Predicting the metabolizable energy of first and second corn harvests for piglets

Detalhes bibliográficos
Autor(a) principal: Esteves,Lucas Antonio Costa
Data de Publicação: 2017
Outros Autores: Oliveira,Newton Tavares Escocard de, Huepa,Laura Marcela Diaz, Ferreira,Silvia Letícia, Castilha,Leandro Dalcin, Pozza,Paulo Cesar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000600683
Resumo: ABSTRACT 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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spelling Predicting the metabolizable energy of first and second corn harvests for pigletsMetabolizability coefficientsprediction equationsswineABSTRACT 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.Editora da UFLA2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000600683Ciência e Agrotecnologia v.41 n.6 2017reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-70542017416015217info:eu-repo/semantics/openAccessEsteves,Lucas Antonio CostaOliveira,Newton Tavares Escocard deHuepa,Laura Marcela DiazFerreira,Silvia LetíciaCastilha,Leandro DalcinPozza,Paulo Cesareng2017-12-08T00:00:00Zoai:scielo:S1413-70542017000600683Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:33.481246Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Predicting the metabolizable energy of first and second corn harvests for piglets
title Predicting the metabolizable energy of first and second corn harvests for piglets
spellingShingle Predicting the metabolizable energy of first and second corn harvests for piglets
Esteves,Lucas Antonio Costa
Metabolizability coefficients
prediction equations
swine
title_short Predicting the metabolizable energy of first and second corn harvests for piglets
title_full Predicting the metabolizable energy of first and second corn harvests for piglets
title_fullStr Predicting the metabolizable energy of first and second corn harvests for piglets
title_full_unstemmed Predicting the metabolizable energy of first and second corn harvests for piglets
title_sort Predicting the metabolizable energy of first and second corn harvests for piglets
author Esteves,Lucas Antonio Costa
author_facet Esteves,Lucas Antonio Costa
Oliveira,Newton Tavares Escocard de
Huepa,Laura Marcela Diaz
Ferreira,Silvia Letícia
Castilha,Leandro Dalcin
Pozza,Paulo Cesar
author_role author
author2 Oliveira,Newton Tavares Escocard de
Huepa,Laura Marcela Diaz
Ferreira,Silvia Letícia
Castilha,Leandro Dalcin
Pozza,Paulo Cesar
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Esteves,Lucas Antonio Costa
Oliveira,Newton Tavares Escocard de
Huepa,Laura Marcela Diaz
Ferreira,Silvia Letícia
Castilha,Leandro Dalcin
Pozza,Paulo Cesar
dc.subject.por.fl_str_mv Metabolizability coefficients
prediction equations
swine
topic Metabolizability coefficients
prediction equations
swine
description ABSTRACT 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 2017-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000600683
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000600683
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-70542017416015217
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.41 n.6 2017
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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