Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-products

Detalhes bibliográficos
Autor(a) principal: Malta,Marcelo Ribeiro
Data de Publicação: 2017
Outros Autores: Cirillo,Marcelo Ângelo, Fassio,Larissa de Oliveira, Barcelos,Adauto Ferreira, Lima,Priscilla Magalhães de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902017000200389
Resumo: ABSTRACT The aim of this work was to propose a mathematical model to determine the best combination of the by-products of coffee processing in the production of silage. To this end, 13 treatments were evaluated, resulting from the combination of wet coffee husks (WCH) and dried coffee husks (DCH), both with and without the use of molasses (M) and with or without the use of the inoculant Lactobacillus plantarum (I). From these components, various mixtures were proposed and evaluated, using the technique of simultaneous optimisation of multiple response variables. Silages with the best characteristics were obtained from the use of 76.40% WCH, 18.77% DCH, 4.83% of M and 0.0001% I.
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spelling Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-productsAnimal feedChemical compositionMixture modellingComponent optimisationABSTRACT The aim of this work was to propose a mathematical model to determine the best combination of the by-products of coffee processing in the production of silage. To this end, 13 treatments were evaluated, resulting from the combination of wet coffee husks (WCH) and dried coffee husks (DCH), both with and without the use of molasses (M) and with or without the use of the inoculant Lactobacillus plantarum (I). From these components, various mixtures were proposed and evaluated, using the technique of simultaneous optimisation of multiple response variables. Silages with the best characteristics were obtained from the use of 76.40% WCH, 18.77% DCH, 4.83% of M and 0.0001% I.Universidade Federal do Ceará2017-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902017000200389Revista Ciência Agronômica v.48 n.2 2017reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20170045info:eu-repo/semantics/openAccessMalta,Marcelo RibeiroCirillo,Marcelo ÂngeloFassio,Larissa de OliveiraBarcelos,Adauto FerreiraLima,Priscilla Magalhães deeng2017-02-03T00:00:00Zoai:scielo:S1806-66902017000200389Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2017-02-03T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-products
title Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-products
spellingShingle Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-products
Malta,Marcelo Ribeiro
Animal feed
Chemical composition
Mixture modelling
Component optimisation
title_short Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-products
title_full Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-products
title_fullStr Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-products
title_full_unstemmed Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-products
title_sort Mathematical models applied to the optimisation of mixtures in the production of silage from coffee by-products
author Malta,Marcelo Ribeiro
author_facet Malta,Marcelo Ribeiro
Cirillo,Marcelo Ângelo
Fassio,Larissa de Oliveira
Barcelos,Adauto Ferreira
Lima,Priscilla Magalhães de
author_role author
author2 Cirillo,Marcelo Ângelo
Fassio,Larissa de Oliveira
Barcelos,Adauto Ferreira
Lima,Priscilla Magalhães de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Malta,Marcelo Ribeiro
Cirillo,Marcelo Ângelo
Fassio,Larissa de Oliveira
Barcelos,Adauto Ferreira
Lima,Priscilla Magalhães de
dc.subject.por.fl_str_mv Animal feed
Chemical composition
Mixture modelling
Component optimisation
topic Animal feed
Chemical composition
Mixture modelling
Component optimisation
description ABSTRACT The aim of this work was to propose a mathematical model to determine the best combination of the by-products of coffee processing in the production of silage. To this end, 13 treatments were evaluated, resulting from the combination of wet coffee husks (WCH) and dried coffee husks (DCH), both with and without the use of molasses (M) and with or without the use of the inoculant Lactobacillus plantarum (I). From these components, various mixtures were proposed and evaluated, using the technique of simultaneous optimisation of multiple response variables. Silages with the best characteristics were obtained from the use of 76.40% WCH, 18.77% DCH, 4.83% of M and 0.0001% I.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-01
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=S1806-66902017000200389
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902017000200389
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20170045
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 Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.48 n.2 2017
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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