Spatial and temporal analysis of coffee wilt disease caused by Fusarium xylarioides in Coffea canephora

Musoli, Chungason Pascal; Pinard, Fabrice; Charrier, André; Kangire, A.; Hoopen, G. Martijn ten; Kabole, C.; Ogwang, J.; Bieysse, Daniel; Cilas, Christian

doi:10.1007/s10658-008-9310-5

Cited by 24 publications

(20 citation statements)

References 13 publications

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“…Production rose along with prices until the mid-1990s when production continually declined in the study area (Baffes 2006;Chant et al 2008). Whilst this was largely attributable to coffee wilt disease (Musoli et al 2008), the rate of decline has been affected by prices, with the entry of Vietnam on to the world market. The fall in prices, coupled with disease stopped many people from further investment in maintaining and harvesting coffee (Ponte 2002).…”

Section: Commodity Marketsmentioning

confidence: 99%

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The impact of HIV on agricultural livelihoods in southern Uganda and the challenges of attribution

Taylor

Bukenya

Asten

et al. 2010

Tropical Med Int Health

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SummaryChanges in agriculture and rural livelihoods in Africa are often attributed to the HIV epidemic. While acknowledging that the epidemic has devastated many families and communities because of excess morbidity and mortality, this review explores other causes of change in agriculture practices and production in southern Uganda. Over the past 20 years labour shortages, because of labour migration and changing aspirations (as well as HIV), crop and livestock pests and diseases, declining soil fertility, changes in commodity markets and a growing off-farm sector have contributed to the changes seen in rural southern Uganda. Policy interventions outside agriculture and health have also had an impact on households. The HIV epidemic has not happened in isolation. The perceived impacts of the epidemic cannot be addressed in isolation from these other drivers of change.

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Section: Commodity Marketsmentioning

confidence: 99%

“…2008). Whilst this was largely attributable to coffee wilt disease (Musoli et al. 2008), the rate of decline has been affected by prices, with the entry of Vietnam on to the world market.…”

Section: Exploring the Reasons For Changes In Agriculturementioning

confidence: 99%

The impact of HIV on agricultural livelihoods in southern Uganda and the challenges of attribution

Taylor

Bukenya

Asten

et al. 2010

Tropical Med Int Health

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“…Musoli et al (19) estudaram por meio de técnicas geoestatísticas a estrutura espaço-temporal da murcha do café causada por Fusarium xylarioides Steyaert (Gibberella xylarioides Heim e Saccas) em Coffea canephora e, observaram progresso temporal lento e padrão espacial agregado. Almeida et al (1), em estudo sobre a dependência espacial de Phytophthora nicotianae Breda de Haan (1896), com ajuste de semivariograma isotrópico esférico, detectaram ausência de correlação espacial do patógeno entre as amostras avaliadas.…”

Section: íNdices Estatísticos Sementes Inoculadas (%)unclassified

“…Na fitopatologia técnicas geoestatísticas estão sendo utilizadas para obter informações de localização e quantificação de doenças (1, 2,19).…”

Section: Introductionunclassified

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Variabilidade espacial de Colletotrichum truncatum em campo de soja sob três níveis de sanidade de sementes

et al. 2014

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RESUMOPalavras-chave adicionais: Máxima verossimilhança restrita, semivariograma esférico, transmissão.Objetivou-se caracterizar a variabilidade espacial da incidência de Colletotrichum truncatum (Schwein) em sementes colhidas de soja e determinar o melhor modelo e método de semivariograma que represente a incidência de C. truncatum dessas sementes. O experimento foi realizado em condições de campo na safra 2009/10, em 3 parcelas de 9,9 x 10 m, com sementes inoculadas com C. os métodos mínimos quadrados ordinários (OLS), mínimos quadrados ponderados (WLS), máxima verossimilhança (ML) e máxima verossimilhança restrita (REML). A validação cruzada foi empregada para escolha final do modelo e método do semivariograma. Em seguida, efetuaram-se a krigagem e o desvio padrão da krigagem. Os mapas de krigagem ilustraram a transmissão da semente para a semente e a sua variância. Verificou-se estrutura de dependência espacial da transmissão de C. truncatum via semente. O melhor modelo de semivariograma foi o esférico e o melhor ajuste foi o REML. Houve alcance de 0,95, 4,03 e 7,05 m para as parcelas com 0,8, 1,6 e 2,4% de sementes inoculadas respectivamente. Quanto maior o inóculo primário da parcela, maior foi a transmissão para as sementes próximas à fonte de inóculo.This study aimed to characterize the spatial variability of Colletotrichum truncatum (Schwein) incidence among harvested soybean seeds and to determine the best semivariogram model and method to represent C. truncatum incidence among these harvested seeds. The experiment was conducted under field conditions in 2009/10 crop cycle, in 3 plots of 9.9 x 10 m, using seeds inoculated with C. truncatum. The inoculum corresponded to 0.8, 1.6 and 2.4% of the total sown seeds. Three meshes were marked with GNSS receivers, totaling 112 points in each plot spaced at 1.3 m on the row. At the end of soybean cycle, seeds were harvested, dried and analyzed for their health according to the blotter test, considering the 336 demarked points. ABSTRACTto the collected data by using the methods ordinary least squares (OLS), weighted least squares (WLS), maximum likelihood (ML) and restricted maximum likelihood (REML). Cross-validation was used for the final selection of the semivariogram model and method. Then, kriging and kriging standard deviation were performed. The kriging maps illustrated the seed-to-seed transmission and its variance. Spatial dependence was found for C. truncatum transmission through the seeds. The best semivariogram model was spherical and the best fit was REML. There was a range of 0.95, 4.03 and 7.05 m for plots with 0.8, 1.6 and 2.4% inoculated seeds, respectively. The higher the primary inoculum of the plot, the higher the transmission to seeds near the inoculum source.A geoestatística tem por objetivos caracterizar a variabilidade espacial dos atributos do solo e das plantas e fazer estimativa, utilizando o princípio da variabilidade espacial, a fim de se identificar inter-relações desses atributos no espaço e no tempo, além de permitir estudar padr...

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Developing Sustainable Disease Resistance in Coffee

Kumar

Sreedharan

Shetty

et al. 2016

Plant Pathogen Resistance Biotechnology

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Spatial and temporal analysis of coffee wilt disease caused by Fusarium xylarioides in Coffea canephora

Abstract: Coffee wilt disease (CWD) caused by

Cited by 24 publications

References 13 publications

The impact of HIV on agricultural livelihoods in southern Uganda and the challenges of attribution

The impact of HIV on agricultural livelihoods in southern Uganda and the challenges of attribution

Variabilidade espacial de Colletotrichum truncatum em campo de soja sob três níveis de sanidade de sementes

Developing Sustainable Disease Resistance in Coffee

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