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      Using a lamb's early-life liveweight as a predictor of carcass quality

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          Abstract

          The commercial value of lamb carcasses is primarily determined by their weight and quality, with the latter commonly quantified according to muscle coverage and fat depth. The ability to predict these quality scores early in the season could be of substantial value to sheep producers, as this would enable tailored flock management strategies for different groups of animals. Existing methods of carcass quality prediction, however, require either expensive equipment or information immediately before slaughter, leaving them unsuitable as a decision support tool for small to medium-scale enterprises. Using seven-year high-resolution data from the North Wyke Farm Platform, a system-scale grazing trial in Devon, UK, this paper investigates the feasibility of using a lamb's early-life liveweight to predict the carcass quality realised when the animal reaches the target weight. The results of multinomial regression models showed that lambs which were heavier at weaning, at 13 weeks of age, were significantly more likely to have leaner and more muscular carcasses. An economic analysis confirmed that these animals produced significantly more valuable carcasses at slaughter, even after accounting for seasonal variation in lamb price that often favours early finishers. As the majority of heavier-weaned lambs leave the flock before lighter-weaned lambs, an increase in the average weaning weight could also lead to greater pasture availability for ewes in the latter stage of the current season, and thus an enhanced ewe condition and fertility for the next season. All information combined, therefore, a stronger focus on ewes' nutrition before and during lactation was identified as a key to increase system-wide profitability.

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          Subjective assessment of body fat in live sheep

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            Review of sheep body condition score in relation to production characteristics

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              Distributions of emissions intensity for individual beef cattle reared on pasture-based production systems

              Life Cycle Assessment (LCA) of livestock production systems is often based on inventory data for farms typical of a study region. As information on individual animals is often unavailable, livestock data may already be aggregated at the time of inventory analysis, both across individual animals and across seasons. Even though various computational tools exist to consider the effect of genetic and seasonal variabilities in livestock-originated emissions intensity, the degree to which these methods can address the bias suffered by representative animal approaches is not well-understood. Using detailed on-farm data collected on the North Wyke Farm Platform (NWFP) in Devon, UK, this paper proposes a novel approach of life cycle impact assessment that complements the existing LCA methodology. Field data, such as forage quality and animal performance, were measured at high spatial and temporal resolutions and directly transferred into LCA processes. This approach has enabled derivation of emissions intensity for each individual animal and, by extension, its intra-farm distribution, providing a step towards reducing uncertainty related to agricultural production inherent in LCA studies for food. Depending on pasture management strategies, the total emissions intensity estimated by the proposed method was higher than the equivalent value recalculated using a representative animal approach by 0.9–1.7 kg CO2-eq/kg liveweight gain, or up to 10% of system-wide emissions. This finding suggests that emissions intensity values derived by the latter technique may be underestimated due to insufficient consideration given to poorly performing animals, whose emissions becomes exponentially greater as average daily gain decreases. Strategies to mitigate life-cycle environmental impacts of pasture-based beef productions systems are also discussed.
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                Author and article information

                Contributors
                Journal
                Animal
                Animal
                Animal
                Elsevier
                1751-7311
                1751-732X
                1 January 2021
                January 2021
                : 15
                : 1
                : None
                Affiliations
                [a ]Rothamsted Research, North Wyke , Okehampton , Devon , EX20 2SB, UK
                [b ]University of Bristol , Bristol Veterinary School , Langford , Somerset , BS40 5DU, UK
                Author notes
                [* ]Corresponding author at: Rothamsted Research, North Wyke, Okehampton, Devon EX20 2SB, UK taro.takahashi@ 123456rothamsted.ac.uk
                Article
                S1751-7311(20)30018-5 100018
                10.1016/j.animal.2020.100018
                8169456
                33487555
                e04c8d17-d7c9-43f4-b3d3-91cbd38623fb
                © 2020 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 2 March 2020
                : 20 July 2020
                : 28 July 2020
                Categories
                Article

                Animal science & Zoology
                conformation,fat class,ewe condition,farm management,sheep systems
                Animal science & Zoology
                conformation, fat class, ewe condition, farm management, sheep systems

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