[Objectives]This study was conducted to clarify the species composition of pathogens causing leaf spot disease in yellow peach in Loudi area of Hunan Province and to screen effective control agents.[Methods]Twenty lea...[Objectives]This study was conducted to clarify the species composition of pathogens causing leaf spot disease in yellow peach in Loudi area of Hunan Province and to screen effective control agents.[Methods]Twenty leaf spot samples were collected from yellow peach planting bases in Lengshuijiang and Shuangjiang,Loudi City.Two isolates were obtained through tissue isolation and purification.Identification was performed based on morphological characteristics combined with rDNA-ITS and Bt-2a gene sequence analysis and pathogenicity assay.[Results]The pathogen causing yellow peach leaf spot in this area was Botryosphaeria dothidea.[Conclusions]This study provides a reference basis for the prevention and control of yellow peach leaf spot in Loudi area.展开更多
Botryosphaeria laricina(larch shoot blight)was first identified in 1973 in Jilin Province,China.The disease spread rapidly and caused considerable damage because its pathogenesis was unknown at the time and there were...Botryosphaeria laricina(larch shoot blight)was first identified in 1973 in Jilin Province,China.The disease spread rapidly and caused considerable damage because its pathogenesis was unknown at the time and there were no effective controls or quarantine methods.At present,it shows a spreading trend,but most research can only conduct physiological analyses within a relatively short period,combining individual influencing factors.Nevertheless,methods such as neural network models,ensemble learning algorithms,and Markov models are used in pest and disease prediction and forecasting.However,there may be fitting issues or inherent limitations associated with these methods.This study obtained B.laricina data at the county level from 2003 to 2021.The dataset was augmented using the SMOTE algorithm,and then algorithms such as XGBoost were used to select the significant features from a combined set of 12 features.A new stacking fusion model has been proposed to predict the status of B.laricina.The model is based on random forest,gradient boosted decision tree,CatBoost and logistic regression algorithms.The accuracy,recall,specificity,precision,F_(1) value and AUC of the model reached 90.9%,91.6%,90.4%,88.8%,90.2%and 96.2%.The results provide evidence of the strong performance and stability of the model.B.laricina is mainly found in the northeast and this study indicates that it is spreading northwest.Reasonable means should be used promptly to prevent further damage and spread.展开更多
[ Objective ] The study aimed to explore the release conditions for the conidia of Botryosphaena berengeriana and understand the release dynamic of conidia. [Method] The systematical survey on the release conditions f...[ Objective ] The study aimed to explore the release conditions for the conidia of Botryosphaena berengeriana and understand the release dynamic of conidia. [Method] The systematical survey on the release conditions for the conidia of B. berengeriana were conducted in two growing seasons in 2008 and 2009, combined with the collection of meteorological data around conidia release period, the weather conditions causing large amount release of B. berengedana were analyzed. [ Result] During a growing season, the conidia of pathogen appeared several large release peaks. Under the suitable temperature, when the precipitation lasted for 4 h, the conidia of B. berengeriana began to release with large amount, the amount of conidia reached the peak after release and trended to be stable during 4 - 12 h, which significantly reduced after 24 h, tended to dis- appear after 36 h, and completely disappeared after 72 h. [Conclusion] The dominant factor affecting B. berengeriana conidia release in large a- mount was precipitation, while the lasting time of precipitation played a decisive role.展开更多
[Objective] The aim was to understand defense mechanism of pear after inoculated Botryosphaeria berengeriana f. sp. piricolan and mechanism of antioxidant enzymes of biocontrol bacteria. [Method] Pears were treated by...[Objective] The aim was to understand defense mechanism of pear after inoculated Botryosphaeria berengeriana f. sp. piricolan and mechanism of antioxidant enzymes of biocontrol bacteria. [Method] Pears were treated by Botryosphaeria berengeriana f. sp. piricolan and bio control bacteria, and the change of antioxidant enzymes were determined. [Result] The biocontrol bacteria had little effect on MDA;the content of MDA treated by B. berengeriana reached high peak in 48 h, was 10.22nmol/g which was 1.86 times of CK; the content of MDA treated by B. berengeriana and biocontrol bacteria reached high peak in 24 h, was 8.92 nmol/g which was1.62 times of CK. The content of SOD treated by biocontrol bacteria reached high peak in 48 h, was 126.69 U/[g（FW）·min] which was 1.54 times of CK; the contents of SOD treated by B. berengeriana as well as B. berengeriana and biocontrol bacteria reached high peak in 24 h, were 122.10 and 135.32 U/[g（FW）·min] which were 1.48 and 1.65 times of CK respectively; the contents of POD on biocontrol bacteria treatment, B. ana treatment as well as B. berengeriana and biocontrol bacteria treatment reached high peak in 24 h, were 385.34, 342.50 and 290.00 U/[g（FW）·min] which were 1.83, 1.62 and 1.38 times of CK respectively. The contents of CAT on biocontrol bacteria treatment, B. rengeriana treatment as well as B. berengeriana and biocontrol bacteria treatment reached high peak in 6 h, were 133.33,114.17 and 113.35 U/[g（FW）·min] which were 1.33, 1.14 and 1.13 times of CK respectively. The biocontrol bacteria had little difference in CK; the content of PPO of B. berengeriana treatment reached high peak in 12 h, was 81.86 U/[g（FW）·min]which was 1.76 times of CK; B. berengeriana and biocontrol bacteria treatment reached high peak in 24 h, was 70.00 U/[g（FW）·min] which was 1.50 times of CK.[Conclusion] B. berengeriana and biocontrol bacteria had more effect on MDA; both B. berengeriana and biocontrol bacteria could increase the excitation of SOD enzyme activity; both B. berengeriana and biocontrol bacteria could increase the excitation of POD enzyme activity; both B. berengeriana and biocontrol bacteria could increase the excitation of CAT enzyme activity; using biocontrol bacteria alone had not obvious effect on PPO, B. berengeriana could increase the excitation of PPO enzyme activity.展开更多
【目的】为了明确苹果轮纹病的病原葡萄座腔菌(Botryosphaeria dothidea(Moug.)Ces.et De Not.)的有性生殖阶段在我国是否发生及在我国苹果主产区的发生情况,【方法】2011年10月至2012年11月,对我国山东等8个苹果主产省市的38个果园进...【目的】为了明确苹果轮纹病的病原葡萄座腔菌(Botryosphaeria dothidea(Moug.)Ces.et De Not.)的有性生殖阶段在我国是否发生及在我国苹果主产区的发生情况,【方法】2011年10月至2012年11月,对我国山东等8个苹果主产省市的38个果园进行了调查与采样,对田间发现的子囊孢子通过形态观察、ITS序列的比对进行种类鉴定,并对子囊孢子进行了致病性测定。【结果】在北京、山东、河南、河北、陕西、山西和辽宁7个省市的20个果园的干腐型枯枝上发现了葡萄座腔菌的有性阶段,占调查省份的87.5%,占调查果园的52.6%;致病性测定结果显示,枯枝上形成的葡萄座腔菌的子囊孢子不仅可侵染苹果果实引起果腐,而且可侵染苹果枝条引起枝干溃疡。【结论】葡萄座腔菌的有性生殖在我国苹果主产区果园中发生普遍,子囊孢子不仅是葡萄座腔菌的一种越冬方式,也可以成为引起苹果轮纹病发生的初侵染源,在今后的轮纹病防治中,加强对苹果轮纹病田间干腐型枯枝的处理,将有助于提高病害防治效果。展开更多
基金Supported by Natural Science Foundation of Hunan Province(2024JJ72572025JJ70341)+1 种基金Research and Innovation Project of Hunan University of Humanities,Science and Technology(ZSCX2024Y11)Undergraduate Innovation and Entrepreneurship Training Program(S202410553043).
文摘[Objectives]This study was conducted to clarify the species composition of pathogens causing leaf spot disease in yellow peach in Loudi area of Hunan Province and to screen effective control agents.[Methods]Twenty leaf spot samples were collected from yellow peach planting bases in Lengshuijiang and Shuangjiang,Loudi City.Two isolates were obtained through tissue isolation and purification.Identification was performed based on morphological characteristics combined with rDNA-ITS and Bt-2a gene sequence analysis and pathogenicity assay.[Results]The pathogen causing yellow peach leaf spot in this area was Botryosphaeria dothidea.[Conclusions]This study provides a reference basis for the prevention and control of yellow peach leaf spot in Loudi area.
基金supported by the National Key R&D Program of China(Grant No.2021YFD1400300).
文摘Botryosphaeria laricina(larch shoot blight)was first identified in 1973 in Jilin Province,China.The disease spread rapidly and caused considerable damage because its pathogenesis was unknown at the time and there were no effective controls or quarantine methods.At present,it shows a spreading trend,but most research can only conduct physiological analyses within a relatively short period,combining individual influencing factors.Nevertheless,methods such as neural network models,ensemble learning algorithms,and Markov models are used in pest and disease prediction and forecasting.However,there may be fitting issues or inherent limitations associated with these methods.This study obtained B.laricina data at the county level from 2003 to 2021.The dataset was augmented using the SMOTE algorithm,and then algorithms such as XGBoost were used to select the significant features from a combined set of 12 features.A new stacking fusion model has been proposed to predict the status of B.laricina.The model is based on random forest,gradient boosted decision tree,CatBoost and logistic regression algorithms.The accuracy,recall,specificity,precision,F_(1) value and AUC of the model reached 90.9%,91.6%,90.4%,88.8%,90.2%and 96.2%.The results provide evidence of the strong performance and stability of the model.B.laricina is mainly found in the northeast and this study indicates that it is spreading northwest.Reasonable means should be used promptly to prevent further damage and spread.
基金Supported by State Apple Industry Technology System Project(nybcytx-08-04-01)~~
文摘[ Objective ] The study aimed to explore the release conditions for the conidia of Botryosphaena berengeriana and understand the release dynamic of conidia. [Method] The systematical survey on the release conditions for the conidia of B. berengeriana were conducted in two growing seasons in 2008 and 2009, combined with the collection of meteorological data around conidia release period, the weather conditions causing large amount release of B. berengedana were analyzed. [ Result] During a growing season, the conidia of pathogen appeared several large release peaks. Under the suitable temperature, when the precipitation lasted for 4 h, the conidia of B. berengeriana began to release with large amount, the amount of conidia reached the peak after release and trended to be stable during 4 - 12 h, which significantly reduced after 24 h, tended to dis- appear after 36 h, and completely disappeared after 72 h. [Conclusion] The dominant factor affecting B. berengeriana conidia release in large a- mount was precipitation, while the lasting time of precipitation played a decisive role.
文摘[Objective] The aim was to understand defense mechanism of pear after inoculated Botryosphaeria berengeriana f. sp. piricolan and mechanism of antioxidant enzymes of biocontrol bacteria. [Method] Pears were treated by Botryosphaeria berengeriana f. sp. piricolan and bio control bacteria, and the change of antioxidant enzymes were determined. [Result] The biocontrol bacteria had little effect on MDA;the content of MDA treated by B. berengeriana reached high peak in 48 h, was 10.22nmol/g which was 1.86 times of CK; the content of MDA treated by B. berengeriana and biocontrol bacteria reached high peak in 24 h, was 8.92 nmol/g which was1.62 times of CK. The content of SOD treated by biocontrol bacteria reached high peak in 48 h, was 126.69 U/[g（FW）·min] which was 1.54 times of CK; the contents of SOD treated by B. berengeriana as well as B. berengeriana and biocontrol bacteria reached high peak in 24 h, were 122.10 and 135.32 U/[g（FW）·min] which were 1.48 and 1.65 times of CK respectively; the contents of POD on biocontrol bacteria treatment, B. ana treatment as well as B. berengeriana and biocontrol bacteria treatment reached high peak in 24 h, were 385.34, 342.50 and 290.00 U/[g（FW）·min] which were 1.83, 1.62 and 1.38 times of CK respectively. The contents of CAT on biocontrol bacteria treatment, B. rengeriana treatment as well as B. berengeriana and biocontrol bacteria treatment reached high peak in 6 h, were 133.33,114.17 and 113.35 U/[g（FW）·min] which were 1.33, 1.14 and 1.13 times of CK respectively. The biocontrol bacteria had little difference in CK; the content of PPO of B. berengeriana treatment reached high peak in 12 h, was 81.86 U/[g（FW）·min]which was 1.76 times of CK; B. berengeriana and biocontrol bacteria treatment reached high peak in 24 h, was 70.00 U/[g（FW）·min] which was 1.50 times of CK.[Conclusion] B. berengeriana and biocontrol bacteria had more effect on MDA; both B. berengeriana and biocontrol bacteria could increase the excitation of SOD enzyme activity; both B. berengeriana and biocontrol bacteria could increase the excitation of POD enzyme activity; both B. berengeriana and biocontrol bacteria could increase the excitation of CAT enzyme activity; using biocontrol bacteria alone had not obvious effect on PPO, B. berengeriana could increase the excitation of PPO enzyme activity.
文摘【目的】为了明确苹果轮纹病的病原葡萄座腔菌(Botryosphaeria dothidea(Moug.)Ces.et De Not.)的有性生殖阶段在我国是否发生及在我国苹果主产区的发生情况,【方法】2011年10月至2012年11月,对我国山东等8个苹果主产省市的38个果园进行了调查与采样,对田间发现的子囊孢子通过形态观察、ITS序列的比对进行种类鉴定,并对子囊孢子进行了致病性测定。【结果】在北京、山东、河南、河北、陕西、山西和辽宁7个省市的20个果园的干腐型枯枝上发现了葡萄座腔菌的有性阶段,占调查省份的87.5%,占调查果园的52.6%;致病性测定结果显示,枯枝上形成的葡萄座腔菌的子囊孢子不仅可侵染苹果果实引起果腐,而且可侵染苹果枝条引起枝干溃疡。【结论】葡萄座腔菌的有性生殖在我国苹果主产区果园中发生普遍,子囊孢子不仅是葡萄座腔菌的一种越冬方式,也可以成为引起苹果轮纹病发生的初侵染源,在今后的轮纹病防治中,加强对苹果轮纹病田间干腐型枯枝的处理,将有助于提高病害防治效果。
