Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bragantia |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000200224 |
Resumo: | ABSTRACT Developing biofortified foods such as lettuce is a frequent goal of breeding programs. One obstacle to the success of these efforts is the high temporal and financial cost of determining leaf constituents. Image phenotyping has been increasingly used in crop breeding, but not in lettuce breeding. Until now, the use of image phenotyping to indirectly select carotenoid-rich lettuce inbred lines has not been reported. Therefore, the goal of this study was to use image phenotyping to select lettuce inbred lines with different carotenoid levels. Twenty-two inbred lettuce lines, resulting from the hybridization of the cultivars Pira 72 and Uberlândia 10000 and six successive selfings were evaluated. ‘Grand Rapids’, ‘UFU-Biofort’ and ‘Uberlândia 10000’ were used as controls. The following variables were evaluated: agronomic potential, apparent genetic diversity and image phenotyping. The data were submitted to the ANOVA F test (p ≤ 0.05) and means compared by the Scott–Knott test (p ≤ 0.05). Genetic divergence was represented by dendrograms constructed by UPGMA and the Tocher optimization method. The relative contribution of characters was assessed to identify the most relevant response variable. The genetic diversity of the evaluated germplasm bank was the greatest regarding soil plant analysis development (SPAD)/carotenoid values. Image phenotyping was successfully used to detect different levels of SPAD/carotenoid levels and could be a useful tool for plant breeding. The results of this study can be used to predict the nutritional values of the carotenoid content in lettuce leaves before commercialization. |
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Image phenotyping of lettuce germplasm with genetically diverse carotenoid levelsgeotechnologybiofortificationLactuca sativa L.unmanned aerial vehicle (UAV)ABSTRACT Developing biofortified foods such as lettuce is a frequent goal of breeding programs. One obstacle to the success of these efforts is the high temporal and financial cost of determining leaf constituents. Image phenotyping has been increasingly used in crop breeding, but not in lettuce breeding. Until now, the use of image phenotyping to indirectly select carotenoid-rich lettuce inbred lines has not been reported. Therefore, the goal of this study was to use image phenotyping to select lettuce inbred lines with different carotenoid levels. Twenty-two inbred lettuce lines, resulting from the hybridization of the cultivars Pira 72 and Uberlândia 10000 and six successive selfings were evaluated. ‘Grand Rapids’, ‘UFU-Biofort’ and ‘Uberlândia 10000’ were used as controls. The following variables were evaluated: agronomic potential, apparent genetic diversity and image phenotyping. The data were submitted to the ANOVA F test (p ≤ 0.05) and means compared by the Scott–Knott test (p ≤ 0.05). Genetic divergence was represented by dendrograms constructed by UPGMA and the Tocher optimization method. The relative contribution of characters was assessed to identify the most relevant response variable. The genetic diversity of the evaluated germplasm bank was the greatest regarding soil plant analysis development (SPAD)/carotenoid values. Image phenotyping was successfully used to detect different levels of SPAD/carotenoid levels and could be a useful tool for plant breeding. The results of this study can be used to predict the nutritional values of the carotenoid content in lettuce leaves before commercialization.Instituto Agronômico de Campinas2020-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000200224Bragantia v.79 n.2 2020reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20190519info:eu-repo/semantics/openAccessMaciel,Gabriel MascarenhasGallis,Rodrigo Bezerra de AraújoBarbosa,Ricardo LuísPereira,Lucas MedeirosSiquieroli,Ana Carolina SilvaPeixoto,Joicy Vitória Mirandaeng2020-05-28T00:00:00Zoai:scielo:S0006-87052020000200224Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2020-05-28T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false |
dc.title.none.fl_str_mv |
Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels |
title |
Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels |
spellingShingle |
Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels Maciel,Gabriel Mascarenhas geotechnology biofortification Lactuca sativa L. unmanned aerial vehicle (UAV) |
title_short |
Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels |
title_full |
Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels |
title_fullStr |
Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels |
title_full_unstemmed |
Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels |
title_sort |
Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels |
author |
Maciel,Gabriel Mascarenhas |
author_facet |
Maciel,Gabriel Mascarenhas Gallis,Rodrigo Bezerra de Araújo Barbosa,Ricardo Luís Pereira,Lucas Medeiros Siquieroli,Ana Carolina Silva Peixoto,Joicy Vitória Miranda |
author_role |
author |
author2 |
Gallis,Rodrigo Bezerra de Araújo Barbosa,Ricardo Luís Pereira,Lucas Medeiros Siquieroli,Ana Carolina Silva Peixoto,Joicy Vitória Miranda |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Maciel,Gabriel Mascarenhas Gallis,Rodrigo Bezerra de Araújo Barbosa,Ricardo Luís Pereira,Lucas Medeiros Siquieroli,Ana Carolina Silva Peixoto,Joicy Vitória Miranda |
dc.subject.por.fl_str_mv |
geotechnology biofortification Lactuca sativa L. unmanned aerial vehicle (UAV) |
topic |
geotechnology biofortification Lactuca sativa L. unmanned aerial vehicle (UAV) |
description |
ABSTRACT Developing biofortified foods such as lettuce is a frequent goal of breeding programs. One obstacle to the success of these efforts is the high temporal and financial cost of determining leaf constituents. Image phenotyping has been increasingly used in crop breeding, but not in lettuce breeding. Until now, the use of image phenotyping to indirectly select carotenoid-rich lettuce inbred lines has not been reported. Therefore, the goal of this study was to use image phenotyping to select lettuce inbred lines with different carotenoid levels. Twenty-two inbred lettuce lines, resulting from the hybridization of the cultivars Pira 72 and Uberlândia 10000 and six successive selfings were evaluated. ‘Grand Rapids’, ‘UFU-Biofort’ and ‘Uberlândia 10000’ were used as controls. The following variables were evaluated: agronomic potential, apparent genetic diversity and image phenotyping. The data were submitted to the ANOVA F test (p ≤ 0.05) and means compared by the Scott–Knott test (p ≤ 0.05). Genetic divergence was represented by dendrograms constructed by UPGMA and the Tocher optimization method. The relative contribution of characters was assessed to identify the most relevant response variable. The genetic diversity of the evaluated germplasm bank was the greatest regarding soil plant analysis development (SPAD)/carotenoid values. Image phenotyping was successfully used to detect different levels of SPAD/carotenoid levels and could be a useful tool for plant breeding. The results of this study can be used to predict the nutritional values of the carotenoid content in lettuce leaves before commercialization. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000200224 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052020000200224 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4499.20190519 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto Agronômico de Campinas |
publisher.none.fl_str_mv |
Instituto Agronômico de Campinas |
dc.source.none.fl_str_mv |
Bragantia v.79 n.2 2020 reponame:Bragantia instname:Instituto Agronômico de Campinas (IAC) instacron:IAC |
instname_str |
Instituto Agronômico de Campinas (IAC) |
instacron_str |
IAC |
institution |
IAC |
reponame_str |
Bragantia |
collection |
Bragantia |
repository.name.fl_str_mv |
Bragantia - Instituto Agronômico de Campinas (IAC) |
repository.mail.fl_str_mv |
bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br |
_version_ |
1754193307570798592 |