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无人机遥感监测小麦条锈病初探 总被引:5,自引:0,他引:5
由条形柄锈菌小麦专化型(Puccinia striiformisf.sp.tritici)引起的小麦条锈病是我国重要的小麦病害之一,该病害是一种气传病害,在适宜条件下能够在短时间内大规模流行成灾[1].近年来,应用遥感技术进行植物病害监测的研究逐渐增多.Nilsson[2]综述了遥感技术在植物病害防控中的应用,认为多光谱测量、热红外、数码摄像、雷达、短波、激光、卫星等多种遥感监测技术,在植物病害和植物病害测量中具有很大潜力.无人机遥感也是遥感监测技术的重要组成部分,与一般的航空遥感相比,其具有成本低、分辨率高、受天气条件影响小的特点. 相似文献
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小麦条锈病菌和白粉病菌多重TaqMan Real-time PCR方法的建立 总被引:1,自引:0,他引:1
<正>小麦条锈病(Puccinia striiformis f.sp.tritici,Pst)和小麦白粉病(Blumeria graminis f.sp.tritici,Bgt)是我国小麦生产上的重要病害。条锈病主要发生在西北、华北、长江中下游和西南各省、自治区;白粉病则在西南各省和河南、山东、湖北、江苏、安徽等省发生较重,且西北、东北麦区也日趋严重[1]。条锈病菌依靠夏孢子造成小麦初侵染和再侵染并随气流远距离传播导致大区流行,白粉病菌则依赖于分生孢子或子囊孢子进行初侵染和再侵染。二者作为典型的气传病害,空中的接种体在 相似文献
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陇南小麦条锈病的品种遗传多样性控制 总被引:6,自引:1,他引:6
为实现陇南小麦条锈病持续控制的目标,以遗传多样性为原则,组建以提高生产品种抗条锈基因丰富度、在锈菌越夏区和越冬区进行基因布局和持久抗性、慢条锈性、高温成株抗性等多种抗性利用为主要内容的控制技术体系。利用Yr10、Yr12、Yr13、Yr16、Yr26、YrC591等有效抗条锈基因的载体品种、Flinor 等持久抗性品种及中四等其它抗源材料育成一批综合性状优良、具有不同遗传背景的抗病品种和类型,其中2004年以来育成的10个品种产量性状有明显提高,在区域试验中较对照增产7.3%~28.9%。陇南小麦条锈病的控制已进入一个新阶段。 相似文献
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平凉地区小麦条锈病预测方法的探讨 总被引:3,自引:1,他引:3
据科研、测报部门多年的研究和观测,平凉地区小麦条锈病的发生流行有以下特点:(1)条锈菌主要在自生麦苗和晚熟冬春小麦上越夏,越夏数量与7月中旬至8月下旬五旬气温之和呈负相关,气温越高、越夏菌量越少,若五旬气温之和超过100℃,锈菌则难以越夏;(2)当秋播冬麦出苗后,条锈菌即行侵染,经增殖、扩散传播到陕西等其他冬麦区;(3)小麦条锈菌在本区域可以越冬,越冬数量取决于冬前菌量和冬季降雪情况。如果秋苗发病严重,冬季降雪早、积雪时间长,越冬菌量就多;反之,越冬菌量就少;(4)春季条 相似文献
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甘肃省小麦条锈病周期流行规律及其预测方法的初步探讨 总被引:5,自引:0,他引:5
在以往小麦条锈病周年侵染循环研究的基础上,进一步探讨了全省小麦条锈病周期流行规律,组建了6年周期的灰色灾变预测模型GM (1,1):ŷ=496.8e0.4353k-414.4,则可预测出周期内小麦条锈病流行程度和流行面积的理论值。在以往中短期预测研究的基础上,采用工作为校正系数,通过模糊数学综合评价模型(y=ŷ·x),则可预测出周期内各年度的实际流行程度和流行面积。 相似文献
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通过对南充市小麦条锈病1999年以来共16年的发生流行分析,明确了小麦条锈病在本市的发生流行趋势,即病害始见期越早,发生越重。其流行特点是在本地小麦条锈菌有两次传入侵染高峰期。第1次外来菌源大范围传入对病害流行起着关键作用,在田间存在1~3个流行高峰期;近16年,条锈病有13年在全市偏重至大发生,偏重至大发生频率达81.25%,比1995年以前,重发频率高50百分点以上,轻发生只有2013年1年,仅占6.3%。说明条锈病已完全处于重发流行之态势。经对其成因探讨认为,导致本市近年小麦条锈病重发及流行的内因是品种抗条锈能力的降低或丧失。造成小麦品种抗性丧失的直接原因是条锈菌新生理小种致病性强,且已上升为主要小种,并继续保持为优势小种。暖冬和春季天气波动幅度大,雾、露日偏多直接造成了条锈病的大流行。 相似文献
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云南省小麦条锈病流行体系的研究现状 总被引:8,自引:0,他引:8
对云南省小麦条锈病的发生危害、流行特点、条锈菌越夏规律、品种及小种变异、环境因素等流行体系作 了较为详细的叙述,并针对各个环节提出综合防治策略。 相似文献
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ABSTRACT Stripe rust is one of the most important diseases of wheat and barley worldwide. On wheat it is caused by Puccinia striiformis f. sp. tritici and on barley by P. striiformis f. sp. hordei Most wheat genotypes are resistant to P. striiformis f. sp. hordei and most barley genotypes are resistant to P. striiformis f. sp. tritici. To determine the genetics of resistance in wheat to P. striiformis f. sp. hordei, crosses were made between wheat genotypes Lemhi (resistant to P. striiformis f. sp. hordei) and PI 478214 (susceptible to P. striiformis f. sp. hordei). The greenhouse seedling test of 150 F(2) progeny from the Lemhi x PI 478214 cross, inoculated with race PSH-14 of P. striiformis f. sp. hordei, indicated that Lemhi has a dominant resistance gene. The single dominant gene was confirmed by testing seedlings of the F(1), BC(1) to the two parents, and 150 F(3) lines from the F(2) plants with the same race. The tests of the F(1), BC(1), and F(3) progeny with race PSH-48 of P. striiformis f. sp. hordei and PST-21 of P. striiformis f. sp. tritici also showed a dominant gene for resistance to these races. Cosegregation analyses of the F(3) data from the tests with the two races of P. striiformis f. sp. hordei and one race of P. striiformis f. sp. tritici suggested that the same gene conferred the resistance to both races of P. striiformis f. sp. hordei, and this gene was different but closely linked to Yr21, a previously reported gene in Lemhi conferring resistance to race PST-21 of P. striiformis f. sp. tritici. A linkage group consisting of 11 resistance gene analog polymorphism (RGAP) markers was established for the genes. The gene was confirmed to be on chromosome 1B by amplification of a set of nullitetrasomic Chinese Spring lines with an RGAP marker linked in repulsion with the resistance allele. The genetic information obtained from this study is useful in understanding interactions between inappropriate hosts and pathogens. The gene identified in Lemhi for resistance to P. striiformis f. sp. hordei should provide resistance to barley stripe rust when introgressed into barley cultivars. 相似文献
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利用判别分析方法预测小麦条锈病 总被引:2,自引:0,他引:2
以四川马尔康、甘肃天水两地1988-2000年小麦条锈病发生情况和期间的气象资料数据为基础,利用判别分析方法对小麦条锈病的发生程度进行预测,建立了判别函数,四川马尔康、甘肃天水数据资料回代检验错分率分别为0、0.153 8,交叉验证错分率分别为0.230 8、0.307 7。四川马尔康回代准确率为100%,交叉验证准确率81.82%;甘肃天水回代准确率为87.88%,交叉验证准确率为78.79%。可利用该方法作为小麦条锈病预测预报的参考,以指导小麦生产。 相似文献
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小麦由水分胁迫诱导的抗条锈性 总被引:1,自引:0,他引:1
以一批在条锈病流行条件下具有保产能力的"耐病"品种和典型感病的小麦品种为试材,研究了病株水分关系的变化。结果发现,这些"耐病"品种具有水分胁迫所诱导的抗病性。在正常水分条件下呈亲和反应,但在水分胁迫时逆转为不亲和反应。病叶蒸腾作用在初期有轻微升高,其后病叶蒸腾速率、叶片扩散阻力、相对含水量和水势渐趋健叶水平,并具有较健叶更低的渗透势和更高的压力势,保持了有效的水分调控能力。而感病品种在水分胁迫时,病叶蒸腾速率急剧升高,叶片扩散阻力、相对含水量、水势、压力势和渗透势大幅降低,完全丧失了控制水分散失和维持水分平衡的能力。 相似文献
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ABSTRACT Controversy has long existed over whether plant disease epidemics spread with constant or with increasing velocity. We conducted largescale field experiments with wheat stripe rust at Madras and Hermiston, Oregon, where natural stripe rust epidemics were rare, to test these competing models. Data from three location-years were available for analysis. A susceptible winter wheat cultivar was planted in pure stand and also in a 1:4 or 1:1 mixture with a cultivar immune to the stripe rust race utilized in the experiments. Plots were 6.1 m wide and varied from 73 to 171 m in length. A 1.5 by 1.5-m focus was inoculated in either the center (2001) or upwind of the center (2002 and 2003) of each plot. Disease severity was evaluated weekly throughout the epidemics in each plot at the same points along a transect running upwind and downwind from the focus. Velocity of spread was calculated from the severity data and regressed separately on time and on distance from the focus. In all location-years and treatments, and at all levels of disease severity, velocity consistently increased linearly with distance, at an average rate of 0.59 m/week per m, and exponentially with time. Further, across epidemics there was a significant positive relationship between the apparent infection rate, r, and the rate of velocity increase in both space and time. These findings have important implications for plant diseases with a focal or partially focal character, and in particular for the effectiveness of ratereducing disease management strategies at different spatial scales. 相似文献
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