ArticleBMC genetics2020
Breeding strategies for animal resilience to weather variation in meat sheep.
Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Climate change adaptation and mitigation in different livestock production systems and agro-ecological zones in South Africa: A systematic review.Tropical animal health and production · 2025Pooled it
- Genetics of growth resilience- and uniformity-related indicators derived from sparse body weight data in Angus-Brangus cattle under (sub)tropical conditions.Genetics, selection, evolution : GSE · 2026Article
- Impact of Body Reserves Dynamic on Productivity and Reproductive Performance in Fat-Tail and Thin-Tail Sheep Breeds over Contrasting Production Cycles.Animals : an open access journal from MDPI · 2024Article
- Editorial: Environmental and genomic strategies for conservation and selection in small ruminants.Frontiers in veterinary science · 2024Article
- A genome-wide association study reveals novel SNP markers associated with resilience traits in two Mediterranean dairy sheep breeds.Frontiers in genetics · 2023Article
- Genes and models for estimating genetic parameters for heat tolerance in dairy cattle.Frontiers in genetics · 2023Review
- Exploring the value of genomic predictions to simultaneously improve production potential and resilience of farmed animals.Frontiers in genetics · 2023Article
- A comprehensive genome-wide scan detects genomic regions related to local adaptation and climate resilience in Mediterranean domestic sheep.Genetics, selection, evolution : GSE · 2021Article
- Climate-Resilient Dairy Cattle Production: Applications of Genomic Tools and Statistical Models.Frontiers in veterinary science · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe alteration in weather patterns expected due to climate change will affect farm animal performance, probably resulting in lower quantity and quality of available products. A potential mitigation strategy would be to breed selected animals for enhanced resilience to climate change. In this context, resilience would reflect stable animal performance in spite of weather variation. The objectives of this study were to (i) derive and characterise novel animal resilience phenotypes, (ii) investigate their genetic profiles and (iii) assess the impact of integrating them in breeding strategies for genetic improvement in meat sheep.
resultsRandom regression models were used to jointly analyse live body weight measured in different time points throughout the growth phases of 4469 Scottish Blackface sheep and weather variables during the same period to derive novel resilience phenotypes. The genetic analysis of these phenotypes revealed significant genetic variance and heritability, and an antagonistic genetic correlation with some animal performance traits. Simulated breeding strategies demonstrated that a relative emphasis of 10% on resilience compared to other traits would enhance performance stability against weather volatility without compromising animal growth.
conclusionsNovel resilience traits exhibited sufficient genetic variation to be amenable to genetic improvement with selective breeding and are recommended to be included in future breeding goals.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.