Modeling seasonal flushing and shoot growth on different citrus scion-rootstock combinations
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
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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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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1797790164095860736 |