Predição da energia metabolizável do milho de primeira e segunda safra para leitões
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1413-70542017416015217 http://hdl.handle.net/11449/170587 |
Resumo: | Corn is one of the primary ingredients in swine diets, but there is a variation in its chemical composition and metabolizable energy (ME) content. Therefore, faster methods are required that can determine more accurate ME values to improve piglet diets. This study determined and predicted the ME of corn from first and second harvests for piglets. Two experiments were conducted to determine the ME values for 18 corn batches, evaluating corn from first and second harvests. The corn batches were analysed to determine the concentration of dry matter (DM), starch (ST), neutral detergent fiber (NDF), acid detergent fiber (ADF), crude protein (CP), ether extract (EE), ash, calcium (Ca), phosphorus (P) and gross energy (GE). To determine the ME values, 40 piglets were used in each experiment, grouped into a randomized block design with four replicates. The ME of the corn from the first and second crops ranged from 3281 to 3509 and from 3143 to 3652 kcal/kg on an as-fed basis, respectively, and the fitted equations to predict the ME presented a low R2. The best fit equation for predicting the ME of corn for piglets was determined to be ME= - 6306.15 + 400.652ADF + 117.286ST + 24924.7Ca + 2489.66P – 148.41CP (R2=0.44) for the first harvest; ME= -7560.08 + 2.66895GE – 120.69ADF (R2=0.48) for the second harvest; and ME= 2848.95 + 68.5714NDF + 161.938EE – 5563.5Ca – 1454.2P (R2=0.41) for the joint harvest. |
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Predição da energia metabolizável do milho de primeira e segunda safra para leitõesPredicting the metabolizable energy of first and second corn harvests for pigletsMetabolizability coefficientsPrediction equationsSwineCorn is one of the primary ingredients in swine diets, but there is a variation in its chemical composition and metabolizable energy (ME) content. Therefore, faster methods are required that can determine more accurate ME values to improve piglet diets. This study determined and predicted the ME of corn from first and second harvests for piglets. Two experiments were conducted to determine the ME values for 18 corn batches, evaluating corn from first and second harvests. The corn batches were analysed to determine the concentration of dry matter (DM), starch (ST), neutral detergent fiber (NDF), acid detergent fiber (ADF), crude protein (CP), ether extract (EE), ash, calcium (Ca), phosphorus (P) and gross energy (GE). To determine the ME values, 40 piglets were used in each experiment, grouped into a randomized block design with four replicates. The ME of the corn from the first and second crops ranged from 3281 to 3509 and from 3143 to 3652 kcal/kg on an as-fed basis, respectively, and the fitted equations to predict the ME presented a low R2. The best fit equation for predicting the ME of corn for piglets was determined to be ME= - 6306.15 + 400.652ADF + 117.286ST + 24924.7Ca + 2489.66P – 148.41CP (R2=0.44) for the first harvest; ME= -7560.08 + 2.66895GE – 120.69ADF (R2=0.48) for the second harvest; and ME= 2848.95 + 68.5714NDF + 161.938EE – 5563.5Ca – 1454.2P (R2=0.41) for the joint harvest.Universidade Estadual de Maringá/UEM Departamento de ZootecniaUniversidade Estadual do Oeste do Paraná/UNIOESTE Departamento de ZootecniaUniversidade Estadual Paulista “Júlio de Mesquita Filho”/UNESP Faculdade de Medicina Veterinária e ZootecniaUniversidade Estadual Paulista “Júlio de Mesquita Filho”/UNESP Faculdade de Medicina Veterinária e ZootecniaUniversidade Estadual de Maringá (UEM)Universidade Estadual do Oeste do Paraná/UNIOESTEUniversidade Estadual Paulista (Unesp)Esteves, Lucas Antonio Costade Oliveira, Newton Tavares EscocardHuepa, Laura Marcela DiazFerreira, Silvia Letícia [UNESP]Castilha, Leandro DalcinPozza, Paulo Cesar2018-12-11T16:51:35Z2018-12-11T16:51:35Z2017-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article683-691application/pdfhttp://dx.doi.org/10.1590/1413-70542017416015217Ciencia e Agrotecnologia, v. 41, n. 6, p. 683-691, 2017.1981-18291413-7054http://hdl.handle.net/11449/17058710.1590/1413-70542017416015217S1413-705420170006006832-s2.0-85041122891S1413-70542017000600683.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCiencia e Agrotecnologia0,383info:eu-repo/semantics/openAccess2023-10-20T06:04:36Zoai:repositorio.unesp.br:11449/170587Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:24:08.610893Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Predição da energia metabolizável do milho de primeira e segunda safra para leitões Predicting the metabolizable energy of first and second corn harvests for piglets |
title |
Predição da energia metabolizável do milho de primeira e segunda safra para leitões |
spellingShingle |
Predição da energia metabolizável do milho de primeira e segunda safra para leitões Esteves, Lucas Antonio Costa Metabolizability coefficients Prediction equations Swine |
title_short |
Predição da energia metabolizável do milho de primeira e segunda safra para leitões |
title_full |
Predição da energia metabolizável do milho de primeira e segunda safra para leitões |
title_fullStr |
Predição da energia metabolizável do milho de primeira e segunda safra para leitões |
title_full_unstemmed |
Predição da energia metabolizável do milho de primeira e segunda safra para leitões |
title_sort |
Predição da energia metabolizável do milho de primeira e segunda safra para leitões |
author |
Esteves, Lucas Antonio Costa |
author_facet |
Esteves, Lucas Antonio Costa de Oliveira, Newton Tavares Escocard Huepa, Laura Marcela Diaz Ferreira, Silvia Letícia [UNESP] Castilha, Leandro Dalcin Pozza, Paulo Cesar |
author_role |
author |
author2 |
de Oliveira, Newton Tavares Escocard Huepa, Laura Marcela Diaz Ferreira, Silvia Letícia [UNESP] Castilha, Leandro Dalcin Pozza, Paulo Cesar |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Maringá (UEM) Universidade Estadual do Oeste do Paraná/UNIOESTE Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Esteves, Lucas Antonio Costa de Oliveira, Newton Tavares Escocard Huepa, Laura Marcela Diaz Ferreira, Silvia Letícia [UNESP] Castilha, Leandro Dalcin Pozza, Paulo Cesar |
dc.subject.por.fl_str_mv |
Metabolizability coefficients Prediction equations Swine |
topic |
Metabolizability coefficients Prediction equations Swine |
description |
Corn is one of the primary ingredients in swine diets, but there is a variation in its chemical composition and metabolizable energy (ME) content. Therefore, faster methods are required that can determine more accurate ME values to improve piglet diets. This study determined and predicted the ME of corn from first and second harvests for piglets. Two experiments were conducted to determine the ME values for 18 corn batches, evaluating corn from first and second harvests. The corn batches were analysed to determine the concentration of dry matter (DM), starch (ST), neutral detergent fiber (NDF), acid detergent fiber (ADF), crude protein (CP), ether extract (EE), ash, calcium (Ca), phosphorus (P) and gross energy (GE). To determine the ME values, 40 piglets were used in each experiment, grouped into a randomized block design with four replicates. The ME of the corn from the first and second crops ranged from 3281 to 3509 and from 3143 to 3652 kcal/kg on an as-fed basis, respectively, and the fitted equations to predict the ME presented a low R2. The best fit equation for predicting the ME of corn for piglets was determined to be ME= - 6306.15 + 400.652ADF + 117.286ST + 24924.7Ca + 2489.66P – 148.41CP (R2=0.44) for the first harvest; ME= -7560.08 + 2.66895GE – 120.69ADF (R2=0.48) for the second harvest; and ME= 2848.95 + 68.5714NDF + 161.938EE – 5563.5Ca – 1454.2P (R2=0.41) for the joint harvest. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11-01 2018-12-11T16:51:35Z 2018-12-11T16:51:35Z |
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/10.1590/1413-70542017416015217 Ciencia e Agrotecnologia, v. 41, n. 6, p. 683-691, 2017. 1981-1829 1413-7054 http://hdl.handle.net/11449/170587 10.1590/1413-70542017416015217 S1413-70542017000600683 2-s2.0-85041122891 S1413-70542017000600683.pdf |
url |
http://dx.doi.org/10.1590/1413-70542017416015217 http://hdl.handle.net/11449/170587 |
identifier_str_mv |
Ciencia e Agrotecnologia, v. 41, n. 6, p. 683-691, 2017. 1981-1829 1413-7054 10.1590/1413-70542017416015217 S1413-70542017000600683 2-s2.0-85041122891 S1413-70542017000600683.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ciencia e Agrotecnologia 0,383 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
683-691 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 |
|
_version_ |
1808128509516709888 |