ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2021
Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Meta-analysis and co-expression analysis revealed stable QTL and candidate genes conferring resistances to Fusarium and Gibberella ear rots while reducing mycotoxin contamination in maize.Frontiers in plant science · 2022Pooled it
- Identification of ZmGLN5, a candidate gene for resistance to Gibberella ear rot in maize.Molecular biology reports · 2026Article
- Genomic loci associated with Fusarium stalk rot resistance and related agronomic traits in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Bulked Segregant Analysis Revealed the Common Resistant QTLs Associated with Fusarium Ear Rot and Gibberella Ear Rot in Maize.Plants (Basel, Switzerland) · 2026Article
- Article
- Integrated genomic analysis of a diverse maize population reveals novel genes and superior predictive models for ear diameter.BMC genomics · 2025Article
- Precise Identification and Analysis of Maize Germplasm Resistance to Ear Rot Caused by SixPlants (Basel, Switzerland) · 2025Article
- Optimization of recurrent rapid cycle breeding in maize for sustained long-term genetic improvement via stochastic simulations.G3 (Bethesda, Md.) · 2025Article
- Genetic and Genomic Tools in Breeding for Resistance to Fusarium Stalk Rot in Maize (Plants (Basel, Switzerland) · 2025Review
- Genome-wide association study and molecular marker development for susceptibility to Gibberella ear rot in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-Wide Association Study and Prediction of Tassel Weight of Tropical Maize Germplasm in Multi-Parent Population.International journal of molecular sciences · 2024Article
- Food Safety Aspects of Breeding Maize to Multi-Resistance against the MajorJournal of fungi (Basel, Switzerland) · 2024Review
- Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat.Scientific reports · 2023Article
- Haplotype-tagged SNPs improve genomic prediction accuracy for Fusarium head blight resistance and yield-related traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Article
- Article
- Back to the wild: mining maize (Zea mays L.) disease resistance using advanced breeding tools.Molecular biology reports · 2022Article
- Discovery of Resistance Genes in Rye by Targeted Long-Read Sequencing and Association Genetics.Cells · 2022Article
- Importance of Landraces in Cereal Breeding for Stress Tolerance.Plants (Basel, Switzerland) · 2021Review
- Genome-Wide Association Analysis and Genomic Prediction for Adult-Plant Resistance to Septoria Tritici Blotch and Powdery Mildew in Winter Wheat.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
key messageHigh genetic variation in two European maize landraces can be harnessed to improve Gibberella ear rot resistance by integrated genomic tools. Fusarium graminearum (Fg) causes Gibberella ear rot (GER) in maize leading to yield reduction and contamination of grains with several mycotoxins. This study aimed to elucidate the molecular basis of GER resistance among 500 doubled haploid lines derived from two European maize landraces, "Kemater Landmais Gelb" (KE) and "Petkuser Ferdinand Rot" (PE). The two landraces were analyzed individually using genome-wide association studies and genomic selection (GS). The lines were genotyped with a 600-k maize array and phenotyped for GER severity, days to silking, plant height, and seed-set in four environments using artificial infection with a highly aggressive Fg isolate. High genotypic variances and broad-sense heritabilities were found for all traits. Genotype-environment interaction was important throughout. The phenotypic (r) and genotypic ([Formula: see text]) correlations between GER severity and three agronomic traits were low (r = - 0.27 to 0.20; [Formula: see text]= - 0.32 to 0.22). For GER severity, eight QTLs were detected in KE jointly explaining 34% of the genetic variance. In PE, no significant QTLs for GER severity were detected. No common QTLs were found between GER severity and the three agronomic traits. The mean prediction accuracies ([Formula: see text]) of weighted GS (wRR-BLUP) were higher than [Formula: see text] of marker-assisted selection (MAS) and unweighted GS (RR-BLUP) for GER severity. Using KE as the training set and PE as the validation set resulted in very low [Formula: see text] that could be improved by using fixed marker effects in the GS model.
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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.