Developments in genomic predictions in dairy cattle breeding: a historical overview of methods, technologies, and applications

2019 ◽  
pp. 357-382
Author(s):  
Luiz F. Brito ◽  
◽  
Hinayah R. Oliveira ◽  
Fabyano F. Silva ◽  
Flavio S. Schenkel ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Historical Overview ◽  
Cattle Breeding ◽  
Dairy Cattle Breeding ◽  
Genomic Predictions

scholarly journals Genetic improvement of beef cattle through opportunities in genomics

2010 ◽  
Vol 39 (suppl spe) ◽  
pp. 247-255 ◽  
Author(s):  
Stephen Miller
Keyword(s):  
Beef Cattle ◽  
Dairy Cattle ◽  
Genetic Improvement ◽  
Reproductive Technologies ◽  
High Density ◽  
Cattle Breeding ◽  
Production Chain ◽  
Dairy Cattle Breeding ◽  
Improvement Programs ◽  
Genomic Predictions

Genomics will improve the efficiency of beef cattle genetic improvement programs through the incorporation of genomic predictions into traditional genetic evaluations. The global dairy cattle breeding industry has been changed considerably in the last year through the implementation of genomic selection. Now proven to work in dairy cattle breeding, the challenge remains for the beef industry to successfully implement this technology. The primary challenge in beef cattle is the required resource population that relates genomic profile to phenotypic performance, which is quite large and its establishment will require collaboration or a significant investment by any one enterprise. Another challenge in beef cattle is the requirement for genomic predictions to function across breeds, which will require denser marker panels. Opportunities to increase genetic progress include increased accuracy of selection, reduced generation interval, increased selection intensity and better utilization of limited recording capacity, such as individual feed intake, along with opportunities to genetically change novel traits. Implementation of a low density panel at the commercial level will allow informative decisions based on genetic potential at all levels of the production chain. This reduced panel will include predictive SNP based on fine QTL mapping efforts, combined with additional SNP to enable imputation of genotypes from a high density SNP panel, when combined with high density genotypes of key ancestors, such as sires. With electronic recording in cattle, a single genotyping event on each animal would provide information throughout the beef production chain, which will create the incentive for genetic change. Genomics will create new opportunities for reproductive technologies such as embryo transfer as elite females will be identified with increased accuracy. Potential changes to the structure of the breeding industry are discussed including changes to recording strategies and the development of novel beef products.

COMPARATIVE ANALYSIS OF THE EVALUATION RESULTS OF HOLSTEIN BLACK-MOTLEY BREEDING BULLS BY THEIR DAUGHTERS’ PRODUCTIVITY BASED ON OFFICIAL INSTRUCTIONS AND BLUP MODEL

2020 ◽  
pp. 155-163
Author(s):  
K.ZH. ZHUMANOV ◽  
◽  
T.N. KARYMSAKOV ◽  
M.A. KINEEV ◽  
M.V. TAMAROVSKIY ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Fat ◽  
Cattle Breed ◽  
Breeding Value ◽  
Cattle Breeding ◽  
Lower Efficiency ◽  
Dairy Cattle Breeding ◽  
The Usa ◽  
Current Instruction ◽  
The Republic

According to the current “Instruction” used in dairy cattle selection and breeding in the Republic of Kazakhstan, bulls-producers of dairy breeds are assessed according to the their offspring quality based on the principle of “peer daughter”. This means that the phenotypic indicators of the daughters of the tested bulls are compared with the corresponding indicators of their peers. In European countries with developed dairy cattle breeding, as well as in Canada, the USA, etc., to ensure a reliable forecast of the genetic value of individuals (primarily, bulls-producers), use is made of the best linear unbiased forecast method (BLUP method). This method implies that the breeding value of producers is determined by the deviation values of the development of traits of the examined animal from its average values in the population. Especially urgent area is the research aimed at improving breeding programs, including assessing the breeding value of bulls-producers of dairy breeds using BLUP methods based on the productive qualities of the mass of dairy cattle in the Republic of Kazakhstan. The research material included the data on the phenotypic indicators of the milk productivity of first-calf cows (the amount of milk yield, the content of fat and protein in milk, the yield of milk fat and protein) of the Holstein black-motley dairy cattle breed, obtained from the information and analytical database of the Republic of Kazakhstan for 2016–2017. It was found that when evaluating according to the official “Instruction”, 16 sires out of 256 bulls (6.2%) got the stud category in 2016, 14 sires (9.2%) out of 152 bulls in 2017, and – 30 sires of 249 bulls (12.0%) over the cumulative period. The results of the conducted research prove that the use of the classic “Instructions” in dairy cattle breeding has lower efficiency (by 42.8–90.0%) as compared with the assessment of the breeding value of bulls based on the BLUP method.The selection of sire bulls into breeding groups based on the “peer daughter” methodology is not reliable enough and rather ineffective. Comparing the results of assessing the breeding qualities of sire bulls, obtianed using two methods in all compared periods (2016, 2017, 2016–2017), the authors established a clear superiority of the BLUP method over the current Instruction used in the Republic of Kazakhstan.

Breeding Index as an Economic Component of the Basis of Breeding Work in Dairy Cattle Breeding

2018 ◽  
pp. 29-33
Author(s):  
E.E. Melnikova ◽  
◽  
S.N. Kharitonov ◽  
I.N. Yanchukov ◽  
L.V. Ionova ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Cattle Breeding ◽  
Breeding Work ◽  
Dairy Cattle Breeding
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