Evidence map›Paper›PMID 40202191›Full record

ArticleJournal of animal science2025

Beef cattle phenotypic plasticity and stability of dry matter intake and respiration rate across varying levels of temperature humidity index.

William R Shaffer, Jorge Hidalgo, Nora M Bello, Rylie S Noland, Jennifer M Bormann, Robert L Weaber, Cashley M Ahlberg, Kelsey Bruno, Clint R Krehbiel, Michelle S Calvo-Lorenzo and 5 more

Abstract read
In one paragraph

Article in Journal of animal science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

15 authors.

William R ShafferDepartment of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA.ORCID 0009-0007-3071-6236
Jorge HidalgoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-0783-381X
Nora M BelloUnited States Department of Agriculture, Agricultural Research Service - Northeast Area, Beltsville, MD 20705, USA.
Rylie S NolandDepartment of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA.
Jennifer M BormannDepartment of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA.
Robert L WeaberDepartment of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA.ORCID 0000-0003-3461-4214
Cashley M AhlbergDepartment of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA.
Kelsey BrunoDepartment of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA.
Clint R KrehbielDavis College of Agricultural Sciences and Natural Resources, Texas Tech University, Lubbock, TX 79409, USA.
Michelle S Calvo-LorenzoFarm Animal Business, Elanco Animal Health, Greenfield, IN 46140, USA.
Chris J RichardsDepartment of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA.ORCID 0000-0002-9615-1289
Sara PlaceDepartment of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Udaya DeSilvaDepartment of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA.
Larry A KuehnUSDA, ARS, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE 68933, USA.ORCID 0000-0002-7573-5365
Megan M RolfDepartment of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA.ORCID 0000-0002-4774-2218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expected changes in climate warrant research on selection for a phenotypically stable cattle population that can perform consistently across diverse environmental conditions. In this study, we utilize a heteroscedastic random regression model to 1) characterize the additive genetic and other phenotypic components of dry matter intake (DMI) and respiration rate (RR) concerning the temperature humidity index (THI), 2) assess the presence of genotype-by-environment interactions (G × E) by determining whether the additive genetic reaction norm changes along the observed THI range and by evaluating the additive genetic correlations between DMI or RR at different THI values, and 3) evaluate model-derived accuracy of estimated breeding values (EBV) along a range of THI. Data consisted of repeated observations of DMI and RR on 788 and 569 steers, respectively, over a period of 70 d. A hierarchical model with subject-specific additive genetic and permanent environment effects was fitted to each trait using Bayesian inference. Estimated population slopes, expressed as posterior median and 95% highest posterior density (HPD) interval, were -0.046 (-0.053, -0.039) kg DMI per unit increase in THI per day and 0.027 (0.026, 0.029) breaths per 30s (BP30S) RR for each unit increase in THI on the logarithmic scale, thereby suggesting environmental sensitivity for both traits. Estimated correlations between the additive genetic intercept and slope were -0.78 (-0.86, -0.69) and -0.66 (-1.0, -0.20) for DMI and RR, respectively, indicating that selection for increased DMI and decreased RR at the onset of heat stress can be expected to associate positively with mean population environmental sensitivity to THI. Heritability estimates for DMI at the onset of heat stress (i.e., THI of 70) ranged from 0.30 (0.17, 0.44) to 0.37 (0.20, 0.48) across cohorts but decreased as THI increased. Heritability estimates for RR were low, with 95% HPD upper boundaries ranging from 0.03 to 0.08 across the range of THI evaluated. For DMI, the median additive genetic correlation between 70 and 85 THI and the Spearman correlations between EBV at 70 and 85 THI levels were 0.42 (0.26, 0.57) and 0.39 (0.26, 0.52), respectively, indicating substantial G × E. The median DMI EBV model-derived accuracy at a specific THI value increased from 70 THI to 0.65 at 82 THI, at which point it stabilized. This was likely because more data points were gathered at greater THI.

Indexed as

EatingHumidityRespiratory RateAnimalsCattleMalePhenotypeTemperatureenvironmental sensitivityGenotype-by-environment interactionheat stressheritabilitylocal adaptationrandom regression

Identifiers

PMID40202191
PMCPMC12132799

What OpenQuestion holds

Textmetadata
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.