Evidence map›Paper›PMID 36923799›Full record

ReviewFrontiers in genetics2023

Genes and models for estimating genetic parameters for heat tolerance in dairy cattle.

Vincent Habimana, Chinyere Charlotte Ekine-Dzivenu, Athumani Shabani Nguluma, Zabron Cuthibert Nziku, Gota Morota, Sebastian Wilson Chenyambuga, Raphael Mrode

Open access · goldFull text readReview
In one paragraph

Review in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Genomic insights into the recent evolution and biodiversity of Italian sheep breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
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  9. Article
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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 4 institutions in 3 countries.

Vincent HabimanaDepartment of Animal, Aquaculture and Range Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.
Chinyere Charlotte Ekine-DzivenuInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Athumani Shabani NgulumaDepartment of Animal, Aquaculture and Range Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.
Zabron Cuthibert NzikuTanzania Livestock Research Institute (TALIRI), Eastern Zone, Tanga, Tanzania.
Gota MorotaSchool of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States.
Sebastian Wilson ChenyambugaDepartment of Animal, Aquaculture and Range Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.
Raphael MrodeInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Sokoine University of Agriculture · TZInternational Livestock Research Institute · KETanzania Wildlife Research Institute · TZVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dairy cattle are highly susceptible to heat stress. Heat stress causes a decline in milk yield, reduced dry matter intake, reduced fertility rates, and alteration of physiological traits (e.g., respiration rate, rectal temperature, heart rates, pulse rates, panting score, sweating rates, and drooling score) and other biomarkers (oxidative heat stress biomarkers and stress response genes). Considering the significant effect of global warming on dairy cattle farming, coupled with the aim to reduce income losses of dairy cattle farmers and improve production under hot environment, there is a need to develop heat tolerant dairy cattle that can grow, reproduce and produce milk reasonably under the changing global climate and increasing temperature. The identification of heat tolerant dairy cattle is an alternative strategy for breeding thermotolerant dairy cattle for changing climatic conditions. This review synthesizes information pertaining to quantitative genetic models that have been applied to estimate genetic parameters for heat tolerance and relationship between measures of heat tolerance and production and reproductive performance traits in dairy cattle. Moreover, the review identified the genes that have been shown to influence heat tolerance in dairy cattle and evaluated the possibility of using them in genomic selection programmes. Combining genomics information with environmental, physiological, and production parameters information is a crucial strategy to understand the mechanisms of heat tolerance while breeding heat tolerant dairy cattle adapted to future climatic conditions. Thus, selection for thermotolerant dairy cattle is feasible.

Indexed as

genetic modelsheat tolerancemilk production traitsphysiological markerstemperature-humidity index

Identifiers

PMID36923799
PMCPMC10009153
OpenAlexW4322502998

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read82
measurements read38
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.