Dry Matter Intake Prediction from Milk Spectra in Sarda Dairy Sheep

Author:

Ledda Antonello1,Carta Silvia1ORCID,Correddu Fabio1ORCID,Cesarani Alberto12ORCID,Atzori Alberto Stanislao1ORCID,Battacone Gianni1ORCID,Macciotta Nicolò Pietro Paolo1

Affiliation:

1. Dipartimento di Agraria, Università di Sassari, 07100 Sassari, Italy

2. Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA

Abstract

Individual dry matter intake (DMI) is a relevant factor for evaluating feed efficiency in livestock. However, the measurement of this trait on a large scale is difficult and expensive. DMI, as well as other phenotypes, can be predicted from milk spectra. The aim of this work was to predict DMI from the milk spectra of 24 lactating Sarda dairy sheep ewes. Three models (Principal Component Regression, Partial Least Squares Regression, and Stepwise Regression) were iteratively applied to three validation schemes: records, ewes, and days. DMI was moderately correlated with the wavenumbers of the milk spectra: the largest correlations (around ±0.30) were observed at ~1100–1330 cm−1 and ~2800–3000 cm−1. The average correlations between real and predicted DMI were 0.33 (validation on records), 0.32 (validation on ewes), and 0.23 (validation on days). The results of this preliminary study, even if based on a small number of animals, demonstrate that DMI can be routinely estimated from the milk spectra.

Funder

Italian Ministry of Agriculture

European Union–NextGenerationEU

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

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