Factors affecting reproductive performance of Holstein heifers

Chebel, R.C.; Braga, F. A.; Dalton, J.C.

doi:10.1016/j.anireprosci.2006.09.010

Cited by 30 publications

(31 citation statements)

References 21 publications

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“…In the present study, however, pregnancy losses in both groups were 18.9%, which are in agreement with the results of previous studies (Smith and Stevenson, 1995;Fricke et al, 1998;Rivera et al, 2004) which reported that 5% to 20.5% of pregnancies in lactating dairy heifers were lost between 30 and 75 days of gestation. In addition, the proportion of Holstein heifers which experienced pregnancy loss between 40 and 90 days of gestation was 3.4% (Chebel et al, 2007). As expected, PR to second AI was higher for CGPG than for GPG heifers, while no differences were detected in cumulative PRs to third, and upto the fourth AI between the two groups (Table 4).…”

supporting

confidence: 62%

The effect of a progesterone (P4) intravaginal device (CIDR) on resynchronisation of oestrus and embryonic loss in previously timed inseminated dairy heifers

Alnimer

2009

Animal

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A study was done to evaluate the effect of using progesterone (P 4 ) intravaginal device (CIDR: controlled internal drug-releasing dispenser) to synchronise the return to oestrus of previously timed inseminated (TAI) dairy heifers, and to evaluate embryo survival and pregnancy rate (PR) in the return to oestrus heifers. At the onset of the artificial insemination (AI) breeding period (day 29), heifers were randomly assigned into two groups (treated group CGPG, n 5 79) and (control group GPG, n 5 83). Every heifer in both groups was injected with gonadotropin-releasing hormone (GnRH) agonist and prostaglandin F2-alpha (PGF 2a ) as follows: GnRH on day 29; PGF 2a on day 22; GnRH and TAI on day 0. Heifers in both groups received TAI within 30 min after the second GnRH injection. Artificial insemination at first breeding was conducted for all heifers during 55 days from day 0. On day 14 after timed insemination, every heifer in the CGPG group received CIDR device for 6 days. Within 3 days after CIDR removal, more heifers in CGPG group showed oestrus within 1.9 days compared to heifers that showed oestrus within 2.9 days in the control. Within 10 days after CIDR removal, more heifers in the CGPG group showed oestrus within 2.4 days compared to heifers that showed oestrus within 6.7 days in the control. PRs on days 30 and 55 were not different between both groups, while PR on day 55 during September were higher ( P 5 0.032) in CGPG group (58.0%) than GPG group (37.0%). In addition, PR from first to second AI was higher ( P 5 0.037) for CGPG group (79.8%) than for GPG group (65.1%) but it was similar after that. Pregnancy losses between days 30 and 55 tended to be lower ( P 5 0.089) for the CGPG group (12.7%) compared to 25.1% for the GPG group. Interval between first and second AI was lower ( P 5 0.052) for the CGPG group (27.5 6 1.6 days) compared to 31.6 6 1.3 days for heifers in the GPG group but no differences were detected for intervals from second to third AI and from third to fourth AI between the two groups. Number of services per pregnancy was not different between CGPG and GPG groups. Results indicate that the CIDR device improved synchronisation to return to oestrus and increased PR to first AI during high temperature months by reducing embryonic losses.

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supporting

confidence: 62%

The effect of a progesterone (P4) intravaginal device (CIDR) on resynchronisation of oestrus and embryonic loss in previously timed inseminated dairy heifers

Alnimer

2009

Animal

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“…In general, differences in AFC of temperate breeds kept in the tropics are largely attributed to differences in management practices (Avendaño-Reyes et al 2010). The seasonal variability of AFS could, however, be associated with variability of the quantity and quality of feeds which in turn affects the prepubertal growth and development of calves and as a result, a high proportion of underfed heifers in adverse conditions do not reach puberty at the right time (Chebel et al 2007). Additionally, the wide variations of both AFS and AFC over the years and the overall improving trend indicate influence of various aspects of the environment on the animals and more specifically management practices and the climate (Ansari-Lari et al 2009).…”

Section: Discussionmentioning

confidence: 97%

Study on reproductive performance of Holstein–Friesian dairy cows at Alage Dairy Farm, Rift Valley of Ethiopia

Fekadu¹,

Kassa

Belehu

2010

Trop Anim Health Prod

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A retrospective study was carried out to evaluate the reproductive performance of Holstein-Friesian cattle in Alage Dairy Farm in the Rift Valley of Ethiopia using data recorded from July 1983 to June 2005. Data of cows with complete information were considered, and a total of 1,104 records for calving to conception (Cal-Con), calving interval (CI), and number of services per conception (NSC), and 721 records for age at first service (AFS) and at first calving (AFC) were analyzed. The overall means (± S.E.) of AFS, AFC, Cal-Con and CI, and NSC were 991.4 ± 24.3, 1,265 ± 24.3, 285.8 ± 18.9, 561.3 ± 18.9 days and 1.69 ± 0.1, respectively. Parity significantly influenced NSC, Cal-Con, and CI. Season and year showed a significant effect on all the parameters, indicating the role of the environment and more specifically the influence of nutritional conditions at least for the long AFS and AFC, management practices, and climate on reproductive performance of the study herd. A more focused study to discern the elements of the reproductive constraints have been recommended.

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“…Rudolf (2010) stated that the first estrus will occur when the cattle reaches the minimum weight, rather than reaching a certain age. Puberty in cattle are influenced by genetics (Nogueira, 2004), feed and weaning age (Guggeri et al, 2014), maintenance management and climate (Chebel et al, 2007). These factors will indefinitely affect to body weight and cattle growth levels (Abeygunawardena and Dematewewa 2004).…”

Section: Vaginal Smear Testmentioning

confidence: 99%

Predicting the age and weight at puberty of Ongole Grade cattle using nonlinear mathematical model in Kebumen Farmer Association

Maharani

Amrullah

Widayati

et al. 2017

J. Indonesian Trop. Anim. Agric.

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ABSTRAKPenelitian ini bertujuan untuk mengevaluasi penggunaan model matematika non-linear dalam memprediksi umur dan bobot saat pubertas sapi Peranakan Ongole (PO). Data yang digunakan berupa catatan bobot badan (768) ABSTRACTThis research is aimed to evaluate the nonlinear mathematical model in predicting the age and weight of Kebumen Ongole Grade (PO) cattle at puberty. The data used in this research was weight recordings of (768) PO cattle, ranging from calf (< 1 month) to adult (60 months), collected by Kebumen PO cattle Breeder Association (ASPOKEB) from 2013 to 2015. These cattle were reared by a group of farmers located in six sub-districts: Mirit, Lembu Purwo, Ambal, Puring, Petanahan, and Klirong in Kebumen district, Jawa Tengah Province. Brody, Bertalanfy, Logistic and Gompertz mathematical models were used to analyze the data. The analysis showed that the R 2 of the four models classify high in the category (R 2 >0.70). Mature weight (A) of PO cattle predicted by Logistic (349 kg) and Gompertz (358 kg) were most appropriate. Out of the four models, the Logistic model was the most accurate in predicting the weight at puberty (174 kg) of PO cattle, but all observed cattle are still in the follicular phase.

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Factors affecting reproductive performance of Holstein heifers

Cited by 30 publications

References 21 publications

The effect of a progesterone (P4) intravaginal device (CIDR) on resynchronisation of oestrus and embryonic loss in previously timed inseminated dairy heifers

The effect of a progesterone (P4) intravaginal device (CIDR) on resynchronisation of oestrus and embryonic loss in previously timed inseminated dairy heifers

Study on reproductive performance of Holstein–Friesian dairy cows at Alage Dairy Farm, Rift Valley of Ethiopia

Predicting the age and weight at puberty of Ongole Grade cattle using nonlinear mathematical model in Kebumen Farmer Association

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