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Open AccessArticle
Integrating Genomic Selection and a Genome-Wide Association Study to Improve Days Open in Thai Dairy Holstein Cattle: A Comprehensive Genetic Analysis
by
Akhmad Fathoni
Akhmad Fathoni 1,2,
Wuttigrai Boonkum
Wuttigrai Boonkum 1,3,
Vibuntita Chankitisakul
Vibuntita Chankitisakul 1,3,
Sayan Buaban
Sayan Buaban 4 and
Monchai Duangjinda
Monchai Duangjinda 1,3,*
1
Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand
2
Department of Animal Breeding and Reproduction, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
3
Network Center for Animal Breeding and Omics Research, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand
4
Department of Livestock Development, Bureau of Animal Husbandry and Genetic Improvement, Pathum Thani 12000, Thailand
*
Author to whom correspondence should be addressed.
Animals 2025, 15(1), 43; https://doi.org/10.3390/ani15010043 (registering DOI)
Submission received: 25 September 2024
/
Revised: 19 December 2024
/
Accepted: 23 December 2024
/
Published: 27 December 2024
Simple Summary
Generally, improving the reproductive traits of livestock is challenging. Therefore, the United States and Europe have employed several new methods to improve these traits in dairy cattle. Genomic selection and genome-wide association studies (GWASs) are the most recent and reliable methods for enhancing dairy cattle reproduction. However, the application of these methods to crossbred dairy cattle in Asia has provided limited insights and results. To establish their effectiveness, comprehensive testing is essential. Therefore, these methods should be rigorously evaluated to confirm their suitability and benefits for tropical dairy cattle.
Abstract
Days open (DO) is a critical economic and reproductive trait that is commonly employed in genetic selection. Making improvements using conventional genetic techniques is exceedingly challenging. Therefore, new techniques are required to improve the accuracy of genetic selection using genomic data. This study examined the genetic approaches of traditional AIREML and single-step genomic AIREML (ssGAIREML) to assess genetic parameters and the accuracy of estimated breeding values while also investigating SNP regions associated with DO and identifying candidate genes through a genome-wide association study (GWAS). The dataset included 59415 DO records from 36368 Thai–Holstein crossbred cows and 882 genotyped animals. The cows were classified according to their Holstein genetic proportion (breed group, BG) as follows: BG1 (>93.7% Holstein genetics), BG2 (87.5% to 93.6% Holstein genetics), and BG3 (<87.5% Holstein genetics). AIREML was utilized to estimate genetic parameters and variance components. The results of this study reveal that the average DO values for BG1, BG2, and BG3 were 97.64, 97.25, and 96.23 days, respectively. The heritability values were estimated to be 0.02 and 0.03 for the traditional AIREML and ssGAIREML approaches, respectively. Depending on the dataset, the ssGAIREML method produced more accurate estimated breeding values than the traditional AIREML method, ranging from 40.5 to 45.6%. The highest values were found in the top 20% of the dam dataset. For the GWAS, we found 12 potential candidate genes (DYRK1A, CALCR, MIR489, MIR653, SLC36A1, GNA14, GNAQ, TRNAC-GCA, XYLB, ACVR2B, SLC22A14, and EXOC2) that are believed to have a significant influence on days open. In summary, the ssGAIREML method has the potential to enhance the accuracy and heritability of reproductive values compared to those obtained using conventional AIREML. Consequently, it is a viable alternative for transitioning from conventional methodologies to the ssGAIREML method in the breeding program for dairy cattle in Thailand. Moreover, the 12 identified potential candidate genes can be utilized in future studies to select markers for days open in regard to dairy cattle.
Share and Cite
MDPI and ACS Style
Fathoni, A.; Boonkum, W.; Chankitisakul, V.; Buaban, S.; Duangjinda, M.
Integrating Genomic Selection and a Genome-Wide Association Study to Improve Days Open in Thai Dairy Holstein Cattle: A Comprehensive Genetic Analysis. Animals 2025, 15, 43.
https://doi.org/10.3390/ani15010043
AMA Style
Fathoni A, Boonkum W, Chankitisakul V, Buaban S, Duangjinda M.
Integrating Genomic Selection and a Genome-Wide Association Study to Improve Days Open in Thai Dairy Holstein Cattle: A Comprehensive Genetic Analysis. Animals. 2025; 15(1):43.
https://doi.org/10.3390/ani15010043
Chicago/Turabian Style
Fathoni, Akhmad, Wuttigrai Boonkum, Vibuntita Chankitisakul, Sayan Buaban, and Monchai Duangjinda.
2025. "Integrating Genomic Selection and a Genome-Wide Association Study to Improve Days Open in Thai Dairy Holstein Cattle: A Comprehensive Genetic Analysis" Animals 15, no. 1: 43.
https://doi.org/10.3390/ani15010043
APA Style
Fathoni, A., Boonkum, W., Chankitisakul, V., Buaban, S., & Duangjinda, M.
(2025). Integrating Genomic Selection and a Genome-Wide Association Study to Improve Days Open in Thai Dairy Holstein Cattle: A Comprehensive Genetic Analysis. Animals, 15(1), 43.
https://doi.org/10.3390/ani15010043
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