Bibliographic Details
| Title: |
Low-density SNP panel for efficient imputation and genomic selection of milk production and technological traits in dairy sheep |
| Authors: |
H. Marina, R. Pelayo, B. Gutiérrez-Gil, A. Suárez-Vega, C. Esteban-Blanco, A. Reverter, J.J. Arranz |
| Source: |
Journal of Dairy Science, Vol 105, Iss 10, Pp 8199-8217 (2022) |
| Publisher Information: |
Elsevier, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Dairy processing. Dairy products |
| Subject Terms: |
cheese-making traits, dairy sheep, genetic evaluation, genomic selection, Dairy processing. Dairy products, SF250.5-275, Dairying, SF221-250 |
| More Details: |
ABSTRACT: The present study aimed to ascertain how different strategies for leveraging genomic information enhance the accuracy of estimated breeding values for milk and cheese-making traits and to evaluate the implementation of a low-density (LowD) SNP chip designed explicitly for that aim. Thus, milk samples from a total of 2,020 dairy ewes from 2 breeds (1,039 Spanish Assaf and 981 Churra) were collected and analyzed to determine 3 milk production and composition traits and 2 traits related to milk coagulation properties and cheese yield. The 2 studied populations were genotyped with a customized 50K Affymetrix SNP chip (Affymetrix Inc.) containing 55,627 SNP markers. The prediction accuracies were obtained using different multitrait methodologies, such as the BLUP model based on pedigree information, the genomic BLUP (GBLUP), and the BLUP at the SNP level (SNP-BLUP), which are based on genotypic data, and the single-step GBLUP (ssGBLUP), which combines both sources of information. All of these methods were analyzed by cross-validation, comparing predictions of the whole population with the test population sets. Additionally, we describe the design of a LowD SNP chip (3K) and its prediction accuracies through the different methods mentioned previously. Furthermore, the results obtained using the LowD SNP chip were compared with those based on the 50K SNP chip data sets. Finally, we conclude that implementing genomic selection through the ssGBLUP model in the current breeding programs would increase the accuracy of the estimated breeding values compared with the BLUP methodology in the Assaf (from 0.19 to 0.39) and Churra (from 0.27 to 0.44) dairy sheep populations. The LowD SNP chip is cost-effective and has proven to be an accurate tool for estimating genomic breeding values for milk and cheese-making traits, microsatellite imputation, and parentage verification. The results presented here suggest that the routine use of this LowD SNP chip could potentially increase the genetic gains of the breeding selection programs of the 2 Spanish dairy sheep breeds considered here. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
0022-0302 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S0022030222004726; https://doaj.org/toc/0022-0302 |
| DOI: |
10.3168/jds.2021-21601 |
| Access URL: |
https://doaj.org/article/34c5cdcbe85a4805a5740642dec3a51f |
| Accession Number: |
edsdoj.34c5cdcbe85a4805a5740642dec3a51f |
| Database: |
Directory of Open Access Journals |
