Evidence map›Paper›PMID 42651959›Full record

ArticleAnimals : an open access journal from MDPI2026

Feed Efficiency Classification in Confined Texel Ewe Lambs: Relationships with Ruminal Fermentation, Nitrogen Metabolism, and Greenhouse Gas Emissions.

Charleni Crisóstomo Abdalla, Adibe Luiz Abdalla Filho, Rui José Branquinho de Bessa, Ricardo Lopes Dias da Costa, Letícia de Sousa Corrêa, Josiel Ferreira, Nathalya Sanchez, Vinicius Souza Pestana, Vagner Ovani, Adibe Luiz Abdalla and 1 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

11 authors.

Charleni Crisóstomo AbdallaAnimal Nutrition Laboratory, Centre for Nuclear Energy in Agriculture, University of São Paulo, Av. Centenário 303, Piracicaba 13416-000, São Paulo, Brazil.ORCID 0000-0002-7267-5272
Adibe Luiz Abdalla FilhoCentro de Investigação Interdisciplinar em Sanidade Animal (CIISA), Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. Universidade Técnica, 1300-477 Lisboa, Portugal.ORCID 0000-0001-5968-5380
Rui José Branquinho de BessaCentro de Investigação Interdisciplinar em Sanidade Animal (CIISA), Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. Universidade Técnica, 1300-477 Lisboa, Portugal.ORCID 0000-0003-4109-3488
Ricardo Lopes Dias da CostaCentro de Pesquisa e Desenvolvimento de Zootecnia Diversificada, Instituto de Zootecnia, Rua Heitor Penteado, 56, Nova Odessa 13380-011, São Paulo, Brazil.ORCID 0000-0001-8888-6915
Letícia de Sousa CorrêaCentro de Pesquisa e Desenvolvimento de Zootecnia Diversificada, Instituto de Zootecnia, Rua Heitor Penteado, 56, Nova Odessa 13380-011, São Paulo, Brazil.
Josiel FerreiraInstituto Federal Goiano (IF Goiano), Rua Sul Goiânia, 1371, Rio Verde 75906-750, Goiás, Brazil.
Nathalya SanchezAnimal Nutrition Laboratory, Centre for Nuclear Energy in Agriculture, University of São Paulo, Av. Centenário 303, Piracicaba 13416-000, São Paulo, Brazil.
Vinicius Souza PestanaAnimal Nutrition Laboratory, Centre for Nuclear Energy in Agriculture, University of São Paulo, Av. Centenário 303, Piracicaba 13416-000, São Paulo, Brazil.
Vagner OvaniAnimal Nutrition Laboratory, Centre for Nuclear Energy in Agriculture, University of São Paulo, Av. Centenário 303, Piracicaba 13416-000, São Paulo, Brazil.ORCID 0000-0003-2179-5861
Adibe Luiz AbdallaAnimal Nutrition Laboratory, Centre for Nuclear Energy in Agriculture, University of São Paulo, Av. Centenário 303, Piracicaba 13416-000, São Paulo, Brazil.ORCID 0000-0002-5440-9974
Helder LouvandiniAnimal Nutrition Laboratory, Centre for Nuclear Energy in Agriculture, University of São Paulo, Av. Centenário 303, Piracicaba 13416-000, São Paulo, Brazil.

Funding

Center for Carbon Research in Tropical Agriculture (CCARBON) 2021/10573-4Climate, Food and Farming - Global Research Alliance Development Scholarships (CLIFF-GRADS)Conselho Nacional de Desenvolvimento Científico e Tecnológico 302089/2022-5Fundação Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Finance Code 001National Council for Scientific and Technological Development 304023/2022-1National Council for Scientific and Technological Development 306116/2023-5
6 · The paper itself

Abstract

Feed efficiency classification based on residual feed intake (RFI) and residual intake and gain (RIG) is widely used to identify biologically efficient animals, yet it remains unclear whether this classification reflects consistent differences in digestive, fermentative, and metabolic processes. This study evaluated the effects of RFI and RIG classification on nutrient intake, apparent digestibility, ruminal fermentation, nitrogen metabolism, microbial protein synthesis, and gaseous emissions in confined lambs. Thirty-eight weaned Texel ewe lambs underwent a 60-day performance test using an automated feed intake system and were classified as high-efficiency, neutral, or low-efficiency based on both indices. Animals were individually housed in respirometric chambers where emissions of methane, carbon dioxide, nitrous oxide, and ammonia were assessed by cavity ring-down spectroscopy; apparent digestibility was determined from total collections of feed, orts, faeces, and urine; microbial protein synthesis was estimated from urinary purine derivatives; and ruminal short-chain fatty acid profiles were determined by gas chromatography. Feed efficiency classification did not significantly affect body weight, nutrient intake, apparent digestibility, ruminal fermentation parameters, nitrogen balance, microbial protein synthesis, or greenhouse gas emissions. Principal component analysis revealed two major biological gradients related to nutrient intake and utilisation (42.9%) and ruminal fermentation and gaseous emissions (23.3%), together explaining 66.2% of total variance, but showing no clear separation among efficiency groups. These findings indicate that the digestive, fermentative, and nitrogen metabolism variables evaluated in this study did not account for the observed variation in feed efficiency. Because the regression underlying RIG explained little additional variation (R

Indexed as

CH4microbial protein synthesisresidual feed intakesustainability

Identifiers

PMID42651959
PMCPMC13508892

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.