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      The impact of genetic merit on ewe performance and efficiency parameters

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          Abstract

          The aim of this study was to investigate the impact of ewe genetic merit on ewe performance and efficiency parameters. The study consisted of three genetic merit groups (New Zealand [ NZ], High Irish, and Low Irish) and ran from 2016 to 2019, inclusive. Each genetic merit group contained 30 purebred Suffolk and 30 purebred Texel ewes, which were selected based on their maternal genetic indexes in their country of origin, namely Ireland (€uro-star Replacement index) or New Zealand (New Zealand Maternal worth). Ewe body condition score ( BCS), ewe body weight ( BW), milk yield, milk composition, dry matter intake ( DMI), and efficiency parameters were all analyzed using linear mixed models. Ewe BW was similar across all genetic merit groups at each time point ( P > 0.05). In comparison to both High and Low Irish ewes, NZ ewes had a higher BCS at mating, mid-pregnancy, lambing, week 10 post-lambing ( PL, P < 0.05). Ewe BW change was similar across genetic merit groups, except between mating and mid-pregnancy where ewe BW loss was greater for NZ ewes than Irish ewes ( P < 0.05) and between weeks 6 PL and 10 PL, where NZ ewes gained BW and High and Low Irish ewes lost BW ( P < 0.01). Ewe milk yield, milk fat, total solids, and gross energy content were superior for milk produced by NZ ewes at week 6 PL in comparison to milk produced by High Irish and Low Irish ewes ( P < 0.01). NZ ewes produced a greater quantity of milk solids/kg of BW at week 6 PL compared with High Irish ewes ( P < 0.01), whereas Low Irish ewes did not differ from either NZ or High Irish ( P > 0.05). Low Irish ewes had a greater daily DMI than High Irish ewes in late lactation (week 10 PL, P < 0.05) and had a greater DMI/kg of ewe BW compared with the High Irish ewes at the same time point ( P < 0.05). NZ ewes weaned a litter BW equivalent to 60.4% of their mating BW, which was more than the Low Irish ewes who weaned 57.1% of the ewe’s BW at mating ( P < 0.01), whereas the High Irish ewes did not differ from either the NZ or Low Irish ewes at 59.3% of the ewe’s BW at mating ( P > 0.05). This study presents a range of parameters across ewes of high and low genetic merit, demonstrating the ability to achieve gains through selection of animals of high genetic merit. Sheep producers should consider genetic indexes as a tool to assist in the decision-making process of selecting replacement ewes and/or breeding rams, once satisfied the animal is correct, and meeting the breeding objectives of the system.

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          Subjective assessment of body fat in live sheep

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            Cell Biology Symposium: genetics of feed efficiency in dairy and beef cattle.

            Increasing food production for the growing human population off a constraining land base will require greater efficiency of production. Genetic improvement of feed efficiency in cattle, which is cumulative and permanent, is one likely vehicle to achieving efficiency gains. The objective of this review is to summarize genetic parameters for feed efficiency traits in dairy and beef cattle and also to address some of the misconceptions associated with feed efficiency in these sectors, as well as discuss the potential use of feed efficiency in breeding programs. A meta-analysis of up to 39 scientific publications in growing cattle clearly showed that genetic variation in feed efficiency exists with a pooled heritability for residual feed intake (RFI) and feed conversion efficiency of 0.33 ± 0.01 (range of 0.07 to 0.62) and 0.23 ± 0.01 (range of 0.06 to 0.46), respectively. Heritability estimates for feed efficiency in cows were lower; a meta-analysis of up to 11 estimates revealed heritability estimates for gross feed efficiency and RFI of 0.06 ± 0.010 and 0.04 ± 0.008, respectively. Meta-analysis of genetic correlations between feed intake, feed efficiency and other performance traits are presented, and selection index theory is used to calculate the proportion of genetic variation in feed intake that can be explained by easy to measure, and often already collected, data. A large proportion of the genetic variation in feed intake could be explained in both growing animals and lactating animals using up to 5 predictor traits, including BW, growth rate, milk yield, body composition, and linear type traits reflecting body size and muscularity. Knowledge of genetic merit for feed intake can be used, along with estimates of genetic merit for energy sinks, to calculate genetic merit for feed efficiency. Therefore, the marginal benefit of collecting actual feed intake data, using the genetic parameters used in this study, appears to be low. There is now sufficient information available to develop a road map on how best to direct research to ensure long-term food security for a growing human population. Gaps in knowledge are identified here, and possibilities to address these gaps are discussed.
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              Review of sheep body condition score in relation to production characteristics

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                Author and article information

                Journal
                J Anim Sci
                J Anim Sci
                jansci
                Journal of Animal Science
                Oxford University Press (US )
                0021-8812
                1525-3163
                December 2021
                21 October 2021
                21 October 2021
                : 99
                : 12
                : skab301
                Affiliations
                [1 ] Animal & Grassland Research and Innovation Centre, Teagasc , Mellows Campus, Athenry, Co. Galway, H65 R718, Ireland
                [2 ] School of Agricultural Science, University College Dublin , Belfield, Dublin 4, D04 V1W8, Ireland
                [3 ] Animal & Grassland Research and Innovation Centre, Teagasc , Moorepark, Fermoy, Co. Cork, P61 C996, Ireland
                Author notes
                Author information
                https://orcid.org/0000-0001-5892-575X
                https://orcid.org/0000-0002-3105-8796
                https://orcid.org/0000-0002-7433-130X
                https://orcid.org/0000-0001-6106-4436
                https://orcid.org/0000-0003-4471-5078
                Article
                skab301
                10.1093/jas/skab301
                8653943
                34673961
                dfee6ce7-3210-48f9-b744-445008d2b1ab
                © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 August 2021
                : 19 October 2021
                : 08 December 2021
                Page count
                Pages: 10
                Categories
                Forage Based Livestock Systems
                AcademicSubjects/SCI00960

                body condition score,body weight,efficiency,feed intake,milk

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