Andrea Onelia Rodriguez Roa, Rafael Fausto de Lima, Gisèle Maria Fantin, Aildson Pereira Duarte, Glauco de Souza Rolim
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The analysis was based on 25 years of MWS severity and yield data collected from 29 production sites in São Paulo, Brazil. Statistical approaches include correlation analysis, linear regression models, and pattern identification in the data distribution. The observed trend suggests that the maize yield decreases by approximately 45.7 kg ha<sup>-1</sup> (≈ 1%) for each 1% increase in MWS severity. The variables most strongly associated with increased MWS severity are relative humidity (> 55%), soil moisture (> 0.3), mean temperature (15-22 °C), maximum temperature (20-30 °C), diurnal temperature range (8-16 °C), and wind speed (< 3 m s<sup>-1</sup>). These findings improve the understanding of the effects of the environment on disease progression, expand the knowledge of key factors and reveal new associations. 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引用次数: 0
摘要
玉米生产受到几种生物和非生物因素的影响,病害是产量和质量损失的主要原因。玉米白斑病(MWS)是一种重要病害,广泛存在于热带和亚热带地区。它的发展取决于植物、病原体和环境条件之间的相互作用。了解有利于疾病发展的环境条件对于预测不同地区的疾病发生和实施有效的作物管理策略至关重要。本研究评估了农业气象变量与MWS严重程度之间的关系,以及MWS在田间条件下对玉米产量的影响。该分析基于从巴西圣保罗29个生产基地收集的25年MWS严重程度和产量数据。统计方法包括相关分析、线性回归模型和数据分布中的模式识别。观察到的趋势表明,MWS严重程度每增加1%,玉米产量减少约45.7 kg ha-1(≈1%)。与MWS严重程度增加最密切相关的变量是相对湿度(> 55%)、土壤湿度(> 0.3)、平均温度(15-22°C)、最高温度(20-30°C)、日温差(8-16°C)和风速(-1)。这些发现提高了对环境对疾病进展影响的理解,扩大了对关键因素的认识,并揭示了新的关联。研究结果为减轻MWS对玉米生产的影响的预测模型和管理策略提供了有价值的投入。
Influence of agrometeorological variables on the severity of maize white spot and its effect on yield in tropical and subtropical regions.
Maize production is affected by several biotic and abiotic factors, with diseases being a major cause of yield and quality loss. The maize white spot (MWS) is one of the most important diseases and is widespread in tropical and subtropical production areas. Its development depends on the interactions among plants, pathogens and environmental conditions. Understanding the environmental conditions that favor disease development is essential for predicting disease occurrence in different regions and for implementing effective crop management strategies. This study evaluated the relationships between agrometeorological variables and the severity of MWS, as well as the impact of the disease on maize yield under field conditions. The analysis was based on 25 years of MWS severity and yield data collected from 29 production sites in São Paulo, Brazil. Statistical approaches include correlation analysis, linear regression models, and pattern identification in the data distribution. The observed trend suggests that the maize yield decreases by approximately 45.7 kg ha-1 (≈ 1%) for each 1% increase in MWS severity. The variables most strongly associated with increased MWS severity are relative humidity (> 55%), soil moisture (> 0.3), mean temperature (15-22 °C), maximum temperature (20-30 °C), diurnal temperature range (8-16 °C), and wind speed (< 3 m s-1). These findings improve the understanding of the effects of the environment on disease progression, expand the knowledge of key factors and reveal new associations. The results provide valuable input for predictive models and management strategies to mitigate the impact of MWS on maize production.
期刊介绍:
The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment.
Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health.
The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.