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Keywords = glume blight

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15 pages, 3062 KiB  
Article
Field Study of the Effects of Two Different Environmental Conditions on Wheat Productivity and Chlorophyll Fluorescence Induction (OJIP) Parameters
by Valentina Spanic, Selma Mlinaric, Zvonimir Zdunic and Zorana Katanic
Agriculture 2021, 11(11), 1154; https://doi.org/10.3390/agriculture11111154 - 17 Nov 2021
Cited by 5 | Viewed by 2501
Abstract
Wheat is one of the main cereal crops for ensuring food supply. Thus, increasing grain yield is a major target for plant breeders, where insights into wheat productivity can be gained by studying the activity of the components of photosynthetic apparatus. The objectives [...] Read more.
Wheat is one of the main cereal crops for ensuring food supply. Thus, increasing grain yield is a major target for plant breeders, where insights into wheat productivity can be gained by studying the activity of the components of photosynthetic apparatus. The objectives of this study were to evaluate the agronomical performance of three winter wheat varieties and test photosynthetic efficiency over two different locations. Chlorophyll fluorescence was used to evaluate the maximum quantum yield of photosystem II (PSII) (TR0/ABS) and performance index on absorption basis (PIabs) of flag leaves and glumes of heads at the flowering stage until the mid-senescence stage. The grain yield of all varieties on average was significantly higher at Osijek compared to Tovarnik. Variety Tika Taka exhibited the highest yield reduction (27.1%) at Tovarnik compared to Osijek, followed by El Nino (20.5%) and Vulkan (18.7%), respectively. A higher amount of precipitation in June at Tovarnik provoked higher Fusarium head blight disease intensity, which could be seen as the bleaching of plant heads at the plots and resulted in an earlier decrease in photosynthetic activity. Therefore, earlier senescence and contracted grain fill duration could occur. Full article
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Figure 1
<p>Climate diagrams for vegetative season 2019/2020 at Osijek (<b>a</b>) and Tovarnik (<b>b</b>), Croatia.</p>
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<p>Grain yield (GY) (dt ha<b><sup>−</sup></b><sup>1</sup>) (<b>a</b>), test weight (TW) (kg hl<b><sup>−</sup></b><sup>1</sup>) (<b>b</b>), and 1000 kernel weight (1000 KW) (g) (<b>c</b>) in varieties El Nino, Tika Taka, and Vulkan at two locations (Osijek and Tovarnik).</p>
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<p>Heads of Vulkan at 26 DAF at Osijek (<b>a</b>) and Tovarnik (<b>b</b>).</p>
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<p>Maximum quantum yield of primary photochemistry (TRo/ABS) presented as mean value ± standard deviation of 20 flag leaves of variety El Nino (<b>a</b>,<b>b</b>), Tika Taka (<b>c</b>,<b>d</b>), and Vulkan (<b>e</b>,<b>f</b>) through four measurement points at two locations separately (Osijek and Tovarnik). Standard deviations are presented as vertical bars. Lower-case letters above columns are used to present results of statistical data analysis obtained by Fisher’s LSD test and point to statistically significant difference <span class="html-italic">(p</span> &lt; 0.05) between values of TRo/ABS measured at 3, 10, 18, and 26 days after flowering for each wheat variety separately and at each location.</p>
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<p>Performance index (PI<sub>abs</sub>) presented as mean value ± standard deviation of 20 flag leaves of variety El Nino (<b>a</b>,<b>b</b>), Tika Taka (<b>c</b>,<b>d</b>), and Vulkan (<b>e</b>,<b>f</b>) through four measurement points at two locations separately (Osijek and Tovarnik). Standard deviations are presented as vertical bars. Lower-case letters above columns are used to present results of statistical data analysis obtained by Fisher’s LSD test and point to statistically significant difference <span class="html-italic">(p</span> &lt; 0.05) between values of PI<sub>abs</sub> measured at 3, 10, 18, and 26 days after flowering for each wheat variety separately and at each location.</p>
Full article ">Figure 6
<p>Maximum quantum yield of primary photochemistry (TRo/ABS) presented as mean value ± standard deviation of 20 wheat heads of variety El Nino (<b>a</b>,<b>b</b>), Tika Taka (<b>c</b>,<b>d</b>), and Vulkan (<b>e</b>,<b>f</b>) through four measurement points at two locations separately (Osijek and Tovarnik). Standard deviations are presented as vertical bars. Lower-case letters above columns are used to present results of statistical data analysis obtained by Fisher’s LSD test and point to statistically significant difference <span class="html-italic">(p</span> &lt; 0.05) between values of TRo/ABS measured at 3, 10, 18, and 26 days after flowering for each wheat variety separately and at each location.</p>
Full article ">Figure 7
<p>Performance index (PI<sub>abs</sub>) presented as mean value ± standard deviation of 20 wheat heads of variety El Nino (<b>a</b>,<b>b</b>), Tika Taka (<b>c</b>,<b>d</b>), and Vulkan (<b>e</b>,<b>f</b>) through four measurement points at two locations separately (Osijek and Tovarnik). Standard deviations are presented as vertical bars. Lower-case letters above columns are used to present results of statistical data analysis obtained by Fisher’s LSD test and point to statistically significant difference <span class="html-italic">(p</span> &lt; 0.05) between values of PI<sub>abs</sub> measured at 3, 10, 18, and 26 days after flowering for each wheat variety separately and at each location.</p>
Full article ">
15 pages, 289 KiB  
Article
Trichothecene Genotypes Analysis of Fusarium Isolates from di-, tetra- and Hexaploid Wheat
by Adrian Duba, Klaudia Goriewa-Duba and Urszula Wachowska
Agronomy 2019, 9(11), 698; https://doi.org/10.3390/agronomy9110698 - 30 Oct 2019
Cited by 5 | Viewed by 2402
Abstract
New sources of resistance to fungal diseases, including FHB (Fusarium head blight), need to be identified. The results of research investigating ancient wheat species with desirable traits appear promising. The aim of this study was to determine the presence of Fusarium culmorum (W. [...] Read more.
New sources of resistance to fungal diseases, including FHB (Fusarium head blight), need to be identified. The results of research investigating ancient wheat species with desirable traits appear promising. The aim of this study was to determine the presence of Fusarium culmorum (W. G. Sm.) Sacc., F. graminearum Schwabe, F. poae (Peck) Wollenw, F. avenaceum (Fr.) Sacc. and F. langsethiae Torp & Nirenberg in the grain and glumes of diploid Triticum monococcum ssp. monococcum, tetraploid T. turgidum ssp. dicoccum, T. turgidum ssp. polonicum and T. turgidum ssp. durum, and hexaploid T. aestivum ssp. spelta and T. aestivum ssp. aestivum grown in north-eastern and south-eastern Poland and to analyze the trichothecene genotypes of the isolated strains. The results of this study also point to shifts in the genotype of Polish F. culmorum and F. graminearum populations from 3-ADON to NIV and 15-ADON to 3-ADON genotypes, respectively. Our findings indicate that selected einkorn lines could potentially be used as sources of genetic material for breeding new varieties resistant to FHB. The fungal genotypes should be closely screened in Poland and the neighboring countries to assess the effects of potential genotypes profile change on fungal virulence, toxin loading and host specificity. Full article
(This article belongs to the Section Crop Breeding and Genetics)
16 pages, 3306 KiB  
Article
Partial Least Square Discriminant Analysis Based on Normalized Two-Stage Vegetation Indices for Mapping Damage from Rice Diseases Using PlanetScope Datasets
by Yue Shi, Wenjiang Huang, Huichun Ye, Chao Ruan, Naichen Xing, Yun Geng, Yingying Dong and Dailiang Peng
Sensors 2018, 18(6), 1901; https://doi.org/10.3390/s18061901 - 11 Jun 2018
Cited by 48 | Viewed by 6030
Abstract
In recent decades, rice disease co-epidemics have caused tremendous damage to crop production in both China and Southeast Asia. A variety of remote sensing based approaches have been developed and applied to map diseases distribution using coarse- to moderate-resolution imagery. However, the detection [...] Read more.
In recent decades, rice disease co-epidemics have caused tremendous damage to crop production in both China and Southeast Asia. A variety of remote sensing based approaches have been developed and applied to map diseases distribution using coarse- to moderate-resolution imagery. However, the detection and discrimination of various disease species infecting rice were seldom assessed using high spatial resolution data. The aims of this study were (1) to develop a set of normalized two-stage vegetation indices (VIs) for characterizing the progressive development of different diseases with rice; (2) to explore the performance of combined normalized two-stage VIs in partial least square discriminant analysis (PLS-DA); and (3) to map and evaluate the damage caused by rice diseases at fine spatial scales, for the first time using bi-temporal, high spatial resolution imagery from PlanetScope datasets at a 3 m spatial resolution. Our findings suggest that the primary biophysical parameters caused by different disease (e.g., changes in leaf area, pigment contents, or canopy morphology) can be captured using combined normalized two-stage VIs. PLS-DA was able to classify rice diseases at a sub-field scale, with an overall accuracy of 75.62% and a Kappa value of 0.47. The approach was successfully applied during a typical co-epidemic outbreak of rice dwarf (Rice dwarf virus, RDV), rice blast (Magnaporthe oryzae), and glume blight (Phyllosticta glumarum) in Guangxi Province, China. Furthermore, our approach highlighted the feasibility of the method in capturing heterogeneous disease patterns at fine spatial scales over the large spatial extents. Full article
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Figure 1
<p>A false-color map of study areas and survey plots in Guangxi Province, China. The rice planting areas are revealed as green polygons.</p>
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<p>The representative samples for healthy rice and rice infested with dwarf, blast, and glume blight. Plots on the right show averaged spectral reflectance and deviation (the shadows) of each class collected on 21 August and 30 October.</p>
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<p>The mean and standard deviations of pixel-based single-date VIs shown on (<b>left</b>) and normalized two-stage VIs shown on (<b>right</b>).</p>
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<p>A map of healthy and diseased rice based on the PLS-DA classifier from normalized two-stage and single-date VIs.</p>
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<p>The importance of VIs for the detection of rice diseases as determined by the variable importance in the projection (VIP) method. Normalized two-stage and single-date VIs are projected as VIP scores.</p>
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<p>Mapping results of rice diseases in a sub-region based on the optimal normalized two-stage VIs based PLS-DA.</p>
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592 KiB  
Article
Relationship of Deoxynivalenol Content in Grain, Chaff, and Straw with Fusarium Head Blight Severity in Wheat Varieties with Various Levels of Resistance
by Fang Ji, Jirong Wu, Hongyan Zhao, Jianhong Xu and Jianrong Shi
Toxins 2015, 7(3), 728-742; https://doi.org/10.3390/toxins7030728 - 5 Mar 2015
Cited by 24 | Viewed by 5554
Abstract
A total of 122 wheat varieties obtained from the Nordic Genetic Resource Center were infected artificially with an aggressive Fusariumasiaticum strain in a field experiment. We calculated the severity of Fusarium head blight (FHB) and determined the deoxynivalenol (DON) content of wheat [...] Read more.
A total of 122 wheat varieties obtained from the Nordic Genetic Resource Center were infected artificially with an aggressive Fusariumasiaticum strain in a field experiment. We calculated the severity of Fusarium head blight (FHB) and determined the deoxynivalenol (DON) content of wheat grain, straw and glumes. We found DON contamination levels to be highest in the glumes, intermediate in the straw, and lowest in the grain in most samples. The DON contamination levels did not increase consistently with increased FHB incidence. The DON levels in the wheat varieties with high FHB resistance were not necessarily low, and those in the wheat varieties with high FHB sensitivity were not necessarily high. We selected 50 wheat genotypes with reduced DON content for future research. This study will be helpful in breeding new wheat varieties with low levels of DON accumulation. Full article
(This article belongs to the Section Mycotoxins)
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<p>Distribution of deoxynivalenol in grain, glume and straw of wheat with different varieties.</p>
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<p>Box plots of the distribution of deoxynivalenol (DON) levels in wheat tissues ((<b>A</b>): grain; (<b>B</b>): straw; (<b>C</b>): glumes) inoculated with <span class="html-italic">Fusarium graminearum</span> at various levels of Fusarium head blight disease severity. Solid and dashed lines indicate medians and means, respectively. The box boundaries indicate the 75% and 25% quartiles. The whisker caps indicate 90th and 10th percentiles and the circles indicate the 95th and 5th percentiles.</p>
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<p>Relationship between Fusarium head blight (FHB) severity and deoxynivalenol levels in wheat tissues ((<b>A</b>): grain; (<b>B</b>): straw; (<b>C</b>): glumes). Dashed lines indicate the average FHB severity (59%) and average concentration of DON ((<b>A</b>): 3.78 mg/kg, (<b>B</b>): 14.77 mg/kg, (<b>C</b>): 20.65 mg/kg) in 366 samples (grain samples = 122, straw samples = 122, glume samples = 122).</p>
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