2010
DOI: 10.3168/jds.2009-2599
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Effects of clinical mastitis caused by gram-positive and gram-negative bacteria and other organisms on the probability of conception in New York State Holstein dairy cows

Abstract: The objective of this study was to estimate the effects of different types of clinical mastitis (CM) on the probability of conception in New York State Holstein cows. Data were available on 55,372 artificial inseminations (AI) in 23,695 lactations from 14,148 cows in 7 herds. We used generalized linear mixed models to model whether or not a cow conceived after a particular AI. Independent variables included AI number (first, second, third, fourth), parity, season when AI occurred, farm, type of CM (due to gram… Show more

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Cited by 116 publications
(68 citation statements)
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“…These findings were in accordance with that of previous studies (Gunay and Gunay, 2008;Ahmadzadeh et al, 2009;Hertl et al, 2010;Nava-Trujillo et al, 2010;Yang et al, 2012). Although the correlation of mastitis with high infertility rates is well known, the mechanisms underlying this relationship are not clear and several hypotheses could be formulated.…”
Section: Discussionsupporting
confidence: 94%
“…These findings were in accordance with that of previous studies (Gunay and Gunay, 2008;Ahmadzadeh et al, 2009;Hertl et al, 2010;Nava-Trujillo et al, 2010;Yang et al, 2012). Although the correlation of mastitis with high infertility rates is well known, the mechanisms underlying this relationship are not clear and several hypotheses could be formulated.…”
Section: Discussionsupporting
confidence: 94%
“…Metritis and mastitis perturbation result in several aspects of ovarian function, including retarded follicular growth, reduced circulating and intrafollicular estradiol concentrations, altered duration of luteal phases, and disruption of ovarian cyclic activity [3][4][5][6]. However, infections of the uterus and mammary gland not only cause infertility at the time of infection but reduced fecundity also persists even after resolution of disease [1,7]. An intriguing question about biological mechanisms is how these Gram-negative bacterial infections in tissues distant from the ovary can impact ovarian function?…”
Section: Introductionmentioning
confidence: 97%
“…These herds are relatively large well-managed dairy farms using freestall housing, total mixed ration feeding and parlor milking. Using these data we have generated parameter estimates for our dynamic program model at 3 levels (generic (i.e., pathogen-unidentified), Gram±, and bacteria specific): risk of mastitis (Bar, 2007;Schukken et al, 2010), mortality (Gröhn et al, 2005;Bar et al, 2008a;Hertl et al, 2011;Cha et al, 2013), conception (Wilson et al, 2008;Hertl et al, 2010Hertl et al, , 2014a, milk loss Bar et al, 2007;Schukken et al, 2009;Hertl et al, 2014b), and associated costs (treatment, culture, and discarded milk).…”
Section: Modeling Production and Health-clinical Mastitis (Example 1)mentioning
confidence: 99%