Faecal-NIRS for predicting animal-to-animal variation in feed organic matter digestibility in cattle

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Andueza, Donato | Picard, Fabienne | Pourrat, Juliane | de La Torre, Anne | Devant, Emmanuel | Reynolds, C.K. | Froidmont, Eric | Bernard, Laurence | Martin, Cécile | Noziere, Pierre | Cantalapiedra-Hijar, Gonzalo

Edité par CCSD ; Wageningen Academic Publishers -

Présentation orale. International audience. Ruminant feed utilisation efficiency is determined in part by organic matter digestibility (OMD). However, OMDis expensive and time consuming to measure it in routine. Faecal near infrared (faecal-NIR) spectroscopy has beendeveloped for predicting OMD in cattle across, but its potential for estimating the between-animal variability ofOMD has not been reported. The objective of this study was to evaluate the use of of faecal-NIR for assessing thebetween-animal variability of OMD across different dietary and experimental conditions in cattle. Faecal samplesfrom individual beef and dairy cows associated (n=454) to individual measured OMD values were used. Valuesranged from 55.1 and 85.0% (mean±SD; 70.6±4.20%) for 9 experiments at 4 EU sites using 50 different diets. ANIR calibration model for predicting OMD was obtained and validated by cross-validation. Relationship betweencross-validated OMD predictions and measured OMD values were analysed by regression analysis with faecal-NIRcross-validated predictions as fixed factor and diet within experiment as random factor. The faecal-NIR predictionwas positive and correlated (P<0.001) to measured OMD. The model residual standard error was 2.05%. The effectof diet within experiment was significant (P<0.05) but minor since it representing 25% of error. For a given diet, thecorrelation coefficients between measured and faecal-NIR predictions when higher when measured OMD variabilitybetween animals was high. Our data highlight the potential of faecal-VIS/NIR to discriminate individuals in termsof OMD within a same diet. It could be used as an economical high-throughput tool for exploring between animalvariability of OMD.

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