Papaya recombinant inbred lines selection by image-based phenotyping

Detalhes bibliográficos
Autor(a) principal: Cortes, Diego Fernando Marmolejo
Data de Publicação: 2018
Outros Autores: Santa-Catarina, Renato, Azevedo, Alinne Oliveira Nunes, Poltronieri, Tathianne Pastana de Sousa, Vettorazzi, Julio Cesar Fiorio, Moreira, Nádia Fernandes, Ferreguetti, Geraldo Antônio, Ramos, Helaine Christine Cancela, Viana, Alexandre Pio, Pereira, Messias Gonzaga
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/142947
Resumo: The selection of superior Carica papaya (L) genotypes depends on the availability of genetic variability and on the favorable and simultaneous response of the genotypes to those traits of most interest. However, manual phenotyping (MP) demands intensive labor, is time-consuming and expensive. The aim of the current study is to access the efficiency of image-based phenotyping (IBP) in estimating genetic parameters and in selecting F4 recombinant inbred lines. The genetic parameters and values were estimated in accordance with the REML/BLUB procedure and combined selection using the selection index based on standardized genetic values. The majority of traits accessed through IBP showed experimental coefficients of variation similar to those found through MP. Both methodologies showed genetic parameters of similar magnitude, indicating expressive genetic variability between lines in the traits accessed in this study. The same superior lines were indicated in both methodologies and expressive genetic gains obtained through the lines were selected for all traits. IBP performance was similar to that of MP with respect to the estimates of breeding-relevant traits such as commercial fruits and yield. Thus, IBP showed efficient phenotypic assessment, as well as selective accuracy in accessing genetic variability and genetic gains, when it was compared to MP. Since IBP is far less dependent on labor, it is expected to be incorporated into the routine of papaya breeding programs as a way of increasing the number of accessed lines and, consequently, increasing genetic gains.
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spelling Papaya recombinant inbred lines selection by image-based phenotypingCarica papayadigital phenotypinggenetic gainsgenetic parameters The selection of superior Carica papaya (L) genotypes depends on the availability of genetic variability and on the favorable and simultaneous response of the genotypes to those traits of most interest. However, manual phenotyping (MP) demands intensive labor, is time-consuming and expensive. The aim of the current study is to access the efficiency of image-based phenotyping (IBP) in estimating genetic parameters and in selecting F4 recombinant inbred lines. The genetic parameters and values were estimated in accordance with the REML/BLUB procedure and combined selection using the selection index based on standardized genetic values. The majority of traits accessed through IBP showed experimental coefficients of variation similar to those found through MP. Both methodologies showed genetic parameters of similar magnitude, indicating expressive genetic variability between lines in the traits accessed in this study. The same superior lines were indicated in both methodologies and expressive genetic gains obtained through the lines were selected for all traits. IBP performance was similar to that of MP with respect to the estimates of breeding-relevant traits such as commercial fruits and yield. Thus, IBP showed efficient phenotypic assessment, as well as selective accuracy in accessing genetic variability and genetic gains, when it was compared to MP. Since IBP is far less dependent on labor, it is expected to be incorporated into the routine of papaya breeding programs as a way of increasing the number of accessed lines and, consequently, increasing genetic gains.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2018-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/14294710.1590/1678-992x-2016-0482Scientia Agricola; v. 75 n. 3 (2018); 208-215Scientia Agricola; Vol. 75 Núm. 3 (2018); 208-215Scientia Agricola; Vol. 75 No. 3 (2018); 208-2151678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/142947/137809Copyright (c) 2018 Scientia Agricolainfo:eu-repo/semantics/openAccessCortes, Diego Fernando MarmolejoSanta-Catarina, RenatoAzevedo, Alinne Oliveira NunesPoltronieri, Tathianne Pastana de SousaVettorazzi, Julio Cesar FiorioMoreira, Nádia FernandesFerreguetti, Geraldo AntônioRamos, Helaine Christine CancelaViana, Alexandre PioPereira, Messias Gonzaga2018-02-01T17:04:55Zoai:revistas.usp.br:article/142947Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2018-02-01T17:04:55Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Papaya recombinant inbred lines selection by image-based phenotyping
title Papaya recombinant inbred lines selection by image-based phenotyping
spellingShingle Papaya recombinant inbred lines selection by image-based phenotyping
Cortes, Diego Fernando Marmolejo
Carica papaya
digital phenotyping
genetic gains
genetic parameters
title_short Papaya recombinant inbred lines selection by image-based phenotyping
title_full Papaya recombinant inbred lines selection by image-based phenotyping
title_fullStr Papaya recombinant inbred lines selection by image-based phenotyping
title_full_unstemmed Papaya recombinant inbred lines selection by image-based phenotyping
title_sort Papaya recombinant inbred lines selection by image-based phenotyping
author Cortes, Diego Fernando Marmolejo
author_facet Cortes, Diego Fernando Marmolejo
Santa-Catarina, Renato
Azevedo, Alinne Oliveira Nunes
Poltronieri, Tathianne Pastana de Sousa
Vettorazzi, Julio Cesar Fiorio
Moreira, Nádia Fernandes
Ferreguetti, Geraldo Antônio
Ramos, Helaine Christine Cancela
Viana, Alexandre Pio
Pereira, Messias Gonzaga
author_role author
author2 Santa-Catarina, Renato
Azevedo, Alinne Oliveira Nunes
Poltronieri, Tathianne Pastana de Sousa
Vettorazzi, Julio Cesar Fiorio
Moreira, Nádia Fernandes
Ferreguetti, Geraldo Antônio
Ramos, Helaine Christine Cancela
Viana, Alexandre Pio
Pereira, Messias Gonzaga
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Cortes, Diego Fernando Marmolejo
Santa-Catarina, Renato
Azevedo, Alinne Oliveira Nunes
Poltronieri, Tathianne Pastana de Sousa
Vettorazzi, Julio Cesar Fiorio
Moreira, Nádia Fernandes
Ferreguetti, Geraldo Antônio
Ramos, Helaine Christine Cancela
Viana, Alexandre Pio
Pereira, Messias Gonzaga
dc.subject.por.fl_str_mv Carica papaya
digital phenotyping
genetic gains
genetic parameters
topic Carica papaya
digital phenotyping
genetic gains
genetic parameters
description The selection of superior Carica papaya (L) genotypes depends on the availability of genetic variability and on the favorable and simultaneous response of the genotypes to those traits of most interest. However, manual phenotyping (MP) demands intensive labor, is time-consuming and expensive. The aim of the current study is to access the efficiency of image-based phenotyping (IBP) in estimating genetic parameters and in selecting F4 recombinant inbred lines. The genetic parameters and values were estimated in accordance with the REML/BLUB procedure and combined selection using the selection index based on standardized genetic values. The majority of traits accessed through IBP showed experimental coefficients of variation similar to those found through MP. Both methodologies showed genetic parameters of similar magnitude, indicating expressive genetic variability between lines in the traits accessed in this study. The same superior lines were indicated in both methodologies and expressive genetic gains obtained through the lines were selected for all traits. IBP performance was similar to that of MP with respect to the estimates of breeding-relevant traits such as commercial fruits and yield. Thus, IBP showed efficient phenotypic assessment, as well as selective accuracy in accessing genetic variability and genetic gains, when it was compared to MP. Since IBP is far less dependent on labor, it is expected to be incorporated into the routine of papaya breeding programs as a way of increasing the number of accessed lines and, consequently, increasing genetic gains.
publishDate 2018
dc.date.none.fl_str_mv 2018-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/142947
10.1590/1678-992x-2016-0482
url https://www.revistas.usp.br/sa/article/view/142947
identifier_str_mv 10.1590/1678-992x-2016-0482
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/142947/137809
dc.rights.driver.fl_str_mv Copyright (c) 2018 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 75 n. 3 (2018); 208-215
Scientia Agricola; Vol. 75 Núm. 3 (2018); 208-215
Scientia Agricola; Vol. 75 No. 3 (2018); 208-215
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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