본 연구는 젖소에서 배란동기화 프로그램 적용 후 임신율에 영향을 미치는 요인을 분석하기 위하여 실시하였다. 분석에 포함된 자료는 젖소 목장 22개소내 사육 젖소 1,952두에 정시 인공수정을 위하여 실시한 배란동기화 프로그램(PG+EB, Ovsynch, CIDR-ovsynch), 젖소의 산차, 신체상태지수(BCS), 전 산차 분만일, 인공 수정일 및 임신 진단 결과를 포함하였으며, 통계분석은 SAS 로지스틱 회기분석을 이용하였다. 분석 결과, 목장(p = 0.005), 산차(p = 0.0001), BCS(p < 0.005) 및 인공수정 계절(p < 0.05)이 유의적으로 임신율에 영향을 미쳤으며, 공태기간은 경향성을 나타내었다(p < 0.1). 배란동기화 프로그램에 따른 임신율의 유의적인 차이는 인정되지 않았으나, 산차와 배란동기화 프로그램 사이에 교호관계가 성립되었다(p < 0.005). PG+EB 프로그램을 사용 시에는 초산 차에 비해 2산 이상의 경산우에서 임신율의 감소(odds ratio [OR]: 0.60, p < 0.0001)가 있었으나, Ovsynch 프로그램을 사용 시에는 초산 차에 비해 2산 이상의 경산우에서 임신율이 증가하는 경향이 있었으며(OR: 1.44, p < 0.1), CIDR-ovsynch 프로그램을 사용 시에는 초산 차와 2산 이상의 경산우에서 임신율의 차이가 없었다(p > 0.05). BCS가 3.00을 이상일 때가 2.75 이하일 때 보다 1.41배 임신 가능성이 증가되었으나, 인공수정을 여름에 실시할 때가 봄에 실시할 때에 비해 임신 가능성이 0.73배로 감소되었다. 인공 수정 시 공태기간이 150일을 경과 할 때가 150일 미만일 때 보다 임신 가능성이 1.20배 증가 경향이 있었다. 결론적으로, 젖소에서 배란동기화 프로그램 적용 후, 목장, 젖소의 산차, BCS, 공태기간 및 인공수정 계절이 임신율에 영향을 미치는 중요한 요인이었다. 또한 배란동기화 프로그램과 산차 사이 교호관계가 성립되었으며, PG+EB 프로그램 사용 시 초산 차에 비해 2산 이상의 경산우에서 임신율의 감소가 있었다.
본 연구는 젖소에서 배란동기화 프로그램 적용 후 임신율에 영향을 미치는 요인을 분석하기 위하여 실시하였다. 분석에 포함된 자료는 젖소 목장 22개소내 사육 젖소 1,952두에 정시 인공수정을 위하여 실시한 배란동기화 프로그램(PG+EB, Ovsynch, CIDR-ovsynch), 젖소의 산차, 신체상태지수(BCS), 전 산차 분만일, 인공 수정일 및 임신 진단 결과를 포함하였으며, 통계분석은 SAS 로지스틱 회기분석을 이용하였다. 분석 결과, 목장(p = 0.005), 산차(p = 0.0001), BCS(p < 0.005) 및 인공수정 계절(p < 0.05)이 유의적으로 임신율에 영향을 미쳤으며, 공태기간은 경향성을 나타내었다(p < 0.1). 배란동기화 프로그램에 따른 임신율의 유의적인 차이는 인정되지 않았으나, 산차와 배란동기화 프로그램 사이에 교호관계가 성립되었다(p < 0.005). PG+EB 프로그램을 사용 시에는 초산 차에 비해 2산 이상의 경산우에서 임신율의 감소(odds ratio [OR]: 0.60, p < 0.0001)가 있었으나, Ovsynch 프로그램을 사용 시에는 초산 차에 비해 2산 이상의 경산우에서 임신율이 증가하는 경향이 있었으며(OR: 1.44, p < 0.1), CIDR-ovsynch 프로그램을 사용 시에는 초산 차와 2산 이상의 경산우에서 임신율의 차이가 없었다(p > 0.05). BCS가 3.00을 이상일 때가 2.75 이하일 때 보다 1.41배 임신 가능성이 증가되었으나, 인공수정을 여름에 실시할 때가 봄에 실시할 때에 비해 임신 가능성이 0.73배로 감소되었다. 인공 수정 시 공태기간이 150일을 경과 할 때가 150일 미만일 때 보다 임신 가능성이 1.20배 증가 경향이 있었다. 결론적으로, 젖소에서 배란동기화 프로그램 적용 후, 목장, 젖소의 산차, BCS, 공태기간 및 인공수정 계절이 임신율에 영향을 미치는 중요한 요인이었다. 또한 배란동기화 프로그램과 산차 사이 교호관계가 성립되었으며, PG+EB 프로그램 사용 시 초산 차에 비해 2산 이상의 경산우에서 임신율의 감소가 있었다.
The objective of this study was to determine the risk factors associated with pregnancy following 3 synchronization protocols in dairy cows. Data were collected on 1,952 cows from 22 dairy farms, including synchronization protocols ($PGF_{2{\alpha}}$ + estradiol benzoate [PG+EB], Ovsynch,...
The objective of this study was to determine the risk factors associated with pregnancy following 3 synchronization protocols in dairy cows. Data were collected on 1,952 cows from 22 dairy farms, including synchronization protocols ($PGF_{2{\alpha}}$ + estradiol benzoate [PG+EB], Ovsynch, and CIDR-ovsynch), cow parity, body condition score (BCS), and dates of previous calving, insemination and conception. The odds ratio (OR) for pregnancy were analyzed by logistic regression using the LOGISTIC procedure in SAS. The analysis revealed that farm (p = 0.005), cow parity (p = 0.0001), BCS (p < 0.005), and AI season (p < 0.05) significantly affected and calving to AI interval tended to affect (p 0.05), cow parity and synchronization protocols showed a significant interaction (p < 0.005); the OR (0.60) was significantly lower (p < 0.0001) for multiparous cows compared to primiparous cows using PG+EB, whereas the OR (1.44) tended to be higher (p 0.05). Cows with BCS ${\geq}$ 3.00 were more likely pregnant (OR: 1.41) compared with cows having BCS ${\leq}$ 2.75, whereas cows inseminated during summer had a lower OR (0.73) compared with those inseminated during spring. Cows with a calving to AI interval > 150 days were more likely to be pregnant (OR: 1.20) compared with cows with a calving to AI interval ${\leq}$ 150 days. In conclusion, the OR for pregnancy following synchronization protocols in dairy cows was affected by farm, parity, BCS, calving to AI interval of the cow, and AI season, and there was a significant interaction between cow parity and synchronization protocols; the OR for pregnancy was lower for multiparous cows compared with primiparous cows using the PG+EB protocol.
The objective of this study was to determine the risk factors associated with pregnancy following 3 synchronization protocols in dairy cows. Data were collected on 1,952 cows from 22 dairy farms, including synchronization protocols ($PGF_{2{\alpha}}$ + estradiol benzoate [PG+EB], Ovsynch, and CIDR-ovsynch), cow parity, body condition score (BCS), and dates of previous calving, insemination and conception. The odds ratio (OR) for pregnancy were analyzed by logistic regression using the LOGISTIC procedure in SAS. The analysis revealed that farm (p = 0.005), cow parity (p = 0.0001), BCS (p < 0.005), and AI season (p < 0.05) significantly affected and calving to AI interval tended to affect (p 0.05), cow parity and synchronization protocols showed a significant interaction (p < 0.005); the OR (0.60) was significantly lower (p < 0.0001) for multiparous cows compared to primiparous cows using PG+EB, whereas the OR (1.44) tended to be higher (p 0.05). Cows with BCS ${\geq}$ 3.00 were more likely pregnant (OR: 1.41) compared with cows having BCS ${\leq}$ 2.75, whereas cows inseminated during summer had a lower OR (0.73) compared with those inseminated during spring. Cows with a calving to AI interval > 150 days were more likely to be pregnant (OR: 1.20) compared with cows with a calving to AI interval ${\leq}$ 150 days. In conclusion, the OR for pregnancy following synchronization protocols in dairy cows was affected by farm, parity, BCS, calving to AI interval of the cow, and AI season, and there was a significant interaction between cow parity and synchronization protocols; the OR for pregnancy was lower for multiparous cows compared with primiparous cows using the PG+EB protocol.
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문제 정의
Determination of potential factors influencing the probability of pregnancy may provide valuable information for veterinary practitioners and farmers to maintain proper reproductive performance in dairy herds. Therefore, the objective of this study was to determine the risk factors for the probability of pregnancy following 3 synchronization protocols in dairy herds.
제안 방법
9 g of progesterone (CIDRTM, InterAg, Hamilton, New Zealand) between the first GnRH and cloprostenol injections (CIDRovsynch). Before initiation of the synchronization protocols, the cows received an ultrasonography to determine the ovarian structures (CL or follicles) (Tringa Linear VET Ultrasound scanner fitted with a 5.0 MHz array transducer, Esaote Pie Medical, Maastricht, the Netherlands, or Sonoace 600 fitted with a 5.0 MHz linear-array transducer, Medison, Seoul, Korea). Cows with a CL (> 20 mm diameter; luteal phase) received 1 of the 3 synchronization protocols (PG+EB, Ovsynch, or CIDR-ovsynch), whereas cows without a CL (presumably, metestrous or the other phases except luteal phase) received either Ovsynch or CIDR-ovsynch.
4) from 22 dairy farms. The data set included detailed information on the farm, synchronization protocols, cow parity, and body condition score (BCS) of the cow at the time of treatment, and dates of previous calving, insemination and conception. Table 1 listed independent variables that described farm, synchronization protocols, parity, BCS, and calving to AI interval of the cow, and TAI season.
, Cary, NC, USA). The logistic regression model included farm, synchronization protocols, cow parity, BCS, calving to AI interval, AI season, and the interactions between these variables. Backward stepwise regression was used in all models, and elimination was performed based on the Wald statistic criterion when p > 0.
대상 데이터
Data were collected on 1,952 cows (609 primiparous and 1,343 multiparous; mean [± SD] parity = 2.3 ± 1.4) from 22 dairy farms.
The study was conducted on 22 Holstein dairy farms (AV) located in Chungcheong Province. All cows were fed a total mixed ration and milked twice daily.
데이터처리
Backward stepwise regression was used in all models, and elimination was performed based on the Wald statistic criterion when p > 0.11.
이론/모형
3; ranges of 151-364 days), whereas AI season was grouped as spring (March to May), summer (June to August), fall (September to November) and winter (December to February). The probability for pregnancy was analyzed by logistic regression using the LOGISTIC procedure in SAS (version 9.2, SAS Institute Inc., Cary, NC, USA). The logistic regression model included farm, synchronization protocols, cow parity, BCS, calving to AI interval, AI season, and the interactions between these variables.
성능/효과
Taken together, our results indicated that careful consideration of farm management including nutrition (BCS), calving to AI interval (not early time point), strategies to reduce heat stress during summer, such as use of fans and sprinklers, might be needed to increase the probability for pregnancy following synchronization protocols in dairy herds. Additionally, the Ovsynch or CIDR-ovsynch protocol is preferable in multiparous cows than the PG+EB protocol.
The final model revealed that farm (p = 0.005), cow parity (p = 0.0001), BCS (p < 0.005), and AI season (p < 0.05) significantly affected, and calving to AI interval tended to affect (p < 0.1) the probability for pregnancy (Table 2).
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