Calendar An icon of a desk calendar. Cancel An icon of a circle with a diagonal line across. Caret An icon of a block arrow pointing to the right. Email An icon of a paper envelope. Facebook An icon of the Facebook "f" mark. Google An icon of the Google "G" mark. Linked In An icon of the Linked In "in" mark. Logout An icon representing logout. Profile An icon that resembles human head and shoulders. Telephone An icon of a traditional telephone receiver. Tick An icon of a tick mark. Is Public An icon of a human eye and eyelashes. Is Not Public An icon of a human eye and eyelashes with a diagonal line through it. Pause Icon A two-lined pause icon for stopping interactions. Quote Mark A opening quote mark. Quote Mark A closing quote mark. Arrow An icon of an arrow. Folder An icon of a paper folder. Breaking An icon of an exclamation mark on a circular background. Camera An icon of a digital camera. Caret An icon of a caret arrow. Clock An icon of a clock face. Close An icon of the an X shape. Close Icon An icon used to represent where to interact to collapse or dismiss a component Comment An icon of a speech bubble. Comments An icon of a speech bubble, denoting user comments. Comments An icon of a speech bubble, denoting user comments. Ellipsis An icon of 3 horizontal dots. Envelope An icon of a paper envelope. Facebook An icon of a facebook f logo. Camera An icon of a digital camera. Home An icon of a house. Instagram An icon of the Instagram logo. LinkedIn An icon of the LinkedIn logo. Magnifying Glass An icon of a magnifying glass. Search Icon A magnifying glass icon that is used to represent the function of searching. Menu An icon of 3 horizontal lines. Hamburger Menu Icon An icon used to represent a collapsed menu. Next An icon of an arrow pointing to the right. Notice An explanation mark centred inside a circle. Previous An icon of an arrow pointing to the left. Rating An icon of a star. Tag An icon of a tag. Twitter An icon of the Twitter logo. Video Camera An icon of a video camera shape. Speech Bubble Icon A icon displaying a speech bubble WhatsApp An icon of the WhatsApp logo. Information An icon of an information logo. Plus A mathematical 'plus' symbol. Duration An icon indicating Time. Success Tick An icon of a green tick. Success Tick Timeout An icon of a greyed out success tick. Loading Spinner An icon of a loading spinner. Facebook Messenger An icon of the facebook messenger app logo. Facebook An icon of a facebook f logo. Facebook Messenger An icon of the Twitter app logo. LinkedIn An icon of the LinkedIn logo. WhatsApp Messenger An icon of the Whatsapp messenger app logo. Email An icon of an mail envelope. Copy link A decentered black square over a white square.

Professor Davy McCracken discusses hill ewe selection

Sheep at the research farms.
Sheep at the research farms.

Choosing which ewes to retain in the flock is crucial to maintaining good flock performance. It is, however, often performed on a subjective basis that relies on the shepherd’s experience and her or his ability to identify productive ewes.

As part of an ongoing PhD project at SRUC’s Kirkton and Auchtertyre upland research farms, we collected detailed data over two years from ewes within our Kirkton flock at stock draw, the term we have adopted for the process of sorting and drafting ewes, to keep or sell, in preparation for the next breeding season.

The data was collated into three different categories: appearance traits scored by the shepherd at the time of stock draw; recorded performance history; and Estimated Breeding Values (EBVs) generated by Signet Breeding Services.

The survival of each ewe and her performance (number and weight of lambs weaned) were recorded each year following the stock draw.

Overall, we found that the recorded performance data predicted survival and performance of the ewe in the following year with higher accuracy than appearance traits or EBVs alone. In particular, the ewe’s weight pre-mating, her weights and body condition scores from the previous year (especially in early pregnancy and at weaning), previous litter size, and the ewe’s own wean weight as a lamb were all significant in predicting ewe survival and performance.

Ewe size, jaw position and flatness of back were the three appearance traits which were significant for predicting future but poorly predicted survival. The EBVs that best predicted survival were the ewe’s own breeding value for eight week weight and scan weight, while the EBV that best predicted future performance was litter size.

Consistently and objectively identifying those ewes more likely to survive, and be productive over the coming year, can therefore aid and improve the selection process even when parentage data (and therefore EBVs) are unavailable. Taking such an approach becomes even more important in larger flocks where the shepherd’s skills and expertise have be spread over many more ewes. This research is primarily funded from the Scottish Government’s rural and environment science and analytical services division strategic research programme.

*In his monthly column, SRUC’s Professor Davy McCracken provides an insight into the work being done at the college’s hill and mountain research centre at Kirkton and Auchtertyre