Evaluation of Field Sampling Techniques for Estimation of Disease Incidence

Delp, B. R.; Stowell, Larry J.; Marois, James J.

doi:10.1094/phyto-76-1299

Cited by 58 publications

(35 citation statements)

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“…In each of the six districts, fourteen farmers' fields separated by about 5 Km, were randomly selected along the road or path within the village. These fields were assessed for ALS bean disease occurrence and severity; while walking, following "W'' path within the field (Delp et al,1986;Crabb et al, 1994).…”

Section: Methodsmentioning

confidence: 99%

Prevalence of angular leaf spot disease and sources of resistance in common bean in eastern Democratic Republic of Congo

Kijana¹,

Abang²,

Edema³

et al. 2017

Afr. Crop Sci. J.

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Section: Methodsmentioning

confidence: 99%

Prevalence of angular leaf spot disease and sources of resistance in common bean in eastern Democratic Republic of Congo

Kijana¹,

Abang²,

Edema³

et al. 2017

Afr. Crop Sci. J.

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“…In this case, sample size and sampling pattern considerations are critical. For assessment of disease incidence, Delp et al (47) advocate the use of a stratified random sampling pattern in which the field is first divided into several strata (e.g., regions of higher or lower disease risk), followed by the random collection of samples within each stratum. Using this sampling design, percent error in disease estimates is reduced considerably compared with commonly used systematic sampling designs such as diagonal or W-shaped patterns.…”

Section: Sampling Methods Sample Size and Qualitymentioning

confidence: 99%

Plant Pathogen Forensics: Capabilities, Needs, and Recommendations

Fletcher

Bender

Budowle

et al. 2006

Microbiol Mol Biol Rev

163

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SUMMARY A biological attack on U.S. crops, rangelands, or forests could reduce yield and quality, erode consumer confidence, affect economic health and the environment, and possibly impact human nutrition and international relations. Preparedness for a crop bioterror event requires a strong national security plan that includes steps for microbial forensics and criminal attribution. However, U.S. crop producers, consultants, and agricultural scientists have traditionally focused primarily on strategies for prevention and management of diseases introduced naturally or unintentionally rather than on responding appropriately to an intentional pathogen introduction. We assess currently available information, technologies, and resources that were developed originally to ensure plant health but also could be utilized for postintroduction plant pathogen forensics. Recommendations for prioritization of efforts and resource expenditures needed to enhance our plant pathogen forensics capabilities are presented.

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“…A modified 'W' sampling pattern was used to select 10 random points for sampling at each season. These sampling points were used in each field (Delp et al, 1986). At each sampling point, 3.12 m 2 (two 3 m-rows spaced 0.52 m apart) were evaluated to determine disease incidence.…”

Section: Field Evaluation Of Charcoal Rot In Soybeanmentioning

confidence: 99%

Disease incidence of charcoal rot (Macrophomina phaseolina) on soybean in north-western Argentina and genetic characteristics of the pathogen

Reznikov

Vellicce

Mengistu³

et al. 2018

Canadian Journal of Plant Pathology

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Charcoal rot of soybean (Glycine max (L.) Merr.), caused by Macrophomina phaseolina (Tassi) Goid., is an economically important disease worldwide. In recent years, charcoal rot has become a concern for farmers in north-western Argentina. The present work aimed to (1) evaluate disease incidence of charcoal rot; (2) assess morphological and genetic characteristics of M. phaseolina isolates from soybean and other hosts collected in north-western Argentina; and (3) compare genetic diversity between soybean isolates of M. phaseolina from Argentina and the USA. Incidence of charcoal rot evaluated in 11 locations during five growing seasons (2008-2012) was 1%, 1%, 1%, 5-10% and 90%, respectively, indicating a gradual increase over the cropping seasons. Cluster analysis by AFLP of Argentinean isolates exhibited one main group, with isolate Mp56 separated at a genetic distance of 0.70. Four main groups were identified using SSR markers at the same genetic distance, with Mp56 and Mp53 separated from them. There was no clear association between AFLP, SSR profiles, morphological characteristics or host of origin within isolates from Argentina. However, using principal coordinate analysis of SSRs, 22 isolates of M. phaseolina from soybean from north-western Argentina were clearly distinguished from 11 isolates previously collected from two states in the USA. Our results confirmed the increasing importance of charcoal rot in north-western Argentina and identified characteristics of isolates that may be useful for breeding for disease resistance and developing integrated management programmes for charcoal rot in Argentina in the future.Keywords: charcoal rot, disease development, Macrophomina phaseolina, pathogen genetic diversity, SSR markers Résumé: La pourriture noire du soya (Glycine max (L.) Merr.), causée par Macrophomina phaseolina (Tassi) Goid., est une maladie économiquement importante dans le monde entier. Depuis les dernières années, elle préoccupe les producteurs du nord-ouest de l'Argentine. Ces travaux visaient à: (1) estimer l'incidence de la maladie; (2) évaluer les caractéristiques morphologiques et génétiques des isolats de M. phaseolina collectés sur le soya et d'autres hôtes du Nord-Ouest argentin; et (3) comparer la diversité génétique entre les isolats de M. phaseolina collectés sur le soya en Argentine et aux États-Unis. L'incidence de la pourriture noire évaluée à 11 endroits durant 5 saisons de croissance (de 2008 à 2012) était de 1%, 1%, 1%, 5-10% et 90%, respectivement, ce qui indique une progression graduelle d'une saison à l'autre. L'analyse typologique des données AFLP des isolats argentins a fait ressortir un groupe principal incluant l'isolat Mp56 séparé par une distance génétique de 0.70. Quatre groupes principaux ont été identifiés à l'aide de marqueurs SSR à la même distance génétique, Mp56 et Mp53 en étant séparés. Il n'y avait pas de corrélation nette entre les données AFLP, les profiles SSR, les caractéristiques morphologiques ou l'hôte d'origine parmi les isolats argentins. Tout...

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Evaluation of Field Sampling Techniques for Estimation of Disease Incidence

Cited by 58 publications

References 0 publications

Prevalence of angular leaf spot disease and sources of resistance in common bean in eastern Democratic Republic of Congo

Prevalence of angular leaf spot disease and sources of resistance in common bean in eastern Democratic Republic of Congo

Plant Pathogen Forensics: Capabilities, Needs, and Recommendations

Disease incidence of charcoal rot (Macrophomina phaseolina) on soybean in north-western Argentina and genetic characteristics of the pathogen

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