AMELIORATION DE L’ESTIMATION DE LA TRANSMISSIVITE DANS UNE NAPPE ALLUVIALE A L’AIDE DES RESEAUX DE NEURONES ARTIFICIELS

La Transmissivité est souvent estimée en utilisant des données de débits spécifiques quand les données de pompage d'essai ne sont pas disponibles ou quand l'abaissement du niveau est rapidement stabilisé, comme dans le cas des couches karstifiées ou dans les nappes alluviales à « niveau d’eau constant ». Plusieurs auteurs ont étudié la relation entre la transmissivité et le débit spécifique à partir d’une relation empirique du type bs Q a T . . Dans cette étude plus d’une centaine de pompages d’essai ont été réinterprété selon des schémas théoriques adaptés aux différentes configurations hydrogéologiques rencontrées dans la nappe alluviale de la Moselle en Lorraine. Les résultats montrent que la relation entre la Transmissivitéet la productivité des ouvrages est fonction des pertes de charge quadratiques dues au captage. La décomposition de ces dernières montre que ce sont surtout les caractéristiques dimensionnelles des crépines qui sont responsables de l’augmentation du rabattement dans les puits et par conséquent de la diminution du rendement des ouvrages. Dans cette étude, l’utilisation d’un réseau de neurones artificiels a permis d’améliorer l’estimation de la Transmissivité et d’identifier les paramètres responsables de l’augmentation du rabattement observé dans les ouvrages de captage. Le modèle restitue parfaitement les Transmissivitéà partir des valeurs du rayon de la crépine, du coefficient d’emmagasinement, du débit spécifique brut et corrigé des pertes de charge dues au captage

Genetic parameters for somatic cell score according to udder infection status in Valle del Belice dairy sheep and impact of imperfect diagnosis of infection

<p>Abstract</p> <p>Background</p> <p>Somatic cell score (SCS) has been promoted as a selection criterion to improve mastitis resistance. However, SCS from healthy and infected animals may be considered as separate traits. Moreover, imperfect sensitivity and specificity could influence animals' classification and impact on estimated variance components. This study was aimed at: (1) estimating the heritability of bacteria negative SCS, bacteria positive SCS, and infection status, (2) estimating phenotypic and genetic correlations between bacteria negative and bacteria positive SCS, and the genetic correlation between bacteria negative SCS and infection status, and (3) evaluating the impact of imperfect diagnosis of infection on variance component estimates.</p> <p>Methods</p> <p>Data on SCS and udder infection status for 1,120 ewes were collected from four Valle del Belice flocks. The pedigree file included 1,603 animals. The SCS dataset was split according to whether animals were infected or not at the time of sampling. A repeatability test-day animal model was used to estimate genetic parameters for SCS traits and the heritability of infection status. The genetic correlation between bacteria negative SCS and infection status was estimated using an MCMC threshold model, implemented by Gibbs Sampling.</p> <p>Results</p> <p>The heritability was 0.10 for bacteria negative SCS, 0.03 for bacteria positive SCS, and 0.09 for infection status, on the liability scale. The genetic correlation between bacteria negative and bacteria positive SCS was 0.62, suggesting that they may be genetically different traits. The genetic correlation between bacteria negative SCS and infection status was 0.51. We demonstrate that imperfect diagnosis of infection leads to underestimation of differences between bacteria negative and bacteria positive SCS, and we derive formulae to predict impacts on estimated genetic parameters.</p> <p>Conclusions</p> <p>The results suggest that bacteria negative and bacteria positive SCS are genetically different traits. A positive genetic correlation between bacteria negative SCS and liability to infection was found, suggesting that the approach of selecting animals for decreased SCS should help to reduce mastitis prevalence. However, the results show that imperfect diagnosis of infection has an impact on estimated genetic parameters, which may reduce the efficiency of selection strategies aiming at distinguishing between bacteria negative and bacteria positive SCS.</p

Relationship between total bacteria counts and somatic cell counts from mammary quarters infected by mastitis pathogens

This study was conducted to establish the relationship between somatic cell count (SCC) and bacterial shedding from mammary quarters according to mastitis pathogens. Milk samples from 638 mammary quarters were examined for mastitis pathogens, SCC and total bacterial count (TBC). The raw data of SCC and TBC were used to perform descriptive statistics. The significance of the arithmetic mean differences between SCC and TBC according to bacteriological examination results was determined by a two-tailed unpaired t-test. Pearson and Spearman´s correlations were done with logarithmic data and linear regression analyses. The geometric means of the bacteriological examination results were (cells mL-1; CFU mL-1): no growth (52,000; 12,000), coagulase-negative staphylococci (85,000; 17,000), Staphylococcus aureus (587,000; 77,000); other streptococci (432,000; 108,000) and Streptococcus agalactiae (1,572,000; 333,000). The Pearson and Spearman's correlations between SCC and TBC were higher than 0.60 for all mastitis pathogens. The regression analyses slopes showed different increase in TBC with the same increase in SCC according to mastitis pathogens. The slope for S. agalactiae (0.542) was higher than that for other mastitis pathogens. The results suggest that the intensity of inflammatory process was associated with number of mastitis pathogens shedding from the mammary gland.Este estudo foi realizado com objetivo de estabelecer a relação entre contagem de células somáticas (CCS) e a liberação de bactérias de quartos mamários de acordo com os patógenos da mastite. Amostras de leite de 638 quartos mamários foram examinadas para identificação dos patógenos da mastite, CCS e contagem total de bactérias (CTB). Estatísticas descritivas foram utilizadas para avaliar os dados brutos de CCS e CTB. A diferença entre médias para CCS e CTB de acordo com os resultados dos exames bacteriológicos foi avaliada pelo teste T para amostras independentes. Foram realizadas a correlação de Pearson, de Spearman e regressão linear com os dados transformados. As médias geométricas de acordo com os resultados dos exames bacteriológicos foram (células mL-1; UFC mL-1): sem crescimento (52.000; 12.000), estafilococos coagulase negativo (85.000; 17.000), Staphylococcus aureus (587.000; 77000); outros estreptococus (432.000; 108.000) e Streptococcus agalactiae (1.572.000; 333.000). A correlação de Pearson e Spearman entre CCS e CTB foi maior que 0,60 para todos os patógenos da mastite. O coeficiente angular das regressões lineares mostrou diferentes aumentos da CTB como o mesmo aumento da CCS de acordo com os patógenos da mastite. O coeficiente angular para o S. agalactiae (0.542) foi maior em relação aos outros patógenos da mastite. Os resultados sugerem que a intensidade do processo inflamatório foi associada com a quantidade de bactérias da mastite liberada pela glândula mamária