Evidence map›Paper›PMID 31718555›Full record

ArticleBMC genetics2019

Genetic analysis of novel phenotypes for farm animal resilience to weather variability.

Enrique Sánchez-Molano, Vanessa V Kapsona, Joanna J Ilska, Suzanne Desire, Joanne Conington, Sebastian Mucha, Georgios Banos

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Genetic Relationships Among Resilience, Fertility and Milk Production Traits in Crossbred Dairy Cows Performing in Sub-Saharan Africa.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Why breed disease-resilient livestock, and how?Genetics, selection, evolution : GSE · 2020
    Review
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Enrique Sánchez-MolanoThe Roslin Institute and R (D) SVS, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK. Enrique.Sanchez-Molano@roslin.ed.ac.uk.ORCID 0000-0003-2734-8560
Vanessa V KapsonaScotland's Rural College, The Roslin Institute Building, Easter Bush, Edinburgh, EH25 9RG, UK.
Joanna J IlskaThe Roslin Institute and R (D) SVS, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK.
Suzanne DesireThe Roslin Institute and R (D) SVS, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK.
Joanne ConingtonScotland's Rural College, The Roslin Institute Building, Easter Bush, Edinburgh, EH25 9RG, UK.
Sebastian MuchaScotland's Rural College, The Roslin Institute Building, Easter Bush, Edinburgh, EH25 9RG, UK.
Georgios BanosScotland's Rural College, The Roslin Institute Building, Easter Bush, Edinburgh, EH25 9RG, UK.
Roslin Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M027570/1Biotechnology and Biological Sciences Research Council BB/M02833X/1Biotechnology and Biological Sciences Research Council BBS/E/D/30002275
6 · The paper itself

Abstract

backgroundClimate change is expected to have a negative impact on food availability. While most efforts have been directed to reducing greenhouse gas emissions, complementary strategies are necessary to control the detrimental effects of climate change on farm animal performance. The objective of this study was to develop novel animal resilience phenotypes using reaction norm slopes, and examine their genetic and genomic parameters. A closely monitored dairy goat population was used for this purpose.

resultsIndividual animals differed in their response to changing atmospheric temperature and a temperature-humidity index. Significant genetic variance and heritability estimates were derived for these animal resilience phenotypes. Furthermore, some resilience traits had a significant unfavourable genetic correlation with animal performance. Genome-wide association analyses identified several candidate genes related to animal resilience to environment change.

conclusionsHeritable variation exists among dairy goats in their production response to fluctuating weather variables. Results may inform future breeding programmes aimed to ensure efficient animal performance under changing climatic conditions.

Indexed as

Quantitative Trait LociAnimalsAnimals, DomesticBreedingChromosome MappingDairyingGenetic VariationGenome-Wide Association StudyLinkage DisequilibriumPhenotypeWeatherAnimal resilienceCandidate genesClimate changeHeritabilitySelective breeding

Identifiers

PMID31718555
PMCPMC6849266
OpenAlexW2989116754

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.