ArticleThe plant genome2019
Genome-Wide Analysis and Prediction of Resistance to Goss's Wilt in Maize.
Article in The plant genome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Using genome-wide associations and host-by-pathogen predictions to identify allelic interactions that control disease resistance.The plant genome · 2025Article
- Current methods and future needs for visible and non-visible detection of plant stress responses.Frontiers in plant science · 2025Review
- Discovery of candidate genes enhancing kernel protein content in tropical maize introgression lines.BMC plant biology · 2024Article
- Identification of loci conferring resistance to 4 foliar diseases of maize.G3 (Bethesda, Md.) · 2024Article
- Advancements and Prospects of Genome-Wide Association Studies (GWAS) in Maize.International journal of molecular sciences · 2024Review
- A combination of joint linkage and genome-wide association study reveals putative candidate genes associated with resistance to northern corn leaf blight in tropical maize.Frontiers in plant science · 2024Article
- Genetic and transcriptomic dissection of host defense to Goss's bacterial wilt and leaf blight of maize.G3 (Bethesda, Md.) · 2023Article
- Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice (Molecular breeding : new strategies in plant improvement · 2023Article
- Goss's Wilt Resistance in Corn Is Mediated via Salicylic Acid and Programmed Cell Death but Not Jasmonic Acid Pathways.Plants (Basel, Switzerland) · 2023Article
- Genome-wide association and genomic prediction for resistance to southern corn rust in DH and testcross populations.Frontiers in plant science · 2023Article
- Characterization and genetic dissection of maize ear leaf midrib acquired by 3D digital technology.Frontiers in plant science · 2022Article
- Dissecting the Genetic Structure of Maize Leaf Sheaths at Seedling Stage by Image-Based High-Throughput Phenotypic Acquisition and Characterization.Frontiers in plant science · 2022Article
- Genome-wide association mapping in maize: status and prospects.3 Biotech · 2021Review
- Genetic Diversity and Population Structure of Maize Inbred Lines with Varying Levels of Resistance toPlants (Basel, Switzerland) · 2020Article
- Identification of Loci That Confer Resistance to Bacterial and Fungal Diseases of Maize.G3 (Bethesda, Md.) · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Goss's bacterial wilt and leaf blight is one of the most important foliar diseases of maize ( L.). To date, neither large-effect resistance genes, nor practical chemical controls exist to manage the disease. Thus, the importance of discovering durable host resistance necessitates additional genetic mapping for this disease. Unfortunately, because of the biology of the pathogen and the highly significant genotype-by-environment interaction effect observed with Goss's wilt, consistent phenotyping across multiple years poses a hurdle for genetic studies and conventional breeding methods. The objective of this study was to perform a genome-wide association study (GWAS) to identify regions of the genome associated with Goss's wilt resistance as well as to use genomic prediction models to evaluate the utility of genomic selection (GS) in predicting Goss's wilt phenotypes in a panel of diverse maize lines. Using genome-wide association mapping, we were unable to identify any variants significantly associated with Goss's wilt. However, using genomic prediction we were able to train a model with an accuracy of 0.69. Taken together, this suggests that resistance to Goss's wilt is highly polygenic. In addition, when evaluating the accuracy of our prediction model under reduced marker density, it was shown that only 10,000 single nucleotide polymorphisms (SNPs), or ∼20% of our total marker set, was necessary to achieve prediction accuracies similar to the full marker set. This is the first report of genomic prediction for a bacterial disease of maize, and these results highlight the potential of GS for disease resistance in maize.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.