No description available.

No description available.

Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is an economically important foliar disease of wheat (Triticum aestivum). In the last decade, losses from stripe rust in North Dakota (ND) have increased, peaking at 5% in 2015. Three research studies were conducted to address questions on the pathogen, varietal resistance, and integrated management. The objective of the first study was to (i) identify virulent phenotypes of Pst isolates collected from ND from 2015 to 2017 and assign races, and (ii) determine the effect of temperature on in vitro urediniospore germination, latency, and lesion spread. Across the three years, five races were detected with PSTv 37 being the most common. The highest urediniospore germination occurred at 12oC followed by 16oC. Pst isolates had shorter latency at 21oC and larger lesion spread at 16oC. The objective of the second study was to evaluate seedling resistance and adult plant resistance in the North Dakota State University spring wheat breeding program using races PSTv 37 and PSTv 52. Results from seedling experiments indicated only four and two lines were resistant to PSTv 52 and PSTv 37, respectively. Adult plant resistance experiments were unsuccessful in 2019, and will be conducted again in the future. The objective of the third study was to develop fungicide timing recommendations for wheat rust (stripe and leaf) based on varietal resistance and time of disease onset. Rust developed in five of the eight field trials, and timing of disease onset was categorized by growth stage (tillering, flag leaf, or early-flowering). Results indicated fungicide application timing was influenced by timing of disease onset and varietal resistance. When rust was detected at the tillering growth stage on the susceptible variety, the best time to apply a fungicide was at Feekes 9. When rust was detected at flag leaf or beyond on a susceptible variety, a fungicide application at Feekes 10.51 provided the adequate disease reduction and protection of yield. Results from these research studies provide a better understanding of Pst, determined seedling resistance in the breeding program, and provides field data to refine management recommendations for wheat rusts in ND. / North Dakota Wheat Commission / State Board of Agricultural Research and Education

Since 2000, stripe rust, caused by the fungal pathogen (Puccinia striiformis Westend. f.sp. tritici Eriks.) has resulted in yield losses of wheat (Triticum aestivium L.) in the United States, that exceeded the combined losses of leaf rust (Puccinia triticina Eriks.) and stem rust (Puccinia gramins Pers.:Pers f. sp. Tritici Eriks. E. Henn.). The objectives of this study are to identify and map adult plant stripe rust resistance quantitative trait loci (QTL) in soft red winter (SRW) wheat that are effective against race PST-100, which is the predominant race of the pathogen in the eastern U.S. Adult plant resistance (APR) was characterized in the resistant wheat lines "USG 3555", VA00W-38, and "Coker 9553". Resistance in each of the lines was evaluated in populations derived from crosses with susceptible lines "Neuse", Pioneer Brand "26R46", and VA01W-21, respectively. On chromosomes 1AS, 4BL, and 7D of USG 3555, QTL were identified that explain on average 12.8, 73.0, and 13.6 percent of the variation for stripe rust infection type (IT), and 13.5, 72.3, and 10.5 percent of the variation for stripe rust severity. A QTL from Neuse was identified on 3A that on average explains 10.9 percent of the variation for IT and 13.0 percent of the variation for severity. On chromosomes 2AS and 4BL of VA00W-38, QTL were identified that on average explain 58.9 and 19.3 percent of the variation for stripe rust IT, and 51.9 and 12.1 percent of the variation for severity. On chromosomes 6BL and 3BL of Pioneer 26R46, QTL were identified that on average explain 8.9 and 2.1 percent of the variation for IT and 11.7 and 3.9 percent of the variation for severity. Coker 9553 possesses the QTL on 4BL that is also present in USG 3555 and VA00W-38. The SSR markers, Xgwm296, Xbarc163, and Xwmc756 were tightly linked to QTL on chromosomes 2AS, 4BL, and 6BL, respectively, and their use and development of additional diagnostic markers will facilitate the incorporation and pyramiding of stripe rust resistance QTL into SRW wheat lines via marker-assisted selection. / Ph. D.

Yellow rust disease is one of the most important problems in wheat production. It causes substantial yield losses throughout the world. There are resistant and susceptible wheat varieties to various yellow rust pathotypes. In this thesis genes that are induced in wheat, in virulence and avirulence conditions upon yellow rust inoculations were investigated. Consequently, it was aimed to identify genes that may be playing critical roles in the disease resistance mechanism. The strategy was to construct subtracted cDNA libraries from resistant and susceptible plants and analyse the sequences obtained from these libraries. The subtraction approach in this study differs from the common subtraction designs implicated in plant-pathogen interactions / instead of comparing a compatible or an incompatible interaction with a control, one of the subtractions in this study is done taking a compatible interaction as the tester and an incompatible one as the driver, and the second subtraction, vice versa. Therefore, it was intended to compare the transcriptomes from compatible and incompatible plant-pathogen interactions directly. Suppression Subtractive Hybridization method was used to construct subtracted cDNA libraries. Two subtractions were performed / SSH1 (D-R), taking a compatible interaction as the tester sample and an incompatible one as the driver sample, and SSH2 (R-D), taking an incompatible interaction as the tester sample and a compatible one as the driver. In the end, two subtracted cDNA libraries, SSH1 (D-R) library (1536 clones) and SSH2 (R-D) library (1152 clones) were obtained and the libraries were sequenced. Sequence results were subjected to BlastN and BlastX analysis. We looked for a group of genes that were frequently emphasized in plant disease related studies when we searched within the Blast N homology results of the two libraries. We found out that 19 such genes are present in our libraries. We discussed supposed induction of these genes in the interactions investigated in our study. The fact that these genes were found to be present in our libraries enhances the reliability of our results suggesting that the gene sequences we found indeed belong to genes differentially expressed in the respective comparisons investigated in our study. As such, it also implies that other sequences that were found similar to genes of known functions may represent candidate genes as subjects of further studies investigating wheat-yellow rust interactions.

No description available.

Yellow rust, caused by Puccinia striiformis Westend. f. sp. tritici Eriksson is one of the most severe leaf diseases of wheat. Aim of this study is to illuminate the downstream signaling pathways upon incompetible infection of rust pathogen in wheat, thus to understand the genes involved in resistance mechanism. The strategy used is the dual bait yeast two-hybrid analysis which is the most powerful method for in vivo detection of protein-protein interactions. The bait proteins used are / the domains of Yr10 yellow rust resistance gene, Rad6 gene which is considered to have a critical role in R gene mediated signaling pathway, and WR5 gene fragment which is an unknown protein having homology to the WD40 repeat containing protein with apoptosis related activity. Screening of a yeast prey library with these baits revealed proteins having mostly apoptosis related functions (SRP72, POR1, CSE1), translation initiation control in response to stress conditions (Gcn2p, Eap1p), phosphorylation (SKY1) and dephosphorylation activities (GAC1), cell cycle control (FAR1), oxidative stress control (OXR1), protein degradation control (TOM1), protein folding control (CPR7) and ion homeostasis in the cell (POR1, GAC1). The significance of the study can be summarized as i) being the first yeast two hybrid analysis of a wheat R gene, ii) being able to detect interacting partners with anticipated functions, iii) most importantly, initiating further detailed analysis of the key interactors.

The world’s population is increasing and along with it, the demand for food. A novel parametric model (Volterra Non-linear Regressive with eXogenous inputs (VNRX)) is introduced for quantifying influences of individual and multiple soil properties on crop yield and normalised difference vegetation Index. The performance was compared to a random forest method over two consecutive years, with the best results of 55.6% and 52%, respectively. The VNRX was then implemented using high sampling resolution soil data collected with an on-line visible and near infrared (vis-NIR) spectroscopy sensor predicting yield variation of 23.21%. A hyperspectral imager coupled with partial least squares regression was successfully applied in the detection of fusarium head blight and yellow rust infection in winter wheat and barley canopies, under laboratory and on-line measurement conditions. Maps of the two diseases were developed for four fields. Spectral indices of the standard deviation between 500 to 650 nm, and the squared difference between 650 and 700 nm, were found to be useful in differentiating between the two diseases, in the two crops, under variable water stress. The optimisation of the hyperspectral imager for field measurement was based on signal-to-noise ratio, and considered; camera angle and distance, integration time, and light source angle and distance from the crop canopy. The study summarises in the proposal of a new method of disease management through suggested selective harvest and fungicide applications, for winter wheat and barley which theoretically reduced fungicide rate by an average of 24% and offers a combined saving of the two methods of £83 per hectare.

No description available.

Stem rust and Yellow rust diseases are the two major wheat fungal diseases causing considerable yield losses in Turkey and all around the world. There are studies which are carried out to identify and utilize resistance sources in order to obtain resistant lines of wheat. However, virulent pathotypes are continuously being important threats to wheat production and yield. For that reason, new approaches for rapid identification are needed. The aim of this study was to investigate and to understand the structural and functional differences between the resistant and sensitive durum wheat cultivars to the plant fungal diseases of stem and yellow (stripe) rusts. To aim this, forty durum wheat recombinant inbred lines (RILs), which were previously determined to be resistant or sensitive to stem and yellow rust diseases, were investigated by the noninvasive Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy. Also, classification of the resistant and sensitive lines depending on the structural and functional differences has been attempted. The FTIR spectra for stem rust disease showed that, resistant durum wheat lines had a significant increase in the population of unsaturation in acyl chains of lipid molecules, an increase in lipid and in total protein content and also an increase in carboxylic acids and alcohols. For yellow rust disease, resistant lines had a significant increase in hydrogen bonding and they had also a more ordered membrane structure. In Principal Component Analysis for stem rust disease, according to 3700-650 cm-1 region, amide III band (1213-1273 cm-1 region) and C-H stretching region (3020- 2800 cm-1), the resistant and sensitive groups were separated successfully. For yellow rust disease, according to 3700-650 cm-1 region, Amide A and Amide III bands, the resistant and sensitive lines were grouped distinctly. FTIR spectroscopy provides a useful approach to determine the differences in molecular structure of durum wheat RILs regarding resistance of lines to fungal diseases. However, further research is still needed to ensure if the structural and functional differences in biomolecules of the samples could be used as molecular markers for discrimination of rust resistant materials from rust sensitive ones.