Desempenho agronômico e modelos de crescimento para cultivares de alface

Detalhes bibliográficos
Autor(a) principal: Carini, Fernanda
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/20948
Resumo: The objective of this study were to evaluate the agronomic performance of nine lettuce cultivars (Gloriosa, Pira Verde, Stella, Ceres, Grandes Lagos, Rubinela, Crocantela, Elisa and Vera), on the effect of the shade netting in spring and summer and adjust the Gompertz and Logistic models to the fresh and dry matter of leaves and fresh and dry matter of shoot shoots of lettuce and indicate the model that best describes the growth in autumn-winter, spring and summer. For the determination of the agronomic performance, ten experiments were conducted, using the soilless of cultivation in sheltered environment. In spring and summer experiments were conducted with and without shade netting. The black shade netting was used, with 18% reduction of the radiation, at 1.5 m above the culture. The nutritional supply was provided by means of recirculating nutrient solution in an automatically operated irrigation system. The following traits were evaluated: number of leaves, fresh and dry leaf matter, stem length, stem diameter, fresh and dry matter of the stem, fresh and dry matter of shoots, roots length and matter of fresh dry matter of roots. For the modeling the plants were evaluated every seven days during autumn-winter and every four days during spring and summer, using fresh and dry leaf matters and fresh and dry masses of shoot. These dependent variables were adjusted as a function of the accumulated thermal sum. We estimated the parameters of the Gompertz and Logistic models, verified the assumptions, calculated the quality indicators of fit, the critical points and quantified the parametric and intrinsic nonlinearities. The cultivars Gloriosa (autumn-winter), Grandes Lagos and Gloriosa (spring) and Crocantela and Vera (summer), present greater mass production and are the most suitable for cultivation in these seasons. The shade netting inside the protected environment did not improve the performance of the cultivars and its use is not necessary in spring and summer. The Logistic and Gompertz models present a satisfactory adjustment for the fresh and dry matter masses of leaves and for the masses of fresh and dry matter of aerial part for the lettuce cultivars Gloriosa, Pira Verde, Stella, Ceres, Grandes Lagos, Rubinela, Crocantela, Elisa e Vera. The Logistic model it is the best describe the growth of lettuce cultivars.
id UFSM_41e3a7cc8a7cfd4b0dfc70c9caa7dd2b
oai_identifier_str oai:repositorio.ufsm.br:1/20948
network_acronym_str UFSM
network_name_str Manancial - Repositório Digital da UFSM
repository_id_str
spelling Desempenho agronômico e modelos de crescimento para cultivares de alfaceAgronomic performance and growth models for lettuce cultivarsLactuca sativaEstaçõesMalhas de sombreamentoGompertzLogísticoSeasonShade nettingLogisticCNPQ::CIENCIAS AGRARIAS::AGRONOMIAThe objective of this study were to evaluate the agronomic performance of nine lettuce cultivars (Gloriosa, Pira Verde, Stella, Ceres, Grandes Lagos, Rubinela, Crocantela, Elisa and Vera), on the effect of the shade netting in spring and summer and adjust the Gompertz and Logistic models to the fresh and dry matter of leaves and fresh and dry matter of shoot shoots of lettuce and indicate the model that best describes the growth in autumn-winter, spring and summer. For the determination of the agronomic performance, ten experiments were conducted, using the soilless of cultivation in sheltered environment. In spring and summer experiments were conducted with and without shade netting. The black shade netting was used, with 18% reduction of the radiation, at 1.5 m above the culture. The nutritional supply was provided by means of recirculating nutrient solution in an automatically operated irrigation system. The following traits were evaluated: number of leaves, fresh and dry leaf matter, stem length, stem diameter, fresh and dry matter of the stem, fresh and dry matter of shoots, roots length and matter of fresh dry matter of roots. For the modeling the plants were evaluated every seven days during autumn-winter and every four days during spring and summer, using fresh and dry leaf matters and fresh and dry masses of shoot. These dependent variables were adjusted as a function of the accumulated thermal sum. We estimated the parameters of the Gompertz and Logistic models, verified the assumptions, calculated the quality indicators of fit, the critical points and quantified the parametric and intrinsic nonlinearities. The cultivars Gloriosa (autumn-winter), Grandes Lagos and Gloriosa (spring) and Crocantela and Vera (summer), present greater mass production and are the most suitable for cultivation in these seasons. The shade netting inside the protected environment did not improve the performance of the cultivars and its use is not necessary in spring and summer. The Logistic and Gompertz models present a satisfactory adjustment for the fresh and dry matter masses of leaves and for the masses of fresh and dry matter of aerial part for the lettuce cultivars Gloriosa, Pira Verde, Stella, Ceres, Grandes Lagos, Rubinela, Crocantela, Elisa e Vera. The Logistic model it is the best describe the growth of lettuce cultivars.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESOs objetivos deste trabalho foram avaliar o desempenho agronômico de nove cultivares de alface (Gloriosa, Pira Verde, Stella, Ceres, Grandes Lagos, Rubinela, Crocantela, Elisa e Vera), em três estações (outono-inverno, primavera e verão), inferir sobre o efeito da malha de sombreamento na primavera e no verão e ajustar os modelos Gompertz Logístico para as massas de matéria fresca e seca de folhas e as massas de matéria fresca e seca de parte aérea de cultivares alface indicar o modelo que melhor descreve crescimento no outono-inverno, primavera verão. Para a determinação do desempenho foram conduzidos dez experimentos, utilizando técnicas cultivo sem solo em ambiente protegido tipo abrigo. Na primavera e no verão experimentos com malha sombreamento. Foi utilizada sombreamento preta, 18% redução da radiação, 1,5 m acima cultura. O suprimento nutricional foi fornecido por meio solução nutritiva recirculante, sistema irrigação acionado automaticamente. Foram avaliados caracteres: número de folhas, massas de matéria fresca e seca de folhas, comprimento do caule, diâmetro do caule, massas de matéria fresca e seca do caule, massas de matéria fresca e seca de parte aérea, comprimento de raízes e massas de matéria fresca e seca de raízes. Para a modelagem, as plantas foram avaliadas a cada sete dias durante o outono-inverno e a cada quatro dias durante a primavera e o verão, sendo utilizadas as massas de matéria fresca e seca de folhas e as massas de matéria fresca e seca de parte aérea. Essas variáveis dependentes foram ajustadas em função da soma térmica acumulada. Foram estimados os parâmetros dos modelos Gompertz e Logístico, verificados os pressupostos, calculados os indicadores de qualidade do ajuste, os pontos críticos e quantificadas as não linearidades paramétrica e intrínseca. As cultivares Gloriosa (na estação outono-inverno), Grandes Lagos e Gloriosa (na estação primavera) e Crocantela e Vera (na estação verão), apresentam maior produção de massa e são as mais indicadas para o cultivo nessas estações. A malha de sombreamento no interior do ambiente protegido não melhorou o desempenho das cultivares e seu uso não é necessário na primavera e no verão. Os modelos Logístico e Gompertz apresentam ajuste satisfatório para as massas de matéria fresca e seca de folhas e para as massas de matéria fresca e seca de parte aérea, para as cultivares de alface Gloriosa, Pira Verde, Stella, Ceres, Grandes Lagos, Rubinela, Crocantela, Elisa e Vera. O modelo Logístico é o que melhor descreve o crescimento das cultivares de alface.Universidade Federal de Santa MariaBrasilAgronomiaUFSMPrograma de Pós-Graduação em AgronomiaCentro de Ciências RuraisCargnelutti Filho, Albertohttp://lattes.cnpq.br/0233728865094243Andriolo, Jeronimo LuizBackes, Fernanda Alice Antonello LonderoLorentz, Leandro HomrichStorck, LindolfoCarini, Fernanda2021-05-20T19:37:49Z2021-05-20T19:37:49Z2019-02-22info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/20948porAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2021-05-21T06:02:53Zoai:repositorio.ufsm.br:1/20948Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2021-05-21T06:02:53Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Desempenho agronômico e modelos de crescimento para cultivares de alface
Agronomic performance and growth models for lettuce cultivars
title Desempenho agronômico e modelos de crescimento para cultivares de alface
spellingShingle Desempenho agronômico e modelos de crescimento para cultivares de alface
Carini, Fernanda
Lactuca sativa
Estações
Malhas de sombreamento
Gompertz
Logístico
Season
Shade netting
Logistic
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Desempenho agronômico e modelos de crescimento para cultivares de alface
title_full Desempenho agronômico e modelos de crescimento para cultivares de alface
title_fullStr Desempenho agronômico e modelos de crescimento para cultivares de alface
title_full_unstemmed Desempenho agronômico e modelos de crescimento para cultivares de alface
title_sort Desempenho agronômico e modelos de crescimento para cultivares de alface
author Carini, Fernanda
author_facet Carini, Fernanda
author_role author
dc.contributor.none.fl_str_mv Cargnelutti Filho, Alberto
http://lattes.cnpq.br/0233728865094243
Andriolo, Jeronimo Luiz
Backes, Fernanda Alice Antonello Londero
Lorentz, Leandro Homrich
Storck, Lindolfo
dc.contributor.author.fl_str_mv Carini, Fernanda
dc.subject.por.fl_str_mv Lactuca sativa
Estações
Malhas de sombreamento
Gompertz
Logístico
Season
Shade netting
Logistic
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
topic Lactuca sativa
Estações
Malhas de sombreamento
Gompertz
Logístico
Season
Shade netting
Logistic
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description The objective of this study were to evaluate the agronomic performance of nine lettuce cultivars (Gloriosa, Pira Verde, Stella, Ceres, Grandes Lagos, Rubinela, Crocantela, Elisa and Vera), on the effect of the shade netting in spring and summer and adjust the Gompertz and Logistic models to the fresh and dry matter of leaves and fresh and dry matter of shoot shoots of lettuce and indicate the model that best describes the growth in autumn-winter, spring and summer. For the determination of the agronomic performance, ten experiments were conducted, using the soilless of cultivation in sheltered environment. In spring and summer experiments were conducted with and without shade netting. The black shade netting was used, with 18% reduction of the radiation, at 1.5 m above the culture. The nutritional supply was provided by means of recirculating nutrient solution in an automatically operated irrigation system. The following traits were evaluated: number of leaves, fresh and dry leaf matter, stem length, stem diameter, fresh and dry matter of the stem, fresh and dry matter of shoots, roots length and matter of fresh dry matter of roots. For the modeling the plants were evaluated every seven days during autumn-winter and every four days during spring and summer, using fresh and dry leaf matters and fresh and dry masses of shoot. These dependent variables were adjusted as a function of the accumulated thermal sum. We estimated the parameters of the Gompertz and Logistic models, verified the assumptions, calculated the quality indicators of fit, the critical points and quantified the parametric and intrinsic nonlinearities. The cultivars Gloriosa (autumn-winter), Grandes Lagos and Gloriosa (spring) and Crocantela and Vera (summer), present greater mass production and are the most suitable for cultivation in these seasons. The shade netting inside the protected environment did not improve the performance of the cultivars and its use is not necessary in spring and summer. The Logistic and Gompertz models present a satisfactory adjustment for the fresh and dry matter masses of leaves and for the masses of fresh and dry matter of aerial part for the lettuce cultivars Gloriosa, Pira Verde, Stella, Ceres, Grandes Lagos, Rubinela, Crocantela, Elisa e Vera. The Logistic model it is the best describe the growth of lettuce cultivars.
publishDate 2019
dc.date.none.fl_str_mv 2019-02-22
2021-05-20T19:37:49Z
2021-05-20T19:37:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/20948
url http://repositorio.ufsm.br/handle/1/20948
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agronomia
Centro de Ciências Rurais
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agronomia
Centro de Ciências Rurais
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
_version_ 1805922099111395328