Estimating breeding values for feed efficiency in dairy cattle by regression on expected feed intake

被引:4
作者
Lidauer, M. H. [1 ]
Negussie, E. [1 ]
Mantysaari, E. A. [1 ]
Mantysaari, P. [1 ]
Kajava, S. [2 ]
Kokkonen, T. [3 ]
Chegini, A. [1 ]
Mehtio, T. [1 ]
机构
[1] Nat Resources Inst Finland Luke, Jokioinen 31600, Finland
[2] Nat Resources Inst Finland Luke, Kuopio 71750, Finland
[3] Univ Helsinki, Dept Agr Sci, Helsinki 00014, Finland
关键词
Dairy cattle breeding; Nordic Red dairy cattle; Random regression; Residual feed intake; Variance components; GENETIC-PARAMETERS; TRAITS; LACTATION; SELECTION; SYSTEMS;
D O I
10.1016/j.animal.2023.100917
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The efficiency with which a dairy cow utilises feed for the various physiological and metabolic processes can be evaluated by metrics that contrast realised feed intake with expected feed intake. In this study, we presented a new metric - regression on expected feed intake (ReFI). This metric is based on the idea of regressing DM intake (DMI) on expected DMI using a random regression model, where energy requirement formulations are applied for the calculation of expected DMI covariables. We compared this new metric with the metrics residual feed intake (RFI) and genetic residual feed intake (gRFI), by applying them on 18 581 feed efficiency records from 654 primiparous Nordic Red dairy cows. We estimated variance components for the three metrics and their respective genetic correlations with intake and production traits. In addition, we examined the phenotypes of superior cows. With ReFI, we estimated for feed efficiency a higher genetic variation (4.7%) and heritability (0.23) compared to applying RFI or gRFI. The ReFI metric was genetically uncorrelated with DMI and negatively correlated within energy-corrected milk (ECM), whereas the RFI metric was genetically positively correlated with DMI and metabolic BW. The gRFI metric was genetically positively correlated with DMI and uncorrelated with energy sink traits. Overall, the estimated SE were large. The ReFI metric resulted in a different ranking of cows compared to those based on RFI or gRFI and was superior in selecting the most efficient animals. When the selection was based on ReFI breeding values, then the 10% most efficient cows produced 12.3% more ECM per unit metabolisable energy intake, whereas the corresponding values were only 4.3 or 5.9% when using RFI or gRFI breeding values, respectively. Based on ReFI, superior cows had also higher milk production, whereas based on RFI or gRFI milk production either decreased or was unaffected, respectively. The superiority of the ReFI metric in selecting efficient cows was due to a better modelling of the expected feed intake. The ReFI metric simplified modelling of feed utilisation efficiency in dairy cattle and resulted in breeding values that are equal to percentages of feed saved. (C) 2023 The Author(s). Published by Elsevier B.V. on behalf of The Animal Consortium. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:10
相关论文
共 30 条
  • [1] Impact of recent research on energy feeding systems for dairy cattle
    Agnew, RE
    Yan, T
    [J]. LIVESTOCK PRODUCTION SCIENCE, 2000, 66 (03): : 197 - 215
  • [2] Development of maintenance energy requirement and energetic efficiency for lactation from production data of dairy cows
    Agnew, RE
    Yan, T
    Murphy, JJ
    Ferris, CP
    Gordon, FJ
    [J]. LIVESTOCK PRODUCTION SCIENCE, 2003, 82 (2-3): : 151 - 162
  • [3] Genetics of grass dry matter intake, energy balance, and digestibility in grazing Irish dairy cows
    Berry, D. P.
    Horan, B.
    O'Donovan, M.
    Buckley, F.
    Kennedy, E.
    McEvoy, M.
    Dillon, P.
    [J]. JOURNAL OF DAIRY SCIENCE, 2007, 90 (10) : 4835 - 4845
  • [4] Heritability and genetic correlations of feed intake, body weight gain, residual gain, and residual feed intake of beef cattle as heifers and cows
    Freetly, Harvey C.
    Kuehn, Larry A.
    Thallman, Richard M.
    Snelling, Warren M.
    [J]. JOURNAL OF ANIMAL SCIENCE, 2020, 98 (01)
  • [5] LINEAR INDEX SELECTION TO IMPROVE TRAITS DEFINED AS RATIOS
    GUNSETT, FC
    [J]. JOURNAL OF ANIMAL SCIENCE, 1984, 59 (05) : 1185 - 1193
  • [6] Methane production inventory between 1960-2020 in the Finnish dairy sector and the future mitigation scenarios
    Huhtanen, Pekka
    Astaptsev, Aleksi
    Nousiainen, Juha
    [J]. AGRICULTURAL AND FOOD SCIENCE, 2022, 31 (01) : 1 - 11
  • [7] Bayesian estimation of genetic variance and response to selection on linear or ratio traits of feed efficiency in dairy cattle
    Islam, M. S.
    Jensen, J.
    Lovendahl, P.
    Karlskov-Mortensen, P.
    Shirali, M.
    [J]. JOURNAL OF DAIRY SCIENCE, 2020, 103 (10) : 9150 - 9166
  • [8] GENETIC AND STATISTICAL PROPERTIES OF RESIDUAL FEED-INTAKE
    KENNEDY, BW
    VANDERWERF, JHJ
    MEUWISSEN, THE
    [J]. JOURNAL OF ANIMAL SCIENCE, 1993, 71 (12) : 3239 - 3250
  • [9] Multiple-trait random regression modeling of feed efficiency in US Holsteins
    Khanal, P.
    Gaddis, K. L. Parker
    Vandehaar, M. J.
    Weigel, K. A.
    White, H. M.
    Penagaricano, F.
    Koltes, J. E.
    Santos, J. E. P.
    Baldwin, R. L.
    Burchard, J. F.
    Durr, J. W.
    Tempelman, R. J.
    [J]. JOURNAL OF DAIRY SCIENCE, 2022, 105 (07) : 5954 - 5971
  • [10] EFFICIENCY OF FEED USE IN BEEF CATTLE
    KOCH, RM
    GREGORY, KE
    CHAMBERS, D
    SWIGER, LA
    [J]. JOURNAL OF ANIMAL SCIENCE, 1963, 22 (02) : 486 - &