Evidence map›Paper›PMID 34294807›Full record

ArticleScientific reports2021

Photo-selective shading screens as a cover for production of purple lettuce.

Ramon Amaro de Sales, Evandro Chaves de Oliveira, Eduardo Buzatto, Robson Ferreira de Almeida, Marcus José Alves de Lima, Sávio da Silva Berilli, Ronilda Lana Aguiar, Mario Lovo, Robson Prucoli Posse, Joana Casagrande Dos Santos and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.5field-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, 9 citations in OpenAlex.

  1. Review
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

13 authors at 4 institutions in 1 country.

Ramon Amaro de SalesDepartament of Plant Science, Federal University of Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil. ramonamarodesales@gmail.com.
Evandro Chaves de OliveiraFederal Institute of Espírito Santo-Unit Itapina, Highway BR-259, Km 70, Country Side, Post office box 256, Colatina, Espírito Santo, 29709-910, Brazil.
Eduardo BuzattoFederal Institute of Espírito Santo-Unit Itapina, Highway BR-259, Km 70, Country Side, Post office box 256, Colatina, Espírito Santo, 29709-910, Brazil.
Robson Ferreira de AlmeidaFederal Institute of Espírito Santo-Unit Itapina, Highway BR-259, Km 70, Country Side, Post office box 256, Colatina, Espírito Santo, 29709-910, Brazil.
Marcus José Alves de LimaFederal Rural University of the Amazon, Rua Professora Antônia Cunha, Capitão Poço, Pará, 68650-000, Brazil.
Sávio da Silva BerilliFederal Institute of Espírito Santo-Unit Itapina, Highway BR-259, Km 70, Country Side, Post office box 256, Colatina, Espírito Santo, 29709-910, Brazil.
Ronilda Lana AguiarFederal Institute of Espírito Santo-Unit Itapina, Highway BR-259, Km 70, Country Side, Post office box 256, Colatina, Espírito Santo, 29709-910, Brazil.
Mario LovoFederal Institute of Espírito Santo-Unit Itapina, Highway BR-259, Km 70, Country Side, Post office box 256, Colatina, Espírito Santo, 29709-910, Brazil.
Robson Prucoli PosseFederal Institute of Espírito Santo-Unit Itapina, Highway BR-259, Km 70, Country Side, Post office box 256, Colatina, Espírito Santo, 29709-910, Brazil.
Joana Casagrande Dos SantosFederal Institute of Espírito Santo-Unit Itapina, Highway BR-259, Km 70, Country Side, Post office box 256, Colatina, Espírito Santo, 29709-910, Brazil.
Waylson Zancanella QuartezaniFederal Institute of Espírito Santo-Unit Itapina, Highway BR-259, Km 70, Country Side, Post office box 256, Colatina, Espírito Santo, 29709-910, Brazil.
Rodrigo Amaro de SallesDepartament of Plant Science, Federal University of Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil.
Felipe Cunha SimanFederal University of Espírito Santo-Unit Alegre, Alto Universitário, s/n, Guararema, Alegre, Espírito Santo, 29500-000, Brazil.
Instituto Federal do Espírito Santo · BRUniversidade Federal de Viçosa · BRUniversidade Federal do Espírito Santo · BRUniversidade Federal Rural da Amazônia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photo-selective shading screens are emerging practices that aim to combine crop physical protection with different solar radiation filtration to achieve desired physiological responses. The objective of the present study was to evaluate the effect of photo-selective shading screens on the growth and physiology of purple lettuce for two transplanting seasons in tropical climate in Brazil. A 2 × 4 factorial arrangement was used, being considered the first factor, the transplanting season (spring and fall), and the second factor is the three 35% shading photo-selective shading screens (red, black and silver) and full sun control. The experimental design was a randomized complete block with four replications. The variables studied were: total fresh matter, total dry matter, leaf number, stem diameter, stem length, leaf area, SPAD chlorophyll index, nitrogen balance indexes, chlorophyll, flavonoids and anthocyanins. The photo-selective shading screens influenced the microclimate and the growth variables of purple lettuce, mainly when these plants were sown in the fall. Planting lettuce during spring may result in lower yields due to the higher investment of plants in secondary metabolites to defend against abiotic stress. According to the results, photo-selective shading screens are an appropriate agronomic technique to reduce phenolic compounds and improve lettuce cultivation conditions and can be implemented within protected cultivation practices to improve crop performance.

Identifiers

PMID34294807
PMCPMC8298437
OpenAlexW3185122748

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.