Evidence map›Paper›PMID 42736192›Full record

ArticlePoultry science2026

Nutrient digestibility, nitrogen balance, and energy partitioning in laying hens subjected to different molt induction programs.

Aureliano Juárez, Gerardo Ordaz, Adrián Hernández, Ericka Ramírez, Ernestina Gutiérrez, Carlos A Villalba, Daniel Val, Ruy Ortiz

Abstract read
In one paragraph

Article in Poultry science, 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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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

8 authors.

Aureliano JuárezInstituto de Investigaciones Agropecuarias y Forestales, Universidad Michoacana de San Nicolás de Hidalgo (UMSNH), Michoacán, México.
Gerardo OrdazCentro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, INIFAP, Querétaro, México. Electronic address: ordaz.gerardo@inifap.gob.mx.
Adrián HernándezFacultad de Químico farmacobiología, UMSNH, Michoacán, México.
Ericka RamírezCentro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, INIFAP, Querétaro, México.
Ernestina GutiérrezInstituto de Investigaciones Agropecuarias y Forestales, Universidad Michoacana de San Nicolás de Hidalgo (UMSNH), Michoacán, México.
Carlos A VillalbaInstituto de Investigaciones Agropecuarias y Forestales, Universidad Michoacana de San Nicolás de Hidalgo (UMSNH), Michoacán, México.
Daniel ValInstituto de Investigaciones Agropecuarias y Forestales, Universidad Michoacana de San Nicolás de Hidalgo (UMSNH), Michoacán, México.
Ruy OrtizFacultad de Medicina Veterinaria y Zootecnia, UMSNH, Michoacán, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Induced molting is a widely used strategy to extend the productive lifespan of laying hens; however, limited information is available regarding the effects of different molting programs on nutrient utilization and energy metabolism. The objective of this study was to compare nutrient digestibility, nitrogen balance, and energy partitioning among nutritionally distinct molt induction programs (MIP), which differed in ingredient composition and metabolizable energy availability, during molt induction and early post-molt recovery. A total of 75 Rhode Island Red laying hens were assigned to 1 of 5 MIP: fasting, restricted commercial feed (CF), wheat bran (WB), alfalfa, and sorghum. MIP significantly affected body weight loss, nutrient digestibility, and energy utilization (P < 0.05). Metabolic body weight loss (BW

Indexed as

Apparent metabolizable energyEnergy restrictionLaying henMetabolic adaptationPost-molt recovery

Identifiers

PMID42736192
PMCPMC13594835

What OpenQuestion holds

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Registered trials

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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.