References of "Sindic, Marianne"
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See detail2. Variétés - 1. Froment d'hiver
Seutin, Benoit ULg; Jacquemin, Guillaume; Vancutsem, Françoise ULg et al

in Destain, Jean-Pierre; Bodson, Bernard (Eds.) Livre Blanc - Céréales - Gembloux (2012, September 06)

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See detailMid-infrared prediction of milk titratable acidity and its genetic variability in first-parity cows
Colinet, Frédéric ULg; Vanlierde, Amélie ULg; Vanden Bossche, sandrine ULg et al

Conference (2012, August 27)

Coagulation of milkhas a direct effect on cheese yield. Among several parameters, titratable acidity of milk (TA) influences all the phases of milk coagulation. In order to study the genetic variability ... [more ▼]

Coagulation of milkhas a direct effect on cheese yield. Among several parameters, titratable acidity of milk (TA) influences all the phases of milk coagulation. In order to study the genetic variability of this trait on a large scale, mid-infrared (MIR) chemometric methods were used to predict TA. A total of 507 milk samples collected in the Walloon Region of Belgium from individual cows were analyzed using a MIR spectrometer. TA was recorded as Dornic degree. An equation to predict TA from milk MIR spectrum was developed using partial least squared regression after a first derivative pre-treatment applied to the spectra to correct the baseline drift. During the calibration process, 45 outliers were detected and removed from the calibration set. The TA mean of the final calibration set was 16.62 (standard deviation (SD) = 1.80). The coefficient of determination (R²) was 0.82 for the calibration with a standard error (SE) of 0.76. A cross-validation (cv) was performed (R²cv = 0.81 with SEcv = 0.80). This equation was then applied on the spectral database generated during the Walloon routine milk recording. The variances components were estimated by REML using single-trait random regression animal test-day model. The dataset used included 33,717 records from 9,191 Holstein first-parity cows; the TA mean was 17.05 (SD = 1.35) and TA ranged from 12.83 to 20.87. Estimated daily heritabilities ranged from 0.43 at 5th day in milk to 0.59 at 215th day in milk indicating potential of selection. Further research will study phenotypic and genetic correlations between TA and milk production traits. [less ▲]

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See detailMid-infrared prediction of milk titratable acidity and its genetic variability in first-parity cows
Colinet, Frédéric ULg; Vanlierde, Amélie ULg; Vanden Bossche, sandrine ULg et al

in Book of Abstracts of the 63rd Annual Meeting of the European Federation of Animal Science (2012, August)

Coagulation of milkhas a direct effect on cheese yield. Among several parameters, titratable acidity of milk (TA) influences all the phases of milk coagulation. In order to study the genetic variability ... [more ▼]

Coagulation of milkhas a direct effect on cheese yield. Among several parameters, titratable acidity of milk (TA) influences all the phases of milk coagulation. In order to study the genetic variability of this trait on a large scale, mid-infrared (MIR) chemometric methods were used to predict TA. A total of 507 milk samples collected in the Walloon Region of Belgium from individual cows were analyzed using a MIR spectrometer. TA was recorded as Dornic degree. An equation to predict TA from milk MIR spectrum was developed using partial least squared regression after a first derivative pre-treatment applied to the spectra to correct the baseline drift. During the calibration process, 45 outliers were detected and removed from the calibration set. The TA mean of the final calibration set was 16.62 (standard deviation (SD) = 1.80). The coefficient of determination (R²) was 0.82 for the calibration with a standard error (SE) of 0.76. A cross-validation (cv) was performed (R²cv = 0.81 with SEcv = 0.80). This equation was then applied on the spectral database generated during the Walloon routine milk recording. The variances components were estimated by REML using single-trait random regression animal test-day model. The dataset used included 33,717 records from 9,191 Holstein first-parity cows; the TA mean was 17.05 (SD = 1.35) and TA ranged from 12.83 to 20.87. Estimated daily heritabilities ranged from 0.43 at 5th day in milk to 0.59 at 215th day in milk indicating potential of selection. Further research will study phenotypic and genetic correlations between TA and milk production traits. [less ▲]

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See detailMaîtrise de la teneur en vitamine C
Chèné, Christine; Delacharlerie, Sophie ULg; Sindic, Marianne ULg

Scientific conference (2012, June 26)

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See detailLes défis de l'agroalimentaire: exemple de l'huile de palme
Delacharlerie, Sophie ULg; Chèné, Christine; Sindic, Marianne ULg

Scientific conference (2012, June 26)

Detailed reference viewed: 37 (13 ULg)
See detailOutils pour la maîtrise de la qualité nutritionnelle
Chèné, Christine; Delacharlerie, Sophie ULg; Sindic, Marianne ULg

Scientific conference (2012, June 26)

Detailed reference viewed: 36 (7 ULg)
See detailMaîtriser la DLUO : Pistes méthodologiques
Delacharlerie, Sophie ULg; Chèné, Christine; Sindic, Marianne ULg

Scientific conference (2012, June 26)

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See detailPolémique autour de l'huile de palme: Instantanés d'un secteur en crise
Delacharlerie, Sophie ULg; Poncelet, Céline ULg; Chèné, Christine et al

in Industries Alimentaires et Agricoles (2012), 2012(Mai-Juin), 42-47

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See detailUne cellule d'encadrement pour les producteurs transformateurs
Helleputte, Murielle ULg; De Laubier, Juliette ULg; Di Tanna, Sybille ULg et al

in Wallonie Elevages (2012), 4

La Cellule Qualité Produits Fermiers possède un guichet unique auquel le producteur-transformateur peut s'adresser pour toute question relative à son projet de diversification. En fonction de la demande ... [more ▼]

La Cellule Qualité Produits Fermiers possède un guichet unique auquel le producteur-transformateur peut s'adresser pour toute question relative à son projet de diversification. En fonction de la demande, il est dirigé vers le ou les pôles compétents. [less ▲]

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See detailAnalysis of virgin olive oil volative fraction from two distinct geographical areas of eastern Morocco
Tanouti, K.; Serghini Caid, H.; Abid, M. et al

Conference (2012, March 09)

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See detailAOP/IGP en viande et produits de viande - Intérêts, difficultés et perspectives
Sindic, Marianne ULg; Helleputte, Murielle ULg

Scientific conference (2012, March 07)

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Peer Reviewed
See detailÉvaluation de l’impact de 6 matières grasses (palme et non-palme) sur les caractéristiques instrumentales et sensorielles d’une matrice de type cake
Delacharlerie, Sophie ULg; Poncelet, Céline ULg; Chèné, Christine et al

in Oléagineux, Corps gras, Lipides (2012), 19(2), 101-110

Six types of fats (oils, shortenings and margarines) from different vegetable (hydrogenated or not) or animal origins have been studied in a cake model. Cakes have been characterized through Texture ... [more ▼]

Six types of fats (oils, shortenings and margarines) from different vegetable (hydrogenated or not) or animal origins have been studied in a cake model. Cakes have been characterized through Texture Profile Analysis and sensory evaluation. Texture analysis shows that studied fats can be classified in two main categories, giving different texture characteristics: liquid oils on one hand and fats containing a solid fraction on the other. Descriptive sensory evaluation leads to the same conclusions. On the contrary, hedonic sensory evaluation shows no difference between the different fats. The results in this paper indicate also that shortenings classical solid fat content can be reduced, without impact on the final product characteristics. This paper shows thus that the nutritional profile of bakery products can be improved, without sacrificing the sensory quality. Notably, the palm oil content (and thus the saturated fatty acids content) reduction of today shortenings could be an answer to nutritional and environmental concerns. [less ▲]

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See detailCaractérisation des coposés volatils des huiles d'olive produites dans des coopératives de la région orientale du Maroc
Tanouti, K.; Serghini-Caid, H.; Sindic, Marianne ULg et al

in 5èmes Journées Internationales d'Etude sur les Lipides - JIEL 2011 : Graisses alimentaires, Lipides marins, Nutrition et Santé (2011, December 08)

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See detailProlongation de la durée de conservation de l'huile de cactus par ajout des huiles essentielles de quelques plantes aromatiques de la région du Sud marocain et d'huile d'Argan
Zine, S.; El Hadek, M.; Sindic, Marianne ULg

in 5èmes Journées Internationales d'Etude sur les Lipides - JIEL 2011 : Graisses alimentaires, Lipides marins, Nutrition et Santé (2011, December 08)

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Peer Reviewed
See detailSe faire une opinion sur l'huile de palme : éléments de compréhension
Delacharlerie, Sophie ULg; Poncelet, Céline ULg; Chèné, Christine et al

in Food Science and Law (2011), 2011(Oct-Nov-Déc), 2-9

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See detail2. Variétés - 1. Froment d'hiver
Seutin, Benoit ULg; Vancutsem, Françoise ULg; Couvreur, Luc et al

in Livre blanc: Céréales-Gembloux - Informations avant les semis (2011, September 08)

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See detailMid-infrared predictions of cheese yield from bovine milk
Vanlierde, Amélie ULg; Soyeurt, Hélène ULg; Anceau, Christine ULg et al

Conference (2011, August 31)

Economically, cheese yield (CY) is very important. Todate, empirical or theoretical formulae allow estimating the theoretical CY from milk fat and casein or protein content of milk. It would be ... [more ▼]

Economically, cheese yield (CY) is very important. Todate, empirical or theoretical formulae allow estimating the theoretical CY from milk fat and casein or protein content of milk. It would be interesting to predict CY during milk recording directly without the need to estimate milk components. Through the BlueSel project, 157 milk samples were collected in Wallonia from individual cows and analyzed using a mid-infrared (MIR) MilkoScanFT6000 spectrometer. Individual laboratory cheese yields (ILCY) were determined for each sample and expressed as g of dry coagulum/100 g of milk dry matter. An equation to predict ILCY from MIR was developed using partial least squared regression (Winisi III). A first derivative pre-treatment of spectra was used to correct the baseline drift. To improve the repeatability of the spectral data, a file which contained the spectra of samples analyzed on 5 spectrometers was used during the calibration. During calibration, 23 outliers were detected a nd removed from the calibration set. The ILCY mean of the final calibration set was 63.9% with a SD of 11.2%. The calibration (C) coefficient of determination (R²) was equal to 0.76 with a standard error (SE) of calibration of 5.5%. A full cross-validation (CV) was preformed to assess the robustness. R²cv was 0.72 with a SECV of 6.0%. The similarity between R²c and R²cv as well as between SEC and SECV permits to consider robustness of the developed equation as good. Even if it is planned to improve the equation with additional samples, this first equation will permit to study ILCY in the Walloon dairy cattle. [less ▲]

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See detailMid-infrared predictions of cheese yield from bovine milk
Vanlierde, Amélie ULg; Soyeurt, Hélène ULg; Anceau, Christine ULg et al

in Book of Abstracts of the 62nd Annual Meeting of the European Association for Animal Production (2011, August)

Economically, cheese yield (CY) is very important. Todate, empirical or theoretical formulae allow estimating the theoretical CY from milk fat and casein or protein content of milk. It would be ... [more ▼]

Economically, cheese yield (CY) is very important. Todate, empirical or theoretical formulae allow estimating the theoretical CY from milk fat and casein or protein content of milk. It would be interesting to predict CY during milk recording directly without the need to estimate milk components. Through the BlueSel project, 157 milk samples were collected in Wallonia from individual cows and analyzed using a mid-infrared (MIR) MilkoScanFT6000 spectrometer. Individual laboratory cheese yields (ILCY) were determined for each sample and expressed as g of dry coagulum/100 g of milk dry matter. An equation to predict ILCY from MIR was developed using partial least squared regression (Winisi III). A first derivative pre-treatment of spectra was used to correct the baseline drift. To improve the repeatability of the spectral data, a file which contained the spectra of samples analyzed on 5 spectrometers was used during the calibration. During calibration, 23 outliers were detected a nd removed from the calibration set. The ILCY mean of the final calibration set was 63.9% with a SD of 11.2%. The calibration (C) coefficient of determination (R²) was equal to 0.76 with a standard error (SE) of calibration of 5.5%. A full cross-validation (CV) was preformed to assess the robustness. R²cv was 0.72 with a SECV of 6.0%. The similarity between R²c and R²cv as well as between SEC and SECV permits to consider robustness of the developed equation as good. Even if it is planned to improve the equation with additional samples, this first equation will permit to study ILCY in the Walloon dairy cattle. [less ▲]

Detailed reference viewed: 32 (6 ULg)