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用于评估甜菜立枯丝核菌根腐病严重程度的遥感技术

Remote Sensing for Assessing Rhizoctonia Crown and Root Rot Severity in Sugar Beet.

作者信息

Reynolds Gregory J, Windels Carol E, MacRae Ian V, Laguette Soizik

机构信息

Department of Plant Pathology, University of California, Davis 95616.

Department of Plant Pathology and Northwest Research and Outreach Center.

出版信息

Plant Dis. 2012 Apr;96(4):497-505. doi: 10.1094/PDIS-11-10-0831.

DOI:10.1094/PDIS-11-10-0831
PMID:30727449
Abstract

Rhizoctonia crown and root rot (RCRR), caused by Rhizoctonia solani AG-2-2, is an increasingly important disease of sugar beet in Minnesota and North Dakota. Disease ratings are based on subjective, visual estimates of root rot severity (0-to-7 scale, where 0 = healthy and 7 = 100% rotted, foliage dead). Remote sensing was evaluated as an alternative method to assess RCRR. Field plots of sugar beet were inoculated with R. solani AG 2-2 IIIB at different inoculum densities at the 10-leaf stage in 2008 and 2009. Data were collected for (i) hyperspectral reflectance from the sugar beet canopy and (ii) visual ratings of RCRR in 2008 at 2, 4, 6, and 8 weeks after inoculation (WAI) and in 2009 at 2, 3, 5, and 9 WAI. Green, red, and near-infrared reflectance and several calculated narrowband and wideband vegetation indices (VIs) were correlated with visual RCRR ratings, and all resulted in strong nonlinear regressions. Values of VIs were constant until at least 26 to 50% of the root surface was rotted (RCRR = 4, wilting of foliage starting to develop) and then decreased significantly as RCRR ratings increased and plants began dying. RCRR also was detected using airborne, color-infrared imagery at 0.25- and 1-m resolution. Remote sensing can detect RCRR but not before initial appearance of foliar symptoms.

摘要

由立枯丝核菌AG-2-2引起的丝核菌冠腐病和根腐病(RCRR),在明尼苏达州和北达科他州已成为甜菜日益重要的病害。病害评级基于对根腐严重程度的主观视觉估计(0至7级,其中0 = 健康,7 = 100%腐烂,叶片死亡)。遥感技术被评估为一种评估RCRR的替代方法。2008年和2009年,在甜菜10叶期以不同接种密度用立枯丝核菌AG 2-2 IIIB对田间小区进行接种。收集了以下数据:(i)甜菜冠层的高光谱反射率,以及(ii)2008年接种后2、4、6和8周(WAI)以及2009年接种后2、3、5和9周的RCRR视觉评级。绿色、红色和近红外反射率以及几个计算得出的窄带和宽带植被指数(VIs)与RCRR视觉评级相关,所有这些都产生了很强的非线性回归。在至少26%至50%的根表面腐烂(RCRR = 4,叶片开始出现萎蔫)之前,VIs值保持不变,然后随着RCRR评级增加和植株开始死亡而显著下降。还使用了分辨率为0.25米和1米的航空彩色红外图像检测RCRR。遥感技术可以检测到RCRR,但在叶片症状最初出现之前无法检测到。

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