柑橘黄龙病菌PCR阳性病株空间分布格局与参数特征应用研究
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摘要
为了揭示浙江柑橘黄龙病菌PCR阳性病株空间分布信息和染病特征,2017—2018年对7个柑橘黄龙病发生样地2 900株橘树进行黄龙病菌PCR检测,按10株1样方取得290组样本资料,应用聚集度指标法对其空间分布型进行数据测定,结果达到C>1、I>0、K>0、C_A>0、■,均为聚集分布格局,表明柑橘黄龙病菌PCR阳性病株田间分布趋向聚集分布。经Iwao的M~*-线性模型回归检验表明,柑橘黄龙病菌PCR阳性病株空间分布的基本成分是个体群,病株间相互吸引,表现有明显的发病中心;经Taylor的■幂法则模型检验分析表明,黄龙病菌阳性病株的空间分布具有密度依赖性,阳性病株密度越高越趋向聚集分布,即聚集强度随阳性率上升而增强。其理论抽样数模型为■及序贯抽样公式为T_n=1.6976/[D■+0.9296/n]。应用这些参数特征对提高田间柑橘黄龙病早期预警效率和决策防控具有良好的指导意义。
In order to reveal the spatial distribution and infection characteristics of PCR positive strains of Citrus Huanglongbing in Zhejiang Province, PCR method was used to sample and detect 2 900 orange trees scattered in 7 different locations where Citrus Huanglongbing occurred during the year 2017 and 2018. Ten strains were clustered as a group, 290 groups of sample data were obtained. The spatial distribution pattern of Citrus Huanglongbing was determined by aggregation index method. The results showed that ■, were aggregation distribution patterns, indicating that the distribution of Citrus Huanglongbing PCR-positive plants tended to aggregation distribution. The regression test of Iwao'■ linear model indicated that the basic components of spatial distribution of Citrus Huanglongbing PCR-positive plants were individual groups. The PCR-positive plants attract to each other, thus making a clear distributive focus of diseases in the citrus orchard. The analysis of Taylor'■ power law model showed the spatial distribution to be density-dependent, the higher the density of positive plants, the more tendency to aggregate distribution, meaning the intensity of aggregation increases with growing positive rate. The theoretical sampling model was ■, while the sequential sampling formula was Tn=1.6976/[D■+0.9296/n]. The application of these parameters was of great significance in improving monitoring efficiency and early-warning of Citrus Huanglongbing, as well as making control decisions.
In order to reveal the spatial distribution and infection characteristics of PCR positive strains of Citrus Huanglongbing in Zhejiang Province, PCR method was used to sample and detect 2 900 orange trees scattered in 7 different locations where Citrus Huanglongbing occurred during the year 2017 and 2018. Ten strains were clustered as a group, 290 groups of sample data were obtained. The spatial distribution pattern of Citrus Huanglongbing was determined by aggregation index method. The results showed that ■, were aggregation distribution patterns, indicating that the distribution of Citrus Huanglongbing PCR-positive plants tended to aggregation distribution. The regression test of Iwao'■ linear model indicated that the basic components of spatial distribution of Citrus Huanglongbing PCR-positive plants were individual groups. The PCR-positive plants attract to each other, thus making a clear distributive focus of diseases in the citrus orchard. The analysis of Taylor'■ power law model showed the spatial distribution to be density-dependent, the higher the density of positive plants, the more tendency to aggregate distribution, meaning the intensity of aggregation increases with growing positive rate. The theoretical sampling model was ■, while the sequential sampling formula was Tn=1.6976/[D■+0.9296/n]. The application of these parameters was of great significance in improving monitoring efficiency and early-warning of Citrus Huanglongbing, as well as making control decisions.
引文
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[6] 林雄杰, 范国成, 胡菡青, 等. 福建温州蜜柑表现典型“红鼻果”症状[J]. 福建果树, 2012(4): 26-27.LIN X J, FAN G C, HU H Q, et al. The typical symptoms of "red nose fruit" in Fujian Wenzhou tangerine[J]. Fujian Fruits, 2012(4): 26-27.(in Chinese)
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[8] 汪恩国, 李达林. 柑橘黄龙病疫情监测与防控技术研究[J]. 中国农学通报, 2012,28(4): 278-282.WANG E G, LI D L. Study on monitoring and control technology of Citrus Huanglongbing in citrus orchards[J]. Chinese Agricultural Science Bulletin, 2012,28(4): 278-282.(in Chinese with English abstract)
[9] 汪恩国, 钟列权, 明珂, 等. 柑橘黄龙病疫情运动规律与预警模型研究[J]. 浙江农业学报, 2014,26(4): 994-998. WANG E G, ZHONG L Q, MING K, et al. Research on movement rule and early warning model of citrus huanglongbing[J]. Acta Agriculturae Zhejiangensis, 2014,26(4): 994-998.(in Chinese with English abstract)
[10] 余继华, 汪恩国, 林云彪, 等. 早熟柑橘黄龙病空间格局参数特征及其应用[J]. 中国农学通报, 2011,27(5): 351-355.YU J H, WANG E G, LIN Y B, et al. Characteristics of the parameters of spatial distribution pattern of citrus huanglongbing in premature citrus orchard and their application[J]. Chinese Agricultural Science Bulletin, 2011,27(5): 351-355.(in Chinese with English abstract)
[11] 茹水江,王汉荣,王连平,等.西兰花菌核病空间分布格局及抽样技术研究[J].浙江农业学报,2006,18(2):63-66. RU S j, WANG H r, Wang L p, et al. Spatial distribution pattern and sampling technique for fungal Sclerotinia disease in broccoli fields[J]. Acta Agriculturae Zhejiangensis, 2006, 18(2): 63-66. (in Chinese with English abstract)
[12] 孟幼青,赵琳,林云彪,等.应用PCR检测柑橘黄龙病采样方法研究初报[J].中国南方果树,2006,35(4):20-21.MENG Y Q, ZHAO L, LIN Y B, et al. Preliminary Study on Detection of Citrus Huanglongbing by PCR[J]. South China Fruits, 2006, 35(4): 20-21.(in Chinese with English abstract)
[2] GRAFTON-CARDWELL E E, STELINSKI L L, STANSLY P A. Biology and management of Asian citrus psyllid, vector of the huanglongbing pathogens[J]. Annual Review of Entomology, 2013, 58(1): 413-432.
[3] GOTTWALD T R, DA GRA?A J V, BASSANEZI R B. Citrus huanglongbing: the pathogen and its impact[J]. Plant Health Progress, 2007, 8(1): 31.
[4] 谢钟琛, 李健, 施清, 等. 福建省柑橘黄龙病危害及其流行规律研究[J]. 中国农业科学, 2009, 42(11): 3888-3897. XIE Z C, LI J, SHI Q, et al. Damage and epidemics of citrus huanglongbing in Fujian province[J]. Scientia Agricultura Sinica, 2009, 42(11): 3888-3897.(in Chinese with English abstract)
[5] 余继华, 汪恩国, 赵琳. 柑橘黄龙病空间分布型与抽样技术研究[J]. 植物检疫, 2010, 24(5): 31-34.YU J H, WANG E G, ZHAO L. Study on spatial distribution pattern and sampling technique of citrus huanglongbing in citrus orchards[J]. Plant Quarantine, 2010, 24(5): 31-34.(in Chinese with English abstract)
[6] 林雄杰, 范国成, 胡菡青, 等. 福建温州蜜柑表现典型“红鼻果”症状[J]. 福建果树, 2012(4): 26-27.LIN X J, FAN G C, HU H Q, et al. The typical symptoms of "red nose fruit" in Fujian Wenzhou tangerine[J]. Fujian Fruits, 2012(4): 26-27.(in Chinese)
[7] 唐铁京. 柑橘黄龙病诊断和防控策略探讨[J]. 中国热带农业, 2013(4): 40-41.TANG T J. Diagnosis and control strategy of Citrus Huanglong disease[J]. China Tropical Agriculture, 2013(4): 40-41.(in Chinese)
[8] 汪恩国, 李达林. 柑橘黄龙病疫情监测与防控技术研究[J]. 中国农学通报, 2012,28(4): 278-282.WANG E G, LI D L. Study on monitoring and control technology of Citrus Huanglongbing in citrus orchards[J]. Chinese Agricultural Science Bulletin, 2012,28(4): 278-282.(in Chinese with English abstract)
[9] 汪恩国, 钟列权, 明珂, 等. 柑橘黄龙病疫情运动规律与预警模型研究[J]. 浙江农业学报, 2014,26(4): 994-998. WANG E G, ZHONG L Q, MING K, et al. Research on movement rule and early warning model of citrus huanglongbing[J]. Acta Agriculturae Zhejiangensis, 2014,26(4): 994-998.(in Chinese with English abstract)
[10] 余继华, 汪恩国, 林云彪, 等. 早熟柑橘黄龙病空间格局参数特征及其应用[J]. 中国农学通报, 2011,27(5): 351-355.YU J H, WANG E G, LIN Y B, et al. Characteristics of the parameters of spatial distribution pattern of citrus huanglongbing in premature citrus orchard and their application[J]. Chinese Agricultural Science Bulletin, 2011,27(5): 351-355.(in Chinese with English abstract)
[11] 茹水江,王汉荣,王连平,等.西兰花菌核病空间分布格局及抽样技术研究[J].浙江农业学报,2006,18(2):63-66. RU S j, WANG H r, Wang L p, et al. Spatial distribution pattern and sampling technique for fungal Sclerotinia disease in broccoli fields[J]. Acta Agriculturae Zhejiangensis, 2006, 18(2): 63-66. (in Chinese with English abstract)
[12] 孟幼青,赵琳,林云彪,等.应用PCR检测柑橘黄龙病采样方法研究初报[J].中国南方果树,2006,35(4):20-21.MENG Y Q, ZHAO L, LIN Y B, et al. Preliminary Study on Detection of Citrus Huanglongbing by PCR[J]. South China Fruits, 2006, 35(4): 20-21.(in Chinese with English abstract)