荷斯坦小母牛的表型性状与生育力的关系:体况评分、体重、窦卵泡计数、抗勒氏杆菌激素和肛门生殖器距离。

IF 3.7 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Andréia Ferreira Machado , Leticia P. Sanglard , Santiago Andres Paez Hurtado , João Victor Chaves , Muhammad Awais Ajmal , José Domingos Guimarães , Jeffrey S. Stevenson , Simone E.F. Guimarães , Victor E. Gomez-Leon
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引用次数: 0

摘要

本横断面观察研究的目的是评估未产荷斯坦小母牛的生育力是否与(1)能量储备相关性状,如体况评分(BCS)和体重(BW)相关;(2)卵巢储备相关性状,如抗勒氏激素(AMH)和窦卵泡计数(AFC);(3)发育相关性状,如肛门生殖器距离(AGD)和外阴长度(VUL)。从2022年8月到2023年7月,我们采用前瞻性方法,在大约12月龄(育种计划开始时)对698头荷斯坦小母牛的表型性状(BCS、AMH、AFC、AGD、体重和VUL)进行了一次测量。所有母牛从367±3日龄、体重297 kg至570日龄(5次繁育)开始进行群体生殖管理。从软件记录中检索生育结果(首次服务年龄、首次服务时每个人工智能(P/AI)的妊娠、受孕年龄和每次受孕的服务次数)。对所收集的表型性状进行Pearson相关性分析。AGD与VUL和AMH与AFC的相关性最强(r >.5)。使用广义线性模型确定表型性状与生育结果的关联。身体状况评分是与生育结果最相关的表型性状。AMH、AFC、AGD、BW和VUL与生育力的相关性不明显或很弱。此外,我们将数据分为BCS分类,并按类别进行关联分析。与最低胎位相比,最高胎位的胎重更高(365.7±1.8 vs 356.0±1.5 kg),初产P/AI更高(65.0±4.0 vs 52.0±4.0%),每次受胎次数更少(1.5±0.10 vs 1.8±0.09)。此外,上、下三分卫的AGD均大于中四分卫。最后,基于Cox比例风险生存分析,BCS与受孕时间相关,表明BCS越大的母牛怀孕越早。根据目前的研究结果,我们期望通过改进管理实践来提高小牛的生育能力,从而提高初次服务时的BCS,但在我们的研究中,卵巢储备相关性状(AMH, AFC)和发育性状(AGD, VUL)与生育结果无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of phenotypic traits and fertility in Holstein heifers: Body condition score, body weight, antral follicle count, anti-Müllerian hormone, and anogenital distance
The aim of this cross-sectional observational study was to assess whether nulliparous Holstein heifer fertility is associated with (1) energy reserve-related traits, such as BCS and BW; (2) ovarian reserve-related traits, such as anti-Müllerian hormone (AMH) and antral follicle count (AFC); and (3) development-related traits, such as anogenital distance (AGD) and vulval length (VUL). From August 2022 through July 2023, we used a prospective approach in which the phenotypic traits (BCS, AMH, AFC, AGD, BW, and VUL) of 698 Holstein heifers were measured once at approximately 12 mo of age (at the beginning of the breeding program). All heifers were submitted to the herd reproductive management from 367 ± 3 d of age and 297 kg of BW until 570 d of age, or 5 breedings. Fertility outcomes (age at first service, pregnancy per artificial insemination [P/AI] at first service, age at conception, and number of services per conception) were retrieved from software records. Pearson correlations were performed among phenotypic traits collected. The strongest correlations (r >0.5) observed were for AGD with VUL and AMH with AFC. Associations of phenotypic traits with fertility outcomes were determined using generalized linear models. Body condition score was the phenotypic trait most associated with fertility outcomes. Associations of AMH, AFC, AGD, BW, and VUL with fertility were not observed or were very weak. Furthermore, we divided the data into BCS tertiles and performed association analyses by category. The top BCS tertile was associated with greater BW (365.7 ± 1.8 vs. 356.0 ± 1.5 kg), greater P/AI at first service (65.0% ± 4.0% vs. 52.0% ± 4.0%), and fewer number of services per conception (1.5 ± 0.10 vs. 1.8 ± 0.09) compared with the bottom tertile. Moreover, AGD was greater in the top and bottom tertiles compared with the middle tertile. Finally, BCS was associated with time to conception based on the Cox proportional hazards survival analysis, indicating that heifers with greater BCS became pregnant earlier. Based on the results observed in the current study, we would expect benefits for fertility by improving management practices that result in heifers with greater BCS at first service, but ovarian reserve-related traits (AMH, AFC) and developmental traits (AGD, VUL) were not associated with fertility outcomes in our study.
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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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