Evidence map›Paper›PMID 35283907›Full record

ArticleFrontiers in plant science2022

Agrometeorological and Agronomic Characterization of

Vitor Hugo Maués Macedo, Nauara Moura Lage Filho, Antônio Marcos Quadros Cunha, Marcos Neves Lopes, Rodrigo Gregório da Silva, José Antônio Alves Cutrim Junior, Cristian Faturi, Magno José Duarte Cândido, Aníbal Coutinho do Rêgo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. 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
0.7field-weighted citation impact, top 31% of its field
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, 3 citations in OpenAlex.

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

9 authors at 6 institutions in 1 country.

Vitor Hugo Maués MacedoInstitute of Health and Animal Production, Federal Rural University of Amazon, Belém, Brazil.
Nauara Moura Lage FilhoNucleus of Agricultural Sciences and Rural Development, Federal University of Pará, Castanhal, Brazil.
Antônio Marcos Quadros CunhaNucleus of Agricultural Sciences and Rural Development, Federal University of Pará, Castanhal, Brazil.
Marcos Neves LopesFederal Institute of Education, Science and Technology of Piauí, Valença, Brazil.
Rodrigo Gregório da SilvaFederal Institute of Education, Science and Technology of Ceará, Limoeiro do Norte, Brazil.
José Antônio Alves Cutrim JuniorFederal Institute of Education, Science and Technology of Maranhão, Maracanã, Brazil.
Cristian FaturiInstitute of Health and Animal Production, Federal Rural University of Amazon, Belém, Brazil.
Magno José Duarte CândidoDepartment of Animal Science, Federal University of Ceará, Fortaleza, Brazil.
Aníbal Coutinho do RêgoInstitute of Health and Animal Production, Federal Rural University of Amazon, Belém, Brazil.
Universidade Federal Rural da Amazônia · BRUniversidade Federal do Pará · BRInstituto Federal de Educação, Ciência e Tecnologia do Ceará · BRInstituto Federal do Maranhão · BRInstituto Federal do Piauí · BRUniversidade Federal do Ceará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variability in climatic conditions of low-latitude tropical grass cultivation can affect forage production dynamics. Pasture ecosystems are complex and preferably studied from a multifactorial point of view through multivariate approaches. Therefore, in this study, we characterized different growing conditions for grasses of the

Indexed as

agrometeorologygrowing conditionsMegathyrsusmultivariate analysispasture ecosystemssemi-aridtropical humid

Identifiers

PMID35283907
PMCPMC8914166
OpenAlexW4214732072

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.