Estimated Genetic Correlations Between Disease and Yield Traits in Dairy Cattle

Simianer, Henner; Solbu, H.; Schaeffer, L.R.

doi:10.3168/jds.s0022-0302(91)78632-3

Cited by 121 publications

(82 citation statements)

References 10 publications

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“…Kelton et al, 1998), the difference was not large compared with the data recorded in a large scale in the United States of America (Zwald et al, 2004a). The estimate of heritability for MAST (0.05) was lower than that found in other studies with a threshold model (Kadarmideen et al, 2000;Heringstad et al, 2005), but consistent with estimates of Simianer et al (1991) and Heringstad et al (2003). Using data from Ontario, Uribe et al (1995) found higher heritabilities for resistance to MAST in the first lactation (0.15); however, when data from all lactations were included, the heritability was not different from 0.…”

Section: Mastsupporting

confidence: 39%

Genetic parameters for producer-recorded health data in Canadian Holstein cattle

Neuenschwander

Miglior

Jamrozik

et al. 2012

Animal

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Health traits are of paramount importance for economic dairy production. Improvement in liability to diseases has been made with better management practices, but genetic aspects of health traits have received less attention. Dairy producers in Canada have been recording eight health traits (mastitis (MAST), lameness (LAME), cystic ovarian disease (COD), left displaced abomasum (LDA), ketosis (KET), metritis (MET), milk fever (MF) and retained placenta (RP)) since April 2007. Genetic analyses of these traits were carried out in this study for the Holstein breed. Edits on herd distributions of recorded diseases were applied to the data to ensure a sufficient quality of recording. Traits were analysed either individually (MAST, LAME, COD) or were grouped according to biological similarities (LDA and KET, and MET, MF and RP) and analysed with multiple-trait models. Data included 46 104 cases of any of the above diseases. Incidence ranged from 2.3% for MF to 9.7% for MAST. MET and KET also had an incidence below 4.0%. Variance components were estimated using four different sire threshold models. The differences between models resulted from the inclusion of days at risk (DAR) and a cow effect, in addition to herd, parity and sire effects. Models were compared using mean squared error statistic. Mean squared error favoured, in general, the sire and cow within sire model with regression on DAR included. Heritabilities on the liability scale were between 0.02 (MET) and 0.21 (LDA). There was a moderate, positive genetic correlation between LDA and KET (0.58), and between MET and RP (0.79).

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Section: Mastsupporting

confidence: 39%

Genetic parameters for producer-recorded health data in Canadian Holstein cattle

Neuenschwander

Miglior

Jamrozik

et al. 2012

Animal

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“…Among these diseases, clinical mastitis is the most costly disease of the dairy industry [26] due to decreased production, costs of treatment, extra labor, and an increased rate of cow replacement [5]. An antagonistic genetic correlation between milk production and risk of disease showed that the improvement of milk production consequently increased the incidence of clinical mastitis [104,110,112]. augmentation des mammites cliniques chez des vaches laitières à haute production serait causée par une détérioration des mécanismes de défense de la mamelle suite à une hypercétonémie.…”

Section: Introductionmentioning

confidence: 99%

Hyperketonemia and the impairment of udder defense: a review

et al. 2000

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-The objective of this study was to review the possible relationships between hyperketonemia and the function of phagocytes with respect to the bovine udder defense mechanism. We hypothesize that an increased incidence of clinical mastitis in high-producing cows is caused by the impairment of the udder defense mechanism during hyperketonemia. First, we review the acute phase of udder defense mechanisms after intramammary infection. The physiological changes of cows in negative energy balance are subsequently discussed. Finally, possible relationships between udder defense and physiological changes during negative energy balance, especially hyperketonemia, are reviewed. The three stages of an acute phase of udder defense are: (1) immediately eliminating invading pathogens by phagocytes, (2) releasing inflammatory substances, especially chemoattractants, and (3) migration of polymorphonuclear leukocytes into the infected udder. Leukocytes from hyperketonemia subjects show a lower capacity of the phagocytic defense mechanism. In addition, the phagocytic and bactericidal capacities of neutrophils are reduced when these cells are acting in the presence of high concentrations of ketone bodies. Lower amounts of cytokine production after bacterial infection are observed in ketotic subjects. The chemotactic capacity of blood leukocytes is impaired in leukocytes obtained from ketotic cows. Lower numbers of blood leukocytes are observed in ketotic cows. In conclusion, the impairment of the udder defense mechanism in negative energy balance cows seems related to hyperketonemia. ketosis / negative energy balance / mastitis / udder defense mechanism / cow Résumé -Hypercétonémie et diminution des défenses mammaires : une synthèse. L'objectif de cette étude est de présenter des relations possibles entre l'hypercétonémie et la fonction des phagocytes pour ce qui est des mécanismes de défense de la mamelle. Notre hypothèse est qu'une Vet. Res. 31 (2000) 397-412 397

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“…For instance, the estimated genetic correlations between milk yield and indicators of mastitis suggest that genetic proofs for production traits might be an important source of information for improving an ANN's ability to predict mastitis (Miller 1984;Banos and Shook 1990;Simianer et al 1991;Schutz 1994). Furthermore, SCC itself has a high genetic correlation with mastitis (0.6 to 0.8), indicating that a pattern may exist (Shook and Schutz 1994).…”

Section: Ri =mentioning

confidence: 99%

“…This last point stresses the fact that there are many different variables that influence the occurrence of mastitis. There have been problems associated with statistical modelling of mastitis in the past when all of these factors were either not present or not recorded consistently (Seykora and McDaniel 1986;Rogers et al 1991;Kehrli and Shuster 1994;Schutz 1994;Zhang et al 1994), in addition to the possible limitations of computer power using conventional modelling approaches (Simianer et al 1991;Emanuelson et al 1993).…”

mentioning

confidence: 99%

Investigation into the production and conformation traits associated with clinical mastitis using artificial neural networks

Yang¹,

Lacroix²,

Wade³

2000

Can. J. Anim. Sci.

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. 2000. Investigation into the production and conformation traits associated with clinical mastitis using artificial neural networks. Can. J. Anim. Sci. 80: [415][416][417][418][419][420][421][422][423][424][425][426]. A data set comprising milk-recording and conformation data was used to investigate the usefulness of artificial neural networks in detecting influential variables in the prediction of incidences of clinical mastitis. Specifically, these data contained test-day records from dairy herd analysis, phenotypic cow scores for conformation and genetic conformation proofs for cows and their sires. The data were analysed using the milk-recording data only, the conformation data only, and a combination of the two. Results from sensitivity analyses, performed with trained neural nets, indicated that stage of lactation, milk yield on test day, cumulative milk yield and somatic cell count were the major production factors influencing the ability to detect the occurrence of clinical mastitis. Among the conformation traits, such variables as phenotypic scores for rear-teat placement, dairy character and size, cow proof for dairy character, sire reliability for final score and sire proofs for pin-setting (desirability) and loin strength were found to have some influence on the network's predictive ability, although they were all very minor in relation to the production variables mentioned. As a group, cow genetic proofs seemed more important than either sire genetic proofs or cow phenotypic scores. Given the neural network's general abilities to determine the major factors related to the presence or absence of mastitis on a given test day, it may be appropriate to investigate the possibility of using this technology for actual prediction purposes.

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Estimated Genetic Correlations Between Disease and Yield Traits in Dairy Cattle

Cited by 121 publications

References 10 publications

Genetic parameters for producer-recorded health data in Canadian Holstein cattle

Genetic parameters for producer-recorded health data in Canadian Holstein cattle

Hyperketonemia and the impairment of udder defense: a review

Investigation into the production and conformation traits associated with clinical mastitis using artificial neural networks

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