Ledda Antonello, Carta Silvia, Correddu Fabio, Cesarani Alberto, Atzori Alberto Stanislao, Battacone Gianni, Macciotta Nicolò Pietro Paolo
Dipartimento di Agraria, Università di Sassari, 07100 Sassari, Italy.
Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.
Animals (Basel). 2023 Feb 20;13(4):763. doi: 10.3390/ani13040763.
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 and ~2800-3000 cm. 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.
个体干物质摄入量（DMI）是评估家畜饲料效率的一个相关因素。然而，大规模测量该性状既困难又昂贵。DMI以及其他表型可以从乳光谱中预测出来。本研究的目的是根据24只泌乳的萨尔达奶山羊母羊的乳光谱预测DMI。三种模型（主成分回归、偏最小二乘回归和逐步回归）被迭代应用于三种验证方案：记录、母羊和天数。DMI与乳光谱的波数呈中等程度的相关性：在1100 - 1330 cm和2800 - 3000 cm处观察到最大相关性（约±0.30）。实际DMI与预测DMI之间的平均相关性分别为0.33（基于记录的验证）、0.32（基于母羊的验证）和0.23（基于天数的验证）。这项初步研究的结果，即使是基于少量动物，也表明可以从乳光谱中常规估计DMI。
