The use of loci associated with quantitative effects in dairy cattle improvement

1978 ◽  
Vol 27 (2) ◽  
pp. 133-139 ◽  
Author(s):  
M. Soller

ABSTRACTThe use in dairy cattle improvement of loci associated with quantitative effects that might be found by genetic analysis is discussed. These methods can make a significant contribution only if they result in the identification of quantitative loci whose inheritance can be followed in a simple Mendelian manner. Another possibility, the identification of genetic components of production having a higher heritability than overall production, would make only a minor contribution to increased genetic progress. Selection of young males, according to the estimated breeding value associated by linkage with particular marker alleles in their sire, will not make a detectable contribution to genetic improvement.

2018 ◽  
Vol 51 ◽  
pp. 27-34 ◽  
Author(s):  
O. I. Babenko ◽  
V. P. Оleshko ◽  
V. Y. Afanasenko

Genetic progress in a herd of animals is due to the selection of four categories of pedigree animals: fathers of sires, mothers of sires, fathers of cows and mothers of cows. Extremely important role in genetic improvement of a herd plays selection of the sires for insemination of breeding stock which become the potential parents of cows. The selection of sires’ mothers, sires’ and cows’ parents provides 90-95% of the effect of selection in animal population, and massive selection of cows’ mothers only 5-10%. The main selection trait in а herd is milk production, therefore with the purpose of analyzing the effectiveness of selection by this trait defined pedigree value of 4 categories of pedigree animals, which influenced on the pace of improvement of the populations. Therefore, to accelerate genetic improvement of dairy cattle populations is necessary to increase the magnitude of the genetic benefits of parental animals and reduced generation intervals, which is the aim of our research. The average annual genetic progress through selection of four categories of pedigree animals in the herd of Holstein breed is 61.2 kg of milk per cow per year and the pace of genetic improvement of the herd – 0.81 %. In the population of Ukrainian Black-and-White Dairy breed, these figures are respectively 43.2 kg of milk and the pace of genetic improvement of the herd – 0.62 % Much more opportunities in raising the rate of genetic improvement can be achieved through the introduction of genomic (GS) or marker-assisted selection (MAS). Under the terms of the genomic breeding, final estimation of pedigree value of sires is carried out during 2.5 years in the contrast with traditional breeding, which involves the time for 5 years. Experts estimate the cost from the use of GS or MAS compared with conventional breeding are up to 92%, and the efficiency of selection is improved two times. Taking into account that data of productivity of animals are associated with genes of economically useful traits, the topical issue is the selection of the optimal polymorphic marker systems for their introduction into practice of breeding and assessment of genetic structure of cattle breeds. On the basis of our results of studies of the effect of QTL – gene, the complex model genotype for the selection of animals for the purpose of increasing milk yield in animals of Ukrainian Black-and-White Dairy breed is like this: CSNSАВ, GHLL, βLGАВ, Pit-1АВ; Holstein – CSNS AB, GHLV, βLGАA, Pit-1АВ. Comparison of model genotypes of Ukrainian Black-and-White Dairy and Holstein shows that there are differences in the combination of genotypes contributing to the best development of traits. Thus, the mass fraction of the protein, the model genotypes are identical at 75% in both breeds: by the yield, quantity of milk fat and protein and total milk fat and protein model genotypes match by 50%. Due to implementation of genomic evaluation and breeding of dairy cattle, the valuation period of pedigree animals was reduced significantly. Unlike conventional breeding, the introduction of genomic selection will reduce the genetic interval in the population of Ukrainian Black-and-White Dairy breed of sires’ fathers by 4.5 years, sires’ mothers by 4.6 years, cows’ fathers by 4.6 years and cows’ mothers by 2.9 years. In the population of Holstein cattle generation interval of sires’ fathers is reduced by 4.3 years, sires’ mothers by 4.5 years, cows’ fathers by 4.5 years, and cows’ mothers by 2.7 years. The results of our studies show that the rate of genetic improvement of dairy cattle population in the main breeding traits can be improved through the selection of animals by QTL-complexes. Thus, the selection of breeding stock based on a comprehensive model of genotype on yield gave an opportunity to improve pedigree value of the maternal cows at 155 kg compared to traditional breeding, and in the population of Holstein cattle at 246 kg. Only these factors allow genetic progress in milk yield in the population of Ukrainian Black-and-White Dairy cattle by 128.5 kg, which is 2.9 times more than the value of the actual genetic progress and in the population of Holstein cattle – 183.2 kg, which is three times more compared to the actual value of genetic progress for milk yield in this population. The contribution of the cows’ mothers to genetic progress increases. So, if at conventional breeding, the contribution of this category of pedigree animals was negative (-4.9%), selection on QTL complex is 3.2% and in the population of Holstein cattle 12%. If you apply the selection of other categories of pedigree animals (sires’ fathers, mothers and parents of sires) on QTL-complexes, which contribution in the genetic improvement of populations is 88.0–96.8%, the rate of genetic improvement of dairy cattle populations will greatly increase. Conclusion. To accelerate genetic improvement of dairy cattle populations it is necessary to use molecular genetic markers that control metabolic processes in the body.


Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 599
Author(s):  
Miguel A. Gutierrez-Reinoso ◽  
Pedro M. Aponte ◽  
Manuel Garcia-Herreros

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.


1980 ◽  
Vol 60 (2) ◽  
pp. 253-264 ◽  
Author(s):  
A. J. McALLISTER

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.


2003 ◽  
Vol 83 (3) ◽  
pp. 385-392 ◽  
Author(s):  
B. J. Van Doormaal ◽  
G. J. Kistemaker

Artificial insemination (AI) of dairy cattle in Canada was started more than half a century ago and today it is estimated that at least 75% of all dairy cattle nationally are bred using this common reproductive technology. A Best Linear Unbiased Prediction sire model for estimating genetic evaluations for production traits was introduced in 1975. The combination of extensive use of AI with genetic evaluations for bulls and cows has resulted in significant phenotypic and genetic gains over the past 20 yr. In the Holstein breed, mature equivalent yields have increased by an average of 200 kg milk, 7.0 kg fat and 6.3 kg protein per year since 1980. Genetically, the relative emphasis realized for production traits versus overall type during the past 5 yr has followed the 60:40 breeding goal represented in the Lifetime Profit Index, which has increased at an average rate of 0.28 standard units per year. Examination of the generation interval in the Canadian Holstein breed, associated with each of the four pathways for genetic improvement, indicates a 46% increase in the rate of annual genetic gain today compared to 20 yr ago. The increased accuracy and intensity of selection associated with the use of AI and genetic evaluations have also contributed to the rates of phenotypic and genetic progress achieved over the years. In the future , AI will continue to be a critical component of the genetic gains possible in dairy cattle breeding but it will be complemented by other reproductive technologies aimed at further reducing generation intervals and increasing the accuracy and selection of intensity, especially on the female side. Key words: Dairy cattle, artificial insemination, genetic progress, genetic evaluation


2020 ◽  
Vol 222 ◽  
pp. 02029
Author(s):  
Anatoly Bolgov ◽  
Irina Komlyk ◽  
Natalia Grishina

The problems of methodology and organization of selection of dairy cattle for resistance to mastitis by somatic cells of milk were studied. The necessity is justified and the procedure for converting the number of somatic cells (NSC) into a points score (PSNSC) is presented. The article provides evidence of the correspondence of the cows distribution curve by points for NSC to the Gauss curve, which is a sufficient reason to consider the NSC points score as a biometrically correct objective selection trait. Procedures for determining the indices of breeding value of bulls and their breeding categories by somatic cells in points are proposed. Requirements for the level of resistance in the cows and bulls selection are developed. The most resistant to mastitis are cows with a score of 3.9 points or less, and bulls with a breeding value index of -1.012 or less.


1989 ◽  
Vol 49 (1) ◽  
pp. 1-14 ◽  
Author(s):  
J. A. Woolliams

ABSTRACTThe effect of changes in the mating system on the rates of genetic progress and rates of inbreeding are considered for MOET nucleus breeding schemes. Methods are derived to calculate best linear unbiased predictors of breeding value in MOET schemes and the rate of inbreeding under selection. These are applied to different mating systems in which the numbers of sires and dams, and the number of offspring per sire and offspring per dam, remain constant.Results showed that compared with nested mating systems, factorial mating systems in which the maternal half-sibs are produced instead of full-sibs, could increase genetic progress by 1·12-fold with no additional inbreeding. The increased progress arose through an increase in the selection intensity applied. The rates of inbreeding derived were found to be approximately double those estimated by the formula of Wright (1931) in the absence of selection.In practice, even if a complete factorial system were to increase the generation interval and consequently reduce progress below that predicted, changes in the mating system avoiding this problem could be implemented that would be of immediate benefit.


Author(s):  
R.B. Land ◽  
G. Simm ◽  
R. Thompson ◽  
J.A. Woolliams

Dairying is the largest single sector of British agriculture. European milk production is however in surplus and the imposition of quotas has put pressure on the industry. It has also constrained the interaction of the industry with market forces and hence its potential for progressive development. The greater the pressure the more important is efficency and hence the greater the need for and the benefits from genetic improvement. This paper reviews breeding objectives for dairy cattle, and considers the opportunities for the uptake of new technologies such as multiple ovulation and embryo transfer, and physiological predictors of genetic merit.Concentration on clear and limited breeding goals is crucial to the success of any breeding programme. This is probably the principal factor underlying the greater genetic progress achieved in North America and New Zealand than in Europe.Gibson (1987) has estimated that the optimum ratio of fat:protein In milk for processing is currently about 1.65:1 (i.e. 5.6% fat would be required to match the current average protein production of about 3.4%). Even with a 30% fall In consumption of dairy fat, the optimum fat % in milk for manufacturing would still be 3.8—4.7%.


Author(s):  
L. V. Kholodova

The process of improving the breeding and productive qualities of dairy cattle is impossible without the selection of servicing bulls with high genetic potential and breeding value. The paper investigates the breeding value and genetic potential of servicing bulls whose bio-products are used to inseminate dairy cattle in the Republic of Mari El. The author finds out that the population of bulls is of high quality and belongs to five genealogical lines: Vis Back Aydial 1013415, Montwick Chiftein 95679, Sawring Reflex 198998, Seling Trijun Rokita 252803, Pabst Governer 882933. Bulls, obtained from highly productive ancestors and have a high genetic potential in terms of milk yield (from 7513 to 13361 kg) and mass fraction of fat in milk (from 3.87 to 4.43%). The female offsprings of the investigated servicing bulls have rather high level of milk productivity (milk yield is 7017 kg on average, mass fraction of fat is 3,94, protein - 3,08%). The paper highlights that the highest level of dairy productivity was achieved by the descendants of the bull Yasa-M 462771. Their milk yield for the first lactation was 8185 kg, mass fraction of fat was 3.93%, protein concentration was 3.11%. The most part of investigated bulls have high breeding value according to all studied milk productivity parameters. According to the milk yield, it varied from 96.1 to145.5%, the mass fraction of fat – from 100 to 101.8, protein -from 98 to 101.6%. 10 servicing bulls as Artist, Butembo-M, Koldun, Leksaid, Morzhik, Norman-M, Auckland-M, Sayan, Spartak and Yasa-M have relative breeding value on all studied indicators which was above 100%. The most valuable servicing bulls were observed as Yas-M 462771 and Koldun 103.


1975 ◽  
Vol 20 (1) ◽  
pp. 1-10 ◽  
Author(s):  
J. B. Owen

SUMMARYA scheme is described for the genetic improvement of milk yield in a large population of dairy cows, based on half-sister selection of young bulls, as an alternative to the normal procedure of progeny testing. The results indicate that the suggested scheme would lead t o an eventual rate of genetic progress very similar to the progeny testing scheme. However, the annual cost of the new scheme is less than a progeny testing scheme, largely because the ‘laying off’ of candidate bulls, to await selection, is completely eliminated. In addition, improvement of the dairy cows shows up sooner in the new scheme; by the 10th year from the start the cumulative genetic improvement is four times greater than for progeny testing.


1965 ◽  
Vol 7 (3) ◽  
pp. 397-399 ◽  
Author(s):  
K. J. Robertson

One of the causes of culling dairy cows is low milk yield and to the extent that this has any genetic basis one might expect the daughters of old cows to outyield their contemporaries from younger and hence less selected mothers. This is quite apart from any confounding effects resulting from the non-genetic influences of dams' parity. The rate of genetic improvement derived from the culling process will be modified within a population by the extent to which farmers choose to retain the progeny of older rather than younger cows. Milk yields for recorded cows in Scotland, available to the Livestock Records Bureau, have been used to obtain some information on these points.


Sign in / Sign up

Export Citation Format

Share Document