A phenotypical approach to the effects of production traits, parturition, puerperium and body condition on commencement of luteal activity in high yielding dairy cows

Boldt, Ariane; Becker, Frank; Martin, Gunter; Nürnberg, Gerd; Römer, Anke; Kanitz, W.

doi:10.1016/j.anireprosci.2015.03.013

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…In the current experiment, BCS at calving was not correlated with length of PPA (P > 0.10). Calving difficulty was not reflected in PPA length (94.4 ± 11.5 vs. 91.2 ± 7.9 d in assisted or unassisted calving, respectively; P > 0.10), in contrast to findings by Sanz et al (2004) in beef or Boldt et al (2015) in dairy heifers. However, in our experiment, calves had ad libitum access to their dams, which can delay the resumption of cyclicity; restricted suckling may have shortened the PPA interval, as suggested by Sanz et al (2003) for this beef breed in moderate BCS at calving.…”

Section: Reproductive Performancementioning

confidence: 59%

First calving performance and physiological profiles of 2-year-old beef heifers according to their pre-breeding growth

Rodríguez-Sánchez¹,

Sanz²,

Ferrer³

et al. 2017

Can. J. Anim. Sci.

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This experiment was designed to assess the effects of different feeding strategies before first breeding at 15 mo on performance and physiological parameters of beef heifers during their gestation and first lactation. During preweaning (PRE, 0-6 mo) and postweaning periods (POST, 6-15 mo), 25 Parda de Montaña heifers were fed to achieve gains of 1.0 kg d −1 (HI) or 0.7 kg d −1 (LO) in a 2 × 2 factorial design (HI-HI, HI-LO, LO-HI, and LO-LO). Although calf birth weights did not differ, heifers from LO-LO treatment had the greatest calving assistance (80%), probably because they were lighter than the rest (436 ± 39 kg body weight, P < 0.01) and had the smallest external pelvic area (19.5 ± 2.0 dm 2 , P < 0.01). Milk production and calf gains during lactation were similar among treatments. Cows from POST-HI treatment tended to be cyclic earlier than POST-LO ones (82 ± 8.4 and 106 ± 9.4 d post partum, respectively; P = 0.06). Feeding managements did not influence metabolic (glucose, cholesterol, nonesterified fatty acid, β-hydroxybutyrate, and urea) or endocrine (insulin-like growth factor I and leptin) profiles of heifers. Continued low feeding levels before breeding heifers at 15 mo are not recommended, because they may hinder primiparous calving performance.

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Section: Reproductive Performancementioning

confidence: 59%

First calving performance and physiological profiles of 2-year-old beef heifers according to their pre-breeding growth

Rodríguez-Sánchez¹,

Sanz²,

Ferrer³

et al. 2017

Can. J. Anim. Sci.

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“…Our transformation factor to compare skim milk with full-fat milk was within that reported range. In the study of Boldt et al (2015), the Pearson correlation coefficient for a RIA with the same on-farm device and test kit for P4 was 0.72 and therefore higher than the Spearman correlation for our Where prog_mean = arithmetic mean progesterone (P4) value; C-LA1, C-LA2, and C-LA3 = postpartum interval to commencement of luteal activity (wk) with qualitative inspection of P4 profile, prog_mean as threshold, or 3 ng/mL as threshold, respectively; P-LA2 and P-LA3 = proportion of luteal activity (P-LA) with prog_mean and 3 ng/mL as threshold, respectively. laboratory ELISA.…”

Section: Methodsmentioning

confidence: 99%

Genetic analysis of new progesterone-based fertility traits in dairy cows measured on-farm

Sorg

Wensch-Dorendorf

Schöpke

et al. 2017

Journal of Dairy Science

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The objectives of this study were (1) to analyze the agreement of a standard laboratory ELISA for progesterone (P4) with an automated on-farm ELISA kit operated under commercial conditions in 1,297 milk samples from 50 dairy cows; (2) to study the influence of the method of detection of luteal activity on genetic parameters of fertility traits based on P4 measured with an automated on-farm ELISA once weekly from wk 3 to 9 postpartum in the milk of 1,304 cows; and (3) to study the influence of sampling frequency (once or twice weekly from wk 3 to 9) on the same traits from 296 cows. Luteal activity can be detected when there is an active corpus luteum in the ovary producing P4 and indicating the onset of reproductive cyclicity after calving. The on-farm ELISA overestimated P4 contents by a mean square error of prediction of 2.76 ng/mL and had an intermediate Spearman correlation with the laboratory kit (0.54). For the second objective, the postpartum interval to the commencement of luteal activity (C-LA), proportion of luteal activity between d 15 and 63 postpartum (P-LA), calculated as the number of samples above the threshold for high P4 values divided by the number of all samples, and delay of first ovulation (DOV1), defined as C-LA occurring later than d 45 postpartum, were derived from the P4 profiles. Both C-LA and DOV1 were determined by (a) thorough qualitative visual inspection of the profile, (b) the profile's mean as threshold for the first increase in P4 postpartum, indicating commencement of luteal activity, and (c) 3 ng/mL as threshold for the first increase in P4, a value that has been used by many other studies. Similarly, P-LA was determined by using methods (b) and (c). Estimates of heritability were 0.04 to 0.13 for C-LA, 0.12 to 0.23 for P-LA, and 0.03 to 0.07 for DOV1. Genetic correlation of P-LA with C-LA and with the profile's mean P4 was -1.00. The profile's mean had a higher estimate of heritability (0.11-0.12) than C-LA or DOV1. It can be calculated as the arithmetic mean of all P4 values of a profile, whereas C-LA, P-LA, and DOV1 need a definition of a threshold for high P4 values. We therefore suggest the profile's mean as a promising candidate for further research. For the third objective, once-weekly sampling was mimicked by neglecting every second sample, and C-LA and DOV1 shifted toward a later onset of cyclicity. Thus, a common standard for sampling regimen and detection algorithm is essential to avoid incompatibility between studies.

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“…Milk progesterone concentration is a relevant regulator of events during the estrus cycle. In dairy cows, progesterone level can be affected by many factors, including cow health status (Spencer et al 2007, Arndt et al 2009, Hansen 2011, Boldt et al 2014.…”

Section: Introductionmentioning

confidence: 99%

Polish Journal of Veterinary Sciences

Urbonavičius

Antanaitis

Žilaitis

et al. 2020

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There is an increased interest in using automatic milking systems (AMS) to indirectly assess the welfare of dairy cows, but knowledge on analyzing the association between lameness, milk yield characteristics, and reproductive performance in cows is still insufficient. The main aims of this study were to evaluate the influence of lameness on several AMS variables and reproductive performance indicators during the early stage of lactation and estrus in Lithuanian Black and White dairy cows, as well as to assess the associations between lameness, productivity and reproductive efficiency. A total of 418 milking cows (50.3±1.2 d postpartum) without any apparent reproductive disorder were monitored for hoof health status. Cows were assigned to two groups on the basis of visual locomotion scoring: "non-lame"cows (group 1; 74.20%) and cows presenting "lameness" (lame cows) (group 2; 25.80%).Productive and milking performances of dairy cows were recorded from 50 to 100 days in milk (DIM) and 1 day after the first estrus. The lameness was predominantly localized on the hind feet (79.60%) and less frequently -on the front feet (20.40%; p<0.001). Furthermore, the lameness had a tendency to decrease milk production (4.24%; p<0.05) and increase the difference in milk yield between rear and front quarters of the udder (1.20%; p<0.05). The frequency of milking (5.19%) was lower in lame cows (p<0.05). The lame cows during estrus showed a more pronounced decrement in milk yield and milking frequency (p<0.05), and also higher milk progesterone concentration values (1.55-1.76 time's; p<0.001), and an increasing number of inseminations (11.69%; p<0.05) were observed. The results highlighted that analysis of data from AMS programs can be a successful tool for reducing risk factors related to the effective management of reproductive performance and hoof health of dairy cows.

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A phenotypical approach to the effects of production traits, parturition, puerperium and body condition on commencement of luteal activity in high yielding dairy cows

Cited by 4 publications

References 16 publications

First calving performance and physiological profiles of 2-year-old beef heifers according to their pre-breeding growth

First calving performance and physiological profiles of 2-year-old beef heifers according to their pre-breeding growth

Genetic analysis of new progesterone-based fertility traits in dairy cows measured on-farm

Polish Journal of Veterinary Sciences

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