用传统或x分选精液或胚胎移植人工授精后牧场哺乳奶牛的推定着床时间和随后的妊娠损失。

IF 3.7 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
A.D. Crowe , J.M. Sánchez , S.G. Moore , M. McDonald , F. Randi , A. Santos , T. Minela , J. Branen , J. Furlong , J.R. Pursley , P. Lonergan , S.T. Butler
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引用次数: 0

摘要

本研究的目的是确定用常规(TAI-C)或x分选(TAI-S)精液定时人工授精或用冻融体外产生(IVP)胚胎定时胚胎移植(TET)后,哺乳期奶牛推定着床时间(pCA)的影响及其与随后妊娠丢失的关系。根据胎次、产犊日期和经济育种指数,对3个畜群的泌乳奶牛(n = 417头,主要为荷斯坦-弗里母奶牛)进行分组,随机分配接受TAI-C (n = 136)、TAI-S (n = 136)或用单个1级冻融IVP囊胚(n = 145)进行TET治疗。母牛采用10 d孕激素-排卵同步方案,在第二次GnRH后16 h进行人工授精(TAI-C, TAI-S),或在假定发情后第7天接受TET。在预期排卵后第7天测定所有奶牛的血清孕酮水平。对于所有未恢复发情的奶牛,在预期排卵后的第7天、第17天和第19天至第28天每天检测血清妊娠特异性蛋白B (PSPB),以表征pCA的发生时间。pCA的d定义为PSPB比基线增加≥12.5%的第一天(第17天),随后连续2天比前一个d增加≥12.5%。在排卵后第32、62和120天通过超声检查诊断未恢复发情的奶牛怀孕,并记录产犊数据。pCA日(平均;95% CI)较早(20.0;19.7, 20.3)与TET (20.6;20.3, 20.9), TAI-S (20.3;19.9, 20.6),与其他2个处理差异无统计学意义。早期pCA(≤d 20,23 /137)的奶牛与晚期pCA(≥d 21,36 /79)的奶牛相比,产犊/服务事件(C/SE)更高(83.2%对54.4%),从pCA到预期产犊日期期间的妊娠损失率更低(16.8%对45.6%)。TAI-S组(30.7%)和TET组(33.8%)的流产率高于TAI-C组(16.4%)。与以往的研究一致,测量pCA的时间为了解哺乳期奶牛的早期妊娠建立和妊娠丢失提供了新的见解。与TAI-C相比,TET的pCA时间较晚,可能与妊娠丢失风险增加有关。有必要进一步研究依恋概念背后的调节机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time to presumptive conceptus attachment and subsequent pregnancy loss in pasture-based lactating dairy cows following artificial insemination with conventional or X-sorted semen or embryo transfer
The objective of this study was to determine the effect of the timing of presumptive conceptus attachment (pCA) and its relationship with subsequent pregnancy loss (PL) in lactating dairy cows following timed artificial insemination with conventional (TAI-C) or X-sorted (TAI-S) semen or timed embryo transfer (TET) with frozen-thawed in vitro–produced (IVP) embryos. Lactating cows (n = 417, predominantly Holstein-Friesian) located in 3 herds were blocked based on parity, calving date, and economic breeding index and randomly assigned to receive TAI-C (n = 136), TAI-S (n = 136) or TET with a single, grade-1 frozen-thawed IVP blastocyst (n = 145). Cows were synchronized with a 10-d Progesterone-Ovsynch protocol, and were either inseminated (TAI-C, TAI-S) 16 h after the second GnRH or received TET on d 7 after presumptive estrus. Serum progesterone was measured in all cows on d 7 after expected ovulation. For all cows that had not returned to estrus, serum pregnancy-specific protein B (PSPB) was measured on d 7, 17, and daily from d 19 through 28 after expected ovulation to characterize the timing of pCA. The day of pCA was defined as the first day of an increase in PSPB of ≥12.5% from baseline (d 17) followed by 2 more consecutive days of ≥12.5% increase from the previous day. Pregnancy was diagnosed in cows that had not returned to estrus via ultrasound examination on d 32, 62, and 120 postovulation, and calving data were recorded. Day of pCA (mean; 95% CI) was earlier for TAI-C (20.0; 19.7, 20.3) compared with TET (20.6; 20.3, 20.9), and TAI-S (20.3; 19.9, 20.6) was not different from the other 2 treatments. Calving/service event (C/SE) was greater (83.2% vs. 54.4%) and PL during the interval from pCA to expected calving date was less (16.8% vs. 45.6%) for cows with early pCA (≤d 20; 23/137) compared with cows that had late pCA (≥d 21; 36/79). The incidence of PL was greater for cows assigned to TAI-S (30.7%) and TET (33.8%) than TAI-C (16.4%). Consistent with previous studies, measuring time to pCA provides new insights into understanding early pregnancy establishment and PL in lactating dairy cows. The timing of pCA was later for TET compared with TAI-C and may be associated with increased risk of PL. Further research into the regulatory mechanisms underlying conceptus attachment is warranted.
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来源期刊
Journal of Dairy Science
Journal of Dairy Science 农林科学-奶制品与动物科学
CiteScore
7.90
自引率
17.10%
发文量
784
审稿时长
4.2 months
期刊介绍: The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.
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