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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484672/?tool=EBI |
| _version_ | 1818062349614972928 |
|---|---|
| author | Patrick Vieira Silva Lucas Medeiros Pereira Gustavo de Souza Marques Mundim Gabriel Mascarenhas Maciel Rodrigo Bezerra de Araújo Gallis Gilberto de Oliveira Mendes |
| author_facet | Patrick Vieira Silva Lucas Medeiros Pereira Gustavo de Souza Marques Mundim Gabriel Mascarenhas Maciel Rodrigo Bezerra de Araújo Gallis Gilberto de Oliveira Mendes |
| author_sort | Patrick Vieira Silva |
| collection | DOAJ |
| 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 P2O5 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. |
| first_indexed | 2024-12-10T14:02:48Z |
| format | Article |
| id | doaj.art-2eb91f7ee4694401a0f9cea8bb6ee5c7 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T14:02:48Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-2eb91f7ee4694401a0f9cea8bb6ee5c72022-12-22T01:45:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01179Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial imagesPatrick Vieira SilvaLucas Medeiros PereiraGustavo de Souza Marques MundimGabriel Mascarenhas MacielRodrigo Bezerra de Araújo GallisGilberto de Oliveira MendesPlant 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 P2O5 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484672/?tool=EBI |
| spellingShingle | Patrick Vieira Silva Lucas Medeiros Pereira Gustavo de Souza Marques Mundim Gabriel Mascarenhas Maciel Rodrigo Bezerra de Araújo Gallis Gilberto de Oliveira Mendes Field evaluation of the effect of Aspergillus niger on lettuce growth using conventional measurements and a high-throughput phenotyping method based on aerial images PLoS ONE |
| 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 |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484672/?tool=EBI |
| work_keys_str_mv | AT patrickvieirasilva fieldevaluationoftheeffectofaspergillusnigeronlettucegrowthusingconventionalmeasurementsandahighthroughputphenotypingmethodbasedonaerialimages AT lucasmedeirospereira fieldevaluationoftheeffectofaspergillusnigeronlettucegrowthusingconventionalmeasurementsandahighthroughputphenotypingmethodbasedonaerialimages AT gustavodesouzamarquesmundim fieldevaluationoftheeffectofaspergillusnigeronlettucegrowthusingconventionalmeasurementsandahighthroughputphenotypingmethodbasedonaerialimages AT gabrielmascarenhasmaciel fieldevaluationoftheeffectofaspergillusnigeronlettucegrowthusingconventionalmeasurementsandahighthroughputphenotypingmethodbasedonaerialimages AT rodrigobezerradearaujogallis fieldevaluationoftheeffectofaspergillusnigeronlettucegrowthusingconventionalmeasurementsandahighthroughputphenotypingmethodbasedonaerialimages AT gilbertodeoliveiramendes fieldevaluationoftheeffectofaspergillusnigeronlettucegrowthusingconventionalmeasurementsandahighthroughputphenotypingmethodbasedonaerialimages |