Evaluation of updated Feed Saved breeding values in Australian Holstein cattle

被引:0
作者
Bolormaa, S. [1 ]
MacLeod, I. M. [1 ]
Khansefid, M. [1 ]
Marett, L. C. [2 ,3 ]
Wales, W. J. [2 ,3 ]
Nieuwhof, G. J. [1 ,4 ]
Baes, C. F. [5 ,6 ]
Schenkel, F. S. [5 ]
Goddard, M. E. [1 ,7 ]
Pryce, J. E. [1 ,8 ]
机构
[1] Agr Victoria Res, Agribio, 5 Ring Rd, Bundoora, Vic 3083, Australia
[2] Agr Victoria Res, Ellinbank Ctr, Gippsland, Vic 3821, Australia
[3] Univ Melbourne, Sch Agr & Food, Parkville, Vic 3010, Australia
[4] DataGene Ltd, Agribio, 5 Ring Rd, Bundoora, Vic 3083, Australia
[5] Univ Guelph, CGIL, Guelph, ON N1G 2W1, Canada
[6] Univ Bern, Inst Genet, Vetsuisse Fac, CH-3002 Bern, Switzerland
[7] Univ Melbourne, Sch Land & Environm, Parkville, Vic 3052, Australia
[8] La Trobe Univ, Sch Appl Syst Biol, Bundoora, Vic 3083, Australia
来源
JDS COMMUNICATIONS | 2022年 / 3卷 / 02期
关键词
GENOMIC PREDICTION; DAIRY; SELECTION; ACCURACY; EFFICIENCY; TRAITS;
D O I
10.3168/jdsc.2021-0150Genetics
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Although selection for increased milk production traits has led to a genetic increase in body weight (BW), the genetic gain in milk production has exceeded the gain in BW, so gross feed efficiency has improved. Nonetheless, greater gains may be possible by directly selecting for a measure of feed efficiency. Australia first introduced Feed Saved (FS) estimated breeding value (EBV) in 2015. Feed Saved combines residual feed intake (RFI) genomic EBV and maintenance requirements calculated from mature BW EBV. The FS EBV was designed to enable the selection of cows for reduced energy requirements with similar milk production. In this study, we used a reference population of 3,711 animals in a multivariate analysis including Australian heifers (AUSh), Australian cows (AUSc), and overseas cows (OVEc) to update the Australian EBV for lifetime RFI (i.e., a breeding value that incorporated RFI in growing and lactating cows) and to recalculate the FS EBV in Australian Holstein bulls (AUSb). The estimates of genomic heritabilities using univariate (only AUSc or AUSh) to trivariate (including the OVEc) analyses were similar. Genomic heritabilities for RFI were estimated as 0.18 for AUSc, 0.27 for OVEc, and 0.36 for AUSh. The genomic correlation for RFI between AUSc and AUSh was 0.47 and that between AUSc and OVEc was 0.94, but these estimates were associated with large standard errors (range: 0.18-0.28). The reliability of lifetime RFI (a component of FS) in the trivariate analysis (i.e., including OVEc) increased from 11% to 20% compared with the 2015 model and was greater, by 12%, than in a bivariate analysis in which the reference population included only AUSc and AUSh. By applying the prediction equation of the 2020 model, the average reliability of the FS EBV in 20,816 AUSb that were born between 2010 and 2020 improved from 33% to 43%. Previous selection strategies-that is, using the predecessor of the Balanced Performance Index (Australian Profit Ranking index) that did not include FS-have resulted in an unfavorable genetic trend in FS. However, this unfavorable trend has stabilized since 2015, when FS was included in the Balanced Performance Index, and is expected to move in a favorable direction with selection on Balanced Performance Index or the Health Weighted Index. Doubling the reference population, particularly by incorporating international data for feed efficiency, has improved the reliability of the FS EBV. This could lead to increased genetic gain for feed efficiency in the Australian industry.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Implementation of Feed Efficiency in Iranian Holstein Breeding Program
    Nadri, Sara
    Sadeghi-Sefidmazgi, Ali
    Zamani, Pouya
    Ghorbani, Gholam Reza
    Toghiani, Sajjad
    ANIMALS, 2023, 13 (07):
  • [22] Divergent breeding values for fatness or residual feed intake in Angus cattle. 5. Cow genotype affects feed efficiency and maternal productivity
    Hebart, M. L.
    Accioly, J. M.
    Copping, K. J.
    Deland, M. P. B.
    Herd, R. M.
    Jones, F. M.
    Laurence, M.
    Lee, S. J.
    Lines, D. S.
    Speijers, E. J.
    Walmsley, B. J.
    Pitchford, W. S.
    ANIMAL PRODUCTION SCIENCE, 2018, 58 (01) : 80 - 93
  • [23] Assessing haplotype-based models for genomic evaluation in Holstein cattle
    Karimi, Z.
    Sargolzaei, M.
    Robinson, J. A. B.
    Schenkel, F. S.
    CANADIAN JOURNAL OF ANIMAL SCIENCE, 2018, 98 (04) : 750 - 759
  • [24] Accuracy of genomic breeding values in multibreed beef cattle populations derived from deregressed breeding values and phenotypes
    Weber, K. L.
    Thallman, R. M.
    Keele, J. W.
    Snelling, W. M.
    Bennett, G. L.
    Smith, T. P. L.
    McDaneld, T. G.
    Allan, M. F.
    Van Eenennaam, A. L.
    Kuehn, L. A.
    JOURNAL OF ANIMAL SCIENCE, 2012, 90 (12) : 4177 - 4190
  • [25] Alternative models for genetic evaluation of feed intake by Afrikaner cattle
    MacNeil, M. D.
    Scholtz, M. M.
    Jordaan, F. J.
    Maiwashe, A.
    SOUTH AFRICAN JOURNAL OF ANIMAL SCIENCE, 2019, 49 (04) : 763 - 769
  • [26] Breeding values prediction for test day and lactation milk yields in Holstein cattle using different statistical models
    Rodrigues de Melo, Claudio Manoel
    Packer, Irineu Umberto
    Costa, Claudio Napolis
    Machado, Paulo Fernando
    Patricio, Mateus
    REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2007, 36 (05): : 1295 - 1303
  • [27] Genomic prediction of breeding values for carcass traits in Nellore cattle
    Fernandes Junior, Gerardo A.
    Rosa, Guilherme J. M.
    Valente, Bruno D.
    Carvalheiro, Roberto
    Baldi, Fernando
    Garcia, Diogo A.
    Gordo, Daniel G. M.
    Espigolan, Rafael
    Takada, Luciana
    Tonussi, Rafael L.
    de Andrade, Willian B. F.
    Magalhaes, Ana F. B.
    Chardulo, Luis A. L.
    Tonhati, Humberto
    de Albuquerque, Lucia G.
    GENETICS SELECTION EVOLUTION, 2016, 48
  • [28] Characterization and genetic evaluation of Holstein cattle in Narino, Colombia
    Solarte Portilla, Carlos E.
    Zambrano Burbano, Gema L.
    REVISTA COLOMBIANA DE CIENCIAS PECUARIAS, 2012, 25 (04) : 539 - 547
  • [29] Estimating variance components and breeding values for number of oocytes and number of embryos in dairy cattle using a single-step genomic evaluation
    Cornelissen, M. A. M. C.
    Mullaart, E.
    Van der Linde, C.
    Mulder, H. A.
    JOURNAL OF DAIRY SCIENCE, 2017, 100 (06) : 4698 - 4705
  • [30] Accuracies of genomically estimated breeding values from pure-breed and across-breed predictions in Australian beef cattle
    Boerner, Vinzent
    Johnston, David J.
    Tier, Bruce
    GENETICS SELECTION EVOLUTION, 2014, 46