Robustness and sensitivity of a blueprint for on-farm estimation of dairy cow energy balance

VM Thorup, MGG Chagunda, A Fischer, MR Weisbjerg, NC Friggens

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2 Citations (Scopus)
3 Downloads (Pure)

Abstract

Excessive negative energy balance (EB) has been associated with decreased reproductive performance and increased risk of lameness and metabolic diseases. On-farm, automated EB estimates for individual cows would enable dairy farmers to detect excessive negative EB early and act to minimize its extent and duration by altering feeding. Previously, we have shown that EB can be estimated from frequent measurements of body weight (BW) and body condition score (BCS) changes, referred to as EBbody. In this study, we investigated the robustness and sensitivity of the EBbody method to assess its genericity and on-farm applicability. We used 5 data sets with BW of lactating cows (name of data set in parenthesis): 65 Holstein cows in a French feeding trial (INRA); 6 Holstein cows in a British feeding trial (Friggens); 31 Holstein cows and 17 Jersey cows in a Danish feeding trial (DCRC); 140 Holstein cows in a British feeding trial (Scotland’s Rural College, SRUC); and 1,592 Holstein cows on 9 Danish farms with milking robots (automatic milking system). We used the INRA and Friggens data sets to develop a dynamic formula to correct BW for increasing residual gut-fill (RGF) during early lactation. With the DCRC data, we tested the effect of smoothing parameters and weighing frequency on EBbody. Also, 2 robustness tests were performed using the SRUC data to test the effect of diet change on BW and the automatic milking system data to test the effect of farm on BW variation. Finally, we combined the results into a blueprint describing different ways to calculate EBbody depending on the purpose and on the availability of BCS. The dynamic RGF adjustment resulted in a lower empty BW during early lactation than that obtained with the previously used constant RGF. The double-exponential smoothing method used to correct for meal-related gut-fill was robust to choice of smoothing parameters. Cows should be weighed at least once every 4 d during early lactation to capture the duration of negative EBbody. Our EBbody method proved robust to diet changes. Finally, although cow BW varied significantly between farms, the quantile regression smoothing of BW did not bias the estimation of weight differences between herds. In conclusion, these results validate the applicability of the EBbody method to estimate EB across a range of farm conditions, and we provided a blueprint that enables the estimation of EBbody for individual cows on-farm using only frequent BW, in combination with BCS when available.
Original languageEnglish
Pages (from-to)6002 - 6018
Number of pages17
JournalJournal of Dairy Science
Volume101
Issue number7
Early online date5 Apr 2018
DOIs
Publication statusFirst published - 5 Apr 2018

Fingerprint

energy balance
dairy cows
cows
farms
Holstein
body weight
cow feeding
body condition
digestive system
milking
Scotland
testing
metabolic diseases
Jersey
early lactation
diet
lameness
dairies
lactation
herds

Bibliographical note

1031445

Keywords

  • Body reserve
  • Decision support
  • On-farm
  • Precision livestock

Cite this

Thorup, VM., Chagunda, MGG., Fischer, A., Weisbjerg, MR., & Friggens, NC. (2018). Robustness and sensitivity of a blueprint for on-farm estimation of dairy cow energy balance. Journal of Dairy Science, 101(7), 6002 - 6018. https://doi.org/10.3168/jds.2017-14290
Thorup, VM ; Chagunda, MGG ; Fischer, A ; Weisbjerg, MR ; Friggens, NC. / Robustness and sensitivity of a blueprint for on-farm estimation of dairy cow energy balance. In: Journal of Dairy Science. 2018 ; Vol. 101, No. 7. pp. 6002 - 6018.
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Thorup, VM, Chagunda, MGG, Fischer, A, Weisbjerg, MR & Friggens, NC 2018, 'Robustness and sensitivity of a blueprint for on-farm estimation of dairy cow energy balance', Journal of Dairy Science, vol. 101, no. 7, pp. 6002 - 6018. https://doi.org/10.3168/jds.2017-14290

Robustness and sensitivity of a blueprint for on-farm estimation of dairy cow energy balance. / Thorup, VM; Chagunda, MGG; Fischer, A; Weisbjerg, MR; Friggens, NC.

In: Journal of Dairy Science, Vol. 101, No. 7, 05.04.2018, p. 6002 - 6018.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Robustness and sensitivity of a blueprint for on-farm estimation of dairy cow energy balance

AU - Thorup, VM

AU - Chagunda, MGG

AU - Fischer, A

AU - Weisbjerg, MR

AU - Friggens, NC

N1 - 1031445

PY - 2018/4/5

Y1 - 2018/4/5

N2 - Excessive negative energy balance (EB) has been associated with decreased reproductive performance and increased risk of lameness and metabolic diseases. On-farm, automated EB estimates for individual cows would enable dairy farmers to detect excessive negative EB early and act to minimize its extent and duration by altering feeding. Previously, we have shown that EB can be estimated from frequent measurements of body weight (BW) and body condition score (BCS) changes, referred to as EBbody. In this study, we investigated the robustness and sensitivity of the EBbody method to assess its genericity and on-farm applicability. We used 5 data sets with BW of lactating cows (name of data set in parenthesis): 65 Holstein cows in a French feeding trial (INRA); 6 Holstein cows in a British feeding trial (Friggens); 31 Holstein cows and 17 Jersey cows in a Danish feeding trial (DCRC); 140 Holstein cows in a British feeding trial (Scotland’s Rural College, SRUC); and 1,592 Holstein cows on 9 Danish farms with milking robots (automatic milking system). We used the INRA and Friggens data sets to develop a dynamic formula to correct BW for increasing residual gut-fill (RGF) during early lactation. With the DCRC data, we tested the effect of smoothing parameters and weighing frequency on EBbody. Also, 2 robustness tests were performed using the SRUC data to test the effect of diet change on BW and the automatic milking system data to test the effect of farm on BW variation. Finally, we combined the results into a blueprint describing different ways to calculate EBbody depending on the purpose and on the availability of BCS. The dynamic RGF adjustment resulted in a lower empty BW during early lactation than that obtained with the previously used constant RGF. The double-exponential smoothing method used to correct for meal-related gut-fill was robust to choice of smoothing parameters. Cows should be weighed at least once every 4 d during early lactation to capture the duration of negative EBbody. Our EBbody method proved robust to diet changes. Finally, although cow BW varied significantly between farms, the quantile regression smoothing of BW did not bias the estimation of weight differences between herds. In conclusion, these results validate the applicability of the EBbody method to estimate EB across a range of farm conditions, and we provided a blueprint that enables the estimation of EBbody for individual cows on-farm using only frequent BW, in combination with BCS when available.

AB - Excessive negative energy balance (EB) has been associated with decreased reproductive performance and increased risk of lameness and metabolic diseases. On-farm, automated EB estimates for individual cows would enable dairy farmers to detect excessive negative EB early and act to minimize its extent and duration by altering feeding. Previously, we have shown that EB can be estimated from frequent measurements of body weight (BW) and body condition score (BCS) changes, referred to as EBbody. In this study, we investigated the robustness and sensitivity of the EBbody method to assess its genericity and on-farm applicability. We used 5 data sets with BW of lactating cows (name of data set in parenthesis): 65 Holstein cows in a French feeding trial (INRA); 6 Holstein cows in a British feeding trial (Friggens); 31 Holstein cows and 17 Jersey cows in a Danish feeding trial (DCRC); 140 Holstein cows in a British feeding trial (Scotland’s Rural College, SRUC); and 1,592 Holstein cows on 9 Danish farms with milking robots (automatic milking system). We used the INRA and Friggens data sets to develop a dynamic formula to correct BW for increasing residual gut-fill (RGF) during early lactation. With the DCRC data, we tested the effect of smoothing parameters and weighing frequency on EBbody. Also, 2 robustness tests were performed using the SRUC data to test the effect of diet change on BW and the automatic milking system data to test the effect of farm on BW variation. Finally, we combined the results into a blueprint describing different ways to calculate EBbody depending on the purpose and on the availability of BCS. The dynamic RGF adjustment resulted in a lower empty BW during early lactation than that obtained with the previously used constant RGF. The double-exponential smoothing method used to correct for meal-related gut-fill was robust to choice of smoothing parameters. Cows should be weighed at least once every 4 d during early lactation to capture the duration of negative EBbody. Our EBbody method proved robust to diet changes. Finally, although cow BW varied significantly between farms, the quantile regression smoothing of BW did not bias the estimation of weight differences between herds. In conclusion, these results validate the applicability of the EBbody method to estimate EB across a range of farm conditions, and we provided a blueprint that enables the estimation of EBbody for individual cows on-farm using only frequent BW, in combination with BCS when available.

KW - Body reserve

KW - Decision support

KW - On-farm

KW - Precision livestock

U2 - 10.3168/jds.2017-14290

DO - 10.3168/jds.2017-14290

M3 - Article

VL - 101

SP - 6002

EP - 6018

JO - Journal of Dairy Science

JF - Journal of Dairy Science

SN - 0022-0302

IS - 7

ER -