Evidence map›Paper›PMID 35166936›Full record

ArticleInternational journal of biometeorology2022

Coffee pest severity by agrometeorological models in subtropical climate.

Lucas Eduardo de Oliveira Aparecido, Pedro Antonio Lorençone, João Antonio Lorençone, Kamila Cunha de Meneses, Rafael Fausto de Lima, José Reinaldo da Silva Cabral Moraes, Guilherme Botega Torsoni

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in International journal of biometeorology, 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
0.3field-weighted citation impact, top 40% 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, 2 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

7 authors at 3 institutions in 1 country.

Lucas Eduardo de Oliveira AparecidoFederal Institute of Sul de Minas Gerais (IFSULDEMINAS), Muzambinho, Minas Gerais, Brazil. lucas.aparecido@ifsuldeminas.edu.br.
Pedro Antonio LorençoneFederal Institute of Mato Grosso Do Sul (IFMS), Navirai, Mato Grosso Do Sul, Brazil.
João Antonio LorençoneFederal Institute of Mato Grosso Do Sul (IFMS), Navirai, Mato Grosso Do Sul, Brazil.
Kamila Cunha de MenesesGraduate Program in Agronomy (Soil Science) of the State University of Sao Paulo (FCAV/UNESP), Jaboticabal, Sao Paulo, Brazil.
Rafael Fausto de LimaFederal Institute of Mato Grosso Do Sul (IFMS), Navirai, Mato Grosso Do Sul, Brazil.
José Reinaldo da Silva Cabral MoraesFederal Institute of Mato Grosso Do Sul (IFMS), Navirai, Mato Grosso Do Sul, Brazil.
Guilherme Botega TorsoniFederal Institute of Mato Grosso Do Sul (IFMS), Navirai, Mato Grosso Do Sul, Brazil.
Universidade Federal de Mato Grosso do Sul · BRInstituto Federal do Sul de Minas · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to estimate the number of generations and cycle duration of the southern red mite, coffee berry borer, and coffee leaf miner using the thermal index to assist in controlling these main coffee pests in the state of Paraná, Brazil. The data of maximum and minimum air temperature (°C) and precipitation (mm) of all municipalities in the state from 1984 to 2018 were collected from the National Aeronautics and Space Administration/Prediction of Worldwide Energy Resources (NASA/POWER). The reference evapotranspiration was estimated using the (Camargo Campinas IAC Boletim 116:9, 1971) method and the water balance was calculated using the method of ( Thornthwaite C, Mather J (1955) The water balance publications in climatology, 8 (1). DIT, Laboratory of climatology, Centerton, NJ, USA). The basal temperature of each pest minus the average temperature of the years was used to calculate the degrees-day, the duration of the pest cycle, and the number of generations per year. The influence of altitude on the development of coffee pests was measured using the Pearson correlation. The thermal index is able to estimate the damage caused by coffee pests in the state of Pará, Brazil. Coffee pests show greater severity in the north of Paraná, in the regions with the highest temperatures. It is the same region that concentrates most of the coffee production of the state. The results of the life cycle and number of generations were interpolated for the entire state using the kriging method. Coffee pests showed the highest severity in the north region of the state of Paraná, more specifically in the Northwest, North Central, and West Central mesoregions. These regions have concentrated most of the state's coffee production. Mesoregions with the highest coffee production in the state showed higher susceptibility to coffee pests. Altitude showed a high correlation (r > 0.6) with the cycle variability and number of generations of coffee pests. The average cycles of the coffee berry borer, coffee leaf miner, and southern red mite are 24.13 (± 8.34), 45.64 (± 18.61), and 21.51 (± 3.51) days, respectively. The average annual generation was 16.67 (± 4.77), 9.02 (± 2.75), and 17.32 (± 2.63) generations, for the coffee berry borer, the coffee red mite, and the southern red mite, respectively.

Indexed as

CoffeaCoffeeBrazilTemperatureUnited StatesWaterCoffeeWaterBrazilClimate maps; Crop modelingClimatologyCoffee berry borer

Identifiers

PMID35166936
OpenAlexW4213191044

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.