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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9484672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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