ArticlePloS one2019
Maize responsiveness to Azospirillum brasilense: Insights into genetic control, heterosis and genomic prediction.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review.Frontiers in plant science · 2021Pooled it
- Rhizosheath inhabiting Massilia are linked to heterosis in roots of maize.Nature communications · 2025Article
- Toward Ecologically Relevant Genetics of Interactions Between Host Plants and Plant Growth-Promoting Bacteria.Advanced genetics (Hoboken, N.J.) · 2024Article
- Meta-omics integration approach reveals the effect of soil native microbiome diversity in the performance of inoculantFrontiers in plant science · 2023Article
- Combining ability and testcross performance of multi-nutrient maize under stress and non-stress environments.Frontiers in plant science · 2023Article
- On the genetic architecture in a public tropical maize panel of the symbiosis between corn and plant growth-promoting bacteria aiming to improve plant resilience.Molecular breeding : new strategies in plant improvement · 2021Article
- Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in Maize.Frontiers in plant science · 2021Article
- Diallelic Analysis of Tropical Maize Germplasm Response to Spontaneous Chromosomal Doubling.Plants (Basel, Switzerland) · 2020Article
- Beneficial soil-borne bacteria and fungi: a promising way to improve plant nitrogen acquisition.Journal of experimental botany · 2020Review
- Corn Responsiveness toPlants (Basel, Switzerland) · 2020Article
- Hybrid Breeding for MLN Resistance: Heterosis, Combining Ability, and Hybrid Prediction.Plants (Basel, Switzerland) · 2020Article
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8 authors.
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Abstract
Several studies have shown differences in the abilities of maize genotypes to facilitate or impede Azospirillum brasilense colonization and to receive benefits from this association. Hence, our aim was to study the genetic control, heterosis effect and the prediction accuracy of the shoot and root traits of maize in response to A. brasilense. For that, we evaluated 118 hybrids under two contrasting scenarios: i) N stress (control) and ii) N stress plus A. brasilense inoculation. The diallel analyses were performed using mixed model equations, and the genomic prediction models accounted for the general and specific combining ability (GCA and SCA, respectively) and the presence or not of G×E effects. In addition, the genomic models were fitted considering parametric (G-BLUP) and semi-parametric (RKHS) kernels. The genotypes showed significant inoculation effect for five root traits, and the GCA and SCA were significant for both. The GCA in the inoculated treatment presented a greater magnitude than the control, whereas the opposite was observed for SCA. Heterosis was weakly influenced by the inoculation, and the heterozygosity and N status in the plant can have a role in the benefits that can be obtained from this Plant Growth-Promoting Bacteria (PGPB). Prediction accuracies for N stress plus A. brasilense ranged from 0.42 to 0.78, depending on the scenario and trait, and were higher, in most cases, than the non-inoculated treatment. Finally, our findings provide an understanding of the quantitative variation of maize responsiveness to A. brasilense and important insights to be applied in maize breeding aiming the development of superior hybrids for this association.
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