Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico

Detalhes bibliográficos
Ano de defesa: 2022
Autor(a) principal: Goergen, Patrícia Carine Hüller lattes
Orientador(a): Lopes, Sidinei Jose lattes
Banca de defesa: Zanon, Alencar Junior, Follmann, Diego Nicolau, Silva, José Antônio Gonzalez da, Teixeira, Cleusa Adriane Menegassi Bianchi
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Centro de Ciências Rurais
Programa de Pós-Graduação: Programa de Pós-Graduação em Agronomia
Departamento: Agronomia
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.ufsm.br/handle/1/26335
Resumo: Soybean is the main legume grown in the world. Rio Grande do Sul is an important national producer of the grain and the expansion of the crop to lowland areas where irrigated rice is traditionally cultivated in the state. The occurrence of excess water is harmful to the growth and development of plants, and compromises production, generating large losses of grain productivity. However, the duration of the stress, the phase of plant development and the weather conditions during the flood influence the severity of the stress. Thus, the present study aimed to evaluate the ecophysiology and characterize the growth of soybean cultivars by the logistic model subjected to flooding days in sowing seasons. To achieve this objective, two experiments were carried out at two sowing times (October and November) in the 2018/2019 and 2019/2020 crop years. The experimental design was completely randomized with four replications, each repetition consisting of a pot with one plant. Two soybean cultivars (NA 5909 RG and TEC IRGA 6070 RR) with relative maturity group close to 6.0 were used. The experiment I aimed to study the water excess in soybean cultivars in different phases of development during the vegetative phase and the experiment II, to study days of flooding in soybean cultivars, without and with a second flood from the vegetative phase V6-V7. In each experiment the following were determined: leaf area, dry mass, number of nodes, plant height, chlorophyll content and gas exchange measurements. The most sensitive phase to excess water for soybean cultivars is SE-EM, as there was no seed germination in both sowing dates and years studied. It was observed that the cultivar NA 5909 RG is more sensitive to excess water on days of flooding for the variables studied. For each group (3, 6, 9 and 12) of days of flooding evaluated, it was observed that when the soybean was submitted to a second flood it presented a worse performance than when only imposed to a single event of water stress, which shows no acclimatization. The second sowing season potentiated the effect of water stress on soybeans due to higher average air temperatures. The logistic model was adjusted to the leaf area variable, as a function of the accumulated degree-days. Leaf area can be estimated from models of relationship with mean air temperature, through the accumulation of degree-days.
id UFSM_0b3af7f80f87e224fe7e827cf1e133a2
oai_identifier_str oai:repositorio.ufsm.br:1/26335
network_acronym_str UFSM
network_name_str Biblioteca Digital de Teses e Dissertações do UFSM
repository_id_str
spelling 2022-10-03T19:24:32Z2022-10-03T19:24:32Z2022-07-17http://repositorio.ufsm.br/handle/1/26335Soybean is the main legume grown in the world. Rio Grande do Sul is an important national producer of the grain and the expansion of the crop to lowland areas where irrigated rice is traditionally cultivated in the state. The occurrence of excess water is harmful to the growth and development of plants, and compromises production, generating large losses of grain productivity. However, the duration of the stress, the phase of plant development and the weather conditions during the flood influence the severity of the stress. Thus, the present study aimed to evaluate the ecophysiology and characterize the growth of soybean cultivars by the logistic model subjected to flooding days in sowing seasons. To achieve this objective, two experiments were carried out at two sowing times (October and November) in the 2018/2019 and 2019/2020 crop years. The experimental design was completely randomized with four replications, each repetition consisting of a pot with one plant. Two soybean cultivars (NA 5909 RG and TEC IRGA 6070 RR) with relative maturity group close to 6.0 were used. The experiment I aimed to study the water excess in soybean cultivars in different phases of development during the vegetative phase and the experiment II, to study days of flooding in soybean cultivars, without and with a second flood from the vegetative phase V6-V7. In each experiment the following were determined: leaf area, dry mass, number of nodes, plant height, chlorophyll content and gas exchange measurements. The most sensitive phase to excess water for soybean cultivars is SE-EM, as there was no seed germination in both sowing dates and years studied. It was observed that the cultivar NA 5909 RG is more sensitive to excess water on days of flooding for the variables studied. For each group (3, 6, 9 and 12) of days of flooding evaluated, it was observed that when the soybean was submitted to a second flood it presented a worse performance than when only imposed to a single event of water stress, which shows no acclimatization. The second sowing season potentiated the effect of water stress on soybeans due to higher average air temperatures. The logistic model was adjusted to the leaf area variable, as a function of the accumulated degree-days. Leaf area can be estimated from models of relationship with mean air temperature, through the accumulation of degree-days.A soja é a principal leguminosa cultivada no mundo. O Rio Grande do Sul é um importante produtor nacional do grão e no Estado vem ocorrendo a expansão da cultura para áreas de terras baixas onde tradicionalmente é cultivado monocultivo de arroz irrigado. A ocorrência de excesso hídrico é prejudicial para o crescimento e desenvolvimento das plantas, e compromete a produção, gerando grandes perdas de produtividade de grãos. No entanto, o período de duração do estresse, o estágio de desenvolvimento das plantas e as condições meteorológicas durante a inundação influenciam na severidade do estresse. Assim, o presente estudo teve por objetivo avaliar a ecofisiologia e caracterizar o crescimento de cultivares de soja pelo modelo logístico submetidas a dias de inundação em épocas de semeadura. Para alcançar tal objetivo foram realizados dois experimentos em duas épocas de semeadura (outubro e novembro) nos anos agrícolas 2018/2019 e 2019/2020. O delineamento experimental foi o inteiramente casualizado com quatro repetições, cada repetição constituindo-se de um vaso com uma planta. Foram utilizadas 2 cultivares (NA 5909 RG e TEC IRGA 6070 RR) de soja com grupo de maturidade relativa próximo de 6.0. O experimento I visou estudar o excesso hídrico em cultivares de soja em distintas fases do desenvolvimento durante a fase vegetativa e o experimento II, estudar dias de inundação em cultivares de soja, sem e com uma segunda inundação a partir da fase vegetativa V6-V7. Em cada experimento foram determinados: a área foliar, massa seca, número de nós, estatura das plantas, teor de clorofila e medidas de trocas gasosas. A fase mais sensível ao excesso hídrico para as cultivares de soja é a SE-EM, pois não ocorreu a germinação das sementes, nas duas épocas de semeadura e anos estudados. Foi observado que a cultivar NA 5909 RG é mais sensível ao excesso hídrico em dias de inundação para as variáveis estudadas. Para cada grupo (3, 6, 9 e 12) de dias de inundação avaliado observou-se que quando a soja foi submetida a uma segunda inundação ela apresentou um desempenho pior do que quando somente imposta a um único evento de estresse hídrico, o que demonstra não ter aclimatação. A segunda época de semeadura potencializou o efeito do estresse hídrico sobre a soja devido as médias de temperaturas do ar mais elevadas. O modelo logístico se ajustou à variável área foliar, em função dos graus-dias acumulados. A área foliar pode ser estimada a partir de modelos de relação com a temperatura média do ar, através do acúmulo de graus-dia.porUniversidade Federal de Santa MariaCentro de Ciências RuraisPrograma de Pós-Graduação em AgronomiaUFSMBrasilAgronomiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessGlicyne max L.Excesso hídricoAclimataçãoFases de desenvolvimentoDatas de semeaduraProdutividadeModelo logísticoWater excessAcclimateDevelopment phasesSowing datesProductivityLogistic modelCNPQ::CIENCIAS AGRARIAS::AGRONOMIAEcofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídricoEcophysiology and logistics model in the dynamics of soybean growth and development under excess water conditionsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisLopes, Sidinei Josehttp://lattes.cnpq.br/7533347017859354Lago, IsabelZanon, Alencar JuniorFollmann, Diego NicolauSilva, José Antônio Gonzalez daTeixeira, Cleusa Adriane Menegassi Bianchihttp://lattes.cnpq.br/4883276984806034Goergen, Patrícia Carine Hüller50010000000960060060060060060060060059e5e2ee-55e5-4a35-b0aa-161974fd987c9ffc6b7f-5a07-448c-9f23-f3016c7bc6bc4b329402-f8d5-4911-bacb-934c10807e3d7c7b164e-daea-46ed-90e4-44bf948e8188d0815f49-5308-4e49-812f-a5e3a86be59fe9c00cf8-752c-4328-92b6-1bda1067d4bc89ba90c5-9e42-48d3-b8bd-d4077cbd11a4reponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALTES_PPGAGRONOMIA_2022_GOERGEN _PATRÍCIA.pdfTES_PPGAGRONOMIA_2022_GOERGEN _PATRÍCIA.pdfTese de doutoradoapplication/pdf3478610http://repositorio.ufsm.br/bitstream/1/26335/1/TES_PPGAGRONOMIA_2022_GOERGEN%20_PATR%c3%8dCIA.pdf7eb28c9115c4c2657601759e39b6e7cdMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.ufsm.br/bitstream/1/26335/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/26335/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD531/263352022-10-03 16:24:32.923oai:repositorio.ufsm.br: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 Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2022-10-03T19:24:32Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico
dc.title.alternative.eng.fl_str_mv Ecophysiology and logistics model in the dynamics of soybean growth and development under excess water conditions
title Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico
spellingShingle Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico
Goergen, Patrícia Carine Hüller
Glicyne max L.
Excesso hídrico
Aclimatação
Fases de desenvolvimento
Datas de semeadura
Produtividade
Modelo logístico
Water excess
Acclimate
Development phases
Sowing dates
Productivity
Logistic model
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico
title_full Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico
title_fullStr Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico
title_full_unstemmed Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico
title_sort Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico
author Goergen, Patrícia Carine Hüller
author_facet Goergen, Patrícia Carine Hüller
author_role author
dc.contributor.advisor1.fl_str_mv Lopes, Sidinei Jose
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/7533347017859354
dc.contributor.advisor-co1.fl_str_mv Lago, Isabel
dc.contributor.referee1.fl_str_mv Zanon, Alencar Junior
dc.contributor.referee2.fl_str_mv Follmann, Diego Nicolau
dc.contributor.referee3.fl_str_mv Silva, José Antônio Gonzalez da
dc.contributor.referee4.fl_str_mv Teixeira, Cleusa Adriane Menegassi Bianchi
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/4883276984806034
dc.contributor.author.fl_str_mv Goergen, Patrícia Carine Hüller
contributor_str_mv Lopes, Sidinei Jose
Lago, Isabel
Zanon, Alencar Junior
Follmann, Diego Nicolau
Silva, José Antônio Gonzalez da
Teixeira, Cleusa Adriane Menegassi Bianchi
dc.subject.por.fl_str_mv Glicyne max L.
Excesso hídrico
Aclimatação
Fases de desenvolvimento
Datas de semeadura
Produtividade
Modelo logístico
topic Glicyne max L.
Excesso hídrico
Aclimatação
Fases de desenvolvimento
Datas de semeadura
Produtividade
Modelo logístico
Water excess
Acclimate
Development phases
Sowing dates
Productivity
Logistic model
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv Water excess
Acclimate
Development phases
Sowing dates
Productivity
Logistic model
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description Soybean is the main legume grown in the world. Rio Grande do Sul is an important national producer of the grain and the expansion of the crop to lowland areas where irrigated rice is traditionally cultivated in the state. The occurrence of excess water is harmful to the growth and development of plants, and compromises production, generating large losses of grain productivity. However, the duration of the stress, the phase of plant development and the weather conditions during the flood influence the severity of the stress. Thus, the present study aimed to evaluate the ecophysiology and characterize the growth of soybean cultivars by the logistic model subjected to flooding days in sowing seasons. To achieve this objective, two experiments were carried out at two sowing times (October and November) in the 2018/2019 and 2019/2020 crop years. The experimental design was completely randomized with four replications, each repetition consisting of a pot with one plant. Two soybean cultivars (NA 5909 RG and TEC IRGA 6070 RR) with relative maturity group close to 6.0 were used. The experiment I aimed to study the water excess in soybean cultivars in different phases of development during the vegetative phase and the experiment II, to study days of flooding in soybean cultivars, without and with a second flood from the vegetative phase V6-V7. In each experiment the following were determined: leaf area, dry mass, number of nodes, plant height, chlorophyll content and gas exchange measurements. The most sensitive phase to excess water for soybean cultivars is SE-EM, as there was no seed germination in both sowing dates and years studied. It was observed that the cultivar NA 5909 RG is more sensitive to excess water on days of flooding for the variables studied. For each group (3, 6, 9 and 12) of days of flooding evaluated, it was observed that when the soybean was submitted to a second flood it presented a worse performance than when only imposed to a single event of water stress, which shows no acclimatization. The second sowing season potentiated the effect of water stress on soybeans due to higher average air temperatures. The logistic model was adjusted to the leaf area variable, as a function of the accumulated degree-days. Leaf area can be estimated from models of relationship with mean air temperature, through the accumulation of degree-days.
publishDate 2022
dc.date.accessioned.fl_str_mv 2022-10-03T19:24:32Z
dc.date.available.fl_str_mv 2022-10-03T19:24:32Z
dc.date.issued.fl_str_mv 2022-07-17
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/26335
url http://repositorio.ufsm.br/handle/1/26335
dc.language.iso.fl_str_mv por
language por
dc.relation.cnpq.fl_str_mv 500100000009
dc.relation.confidence.fl_str_mv 600
600
600
600
600
600
600
600
dc.relation.authority.fl_str_mv 59e5e2ee-55e5-4a35-b0aa-161974fd987c
9ffc6b7f-5a07-448c-9f23-f3016c7bc6bc
4b329402-f8d5-4911-bacb-934c10807e3d
7c7b164e-daea-46ed-90e4-44bf948e8188
d0815f49-5308-4e49-812f-a5e3a86be59f
e9c00cf8-752c-4328-92b6-1bda1067d4bc
89ba90c5-9e42-48d3-b8bd-d4077cbd11a4
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.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Rurais
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Agronomia
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Agronomia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Rurais
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações do 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 Biblioteca Digital de Teses e Dissertações do UFSM
collection Biblioteca Digital de Teses e Dissertações do UFSM
bitstream.url.fl_str_mv http://repositorio.ufsm.br/bitstream/1/26335/1/TES_PPGAGRONOMIA_2022_GOERGEN%20_PATR%c3%8dCIA.pdf
http://repositorio.ufsm.br/bitstream/1/26335/2/license_rdf
http://repositorio.ufsm.br/bitstream/1/26335/3/license.txt
bitstream.checksum.fl_str_mv 7eb28c9115c4c2657601759e39b6e7cd
4460e5956bc1d1639be9ae6146a50347
2f0571ecee68693bd5cd3f17c1e075df
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
_version_ 1793240176277848064