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.

Modelling to predict pig performance

Scientists hope their model will help farmers predict how pigs will grow in a range of environments
Scientists hope their model will help farmers predict how pigs will grow in a range of environments

New computer modelling tools are being developed as part of an international project to help predict how pigs will grow in different environments.

Researchers at Edinburgh University’s Roslin Institute are working with scientists at Iowa State University.

They say the development of a new modelling tool could help pig farmers produce genetically improved livestock, by providing a way to better predict the genetics that underpin a pig’s ability to grow under different conditions.

The researchers will combine existing models of the function and structure of the genetic make-up of pigs with models of growth that have been developed by animal nutritionists and used to formulate diets for pigs.

These will be used with data on feed intake, body weights and body composition of pigs, provided by a commercial breeding company.

The modelling tool will be validated using the data from the breeding company to demonstrate its ability to improve prediction of pig growth under different temperatures, humidity levels, diets and diseases.

“Existing genomic models often fail to predict how the offspring of an animal will develop under diverse conditions,” said Andrea Doeschl-Wilson, deputy head of the genetics and genomics division at the Roslin Institute.

“By integrating growth models from animal nutritionists with existing models, and using real data from pigs, we hope that our model will help farmers predict how pigs will grow in a range of environments.”

The project is backed by a $500,000 (ÂŁ381,000) grant from the US National Institute of Food and Agriculture.