Bergamaschi Matteo, Cecchinato Alessio, Biasioli Franco, Gasperi Flavia, Martin Bruno, Bittante Giovanni
Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua, Viale dell'Università 16, 35020, Legnaro, PD, Italy.
Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele all'Adige, TN, Italy.
Genet Sel Evol. 2016 Nov 16;48(1):89. doi: 10.1186/s12711-016-0263-4.
Volatile organic compounds determine important quality traits in cheese. The aim of this work was to infer genetic parameters of the profile of volatile compounds in cheese as revealed by direct-injection mass spectrometry of the headspace gas from model cheeses that were produced from milk samples from individual cows.
A total of 1075 model cheeses were produced using raw whole-milk samples that were collected from individual Brown Swiss cows. Single spectrometry peaks and a combination of these peaks obtained by principal component analysis (PCA) were analysed. Using a Bayesian approach, we estimated genetic parameters for 240 individual spectrometry peaks and for the first ten principal components (PC) extracted from them.
Our results show that there is some genetic variability in the volatile compound fingerprint of these model cheeses. Most peaks were characterized by a substantial heritability and for about one quarter of the peaks, heritability (up to 21.6%) was higher than that of the best PC. Intra-herd heritability of the PC ranged from 3.6 to 10.2% and was similar to heritabilities estimated for milk fat, specific fatty acids, somatic cell count and some coagulation parameters in the same population. We also calculated phenotypic correlations between PC (around zero as expected), the corresponding genetic correlations (from -0.79 to 0.86) and correlations between herds and sampling-processing dates (from -0.88 to 0.66), which confirmed that there is a relationship between cheese flavour and the dairy system in which cows are reared.
This work reveals the existence of a link between the cow's genetic background and the profile of volatile compounds in cheese. Analysis of the relationships between the volatile organic compound (VOC) content and the sensory characteristics of cheese as perceived by the consumer, and of the genetic basis of these relationships could generate new knowledge that would open up the possibility of controlling and improving the sensory properties of cheese through genetic selection of cows. More detailed investigations are necessary to connect VOC with the sensory properties of cheese and gain a better understanding of the significance of these new phenotypes.
挥发性有机化合物决定了奶酪的重要品质特征。本研究的目的是通过对来自个体奶牛的牛奶样本制成的模拟奶酪顶空气体进行直接进样质谱分析,推断奶酪中挥发性化合物谱的遗传参数。
使用从个体瑞士褐牛采集的生鲜全脂牛奶样本制作了总共1075个模拟奶酪。分析了单光谱峰以及通过主成分分析(PCA)获得的这些峰的组合。采用贝叶斯方法,我们估计了240个个体光谱峰以及从中提取的前十个主成分(PC)的遗传参数。
我们的结果表明,这些模拟奶酪的挥发性化合物指纹存在一定的遗传变异性。大多数峰具有较高的遗传力,约四分之一的峰遗传力(高达21.6%)高于最佳主成分。主成分的群体内遗传力范围为3.6%至10.2%,与同一群体中乳脂肪、特定脂肪酸、体细胞计数和一些凝乳参数的遗传力相似。我们还计算了主成分之间的表型相关性(如预期的接近零)、相应的遗传相关性(从-0.79到0.86)以及群体与采样-加工日期之间的相关性(从-0.88到0.66),这证实了奶酪风味与奶牛饲养的乳制品系统之间存在关联。
本研究揭示了奶牛的遗传背景与奶酪中挥发性化合物谱之间存在联系。分析挥发性有机化合物(VOC)含量与消费者感知的奶酪感官特性之间的关系以及这些关系的遗传基础,可能会产生新的知识,从而有可能通过对奶牛的遗传选择来控制和改善奶酪的感官特性。需要进行更详细的研究,以将VOC与奶酪的感官特性联系起来,并更好地理解这些新表型的意义。