Evidence map›Paper›PMID 31752222›Full record

ArticleAnimals : an open access journal from MDPI2019

Decision Trees for Predicting the Physiological Responses of Rabbits.

Patrícia Ferreira Ponciano Ferraz, Yamid Hernández Fábian Julio, Gabriel Araújo E Silva Ferraz, Raquel Silva de Moura, Giuseppe Rossi, Jairo Alexander Osorio Saraz, Matteo Barbari

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

7 authors.

Patrícia Ferreira Ponciano FerrazFederal University of Lavras (UFLA), Department of Agricultural Engineering, Lavras, Minas Gerais 37200-900, Brazil.
Yamid Hernández Fábian JulioFaculty of Economics, Administrative and Accounting Sciences, Universidad del Sinú Elías Bechara Zainúm, Montería, Córdoba 230001, Colombia.
Gabriel Araújo E Silva FerrazFederal University of Lavras (UFLA), Department of Agricultural Engineering, Lavras, Minas Gerais 37200-900, Brazil.
Raquel Silva de MouraFederal University of Lavras (UFLA), Department of Animal Science, Lavras, Minas Gerais 37200-900, Brazil.
Giuseppe RossiUniversity of Firenze, Department of Agriculture, Food, Environment and Forestry, Firenze 50145, Italy.
Jairo Alexander Osorio SarazUniversidad Nacional de Colombia, Sede Medellin, Facultad de Ciencias Agrarias, Departamento de Ingeniería Agrícola Alimentos, Medellín 050004, Colombia.
Matteo BarbariUniversity of Firenze, Department of Agriculture, Food, Environment and Forestry, Firenze 50145, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The thermal environment inside a rabbit house affects the physiological responses and consequently the production of the animals. Thus, models are needed to assist rabbit producers in decision-making to maintain the production environment within the zone of thermoneutrality for the animals. The aim of this paper is to develop decision trees to predict the physiological responses of rabbits based on environmental variables. The experiment was performed in a rabbit house with 26 rabbits at eight weeks of age. The experimental database is composed of 546 observed data points. Sixty decision tree models for the prediction of respiratory rate (RR, mov.min

Indexed as

ear temperaturerabbit breederrespiratory ratethermal environmentwelfare

Identifiers

PMID31752222
PMCPMC6912584

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.