4.7 Article

Phenotypic and genetic characterization of the occurrence of noncoagulating milk in dairy sheep

Journal

JOURNAL OF DAIRY SCIENCE
Volume 105, Issue 8, Pages 6773-6782

Publisher

ELSEVIER SCIENCE INC
DOI: 10.3168/jds.2021-21661

Keywords

milk coagulation; multivariate; mid-infrared spectroscopy; coagulation heritability

Funding

  1. Regional Government of Sardinia [CRP 61608]

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Milk coagulation ability is crucial for the sheep dairy industry. This study investigates the causes of noncoagulation of sheep milk and explores the effect of milk physicochemical properties and genetic background on milk coagulation status. The results highlight the importance of protein and chloride content, as well as the somatic cell score, in determining the coagulation status of sheep milk.
Milk coagulation ability is of central importance for the sheep dairy industry because almost all sheep milk is destined for cheese processing. The occurrence of milk with impaired coagulation properties is an obstacle to cheese processing and, in turn, to the profitability of the dairy companies. In this work, we investigated the causes of noncoagulation of sheep milk; specifically, we studied the effect of milk physicochemical properties on milk coagulation status [coagulating and noncoagulat-ing (NC) milk samples, which do or do not coagulate within 30 min, respectively], and whether mid-infrared spectroscopy (MIR) could be used to assess variability in coagulation status. We also investigated the genetic background of milk coagulation ability. Individual milk samples were collected from 996 Sarda ewes farmed in 47 flocks located in Sardinia (Italy). Considered traits were daily milk yield, milk composition traits, and milk coagulation properties (rennet coagulation time, curd firming time, and curd firmness), and MIR spectra were acquired. About 9% of samples did not coagulate within 30 min. A logistic regression approach was used to test the effect of milk-related traits on milk coagula-tion status. A principal component (PC) analysis was carried out on the milk MIR spectra, and PC scores were then used as covariates in a logistic regression model to assess their relationship with milk coagula-tion status. Results of the present work demonstrated that the probability of having NC samples increases as milk contents of proteins and chlorides and somatic cell score increase. The analysis of PC extracted from milk spectra that influenced coagulation status highlighted key regions associated with lactose and protein con-centrations, and others not associated with routinely collected milk composition traits. These results suggest that the occurrence of NC is mostly related to dam-age of the epithelium secretory mammary cells, which occurs with the advancement of a lactation or due to unhealthy mammary gland status. Genetic analysis of milk coagulation status and of the extracted PC con-firmed the genetic background of the milk coagulability of sheep milk.

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