References of "Dardenne, Pierre"
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See detailVariations In Physicochemical And Functional Properties Of Starches Extracted From European Soft Wheat (Triticum Aestivum L.): The Importance To Preserve The Varietal Identity
Massaux, Carine; Sindic, Marianne ULg; Lenartz, Jonathan et al

in Carbohydrate Polymers (2008), 71(1), 32-41

The quality valuation of wheat is based on characteristics like yield, specific weight, protein content and protein quality. Until now. the starch properties are rarely considered as a quality criterion ... [more ▼]

The quality valuation of wheat is based on characteristics like yield, specific weight, protein content and protein quality. Until now. the starch properties are rarely considered as a quality criterion. In this study, we showed the influence of wheat cultivars (Triticum aestivum L.) and culture year on the intrinsic properties of starch, extracted from European wheat grown in the same conditions. For example, starch damage varied from 13.2 to 19.9 CDU in function of the cultivars and contribution of the B-type starch granules (<10 mu m) to the total volume ranged from 11.6% to 29.9%. Starch viscosity at 95 degrees C, characterized with alpha-amylase inactivation by 2 mM AgNO3 addition. varied from 276.5 to 351.5 BU with the wheat cultivars. It is apparent from this study that starch properties were principally influenced by the wheat cultivar and slightly by the culture year. A good relationship between the pasting properties of whole flour and starch were finally established, showing the important role of starch in the whole flour viscosity. A thorough working knowledge of starch properties could lead to an appropriate selection of wheat cultivar, well-adapted to industrial end uses, without encountering processing or end-products quality problems and with most cost-competitive production. [less ▲]

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See detailRelationship between lactoferrin, minerals, and somatic cells in bovine milk
Soyeurt, Hélène ULg; Arnould, Valérie ULg; Bruwier, Damien et al

in Journal of Dairy Science (2008), 91(E-Suppl. 1), 542

Selection for increased mastitis resistance is hampered by lack of available data. Currently, somatic cell count or score are proven indicators. However, it should be a priority to increase the number of ... [more ▼]

Selection for increased mastitis resistance is hampered by lack of available data. Currently, somatic cell count or score are proven indicators. However, it should be a priority to increase the number of available indicator traits for mastitis resistance. The aim of this research was to study the relationships among potential indicator traits as lactoferrin content, concentrations of major minerals in milk (calcium, Ca; sodium, Na; phosphore, P), and somatic cell count. First, 3 calibration equations Breeding and Genetics: Breeding for Milk Quality and Test-Day Model Applications J. Anim. Sci. Vol. 86, E-Suppl. 2/J. Dairy Sci. Vol. 91, E-Suppl. 1 543 were developed using partial least squares regressions to predict the contents of Ca, Na, and P in milk by mid-infrared spectrometry. A total of 1,609 milk samples were collected between March 2005 and May 2006 for 475 cows from 6 dairy breeds. Based on their spectral variability, 100 samples were selected using a principal components approach. The contents of these minerals were estimated by emission spectrometry (ICP-AES). The ratio of standard deviation to standard error of cross validation obtained for the equations predicted the contents of Ca, Na, and P were superior to 2 suggesting the use of these equations in this research. Second, the relationship between lactoferrin, minerals and somatic cells was studied using a random regressions multi-trait animal test-day model. A total of 57,973 milk samples were collected from 94 herds between April 2005 and January 2008 during milk recording in the Walloon part of Belgium. [less ▲]

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See detailInfluence of nitrogen fertilizer treatments on soft wheat starch characteristics
Massaux, Carine; Sindic, Marianne ULg; Lenartz, Jonathan et al

Poster (2008)

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See detailDetermination du profil en acides gras du lait par spectroscopie moyen infrarouge.
Dehareng, Frédéric; Soyeurt, Hélène ULg; Veselko, Didier et al

in 14 emes Recontres autour des recherches sur les ruminants, Paris, les 5et 6 Decembre 2007 (2007, December 01)

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See detailQualité: récolte 2007: encore une récolte difficile à gérer!
Sinnaeve, Geoges; Paridaens, A.-M.; Chandelier, Anne et al

in Livre Blanc: Céréales - Gembloux (2007, September 13)

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See detailBenefit of NIRS for products under protected geographical indication label : the example of the Belgian Ardenne ham.
Sindic, Marianne ULg; Collard, Caroline; Sinnaeve, Georges et al

in Abstracts of the 13th International conference on near infrared spectroscopy (2007, June)

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See detailEffect of the sowing date on physicochemical and fonctional properties of native starches extracted from European soft wheat (Triticum aestivum L.)
Lenartz, Jonathan; Massaux, Carine; Fernandez Pierna, J. A. et al

Conference (2007, May 02)

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See detailWheat starch variability in characteristics and rheological properties: the influence of varieties, harvest years and phytotechnique
Sinnaeve, Georges; Paridaens, A. M.; Massaux, Carine et al

Conference (2007, April 25)

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See detailEtude de la performance de la spectroscopie proche infrarouge pour la mesure de caractéristiques du sol nécessaires au conseil de fumure.
Genot, Valérie ULg; Colinet, Gilles ULg; Dardenne, Pierre et al

in Actes des 9èmes Journées Nationales d'Etude des Sols (2007, April)

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See detailQualité: Aperçu de l'année écoulée - Récolte 2006: pire, ça n'existe peut être pas!
Sinnaeve, Georges; Paridaens, A. M.; Lenartz, J. et al

in Livre Blanc: Céréales - Gembloux (2007, February 28)

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See detailVariabilité importante des caractéristiques des amidons de blés indigènes: vers une utilisation diférenciée des lots (synthèse de 4 années de récolte)
Massaux, Carine; Bodson, Bernard ULg; Paridaens, A.-M. et al

Conference given outside the academic context (2007)

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See detailInfluence de la variété de blé tendre sur les caractéristiques physico-chimiques et les propriétés techno-fonctionnelles de l'amidon
Massaux, Carine; Lenartz, Jonathan; Bodson, Bernard ULg et al

in Industries des Céréales (2007), 151

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See detailGenetic variability of lactoferrin content estimated by mid-infrared spectrometry in bovine milk
Soyeurt, Hélène ULg; Colinet, Frédéric ULg; Arnould, Valérie ULg et al

in Journal of Dairy Science (2007), 90(9), 4443-4450

The effects of lactoferrin (LF) on the immune system have already been shown by many studies. Unfortunately, the current methods used to measure LF levels in milk do not permit the study of the genetic ... [more ▼]

The effects of lactoferrin (LF) on the immune system have already been shown by many studies. Unfortunately, the current methods used to measure LF levels in milk do not permit the study of the genetic variability of lactoferrin or the performance of routine genetic evaluations. The first aim of this research was to derive a calibration equation permitting the prediction of LF in milk by mid-infrared spectrometry (MIR). The calibration with partial least squares on 69 samples showed a ratio of standard error of cross-validation to standard deviation equal to 1.98. Based on this value, the calibration equation was used to establish an LF indicator trait (predicted LF; pLF) on a large number of milk samples (n = 7,690). A subsequent study of its variability was conducted, which confirmed that stage of lactation and lactation number influence the overall pLF level. Small differences in mean pLF among 7 dairy breeds were also observed. The pLF content of Jersey milk was significantly higher than that in Holstein milk. Therefore, the choice of breed could change the expected LF level. Heritability estimated for pLF was 19.7%. The genetic and phenotypic correlations between somatic cell score and pLF were 0.04 and 0.26, respectively. As somatic cell score increases in presence of mastitis, this observation seems to indicate that pLF, or a function of observed pLF, compared with expected LF might have potential as an indicator of mastitis. The negative genetic correlation (−0.36) between milk yield and pLF could indicate an undesirable effect of selection for high milk production on the overall LF level. [less ▲]

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