Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations

Detalhes bibliográficos
Autor(a) principal: Carvalho, Everton V. [UNESP]
Data de Publicação: 2021
Outros Autores: Cifuentes-Arenas, Juan C., Raiol-Junior, Laudecir L., Stuchi, Eduardo S., Girardi, Eduardo A., Lopes, Silvio A. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.scienta.2021.110358
http://hdl.handle.net/11449/221923
Resumo: Occurrence, intensity, and growth patterns of new shoots (NS) were evaluated in orchards of ‘Pera’ and ‘Folha Murcha’ sweet oranges (Citrus × aurantium var. sinensis L.), ‘Ponkan’ mandarin (C. reticulata Blanco) and Persian lime (C. × latifolia var. latifolia) grafted on nine rootstocks to determine potential impacts of scion-rootstock combinations on NS growth parameters favorable to Diaphorina citri. NS number and the area under flush shoot dynamics were used to compare NS intensities. NS number (dependent variable) and meteorological elements (independent variables) were used through multiple linear regression to describe NS occurrences. NS growth data were compared through non-linear regression based on degree-days. NS occurrence dynamics were similar for all combinations, but the intensity was significantly higher on ‘Florida’ rough lemon than on ‘Flying Dragon’ trifoliate. Occurrence of NS on ‘Pera’, ‘Folha Murcha’ and Persian varieties associated positively (P < 0.05) with an increase of minimum and average temperatures (avg. adjusted R2 = 0.406; 0.408; 0.403, respectively), whereas on ‘Ponkan’ was related to the accumulated rainfall (avg. adj. R2 = 0.311). NS grew faster and attained longer lengths during spring (102.7 mm during 34 days) than autumn (71.9 mm during 42 days), except for ‘Folha Murcha’ which took longer to grow and reached shorter lengths (78.8 mm during 38 days) during spring, and longer lengths during autumn (118.3 mm during 42 days). Logistic models better fitted NS growth data (avg. adj. R2 ≥ 0.94). The adjusted R2 values of regression models developed to predict NS occurrence during the study were not high enough to estimate optimum timing to start insecticide applications for the control of D. citri. However, the adjusted R2 values attained for NS growth can be used to improve timing, and thereby adjust frequency of insecticide applications.
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spelling Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinationsCitrus spp.GraftingMeteorological conditionsNon-linear regressionPlant growth dynamicsPoncirus trifoliataOccurrence, intensity, and growth patterns of new shoots (NS) were evaluated in orchards of ‘Pera’ and ‘Folha Murcha’ sweet oranges (Citrus × aurantium var. sinensis L.), ‘Ponkan’ mandarin (C. reticulata Blanco) and Persian lime (C. × latifolia var. latifolia) grafted on nine rootstocks to determine potential impacts of scion-rootstock combinations on NS growth parameters favorable to Diaphorina citri. NS number and the area under flush shoot dynamics were used to compare NS intensities. NS number (dependent variable) and meteorological elements (independent variables) were used through multiple linear regression to describe NS occurrences. NS growth data were compared through non-linear regression based on degree-days. NS occurrence dynamics were similar for all combinations, but the intensity was significantly higher on ‘Florida’ rough lemon than on ‘Flying Dragon’ trifoliate. Occurrence of NS on ‘Pera’, ‘Folha Murcha’ and Persian varieties associated positively (P < 0.05) with an increase of minimum and average temperatures (avg. adjusted R2 = 0.406; 0.408; 0.403, respectively), whereas on ‘Ponkan’ was related to the accumulated rainfall (avg. adj. R2 = 0.311). NS grew faster and attained longer lengths during spring (102.7 mm during 34 days) than autumn (71.9 mm during 42 days), except for ‘Folha Murcha’ which took longer to grow and reached shorter lengths (78.8 mm during 38 days) during spring, and longer lengths during autumn (118.3 mm during 42 days). Logistic models better fitted NS growth data (avg. adj. R2 ≥ 0.94). The adjusted R2 values of regression models developed to predict NS occurrence during the study were not high enough to estimate optimum timing to start insecticide applications for the control of D. citri. However, the adjusted R2 values attained for NS growth can be used to improve timing, and thereby adjust frequency of insecticide applications.Faculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista “Júlio de Mesquita Filho”Fundo de Defesa da Citricultura (Fundecitrus)Embrapa Mandioca e FruticulturaFaculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista “Júlio de Mesquita Filho”Universidade Estadual Paulista (UNESP)Fundo de Defesa da Citricultura (Fundecitrus)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Carvalho, Everton V. [UNESP]Cifuentes-Arenas, Juan C.Raiol-Junior, Laudecir L.Stuchi, Eduardo S.Girardi, Eduardo A.Lopes, Silvio A. [UNESP]2022-04-28T19:41:25Z2022-04-28T19:41:25Z2021-10-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.scienta.2021.110358Scientia Horticulturae, v. 288.0304-4238http://hdl.handle.net/11449/22192310.1016/j.scienta.2021.1103582-s2.0-85109475898Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientia Horticulturaeinfo:eu-repo/semantics/openAccess2022-04-28T19:41:25Zoai:repositorio.unesp.br:11449/221923Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:41:25Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations
title Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations
spellingShingle Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations
Carvalho, Everton V. [UNESP]
Citrus spp.
Grafting
Meteorological conditions
Non-linear regression
Plant growth dynamics
Poncirus trifoliata
title_short Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations
title_full Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations
title_fullStr Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations
title_full_unstemmed Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations
title_sort Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations
author Carvalho, Everton V. [UNESP]
author_facet Carvalho, Everton V. [UNESP]
Cifuentes-Arenas, Juan C.
Raiol-Junior, Laudecir L.
Stuchi, Eduardo S.
Girardi, Eduardo A.
Lopes, Silvio A. [UNESP]
author_role author
author2 Cifuentes-Arenas, Juan C.
Raiol-Junior, Laudecir L.
Stuchi, Eduardo S.
Girardi, Eduardo A.
Lopes, Silvio A. [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Fundo de Defesa da Citricultura (Fundecitrus)
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.author.fl_str_mv Carvalho, Everton V. [UNESP]
Cifuentes-Arenas, Juan C.
Raiol-Junior, Laudecir L.
Stuchi, Eduardo S.
Girardi, Eduardo A.
Lopes, Silvio A. [UNESP]
dc.subject.por.fl_str_mv Citrus spp.
Grafting
Meteorological conditions
Non-linear regression
Plant growth dynamics
Poncirus trifoliata
topic Citrus spp.
Grafting
Meteorological conditions
Non-linear regression
Plant growth dynamics
Poncirus trifoliata
description Occurrence, intensity, and growth patterns of new shoots (NS) were evaluated in orchards of ‘Pera’ and ‘Folha Murcha’ sweet oranges (Citrus × aurantium var. sinensis L.), ‘Ponkan’ mandarin (C. reticulata Blanco) and Persian lime (C. × latifolia var. latifolia) grafted on nine rootstocks to determine potential impacts of scion-rootstock combinations on NS growth parameters favorable to Diaphorina citri. NS number and the area under flush shoot dynamics were used to compare NS intensities. NS number (dependent variable) and meteorological elements (independent variables) were used through multiple linear regression to describe NS occurrences. NS growth data were compared through non-linear regression based on degree-days. NS occurrence dynamics were similar for all combinations, but the intensity was significantly higher on ‘Florida’ rough lemon than on ‘Flying Dragon’ trifoliate. Occurrence of NS on ‘Pera’, ‘Folha Murcha’ and Persian varieties associated positively (P < 0.05) with an increase of minimum and average temperatures (avg. adjusted R2 = 0.406; 0.408; 0.403, respectively), whereas on ‘Ponkan’ was related to the accumulated rainfall (avg. adj. R2 = 0.311). NS grew faster and attained longer lengths during spring (102.7 mm during 34 days) than autumn (71.9 mm during 42 days), except for ‘Folha Murcha’ which took longer to grow and reached shorter lengths (78.8 mm during 38 days) during spring, and longer lengths during autumn (118.3 mm during 42 days). Logistic models better fitted NS growth data (avg. adj. R2 ≥ 0.94). The adjusted R2 values of regression models developed to predict NS occurrence during the study were not high enough to estimate optimum timing to start insecticide applications for the control of D. citri. However, the adjusted R2 values attained for NS growth can be used to improve timing, and thereby adjust frequency of insecticide applications.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-15
2022-04-28T19:41:25Z
2022-04-28T19:41:25Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.scienta.2021.110358
Scientia Horticulturae, v. 288.
0304-4238
http://hdl.handle.net/11449/221923
10.1016/j.scienta.2021.110358
2-s2.0-85109475898
url http://dx.doi.org/10.1016/j.scienta.2021.110358
http://hdl.handle.net/11449/221923
identifier_str_mv Scientia Horticulturae, v. 288.
0304-4238
10.1016/j.scienta.2021.110358
2-s2.0-85109475898
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Scientia Horticulturae
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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