A large-scale survey reveals agro-ecological factors influence spatio-temporal distribution and epidemics of maize leaf blight: Implications for prioritizing sustainable management options

Habtamu Terefe, Getachew G. Mengesha, Getnet Yitayih, Girma A. Bogale
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Abstract

Introduction

Productivity of maize (Zea mays L.) is predominantly constrained by diseases, weeds, and insect pests. The northern leaf blight (NLB) disease, caused by Exserohilum turcicum, inflicts significant maize yield losses in the tropics and humid tropics, including Ethiopia. A large-scale field survey was conducted to assess the spatio-temporal distribution of maize NLB in southern Ethiopia, and to determine the association of maize farming practices and agro-ecological factors with NLB epidemics during 2016–2019.

Materials and Methods

A total of 814 maize farms were assessed in 12 major maize-producing districts. During the assessment, data related to the disease, crop, farming practices and agro-ecological factors were collected. The associations of disease severity with independent factors were determined using the ordinal logistic regression model.

Results

The results showed that all studied districts and zones recorded high (≥85%) NLB prevalence over the 4 years, and the disease continues to be a major threat to maize production. Variable disease severity was recorded across districts/zones during the study periods. The highest (75.45%) mean severity was recorded from Boreda, followed by Konso (75.36%), Bonke (71.61%) and Derashe (71.30%), while Mihirab Abaya (33.25%) and Arba Minch (38.285%) districts recorded the lowest mean severity. In the multiple regression model, zone, altitude, cropping year, land preparation, NPS fertilization, weeding practice, growth stage and cropping system were highly significantly (p < 0.0001) associated with disease severity.

Conclusion

Maize cultivation at an altitude of ≤1500 m with intermediate to good weeding practices, recommended NPS (51–100 kg ha–1) fertilization, mixed- and intercropping systems, sparse plant (≤20 plants m‒2) population, and vegetative to blistering growth stages had significant relationships with low (≤25, 26%–50%) disease severity, and can be considered as management options to reduce NLB pressure and yield losses to sustainably ensure maize production and productivity.

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大规模调查揭示了影响玉米叶枯病时空分布和流行的农业生态因素:优先考虑可持续管理方案的意义
引言 玉米(Zea mays L.)的产量主要受疾病、杂草和虫害的制约。由 Exserohilum turcicum 引起的北方叶枯病(NLB)给包括埃塞俄比亚在内的热带和湿热带地区的玉米产量造成了重大损失。为了评估埃塞俄比亚南部玉米NLB的时空分布情况,并确定2016-2019年间玉米耕作方式和农业生态因素与NLB流行的关联性,我们开展了一项大规模的田间调查。 材料与方法 在 12 个主要玉米生产区共评估了 814 个玉米农场。评估期间,收集了与病害、作物、耕作方式和农业生态因素相关的数据。使用序数逻辑回归模型确定了病害严重程度与独立因素之间的关系。 结果 结果表明,所有研究的地区和区域在 4 年中都记录了较高的(≥85%)NLB 发病率,该疾病仍然是玉米生产的主要威胁。在研究期间,各地区的病害严重程度不一。Boreda 的平均严重程度最高(75.45%),其次是 Konso(75.36%)、Bonke(71.61%)和 Derashe(71.30%),而 Mihirab Abaya(33.25%)和 Arba Minch(38.285%)地区的平均严重程度最低。在多元回归模型中,地区、海拔高度、种植年份、整地、NPS 施肥、除草方法、生长阶段和种植制度与病害严重程度有显著相关性(p < 0.0001)。 结论 在海拔≤1500 米的地区种植玉米,采用中等至良好的除草方法、推荐的 NPS 施肥量(51-100 千克/公顷)、混作和间作系统、稀疏植株(≤20 株/米-2)数量、无性至水泡生长阶段与低病害严重程度(≤25%、26%-50%)有显著关系,可作为减少 NLB 压力和产量损失的管理选择,以持续确保玉米产量和生产率。
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