<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-08-26T13:36:10Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/A591D31E-1B25-4D26-A51E-EDD2EC052295" ns1:id="A591D31E-1B25-4D26-A51E-EDD2EC052295"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/EA9AF1C1-F3F0-4D4D-86E7-8C5E6BEC6992" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C05BFACE-E1CA-462E-A4A6-BBD8DAAF165B" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/387EE37F-97CC-4D8D-AD05-8971F42884FD" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E08FBFCE-F6D4-4A5B-A715-85BC4E5DFD4F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C05BFACE-E1CA-462E-A4A6-BBD8DAAF165B" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/44A9B8A5-C307-4695-9B01-3C5DEA62524D" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2019-03-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/08C677DF-2AB9-4EC1-A417-3DB6571E8D89" ns1:rel="FUND" ns1:start="2014-09-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">101917</ns2:identifier></ns2:identifiers><ns2:title>Solutions for sustainable lamb production and breeding for more taste and less waste to increase food security in the UK and beyond</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>BEIS-Funded Programmes</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>This project will measure new lamb carcass and meat quality (MQ) traits simultaneously, using non-inva-sive state-of-the-art technologies in live animals and in meat cuts, including computed tomography (CT) and Near Infrared spectroscopy, and use the data in a breeding programme, alongside carcass traits measured routinely in the abattoir, but not currently accessible on an individual lamb basis. Relation-ships between new CT- / NIR- and MQ traits will be investigated. A routine way to measure these traits efficiently on a large number of crossbred lambs will be developed, enabling contemporaneous selec-tion for higher taste/healthier meat/ lower waste using accurate crossbred estimated breeding values. The optimal way to incorporate these new traits into sheep breeding programmes will be investigated. British lamb has a 12-16% market share of red meat consumption. Improving eating quality and production efficiency of home-grown lamb will have a significant impact on the future of the industry.</ns2:abstractText></ns2:project>