Evidence map›Paper›PMID 41514749›Full record

ArticleAnimals : an open access journal from MDPI2025

Evaluating High Ambient Temperature Effects on Milk Production in Local Tunisian Goats: Toward Resilient Breeding Strategies for Arid Environments.

Ahlem Atoui, Sghaier Najari, Manuel Ramón, Clara Díaz, Mouldi Abdennebi, Maria-Jesús Carabaño

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ahlem AtouiLaboratory of Livestock and Wildlife, Institute of Arid Regions, Medenine 4100, Tunisia.
Sghaier NajariLaboratory of Livestock and Wildlife, Institute of Arid Regions, Medenine 4100, Tunisia.
Manuel RamónNational Institute for Agricultural and Food Research and Technology, Departamento de Mejora Genética Animal, Ctra de la Coruña km 7.5, 28040 Madrid, Spain.ORCID 0000-0003-4179-9894
Clara DíazNational Institute for Agricultural and Food Research and Technology, Departamento de Mejora Genética Animal, Ctra de la Coruña km 7.5, 28040 Madrid, Spain.
Mouldi AbdennebiLaboratory of Livestock and Wildlife, Institute of Arid Regions, Medenine 4100, Tunisia.
Maria-Jesús CarabañoNational Institute for Agricultural and Food Research and Technology, Departamento de Mejora Genética Animal, Ctra de la Coruña km 7.5, 28040 Madrid, Spain.ORCID 0000-0002-3087-9170

Funding

Institut des Régions Arides 75 633 005.
6 · The paper itself

Abstract

This study evaluates the impact of high ambient temperature (HT) on milk production in Tunisian local goats using both fixed and random regression models with quadratic and cubic Legendre polynomials. Daily minimum (Tmin), maximum (Tmax), and average (Tavg) temperatures were tested as heat load indicators, measured on the milking day and averaged over the 1-3 preceding days. The deviance information criterion (DIC) consistently showed that models including temperature effects provided a better fit than a baseline model without heat load. Cubic polynomials showed superior accuracy compared with quadratic models, even if the differences were relatively small. The best model was obtained with Tavg on the milking day, followed closely by Tmax averaged across one or two preceding days. The population response showed a thermoneutral plateau at lower temperatures, followed by declines beyond the HT thresholds. For Tmax, moderate and severe thresholds were detected at 20-23 °C and 25-27 °C, respectively, while for Tavg, thresholds occurred at 11-13 °C and 16-19 °C. Milk losses ranged from 22 to 85 g/°C depending on the temperature indicator, representing an average 4-5% decline in daily yield per degree above thermoneutrality. High variability in individual responses was observed. Some goats maintained stable production, while others showed steep declines under HT, with slope differences reaching over 150 g/°C. Correlations of milk yield across contrasting thermal environments were low, indicating that animal ranking changes with temperature. High-producing goats are more affected by heat, showing the need for a balance between production and heat tolerance.

Indexed as

heat toleranceHTlocal goatmilk production

Identifiers

PMID41514749
PMCPMC12784815

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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.