Potential of novel feed efficiency traits for dairy cows based on respiration gas exchanges measured by respiration chambers or GreenFeed

Residual feed intake (RFI), calculated as a difference between observed and predicted intake, is a commonly used estimate of feed efficiency (FE). Determination of FE in practical dairy herds is challenging, as it requires accurate estimation of feed intake of individual cows. Alternatively, FE could be estimated as a difference between observed and predicted metabolic losses derived from gas exchanges. The objectives were to compare respiration chambers (RC) and the GreenFeed (GF) system in estimating FE based on the gas data, and to compare FE estimated from measured feed intake or gas data. The study was conducted using 32 Nordic Red dairy cows (DIM 159 ± 63, BW 634 ± 60 kg, and milk yield 28.9 ± 6.7 kg/d) fed a grass silage-based diet (CP 152 g/kg DM, NDF 395 g/kg DM). The study included two 14-d periods with the GF system with a 1-wk period in RC chambers (measurements of 3 days' duration) between the GF periods. Residual CO<sub>2</sub> production (RCO<sub>2</sub>), residual O<sub>2</sub> consumption (RO<sub>2</sub>) and residual heat production (RHP) were estimated as observed minus predicted values derived from energy requirements. Root means squared errors of DMI prediction were smaller for models based on CO<sub>2</sub> or O<sub>2</sub> and ECM yield compared with ECM + BW model both with RC and GF data with minor differences between the methods. The relationship between GF and RC was slightly better for RO<sub>2</sub> (R<sup>2</sup> = 0.68) and RHP (R<sup>2</sup> = 0.67) compared with RCO<sub>2</sub> (R<sup>2</sup> = 0.59). Seventy-five percent of the top 50% (12/16) cows in GF were ranked among the top 50% in RC. Repeatability values of different FE traits were similar or higher for the data based on gas data measured by GF compared with the corresponding values based on measured feed intake. Residual CO<sub>2</sub> production explained 57% of variation in residual ME intake (RMEI). Gross FE expressed as ECM/CO<sub>2</sub> explained 82% of gross FE expressed as ECM/DMI. When the cows were divided into low, medium, and high RCO<sub>2</sub> groups, the differences in various FE traits were consistent with those based on measured feed intake. The difference in RMEI between the Low- and High-RCO<sub>2</sub> cows was 15 MJ/d. Low-RCO<sub>2</sub> cows produced 13% less methane per kilogram ECM, had higher diet digestibility, and produced less heat than high-RCO<sub>2</sub> cows. It is concluded that estimating FE from gas data measured by the GF system has a potential to rank the cows according to FE in farm conditions without requiring measuring feed intake.

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Journal
Journal of Dairy Science
Published
2025-08-05
DOI
https://doi.org/10.3168/jds.2025-26683
Primary Topic
Effects of Environmental Stressors on Livestock
Type
article
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article

Potential of novel feed efficiency traits for dairy cows based on respiration gas exchanges measured by respiration chambers or GreenFeed

A.R. Bayat, Pekka Huhtanen
Journal of Dairy Science
Effects of Environmental Stressors on Livestock
article

Potential of novel feed efficiency traits for dairy cows based on respiration gas exchanges measured by respiration chambers or GreenFeed

A.R. Bayat, Pekka Huhtanen
article en

Abstract

Residual feed intake (RFI), calculated as a difference between observed and predicted intake, is a commonly used estimate of feed efficiency (FE). Determination of FE in practical dairy herds is challenging, as it requires accurate estimation of feed intake of individual cows. Alternatively, FE could be estimated as a difference between observed and predicted metabolic losses derived from gas exchanges. The objectives were to compare respiration chambers (RC) and the GreenFeed (GF) system in estimating FE based on the gas data, and to compare FE estimated from measured feed intake or gas data. The study was conducted using 32 Nordic Red dairy cows (DIM 159 ± 63, BW 634 ± 60 kg, and milk yield 28.9 ± 6.7 kg/d) fed a grass silage-based diet (CP 152 g/kg DM, NDF 395 g/kg DM). The study included two 14-d periods with the GF system with a 1-wk period in RC chambers (measurements of 3 days' duration) between the GF periods. Residual CO<sub>2</sub> production (RCO<sub>2</sub>), residual O<sub>2</sub> consumption (RO<sub>2</sub>) and residual heat production (RHP) were estimated as observed minus predicted values derived from energy requirements. Root means squared errors of DMI prediction were smaller for models based on CO<sub>2</sub> or O<sub>2</sub> and ECM yield compared with ECM + BW model both with RC and GF data with minor differences between the methods. The relationship between GF and RC was slightly better for RO<sub>2</sub> (R<sup>2</sup> = 0.68) and RHP (R<sup>2</sup> = 0.67) compared with RCO<sub>2</sub> (R<sup>2</sup> = 0.59). Seventy-five percent of the top 50% (12/16) cows in GF were ranked among the top 50% in RC. Repeatability values of different FE traits were similar or higher for the data based on gas data measured by GF compared with the corresponding values based on measured feed intake. Residual CO<sub>2</sub> production explained 57% of variation in residual ME intake (RMEI). Gross FE expressed as ECM/CO<sub>2</sub> explained 82% of gross FE expressed as ECM/DMI. When the cows were divided into low, medium, and high RCO<sub>2</sub> groups, the differences in various FE traits were consistent with those based on measured feed intake. The difference in RMEI between the Low- and High-RCO<sub>2</sub> cows was 15 MJ/d. Low-RCO<sub>2</sub> cows produced 13% less methane per kilogram ECM, had higher diet digestibility, and produced less heat than high-RCO<sub>2</sub> cows. It is concluded that estimating FE from gas data measured by the GF system has a potential to rank the cows according to FE in farm conditions without requiring measuring feed intake.

Journal of Dairy ScienceVol. 108(11)
Natural Resources Institute Finland (FI)
Affordable and clean energy
Openalex Percentile: Top 78%
Effects of Environmental Stressors on Livestock
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