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
  • [41] Association of pedigree indexes and genomic breeding values with the performance of Polish Holstein-Friesian cows
    Strabel, Tomasz
    JOURNAL OF APPLIED GENETICS, 2025, 66 (01) : 207 - 218
  • [42] Comparison of methods for predicting genomic breeding values for growth traits in Nellore cattle
    Nascimento Terakado, Ana Paula
    Costa, Raphael Bermal
    Irano, Natalia
    Bresolin, Tiago
    de Oliveira, Henrique Nunes
    Carvalheiro, Roberto
    Baldi, Fernando
    Solar Diaz, Iara Del Pilar
    de Albuquerque, Lucia Galvao
    TROPICAL ANIMAL HEALTH AND PRODUCTION, 2021, 53 (03)
  • [43] INFLUENCE OF THE INTENSITY OF FEED COSTS ON EFFICIENCY OF DAIRY CATTLE BREEDING
    Lialina, Nataliia
    AGRICULTURAL AND RESOURCE ECONOMICS-INTERNATIONAL SCIENTIFIC E-JOURNAL, 2018, 4 (01): : 109 - 119
  • [44] Methods of fertility evaluation in cattle breeding
    Safus, Petr
    BIOMETRIC METHODS AND MODELS IN CURRENT SCIENCE AND RESEARCH, 2011, : 269 - 274
  • [45] Genomic evaluation of feed efficiency in US Holstein heifers
    Khanal, P.
    Johnson, J.
    Gouveia, G.
    Ross, P.
    Deeb, N.
    JOURNAL OF DAIRY SCIENCE, 2023, 106 (10) : 6986 - 6994
  • [46] Genetic parameters for energy balance, feed efficiency, and related traits in Holstein cattle
    Spurlock, D. M.
    Dekkers, J. C. M.
    Fernando, R.
    Koltes, D. A.
    Wolc, A.
    JOURNAL OF DAIRY SCIENCE, 2012, 95 (09) : 5393 - 5402
  • [47] Effects of correcting missing daily feed intake values on the genetic parameters and estimated breeding values for feeding traits in pigs
    Ito, Tetsuya
    Fukawa, Kazuo
    Kamikawa, Mai
    Nikaidou, Satoshi
    Taniguchi, Masaaki
    Arakawa, Aisaku
    Tanaka, Genki
    Mikawa, Satoshi
    Furukawa, Tsutomu
    Hirose, Kensuke
    ANIMAL SCIENCE JOURNAL, 2018, 89 (01) : 12 - 20
  • [48] Genetic Evaluation of Clinical Mastitis Traits in Holstein Cattle
    Kasna, Eva
    Zavadilova, Ludmila
    Gtipkova, Miloslava
    CZECH JOURNAL OF ANIMAL SCIENCE, 2018, 63 (11) : 443 - 451
  • [49] Accuracy of Igenity genomically estimated breeding values for predicting Australian Angus BREEDPLAN traits
    Boerner, V.
    Johnston, D.
    Wu, X. -L.
    Bauck, S.
    JOURNAL OF ANIMAL SCIENCE, 2015, 93 (02) : 513 - 521
  • [50] Genomic Evaluation of Colombian Holstein Cattle Using Imputed Genotypes at Medium Density
    Zambrano, Juan C.
    Echeverri, Julian
    Lopez Herrera, Albeiro
    REVISTA MVZ CORDOBA, 2019, 24 (02) : 7248 - 7255