Rapport d'activités final du premier mandat (du 1er février 2011 au 31 janvier 2013) : ProFARMilk, variabilité et amélioration des aptitudes à la transformation fermière du laitGengler, Nicolas ; Sindic, Marianne ; et alReport (2013) Detailed reference viewed: 19 (3 ULg) Use of MIR spectrometry for technological properties prediction of milk samples from Walloon dairy cowsColinet, Frédéric ; Soyeurt, Hélène ; Gengler, Nicolas et alConference (2012, October 12) Detailed reference viewed: 24 (11 ULg) 4. Froment: premiers résultats de la récolte 2012; ; et al in Destain, Jean-Pierre; Bodson, Bernard (Eds.) Livre Blanc - Céréales - Gembloux (2012, September 06) Detailed reference viewed: 31 (2 ULg) 2. Variétés - 1. Froment d'hiverSeutin, Benoit ; ; Vancutsem, Françoise et alin Destain, Jean-Pierre; Bodson, Bernard (Eds.) Livre Blanc - Céréales - Gembloux (2012, September 06) Detailed reference viewed: 19 (2 ULg) Mid-infrared prediction of milk titratable acidity and its genetic variability in first-parity cowsColinet, Frédéric ; ; Vanden Bossche, sandrine et alConference (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 ▲] Detailed reference viewed: 37 (25 ULg) Mid-infrared prediction of milk titratable acidity and its genetic variability in first-parity cowsColinet, Frédéric ; ; Vanden Bossche, sandrine et alin 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 ▲] Detailed reference viewed: 17 (10 ULg) 4. Froment 2011: une récolte disparate; ; et al in Livre Blanc: Céréales-Gembloux - Informations avant les semis (2011, September 08) Detailed reference viewed: 14 (2 ULg) 2. Variétés - 1. Froment d'hiverSeutin, Benoit ; Vancutsem, Françoise ; et alin Livre blanc: Céréales-Gembloux - Informations avant les semis (2011, September 08) Detailed reference viewed: 20 (2 ULg) Variétés - 1. Froment d'hiverSeutin, Benoit ; Vancutsem, Françoise ; et alin Livre Blanc: Céréales - Gembloux - Informations avant les semis (2010, September 09) Detailed reference viewed: 24 (2 ULg) Froment 2010 : une réédition de 2006 ?; ; et al in Livre Blanc: Céréales - Gembloux - Informations avant les semis (2010, September 09) Detailed reference viewed: 13 (0 ULg) NIRS for the Determination of Internal Quality of Entire Apples; ; et al in NIR-2009 Breaking the Dawn (2009, November) Detailed reference viewed: 29 (4 ULg) Use of NIR spectroscopy for the determination of internal quality of entire apples; ; Lognay, Georges et alPoster (2009, November) Detailed reference viewed: 34 (6 ULg) Variétés: froment d'hiverSeutin, Benoit ; Vancutsem, Françoise ; et alin Livre Blanc: Céréales - Gembloux - Informations avant les semis (2009, September 10) Detailed reference viewed: 14 (0 ULg) Froment 2009: de bons rendements mais une piètre qualité boulangère; ; et al in Livre Blanc: Céréales - Gembloux - Informations avant les semis (2009, September 10) Detailed reference viewed: 23 (0 ULg) Valorisation de l'amidon de blé: incidences des modalités de culture sur les propriétés techno-fonctionnellesSindic, Marianne ; ; et alBook published by Presses agronomiques de Gembloux (2009) Detailed reference viewed: 33 (7 ULg) Variétés: froment d'hiver; Vancutsem, Françoise ; et alConference given outside the academic context (2008) Detailed reference viewed: 9 (0 ULg) 4. 2008: Une récolte longue et difficile!; ; et al in Livre Blanc: Céréales - Gembloux - Informations avant les semis (2008, September 11) Detailed reference viewed: 14 (0 ULg) Qualité froment: L'amidon de blé, une matière première agricole aux caractéristiques et propriétés diverses mais maîtrisablesBodson, Bernard ; ; et alin Livre Blanc: Céréales - Gembloux (2008, February 20) Detailed reference viewed: 24 (0 ULg) Produire des graines de lin riches en oméga-3 est possible en BelgiqueBodson, Bernard ; ; Vancutsem, Françoise et alin Treizième carrefour des productions animales: L'élevage des ruminants en question: vérités et contre-vérités (2008, January 23) Detailed reference viewed: 9 (1 ULg) Influence of nitrogen fertilizer treatments on soft wheat starch characteristics; Sindic, Marianne ; et alin Weegels, P. L.; Courtin, C. M.; Arrachid, A. (Eds.) et al Consummer driven cereal innovation: where science meets industry (2008) Detailed reference viewed: 14 (1 ULg) |
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