Márton Judit, Szabó Ferenc, Zsolnai Attila, Anton István
Hungarian Hereford, Angus, Galloway Association, Dénesmajor 2, H-7400 Kaposvár, Hungary.
Széchenyi István University, Albert Kázmér Faculty of Mosonmagyaróvár, Vár tér 2., H-9200 Mosonmagyaróvár, Hungary.
Anim Biosci. 2024 Feb;37(2):184-192. doi: 10.5713/ab.23.0157. Epub 2023 Aug 28.
This study aims to investigate the genetic structure and characteristics of the Angus cattle population in Hungary. The survey was performed with the assistance of the Hungarian Hereford, Angus, Galloway Association (HHAGA).
Genetic parameters of 1,369 animals from 16 Angus herds were analyzed using the genotyping results of 12 microsatellite markers with the aid of PowerMarker, Genalex, GDA-NT2021, and STRUCTURE software. Genotyping of DNA was performed using an automated genetic analyzer. Based on pairwise identity by state values of animals, the Python networkx 2.3 library was used for network analysis of the breed and to identify the central animals.
The observed numbers of alleles on the 12 loci under investigation ranged from 11 to 18. The average effective number of alleles was 3.201. The overall expected heterozygosity was 0.659 and the observed heterozygosity was 0.710. Four groups were detected among the 16 Angus herds. The breeders' information validated the grouping results and facilitated the comparison of birth weight, age at first calving, number of calves born and productive lifespan data between the four groups, revealing significant differences. We identified the central animals/herd of the Angus population in Hungary. The match of our group descriptions with the phenotypic data provided by the breeders further underscores the value of cooperation between breeders and researchers.
The observation that significant differences in the measured traits occurred among the identified groups paves the way to further enhancement of breeding efficiency. Our findings have the potential to aid the development of new breeding strategies and help breeders keep the Angus populations in Hungary under genetic supervision. Based on our results the efficient use of an upcoming genomic selection can, in some cases, significantly improve birth weight, age at first calving, number of calves born and the productive lifespan of animals.
本研究旨在调查匈牙利安格斯牛种群的遗传结构和特征。该调查是在匈牙利赫里福德、安格斯、加洛韦协会(HHAGA)的协助下进行的。
借助PowerMarker、Genalex、GDA-NT2021和STRUCTURE软件,利用12个微卫星标记的基因分型结果,分析了来自16个安格斯牛群的1369头动物的遗传参数。使用自动遗传分析仪对DNA进行基因分型。基于动物的成对状态相同值,使用Python networkx 2.3库对该品种进行网络分析并识别核心动物。
在所研究的12个位点上观察到的等位基因数量在11至18个之间。平均有效等位基因数为3.201。总体期望杂合度为0.659,观察到的杂合度为0.710。在16个安格斯牛群中检测到四个组。育种者提供的信息验证了分组结果,并便于比较这四个组之间的出生体重、初产年龄、产犊数和生产寿命数据,结果显示存在显著差异。我们确定了匈牙利安格斯牛种群的核心动物/牛群。我们的分组描述与育种者提供的表型数据相匹配,进一步强调了育种者与研究人员合作的价值。
在所确定的组之间观察到测量性状存在显著差异,这为进一步提高育种效率铺平了道路。我们的研究结果有可能有助于制定新的育种策略,并帮助育种者对匈牙利的安格斯牛种群进行遗传监测。根据我们的结果,在某些情况下,有效利用即将到来的基因组选择可以显著提高出生体重、初产年龄、产犊数和动物的生产寿命。