Frenkel R, Fricke P M, Madureira A M L, Heuwieser W, Borchardt S
Clinic of Animal Reproduction, Faculty of Veterinary Medicine, Freie Universitaet Berlin, Koenigsweg 65, 14163 Berlin, Germany.
Department of Dairy Science, University of Wisconsin-Madison, Madison, WI 53706.
JDS Commun. 2023 Sep 22;5(1):47-51. doi: 10.3168/jdsc.2023-0397. eCollection 2024 Jan.
This observational study was conducted to evaluate the effect of transition cow health on pregnancy per artificial insemination (P/AI) and pregnancy loss (PL) in cows submitted to a Double-Ovsynch protocol (DO) for first service. Lactating Holstein cows (n = 15,041) from one commercial dairy farm in northern Germany between January 2015 to December 2021 were enrolled into a modified Double-Ovsynch protocol (GnRH, 7 d later PGF, 3 d later GnRH, 7 d later GnRH, 7 d later PGF, 24 h later PGF, 32 h later GnRH, and 16 to 18 h later timed artificial insemination) for first service at 72 ± 3 d in milk. Pregnancy was diagnosed at 32 and 60 d post-AI via transrectal ultrasonography. Pregnancy loss was defined as the proportion of cows diagnosed pregnant 32 d post-artificial insemination that were diagnosed nonpregnant 60 d post-artificial insemination. Health-related events (i.e., milk fever [MF], hyperketonemia [KET], retained fetal membranes [RFM], metritis, mastitis, left displaced abomasum [LDA]) were assessed by farm personnel using standard operating procedures. Multivariable logistic regression was used for testing potential associations between transition cow health event occurrence and outcome variables, including P/AI and PL. Three separate models were built for cows in first lactation, second lactation, and ≥third lactation. Overall, 20.0% (885/4,430), 34.9% (1,391/3,989), and 53.9% (3,570/6,622) of cows had at least one transition cow health event for first, second, and ≥third lactations, respectively. The most prevalent transition cow health event for first-lactation cows was metritis (10.7%; [473/4,430]), whereas second-lactation cows suffered mostly from mastitis (16.6%; [664/3,989] and KET (16.6%; [661/3,989]), and cows with ≥third lactations were mostly affected by KET (33.2%; [2,198/6,622]). We observed a negative association between inflammatory disorders (i.e., RFM, metritis, mastitis) and P/AI in all cows irrespective of parity. Metabolic disorders (i.e., MF, KET, LDA) were negatively associated with P/AI only in multiparous cows. Irrespective of parity, only uterine diseases (i.e., RFM, metritis) were significantly associated with PL. These results show that enrolling cows into a fertility protocol, such as DO, cannot overcome the carryover effects of inflammatory and metabolic disorders on P/AI and PL and highlight the importance of optimizing transition cow health as a prerequisite for achieving high fertility in a DO protocol.
本观察性研究旨在评估经产奶牛健康状况对接受首次配种的双同期发情方案(DO)的奶牛的人工授精受胎率(P/AI)和妊娠损失(PL)的影响。2015年1月至2021年12月期间,来自德国北部一个商业奶牛场的泌乳荷斯坦奶牛(n = 15,041)被纳入改良的双同期发情方案(促性腺激素释放激素(GnRH),7天后注射前列腺素F2α(PGF),3天后注射GnRH,7天后注射GnRH,7天后注射PGF,24小时后注射PGF,32小时后注射GnRH,16至18小时后进行定时人工授精),在产犊后72±3天进行首次配种。在人工授精后32天和60天通过直肠超声检查诊断妊娠情况。妊娠损失定义为人工授精后32天诊断为怀孕但人工授精后60天诊断为未怀孕的奶牛比例。农场工作人员使用标准操作程序评估与健康相关的事件(即产乳热(MF)、高酮血症(KET)、胎膜滞留(RFM)、子宫炎、乳腺炎、左方变位真胃(LDA))。采用多变量逻辑回归分析来检验经产奶牛健康事件的发生与包括P/AI和PL在内的结果变量之间的潜在关联。针对头胎、二胎和≥三胎的奶牛分别建立了三个独立模型。总体而言,头胎、二胎和≥三胎的奶牛中分别有20.0%(885/4,430)、34.9%(1,391/3,989)和53.9%(3,570/6,622)至少发生了一次经产奶牛健康事件。头胎奶牛中最常见的经产奶牛健康事件是子宫炎(10.7%;[473/4,430]),而二胎奶牛主要受乳腺炎(16.6%;[664/3,989])和KET(16.6%;[661/3,989])影响,≥三胎的奶牛主要受KET影响(33.2%;[2,198/6,622])。我们观察到,无论胎次如何,所有奶牛的炎症性疾病(即RFM、子宫炎、乳腺炎)与P/AI之间均呈负相关。代谢性疾病(即MF、KET、LDA)仅在多胎奶牛中与P/AI呈负相关。无论胎次如何,只有子宫疾病(即RFM、子宫炎)与PL显著相关。这些结果表明,将奶牛纳入生育方案(如DO)并不能克服炎症和代谢性疾病对P/AI和PL的遗留影响,并突出了优化经产奶牛健康状况作为在DO方案中实现高繁殖力的先决条件的重要性。