Impact of Sclerotinia Stem Rot on Yield of Canola

Río, L. E. del; Bradley, Carl A.; Henson, Robert A.; Endres, Gregory; Hanson, Bryan; McKay, Kent; Halvorson, M.; Porter, Paul M.; Gare, D. G. Le; Lamey, H. A.

doi:10.1094/pdis-91-2-0191

Cited by 98 publications

(57 citation statements)

References 15 publications

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“…Other disease-related variables such as the number of sclerotia per seed weight and the number of apothecia per m 2 on the soil surface have also been used as an indirect measure of white mould intensity (Huang et al, 2000;Zeng et al, 2012). Nevertheless, incidence remains a less subjective and rapid method of describing white mould intensity for field assessments, with utility for comparing management tactics, such as fungicide efficacy or evaluating resistance (Hoffman et al, 1998;Yang et al, 1999;del R ıo et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Meta‐analytic modelling of the incidence–yield and incidence–sclerotial production relationships in soybean white mould epidemics

et al. 2016

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White mould (Sclerotinia sclerotiorum) is a destructive disease of soybean worldwide. However, little is known of its impact on soybean production in Brazil. A meta‐analytic approach was used to assess the relationship between disease incidence and soybean yield (35 trials) and between incidence and sclerotia production (29 trials) in experiments conducted in 14 locations across four seasons. Region, site elevation and season included as moderators in random‐effects and random‐coefficients models did not significantly explain the variability in the slopes of the incidence–yield relationship. The Pearson's r, obtained from back‐transforming the Fisher's Z estimated by an overall random‐effects model, showed that incidence of white mould was moderately and negatively correlated with yield (r = −0.76, P < 0.0001). A random‐coefficients model estimated a slope of −17.2 kg ha−1%−1, for a mean attainable yield of 3455 kg ha−1, indicating that a 10% increase in white mould incidence would result in a mean yield reduction of 172 kg ha−1. White mould incidence and production of sclerotia were strongly and positively correlated (r = 0.85, P < 0.0001). For every 10% increase in white mould incidence, 1 kg ha−1 of sclerotia was produced. The relationship between disease incidence and production of sclerotia was stronger in southern regions and at higher elevation. In the absence of management, economic losses associated with white mould epidemics, assuming 43% incidence in 22% of the soybean area, were estimated at approximately US $1.47 billion annually within Brazil.

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Section: Introductionmentioning

confidence: 99%

Meta‐analytic modelling of the incidence–yield and incidence–sclerotial production relationships in soybean white mould epidemics

et al. 2016

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“…Although several fungicides are available, their efficacy depends strongly on the application time, plant development stage and environmental conditions that favors infection (Turkington and Morrall 1993). Furthermore, the environmental damage and the economic cost of fungicide applications to manage this disease cannot be ignored (del Río et al 2007). Therefore, breeding rapeseed varieties with high level of resistance offers an economical and ecological sustainable alternative to control S. sclerotiorum.…”

Section: Introductionmentioning

confidence: 99%

Identification of resistant sources against Sclerotinia sclerotiorum in Brassica species with emphasis on B. oleracea

et al. 2010

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Stem rot caused by Sclerotinia sclerotiorum is one of the most devastating diseases of rapeseed (Brassica napus L.) which causes huge loss in rapeseed production. Genetic sources with high level of resistance has not been found in rapeseed. In this study, 68 accessions in six Brassica species, including 47 accessions of B. oleracea, were evaluated for leaf and stem resistance to S. sclerotiorum. Large variation of resistance was found in Brassica, with maximum differences of 5-and 57-folds in leaf and stem resistance respectively. B. oleracea, especially its wild types such as B. rupestris, B. incana, B. insularis, and B. villosa showed high level of resistance. Our data suggest that wild types of B. oleracea possess tremendous potential for improving S. sclerotiorum resistance of rapeseed.

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“…In their study, damage thresholds varied between 13 to 25% disease incidence, based on yield levels between 5 tons/ha and 3 tons/ha, respectively. In another study, 17% SSR incidence lead to a yield loss that would justify a fungicide application in USA (del Rio et al 2007). A damage threshold of 25% SSR seems therefore a practical consideration in areas with lower yield potential, such as Norway.…”

Section: Introductionmentioning

confidence: 96%

The role of precipitation, and petal and leaf infections in Sclerotinia stem rot of spring oilseed Brassica crops in Norway

et al. 2018

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Sclerotinia stem rot (SSR) is the most important disease of oilseed Brassica crops in Norway. Fungicide applications should be aligned with the actual need for control, but the SSR prediction models used lack accuracy. We have studied the importance of precipitation, and the role of petal and leaf infection for SSR incidence by using data from Norwegian field and trap plant trials over several years. In the trials, SSR incidence ranged from 0 to 65%. Given an infection threshold of 25% SSR, regression and Receiver Operating Characteristics (ROC) analysis were used to evaluate different precipitation thresholds. The sum of precipitation two weeks before and during flowering appeared to be a poor predictor for SSR infection in our field and trap plant trials (P = 0.24, P = 0.11, respectively). Leaves from three levels (leaf one, three, five), and petals were collected at three to four different times during flowering from nine field sites over two years and tested for SSR infection with real-time PCR. Percentage total leaf and petal infection explained 57 and 45% of variation in SSR incidence, respectively. Examining the different leaves and petals separately, infection of leaf three sampled at full flowering showed the highest explanation of variation in later SSR incidence (R 2 = 65%, P < 0.001). ROC analysis showed that given an infection threshold of 45%, both petal and leaf infection recommended spraying when spraying was actually needed. Combining information on petal and leaf infection during flowering with relevant microclimate factors in the canopy, instead of the sum of precipitation might improve prediction accuracy for SSR.

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Impact of Sclerotinia Stem Rot on Yield of Canola

Cited by 98 publications

References 15 publications

Meta‐analytic modelling of the incidence–yield and incidence–sclerotial production relationships in soybean white mould epidemics

Meta‐analytic modelling of the incidence–yield and incidence–sclerotial production relationships in soybean white mould epidemics

Identification of resistant sources against Sclerotinia sclerotiorum in Brassica species with emphasis on B. oleracea

The role of precipitation, and petal and leaf infections in Sclerotinia stem rot of spring oilseed Brassica crops in Norway

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