Evidence map›Paper›PMID 42283941›Full record

ArticleTropical animal health and production2026

Modeling the lactation curve in a herd of registered Jerseys in the dry tropics of Mexico.

Luis Fernando Molina Paniagua, René Pinto Ruiz, Manuel Alejandro La O Arias, Francisco Guevara Hernández, Roberto Berrones Hernández, Deb Raj Aryal

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Article in Tropical animal health and production, 2026. 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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0cells of the map it votes in
0citing papers 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Luis Fernando Molina PaniaguaDoctorado en Ciencias Agropecuarias y Sustentabilidad, Universidad Autónoma de Chiapas, 2ª Norte Oriente No. 640, Tuxtla Gutiérrez, Villaflores, Chiapas, 29000, México. fernando.molina@unach.mx.ORCID http://orcid.org/0009-0002-7450-6568
René Pinto RuizFacultad de Ciencias Agronómicas, Universidad Autónoma de Chiapas, Villaflores, Chiapas, 30470, México.ORCID http://orcid.org/0000-0003-1962-6874
Manuel Alejandro La O AriasFacultad de Ciencias Agronómicas, Universidad Autónoma de Chiapas, Villaflores, Chiapas, 30470, México.ORCID http://orcid.org/0000-0002-6491-2063
Francisco Guevara HernándezFacultad de Ciencias Agronómicas, Universidad Autónoma de Chiapas, Villaflores, Chiapas, 30470, México.ORCID http://orcid.org/0000-0002-1444-6324
Roberto Berrones HernándezUniversidad Politécnica de Chiapas, Suchiapa, Chiapas, 29150, México.ORCID http://orcid.org/0000-0003-4394-4311
Deb Raj AryalEl Colegio de la Frontera Sur, Unidad Campeche, Campeche, 24500, México.ORCID http://orcid.org/0000-0003-4188-3084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The production performance of livestock depends strongly on the environment and management conditions, especially the capability of exotic breeds in different climatic regions. There are concerns about adaptation issues and decreased productivity of dairy breeds when raised in a distinct climate. Therefore, this research aimed to understand the productive performance of Jerseys raised with local resources under the dry tropical conditions in southern Mexico and develop model parameters for milk production throughout the lactation period. To this end, in a registered Jersey herd in Chiapas, México, over a two-year period with 42 cows and 2227 weekly records, the lactation curve for milk, fat, and protein was modeled and characterized using nonlinear mathematical models. The Brody, modified Brody, Sikka, Wood, Wilmink, and Nelder mathematical models were employed. The adjusted multiple coefficient of determination (R²

Indexed as

LactationMilkAnimalsCattleDairyingFemaleMexicoMilk ProteinsModels, BiologicalModels, TheoreticalTropical ClimateMilk ProteinsDry tropicsJersey cattleLactation curveMilk compositionModeling

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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.