巴基斯坦吉尔吉特-巴尔蒂斯坦纳加尔地区杏树笋孔病及其影响因素地统计学分析

Q4 Agricultural and Biological Sciences
Muhammad Muhammad, A. Hussain, Sartaj Ali, W. Akram, Ishrat Roomi, F. Faiz, Iqbal Hussain
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引用次数: 0

摘要

杏(Prunus armeniaca L.)是最常见的高收入生产性水果,因此在该地区的社会经济增长中起着重要作用。然而,杏易受几种疾病和害虫的影响,这些疾病和害虫会导致产量下降和重大经济损失,其中包括由多食性真菌Wilsonomyces carpophilus引起的杏笋孔病,对核果,特别是杏树造成严重威胁。本研究采用描述性统计和地质统计学方法对巴基斯坦吉尔吉特-巴尔蒂斯坦纳加尔地区杏树斑疹病(5个山谷、30个果园和480棵杏树)的地理分布进行了评价。从每棵杏树上随机抽取150个杏果,共72000个,评估发病率、病害指数和严重程度。结果表明,该病害在研究区内具有一定的空间分布,在山谷和果园中均有分布。患病率50.0% ~ 67.70%,发病率56.97 ~ 64.01%,指数32.49 ~ 40.56%,平均严重程度0.21 ~ 0.24%。利用地质统计学技术预测空间依赖等级。结果表明,疾病患病率的块基/基比为0.915,空间依赖性较弱,而发病率、疾病指数和严重程度的块基/基比分别为0.479、0.628和0.393,空间依赖性中等。通过球形半变异函数模型、趋势分析图和GIS图,揭示了该地区杏笋孔病的空间分布特征。这一信息与气象数据(温度、降水和相对湿度)相关联,似乎有利于杏在生育期的龋病发展。评价杏空穴病田间监测空间分布的地统计填图策略,将为病害管理、抗病品种选育和杏园卫生条件改善提供决策支持。持续的气候和虫害监测对于为农民和其他农业组织建立有效的疾病预警系统以预防未来的植物流行病至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geostatistical Analysis of Apricot Shot Hole Disease and Influence Factors in District Nagar, Gilgit-Baltistan, Pakistan
Apricot (Prunus armeniaca L.) is the most common, high-income generative fruit and consequently plays an important part in the region's socio-economic growth. However, apricots are susceptible to several diseases and pests that cause lower yields and significant financial losses, including apricot shot hole disease brought on by Wilsonomyces carpophilus, a polyphagous fungus, creates a serious threat to stone fruits, particularly the apricot tree. The current study used descriptive statistics and geostatistical approaches to evaluate the geographical distribution of the apricot shot hole disease (5 valleys, 30 orchards, and 480 apricot trees) in district Nagar, Gilgit-Baltistan, Pakistan. From each apricot tree, 150 apricot fruits, a total of 72,000, were randomly selected to assess the incidence, disease index, and severity. Results revealed that the disease is spatially distributed within the study area, varying within valleys and orchards. The range of disease prevalence was 50.0-67.70%, incidence 56.97-64.01%, index 32.49-40.56% and mean severity 0.21-0.24%. Geostatistical techniques were used to predict the spatial dependency class. Results revealed that disease prevalence had a nugget/sill ratio of 0.915, inferring weak spatial dependence, whereas incidence, disease index, and severity inferred moderate spatial dependence with nugget/sill ratios of 0.479, 0.628, and 0.393, respectively. Moreover, the spherical semivariogram model, trend analysis graph, and GIS maps indicate the region's spatial distribution of apricot shot hole disease. This information linked to metrological data (temperature, precipitation, and relative humidity) seemingly favored the apricot shot hole disease development during the growing period. Evaluation of geostatistical mapping strategies in monitoring spatial distributions of apricot shot hole disease in a field setting will improve the decision support for disease management, selection of resistant variety, and improve sanitation condition of apricot orchards. Continuous climate and pest monitoring are essential for creating an efficient disease warning system for farmers and other organizations involved in agriculture to prevent future plant epidemics.
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来源期刊
International Journal of Phytopathology
International Journal of Phytopathology Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
1.20
自引率
0.00%
发文量
11
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