Zhu Yuhang, Yao Kaikai, Ma Miaomiao, Cui Yongliang, Xu Jing, Chen Wen, Yang Rui, Wu Cuiping, Gong Guoshu
Plant Protection Department, College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China.
Sichuan Provincial Academy of Natural Resource Sciences, Chengdu 610041, China.
J Fungi (Basel). 2023 Aug 31;9(9):899. doi: 10.3390/jof9090899.
Kiwifruit brown spot caused by is the most significant fungal disease in Sichuan, resulting in premature defoliation, which had a significant impact on yield and fruit quality. The objective of the study was to determine the occurrence regularity and suitability of kiwifruit brown spot in Sichuan. The occurrence of the disease in the main producing region was continuously monitored, the maximum entropy (MaxEnt) model was used to predict its potential distribution, and the key environmental variables were identified using the jackknife method. The results indicated that kiwifruit brown spot was widely distributed across the entire producing region in Sichuan, predominantly affecting the variety "Hongyang". The incidence ( < 0.01) and disease index ( < 0.05) showed a significant positive correlation with the cultivar, and decreased with the altitude increasing. The average area under the ROC curve (AUC) of 10 replicates was 0.933 ± 0.012, with an accuracy of 84.44% in a field test, confirming the reliability of the predicted results. The highly suitable distribution areas of kiwifruit brown spot were mainly located in the Chengdu and Ya'an regions. The entire Panzhihua region was an unsuitable distribution area, and the entire Pujiang County and Mingshan District were highly suitable distribution areas. The key environmental variables affecting the potential distribution of kiwifruit brown spot included isothermality (24.3-33.7%), minimum temperature in August (16.3-23.6 °C), maximum temperature in July (25.5-31.2 °C), minimum temperature in June (15.6-20.9 °C), precipitation in August (158-430 mm), and average temperature in October (15.6-18.8 °C). This study provides a theoretical basis for the reasonable layout of the cultivar and the precise prevention and control of the disease.
由[具体病原体未给出]引起的猕猴桃褐斑病是四川最严重的真菌病害,导致叶片过早脱落,对产量和果实品质产生重大影响。本研究的目的是确定四川猕猴桃褐斑病的发生规律和适宜性。对主产区该病的发生情况进行持续监测,利用最大熵(MaxEnt)模型预测其潜在分布,并采用刀切法确定关键环境变量。结果表明,猕猴桃褐斑病在四川整个产区广泛分布,主要影响“红阳”品种。发病率(<0.01)和病情指数(<0.05)与品种呈显著正相关,且随海拔升高而降低。10次重复的平均ROC曲线下面积(AUC)为0.933±0.012,田间试验准确率为84.44%,证实了预测结果的可靠性。猕猴桃褐斑病的高度适宜分布区主要位于成都和雅安地区。整个攀枝花地区为不适宜分布区,整个蒲江县和名山区为高度适宜分布区。影响猕猴桃褐斑病潜在分布的关键环境变量包括等温性(24.3 - 33.7%)、8月最低温度(16.3 - 23.6℃)、7月最高温度(25.5 - 31.2℃)、6月最低温度(15.6 - 20.9℃)、8月降水量(158 - 430毫米)和10月平均温度(15.6 - 18.8℃)。本研究为品种合理布局和病害精准防控提供了理论依据。