Ecofisiologia e modelo logístico na dinâmica de crescimento e desenvolvimento de soja em condições de excesso hídrico
Ano de defesa: | 2022 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , , |
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 |