Maize responsiveness to Azospirillum brasilense: Insights into genetic control, heterosis and genomic prediction

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 t...

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Veröffentlicht in:PloS one 2019-06, Vol.14 (6), p.e0217571-e0217571
Hauptverfasser: Vidotti, Miriam Suzane, Matias, Filipe Inácio, Alves, Filipe Couto, Pérez-Rodríguez, Paulino, Beltran, Gregório Alvarado, Burgueño, Juan, Crossa, José, Fritsche-Neto, Roberto
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creator Vidotti, Miriam Suzane
Matias, Filipe Inácio
Alves, Filipe Couto
Pérez-Rodríguez, Paulino
Beltran, Gregório Alvarado
Burgueño, Juan
Crossa, José
Fritsche-Neto, Roberto
description 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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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. 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subjects Agricultural production
Analysis
Azospirillum brasilense
Azospirillum brasilense - physiology
Bacteria
Biology and Life Sciences
Biometrics
Breeding
Colonization
Combining ability
Corn
Ecology and Environmental Sciences
Engineering and Technology
Gene Regulatory Networks
Genetic aspects
Genetic control
Genome, Plant
Genomics - methods
Genotype & phenotype
Genotypes
Heterosis
Heterozygosity
Heterozygote
Hybrid Vigor - genetics
Hybridization, Genetic
Hybrids
Inbreeding
Inheritances
Inoculation
Microorganisms
Nitrogen
Phenotype
Physical Sciences
Plant breeding
Plant growth
Plant Roots - genetics
Plant Roots - growth & development
Prediction models
Proteobacteria
Quantitative genetics
Quantitative Trait, Heritable
Research and Analysis Methods
Retirement benefits
Statistics
Stress
Stress, Physiological - genetics
Zea mays - genetics
title Maize responsiveness to Azospirillum brasilense: Insights into genetic control, heterosis and genomic prediction
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