Comparison of the predictive ability of NIR calibration models developed to predict nutritional parameters in total mixed rations by using reference data expressed 'as dry matter' or 'as is basis'

Autor: María del Mar Garrido-Cuevas, Begoña De la Roza, Dolores Pérez-Marín, José A. Entrenas, Ana Garrido
Rok vydání: 2021
Předmět:
Zdroj: Sensing for Agriculture and Food Quality and Safety XIII.
DOI: 10.1117/12.2588239
Popis: Feeding dairy cows with Total Mixed Rations (TMR) is a cost-effective way to obtain high milk yield. Animal nutritionists are demanding accurate information on the main chemical constituents of TMR to properly feed lactating cows. The use of portable NIRS devices could provide an affordable answer. This work analysed a total of 121 TMR using two portable NIRS instruments for the prediction of dry matter, crude protein and neutral detergent fibre. The paper evaluated whether there were significant differences between the predictive capacities of the models developed from analytical data expressed “ as dry matter” or “ as is basis”.
Databáze: OpenAIRE