Simulated amino acid requirements of growing pigs differ between current factorial methods
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1017/S1751731119002660 http://hdl.handle.net/11449/198655 |
Resumo: | Significant differences in the estimation of amino acid requirements exist between the available factorial methods. This study aimed to compare current factorial models used to estimate the individual and population standardised ileal digestible (SID) lysine (Lys) requirements of growing pigs during a 26-day feeding phase. Individual daily feed intake and BW data from 40 high-performance pigs (25-kg initial BW) were smoothed by linear regression. Body weight gain was constant (regression slope not different from 0) for all the pigs. The CV of the SID Lys requirements ranged from 22% at the beginning of the trial to 8% at the end. The population Brazilian tables (BT-2017) and National Research Council (NRC-2012) SID Lys requirements for the average pig were 16% higher than the average requirement estimated by the individual precision-feeding model (IPF), but similar to the estimated for the population assuming that population requirements are those of the 80th-percentile pig of the population (IPF-80). Meaning that, the IPF-80, BT-2017, and NRC-2012 models would yield similar recommendations when pigs are group-fed in conventional multi-phase systems. Additionally, the IPF-80 estimates are independent of the phase length, whereas the BT-2017 and NRC-2012 models use average population values in the middle of the feeding phase for the calculations and therefore, conventional requirement estimations decrease as the length of the feeding phase increases. In conclusion, the BT-2017 and NRC-2012 methods were calibrated for maximum population responses, which explains why these methods yield higher values than those estimated for the average pig by the IPF model. This study shows the limitations of conventional factorial methods to estimate amino acid requirements for precision-feeding systems. |
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Repositório Institucional da UNESP |
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Simulated amino acid requirements of growing pigs differ between current factorial methodslysinenutritional modellingprecision feedingprecision nutritionswineSignificant differences in the estimation of amino acid requirements exist between the available factorial methods. This study aimed to compare current factorial models used to estimate the individual and population standardised ileal digestible (SID) lysine (Lys) requirements of growing pigs during a 26-day feeding phase. Individual daily feed intake and BW data from 40 high-performance pigs (25-kg initial BW) were smoothed by linear regression. Body weight gain was constant (regression slope not different from 0) for all the pigs. The CV of the SID Lys requirements ranged from 22% at the beginning of the trial to 8% at the end. The population Brazilian tables (BT-2017) and National Research Council (NRC-2012) SID Lys requirements for the average pig were 16% higher than the average requirement estimated by the individual precision-feeding model (IPF), but similar to the estimated for the population assuming that population requirements are those of the 80th-percentile pig of the population (IPF-80). Meaning that, the IPF-80, BT-2017, and NRC-2012 models would yield similar recommendations when pigs are group-fed in conventional multi-phase systems. Additionally, the IPF-80 estimates are independent of the phase length, whereas the BT-2017 and NRC-2012 models use average population values in the middle of the feeding phase for the calculations and therefore, conventional requirement estimations decrease as the length of the feeding phase increases. In conclusion, the BT-2017 and NRC-2012 methods were calibrated for maximum population responses, which explains why these methods yield higher values than those estimated for the average pig by the IPF model. This study shows the limitations of conventional factorial methods to estimate amino acid requirements for precision-feeding systems.Sherbrooke Research and Development Centre Agriculture and Agri-Food CanadaDepartment of Animal Science School of Agricultural and Veterinary Studies São Paulo State University (Unesp)Department of Animal Science School of Agricultural and Veterinary Studies São Paulo State University (Unesp)Agriculture and Agri-Food CanadaUniversidade Estadual Paulista (Unesp)Remus, A. [UNESP]Hauschild, L. [UNESP]Pomar, C. [UNESP]2020-12-12T01:18:40Z2020-12-12T01:18:40Z2020-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article725-730http://dx.doi.org/10.1017/S1751731119002660Animal, v. 14, n. 4, p. 725-730, 2020.1751-732X1751-7311http://hdl.handle.net/11449/19865510.1017/S17517311190026602-s2.0-85082006900Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAnimalinfo:eu-repo/semantics/openAccess2021-10-22T18:20:56Zoai:repositorio.unesp.br:11449/198655Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T18:20:56Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Simulated amino acid requirements of growing pigs differ between current factorial methods |
title |
Simulated amino acid requirements of growing pigs differ between current factorial methods |
spellingShingle |
Simulated amino acid requirements of growing pigs differ between current factorial methods Remus, A. [UNESP] lysine nutritional modelling precision feeding precision nutrition swine |
title_short |
Simulated amino acid requirements of growing pigs differ between current factorial methods |
title_full |
Simulated amino acid requirements of growing pigs differ between current factorial methods |
title_fullStr |
Simulated amino acid requirements of growing pigs differ between current factorial methods |
title_full_unstemmed |
Simulated amino acid requirements of growing pigs differ between current factorial methods |
title_sort |
Simulated amino acid requirements of growing pigs differ between current factorial methods |
author |
Remus, A. [UNESP] |
author_facet |
Remus, A. [UNESP] Hauschild, L. [UNESP] Pomar, C. [UNESP] |
author_role |
author |
author2 |
Hauschild, L. [UNESP] Pomar, C. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Agriculture and Agri-Food Canada Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Remus, A. [UNESP] Hauschild, L. [UNESP] Pomar, C. [UNESP] |
dc.subject.por.fl_str_mv |
lysine nutritional modelling precision feeding precision nutrition swine |
topic |
lysine nutritional modelling precision feeding precision nutrition swine |
description |
Significant differences in the estimation of amino acid requirements exist between the available factorial methods. This study aimed to compare current factorial models used to estimate the individual and population standardised ileal digestible (SID) lysine (Lys) requirements of growing pigs during a 26-day feeding phase. Individual daily feed intake and BW data from 40 high-performance pigs (25-kg initial BW) were smoothed by linear regression. Body weight gain was constant (regression slope not different from 0) for all the pigs. The CV of the SID Lys requirements ranged from 22% at the beginning of the trial to 8% at the end. The population Brazilian tables (BT-2017) and National Research Council (NRC-2012) SID Lys requirements for the average pig were 16% higher than the average requirement estimated by the individual precision-feeding model (IPF), but similar to the estimated for the population assuming that population requirements are those of the 80th-percentile pig of the population (IPF-80). Meaning that, the IPF-80, BT-2017, and NRC-2012 models would yield similar recommendations when pigs are group-fed in conventional multi-phase systems. Additionally, the IPF-80 estimates are independent of the phase length, whereas the BT-2017 and NRC-2012 models use average population values in the middle of the feeding phase for the calculations and therefore, conventional requirement estimations decrease as the length of the feeding phase increases. In conclusion, the BT-2017 and NRC-2012 methods were calibrated for maximum population responses, which explains why these methods yield higher values than those estimated for the average pig by the IPF model. This study shows the limitations of conventional factorial methods to estimate amino acid requirements for precision-feeding systems. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T01:18:40Z 2020-12-12T01:18:40Z 2020-04-01 |
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/10.1017/S1751731119002660 Animal, v. 14, n. 4, p. 725-730, 2020. 1751-732X 1751-7311 http://hdl.handle.net/11449/198655 10.1017/S1751731119002660 2-s2.0-85082006900 |
url |
http://dx.doi.org/10.1017/S1751731119002660 http://hdl.handle.net/11449/198655 |
identifier_str_mv |
Animal, v. 14, n. 4, p. 725-730, 2020. 1751-732X 1751-7311 10.1017/S1751731119002660 2-s2.0-85082006900 |
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.format.none.fl_str_mv |
725-730 |
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 |
|
_version_ |
1799964984291098624 |