Relações lineares entre incidência e severidade foliar do míldio da cebola

Marcuzzo, Leandro Luiz; Carvalho, Jaqueline

doi:10.1590/0100-5405/169894

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…In some pathosystems, severity is more difficult to assess, but it more accurately estimates intensity, especially in foliar disease (Marcuzzo & Carvalho, 2017). The levels of the severity scale of smut are well-differentiated.…”

Section: Discussionmentioning

confidence: 99%

Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina

Paredes

Molina

Cazón

et al. 2021

Trop. plant pathol.

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Peanut smut, caused by the soil-borne pathogen Thecaphora frezii, has increased in incidence in the main Argentinian peanut-growing regions. Smut-affected pods transforms the kernel into a mass of teliospores, which survive long-term in the soil. This study is the first large-scale (regional) survey to determine the occurrence and distribution of peanut smut in the main growing area of Argentina. Surveys were conducted in Córdoba province, in randomly selected commercial peanut fields (n = 217) grown from 2015 to 2020. A five-score severity scale has been used to quantify the smut severity on pods (0 = healthy kernels and 4 = totally smutted kernels) and a disease severity index (DSI) is calculated. Pods with severity scores of 3 and 4 are rejected by the industry and produce a high volume of spores that spread among fields increasing the inoculum in the soil. Those pods were classified as severely damaged pods (SDP). We evaluated the relative frequency of smut classes during the years and established the relationships between the yearly incidence and DSI. The mean of the incidence was variable (never zero) across the years and increased from 1.66% in 2015 to 11.47% in 2020. More than 80% of the affected pods belonged to SDP group. The variable SDP, a more time and cost-effective method for quantifying peanut smut, best explained the variation in DSI values. Our results suggest that that visual estimates of incidence and SDP should be useful for disease monitoring, screening genotypes, or treatments comparisons in smut management experiments. Our data update knowledge of the distribution of T. frezii in the peanut-growing area of Argentina.

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Section: Discussionmentioning

confidence: 99%

Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina

Paredes

Molina

Cazón

et al. 2021

Trop. plant pathol.

View full text Add to dashboard Cite

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Relationship Between Incidence and Severity of Peanut Smut and Its Regional Distribution in the Main Growing Region of Argentina

Paredes¹,

Molina²,

Cazón³

et al. 2021

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Peanut smut caused by the soil-borne pathogen Thecaphora frezii, has increased in incidence in the main Argentine peanut growing region. Smut affected pods transforming the kernel into a mass of teliospores, which survive long-term in the soil. This study is the first wide-scale survey to determine the occurrence and distribution of peanut smut in the main growing area of Argentina. Survey was conducted in Córdoba province, in commercial peanut fields (n=217) randomly selected from the 2015 to 2020. The intensity of disease was explored, analyzing the distribution of classes of disease severity from peanut fields, and assessing the relationship between disease parameters. No field with 0% incidence was recorded, being the mean of the incidence increased from 1.66% in 2015 to 11.47% in 2020. Smut symptoms varied from a small sori to the complete transformation of the kernel (severity classes). Severely damaged pods (SDP) were considered severity class 3 and 4, where at least one or both kernels were transformed into a mass of spores, producing a high volume of spores that spread among fields increasing the inoculum in the soil. More than 80% of the infected pods in samples corresponding to SDP. A strong relationship was observed between the disease severity index and incidence (R = 0.99), and between incidence and severity class 3 and 4 (R = 0.97 and R = 0.93), being the linear regression a model that explained the data. The results obtained contribute to progress in the knowledge of the distribution of T. frezii in the peanut-growing area of Argentina. Severity can be estimated by incidence, incidence assessment is faster, more accurate, and reproducible. This is a good technical criterion for monitoring the disease annually, and it can also be used to screen materials in breeding programs or treatments implemented as management strategies for peanut smut.

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Relações lineares entre incidência e severidade foliar do míldio da cebola

Cited by 2 publications

References 3 publications

Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina

Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina

Relationship Between Incidence and Severity of Peanut Smut and Its Regional Distribution in the Main Growing Region of Argentina

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