PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture

ABSTRACT: The root system architecture (RSA) of plants and its functioning play a fundamental role in a number of plant growth mechanisms including water and nutrient uptake. Optimization of the RSA is important for stable and increased plant productivity under adverse conditions. Despite its great importance, studying the RSA is notoriously laborious because of the difficulty of accessing the rooting system of plants. We developed a root phenotyping platform, PhenoRoots, which allows for the non-invasive study of plant RSA. The system was built using inexpensive material and was designed to provide medium throughput. Substrate or soil-filled rhizotrons are used to grow plantlets, whose roots are directly visible through a glass plate. An experiment conducted on a panel of twenty Upland cotton (Gossypium hirsutum L.) varieties demonstrated the usefulness of the platform in assessing RSA traits. A number of traits, destructive and non-destructive, related to the RSA were measured and statistically analyzed. The non-destructive traits based on image analysis of roots were more accurate and showed high correlation with the time-consuming destructive measurements. The platform allowed for capturing the phenotypic and genetic variability found in the panel of cotton varieties, and to define three contrasting RSA patterns. PhenoRoots provides an inexpensive alternative to the medium throughput analysis of RSA traits in plants.

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Main Authors: Martins,Saulo Muniz, Brito,Giovani Greigh de, Gonçalves,Washington da Conceição, Tripode,Bruna Mendes Diniz, Lartaud,Marc, Duarte,João Batista, Morello,Camilo de Lelis, Giband,Marc
Format: Digital revista
Language:English
Published: Escola Superior de Agricultura "Luiz de Queiroz" 2020
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000501101
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spelling oai:scielo:S0103-901620200005011012019-12-12PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architectureMartins,Saulo MunizBrito,Giovani Greigh deGonçalves,Washington da ConceiçãoTripode,Bruna Mendes DinizLartaud,MarcDuarte,João BatistaMorello,Camilo de LelisGiband,Marc rhizotron root traits image analysis medium-throughput cotton ABSTRACT: The root system architecture (RSA) of plants and its functioning play a fundamental role in a number of plant growth mechanisms including water and nutrient uptake. Optimization of the RSA is important for stable and increased plant productivity under adverse conditions. Despite its great importance, studying the RSA is notoriously laborious because of the difficulty of accessing the rooting system of plants. We developed a root phenotyping platform, PhenoRoots, which allows for the non-invasive study of plant RSA. The system was built using inexpensive material and was designed to provide medium throughput. Substrate or soil-filled rhizotrons are used to grow plantlets, whose roots are directly visible through a glass plate. An experiment conducted on a panel of twenty Upland cotton (Gossypium hirsutum L.) varieties demonstrated the usefulness of the platform in assessing RSA traits. A number of traits, destructive and non-destructive, related to the RSA were measured and statistically analyzed. The non-destructive traits based on image analysis of roots were more accurate and showed high correlation with the time-consuming destructive measurements. The platform allowed for capturing the phenotypic and genetic variability found in the panel of cotton varieties, and to define three contrasting RSA patterns. PhenoRoots provides an inexpensive alternative to the medium throughput analysis of RSA traits in plants.info:eu-repo/semantics/openAccessEscola Superior de Agricultura "Luiz de Queiroz"Scientia Agricola v.77 n.5 20202020-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000501101en10.1590/1678-992x-2018-0420
institution SCIELO
collection OJS
country Brasil
countrycode BR
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access En linea
databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Martins,Saulo Muniz
Brito,Giovani Greigh de
Gonçalves,Washington da Conceição
Tripode,Bruna Mendes Diniz
Lartaud,Marc
Duarte,João Batista
Morello,Camilo de Lelis
Giband,Marc
spellingShingle Martins,Saulo Muniz
Brito,Giovani Greigh de
Gonçalves,Washington da Conceição
Tripode,Bruna Mendes Diniz
Lartaud,Marc
Duarte,João Batista
Morello,Camilo de Lelis
Giband,Marc
PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture
author_facet Martins,Saulo Muniz
Brito,Giovani Greigh de
Gonçalves,Washington da Conceição
Tripode,Bruna Mendes Diniz
Lartaud,Marc
Duarte,João Batista
Morello,Camilo de Lelis
Giband,Marc
author_sort Martins,Saulo Muniz
title PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture
title_short PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture
title_full PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture
title_fullStr PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture
title_full_unstemmed PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture
title_sort phenoroots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture
description ABSTRACT: The root system architecture (RSA) of plants and its functioning play a fundamental role in a number of plant growth mechanisms including water and nutrient uptake. Optimization of the RSA is important for stable and increased plant productivity under adverse conditions. Despite its great importance, studying the RSA is notoriously laborious because of the difficulty of accessing the rooting system of plants. We developed a root phenotyping platform, PhenoRoots, which allows for the non-invasive study of plant RSA. The system was built using inexpensive material and was designed to provide medium throughput. Substrate or soil-filled rhizotrons are used to grow plantlets, whose roots are directly visible through a glass plate. An experiment conducted on a panel of twenty Upland cotton (Gossypium hirsutum L.) varieties demonstrated the usefulness of the platform in assessing RSA traits. A number of traits, destructive and non-destructive, related to the RSA were measured and statistically analyzed. The non-destructive traits based on image analysis of roots were more accurate and showed high correlation with the time-consuming destructive measurements. The platform allowed for capturing the phenotypic and genetic variability found in the panel of cotton varieties, and to define three contrasting RSA patterns. PhenoRoots provides an inexpensive alternative to the medium throughput analysis of RSA traits in plants.
publisher Escola Superior de Agricultura "Luiz de Queiroz"
publishDate 2020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000501101
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