This study investigated the modeling of curd-firming (CF) over time (CFt) of sheep milk. Milk samples from 1,121 Sarda ewes from 23 flocks were analyzed for coagulation properties. Lactodynamographic analyses were conducted for up to 60min, and 240 CF individual observations from each sample were recorded. Individual sample CFtequation parameters (RCTeq, rennet coagulation time; CFP,asymptotic potential value of curd firmness; kCF, curd-firming instant rate constant; and kSR, curd syneresis instant rate constant) were estimated, and the derived traits (CFmax, the point at which CFtattained its maximum level, and tmax, the time at which CFmaxwas attained) were calculated. The incidence of noncoagulating milk samples was 0.4%. The iterative estimation procedure applied to the individual coagulation data showed a small number of not-converged samples (4.4%), which had late coagulation and an almost linear pattern of the ascending part of the CFtcurve that caused a high value of CFP, a low value of kCF, and a high value of kSR. Converged samples were classified on the basis of their CFtcurves into no-kSR(18.0%), low-kSR(72.6%), and high-kSR(4.5%). A CFtthat was growing continuously because of the lack of the syneresis process characterized the no-kSRsamples. The high-kSRsamples had a much larger CFP, a smaller kCF, and an anticipation of tmax, whereas the low-kSRsamples had a fast kCFand a slower kSR. The part of the average CFtcurves that showed an increase was similar among the 3 different syneretic groups, whereas the part that decreased was different because of the expulsion of whey from the curd. The traditional milk coagulation properties recorded within 30min were not able to detect any appreciable differences among the 4 groups of coagulating samples, which could lead to a large underestimation of the maximum CF of all samples (if predicted by a30), with the exception of the no-kSRsamples. Large individual variability was found and was likely caused by the effects of the dairy system, such as flock size (on CFmax, tmax, and % ewes with no-kSRmilk), flock within flock size (representing 11 to 43% of total variance for % ewes with no-kSRmilk and CFmax, respectively), days in milk (on all model parameters and CFmax), parity (on RCTeq, kSR, and CFmax), daily milk yield (on RCTeqand CFmax), and position of the individual pendulum that significantly affected model parameters and derived traits. In conclusion, the results showed that the modeling of coagulation, curd-firming, and syneresis is a suitable tool to achieve a deeper interpretation of the coagulation and curd-firming processes of sheep milk and also to study curd syneresis.

Modeling of coagulation, curd firming, and syneresis of milk from Sarda ewes / Vacca, G. M.; Pazzola, M.; Dettori, M. L.; Pira, E.; Malchiodi, F.; Cipolat-Gotet, C.; Cecchinato, A.; Bittante, G.. - In: JOURNAL OF DAIRY SCIENCE. - ISSN 0022-0302. - 98:4(2015), pp. 2245-2259. [10.3168/jds.2014-8902]

Modeling of coagulation, curd firming, and syneresis of milk from Sarda ewes

Cipolat-Gotet, C.;
2015

Abstract

This study investigated the modeling of curd-firming (CF) over time (CFt) of sheep milk. Milk samples from 1,121 Sarda ewes from 23 flocks were analyzed for coagulation properties. Lactodynamographic analyses were conducted for up to 60min, and 240 CF individual observations from each sample were recorded. Individual sample CFtequation parameters (RCTeq, rennet coagulation time; CFP,asymptotic potential value of curd firmness; kCF, curd-firming instant rate constant; and kSR, curd syneresis instant rate constant) were estimated, and the derived traits (CFmax, the point at which CFtattained its maximum level, and tmax, the time at which CFmaxwas attained) were calculated. The incidence of noncoagulating milk samples was 0.4%. The iterative estimation procedure applied to the individual coagulation data showed a small number of not-converged samples (4.4%), which had late coagulation and an almost linear pattern of the ascending part of the CFtcurve that caused a high value of CFP, a low value of kCF, and a high value of kSR. Converged samples were classified on the basis of their CFtcurves into no-kSR(18.0%), low-kSR(72.6%), and high-kSR(4.5%). A CFtthat was growing continuously because of the lack of the syneresis process characterized the no-kSRsamples. The high-kSRsamples had a much larger CFP, a smaller kCF, and an anticipation of tmax, whereas the low-kSRsamples had a fast kCFand a slower kSR. The part of the average CFtcurves that showed an increase was similar among the 3 different syneretic groups, whereas the part that decreased was different because of the expulsion of whey from the curd. The traditional milk coagulation properties recorded within 30min were not able to detect any appreciable differences among the 4 groups of coagulating samples, which could lead to a large underestimation of the maximum CF of all samples (if predicted by a30), with the exception of the no-kSRsamples. Large individual variability was found and was likely caused by the effects of the dairy system, such as flock size (on CFmax, tmax, and % ewes with no-kSRmilk), flock within flock size (representing 11 to 43% of total variance for % ewes with no-kSRmilk and CFmax, respectively), days in milk (on all model parameters and CFmax), parity (on RCTeq, kSR, and CFmax), daily milk yield (on RCTeqand CFmax), and position of the individual pendulum that significantly affected model parameters and derived traits. In conclusion, the results showed that the modeling of coagulation, curd-firming, and syneresis is a suitable tool to achieve a deeper interpretation of the coagulation and curd-firming processes of sheep milk and also to study curd syneresis.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2843069
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