Spatial distribution of citrus leprosis in the Eastern Amazon

Oliveira, Fábio Júnior de; Farias, Paulo Roberto Silva; Silva, Anderson Gonçalves da; Rodrigues, Karjoene Cassimiro Vilar; Araújo, Francisca das Chagas Bezerra de

doi:10.5935/1806-6690.20160007

Cited by 4 publications

(5 citation statements)

References 18 publications

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“…The local climate is characterized as a tropical climate (Am) with a moderately dry season, with annual average rainfall between 2500-3000 mm. The driest quarter of the year is between September and November (Oliveira et al 2016).…”

Section: Site Descriptionmentioning

confidence: 99%

Estimation of evapotranspiration and single and dual crop coefficients of acai palm in the Eastern Amazon (Brazil) using the Bowen ratio system

Sousa

Fernandes²,

Tavares

et al. 2021

Irrig Sci

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The acai palm (Euterpe oleracea Mart.) is a fruit from the Amazon that is originally found in flooded areas. Over recent years, its marketability has gained significant interest in Brazil and abroad because of its agronomic, nutritional and economic potential. However, there is a lack of technical-scientific information about crop water requirements for irrigation management during the reproductive phase of acai palm. Therefore, the aim of this research was to estimate the water requirements (crop evapotranspiration (ET c ), single (Kc) and dual (Kcb + Ke) crop coefficients) of acai palm in the Eastern Amazon (Brazil) using the Bowen ratio system. A micrometeorological tower was installed in the center of an experimental area to monitor ET c and meteorological variables. Phenological development was monitored during two growing seasons. Soil water evaporation was determined on a daily scale using weighing microlysimeters. Ke and Kcb values were calculated by the ratio of soil surface evaporation and transpiration to reference evapotranspiration (ET o ), respectively. Total water requirements of the acai palms were 1165 mm, with a daily average of 3.49 mm day −1 for the growing season. The average values of Kc, Ke and Kcb for the acai palm were 1.08; 0.21 and 0.84, respectively. The findings will assist the design of irrigation management protocols for acai trees that are better tailored to satisfy crop water requirements. This will allow improved water use efficiency, ensuring tree crop sustainability.

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Section: Site Descriptionmentioning

confidence: 99%

Estimation of evapotranspiration and single and dual crop coefficients of acai palm in the Eastern Amazon (Brazil) using the Bowen ratio system

Sousa

Fernandes²,

Tavares

et al. 2021

Irrig Sci

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“…Furthermore, wind speed is also considered an important agent of dispersal (ALvES et al, 2005). Making use of geostatistical methods, a recent study showed an aggregated distribution pattern for the disease (i.e., incidence of CiLV-C), with fitted models showing spatial dependence ranging from 9 to 30 m (OLIvEIRA JR et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

SPATIAL DISTRIBUTION AND SEQUENTIAL SAMPLING OF Brevipalpus phoenicis IN CITRUS

et al. 2016

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ABSTRACT-Among the pests of citrus, one of the most important is the red and black flat mite Brevipalpus phoenicis (Geijskes), which transmits the Citrus leprosis virus C (CiLv-C). When a rational pest control plan is adopted, it is important to determine the correct timing for carrying out the control plan. Making this decision demands constant follow-up of the culture through periodic sampling where knowledge about the spatial distribution of the pest is a fundamental part to improve sampling and control decisions. The objective of this work was to study the spatial distribution pattern and build a sequential sampling plan for the pest. The data used were gathered from two blocks of valencia sweet orange on a farm in São Paulo State, Brazil, by 40 inspectors trained for the data collection. The following aggregation indices were calculated: variance/ mean ratio, Morisita index, Green's coefficient, and k parameter of the negative binomial distribution. The data were tested for fit with Poisson and negative binomial distributions using the chi-square goodness of fit test. The sequential sampling was developed using Wald's Sequential Probability Ratio Test and validated through simulations. We concluded that the spatial distribution of B. phoenicis is aggregated, its behavior best fitted to the negative binomial distribution and we built and validated a sequential sampling plan for control decision-making. Index terms: red and black flat mite, negative binomial, Poisson distribution, decision making, integrated pest management. DISTRIBUIÇÃO ESPACIAL E AMOSTRAGEM SEQUENCIAL DE Brevipalpus phoenicis EM CITRUSRESUMO-Dentre as pragas dos citros, uma das mais importantes é o ácaro da leprose Brevipalpus phoenicis (Geijskes), que transmite o vírus da leprose dos citros (CiLv-C). Quando um plano racional de controle de pragas é adotado, é importante se determinar o tempo correto para se dar início ao plano de controle. Para tanto, é necessário acompanhamento constante da cultura através de amostragens periódicas, onde o conhecimento do comportamento espacial da praga é fundamental. O objetivo deste trabalho foi estudar o padrão de distribuição espacial e desenvolver um plano de amostragem sequencial para a praga. Os dados utilizados foram coletados em dois talhões de laranja valência em uma fazenda no estado de São Paulo, Brasil, por 40 inspetores treinados para a atividade.

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“…, 1992). O nematoide consegue migrar no solo de uma planta para a outra quando as condições de umidade são boas, principalmente em áreas de pouca drenagem (CHINCHILA, 1991;TIHOHOD, 1993) Os padrões agregados, com moderada e forte dependência espacial para Anel vermelho, corroboraram com a distribuição das doenças em campo e podem ser explicados pela limitada dispersão dos patógenos via solo, uma vez que fitonematoides possuem movimentação ativa, porém restrita no solo, podendo alcançar apenas 75 cm de profundidade (Silva et al 2016;Prot, 1980). Tabela 3 -Total de R. palmarum, Total de Armadilhas, parâmetros dos semivariogramas ajustados, coeficiente de determinação (R2) e parâmetro k para análise de dependência espacial em R. palmarum em plantio de palma de óleo no município de Tailândia, Pará.…”

Section: Z(xi+h)]unclassified

“…Sendo o modelo gaussiano o que apresentou maiores valores do coeficiente de determinação (R 2 ) com valores que variaram de 0,85 a 0,97. lembrando, que este parâmetro indica a qualidade do modelo do semivariograma, onde valores próximos a 1 (um) indicam bom ajuste do modelo. (DIONÍSIO et al, 2015;OLIVEIRA et al, 2016).Tabela 2-Focos da doença, Infecção de plantas atacadas, parâmetros dos semivariogramas ajustados ao modelo teórico, coeficiente de determinação (R 2 ) e parâmetro k para análise de dependência espacial do Anel Vermelho em plantio de palma de óleo no município de Tailândia, Pará.a em reboleiras e disseminando pela área. Resultados de dependência espacial de anel vermelho foram encontrados porSilva et al (2016) onde valor de 0,145 e grau de dependência forte.…”

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“…(DIONÍSIO et al, 2015;OLIVEIRA et al, 2016).Tabela 2-Focos da doença, Infecção de plantas atacadas, parâmetros dos semivariogramas ajustados ao modelo teórico, coeficiente de determinação (R 2 ) e parâmetro k para análise de dependência espacial do Anel Vermelho em plantio de palma de óleo no município de Tailândia, Pará.a em reboleiras e disseminando pela área. Resultados de dependência espacial de anel vermelho foram encontrados porSilva et al (2016) onde valor de 0,145 e grau de dependência forte. estudos em coqueiros relatam o B. cocophilus é altamente capaz de Segundo os estudosde Schuiling & Dinther (1981) que não encontraram evidências do desenvolvimento de anel-vermelho em focos de infecção no campo, de acordo com esses autores apenas 5% dos casos de palmeiras afetadas pelo anel vermelho as palmeiras vizinhas aparecem com sintomas do anel-vermelho.…”

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Spatio-temporal analysis of the red ring pathosystem in Oil palm in the Eastern Amazon

Medeiros,

Farias,

Santos

et al. 2024

CLIUM

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The objective was to evaluate the spatial and temporal distribution of the Red Ring and R. Palmarum in conventional oil palm plantation in the municipality of Thailand, state of Pará, in the production area of the AGROPAR Farm, belonging to the AGROPALMA SA Company, through of data obtained monthly from a Historical series from 2014 to 2018, using Geostatistics as a tool. To evaluate the dispersion of the Red Ring and R. Palmarum, sequential sampling was used. In this way, semivariograms were generated and the theoretical models were tested: Spherical, Gaussian, exponential and linear (pure nugget effect). The obtained semivariograms were submitted to the Krigagem estimator to make the dispersion maps of the Patosystem. Through the semivariograms it was observed that the model that best fit the spatial distribution of the red ring was the Gaussian, with range values for the experimental area ranging from 690 m to 870 m. As for the distribution of R. Palmarum, the models that best fit were the spherical and exponential, with values ranging from 860 m to 4990 m and that the R. palmarum infestation is preferably located on the periphery of the courts.

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Spatial distribution of citrus leprosis in the Eastern Amazon

Cited by 4 publications

References 18 publications

Estimation of evapotranspiration and single and dual crop coefficients of acai palm in the Eastern Amazon (Brazil) using the Bowen ratio system

Estimation of evapotranspiration and single and dual crop coefficients of acai palm in the Eastern Amazon (Brazil) using the Bowen ratio system

SPATIAL DISTRIBUTION AND SEQUENTIAL SAMPLING OF Brevipalpus phoenicis IN CITRUS

Spatio-temporal analysis of the red ring pathosystem in Oil palm in the Eastern Amazon

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