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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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. 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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0217571</identifier><identifier>PMID: 31173600</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>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</subject><ispartof>PloS one, 2019-06, Vol.14 (6), p.e0217571-e0217571</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Vidotti et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Vidotti et al 2019 Vidotti et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-249887f84e07f016256213e162cdb0d7da00aaa0c734411bfcb85a8dabf0e1333</citedby><cites>FETCH-LOGICAL-c692t-249887f84e07f016256213e162cdb0d7da00aaa0c734411bfcb85a8dabf0e1333</cites><orcidid>0000-0001-6361-9415</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555527/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555527/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31173600$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ulaganathan, Kandasamy</contributor><creatorcontrib>Vidotti, Miriam Suzane</creatorcontrib><creatorcontrib>Matias, Filipe Inácio</creatorcontrib><creatorcontrib>Alves, Filipe Couto</creatorcontrib><creatorcontrib>Pérez-Rodríguez, Paulino</creatorcontrib><creatorcontrib>Beltran, Gregório Alvarado</creatorcontrib><creatorcontrib>Burgueño, Juan</creatorcontrib><creatorcontrib>Crossa, José</creatorcontrib><creatorcontrib>Fritsche-Neto, Roberto</creatorcontrib><title>Maize responsiveness to Azospirillum brasilense: Insights into genetic control, heterosis and genomic prediction</title><title>PloS one</title><addtitle>PLoS One</addtitle><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.</description><subject>Agricultural production</subject><subject>Analysis</subject><subject>Azospirillum brasilense</subject><subject>Azospirillum brasilense - physiology</subject><subject>Bacteria</subject><subject>Biology and Life Sciences</subject><subject>Biometrics</subject><subject>Breeding</subject><subject>Colonization</subject><subject>Combining ability</subject><subject>Corn</subject><subject>Ecology and Environmental Sciences</subject><subject>Engineering and Technology</subject><subject>Gene Regulatory Networks</subject><subject>Genetic aspects</subject><subject>Genetic control</subject><subject>Genome, Plant</subject><subject>Genomics - methods</subject><subject>Genotype & phenotype</subject><subject>Genotypes</subject><subject>Heterosis</subject><subject>Heterozygosity</subject><subject>Heterozygote</subject><subject>Hybrid Vigor - 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physiology</topic><topic>Bacteria</topic><topic>Biology and Life Sciences</topic><topic>Biometrics</topic><topic>Breeding</topic><topic>Colonization</topic><topic>Combining ability</topic><topic>Corn</topic><topic>Ecology and Environmental Sciences</topic><topic>Engineering and Technology</topic><topic>Gene Regulatory Networks</topic><topic>Genetic aspects</topic><topic>Genetic control</topic><topic>Genome, Plant</topic><topic>Genomics - methods</topic><topic>Genotype & phenotype</topic><topic>Genotypes</topic><topic>Heterosis</topic><topic>Heterozygosity</topic><topic>Heterozygote</topic><topic>Hybrid Vigor - genetics</topic><topic>Hybridization, Genetic</topic><topic>Hybrids</topic><topic>Inbreeding</topic><topic>Inheritances</topic><topic>Inoculation</topic><topic>Microorganisms</topic><topic>Nitrogen</topic><topic>Phenotype</topic><topic>Physical Sciences</topic><topic>Plant breeding</topic><topic>Plant growth</topic><topic>Plant Roots - genetics</topic><topic>Plant Roots - growth & development</topic><topic>Prediction models</topic><topic>Proteobacteria</topic><topic>Quantitative genetics</topic><topic>Quantitative Trait, Heritable</topic><topic>Research and Analysis Methods</topic><topic>Retirement benefits</topic><topic>Statistics</topic><topic>Stress</topic><topic>Stress, Physiological - 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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. 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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31173600</pmid><doi>10.1371/journal.pone.0217571</doi><tpages>e0217571</tpages><orcidid>https://orcid.org/0000-0001-6361-9415</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
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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