The use of progesterone administered intravaginally and pregnant mare serum gonadotrophin given by injection in controlled breeding programs in beef and dairy cattle

1985 ◽  
Vol 62 (7) ◽  
pp. 228-234 ◽  
Author(s):  
R. K. MUNRO ◽  
N. W. MOORE
Keyword(s):  
Dairy Cattle ◽  
Breeding Programs ◽  
Pregnant Mare Serum Gonadotrophin

scholarly journals Genomic Analysis, Progress and Future Perspectives in Dairy Cattle Selection: A Review

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 599
Author(s):  
Miguel A. Gutierrez-Reinoso ◽  
Pedro M. Aponte ◽  
Manuel Garcia-Herreros
Keyword(s):  
Dairy Cattle ◽  
Production Efficiency ◽  
Association Studies ◽  
Phenotypic Traits ◽  
Progeny Testing ◽  
Genome Wide Association Studies ◽  
Genetic Progress ◽  
Breeding Programs ◽  
Increased Risk ◽  
Selection Of

Genomics comprises a set of current and valuable technologies implemented as selection tools in dairy cattle commercial breeding programs. The intensive progeny testing for production and reproductive traits based on genomic breeding values (GEBVs) has been crucial to increasing dairy cattle productivity. The knowledge of key genes and haplotypes, including their regulation mechanisms, as markers for productivity traits, may improve the strategies on the present and future for dairy cattle selection. Genome-wide association studies (GWAS) such as quantitative trait loci (QTL), single nucleotide polymorphisms (SNPs), or single-step genomic best linear unbiased prediction (ssGBLUP) methods have already been included in global dairy programs for the estimation of marker-assisted selection-derived effects. The increase in genetic progress based on genomic predicting accuracy has also contributed to the understanding of genetic effects in dairy cattle offspring. However, the crossing within inbred-lines critically increased homozygosis with accumulated negative effects of inbreeding like a decline in reproductive performance. Thus, inaccurate-biased estimations based on empirical-conventional models of dairy production systems face an increased risk of providing suboptimal results derived from errors in the selection of candidates of high genetic merit-based just on low-heritability phenotypic traits. This extends the generation intervals and increases costs due to the significant reduction of genetic gains. The remarkable progress of genomic prediction increases the accurate selection of superior candidates. The scope of the present review is to summarize and discuss the advances and challenges of genomic tools for dairy cattle selection for optimizing breeding programs and controlling negative inbreeding depression effects on productivity and consequently, achieving economic-effective advances in food production efficiency. Particular attention is given to the potential genomic selection-derived results to facilitate precision management on modern dairy farms, including an overview of novel genome editing methodologies as perspectives toward the future.

scholarly journals Use of female information in dairy cattle genomic breeding programs

2011 ◽  
Vol 94 (8) ◽  
pp. 4109-4118 ◽  
Author(s):  
N. Mc Hugh ◽  
T.H.E. Meuwissen ◽  
A.R. Cromie ◽  
A.K. Sonesson
Keyword(s):  
Dairy Cattle ◽  
Breeding Programs ◽  
Genomic Breeding

ARE TODAY’S DAIRY CATTLE BREEDING PROGRAMS SUITABLE FOR TOMORROW’S PRODUCTION REQUIREMENTS?

1980 ◽  
Vol 60 (2) ◽  
pp. 253-264 ◽  
Author(s):  
A. J. McALLISTER
Keyword(s):  
Dairy Cattle ◽  
Genetic Improvement ◽  
Herd Size ◽  
Breeding Program ◽  
Genetic Trend ◽  
Genetic Progress ◽  
Breeding Programs ◽  
Holstein Breed ◽  
Dairy Cattle Breeding ◽  
National Production

In the last decade the dairy cattle population has declined to a level of 1.9 million cows in 1978 with about 56% of these cows bred AI and nearly 20% of the population enrolled in a supervised milk recording program. The decline in cow numbers has been accompanied by an increase in herd size and production per cow. The current breeding program of the dairy industry is a composite of breeding decisions made by AI organizations, breeders who produce young bulls for sampling and all dairymen who choose the sires and dams of their replacement heifers. Estimates of genetic trend from 1958–1975 for milk production in the national milk recorded herd range from 21 to 55 kg per year for the four dairy breeds with Holsteins being 41 kg per year. Both differential use of superior proven sires and improved genetic merit of young bulls entering AI studs contribute to this genetic improvement. Various national production and marketing alternatives were examined. Selection is a major breeding tool in establishing a breeding program to meet national production requirements for milk and milk products once the selection goal is defined. AI and young sire sampling programs will continue to be the primary vehicle for genetic improvement through selection regardless of the selection goal. The current resources of milk-recorded cows bred AI is not being fully utilized to achieve maximum genetic progress possible from young sire sampling indicate that the number of young bulls sampled annually in the Holstein breed could be tripled with the existing milk-recorded and AI bred dairy cow population. Expanded milk recording and AI breeding levels could increase the potential for even further genetic improvement. The potential impact of selection for other traits, crossbreeding and the use of embryo transfer of future breeding programs is highlighted.

scholarly journals Invited review: Reproductive and genomic technologies to optimize breeding strategies for genetic progress in dairy cattle

2018 ◽  
Vol 61 (1) ◽  
pp. 43-57 ◽  
Author(s):  
Allison Fleming ◽  
Emhimad A. Abdalla ◽  
Christian Maltecca ◽  
Christine F. Baes
Keyword(s):  
Dairy Cattle ◽  
Production Traits ◽  
Milk Production Traits ◽  
Genetic Progress ◽  
Breeding Programs ◽  
The Past ◽  
Genomic Technologies ◽  
Technological Advances ◽  
Cattle Breeders ◽  
The Many

Abstract. Dairy cattle breeders have exploited technological advances that have emerged in the past in regards to reproduction and genomics. The implementation of such technologies in routine breeding programs has permitted genetic gains in traditional milk production traits as well as, more recently, in low-heritability traits like health and fertility. As demand for dairy products increases, it is important for dairy breeders to optimize the use of available technologies and to consider the many emerging technologies that are currently being investigated in various fields. Here we review a number of technologies that have helped shape dairy breeding programs in the past and present, along with those potentially forthcoming. These tools have materialized in the areas of reproduction, genotyping and sequencing, genetic modification, and epigenetics. Although many of these technologies bring encouraging opportunities for genetic improvement of dairy cattle populations, their applications and benefits need to be weighed with their impacts on economics, genetic diversity, and society.

scholarly journals 189 Choices ahead for dairy cattle breeding programs

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 22-23
Author(s):  
Michael M Lohuis
Keyword(s):  
Dairy Cattle ◽  
Genomic Selection ◽  
Gene Editing ◽  
New Technologies ◽  
Value Added ◽  
Progeny Testing ◽  
Cattle Breeding ◽  
Breeding Programs ◽  
Dairy Cattle Breeding ◽  
Selection For

Abstract Dairy cattle breeding programs have been transformed from conventional progeny-testing schemes to genomic selection paired with nucleus herd breeding in the span of one decade. This was spurred by the simultaneous advances in low-cost SNP genotyping, genomic selection methodology and reproductive biotechnologies. The rates of genetic progress have approximately doubled in this time but so have increases in inbreeding levels. This was driven by intense competition between AI studs and farmer adherence to common selection indices which has concentrated selection on very elite segments of juvenile age groups. This has led to speculation on the need for alternative indices and selection for novel traits in order to differentiate breeding programs and customize selection for unique farm conditions. This will be made more possible by the advent of on-farm sensor technology and artificial intelligence algorithms. Large commercial dairies are increasingly experimenting with crossbreeding with varying levels of success and this will require a new approach by breeding programs to focus both on purebred and crossbred performance. In addition, the potential exists for use of gene-editing to further enable value-added traits to be added into breeding programs. In parallel with breeding program advancements, consumer trends are also changing to include more interest in specialty dairy products with implied differences in digestibility, health or environmental impacts. Identifying technologies and traits that will add value either on the farm as well as at the consumer level will be a challenge for today’s breeders and producers. Some new technologies, such as gene editing, can pose consumer acceptance challenges if they are perceived to be used carelessly or for the wrong reasons. Careful choices will need to be made to continue to improve profitability, functionality and health of dairy cattle while also meeting higher consumer standards for animal welfare, health and the environment.

EVALUATION OF LACTATION CURVES OF UKRAINIAN BLACK-AND-WHITE DAIRY COWS DEPENDING ON PARATIPICAL FACTORS

2016 ◽  
Vol 52 ◽  
pp. 31-36
Author(s):  
V. S. Kozyr ◽  
A. D. Hekkiyev
Keyword(s):  
Dairy Cattle ◽  
Dairy Cows ◽  
Objective Assessment ◽  
Dairy Herd ◽  
Mathematical Methods ◽  
Cattle Breeding ◽  
Breeding Programs ◽  
Black And White ◽  
Predicting Performance ◽  
Dairy Cattle Breeding

It was proved that features of lactation curves of cows should be considered at developing breeding programs in dairy cattle breeding, contributing to an objective assessment of a genotype and thus, use of genetic and mathematical methods would increase probability of predicting performance for dairy herd.

Selection against Mastitis and Cell Count in Dairy Cattle Breeding Programs

1992 ◽  
Vol 42 (4) ◽  
pp. 205-210
Author(s):  
Grazyna Sender ◽  
Jarmo Juga ◽  
Tapani Hellman ◽  
Hannu Saloniemi
Keyword(s):  
Dairy Cattle ◽  
Cell Count ◽  
Cattle Breeding ◽  
Breeding Programs ◽  
Dairy Cattle Breeding
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