Evidence map›Paper›PMID 32942767›Full record

ArticlePlants (Basel, Switzerland)2020

Effects of Environment and Sowing Time on Growth and Yield of Upland Cotton (

Teresa Tuttolomondo, Giuseppe Virga, Francesco Rossini, Umberto Anastasi, Mario Licata, Fabio Gresta, Salvatore La Bella, Carmelo Santonoceto

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

1 citing paper in PubMed, 16 citations in OpenAlex.

  1. 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

8 authors at 6 institutions in 1 country.

Teresa TuttolomondoDepartment of Agricultural, Food and Forest Sciences, Università degli Studi di Palermo, 90128 Palermo, Italy.
Giuseppe VirgaResearch Consortium for the Development of Innovative Agro-environmental Systems (CoRiSSIA), Via della Libertà 203, 90143 Palermo, Italy.
Francesco RossiniDepartment of Agricultural and Forest Sciences, Università degli Studi della Tuscia, 01100 Viterbo, Italy.ORCID 0000-0003-2171-4734
Umberto AnastasiDepartment of Agriculture, Food and Environment, Università degli Studi di Catania, 95123 Catania, Italy.ORCID 0000-0002-3666-4517
Mario LicataDepartment of Agricultural, Food and Forest Sciences, Università degli Studi di Palermo, 90128 Palermo, Italy.
Fabio GrestaDepartment of Veterinary Sciences, Università degli Studi di Messina, 98168 Messina, Italy.
Salvatore La BellaDepartment of Agricultural, Food and Forest Sciences, Università degli Studi di Palermo, 90128 Palermo, Italy.
Carmelo SantonocetoDepartment of Agraria, Università degli Studi Mediterranea di Reggio Calabria, 89122 Reggio Calabria, Italy.ORCID 0000-0001-6085-0531
Innova (Italy) · ITUniversity of Palermo · ITUniversità degli Studi della Tuscia · ITUniversity of Catania · ITUniversity of Messina · ITUniversity of Reggio Calabria · IT

Funding

Assessorato delle risorse agricole ed alimentari della Regione Sicilia G35E11000030002
6 · The paper itself

Abstract

Cotton is one of the most important industrial crops in the world. Though widely cultivated in Sicily (Italy) in the past, cotton growth on the island has disappeared today due to a complex variety of agronomic, economic and socio-political reasons. In recent years, increased interest in natural fibers worldwide has led to a revival in cotton plants in the Mediterranean area. The aim of this paper was to assess the response of

Indexed as

environmentGossypium hirsutumindices of agronomic earlinessseed and lint yieldsSicilysowing times

Identifiers

PMID32942767
PMCPMC7569890
OpenAlexW3086978558

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.