D Gruffat
Overview
Explore the profile of D Gruffat including associated specialties, affiliations and a list of published articles.
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Articles
33
Citations
150
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Recent Articles
1.
Listrat A, Gagaoua M, Normand J, Andueza D, Gruffat D, Mairesse G, et al.
Animal
. 2020 Jan;
14(6):1204-1212.
PMID: 31941561
Intramuscular connective tissue (IMCT) is mainly composed of several fibrils (known as total collagen (TCol)) linked between each other by different chemical cross-links (CLs), the whole being embedded in a...
2.
Gruffat D, Durand D, Rivaroli D, do Prado I, Prache S
Animal
. 2019 Oct;
14(5):1093-1101.
PMID: 31658927
Currently, consumers are increasingly interested in obtaining high-quality and healthy lamb meat. Compared to grain-based diets, dietary forage legumes such as alfalfa and condensed tannin (CT)-rich sainfoin increase the levels...
3.
Andueza D, Listrat A, Durand D, Normand J, Mourot B, Gruffat D
Meat Sci
. 2019 Aug;
158:107910.
PMID: 31419600
The aim of this study was to compare visible-near-infrared spectroscopy (VIS/NIRS) models developed from fresh or freeze-dried samples for predicting the fatty acid (FA) composition of beef samples. The hypothesis...
4.
Ait-Kaddour A, Loudiyi M, Ferlay A, Gruffat D
Meat Sci
. 2017 Nov;
137:58-66.
PMID: 29154219
This study evaluated the performance of classical front face (FFFS) and synchronous (SFS) fluorescence spectroscopy combined with Partial Least Square Discriminant Analysis (PLSDA), Support Vector Machine associated with PLS (PLS-SVM)...
5.
Ellies-Oury M, Cantalapiedra-Hijar G, Durand D, Gruffat D, Listrat A, Micol D, et al.
Meat Sci
. 2016 Aug;
122:163-172.
PMID: 27560645
This work sets out a methodological approach to assess how to simultaneously control together Animal Performances, nutritional value, sensory quality of meat. Seventy-one young bulls were characterized by 97 variables....
6.
Ait-Kaddour A, Thomas A, Mardon J, Jacquot S, Ferlay A, Gruffat D
Meat Sci
. 2015 Dec;
113:124-31.
PMID: 26656871
The present study aimed to evaluate and compare the ability of front face (FFFS) and synchronous fluorescence spectroscopy (SFS) to predict total fat and FA composition of beef LT muscles...
7.
Mourot B, Gruffat D, Durand D, Chesneau G, Mairesse G, Andueza D
Meat Sci
. 2014 Dec;
99:104-12.
PMID: 25443970
This study aims to assess near-infrared reflectance spectroscopy feasibility for predicting beef fatty acid (FA) composition. Experimental scheme included four breeds (Angus, Blond d'Aquitaine, Charolais, Limousin) and three muscles, Longissimus...
8.
Cherfaoui M, Durand D, Bonnet M, Bernard L, Bauchart D, Ortigues-Marty I, et al.
Animal
. 2013 Aug;
7(11):1833-40.
PMID: 23916277
N-3 long-chain polyunsaturated fatty acids (n-3 LCPUFA) are subject of growing interest as they are of particular relevance for meat quality and human health. However, their content in the muscles...
9.
Gruffat D, Cherfaoui M, Bonnet M, Thomas A, Bauchart D, Durand D
J Anim Sci
. 2013 Jun;
91(7):3059-69.
PMID: 23798513
N-3 long-chain (LC) PUFA are known to be beneficial for human development and health. These properties explain the increasing interest in promoting n-3 LC PUFA deposition in bovine muscles, leading...
10.
Toral P, Bernard L, Delavaud C, Gruffat D, Leroux C, Chilliard Y
Animal
. 2013 Feb;
7(6):948-56.
PMID: 23388097
In dairy cattle, diet supplementation with oils affects the lipid metabolism in body tissues via changes in the partitioning and deposition of fatty acids (FAs) and lipogenic gene expression; however,...