Modelling the severity–yield relationship for the late‐season disease complex in soybean small‐plot trials DOI

Ana Carolyne Costa de Carvalho,

C. V. Godoy, A. R. Dias

et al.

Plant Pathology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 14, 2024

Abstract A meta‐analytical approach was employed to assess the relationship between late‐season disease (LSD) severity and soybean yield across 39 field trials conducted from 2020/21 2023/24 in nine Brazilian states. Pearson's correlation coefficient ( r ) Fisher's transformation Z were calculated examine association yield. Additionally, random‐ mixed‐effects meta‐analyses performed estimate intercept (β 0 slope 1 of linear regression model. Disease pressure, class, region, altitude year included as categorical moderators. The damage (in percentage) β values, while economic threshold (EDT) derived using estimated coefficient, attainable fungicide efficacy values. strong negative LSD observed = −1.03, −0.77). population average estimates for 4589.0 kg/ha −22.6 per unit increase severity, respectively p < 0.001). While none moderators significantly affected > 0.19), class 0.014). overall relative at −0.49% (95% CI −0.61 −0.38), with EDT values ranging 0.41% 4.33% (mean 1.57%). In conclusion, a significant confirmed, particularly Cercospora leaf blight Septoria brown spot. However, these relationships should be validated further before being extrapolated larger scales.

Language: Английский

Cercospora Leaf Blight and Purple Seed Stain in Soybean: Insights and Challenges with a South American Perspective DOI
Francisco Sautua, María Cecilia Pérez‐Pizá,

Mercedes Scandiani

et al.

Plant Health Cases, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Abstract Cercospora leaf blight (CLB) and purple seed stain (PSS) are caused by several species of , including C . kikuchii cf. flagellaris These diseases prevalent in the world’s top soybean-producing regions, where they can lead to significant yield losses. Management strategies currently rely heavily on fungicide applications, but development resistance common fungicides presents a growing challenge. To address this, there is increasing interest innovative approaches, such as biofungicides, biostimulants, plant defence inducers, which could offer more sustainable disease control. This case study examines impact CLB PSS, with focus epidemiological factors contributing their spread, explores ongoing research aimed at improving management these soybean production. Information © The Authors 2025

Language: Английский

Citations

0
Modelling the severity–yield relationship for the late‐season disease complex in soybean small‐plot trials DOI

Ana Carolyne Costa de Carvalho,

C. V. Godoy, A. R. Dias

et al.

Plant Pathology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 14, 2024

Abstract A meta‐analytical approach was employed to assess the relationship between late‐season disease (LSD) severity and soybean yield across 39 field trials conducted from 2020/21 2023/24 in nine Brazilian states. Pearson's correlation coefficient ( r ) Fisher's transformation Z were calculated examine association yield. Additionally, random‐ mixed‐effects meta‐analyses performed estimate intercept (β 0 slope 1 of linear regression model. Disease pressure, class, region, altitude year included as categorical moderators. The damage (in percentage) β values, while economic threshold (EDT) derived using estimated coefficient, attainable fungicide efficacy values. strong negative LSD observed = −1.03, −0.77). population average estimates for 4589.0 kg/ha −22.6 per unit increase severity, respectively p < 0.001). While none moderators significantly affected > 0.19), class 0.014). overall relative at −0.49% (95% CI −0.61 −0.38), with EDT values ranging 0.41% 4.33% (mean 1.57%). In conclusion, a significant confirmed, particularly Cercospora leaf blight Septoria brown spot. However, these relationships should be validated further before being extrapolated larger scales.

Language: Английский

Citations

0