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Record W4410612530 · doi:10.1080/00207233.2025.2507444

Fertility of indigenous “Atlas Brown” Algerian cattle under different heat stress levels

2025· article· en· W4410612530 on OpenAlex
Aziza Ferag, Djalel Eddine Gherissi, Tarek Khenenou, Amel Boughanem, Hafida Hadj Moussa, Amina Maamour, Christian Hanzen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Environmental Studies · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEffects of Environmental Stressors on Livestock
Canadian institutionsArtificial Insemination Center of Quebec
Fundersnot available
KeywordsHeat stressIndigenousAtlas (anatomy)FertilityGeographyFisheryEnvironmental scienceBiologyAnimal scienceEcologyDemographyPopulation

Abstract

fetched live from OpenAlex

This study investigates the impact of heat stress, measured by daily temperature-humidity index (THI), on the reproductive performance of native Algerian cows. We analysed fertility metrics from 3,847 artificial inseminations performed on 2,130 Atlas Brown cows. Results showed a total pregnancy rate (TPR) of 58.97%, a first-service conception rate (CR1stAI) of 24.41%, and a second-service conception rate (CR2ndAI) of 36.71%. Severe THI levels (>80) significantly decreased TPR by 26% and CR1stAI by 46%, but low and moderate THI had no significant impact. Heat stress did not significantly affect CR2ndAI and repeat breeding cows (RBC), though moderate and severe heat stress decreased CR2ndAI, and severe heat stress increased RBC. Moderate heat stress reduced the proportion of cattle with <30 days reproductive period. The study shows that Atlas Brown cattle are susceptible to high THI levels and perform well under low and moderate heat stress, suggesting the potential utility of indigenous breeds in high-THI regions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.265
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it