Integrating Genomic Selection and a Genome-Wide Association Study to Improve Days Open in Thai Dairy Holstein Cattle: A Comprehensive Genetic Analysis

被引:1
作者
Fathoni, Akhmad [1 ,2 ]
Boonkum, Wuttigrai [1 ,3 ]
Chankitisakul, Vibuntita [1 ,3 ]
Buaban, Sayan [4 ]
Duangjinda, Monchai [1 ,3 ]
机构
[1] Khon Kaen Univ, Fac Agr, Dept Anim Sci, Khon Kaen 40002, Thailand
[2] Univ Gadjah Mada, Fac Anim Sci, Dept Anim Breeding & Reprod, Yogyakarta 55281, Indonesia
[3] Khon Kaen Univ, Fac Agr, Network Ctr Anim Breeding & Omics Res, Khon Kaen 40002, Thailand
[4] Bur Anim Husb & Genet Improvement, Dept Livestock Dev, Pathum Thani 12000, Thailand
来源
ANIMALS | 2025年 / 15卷 / 01期
关键词
genomic selection; days open; Thai-Holstein crossbreeds; ssGAIREML; FEMALE FERTILITY TRAITS; REPRODUCTIVE TRAITS; ECONOMIC VALUE; PREDICTION; PARAMETERS; COWS; EXPRESSION; HEIFERS; PERFORMANCE; PREGNANCY;
D O I
10.3390/ani15010043
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
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.
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页数:17
相关论文
共 78 条
  • [1] Relationships between reproductive traits of heifers and cows and yield traits for Holsteins in Japan
    Abe, H.
    Masuda, Y.
    Suzuki, M.
    [J]. JOURNAL OF DAIRY SCIENCE, 2009, 92 (08) : 4055 - 4062
  • [2] Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score
    Aguilar, I.
    Misztal, I.
    Johnson, D. L.
    Legarra, A.
    Tsuruta, S.
    Lawlor, T. J.
    [J]. JOURNAL OF DAIRY SCIENCE, 2010, 93 (02) : 743 - 752
  • [3] Aguilar I., 2014, P 10 WORLD C GEN APP
  • [4] Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods
    Alves, A. A. C.
    Espigolan, R.
    Bresolin, T.
    Costa, R. M.
    Fernandes Junior, G. A.
    Ventura, R. V.
    Carvalheiro, R.
    Albuquerque, L. G.
    [J]. ANIMAL GENETICS, 2021, 52 (01) : 32 - 46
  • [5] Estimation of genetic parameters of the productive and reproductive traits in Ethiopian Holstein using multi-trait models
    Ayalew, Wondossen
    Aliy, Mohammed
    Negussie, Enyew
    [J]. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, 2017, 30 (11): : 1550 - 1556
  • [6] Short communication: Genetic effects of heat stress on days open for Thai Holstein crossbreds
    Boonkum, W.
    Misztal, I.
    Duangjinda, M.
    Pattarajinda, V.
    Tumwasorn, S.
    Buaban, S.
    [J]. JOURNAL OF DAIRY SCIENCE, 2011, 94 (03) : 1592 - 1596
  • [7] Genomic Selection Using Single-Step Genomic BLUP on the Number of Services per Conception Trait in Thai-Holstein Crossbreeds
    Boonkum, Wuttigrai
    Chankitisakul, Vibuntita
    Duangjinda, Monchai
    Buaban, Sayan
    Sumreddee, Pattarapol
    Sungkhapreecha, Piriyaporn
    [J]. ANIMALS, 2023, 13 (23):
  • [8] Genome-wide association study on milk production and somatic cell score for Thai dairy cattle using weighted single-step approach with random regression test-day model
    Buaban, S.
    Lengnudum, K.
    Boonkum, W.
    Phakdeedindan, P.
    [J]. JOURNAL OF DAIRY SCIENCE, 2022, 105 (01) : 468 - 494
  • [9] Short communication: Genetic analysis for fertility traits of heifers and cows from smallholder dairy farms in a tropical environment
    Buaban, S.
    Duangjinda, M.
    Suzuki, M.
    Masuda, Y.
    Sanpote, J.
    Kuchida, K.
    [J]. JOURNAL OF DAIRY SCIENCE, 2015, 98 (07) : 4990 - 4998
  • [10] Estimation of genetic parameters and trends for production traits of dairy cattle in Thailand using a multiple-trait multiple-lactation test day model
    Buaban, Sayan
    Puangdee, Somsook
    Duangjinda, Monchai
    Boonkum, Wuttigrai
    [J]. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, 2020, 33 (09): : 1387 - 1399