Lucien Hoffmann

Assessing the Accuracy of Simulation Model for Septoria Leaf Blotch Disease Progress on Winter Wheat

A mechanistic model, PROCULTURE, for assessing the development of each of the last five leaf layers and the progress of Septoria leaf blotch, caused by Septoria tritici (teleomorph Mycosphaerella graminicola), has been applied on susceptible and weakly susceptible winter wheat (Triticum aestivum) cultivars in two locations (Everlange and Reuland) in Luxembourg over a 3-year period (2000 to 2002). A double performance assessment of PROCULTURE was conducted in this study. First, the capability of PROCULTURE to correctly simulate S. tritici incidence was checked. Second, the models ability to accurately estimate disease severity was assessed on the basis of the difference between simulated and observed levels of disease development at each leaf layer. The model accurately predicted disease occurrence in the 2000 and 2002 seasons, on susceptible and semi-susceptible cultivars, with a probability of detection (POD) exceeding 0.90. However, in 2001, even though the POD never fell below 0.90, the false alarm ratio (FAR) was too high to consider the simulations satisfactory. Concerning the evaluation of disease severity modeling, statistical tests revealed accurate simulations performed by PROCULTURE for susceptible cultivars in 2000 and 2002. By contrast, for weakly susceptible cultivars, the model overestimated disease severity, especially for the upper leaves, for the same period.

Hypertemporal Classification of Large Areas Using Decision Fusion

A novel multiannual land-cover-classification scheme for classifying hypertemporal image data is suggested, which is based on a supervised decision fusion (DF) approach. This DF approach comprises two steps: First, separate support vector machines (SVMs) are trained for normalized difference vegetation index (NDVI) time-series and mean annual temperature values of three consecutive years. In the second step, the information of the preliminary continuous SVM outputs, which represent posterior probabilities of the class assignments, is fused using a second-level SVM classifier. We tested the approach using the 10-day maximum-value NDVI composites from the ldquoMediterranean Extended Daily One-km Advanced Very High Resolution Radiometer Data Setrdquo (MEDOKADS). The approach increases the classification accuracy and robustness compared with another DF method (simple majority voting) and with a single SVM expert that is trained for the same multiannual periods. The results clearly demonstrate that DF is a reliable technique for large-area mapping using hypertemporal data sets.

Retrieving the Bioenergy Potential from Maize Crops Using Hyperspectral Remote Sensing

Biogas production from energy crops by anaerobic digestion is becoming increasingly important. The amount of biogas that can be produced per unit of biomass is referred to as the biomethane potential (BMP). For energy crops, the BMP varies among varieties and with crop state during the vegetation period. Traditional ways of analytical BMP determination are based on fermentation trials and require a minimum of 30 days. Here, we present a faster method for BMP retrievals using near infrared spectroscopy and partial least square regression (PLSR). PLSR prediction models were developed based on two different sets of spectral reflectance data: (i) laboratory spectra of silage samples and (ii) airborne imaging spectra (HyMap) of maize canopies under field (in situ) conditions. Biomass was sampled from 35 plots covering different maize varieties and the BMP was determined as BMP per mass (BMPFM, Nm3 biogas/t fresh matter (Nm3/t FM)) and BMP per area (BMParea, Nm3 biogas/ha (Nm3/ha)). We found that BMPFM significantly differs among maize varieties; it could be well retrieved from silage samples in the laboratory approach (Rcv2 = 0.82, n = 35), especially at levels >190 Nm3/t. In the in situ approach PLSR prediction quality declined (Rcv2 = 0.50, n = 20). BMParea, on the other hand, was found to be strongly correlated with total biomass, but could not be satisfactorily predicted using airborne HyMap imaging data and PLSR.

First Report of the Nivalenol Chemotype of Fusarium graminearum Causing Head Blight of Wheat in the Grand Duchy of Luxembourg

Head blight caused by Fusarium graminearum is one of the major diseases of wheat (Triticum aestivum L.) in Luxembourg (2) and there is concern for mycotoxins in diseased grain. Isolates of F. graminearum have been assigned to chemotypes based on the particular toxins produced. Ten wheat fields representing different topoclimatological areas of Luxembourg were surveyed in 2007 and 2008 to determine the frequency and distribution of chemotypes. Partially blighted wheat heads were collected, and diseased grains were plated on Fusarium-selective agar (dichloran-chloramphenicol-peptone) for 12 days at 22 ± 2°C with a 12-h light period. Monoconidial isolates of F. graminearum (79 in 2007 and 85 in 2008) were obtained by conidia dilution on 2% water agar and needle selection under a microscope. F. graminearum isolates showed rapid growth on potato dextrose agar, dense aerial mycelium with red pigment deposits in the plate, macroconidia with five to six defined septa, and a basal cell with the typical foot shape. Microconidia were absent. To confirm species identification, a PCR reaction was carried out using the F. graminearum species-specific primers Fg16F (5-CTCCGGATATGTTGCGTCAA-3) and Fg16R (5-GGTAGGTATCCGACATGGCAA-3) according to Demeke et al. (1). Chemotype of each isolate was determined according to Ward et al. (4). In particular, PCR primer 12CON (5 CATGAGCATGGTGATGTC-3) coupled with primer 12NF (5-TCTCCTCGTTGTATCTGG-3) and primer 3CON (5-TGGCAAAGACTGGTTCAC-3) coupled with primer 3NA (5-GTGCACAGAATATACGAGC-3) identified the nivalenol chemotype, primer 12CON coupled with primer 12-15F (5-TACAGCGGTCGCAACTTC-3) and primer 3CON coupled with primer 3D15A (5-ACTGACCCAAGCTGCCATC-3) identified the 15-acetylated deoxynivalenol (DON) chemotype, while primer 12CON coupled with primer 12-3F (5-CTTTGGCAAGCCCGTGCA-3) and primer 3CON coupled with primer 3D3A (5-CGCATTGGCTAACACATG-3) identified 3-acetylated DON chemotype. Reactions were repeated two times and positive controls (provided by Kerry ODonnell, NRRL collection, Peoria, IL) and a negative control (water) were used in each reaction. Frequency of the nivalenol chemotype was found to be 2.5% in 2007 and 1% in 2008. Interestingly, the nivalenol chemotype was absent in southern Luxembourg. According to this finding, nivalenol was likely to be present at low levels in grain from Reisdorf and Echternach in 2007 (central Luxembourg) and in 2008 from grain of Troisvierges (northern Luxembourg). The remaining isolates in both years belonged to the 15-acetylated DON chemotype and the 3-acetylated DON chemotype was not detected. Compared with a previous report from the Netherlands (3), the nivalenol chemotype in Luxembourg is less frequent and widespread. To our knowledge, this is the first report of the nivalenol chemotype of F. graminearum causing head blight on wheat in Luxembourg. References:(1) T. Demeke et al. Int. J. Food Microbiol. 103:271, 2005. (2) F. Giraud et al. Plant Dis. 92:1587, 2008. (3) C. Waalwijk et al. Eur. J. Plant Pathol. 109:743, 2003. (4) T. J. Ward et al. Fung. Genet. Biol. 45:473, 2008.

First report of Plasmodiophora brassicae on rapeseed in Grand Duchy of Luxembourg

Rapeseed (Brassica napus L.) is the third most important crop after wheat and barley in the Grand Duchy of Luxembourg. Since 2005, clubroot symptoms in this crop have been reported by farmers in the Gutland Region. In February 2009, plants of the hybrid rapeseed cv. Exocet, with stunted growth, yellow leaves, and club-shaped roots, were sampled from a field in Oberkorn village near Differdange. Microscopic observations of the rapeseed root fragments revealed the presence of the three life stages characteristic of Plasmodiophora brassicae Woronin. Plasmodia and zoosporangia were observed in the root hairs and resting spores were present in root galls. Individual spores were 2 to 3 μm in diameter. Total DNA was extracted from the root galls with a FAST DNA Kit (MP Biomedicals, Irvine, CA). The internal transcribed spacer region (ITS) and 5.8S gene of the rDNA region were amplified with ITS5 and ITS4 primers as described by White et al. (2) and part of this region was sequenced. A BLASTn search in GenBank revealed that the sequence closely resembled (98% identity) sequences of P. brassicae (Genbank Accession No. EF195335) from an isolate of the pathogen from Switzerland. To confirm the presence of the pathogen, seeds of the susceptible ecotype cvi-0 of Arabidopsis thaliana were grown in a soil sample (1 liter) collected near the infected rapeseed plants. After 55 days of growth in a glasshouse at 15 to 20°C, the roots of 11 plants were analyzed. Two showed clear clubroot symptoms and four others exhibited small swellings. The remaining five plants were symptomless, but plasmodia and zoosporangia were found in root hair cells. Clubroot caused by P. brassicae has previously been described on B. napus and other crucifers (1). To our knowledge, this is the first report of clubroot disease caused by P. brassicae in Luxembourg. Because its presence has since been observed in new fields in the Gutland Region and because of the ability of the pathogen to survive for a long period in the soil, this disease could represent a severe threat for cropping of Brassicaceae in Luxembourg and neighboring countries. References: (1) I. R. Crute et al. Plant Breed. Abstr. 50:91, 1980. (2) T. J. White et al. Page 315 in: PCR Protocols: A Guide to Methods and Applications. M. A. Innis et al., eds. Academic press: San Diego, 1990.

First Report of Fusarium Head Blight on Winter Wheat in the Grand Duchy of Luxembourg

Following a comparatively mild winter (1.9°C above average [2000-2007]), Fusarium head blight (FHB) on winter wheat was observed during the 2007 season in 17 sites representing all three districts of Diekirch, Grevenmacher, and Luxembourg. The cultivars encountered were diverse and included Achat, Akteur, Aron, Bussard, Cubus, Enorm, Exclusiv, Flair, Rosario, Tommi, and Urban. The preceding crops were maize (six sites), rapeseed (three sites), and one site each of pea, triticale, winter barley, and winter wheat. Rainfalls recorded during the flowering period (June 1-23, mean June 12 for GS 65) ranged from 13 to 62 (mean 38) mm. An overall prevalence of FHB (percentage of infected spikes) of 8.9 ± 15.5% (mean ± SD) and a severity (percentage of infected grains per spike) of 21.0 ± 17.8% were recorded. A significant difference in FHB severity was observed between the cantons north and south of Luxembourg City, 13.4 ± 13.1% (range 0.01 to 46.4) and 35.1 ± 18.1% (range 6.2 to 61.9), respectively (Man-Whitney, P = 0.027), indicating the importance to take regional specificities such as topoclimatological aspects into account. Maize as a preceding crop resulted in significant higher prevalence of FHB as opposed to the other crops (5.9 ± 1.6% versus 3.3 ± 2.2%, Man-Whitney, P = 0.022).