Estimation of genetic parameters for production, composition and processability of milk from dairy sheep in a New Zealand flock.
Saved in:
| Title: | Estimation of genetic parameters for production, composition and processability of milk from dairy sheep in a New Zealand flock. |
|---|---|
| Authors: | Marshall, Ana Carolina1,2 (AUTHOR) a.c.marshall@massey.ac.nz, Lopez-Villalobos, Nicolas1 (AUTHOR), Loveday, Simon M.2,3 (AUTHOR), Weeks, Mike4 (AUTHOR), McNabb, Warren2 (AUTHOR) |
| Source: | New Zealand Journal of Agricultural Research. Oct2025, Vol. 68 Issue 5, p1107-1124. 18p. |
| Subjects: | Coagulation (Food science), Genetic correlations, Milk yield, Composition of milk, Ewes, Sheep milk |
| Abstract: | This paper aimed to estimate the heritability and genetic correlations for processability (milk coagulation properties, cheese yield, and heat stability), milk production, and milk composition of dairy sheep in a New Zealand flock. Test-day records from 169 ewes were obtained during the 2021–2022 season. Heritability estimates for yield traits (milk, fat, protein, and lactose yield) were moderate and ranged from 0.33 to 0.38. Whereas heritability estimates for processability traits were lower and ranged from 0.17 to 0.27. The genetic correlations indicated that poorer milk coagulation properties were associated with lower mammary health indicated by higher SCS, higher pH, and lower lactose content. Additionally, a higher ratio of casein to calcium i.e. lower availability of soluble calcium was associated with poorer milk coagulation properties. Higher yields of milk, fat, protein, and lactose were associated, but to a smaller degree, with better MCP. It is proposed that genetic improvement of dairy sheep for higher yields of fat and protein, and for lower SCS, could indirectly improve milk processability for cheese-making. However, it is recommended that larger studies involving more dairy sheep flocks are conducted to validate the present results before developing a selection index for this industry. [ABSTRACT FROM AUTHOR] |
| Copyright of New Zealand Journal of Agricultural Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!