References of "Froidmont, Eric"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailValidation d'une méthode d'analyse quantitative de l'équol dans le lait par UPLC-MSMS
Daems, Frédéric ULg; Jasselette, Christophe; Lognay, Georges ULg et al

Poster (2013, June 04)

Detailed reference viewed: 55 (9 ULg)
Full Text
See detailPhenotypic and genetic variability of methane emissions and milk fatty acid contents of Walloon Holstein dairy cows
Vanrobays, Marie-Laure ULg; Kandel, Purna Bhadra ULg; Soyeurt, Hélène ULg et al

Poster (2013, February 07)

There is a growing interest in reducing methane (CH4) emissions from enteric fermentation of dairy cows because these emissions contribute to climate change and represent losses of gross energy intake for ... [more ▼]

There is a growing interest in reducing methane (CH4) emissions from enteric fermentation of dairy cows because these emissions contribute to climate change and represent losses of gross energy intake for cows. Milk fatty acid (FA) profile is influenced by rumen fermentations. The aim of this study was to estimate phenotypic and genetic variability of enteric CH4 emissions of dairy cows and FA contents of milk. CH4 emissions (g/d) and milk FA contents are predicted from milk mid-infrared (MIR) spectra based on calibration equations developed by Vanlierde et al. (2013) and Soyeurt et al. (2011), respectively. Data included 161,681 records from 22,642 cows in 489 herds. Genetic parameters of MIR CH4 emissions and 7 groups of FA contents in milk were estimated for Walloon Holstein cows in first parity using bivariate (CH4 emission with a FA trait) random regression test-day models. Saturated FA presented higher genetic correlations with MIR CH4 production than unsaturated FA (0.25 vs. 0.10). Genetic correlations with MIR CH4 emissions were higher for short-(SC) and medium-chain (MC) FA (0.24 and 0.23, respectively) than for long-chain (LC) FA (0.13). Phenotypic correlations between MIR CH4 emissions and SC and MC FA were also higher than those between MIR CH4 emissions and LC FA (0.20 vs. -0.08). Finally, results showed that MIR milk FA profile and MIR CH4 emissions are correlated emphasizing indirect link between milk FA and CH4 emissions through rumen metabolism. [less ▲]

Detailed reference viewed: 32 (12 ULg)
Full Text
See detailDevelopment of a method to predict individual enteric methane emissions from cows based on milk mid-infrared spectra
Vanlierde, Amélie ULg; Froidmont, Eric; Soyeurt, Hélène ULg et al

in Hassouna, Mélynda; Guingand, Nadine (Eds.) Emissions of Gas and Dust from Livestock (2013)

Detailed reference viewed: 6 (2 ULg)
Full Text
Peer Reviewed
See detailGenetic parameters for methane emissions predicted from milk mid-infrared spectra in dairy cows
Kandel, Purna Bhadra ULg; Vanrobays, Marie-Laure ULg; Vanlierde, Amélie ULg et al

in Journal of Dairy Science (2013), 95(E-1), 388

Genetic selection of low methane (CH4) emitting animals is additive and permanent but the difficulties associated with individual CH4 measurement result in a paucity of records required to estimate ... [more ▼]

Genetic selection of low methane (CH4) emitting animals is additive and permanent but the difficulties associated with individual CH4 measurement result in a paucity of records required to estimate genetic variability of CH4 traits. Recently, it was shown that direct quantification of CH4 emissions by mid-infrared spectroscopy (MIR) from milk. The CH4 prediction equation was developed using 452 SF6 CH4 measurements with associated milk spectra and the calibration equation was developed using PLS regression. The obtained SD of predicted CH4 was 126.39 g/day with standard error of cross validation 68.68 g/day and a cross-validation coefficient of determination equal to 70%. The equation was applied on a total of 338,917 spectra obtained from milk samples collected between January 2007 and August 2012 during the Walloon milk recording for first parity Holstein cows. The prediction of MIR CH4 was 547 ± 111 g/d and MIR CH4 g/kg of fat and protein corrected milk (FPCM) was 23.66 ± 8.21.Multi-trait random regression test-day models were used to estimate the genetic variability of MIR predicted CH4 and milk production traits. The heritability, phenotypic and genetic correlations between MIR predicted CH4 traits and milk traits are presented in Table 1. Estimated heritability for CH4 g/day and CH4 g/kg of FPCM were lower than common production traits but would still be useful in breeding programs. While selection for cows emitting lower amounts of MIR predicted CH4 (g/d) would have little effect on milk production traits, selection on MIR predicted CH4 (g/kg of FPCM) would decrease FPCM, fat and protein yields. These genetic parameters of CH4 indicator traits might be entry point for selection that accounts mitigation of CH4 from dairy farming. Table 1. Heritability (diagonal), phenotypic (below the diagonal) and genetic (above the diagonal) correlations between MIR predicted CH4 and production traits Traits MIR CH4 (g/d) MIR CH4 ((g/kg of FPCM) FPCM Fat yield Protein yield MIR CH4 (g/d) 0.11 0.42 0.03 0.19 0.04 MIR CH4 (g/kg of FPCM)0.59 0.18 -0.83 -0.72 -0.77 FPCM -0.02 -0.65 0.20 0.95 0.91 Fat yield 0.01 -0.58 0.76 0.22 0.70 Protein yield -0.01 -0.61 0.78 0.69 0.20 [less ▲]

Detailed reference viewed: 66 (29 ULg)
Full Text
See detailLa dimension "travail", un élément clé pour le maintien de nos systèmes laitiers
Turlot, Amélie; Froidmont, Eric; Bauraind, Catherine et al

in Centre wallon de Recherches agronomomiques (Ed.) 18ème Carrefour des Productions Animales "Nouvelles approches pour une optimisation de nos élevages laitiers" (2013)

Les agriculteurs sont les principaux architectes du milieu rural wallon. En effet, ils assurent la gestion de près de la moitié de la superficie de la Wallonie. On observe néanmoins, depuis quelques ... [more ▼]

Les agriculteurs sont les principaux architectes du milieu rural wallon. En effet, ils assurent la gestion de près de la moitié de la superficie de la Wallonie. On observe néanmoins, depuis quelques années, une régression lente (3%/an) et constante de leur effectif. Confrontés à un contexte changeant, de plus en plus concurrentiel, les agriculteurs sont face à des choix stratégiques difficiles en vue d’optimiser l’efficience de leur exploitation. Pour y parvenir, ils doivent mener une réflexion globale de leur mode de production et intégrer tous les aspects assurant la durabilité de leur exploitation. Pour les aider dans cette démarche, une analyse de la durabilité de 90 exploitations « 100% Lait » (>95% de vaches laitières et pas de culture de rente) a été réalisée dans le cadre de DuraLait et de DuraLait Plus. Ces études sont subsidiées par la DGARNE, Direction de la Qualité. Les piliers économique et social de la durabilité ont été plus particulièrement étudiés dans ces projets. L’organisation du travail a été spécifiquement traitée car elle constitue un enjeu essentiel pour l’avenir de l’agriculture. En effet, les agriculteurs souhaitent soulager la pénibilité de leur travail. Dans un contexte économique difficile, cette dimension est essentielle pour envisager le maintien de l’agriculture dans notre région. Le présent article s’intéresse uniquement aux données relatives à l’organisation du travail. [less ▲]

Detailed reference viewed: 53 (9 ULg)
Full Text
Peer Reviewed
See detailGenetic parameters for methane indicator traits based on milk fatty acids in cows
Kandel, Purna Bhadra ULg; Vanlierde, Amélie ULg; Dehareng, Frédéric et al

in Journal of Dairy Science (2012, July 18)

Dairy production is pointed out for its large methane emission. Therefore, currently studies of factors affecting emission and methods to abate methane emission are numerous. However, an important issue ... [more ▼]

Dairy production is pointed out for its large methane emission. Therefore, currently studies of factors affecting emission and methods to abate methane emission are numerous. However, an important issue is the development of easily obtainable indicators, because they would also allow estimating animal genetic variability of methane emission. Recently methane indicators were proposed using gas chromatrography based milk fatty acid composition. We derived these published methane indicators using 1100 calibration samples directly from mid-infrared (MIR).For the published indicator showing the highest relationship (R2 = 0.88) with Sulfur Hexafluoride 6 methane emission data, genetic parameters for this MIR based indicator were estimated by single trait random regression test-day models from 619,272 records collected from 2007 to 2011 on 71,188 Holstein cows in their first three lactations at Walloon region of Belgium. The average daily heritability was 0.35±0.01, 0.35±0.02 and 0.32±0.02 for the first three lactations, respectively. Similarly, the lactation heritability was 0.67±0.02, 0.72±0.03 and 0.62±0.03. As expected, methane production was higher during the peak milk production depicting the normal lactation curve. The largest differences between estimated breeding values (EBV) of sires having cows in production eructing the highest and the lowest methane content was 21.80, 22.75 and 24.89 kg per lactation for the first three parities, the variances of the EBV of the sires with daughters were 10.67, 12.46, 12.18 kg2. Results were similar for other indicators. This study suggested that methane indicator traits can be predicted by MIR. Genetic parameters also indicated a rather high heritability and genetic variability exist for these published indicators and consequently a potential high genetic variability of methane eructation by dairy cows. Therefore, these first finding might open new opportunities for animal selection programs that include the reduction of methane emission. [less ▲]

Detailed reference viewed: 180 (58 ULg)
Full Text
See detailGenetic parameters for methane indicator traits based on milk fatty acids in cows
Kandel, Purna Bhadra ULg; Vanlierde, Amélie ULg; Dehareng, Frédéric et al

Conference (2012, July 18)

Detailed reference viewed: 51 (12 ULg)
Full Text
See detailConsommation locale de produits animaux : que produire localement avec nos propres ressources végétales ?
Beckers, Yves ULg; Bodson, Bernard ULg; Vancutsem, Françoise ULg et al

in 17ème Carrefour des productions animales (2012, March 07)

Detailed reference viewed: 30 (10 ULg)
Full Text
See detailRelationships between methane emissions of dairy cattle and farm management.
Vanrobays, Marie-Laure ULg; Vanlierde, Amélie ULg; Kandel, Purna Bhadra ULg et al

Poster (2012, February 10)

Livestock is considered as an important contributor to global methane emissions, predominately due to methanogenesis from ruminants. Moreover, these emissions also represent major losses of energy for ... [more ▼]

Livestock is considered as an important contributor to global methane emissions, predominately due to methanogenesis from ruminants. Moreover, these emissions also represent major losses of energy for dairy cows and therefore are linked to production efficiency. The on-going development of predictive equations (e.g., from milk composition) would allow to relate methane emissions to farm management (e.g., nutrition, environment) on a large scale in the Walloon Region of Belgium. Finally, by acquiring improved knowledge of these relationships, contributions to mitigate methane emissions could be based on an improved management of dairy herds. [less ▲]

Detailed reference viewed: 72 (27 ULg)
Full Text
Peer Reviewed
See detailPotential use of milk mid-infrared spectra to predict individual methane emission of dairy cows
Dehareng, Frédéric; Delfosse, Camille; Froidmont, Eric et al

in Animal (2012), 6(10), 1694-1701

Detailed reference viewed: 102 (42 ULg)
Full Text
See detailComparison of fattening performances of booars casrated or immunized against GnRF and evaluation of the vaccination efficiency
Wavreille, Jose; Boudry, Christelle ULg; Romnée, J. M. et al

in EAAP (Ed.) Book of absracts of the 62nd annual meeing of the european federation of animal science (2011, August 29)

Detailed reference viewed: 24 (3 ULg)
Full Text
Peer Reviewed
See detailEstimating daily yield and content of major fatty acids from single milking: First approach
Arnould, Valérie ULg; Froidmont, Eric; Nguyen, Nam et al

Poster (2011, July 11)

Detailed reference viewed: 36 (18 ULg)
Full Text
See detailEstimation de la quantité journalière grasse du lait à partir d'une seule traite (matin ou soir) des composés fins de la matière grasse du lait
Arnould, Valérie ULg; Froidmont, Eric; Nguyen, Nam et al

in 16ième Carrefour des Productions animales: la filière laitière bovine européenne est-elle durable? (2011, March 02)

Detailed reference viewed: 29 (11 ULg)
Full Text
Peer Reviewed
See detailPrediction of individual methane emission by dairy cattle from mid-infrared spectra
Vanlierde, Amélie ULg; Delfosse, Camille; Dehareng, Frédéric et al

in Journal of Dairy Science, 94(E-Suppl. 1) (2011)

Detailed reference viewed: 81 (17 ULg)
Full Text
Peer Reviewed
See detailLe travail : première approche dans des exploitations laitières wallonnes
Turlot, Amélie; Froidmont, Eric; Cardoso, C. et al

in INRA; Institut de l'Elevage (Eds.) 18èmes Journées 3R (Rencontres, Recherches, Ruminants), Paris, 7-8 décembre 2011 (2011)

En 2010, on dénombre 4.819 exploitations laitières en Wallonie, soit une diminution de 70 % depuis 1984. Parmi ces exploitations, il y a 2.133 qui sont spécialisées en lait (OTE 41). Elles disposent, en ... [more ▼]

En 2010, on dénombre 4.819 exploitations laitières en Wallonie, soit une diminution de 70 % depuis 1984. Parmi ces exploitations, il y a 2.133 qui sont spécialisées en lait (OTE 41). Elles disposent, en moyenne, de 56 ha de SAU avec un cheptel de 58 vaches laitières (VL). Le quota pour ce type d'exploitations est de +/- 451.000 l. La taille des fermes moyenne a doublé depuis 1984 or la main-d'oeuvre disponible reste constante. Comment gérer ces structures ? L'étude DiraLait s'intéresse à ce problème en réalisant une analyse globale (économie, sociale, durabilité et performance zootechniques). Le présent article se focalise uniquement sur le temps de travail. [less ▲]

Detailed reference viewed: 45 (6 ULg)