scholarly journals Application of Genomic Selection Using an Evenly Spaced Low-density Marker Panel in Broiler Chickens

Author(s):  
Chunkao Wang ◽  
David Habier ◽  
Anna Wolc ◽  
Dorian J. Garrick ◽  
Rohan L. Fernando ◽  
...  
Genetics ◽  
2009 ◽  
Vol 182 (1) ◽  
pp. 343-353 ◽  
Author(s):  
D. Habier ◽  
R. L. Fernando ◽  
J. C. M. Dekkers

2013 ◽  
Vol 45 (1) ◽  
Author(s):  
Robin Wellmann ◽  
Siegfried Preuß ◽  
Ernst Tholen ◽  
Jörg Heinkel ◽  
Klaus Wimmers ◽  
...  

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 867
Author(s):  
Reza Eghbaldost-Jadid ◽  
Mehran Nosrati ◽  
Behrouz Rasouli ◽  
Alireza Seidavi ◽  
Clive J. C. Phillips

There are concerns about inclusion of antibiotics in the feed of broiler chickens, because of the development of antibiotic resistance, leading to a search for alternative feed additives. Turnip extract is known to have antibacterial properties but has not been tested in the diet of broiler chickens. We allocated 200 broiler chicks to receive one of four levels of turnip extract in their water, 0, 150, 300 or 450 ppm, or a standard antibiotic, Virginiamycin, over a 42-day growing period. Although initially there were detrimental effects of providing 450 ppm, overall the 150 ppm level of supplementation increased weight gain, compared with birds given Virginiamycin, and decreased gizzard weight. Birds given 150 ppm or Virginiamycin had increased low-density lipoproteins (LDLs) and reduced very low-density lipoproteins (VLDLs) in their blood serum and reduced antibody responses to sheep red blood cells, compared to birds in the 450 ppm treatment. Birds given turnip extract at 450 ppm had fewer Gram-negative lactose and coliform bacteria than those provided with no turnip extract, and those provided with 150–300 ppm had the same as those provided with Virginiamycin. Turnip extract could potentially replace antibiotics included in the feed of broiler chickens for growth promotion and the control of bacterial infection of the gastrointestinal tract.


2019 ◽  
Vol 4 (1) ◽  
pp. 264-274
Author(s):  
Tatiana I Shashkova ◽  
Elena U Martynova ◽  
Asiya F Ayupova ◽  
Artemy A Shumskiy ◽  
Polina A Ogurtsova ◽  
...  

Abstract Genomic selection is routinely used worldwide in agricultural breeding. However, in Russia, it is still not used to its full potential partially due to high genotyping costs. The use of genotypes imputed from the low-density chips (LD-chip) provides a valuable opportunity for reducing the genotyping costs. Pork production in Russia is based on the conventional 3-tier pyramid involving 3 breeds; therefore, the best option would be the development of a single LD-chip that could be used for all of them. Here, we for the first time have analyzed genomic variability in 3 breeds of Russian pigs, namely, Landrace, Duroc, and Large White and generated the LD-chip that can be used in pig breeding with the negligible loss in genotyping quality. We have demonstrated that out of the 3 methods commonly used for LD-chip construction, the block method shows the best results. The imputation quality depends strongly on the presence of close ancestors in the reference population. We have demonstrated that for the animals with both parents genotyped using high-density panels high-quality genotypes (allelic discordance rate < 0.05) could be obtained using a 300 single nucleotide polymorphism (SNP) chip, while in the absence of genotyped ancestors at least 2,000 SNP markers are required. We have shown that imputation quality varies between chromosomes, and it is lower near the chromosome ends and drops with the increase in minor allele frequency. Imputation quality of the individual SNPs correlated well across breeds. Using the same LD-chip, we were able to obtain comparable imputation quality in all 3 breeds, so it may be suggested that a single chip could be used for all of them. Our findings also suggest that the presence of markers with extremely low imputation quality is likely to be explained by wrong mapping of the markers to the chromosomal positions.


2020 ◽  
Vol 60 (8) ◽  
pp. 999
Author(s):  
Lianjie Hou ◽  
Wenshuai Liang ◽  
Guli Xu ◽  
Bo Huang ◽  
Xiquan Zhang ◽  
...  

Low-density single-nucleotide polymorphism (LD-SNP) panel is one effective way to reduce the cost of genomic selection in animal breeding. The present study proposes a new type of LD-SNP panel called mixed low-density (MLD) panel, which considers SNPs with a substantial effect estimated by Bayes method B (BayesB) from many traits and evenly spaced distribution simultaneously. Simulated and real data were used to compare the imputation accuracy and genomic-selection accuracy of two types of LD-SNP panels. The result of genotyping imputation for simulated data showed that the number of quantitative trait loci (QTL) had limited influence on the imputation accuracy only for MLD panels. Evenly spaced (ELD) panel was not affected by QTL. For real data, ELD performed slightly better than did MLD when panel contained 500 and 1000 SNP. However, this advantage vanished quickly as the density increased. The result of genomic selection for simulated data using BayesB showed that MLD performed much better than did ELD when QTL was 100. For real data, MLD also outperformed ELD in growth and carcass traits when using BayesB. In conclusion, the MLD strategy is superior to ELD in genomic selection under most situations.


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