scholarly journals Identification and Severity Determination of Wheat Stripe Rust and Wheat Leaf Rust Based on Hyperspectral Data Acquired Using a Black-Paper-Based Measuring Method

PLoS ONE ◽  
2016 ◽  
Vol 11 (4) ◽  
pp. e0154648 ◽  
Author(s):  
Hui Wang ◽  
Feng Qin ◽  
Liu Ruan ◽  
Rui Wang ◽  
Qi Liu ◽  
...  
1989 ◽  
Vol 67 (11) ◽  
pp. 3420-3425 ◽  
Author(s):  
Matthew J. Dickinson ◽  
A. Pryor

Isolates of Puccinia striiformis (wheat stripe rust), Puccinia recondita (wheat leaf rust), and Puccinia sorghi (maize rust) contain complexes of double-stranded RNA. In each species, there are at least 12 double-stranded RNAs ranging in size from 150 to 5000 base pairs, and the number, size, and quantitative relationships between the double-stranded RNAs are distinctive for a given species. Most, if not all, of the double-stranded RNAs in each species can be extracted from isometric virus-like particles of 40 nm in diameter purified by sucrose and (or) Cs2SO4 gradients. The data indicate that in these three species of Puccinia the double-stranded RNAs are encapsidated in virus-like particles.


2014 ◽  
Vol 50 (No. 4) ◽  
pp. 288-292
Author(s):  
A. Hanzalová ◽  
P. Bartoš

The research report presents a summary of wheat leaf rust virulence surveys in the Czech Republic from 2002 to 2011. Determination of virulence was based on infection types on Thatcher near-isogenic lines (NILs) with the resistance genes Lr1, Lr2a, Lr2b, Lr2c, Lr3a, Lr9, Lr10, Lr11, Lr13, Lr15, Lr17, Lr19, Lr21, Lr23, Lr24, Lr26 and Lr28, respectively. Virulence for Lr9 and Lr 19 occurred only sporadically in the investigated period. On average, virulence for Lr2a, Lr2b, Lr24 and Lr28 was low. The highest frequency of virulence was found for Lr3a, Lr10, Lr11, Lr13, Lr15, Lr17, Lr21, Lr23 and Lr26. During the investigation period we recorded a shift from prevailing virulence for Lr2c and avirulence for Lr1 to avirulence for aLr2c and virulence for Lr1. Ther virulences in the leaf rust population were compared with matching resistance genes  in the registered wheat cultivars. The most frequent resistance gene was Lr37, while the genes Lr3a and Lr26 were less frequent.


2020 ◽  
Vol 12 (22) ◽  
pp. 3696
Author(s):  
Ramin Heidarian Dehkordi ◽  
Moussa El Jarroudi ◽  
Louis Kouadio ◽  
Jeroen Meersmans ◽  
Marco Beyer

During the past decade, imagery data acquired from unmanned aerial vehicles (UAVs), thanks to their high spatial, spectral, and temporal resolutions, have attracted increasing attention for discriminating healthy from diseased plants and monitoring the progress of such plant diseases in fields. Despite the well-documented usage of UAV-based hyperspectral remote sensing for discriminating healthy and diseased plant areas, employing red-green-blue (RGB) imagery for a similar purpose has yet to be fully investigated. This study aims at evaluating UAV-based RGB imagery to discriminate healthy plants from those infected by stripe and wheat leaf rusts in winter wheat (Triticum aestivum L.), with a focus on implementing an expert system to assist growers in improved disease management. RGB images were acquired at four representative wheat-producing sites in the Grand Duchy of Luxembourg. Diseased leaf areas were determined based on the digital numbers (DNs) of green and red spectral bands for wheat stripe rust (WSR), and the combination of DNs of green, red, and blue spectral bands for wheat leaf rust (WLR). WSR and WLR caused alterations in the typical reflectance spectra of wheat plants between the green and red spectral channels. Overall, good agreements between UAV-based estimates and observations were found for canopy cover, WSR, and WLR severities, with statistically significant correlations (p-value (Kendall) < 0.0001). Correlation coefficients were 0.92, 0.96, and 0.86 for WSR severity, WLR severity, and canopy cover, respectively. While the estimation of canopy cover was most often less accurate (correlation coefficients < 0.20), WSR and WLR infected leaf areas were identified satisfactorily using the RGB imagery-derived indices during the critical period (i.e., stem elongation and booting stages) for efficacious fungicide application, while disease severities were also quantified accurately over the same period. Using such a UAV-based RGB imagery method for monitoring fungal foliar diseases throughout the cropping season can help to identify any new disease outbreak and efficaciously control its spread.


Plant Disease ◽  
2005 ◽  
Vol 89 (3) ◽  
pp. 303-308 ◽  
Author(s):  
Y. Anikster ◽  
J. Manisterski ◽  
D. L. Long ◽  
K. J. Leonard

In all, 1,323 single plant accessions of Aegilops bicornis, A. kotschyi, A. longissima, A. ovata, A. searsii, A. sharonensis, A. speltoides, and A. variabilis collected from 18 regions in Israel and 2 adjacent regions in Lebanon and Egypt were evaluated for leaf rust (Puccinia triticina) and stripe rust (P. striiformis) resistance in field plots and for seedling resistance to leaf rust and stem rust (P. graminis f. sp. tritici) in greenhouse tests. Nearly all accessions of A. speltoides were highly resistant to leaf rust, stripe rust, and stem rust. A. longissima and A. ovata were highly resistant to stripe rust, whereas A. bicornis and A. kotschyi were highly susceptible. A. searsii was highly susceptible to stem rust, but 24 to 51% of accessions of A. bicornis, A. longissima, A. ovata, and A. variabilis were resistant to stem rust. Except for A. ovata and A. speltoides, more than 95% of the Aegilops accessions were susceptible to leaf rust caused by P. recondita alternating on Anchusa spp. Only Aegilops ovata was susceptible to P. recondita from Echium spp. A. bicornis, A. koschyi, and A. searsii were highly susceptible as seedlings to common wheat leaf rust caused by P. triticina. Most accessions of A. variabilis and about half of the accessions of A. longissima had good seedling resistance to P. triticina. Few accessions of A. ovata showed seedling resistance to the P. triticina population in Israel, but 30% were resistant to U.S. isolates. In field tests, A. bicornis showed high susceptibility to common wheat leaf rust, but more than 90% of the accessions of the other Aegilops spp. developed little or no leaf rust on adult plants. The Aegilops spp. in Israel and adjoining countries provide a rich and varied source of rust resistance for wheat breeding.


2008 ◽  
Vol 177 (4) ◽  
pp. 1001-1011 ◽  
Author(s):  
Christian Lannou ◽  
Samuel Soubeyrand ◽  
Lise Frezal ◽  
Joël Chadœuf
Keyword(s):  

1984 ◽  
Vol 64 (3) ◽  
pp. 511-519 ◽  
Author(s):  
G. L. C. MUSA ◽  
P. L. DYCK ◽  
D. J. SAMBORSKI

The inheritance of seedling resistance to isolate RLR 213/78 of rye leaf rust (Puccinia recondita f. sp. secalis) and race 30 of wheat leaf rust (P. recondita f. sp. tritici Rob.) was investigated in six inbred lines of rye (Secale cereale). Inbred line UM8116 was used as the susceptible parent in crosses. Inbred lines UM8003, UM8071 and UM8301 each have a single gene and UM8336 and UM8340 each have two genes for resistance to rye leaf rust. For resistance to wheat leaf rust UM8071 has a single gene, UM8003 and UM8340 each have two genes and UM8301 and UM8336 each have three genes. UM8295 is heterogeneous for reaction to both rusts. One of the genes in UM8340 may condition resistance to both rusts. The genes for resistance to RLR 213/78 appear to be independently inherited while some of the genes conferring resistance to race 30 may be identical or very closely linked. The potential of rye as a source of disease resistance for wheat and triticale improvement is discussed.Key words: Secale cereale, disease resistance, wheat leaf rust


2011 ◽  
Vol 79 (2) ◽  
pp. 180-188 ◽  
Author(s):  
Christoph Römer ◽  
Kathrin Bürling ◽  
Mauricio Hunsche ◽  
Till Rumpf ◽  
Georg Noga ◽  
...  

2013 ◽  
Vol 41 (2) ◽  
pp. 121-133
Author(s):  
Nour El-Din Soliman ◽  
Magdy Saber ◽  
Alaa Abd-Elaziz ◽  
Ibrahim Imbabi

2012 ◽  
pp. 33-62 ◽  
Author(s):  
B. McCallum ◽  
C. Hiebert ◽  
J. Huerta-Espino ◽  
S. Cloutier
Keyword(s):  

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