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10 results for “late blight”

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zenodo44/100

Data from 18 fungicide trials on potato late blight in UK and Ireland 2013-2017

<p>The data set comprises records of disease incidence, crop growth stage and yield from untreated and treated plots.</p> <p>The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file.</p> <p>The field trials were conducted by Corteva Agriscience, Germany.</p>

opencc-by-4.0Mar 2022View details →
zenodo44/100

Late blight resistance in potato conferred by Rpi-Smira2/R8

<p>The data are related to Figure 7 of the publication Blatnik et al. (2022) Late blight resistance conferred by <em>Rpi-Smira2/R8</em> in potato genotypes<em> in vitro</em> depends on the genetic background, published in Plants 11: 1319 (https://doi.org/10.3390/plants11101319)</p> <p>The data represent late blight (<em>Phytophtora infestans</em>) disease scores of progeny <em>R8</em> genotypes and parental cultivars inoculated with four <em>P. infestans </em>isolates <em>in vitro</em>. The disease scores were evaluated daily for an eight day period post inoculation according to the late blight disease rating scale (see publication and info sheet of the data).</p>

opencc-by-4.0May 2022View details →
dryad36/100

Dataset: T-DNA characterization of genetically modified 3-R-gene late blight resistant potato events with a novel procedure utilizing the Samplix Xdrop® Enrichment Technology

<p>Before commercialization of genetically modified crops, the events carrying the novel DNA must be thoroughly evaluated for agronomic, nutritional, and molecular characteristics. Over the years, Polymerase Chain Reaction-based methods, Southern blot, and short-read sequencing techniques have been utilized for collecting molecular characterization data. Multiple genomic applications are necessary to determine the insert location, flanking sequence analysis, characterization of the inserted DNA, and determination of any interruption of native genes. These techniques are time-consuming and labor-intensive, making it difficult to characterize multiple events. Current advances in sequencing technologies are enabling whole genomic sequencing of modified crops to obtain full molecular characterization. However, in polyploids, such as the tetraploid potato, it is a challenge to obtain whole genomic sequencing coverage that meets regulatory approval of the genetic modification. Here we describe an alternative to labor-intensive applications with a novel procedure using Samplix Xdrop® enrichment technology and next-generation Nanopore sequencing technology to more efficiently characterize the T-DNA insertions of four genetically modified potato events developed by the Feed the Future Global Biotech Potato Partnership: DIA_MSU_UB015, DIA_MSU_UB255, GRA_MSU_UG234 and GRA_MSU_UG265 (derived from regionally important varieties Diamant and Granola). Using the Xdrop® /Nanopore technique, we obtained a very high sequence read coverage within the T-DNA and junction regions. In three of the four events, we were able to use the data to confirm single T-DNA insertions, identify insert locations, identify flanking sequences, and characterize the inserted T-DNA. We further used the characterization data to identify native gene interruption and confirm the stability of the T-DNA across clonal cycles. These results demonstrate the functionality of using the Xdrop® /Nanopore technique for T-DNA characterization. This research will contribute to meeting regulatory safety and regulatory approval requirements for commercialization with small shareholder farmers in target countries within our partnership.</p>

opencc-zeroFeb 2024View details →
dryad36/100

Dataset: T-DNA characterization of genetically modified 3-R-gene late blight resistant potato events with a novel procedure utilizing the Samplix Xdrop® Enrichment Technology

Open the record for dataset details and reuse information.

publicFeb 2024View details →
dryad32/100

Data from: High levels of diversity and population structure in the potato late blight pathogen at the Mexico center of origin

Globally destructive crop pathogens often emerge by migrating out of their native ranges. These pathogens are often diverse at their center of origin, and may exhibit adaptive variation in the invaded range via multiple introductions from different source populations. However, source populations are generally unidentified or poorly studied compared to invasive populations. Phytophthora infestans, the causal agent of late blight, is one of the most costly pathogens of potato and tomato worldwide. Mexico is the center of origin and diversity of P. infestans and migration events out of Mexico have enormously impacted disease dynamics in North America and Europe. The debate over the origin of the pathogen, and population studies of P. infestans in Mexico, have focused on the Toluca Valley, whereas neighboring regions have been little studied. We examined the population structure of P. infestans across central Mexico, including samples from Michoacán, Tlaxcala, and Toluca. We found high levels of diversity consistent with sexual reproduction in Michoacán and Tlaxcala, and population subdivision that was strongly associated with geographical region. We determined that population structure in Central Mexico has contributed to diversity in introduced populations based on relatedness of U.S. clonal lineages to Mexican isolates from different regions. Our results suggest that P. infestans exists as a metapopulation in Central Mexico, and this population structure could be contributing to the repeated re-emergence of P. infestans in the U.S. and elsewhere.

opencc-zeroDec 2015View details →
dryad32/100

Data from: High levels of diversity and population structure in the potato late blight pathogen at the Mexico center of origin

Open the record for dataset details and reuse information.

publicJan 2017View details →
geo16/100

Potato Gene Expression Associated with the RB-mediated Broad-Spectrum late blight resistance

GEO Series GSE13341. Solanum tuberosum. 48 samples. Type: Expression profiling by array.

openGEO-OpenOct 2009View details →
geo12/100

Quantitative resistance response to late blight in potato

GEO Series GSE8250. Solanum tuberosum. 24 samples. Type: Expression profiling by array.

openGEO-OpenSep 2007View details →
geo12/100

Profiling the asexual development transcriptome of the late blight pathogen Phytophthora infestans

GEO Series GSE9623. Phytophthora infestans. 10 samples. Type: Expression profiling by array.

openGEO-OpenMar 2008View details →
geo12/100

Transcriptomic Analysis Reveals Distinct Strategies of Two Potato Cultivars Against Phytophthora infestans and Identifies StWRKY26 as a Positive Regulator of Late Blight Resistance

GEO Series GSE270562. Solanum tuberosum. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2025View details →

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DANDI Archive for NWB datasets

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Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

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neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record