Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canola

Detalhes bibliográficos
Autor(a) principal: Kovaleski, Samuel
Data de Publicação: 2019
Tipo de documento: Tese
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
dARK ID: ark:/26339/0013000001jdg
Texto Completo: http://repositorio.ufsm.br/handle/1/20714
Resumo: The objective of this work was to quantify the damage caused by frosts in the reproductive period of canola and to develop models for their estimation. In 2016 and 2017 two experiments were carried out under controlled conditions and two field experiments. The experiments in a controlled environment were conducted in a completely randomized design and factorial arrangement. Plants with and without cold acclimatization were exposed to the air temperature of -6°C. In the filed, the experiments were conducted in randomized complete block design, with subdivided plot and factorial arrangement. The analyzes were performed considering a factorial sample design within the blocks of the original experiment. Biometric evaluations were performed before and after frosts in controlled and field environment. In the field environment it was evaluated the air temperature (Tar) in the canopy at 5, 40, 100 and 150 cm of the soil and the temperature of reproductive structures (Ter). Models were developed to estimate the minimum air temperature close to the reproductive structures (TnE), minimum temperature of the reproductive structures (Tner) and the ovules mortality in reproductive structures, by linear regression. Ovules death in Flowers (F) and Flower buds (B) begins with Tar of 2.4 and 1.9°C, respectively. Death of all ovules would occur with Tar of -6.7 and -10.2°C in F and B, respectively. Tar of -4.80°C caused the death of 70 to 90% of the ovules in F and siliques with less than 2 cm length (S <2). The equation describing the evolution of ovules numbers in frosty night indicates that ovules death begins with Tar of 0.81°C and total death occurs with Tar of -6.52°C. B, F and S <2 present abortion 27% higher than siliques with more than 2 cm length (S>2). If B, F and S <2 do not abort they present a 79% larger number of grains than S>2. The lowest Tn occurred at the top of the canopy. The mean gradient between the lowest and highest Tn in the canopy is 1.64, 0.91, 1.22 and 0.75°C in severe frosts, moderate frosts, light frosts and cold days, respectively. . It is possible to estimate the Tner during the canola cycle, according to data obtained from the meteorological station, with the model Tner = 1.21 (Tn Aut1) - 2.77 When Tn less than 5°C it is possible to estimate Tner with the model Tner = 1.09 (Tn Aut) - 3.06. Damage caused by frost in the reproductive period of canola can be quantified from Tn measured in automatic weather station and/or Tn measured at reference position within the crop.
id UFSM_348103446e52c37bafcc48d0a42777b2
oai_identifier_str oai:repositorio.ufsm.br:1/20714
network_acronym_str UFSM
network_name_str Manancial - Repositório Digital da UFSM
repository_id_str
spelling Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canolaCharacterization, quantification and modeling of damages caused by the frost in the reproductive period of canolaTemperatura do arCongelamentoEstruturas reprodutivasMicroclima no dosselAir temperatureFreezingReproductive structuresMicroclimate in the canopyCNPQ::CIENCIAS AGRARIAS::AGRONOMIAThe objective of this work was to quantify the damage caused by frosts in the reproductive period of canola and to develop models for their estimation. In 2016 and 2017 two experiments were carried out under controlled conditions and two field experiments. The experiments in a controlled environment were conducted in a completely randomized design and factorial arrangement. Plants with and without cold acclimatization were exposed to the air temperature of -6°C. In the filed, the experiments were conducted in randomized complete block design, with subdivided plot and factorial arrangement. The analyzes were performed considering a factorial sample design within the blocks of the original experiment. Biometric evaluations were performed before and after frosts in controlled and field environment. In the field environment it was evaluated the air temperature (Tar) in the canopy at 5, 40, 100 and 150 cm of the soil and the temperature of reproductive structures (Ter). Models were developed to estimate the minimum air temperature close to the reproductive structures (TnE), minimum temperature of the reproductive structures (Tner) and the ovules mortality in reproductive structures, by linear regression. Ovules death in Flowers (F) and Flower buds (B) begins with Tar of 2.4 and 1.9°C, respectively. Death of all ovules would occur with Tar of -6.7 and -10.2°C in F and B, respectively. Tar of -4.80°C caused the death of 70 to 90% of the ovules in F and siliques with less than 2 cm length (S <2). The equation describing the evolution of ovules numbers in frosty night indicates that ovules death begins with Tar of 0.81°C and total death occurs with Tar of -6.52°C. B, F and S <2 present abortion 27% higher than siliques with more than 2 cm length (S>2). If B, F and S <2 do not abort they present a 79% larger number of grains than S>2. The lowest Tn occurred at the top of the canopy. The mean gradient between the lowest and highest Tn in the canopy is 1.64, 0.91, 1.22 and 0.75°C in severe frosts, moderate frosts, light frosts and cold days, respectively. . It is possible to estimate the Tner during the canola cycle, according to data obtained from the meteorological station, with the model Tner = 1.21 (Tn Aut1) - 2.77 When Tn less than 5°C it is possible to estimate Tner with the model Tner = 1.09 (Tn Aut) - 3.06. Damage caused by frost in the reproductive period of canola can be quantified from Tn measured in automatic weather station and/or Tn measured at reference position within the crop.O objetivo deste trabalho foi quantificar os danos provocados por geadas no período reprodutivo da canola e desenvolver modelos para estima-los. Em 2016 e 2017 foram realizados dois experimentos em condições controladas e dois experimentos a campo. Os experimentos em ambiente controlado foram conduzidos em delineamento inteiramente casualizado e arranjo fatorial. As plantas com e sem aclimatação ao frio foram expostas à temperatura do ar de -6°C. Em ambiente externo, os experimentos foram conduzidos em delineamento experimental em blocos ao acaso, com parcela subdividida e arranjo fatorial. As avaliações e análises foram realizadas considerando delineamento amostral fatorial dentro dos blocos do experimento original. Foram realizadas avaliações biométricas antes e após as geadas em ambiente controlado e natural. Em ambiente natural avaliou-se a temperatura do ar (Tar) no dossel a 5, 40, 100 e 150 cm do solo e a temperatura de estruturas reprodutivas (Ter). Desenvolveram-se modelos para estimativa da temperatura mínima do ar próximo às estruturas reprodutivas (TnE), da temperatura mínima das estruturas reprodutivas (Tner) e da mortalidade de óvulos em estruturas reprodutivas, por regressão linear simples. A geada provocou a morte de 79% das plantas não aclimatadas e aumentou o abortamento de estruturas reprodutivas de 43 a 120%. A morte de óvulos em Flores (F) e Botões florais (B) iniciou com Tar de 2,4 e 1,9°C, respectivamente. A morte de todos óvulos ocorreria com Tar de -6,7 e -10,2°C em F e B, respectivamente. A Tar de -4,80°C provocou a morte de 70 a 90% dos óvulos em F e em síliquas com menos de 2 cm de comprimento (S<2). A equação que descreve a evolução da mortalidade de óvulos, em noite com geada, indicou que a morte de óvulos inicia com Tar de 0,81°C e a morte total ocorreria com Tar de -6,52°C. B, F e S<2 apresentaram abortamento 27% maior do que síliquas com mais de 2 cm de comprimento, porém, quando B, F e S<2 não abortaram apresentaram número de grãos 79% maior do que S>2. A menor Tn ocorreu no topo do dossel. O gradiente entre a menor e maior Tn no dossel foi de 1,64, 0,91, 1,22 e 0,75°C em geadas fortes, moderadas, fracas e dias frios, respectivamente. É possível estimar a Tner durante o ciclo da canola, em função de dados de estação meteorológica, com o modelo o Tner = 1,21(Tn Aut1) - 2,77 e em dias com Tn menor do que 5°C com o modelo Tner = 1,09(Tn Aut) - 3,06. Danos causados por geadas no período reprodutivo da canola podem ser quantificados a partir de Tn medida em estação meteorológica automática e/ou Tn medida em posição de referência dentro da lavoura.Universidade Federal de Santa MariaBrasilAgronomiaUFSMPrograma de Pós-Graduação em AgronomiaCentro de Ciências RuraisHeldwein, Arno Bernardohttp://lattes.cnpq.br/6671155842231311Nied, Astor HenriqueXXXXXXXXXXXXXXXDalmago, Genei AntônioXXXXXXXXXXXXXXXXXXMaldaner, Ivan CarlosXXXXXXXXXXXXXXXGouvêa, Jorge AlbertoXXXXXXXXXXXXXXXXXXKovaleski, Samuel2021-04-28T17:59:28Z2021-04-28T17:59:28Z2019-02-22info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/20714ark:/26339/0013000001jdgporAttribution-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:UFSM2021-04-29T06:02:37Zoai:repositorio.ufsm.br:1/20714Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2024-07-29T10:18:39.878165Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canola
Characterization, quantification and modeling of damages caused by the frost in the reproductive period of canola
title Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canola
spellingShingle Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canola
Kovaleski, Samuel
Temperatura do ar
Congelamento
Estruturas reprodutivas
Microclima no dossel
Air temperature
Freezing
Reproductive structures
Microclimate in the canopy
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canola
title_full Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canola
title_fullStr Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canola
title_full_unstemmed Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canola
title_sort Caracterização, quantificação e modelagem de danos provocados pela geada no período reprodutivo da canola
author Kovaleski, Samuel
author_facet Kovaleski, Samuel
author_role author
dc.contributor.none.fl_str_mv Heldwein, Arno Bernardo
http://lattes.cnpq.br/6671155842231311
Nied, Astor Henrique
XXXXXXXXXXXXXXX
Dalmago, Genei Antônio
XXXXXXXXXXXXXXXXXX
Maldaner, Ivan Carlos
XXXXXXXXXXXXXXX
Gouvêa, Jorge Alberto
XXXXXXXXXXXXXXXXXX
dc.contributor.author.fl_str_mv Kovaleski, Samuel
dc.subject.por.fl_str_mv Temperatura do ar
Congelamento
Estruturas reprodutivas
Microclima no dossel
Air temperature
Freezing
Reproductive structures
Microclimate in the canopy
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
topic Temperatura do ar
Congelamento
Estruturas reprodutivas
Microclima no dossel
Air temperature
Freezing
Reproductive structures
Microclimate in the canopy
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description The objective of this work was to quantify the damage caused by frosts in the reproductive period of canola and to develop models for their estimation. In 2016 and 2017 two experiments were carried out under controlled conditions and two field experiments. The experiments in a controlled environment were conducted in a completely randomized design and factorial arrangement. Plants with and without cold acclimatization were exposed to the air temperature of -6°C. In the filed, the experiments were conducted in randomized complete block design, with subdivided plot and factorial arrangement. The analyzes were performed considering a factorial sample design within the blocks of the original experiment. Biometric evaluations were performed before and after frosts in controlled and field environment. In the field environment it was evaluated the air temperature (Tar) in the canopy at 5, 40, 100 and 150 cm of the soil and the temperature of reproductive structures (Ter). Models were developed to estimate the minimum air temperature close to the reproductive structures (TnE), minimum temperature of the reproductive structures (Tner) and the ovules mortality in reproductive structures, by linear regression. Ovules death in Flowers (F) and Flower buds (B) begins with Tar of 2.4 and 1.9°C, respectively. Death of all ovules would occur with Tar of -6.7 and -10.2°C in F and B, respectively. Tar of -4.80°C caused the death of 70 to 90% of the ovules in F and siliques with less than 2 cm length (S <2). The equation describing the evolution of ovules numbers in frosty night indicates that ovules death begins with Tar of 0.81°C and total death occurs with Tar of -6.52°C. B, F and S <2 present abortion 27% higher than siliques with more than 2 cm length (S>2). If B, F and S <2 do not abort they present a 79% larger number of grains than S>2. The lowest Tn occurred at the top of the canopy. The mean gradient between the lowest and highest Tn in the canopy is 1.64, 0.91, 1.22 and 0.75°C in severe frosts, moderate frosts, light frosts and cold days, respectively. . It is possible to estimate the Tner during the canola cycle, according to data obtained from the meteorological station, with the model Tner = 1.21 (Tn Aut1) - 2.77 When Tn less than 5°C it is possible to estimate Tner with the model Tner = 1.09 (Tn Aut) - 3.06. Damage caused by frost in the reproductive period of canola can be quantified from Tn measured in automatic weather station and/or Tn measured at reference position within the crop.
publishDate 2019
dc.date.none.fl_str_mv 2019-02-22
2021-04-28T17:59:28Z
2021-04-28T17:59:28Z
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/1/20714
dc.identifier.dark.fl_str_mv ark:/26339/0013000001jdg
url http://repositorio.ufsm.br/handle/1/20714
identifier_str_mv ark:/26339/0013000001jdg
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_ 1814439711188451328