Evidence map›Paper›PMID 19688089›Full record

ArticlePloS one2009

A validated genome wide association study to breed cattle adapted to an environment altered by climate change.

Ben J Hayes, Phil J Bowman, Amanda J Chamberlain, Keith Savin, Curt P van Tassell, Tad S Sonstegard, Mike E Goddard

Abstract readValidation Study
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. The Genetics of Thermoregulation in Pigs: A Review.Frontiers in veterinary science · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. RNA-seq profiling of skin in temperate and tropical cattle.Journal of animal science and technology · 2020
    Article
  16. Review
  17. Genetic Selection for Thermotolerance in Ruminants.Animals : an open access journal from MDPI · 2019
    Review
  18. Article
  19. Article
  20. 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.

Ben J HayesBiosciences Research Division, Department of Primary Industries Victoria, Melbourne, Victoria, Australia. ben.hayes@dpi.vic.gov.au
Phil J Bowman
Amanda J Chamberlain
Keith Savin
Curt P van Tassell
Tad S Sonstegard
Mike E Goddard

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continued production of food in areas predicted to be most affected by climate change, such as dairy farming regions of Australia, will be a major challenge in coming decades. Along with rising temperatures and water shortages, scarcity of inputs such as high energy feeds is predicted. With the motivation of selecting cattle adapted to these changing environments, we conducted a genome wide association study to detect DNA markers (single nucleotide polymorphisms) associated with the sensitivity of milk production to environmental conditions. To do this we combined historical milk production and weather records with dense marker genotypes on dairy sires with many daughters milking across a wide range of production environments in Australia. Markers associated with sensitivity of milk production to feeding level and sensitivity of milk production to temperature humidity index on chromosome nine and twenty nine respectively were validated in two independent populations, one a different breed of cattle. As the extent of linkage disequilibrium across cattle breeds is limited, the underlying causative mutations have been mapped to a small genomic interval containing two promising candidate genes. The validated marker panels we have reported here will aid selection for high milk production under anticipated climate change scenarios, for example selection of sires whose daughters will be most productive at low levels of feeding.

Indexed as

BreedingClimate ChangeAnimalsAustraliaCattleGenome-Wide Association Study

Identifiers

PMID19688089
PMCPMC2722733

What OpenQuestion holds

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Registered trials

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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.