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Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images

Plant microbiome engineering is a promising tool to unlock crop productivity potential and exceed the yield obtained with conventional chemical inputs. We studied the effect of Aspergillus niger inoculation on in-field lettuce (Lactuca sativa) growth in soils with limiting and non-limiting P concent...

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Autores principales: Silva, Patrick Vieira, Pereira, Lucas Medeiros, Mundim, Gustavo de Souza Marques, Maciel, Gabriel Mascarenhas, de Araújo Gallis, Rodrigo Bezerra, Mendes, Gilberto de Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484672/
https://www.ncbi.nlm.nih.gov/pubmed/36121857
http://dx.doi.org/10.1371/journal.pone.0274731
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author Silva, Patrick Vieira
Pereira, Lucas Medeiros
Mundim, Gustavo de Souza Marques
Maciel, Gabriel Mascarenhas
de Araújo Gallis, Rodrigo Bezerra
Mendes, Gilberto de Oliveira
author_facet Silva, Patrick Vieira
Pereira, Lucas Medeiros
Mundim, Gustavo de Souza Marques
Maciel, Gabriel Mascarenhas
de Araújo Gallis, Rodrigo Bezerra
Mendes, Gilberto de Oliveira
author_sort Silva, Patrick Vieira
collection PubMed
description Plant microbiome engineering is a promising tool to unlock crop productivity potential and exceed the yield obtained with conventional chemical inputs. We studied the effect of Aspergillus niger inoculation on in-field lettuce (Lactuca sativa) growth in soils with limiting and non-limiting P concentrations. Lettuce plants originating from inoculated seeds showed increased plant diameter (6.9%), number of leaves (8.1%), fresh weight (23.9%), and chlorophyll content (3.8%) as compared to non-inoculated ones. Inoculation of the seedling substrate just before transplanting was equally efficient to seed inoculation, while application of a granular formulation at transplanting did not perform well. Plant response to P addition was observed only up to 150 kg P(2)O(5) ha(-1), but A. niger inoculation allowed further increments in all vegetative parameters. We also employed a high-throughput phenotyping method based on aerial images, which allowed us to detect changes in plants due to A. niger inoculation. The visible atmospherically resistant index (VARI) produced an accurate prediction model for chlorophyll content, suggesting this method might be used to large-scale surveys of croplands inoculated with beneficial microorganisms. Our findings demonstrate that A. niger inoculation surpasses the yield obtained with conventional chemical inputs, allowing productivity gains not reached by just increasing P doses.
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spelling pubmed-94846722022-09-20 Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images Silva, Patrick Vieira Pereira, Lucas Medeiros Mundim, Gustavo de Souza Marques Maciel, Gabriel Mascarenhas de Araújo Gallis, Rodrigo Bezerra Mendes, Gilberto de Oliveira PLoS One Research Article Plant microbiome engineering is a promising tool to unlock crop productivity potential and exceed the yield obtained with conventional chemical inputs. We studied the effect of Aspergillus niger inoculation on in-field lettuce (Lactuca sativa) growth in soils with limiting and non-limiting P concentrations. Lettuce plants originating from inoculated seeds showed increased plant diameter (6.9%), number of leaves (8.1%), fresh weight (23.9%), and chlorophyll content (3.8%) as compared to non-inoculated ones. Inoculation of the seedling substrate just before transplanting was equally efficient to seed inoculation, while application of a granular formulation at transplanting did not perform well. Plant response to P addition was observed only up to 150 kg P(2)O(5) ha(-1), but A. niger inoculation allowed further increments in all vegetative parameters. We also employed a high-throughput phenotyping method based on aerial images, which allowed us to detect changes in plants due to A. niger inoculation. The visible atmospherically resistant index (VARI) produced an accurate prediction model for chlorophyll content, suggesting this method might be used to large-scale surveys of croplands inoculated with beneficial microorganisms. Our findings demonstrate that A. niger inoculation surpasses the yield obtained with conventional chemical inputs, allowing productivity gains not reached by just increasing P doses. Public Library of Science 2022-09-19 /pmc/articles/PMC9484672/ /pubmed/36121857 http://dx.doi.org/10.1371/journal.pone.0274731 Text en © 2022 Silva et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Silva, Patrick Vieira
Pereira, Lucas Medeiros
Mundim, Gustavo de Souza Marques
Maciel, Gabriel Mascarenhas
de Araújo Gallis, Rodrigo Bezerra
Mendes, Gilberto de Oliveira
Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images
title Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images
title_full Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images
title_fullStr Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images
title_full_unstemmed Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images
title_short Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images
title_sort field evaluation of the effect of aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484672/
https://www.ncbi.nlm.nih.gov/pubmed/36121857
http://dx.doi.org/10.1371/journal.pone.0274731
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