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During the 2023 soybean growing season in South Dakota, we scouted a farmer's field and observed soybean (Glycine max (L.) Merr.) plants with wilting symptoms and blighted leaves. Symptomatic stems and leaves were collected from the field to identify associated pathogens. 0.5 cm2 size leaf and stem segments of the sample were surface sterilized by rinsing with 10% bleach for 5 minutes then dipping in 70% ethanol for one minute, and later placing in deionized sterile water for one minute. The sterilized segments were placed on wet filter paper and incubated under fluorescent light for three days. Fungal growth was observed, and the growing mycelia were transferred to potato dextrose agar plates amended with 50 µg/ml Ampicillin (PDAa). Pure culture of the isolate was obtained using single sporing and transferring on new PDAa plates. A dense aerial mycelial growth showing waxy yellow color with a pale orange tinge on the rear side covered the full plate after seven days of incubation at room temperature under fluorescent lights (Figure S1a and b). Developing macroconidia were falcate, curved, smooth to slightly rough, and hyaline with three-five septa (Figure S1c). For molecular identification, DNA of the recovered isolate was extracted and subjected to multiloci PCR (O'Donnell et al., 2010) to amplify and Sanger sequence the internal transcribed spacers region (ITS) (GenBank accession number PP393518), calmodulin (CAM-PP401978), RNA polymerase II second largest subunit (RPB2-PP401980), and translation elongation factor 1-α gene (TEF1-PP401979). The South Dakota isolate (SLSDF2) was identified as Fusairum luffae on NCBI and Fusarioid polyphasic identification databases with 99.40% similarity to Fusarium luffae strain NRRL31167. A phylogeny was inferred based on concatenated TEF1, RPB2, and CAM sequences to show species relatedness (Figure S3). The characterized isolate SDSLF2 was evaluated for soybean pathogenicity using spray inoculations on detached leaves and V2 stage soybean plants (Figure S2a and b). The conidial suspension was prepared by growing the pathogen on mung bean agar for seven days. 2 ml of conidial suspensions (2.6 × 104 conidia/ml) and mock control (sterilized water with 0.1% Tween-20) was sprayed on the detached leaves and whole plants. The experiment was repeated three times with four replicates in each. In the detached leaf assay, leaves were completely blighted (Figure S2a) within 96 hours. In whole plant assays, after two days of incubation, leaf blighting was visible and progressed with time. Four days post-inoculation, the infected plants showed extensive leaf symptoms, and ultimately defoliation occurred (Figure S2b). No symptoms were observed in mock controls of either of the experiments. The pathogen was reisolated from the infected tissues and its identity was confirmed as F. luffae by CAM sequencing fulfilling Koch's postulates. F. luffae has been reported to associated with soybeans in China (Zhao et al., 2022), however, to our knowledge, this is the first report of F. luffae pathogenic on soybeans in the USA, stressing the need to identify resistance sources to avoid any potential disease epidemic.

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Genetic dissection of yield component traits including spike and kernel characteristics is essential for the continuous improvement in wheat yield. Genome-wide association studies (GWAS) have been frequently used to identify genetic determinants for spike and kernel-related traits in wheat, though none have been employed in hard winter wheat (HWW) which represents a major class in US wheat acreage. Further, most of these studies relied on assembled diversity panels instead of adapted breeding lines, limiting the transferability of results to practical wheat breeding. Here we assembled a population of advanced/elite breeding lines and well-adapted cultivars and evaluated over four environments for phenotypic analysis of spike and kernel traits. GWAS identified 17 significant multi-environment marker-trait associations (MTAs) for various traits, representing 12 putative quantitative trait loci (QTLs), with five QTLs affecting multiple traits. Four of these QTLs mapped on three chromosomes 1A, 5B, and 7A for spike length, number of spikelets per spike (NSPS), and kernel length are likely novel. Further, a highly significant QTL was detected on chromosome 7AS that has not been previously associated with NSPS and putative candidate genes were identified in this region. The allelic frequencies of important quantitative trait nucleotides (QTNs) were deduced in a larger set of 1,124 accessions which revealed the importance of identified MTAs in the US HWW breeding programs. The results from this study could be directly used by the breeders to select the lines with favorable alleles for making crosses, and reported markers will facilitate marker-assisted selection of stable QTLs for yield components in wheat breeding.

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BACKGROUND: In the late 1920s, A. E. Watkins collected about 7000 landrace cultivars (LCs) of bread wheat (Triticum aestivum L.) from 32 different countries around the world. Among which 826 LCs remain viable and could be a valuable source of superior/favorable alleles to enhance disease resistance in wheat. In the present study, a core set of 121 LCs, which captures the majority of the genetic diversity of Watkins collection, was evaluated for identifying novel sources of resistance against tan spot, Stagonospora nodorum blotch (SNB), and Fusarium Head Blight (FHB). RESULTS: A diverse response was observed in 121 LCs for all three diseases. The majority of LCs were moderately susceptible to susceptible to tan spot Ptr race 1 (84%) and FHB (96%) whereas a large number of LCs were resistant or moderately resistant against tan spot Ptr race 5 (95%) and SNB (54%). Thirteen LCs were identified in this study could be a valuable source for multiple resistance to tan spot Ptr races 1 and 5, and SNB, and another five LCs could be a potential source for FHB resistance. GWAS analysis was carried out using disease phenotyping score and 8807 SNPs data of 118 LCs, which identified 30 significant marker-trait associations (MTAs) with -log10 (p-value) > 3.0. Ten, five, and five genomic regions were found to be associated with resistance to tan spot Ptr race 1, race 5, and SNB, respectively in this study. In addition to Tsn1, several novel genomic regions Q.Ts1.sdsu-4BS and Q.Ts1.sdsu-5BS (tan spot Ptr race 1) and Q.Ts5.sdsu-1BL, Q.Ts5.sdsu-2DL, Q.Ts5.sdsu-3AL, and Q.Ts5.sdsu-6BL (tan spot Ptr race 5) were also identified. Our results indicate that these putative genomic regions contain several genes that play an important role in plant defense mechanisms. CONCLUSION: Our results suggest the existence of valuable resistant alleles against leaf spot diseases in Watkins LCs. The single-nucleotide polymorphism (SNP) markers linked to the quantitative trait loci (QTLs) for tan spot and SNB resistance along with LCs harboring multiple disease resistance could be useful for future wheat breeding.

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Winter wheat is susceptible to several fungal pathogens throughout the growing season and foliar fungicide application is one of the strategies used in the management of fungal diseases in winter wheat. However, for fungicides to be profitable, weather conditions conducive to fungal disease development should be present. To determine if winter wheat yield response to fungicide application at the flowering growth stage (Feekes 10.5.1) was related to the growing season precipitation, grain yield from fungicide treated plots was compared to non-treated plots for 19 to 30 hard red winter wheat cultivars planted at 8 site years from 2011 through 2015. At all locations, Prothioconazole + Tebuconazole or Tebuconazole alone was applied at flowering timing for the fungicide treated plots. Grain yield response (difference between treated and non-treated) ranged from 66-696 kg/ha across years and locations. Grain yield response had a positive and significant linear relationship with cumulative rainfall in May through June for the mid and top grain yield ranked cultivars (R2=54%, 78%, respectively) indicating that a higher amount of accumulated rainfall in this period increased chances of getting a higher yield response from fungicide application. Cultivars treated with a fungicide had slightly higher protein content (up to 0.5%) compared to non-treated. These results indicate that application of fungicides when there is sufficient moisture in May and June may increase chances of profitability from fungicide application.