1Dipartimento di Agraria,Sezione di Scienze Zootecniche,Università degli Studi di Sassari,Viale Italia,39,07100 Sassari,Italy.
2Associazione regionale allevatori della Sardegna,09128 Cagliari,Italy.
Animal. 2019 Mar;13(3):469-476. doi: 10.1017/S1751731118001659. Epub 2018 Jul 17.
Fatty acid (FA) composition is a key component of sheep milk nutritional quality. However, breeding for FA composition in dairy sheep is hampered by the logistic and phenotyping costs. This study was aimed at estimating genetic parameters for sheep milk FA and to test the feasibility of their routine measurement by using Fourier-transform IR (FTIR) spectroscopy. Milk FA composition of 989 Sarda ewes farmed in 48 flocks was measured by gas chromatography (FAGC). Moreover, FTIR spectrum was collected for each sample, and it was used to predict FA composition (FAFTIR) by partial least squares regression: 700 ewes were used for estimating model parameters, whereas the remaining 289 animals were used to validate the model. One hundred replicates were performed by randomly assigning animals to estimation and validation data set, respectively. Variance components for both measured and predicted traits were estimated with an animal model that included the fixed effects of parity, days in milking interval, lambing month, province, altitude of flock location, the random effects of flock-test-date and animal genetic additive. Genetic correlations among FAGC, and between corresponding FAGC and FAFTIR were estimated by bivariate analysis. Coefficients of determination between FAGC and FAFTIR ranged from moderate (about 0.50 for odd- and branched-chain FA) to high (about 0.90 for de novo FA) values. Low-to-moderate heritabilities were observed for individual FA (ranging from 0.01 to 0.47). The largest value was observed for GC measured C16:0. Low-to-moderate heritabilities were estimated for FA groups. In most of cases, heritabilites were slightly larger for FAGC than FAFTIR. Estimates of genetic correlations among FAGC showed a large variability in magnitude and sign. The genetic correlation between FAFTIR and FAGC was higher than 60% for all investigated traits. Results of the present study confirm the existence of genetic variability of the FA composition in sheep and suggest the feasibility of using FAFTIR as proxies for these traits in large scale breeding programs.
脂肪酸(FA)组成是绵羊奶营养质量的关键组成部分。然而,由于物流和表型成本,在乳用绵羊中进行 FA 组成的选育受到阻碍。本研究旨在估计绵羊奶 FA 的遗传参数,并通过傅里叶变换红外(FTIR)光谱法测试其常规测量的可行性。通过气相色谱法(FAGC)测量了 48 个羊群中 989 只萨拉丁母羊的乳脂 FA 组成。此外,为每个样本收集了 FTIR 光谱,并通过偏最小二乘回归(PLSR)预测 FA 组成(FAFTIR):700 只羊用于估计模型参数,而其余 289 只羊用于验证模型。通过分别随机分配动物到估计和验证数据集来执行 100 次重复。使用包括胎次、泌乳间隔天数、产羔月份、省份、羊群位置海拔、羊群-测试日期和动物遗传加性随机效应的动物模型来估计测量和预测性状的方差分量。通过二元分析估计 FAGC 之间以及相应的 FAGC 和 FAFTIR 之间的遗传相关性。FAGC 和 FAFTIR 之间的决定系数在中度(奇数和支链 FA 约为 0.50)到高度(从头 FA 约为 0.90)之间。单个 FA 的遗传力较低(0.01 至 0.47 之间)。GC 测定的 C16:0 观察到最大值。FA 组的遗传力估计值较低。在大多数情况下,FAGC 的遗传力略高于 FAFTIR。FAGC 之间遗传相关性的估计值在大小和符号上有很大的可变性。FAFTIR 和 FAGC 之间的遗传相关性对于所有研究的性状均高于 60%。本研究的结果证实了绵羊 FA 组成存在遗传变异性,并表明在大规模育种计划中使用 FAFTIR 作为这些性状的替代物是可行的。