Article (Scientific journals)
Combining short-term breath measurements to develop methane prediction equations from cow milk mid-infrared spectra
Fresco, S; Vanlierde, A; Boichard, D et al.
2024In Animal, 18 (7)
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Keywords :
Diurnal variation; GreenFeed system; Greenhouse gas emissions; Holstein dairy cow; Mitigation
Abstract :
[en] Predicting methane (CH4) emission from milk mid-infrared (MIR) spectra provides large amounts of data which is necessary for genomic selection. Recent prediction equations were developed using the GreenFeed system, which required averaging multiple CH4 measurements to obtain an accurate estimate, resulting in large data loss when animals unfrequently visit the GreenFeed. This study aimed to determine if calibrating equations on CH4 emissions corrected for diurnal variations or modeled throughout lactation would improve the accuracy of the predictions by reducing data loss compared with standard averaging methods used with GreenFeed data. The calibration dataset included 1 822 spectra from 235 cows (Holstein, Montbéliarde, and Abondance), and the validation dataset included 104 spectra from 46 (Holstein and Montbéliarde). The predictive ability of the equations calibrated on MIR spectra only was low to moderate (R2v = 0.22–0.36, RMSE = 57–70 g/d). Equations using CH4 averages that had been pre−corrected for diurnal variations tended to perform better, especially with respect to the error of prediction. Furthermore, pre−correcting CH4 values allowed to use all the data available without requiring a minimum number of spot measures at the GreenFeed device for calculating averages. This study provides advice for developing new prediction equations, in addition to a new set of equations based on a large and diverse population. © 2024 The Authors
Disciplines :
Animal production & animal husbandry
Genetics & genetic processes
Author, co-author :
Fresco, S;  Eliance, 149 rue de Bercy, Paris cedex 12, 75595, France ; Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France
Vanlierde, A;  Walloon Agricultural Research Centre, Animal Production Unit, Gembloux, 5030, Belgium
Boichard, D;  Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France
Lefebvre, R;  Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France
Gaborit, M;  INRAE UE326 Domaine Expérimental du Pin, Exmes, 61310, France
Bore, R;  Institut de l’Élevage, 149 Rue de Bercy, Paris, 75012, France
Fritz, S;  Eliance, 149 rue de Bercy, Paris cedex 12, 75595, France ; Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France
Gengler, Nicolas  ;  Université de Liège - ULiège > TERRA Research Centre > Animal Sciences (AS)
Martin, P;  Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France
Language :
English
Title :
Combining short-term breath measurements to develop methane prediction equations from cow milk mid-infrared spectra
Publication date :
2024
Journal title :
Animal
ISSN :
1751-7311
eISSN :
1751-732X
Publisher :
Elsevier B.V.
Volume :
18
Issue :
7
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 29 June 2024

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