Estimation of Genetic Parameters for Six Economic Traits in Beijing Holstein Cows.

IF 1.8 3区 农林科学 Q2 VETERINARY SCIENCES
Yekai Fan, Jinxin Wang, Qiuling Li, Yufang Liu, Lv Qiao, Wanhai Shi, Yuze Yang, Wenping Hu, Mingxing Chu
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Abstract

Background: Chinese Holstein is a dairy cattle breed developed through crossbreeding and long-term selection. The Beijing Holstein represents a distinct population within the Chinese Holstein breed, specifically bred in the Beijing region.

Objectives: This study aimed to estimate the genetic parameters for six economic traits in Beijing Holstein cows.

Methods: Data from 5409 Beijing Holstein cows across 13 dairy farms were analysed by MTDFREML and SAS software. The linear univariate and bivariate animal model analyses were employed to estimate heritabilities and genetic correlations, respectively.

Results: Heritabilities of milk yield in 305 days (d), fat percentage, protein percentage, somatic cell score (SCS), lactose percentage and dry matter percentage were 0.08, 0.17, 0.20, 0.10, 0.16 and 0.26, respectively. Most genetic correlations aligned in direction and magnitude with their phenotypic correlations. Notably, dry matter percentage exhibited strong positive genetic correlations with fat percentage (0.96), protein percentage (0.74) and lactose percentage (0.70). The genetic correlations were moderately significant negative between dry matter percentage and milk yield in 305 d (-0.39), between SCS and dry matter percentage (-0.26), between SCS and lactose percentage (-0.30), and between SCS and fat percentage (-0.38).

Conclusions: On the basis of the genetic parameters and their economic significance, the milk yield in 305 d, fat percentage, protein percentage and SCS would be selected as breeding goal traits with different direction and extent of weight. A balanced breeding approach targeting these traits is essential to enhance overall production performance. This study provides foundational data for evaluating the production potential of Beijing Holstein cows and supports informed breeding decisions.

北京荷斯坦奶牛6个经济性状遗传参数的估计。
背景:中国荷斯坦奶牛是通过杂交和长期选择培育出来的奶牛品种。北京荷斯坦代表了中国荷斯坦品种中一个独特的种群,特别是在北京地区繁殖。目的:研究北京荷斯坦奶牛6个经济性状的遗传参数。方法:采用MTDFREML和SAS软件对13个奶牛场5409头北京荷斯坦奶牛数据进行分析。分别采用线性单变量和双变量动物模型分析来估计遗传力和遗传相关性。结果:305 d产奶量、脂肪率、蛋白质率、体细胞评分、乳糖率和干物质率的遗传度分别为0.08、0.17、0.20、0.10、0.16和0.26。大多数遗传相关性在方向和程度上与其表型相关性一致。干物质率与脂肪率(0.96)、蛋白质率(0.74)和乳糖率(0.70)呈显著正相关。干物质率与305 d产奶量(-0.39)、干物质率与干物质率(-0.26)、乳糖率(-0.30)、脂肪率(-0.38)呈中等显著负相关。结论:根据遗传参数及其经济意义,可选择305 d产奶量、脂肪率、蛋白质率和SCS作为不同方向和不同重量程度的育种目标性状。以这些性状为目标的平衡育种方法对于提高整体生产性能至关重要。该研究为评价北京荷斯坦奶牛的生产潜力提供了基础数据,并为明智的育种决策提供了支持。
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来源期刊
Veterinary Medicine and Science
Veterinary Medicine and Science Veterinary-General Veterinary
CiteScore
3.00
自引率
0.00%
发文量
296
期刊介绍: Veterinary Medicine and Science is the peer-reviewed journal for rapid dissemination of research in all areas of veterinary medicine and science. The journal aims to serve the research community by providing a vehicle for authors wishing to publish interesting and high quality work in both fundamental and clinical veterinary medicine and science. Veterinary Medicine and Science publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper. We aim to be a truly global forum for high-quality research in veterinary medicine and science, and believe that the best research should be published and made widely accessible as quickly as possible. Veterinary Medicine and Science publishes papers submitted directly to the journal and those referred from a select group of prestigious journals published by Wiley-Blackwell. Veterinary Medicine and Science is a Wiley Open Access journal, one of a new series of peer-reviewed titles publishing quality research with speed and efficiency. For further information visit the Wiley Open Access website.
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