Evidence map›Paper›PMID 39400727›Full record

ArticleTropical animal health and production2024

Optimizing sheep growth curves using a meta-heuristic algorithm.

Marco Antonio Campos Benvenga, Irenilza de Alencar Nääs, Nilsa Duarte da Silva Lima, Aylpy Renan Dutra Santos, Fernando Miranda de Vargas Junior

Abstract read
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In one paragraph

Article in Tropical animal health and production, 2024. 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

5 authors.

Marco Antonio Campos BenvengaGraduate Program in Production Engineering, Universidade Paulista, R. Dr. Bacelar 1212, São Paulo, 04026-002, Brazil.
Irenilza de Alencar NääsGraduate Program in Production Engineering, Universidade Paulista, R. Dr. Bacelar 1212, São Paulo, 04026-002, Brazil. irenilza.naas@docente.unip.br.ORCID http://orcid.org/0000-0003-0663-9377
Nilsa Duarte da Silva LimaAnimal Science, Universidade Federal de Roraima, BR 174, km 12, Monte Cristo, Boa Vista, 69300-000, Brazil.
Aylpy Renan Dutra SantosGraduate Program in Animal Science, Federal University of Grande Dourados, Rodovia Dourados-Ithaum km 12, Dourados, 79804-970, Brazil.
Fernando Miranda de Vargas JuniorGraduate Program in Animal Science, Federal University of Grande Dourados, Rodovia Dourados-Ithaum km 12, Dourados, 79804-970, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sheep were among the first animals domesticated by humans, and to this day, small ruminants are primarily raised for their meat, milk, and wool. This study evaluated the goodness of fit for growth curve models using observed age and weight data from crossbred lambs of various breeds based on the mean values between paired breeds. We employed a hybrid metaheuristic algorithm, combining a simulated annealing (SA) algorithm and a genetic algorithm (GA) called SAGAC, to determine the optimal parameter values for growth models, ensuring the best alignment between simulated and observed curves. The goodness of fit and model accuracy was assessed using the coefficient of determination (R

Indexed as

AlgorithmsAnimal HusbandryAnimalsBody WeightBreedingComputer SimulationFemaleMaleModels, BiologicalSheepSheep, DomesticGrowth curvesMetaheuristicOptimizationSAGAC algorithm

Identifiers

PMID39400727

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.