Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restriction
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Semina. Ciências Agrárias (Online) |
Texto Completo: | https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46976 |
Resumo: | This study aimed to evaluate the correlations between mineral profile, physical and chemical characteristics, and proximate composition of ewe meat receiving different water supply levels (100% - ad libitum group; 80%; 60% and 40% ad libitum group). Thirty-two Santa Ines ewes were assigned to a randomized block design, with 4 treatments, and 8 replications, during the 63-day experimental period. Significant correlations between all minerals (P<0.05) were found in the 60% and 40% water supply levels. A correlation (P<0.05) was observed for minerals P, K, Ca, Mg, S, Cu, and Fe with crude protein at 100% water supply. Negative correlations (P<0.05) between N, P, K, Ca, Mg, S, Cu, Fe, and Zn were detected in the meat of animals supplied with 60% water. Principal component analysis (PCA) of macrominerals explained 82.9% data variance. Zinc had a strong contribution to PC1. Cooking losses had a similar contribution to PC1 and PC2. PC1 and PC2 explained 66.7% data variance in chemical characteristics. The decrease in water supply causes the correlation of nitrogen with the other minerals in meat, in addition to altering the correlation between the physical and chemical profile of the meat. |
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Semina. Ciências Agrárias (Online) |
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Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restrictionCorrelação entre perfil mineral, características físico-químicas e composição centesimal da carne de ovelhas Santa Inês submetidas à restrição hídricaCalciumCrude proteinHardnessIronPrincipal componentes.CálcioComponentes principaisDurezaFerroProteína bruta.This study aimed to evaluate the correlations between mineral profile, physical and chemical characteristics, and proximate composition of ewe meat receiving different water supply levels (100% - ad libitum group; 80%; 60% and 40% ad libitum group). Thirty-two Santa Ines ewes were assigned to a randomized block design, with 4 treatments, and 8 replications, during the 63-day experimental period. Significant correlations between all minerals (P<0.05) were found in the 60% and 40% water supply levels. A correlation (P<0.05) was observed for minerals P, K, Ca, Mg, S, Cu, and Fe with crude protein at 100% water supply. Negative correlations (P<0.05) between N, P, K, Ca, Mg, S, Cu, Fe, and Zn were detected in the meat of animals supplied with 60% water. Principal component analysis (PCA) of macrominerals explained 82.9% data variance. Zinc had a strong contribution to PC1. Cooking losses had a similar contribution to PC1 and PC2. PC1 and PC2 explained 66.7% data variance in chemical characteristics. The decrease in water supply causes the correlation of nitrogen with the other minerals in meat, in addition to altering the correlation between the physical and chemical profile of the meat.O objetivo deste estudo foi avaliar as correlações entre o perfil mineral, as características físico-químicas e a composição centesimal da carne de ovelhas recebendo diferentes níveis de oferta hídrica (100% - grupo ad libitum; 80%; 60% e 40% do grupo ad libitum). Trinta e duas ovelhas Santa Inês foram distribuídas em delineamento em blocos ao acaso, com 4 tratamentos e 8 repetições, durante o período experimental de 63 dias. Correlações significativas entre todos os minerais (P<0,05) foram encontradas nos níveis de 60% e 40% de oferta hídrica. Observou-se correlação (P<0,05) dos minerais P, K, Ca, Mg, S, Cu e Fe com a proteína bruta em 100% de oferta hídrica. Correlações negativas (P<0,05) entre N, P, K, Ca, Mg, S, Cu, Fe e Zn foram detectadas na carne de animais que receberam oferta de 60% de água. A análise de componentes principais (ACP) dos macrominerais explicaram 82,9% da variação dos dados. O zinco apresentou forte contribuição para a componente 1 (CP1). As perdas por cozimento tiveram contribuição semelhante para CP1 e componente 2 (CP2). A CP1 e a CP2 explicaram 66,7% da variação dos dados das características químicas. A diminuição da oferta hídrica promoveu a correlação do nitrogênio com os demais minerais da carne, além de alterar a correlação entre o perfil físico e químico da carne.UEL2023-04-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4697610.5433/1679-0359.2023v44n2p529Semina: Ciências Agrárias; Vol. 44 No. 2 (2023); 529-548Semina: Ciências Agrárias; v. 44 n. 2 (2023); 529-5481679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46976/48763Copyright (c) 2023 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess Araújo, Cleyton de AlmeidaMagalhães, André Luiz Rodrigues Araújo, Gherman Garcia Leal deCampos, Fleming SenaGois, Glayciane Costa Santos, Kelly Cristina dos Matos, Maria Helena Tavares de Nascimento, Daniel Bezerra doSantos, Neilson Silva2023-06-26T16:56:09Zoai:ojs.pkp.sfu.ca:article/46976Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2023-06-26T16:56:09Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restriction Correlação entre perfil mineral, características físico-químicas e composição centesimal da carne de ovelhas Santa Inês submetidas à restrição hídrica |
title |
Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restriction |
spellingShingle |
Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restriction Araújo, Cleyton de Almeida Calcium Crude protein Hardness Iron Principal componentes. Cálcio Componentes principais Dureza Ferro Proteína bruta. |
title_short |
Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restriction |
title_full |
Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restriction |
title_fullStr |
Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restriction |
title_full_unstemmed |
Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restriction |
title_sort |
Correlation between mineral profile, physical-chemical characteristics, and proximate composition of meat from Santa Ines ewes under water restriction |
author |
Araújo, Cleyton de Almeida |
author_facet |
Araújo, Cleyton de Almeida Magalhães, André Luiz Rodrigues Araújo, Gherman Garcia Leal de Campos, Fleming Sena Gois, Glayciane Costa Santos, Kelly Cristina dos Matos, Maria Helena Tavares de Nascimento, Daniel Bezerra do Santos, Neilson Silva |
author_role |
author |
author2 |
Magalhães, André Luiz Rodrigues Araújo, Gherman Garcia Leal de Campos, Fleming Sena Gois, Glayciane Costa Santos, Kelly Cristina dos Matos, Maria Helena Tavares de Nascimento, Daniel Bezerra do Santos, Neilson Silva |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Araújo, Cleyton de Almeida Magalhães, André Luiz Rodrigues Araújo, Gherman Garcia Leal de Campos, Fleming Sena Gois, Glayciane Costa Santos, Kelly Cristina dos Matos, Maria Helena Tavares de Nascimento, Daniel Bezerra do Santos, Neilson Silva |
dc.subject.por.fl_str_mv |
Calcium Crude protein Hardness Iron Principal componentes. Cálcio Componentes principais Dureza Ferro Proteína bruta. |
topic |
Calcium Crude protein Hardness Iron Principal componentes. Cálcio Componentes principais Dureza Ferro Proteína bruta. |
description |
This study aimed to evaluate the correlations between mineral profile, physical and chemical characteristics, and proximate composition of ewe meat receiving different water supply levels (100% - ad libitum group; 80%; 60% and 40% ad libitum group). Thirty-two Santa Ines ewes were assigned to a randomized block design, with 4 treatments, and 8 replications, during the 63-day experimental period. Significant correlations between all minerals (P<0.05) were found in the 60% and 40% water supply levels. A correlation (P<0.05) was observed for minerals P, K, Ca, Mg, S, Cu, and Fe with crude protein at 100% water supply. Negative correlations (P<0.05) between N, P, K, Ca, Mg, S, Cu, Fe, and Zn were detected in the meat of animals supplied with 60% water. Principal component analysis (PCA) of macrominerals explained 82.9% data variance. Zinc had a strong contribution to PC1. Cooking losses had a similar contribution to PC1 and PC2. PC1 and PC2 explained 66.7% data variance in chemical characteristics. The decrease in water supply causes the correlation of nitrogen with the other minerals in meat, in addition to altering the correlation between the physical and chemical profile of the meat. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-04-25 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46976 10.5433/1679-0359.2023v44n2p529 |
url |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46976 |
identifier_str_mv |
10.5433/1679-0359.2023v44n2p529 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/46976/48763 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UEL |
publisher.none.fl_str_mv |
UEL |
dc.source.none.fl_str_mv |
Semina: Ciências Agrárias; Vol. 44 No. 2 (2023); 529-548 Semina: Ciências Agrárias; v. 44 n. 2 (2023); 529-548 1679-0359 1676-546X reponame:Semina. Ciências Agrárias (Online) instname:Universidade Estadual de Londrina (UEL) instacron:UEL |
instname_str |
Universidade Estadual de Londrina (UEL) |
instacron_str |
UEL |
institution |
UEL |
reponame_str |
Semina. Ciências Agrárias (Online) |
collection |
Semina. Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL) |
repository.mail.fl_str_mv |
semina.agrarias@uel.br |
_version_ |
1799306086911574016 |