake by feedlot beef cattle: factors that impact intake patterns
title_full_unstemmed DM intake by feedlot beef cattle: factors that impact intake patterns
title_sort DM intake by feedlot beef cattle: factors that impact intake patterns
author Silvestre, A. M. [UNESP]
author_facet Silvestre, A. M. [UNESP]
Cruz, G. D.
Owens, F. N.
Pereira, M. C.S.
Hicks, R. B.
Millen, D. D. [UNESP]
author_role author
author2 Cruz, G. D.
Owens, F. N.
Pereira, M. C.S.
Hicks, R. B.
Millen, D. D. [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Purina Animal Nutrition LLC
Oklahoma State University
University of Saskatchewan
dc.contributor.author.fl_str_mv Silvestre, A. M. [UNESP]
Cruz, G. D.
Owens, F. N.
Pereira, M. C.S.
Hicks, R. B.
Millen, D. D. [UNESP]
dc.subject.por.fl_str_mv Management
Model
Prediction
Sex
Week
topic Management
Model
Prediction
Sex
Week
description DM intake (DMI) for individual pens of cattle is recorded daily or averaged across each week by most commercial feedlots as an index of performance. Numerous factors impact DMI by feedlot cattle. Some are available at the start of the feedlot period (initial BW, sex), and others become available early in the feeding period (daily DMI during adaptation) or more continuously (daily DMI from the previous week). To evaluate the relative impact of these factors on daily DMI during individual weeks within the feedlot period, we employed a dataset compiled from 2009 to 2014 from one commercial feedlot, including 4 132 pens (485 458 cattle), which were split into two fractions: 80% were used to calculate DMI regressions on these factors to develop a prediction equation for mean DMI for each week of the feeding period, and 20% were reserved to test the adequacy of these prediction equations. Correlations were used to determine the relationship between all available variables with observed DMI. These variables were then included in the generalized least squares regression models. A veracity test of the model was performed against the reserved data. Daily DMI from previous week was the factor most highly correlated with daily DMI (P < 0.10) during from week 6 to week 31, accounting for approximately 70% of the variation, followed by mean daily DMI during adaptation period (weeks 1–4), including in the prediction model from weeks 5 to 12. Initial shrunk BW (ISBW) was the third most correlated factor, which was included in prediction equations from week 5 to week 20. Sex entered the prediction model only after week 8. Daily DMI for each test week within the feeding period was predicted closely (r2 = 0.98) by these four factors (RMSE = 0.155 kg). In conclusion, the mean daily DMI during each week of the finishing period for a pen of cattle could be predicted closely based on mean daily DMI intake during the previous week plus other variables available early in a feedlot period (daily DMI during adaptation period, ISBW and sex).
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T16:09:18Z
2023-07-29T16:09:18Z
2023-04-01
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.animal.2023.100734
Animal, v. 17, n. 4, 2023.
1751-732X
1751-7311
http://hdl.handle.net/11449/249790
10.1016/j.animal.2023.100734
2-s2.0-85150811424
url http://dx.doi.org/10.1016/j.animal.2023.100734
http://hdl.handle.net/11449/249790
identifier_str_mv Animal, v. 17, n. 4, 2023.
1751-732X
1751-7311
10.1016/j.animal.2023.100734
2-s2.0-85150811424
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Animal
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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