Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Using single-step genomic best linear unbiased predictor to enhance the mitigation of seasonal losses due to heat stress in pigs.

Journal of animal science - 1 Dec 2016

Fragomeni B O, Lourenco D A L, Tsuruta S, Bradford H L, Gray K A, Huang Y, Misztal I

Abstract excerpt

The purposes of this study were to analyze the impact of seasonal losses due to heat stress in pigs from different breeds raised in different environments and to evaluate the accuracy improvement from adding genomic information to genetic evaluations. Data were available for 2 different swine populations: purebred Duroc animals raised in Texas and North Carolina and commercial crosses of Duroc and F females...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Heat-Shock Response
Share to Hot Temperature

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Humidity

Share to Linear Models

Share to Missouri

Share to North Carolina

Share to Seasons

Source

Identifiers

PMID: 28046178
DOI: 10.2527/jas.2016-0820

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Using single-step genomic best linear unbiased predictor to enhance the mitigation of seasonal losses due to heat stress in pigs.PMID 28046178Read ↗

Genomic predictions and GWAS for heat tolerance in pigs based on reaction norm models with performance records and data from public weather stations considering alternative temperature thresholds.Semantic proximity Read ↗

Genomic prediction of growth traits for pigs in the presence of genotype by environment interactions using single-step genomic reaction norm model.Semantic proximity Read ↗

Modeling response to heat stress in pigs from nucleus and commercial farms in different locations in the United States.Semantic proximity Read ↗

Comparison of iterated single-step and Bayesian regressions on genomic evaluations for age at 100 kg in swine.Semantic proximity Read ↗

Investigating pig survival in different production phases using genomic models.Semantic proximity Read ↗

Multi-trait genomic prediction in pigs using single and multistep methods based on the absorption of ungenotyped animals.Semantic proximity Read ↗

Genetic components of heat stress in finishing pigs: Parameter estimation.Semantic proximity Read ↗

Single-Step Genomic Evaluation for Meat Quality Traits, Sensory Characteristics, and Fatty-Acid Composition in Duroc Pigs.Semantic proximity Read ↗

Optimal definition of contemporary groups for crossbred pigs in a joint purebred and crossbred genetic evaluation.Semantic proximity Read ↗

Genome-wide association of changes in swine feeding behaviour due to heat stress.Semantic proximity Read ↗

Deregressed EBV as the response variable yield more reliable genomic predictions than traditional EBV in pure-bred pigs.Semantic proximity Read ↗

Improving genetic evaluation of litter size and piglet mortality for both genotyped and nongenotyped individuals using a single-step method.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.