Survey of Potentially Host Weeds of Planococcus spp. in Coffee Crops

Fornaciari, Gabriel; Borghi, E.; Vieira, Mayara Leite; Aguiar, Ronilda Lana; Holtz, Anderson Mathias; Filho, A. C. Verdin; Comério, Marcone; Carvalho, José Romário de; Xavier, A. S.; Neto, Vergilio Borghi; Assis, Caio Henrique Binda de

doi:10.22161/ijaers.75.41

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…Fornazier et al (2018), also noted the preference of citrus mealybug for the root system of weeds associated with conilon coffee, proving that this is a place of refuge. Fornaciari et al (2020) found 17 species of host weeds of citrus mealybug in conilon coffee crops, distributed within the botanical families: Asteraceae, Malvaceae, Poaceae, Amaranthaceae, Cyperaceae, Solanaceae, Commelinaceae, Portulacaceae and Cucurbitaceae, demonstrating the potential of weeds as host and source of inoculum for infestations during the flowering and fruiting phase, similar to that observed by Bastos et al (2007) in cotton growing areas with the occurrence of P. minor.…”

Section: Discussionsupporting

confidence: 73%

“…The weed sampling process should be carried out, preferably, in the species Bidens pilosa L. and Ageratum conyzoides L. because they are easily found in conilon coffee plantations and for demonstrating greater susceptibility to the occurrence of citrus mealybug (Fornaciari et al, 2020;Fornazier et al, 2019).…”

Section: Phenological Stages Of Conilon Coffee (Varietymentioning

confidence: 99%

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Planococcus spp.: behavior and monitoring in conilon coffee crops

Borghi

Fornaciari

Vieira

et al. 2021

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The damage caused by the citrus mealybug attack, Planococcus spp., on Coffea canephora crops is becoming more and more frequent, and may cause losses close to 100%. Knowledge of aspects related to pest behavior and adoption of methods to monitor crop incidence are important tools for integrated pest management. Thus, the objective was to study the behavior of citrus mealybug along the phenological stages of C. canephora and to propose methods to monitor its occurrence in the crops. The study was carried out in an area consisting of adult C. canephora plants of the variety Diamante ES 8112. The study was carried out using four sampling methods: 1) soil and root sampling with a probe; 2) opening small trenches; 3) plagiotropic branches and 4) weed sampling. Evaluations were carried out monthly by checking and confirming the presence of citrus mealybug in the sampled regions. The information obtained was used to describe the behavior of citrus mealybug and to analyze the applicability of the monitoring methods studied. In the absence of the reproductive phase, citrus mealybug lodges in the root system of coffee and weeds, in the region close to the colon, moving to the aerial part of the plants (rosettes) at the beginning of the flowering of the crop. Probe sampling was not efficient, while opening small trenches is a difficult procedure and causes damage to the root system of the coffee tree. The sampling of plagiotropic branches and weeds allows the monitoring of citrus mealybug during all the phenological phases of C. canephora.

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Section: Discussionsupporting

confidence: 73%

Section: Phenological Stages Of Conilon Coffee (Varietymentioning

confidence: 99%

Planococcus spp.: behavior and monitoring in conilon coffee crops

Borghi

Fornaciari

Vieira

et al. 2021

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“…Here, N=S+I+R is independent of time t and denotes the total population size [8] , [18] , [55] , [56] , [69] . The population of India in 2020 is estimated as 1,380,004,385 people at mid-year according to the UN data [57] .…”

Section: Estimation Of Parameters Of Sir Model Of India Using An Actumentioning

confidence: 99%

Estimating the parameters of susceptible-infected-recovered model of COVID-19 cases in India during lockdown periods

Bagal¹,

Rath

Barua

et al. 2020

Chaos, Solitons & Fractals

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Highlights From the pandemic scenario of COVID-19 disease cases in all over the world, the outbreak prediction becomes very complex for the emerging scientifically research. Several epidemiological mathematical models of spread are increasing day by day to forecast correctly. Here, the classical SIR modelling approach is carried out to study the different parameters of this model in case of India county. This type of approach analyzed by considering different governmental lock down measures in India. The outcome results showed the extreme interventions should be taken to tackle this type of pandemic situation in near future.

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“…Here, N=S+I+R, is independent of time t, denotes the total population size [8, 22, 54-56]. India 2020 population is estimated at 1,380,004,385 people at mid-year according to UN data.…”

Section: Introductionmentioning

confidence: 99%

Estimating the parameters of SIR model of COVID-19 cases in India during lock down periods

Bagal¹,

Rath

Barua³

et al. 2020

Preprint

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From the pandemic scenario of COVID-19 disease cases in all over the world, the outbreak prediction becomes very complex for the emerging scientifically research. Several epidemiological mathematical models of spread are increasing day by day to forecast correctly. Here, the classical SIR modelling approach is carried out to study the different parameters of this model in case of India county. This type of approach analyzed by considering different governmental lock down measures in India. There are some assumptions were taken into account for fitting the model in Python simulation in each lock down scenario. The predicted parameters of SIR model showed some improvement in each case of lock down in India. The outcome results showed the extreme interventions should be taken to tackle this type of pandemic situation in near future.

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Survey of Potentially Host Weeds of Planococcus spp. in Coffee Crops

Cited by 3 publications

References 3 publications

Planococcus spp.: behavior and monitoring in conilon coffee crops

Planococcus spp.: behavior and monitoring in conilon coffee crops

Estimating the parameters of susceptible-infected-recovered model of COVID-19 cases in India during lockdown periods

Estimating the parameters of SIR model of COVID-19 cases in India during lock down periods

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