Body and milk traits as indicators of dairy cow energy status in early lactation

被引:41
|
作者
Mantysaari, P. [1 ]
Mantysaari, E. A. [2 ]
Kokkonen, T. [3 ]
Mehtio, T. [2 ]
Kajava, S. [1 ]
Grelet, C. [4 ]
Lidauer, P. [2 ]
Lidauer, M. H. [2 ]
机构
[1] Nat Resources Inst Finland Luke, Milk Prod, Jokioinen 31600, Finland
[2] Nat Resources Inst Finland Luke, Anim Genet, Jokioinen 31600, Finland
[3] Univ Helsinki, Dept Agr Sci, Jokioinen 31600, Finland
[4] Walloon Agr Res Ctr CRA W, B-5030 Gembloux, Belgium
关键词
energy status; indicator; dairy cattle; NONESTERIFIED FATTY-ACIDS; MIDINFRARED SPECTROMETRY; GRASS SILAGES; BALANCE; CATTLE; PREDICTION; EFFICIENCY; WEIGHT; BLOOD; DIGESTIBILITY;
D O I
10.3168/jds.2018-15792
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 inclusion of feed intake and efficiency traits in dairy cow breeding goals can lead to increased risk of metabolic stress. An easy and inexpensive way to monitor postpartum energy status (ES) of cows is therefore needed. Cows' ES can be estimated by calculating the energy balance from energy intake and output and predicted by indicator traits such as change in body weight (Delta BW), change in body condition score (Delta BCS), milk fat:protein ratio (FPR), or milk fatty acid (FA) composition. In this study, we used blood plasma nonesterified fatty acids (NEFA) concentration as a biomarker for ES. We determined associations between NEFA concentration and ES indicators and evaluated the usefulness of body and milk traits alone, or together, in predicting ES of the cow. Data were collected from 2 research herds during 2013 to 2016 and included 137 Nordic Red dairy cows, all of which had a first lactation and 59 of which also had a second lactation. The data included daily body weight, milk yield, and feed intake and monthly BCS. Plasma samples for NEFA were collected twice in lactation wk 2 and 3 and once in wk 20. Milk samples for analysis of fat, protein, lactose, and FA concentrations were taken on the blood sampling days. Plasma NEFA concentration was higher in lactation wk 2 and 3 than in wk 20 (0.56 +/- 0.30, 0.43 +/- 0.22, and 0.13 +/- 0.06 mmol/L, respectively; all means +/- standard deviation). Among individual indicators, C18:1 cis-9 and the sum of C18:1 in milk had the highest correlations (r = 0.73) with NEFA. Seven multiple linear regression models for NEFA prediction were developed using stepwise selection. Of the models that included milk traits (other than milk FA) as well as body traits, the best fit was achieved by a model with milk yield, FPR, Delta BW, Delta BCS, FPR x Delta BW, and days in milk. The model resulted in a cross-validation coefficient of determination (R(2)cv) of 0.51 and a root mean squared error (RMSE) of 0.196 mmol/L. When only milk FA concentrations were considered in the model, NEFA prediction was more accurate using measurements from evening milk than from morning milk (R(2)cv = 0.61 vs. 0.53). The best model with milk traits contained FPR, C10:0, C14:0, C18:1 cis-9, C18:1 cis-9 x C14:0, and days in milk (R(2)cv = 0.62; RMSE = 0.177 mmol/L). The most advanced model using both milk and body traits gave a slightly better fit than the model with only milk traits (R(2)cv = 0.63; RMSE = 0.176 mmol/L). Our findings indicate that ES of cows in early lactation can be monitored with moderately high accuracy by routine milk measurements.
引用
收藏
页码:7904 / 7916
页数:13
相关论文
共 50 条
  • [1] The relationships between early lactation energy status indicators and endocrine fertility traits in dairy cows
    Maentysaari, P.
    Juga, J.
    Lidauer, M. H.
    Haeggman, J.
    Mehtioe, T.
    Christensen, J. M.
    Maentysaari, E. A.
    JOURNAL OF DAIRY SCIENCE, 2022, 105 (08) : 6833 - 6844
  • [2] Predicting early lactation energy balance in primiparous Red Dairy Cattle using milk and body traits
    Mantysaari, P.
    Mantysaari, E. A.
    ACTA AGRICULTURAE SCANDINAVICA SECTION A-ANIMAL SCIENCE, 2010, 60 (02): : 79 - 87
  • [3] Milk components as potential indicators of energy status in early lactation Holstein dairy cows from two farms
    Stolcova, M.
    Barton, L.
    Rehak, D.
    ANIMAL, 2024, 18 (08)
  • [4] Milk fatty acids as indicators of negative energy balance of dairy cows in early lactation
    Churakov, M.
    Karlsson, J.
    Rasmussen, A. Edvardsson
    Holtenius, K.
    ANIMAL, 2021, 15 (07)
  • [5] The effects of nutritional management in early lactation and dairy cow genotype on milk production and metabolic status.
    Brady, E. L.
    Lynch, M. B.
    Pierce, K. M.
    Fahey, A. G.
    Mulligan, F. J.
    JOURNAL OF DAIRY SCIENCE, 2020, 103 : 120 - 120
  • [6] Potassium in the Early Lactation Dairy Cow and its Impact on Milk and Milk Fat Production
    Harrison, J. H.
    White, R.
    Kincaid, R.
    Jenkins, T.
    Block, E.
    Advances in Dairy Technology, Vol 23, 2011, 23 : 313 - 319
  • [7] Body traits of lambs of machine milked non-dairy sheep and milk components in early lactation
    Dilmac, M.
    Cimen, M.
    Ozgoz, E.
    Yildirim, S.
    INDIAN VETERINARY JOURNAL, 2007, 84 (09): : 951 - 953
  • [8] Precalving and early lactation factors that predict milk casein and fertility in the transition dairy cow
    Rodney, Rachael M.
    Hall, Jenianne K.
    Westwood, Charlotte T.
    Celi, Pietro
    Lean, Ian J.
    JOURNAL OF DAIRY SCIENCE, 2016, 99 (09) : 7554 - 7567
  • [9] Relationship between individual cow udder health status in early lactation and dairy cow characteristics in Brittany, France
    Faye, B
    Perochon, L
    Dorr, N
    Gasqui, P
    VETERINARY RESEARCH, 1998, 29 (01) : 31 - 46
  • [10] Genetic parameters of dairy cow energy intake and body energy status predicted using mid-infrared spectrometry of milk
    McParland, S.
    Kennedy, E.
    Lewis, E.
    Moore, S. G.
    McCarthy, B.
    O'Donovan, M.
    Berry, D. P.
    JOURNAL OF DAIRY SCIENCE, 2015, 98 (02) : 1310 - 1320