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High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture

This study used high throughput, image-based phenotyping (HTP) to distinguish growth patterns, detect facilitation and interpret variations to nutrient uptake in a model mixed-pasture system in response to factorial low and high nitrogen (N) and phosphorus (P) application. HTP has not previously bee...

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Autores principales: Ball, Kirsten Rae, Power, Sally Anne, Brien, Chris, Woodin, Sarah, Jewell, Nathaniel, Berger, Bettina, Pendall, Elise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540849/
https://www.ncbi.nlm.nih.gov/pubmed/33027289
http://dx.doi.org/10.1371/journal.pone.0239673
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author Ball, Kirsten Rae
Power, Sally Anne
Brien, Chris
Woodin, Sarah
Jewell, Nathaniel
Berger, Bettina
Pendall, Elise
author_facet Ball, Kirsten Rae
Power, Sally Anne
Brien, Chris
Woodin, Sarah
Jewell, Nathaniel
Berger, Bettina
Pendall, Elise
author_sort Ball, Kirsten Rae
collection PubMed
description This study used high throughput, image-based phenotyping (HTP) to distinguish growth patterns, detect facilitation and interpret variations to nutrient uptake in a model mixed-pasture system in response to factorial low and high nitrogen (N) and phosphorus (P) application. HTP has not previously been used to examine pasture species in mixture. We used red-green-blue (RGB) imaging to obtain smoothed projected shoot area (sPSA) to predict absolute growth (AG) up to 70 days after planting (sPSA, DAP 70), to identify variation in relative growth rates (RGR, DAP 35–70) and detect overyielding (an increase in yield in mixture compared with monoculture, indicating facilitation) in a grass-legume model pasture. Finally, using principal components analysis we interpreted between species changes to HTP-derived temporal growth dynamics and nutrient uptake in mixtures and monocultures. Overyielding was detected in all treatments and was driven by both grass and legume. Our data supported expectations of more rapid grass growth and augmented nutrient uptake in the presence of a legume. Legumes grew more slowly in mixture and where growth became more reliant on soil P. Relative growth rate in grass was strongly associated with shoot N concentration, whereas legume RGR was not strongly associated with shoot nutrients. High throughput, image-based phenotyping was a useful tool to quantify growth trait variation between contrasting species and to this end is highly useful in understanding nutrient-yield relationships in mixed pasture cultivations.
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spelling pubmed-75408492020-10-19 High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture Ball, Kirsten Rae Power, Sally Anne Brien, Chris Woodin, Sarah Jewell, Nathaniel Berger, Bettina Pendall, Elise PLoS One Research Article This study used high throughput, image-based phenotyping (HTP) to distinguish growth patterns, detect facilitation and interpret variations to nutrient uptake in a model mixed-pasture system in response to factorial low and high nitrogen (N) and phosphorus (P) application. HTP has not previously been used to examine pasture species in mixture. We used red-green-blue (RGB) imaging to obtain smoothed projected shoot area (sPSA) to predict absolute growth (AG) up to 70 days after planting (sPSA, DAP 70), to identify variation in relative growth rates (RGR, DAP 35–70) and detect overyielding (an increase in yield in mixture compared with monoculture, indicating facilitation) in a grass-legume model pasture. Finally, using principal components analysis we interpreted between species changes to HTP-derived temporal growth dynamics and nutrient uptake in mixtures and monocultures. Overyielding was detected in all treatments and was driven by both grass and legume. Our data supported expectations of more rapid grass growth and augmented nutrient uptake in the presence of a legume. Legumes grew more slowly in mixture and where growth became more reliant on soil P. Relative growth rate in grass was strongly associated with shoot N concentration, whereas legume RGR was not strongly associated with shoot nutrients. High throughput, image-based phenotyping was a useful tool to quantify growth trait variation between contrasting species and to this end is highly useful in understanding nutrient-yield relationships in mixed pasture cultivations. Public Library of Science 2020-10-07 /pmc/articles/PMC7540849/ /pubmed/33027289 http://dx.doi.org/10.1371/journal.pone.0239673 Text en © 2020 Ball et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Ball, Kirsten Rae
Power, Sally Anne
Brien, Chris
Woodin, Sarah
Jewell, Nathaniel
Berger, Bettina
Pendall, Elise
High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture
title High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture
title_full High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture
title_fullStr High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture
title_full_unstemmed High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture
title_short High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture
title_sort high-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540849/
https://www.ncbi.nlm.nih.gov/pubmed/33027289
http://dx.doi.org/10.1371/journal.pone.0239673
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