| 段春芳1, 2, 宋记明1, 2, 姜太玲1, 2, 刘 倩1, 2, 李月仙1, 2, 肖明昆1, 2, 沈正松1, 2, 沈绍斌1, 2, 王文雨3, 熊贤坤1, 2, 白丽娜1, 2, 严 炜1, 2*, 刘光华4*.云南木薯藻斑病危害及发生规律调查研究[J].植物保护,2024,50(5):261-266. |
| 云南木薯藻斑病危害及发生规律调查研究 |
| Survey of occurrence damage and regularity of algae spot disease in Yunnan province |
| 投稿时间：2023-09-28 修订日期：2023-12-03 |
| DOI：10.16688/j.zwbh.2023500 |
| 中文关键词: 木薯 藻斑病 危害 发生规律 |
| 英文关键词:cassava algae spot disease damage occurrence regularity |
| 基金项目:国家木薯产业技术体系保山综合试验站（CARS-11-YNLGH）；热带作物生物育种全国重点实验室科研项目（NKLTCB-YAAS-2024-B01）; 云南省技术创新人才培养对象培养项目（202105AD160041）；云南省科技厅农业联合专项（202301BD070001-222）；云南省李开绵专家工作站（202305AF150004） |
| 作者 | 单位 | E-mail | | 段春芳1, 2, 宋记明1, 2, 姜太玲1, 2, 刘 倩1, 2, 李月仙1, 2, 肖明昆1, 2, 沈正松1, 2, 沈绍斌1, 2, 王文雨3, 熊贤坤1, 2, 白丽娜1, 2, 严 炜1, 2*, 刘光华4* | 1. 云南省农业科学院热带亚热带经济作物研究所, 保山 678000
2. 热带作物生物育种全国重点实验室, 昆明 650205
3. 云南省保山市隆阳区气象局, 保山 678000
4. 云南省农业科学院国际农业研究所, 昆明 650205 | 严炜rjsyanwei@163.com；刘光华rjslgh@vip.126.com |
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| 中文摘要: |
| 近年来, 藻斑病已经成为云南地区木薯生产中的重要病害。为明确当地木薯藻斑病危害情况并初步阐明其流行规律, 对云南省保山市木薯藻斑病田间危害进行了系统调查, 并对病情指数和主要气候因子进行了相关性分析。结果表明, 126份木薯种质均受藻斑病危害, ‘华南124’‘南植188’‘南植199’等主栽品种均受害, 病情指数均在30以上。病害流行规律研究结果得出藻斑病可于8月中下旬开始发生, 流行高峰期在11月下旬或12月上旬, 对藻斑病病情指数与病害流行月均温度、日均温差、湿度进行相关性分析, 得到回归方程式Y=38.609 6-2.103 3X1-0.517 5X2+0.325X3, 表明月均温度、日均温差和湿度是影响藻斑病病害流行的主要因素, 且与月均温度和日均温差成负相关, 与湿度成正相关。 |
| 英文摘要: |
| During recent years, algae spot disease has becoming one of the major diseases for the cassava production in China. In order to effectively prevent algae spot disease in local cassava area, this article systematically investigated the occurrence of algae spot disease and monthly average temperature, daily average temperature difference and field humidity in Lujiang, Baoshan City, and revealed the incidence of algae spot disease and the epidemic factors. The results showed that all the 126 cassava germplasm were damaged by algae spot disease. The major cassava cultivars, such as ‘Huanan 124’ ‘Nanzhi 188’ and ‘Nanzhi 199’, were found sensitive to the disease, with the disease index of more than 30. The epidemic rule results showed that the occurrence of the disease in this area begins in mid to late August, with its peak from late November to early December. The fitting analysis results showed that monthly average temperature, daily average temperature difference and humidity significantly affected the disease severity, which fit the nonlinear regression equation Y=38.609 6-2.103 3X1-0.517 5X2+0.325X3, indicating that the severity of algae spot disease were negatively correlated with monthly average temperature and daily average temperature difference, but positively correlated with humidity. |
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