Current genomic applications for improved reproductive performance in beef and dairy
نویسندگان
چکیده
Genetic improvement in beef and dairy cattle reproductive traits has historically been hampered by the availability and accuracy of applicable genetic predictions. Reproductive trait phenotypes are generally time-consuming to measure, categorical and/or threshold in nature, often are not collected in the context of inventory-based performance recording systems, and typically of lower relative heritability. Introduction of the Illumina® Bovine SNP50 BeadChip, and subsequently other related genotyping platforms, has provided useful marker information for inclusion in beef and dairy genetic evaluations and performance programs. Increasingly, marker information is used to authenticate recorded pedigree information or assign parentage, enhance the non-parent accuracy of Expected Progeny Differences (EPD) and Predicted Transmitting Abilities (PTA), derive and manage haplotypes affecting fertility, as well as help manage inbreeding. In Angus seedstock, Genomic-Enhanced (GE) EPD and/or genomic predictions for the following reproductive traits are computed weekly by Angus Genetics Inc. (AGI): Calving Ease Direct (CED), Scrotal Circumference (SC), Heifer Pregnancy (HP), and Calving Ease Maternal (CEM). The average GE accuracy values associated with Angus non-parent GE-EPD for CED and SC are .31 to .36, respectively. In Holsteins, genomic-enhanced PTA (GPTA) computed by the Council on Dairy Cattle Breeding (CDCB) are available for the following major reproductive traits and indexes: Daughter Pregnancy Rate (DPR), Productive Life (PL), Sire Calving Ease (SCE), Daughter Calving Ease (DCE), and Net Merit (NM$). The reliability values for non-parent dairy reproductive trait GPTA range from .49 to .66 for tested Holstein heifers, as compared to .23 to .28 for untested animals. Enhanced accuracy and reliability values enable increased response to selection and commercial productivity.
منابع مشابه
Genetics and genomics of reproductive performance in dairy and beef cattle.
Excellent reproductive performance in both males and females is fundamental to profitable dairy and beef production systems. In this review we undertook a meta-analysis of genetic parameters for female reproductive performance across 55 dairy studies or populations and 12 beef studies or populations as well as across 28 different studies or populations for male reproductive performance. A pleth...
متن کاملReproductive inefficiencies and opportunities in dairy and beef cattle in Australia
Reproductive performance is a key driver of the economics of dairy and beef breeding herds. In the absence of hormonal treatment to induce or stimulate lactation, regular parturition and initiation of lactation are key events directly affecting the average daily milk production of dairy herds, culling decisions and farm gross margins. Thus efficient reproductive management is a critical prerequ...
متن کاملEffect of Metabolic Stress on Ovarian Activity and Reproductive Performance of Dairy Cattle: A Review
Reproductive efficiency in dairy cattle has been decreased over the last 5 decades despite significant gains in genetic selection, improved reproductive technologies and nutritional care. In high-yielding dairy cattle, the negative energy balance (NEB) during the first week post-partum adversely affects ovarian activity, mainly follicle growth and steroidogenesis. Circulating levels of non-este...
متن کاملFall Conference 2015 – College of Veterinary Medicine at Urbana-Champaign Strategies to Improve Reproductive Performance in Cattle
Introduction The decline in fertility reported from 1960 to early 2000’s (Lucy, 2001) was the motive for prolific research in dairy cows, which in instance lead to identification of multiple culprit factors for this impaired reproductive performance in dairy cattle. (Norman et al., 2009; Santos et al., 2004). Reduced fertilization, embryonic survival, and high prevalence of anovulation in dairy...
متن کاملReproductive management in dairy cows - the future
Background Drivers of change in dairy herd health management include the significant increase in herd/farm size, quota removal (within Europe) and the increase in technologies to aid in dairy cow reproductive management. Main body There are a number of key areas for improving fertility management these include: i) handling of substantial volumes of data, ii) genetic selection (including impro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013