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| 1. |  | TAKABAYASHI, C. R.; HAYASHI, L.; OLIVEIRA, T. M. de; FUJII, S.; KEMMELMEIER, C.; ONO, Y. S.; ITANO, E. N.; KAWAMURA, O.; HIROOKA, E. Y. Anticorpo monoclonal antiAFB1: produção in vitro visando desenvolvimento de bioferramentas. Semina: Ciências Agrárias, Londrina, v. 31, n. 4, p. 933-944, out./dez. 2010.| Biblioteca(s): Epagri-Sede. |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
02/05/2024 |
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Data da última atualização: |
02/05/2024 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
CANALE, MC; CASTILHOS, R. V.; ANDRADE, M. V. S.; NESI, C. N.; ZAKEEL, M. C. M. |
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Título: |
Unravelling the spatial dynamics and incidence of corn stunting disease complex in Brazilian maize fields. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
In: INTERNATIONAL EPIDEMIOLOGY WORKSHOP, 13., 2024, Foz do Iguaçú, PR. Abstracts... Viçosa, MG: UFV, 2024. p. 70 |
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Idioma: |
Inglês |
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Conteúdo: |
Corn stunting disease complex poses a severe threat to maize production in Brazil, with
persistent outbreaks and substantial crop losses since 2015. This disease complex involves
two phloem bacterial pathogens, the maize bushy stunt phytoplasma (?Candidatus
Phytoplasma asteris?) and Spiroplasma kunkelii, both transmitted by the corn leafhopper
Dalbulus maidis (Hemiptera: Cicadellidae). Empirical studies to assess the epidemic
dynamics of this disease are scarce. This study aimed to comprehensively assess disease
incidence and progression in an experimental field in Chapecó, Santa Catarina, Brazil,
during the 2018/19 and 2019/20 cropping seasons. A meticulous visual evaluation of a total
of 2860 and 6336 maize plants was conducted, mapping binary data representing the
presence (1) or absence (0) of symptoms at 80 days after sowing. The observed corn
stunting disease incidence was 7.62% and 4.58% for the 2018/19 and 2019/20 seasons,
respectively. Statistical analyses revealed that the binomial distribution better described the
2018/19 data (log-likelihood ratio statistics, LRS = 2.24, df = 1, P > 0.05), while the
beta-binomial distribution was more suitable for the 2019/20 data (LRS = 7.82, df = 1, P <
0.05). However, the Fisher's indices of dispersion for both data, close to one, indicated a
relatively uniform distribution of diseased plants. Semivariogram analysis confirmed the
uniform distribution of diseased plants across the study fields. Geostatistical examination of
the large-scale distribution of diseased plants unveiled low spatial dependence, with an
index of aggregation around 1 and an intracluster correlation coefficient of ≤ 0.03. The
absence of pronounced spatial clustering emphasizes the critical significance of a
widespread distribution throughout the field, highlighting the imminent risk of rapid plant
infestation and underscoring the necessity for prompt control measures to prevent potential
extensive damage. In conclusion, these findings deepen our understanding of the epidemic
dynamics of this disease, providing a basis for targeted interventions and effective
management strategies in Brazilian maize production. MenosCorn stunting disease complex poses a severe threat to maize production in Brazil, with
persistent outbreaks and substantial crop losses since 2015. This disease complex involves
two phloem bacterial pathogens, the maize bushy stunt phytoplasma (?Candidatus
Phytoplasma asteris?) and Spiroplasma kunkelii, both transmitted by the corn leafhopper
Dalbulus maidis (Hemiptera: Cicadellidae). Empirical studies to assess the epidemic
dynamics of this disease are scarce. This study aimed to comprehensively assess disease
incidence and progression in an experimental field in Chapecó, Santa Catarina, Brazil,
during the 2018/19 and 2019/20 cropping seasons. A meticulous visual evaluation of a total
of 2860 and 6336 maize plants was conducted, mapping binary data representing the
presence (1) or absence (0) of symptoms at 80 days after sowing. The observed corn
stunting disease incidence was 7.62% and 4.58% for the 2018/19 and 2019/20 seasons,
respectively. Statistical analyses revealed that the binomial distribution better described the
2018/19 data (log-likelihood ratio statistics, LRS = 2.24, df = 1, P > 0.05), while the
beta-binomial distribution was more suitable for the 2019/20 data (LRS = 7.82, df = 1, P <
0.05). However, the Fisher's indices of dispersion for both data, close to one, indicated a
relatively uniform distribution of diseased plants. Semivariogram analysis confirmed the
uniform distribution of diseased plants across the study fields. Geostatistical examination of
the... Mostrar Tudo |
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Thesagro: |
distribuição espaço-temporal; epidemia; molicutes. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02870naa a2200205 a 4500
001 1134463
005 2024-05-02
008 2024 bl uuuu u00u1 u #d
100 1 $aCANALE, MC
245 $aUnravelling the spatial dynamics and incidence of corn stunting disease complex in Brazilian maize fields.$h[electronic resource]
260 $c2024
520 $aCorn stunting disease complex poses a severe threat to maize production in Brazil, with persistent outbreaks and substantial crop losses since 2015. This disease complex involves two phloem bacterial pathogens, the maize bushy stunt phytoplasma (?Candidatus Phytoplasma asteris?) and Spiroplasma kunkelii, both transmitted by the corn leafhopper Dalbulus maidis (Hemiptera: Cicadellidae). Empirical studies to assess the epidemic dynamics of this disease are scarce. This study aimed to comprehensively assess disease incidence and progression in an experimental field in Chapecó, Santa Catarina, Brazil, during the 2018/19 and 2019/20 cropping seasons. A meticulous visual evaluation of a total of 2860 and 6336 maize plants was conducted, mapping binary data representing the presence (1) or absence (0) of symptoms at 80 days after sowing. The observed corn stunting disease incidence was 7.62% and 4.58% for the 2018/19 and 2019/20 seasons, respectively. Statistical analyses revealed that the binomial distribution better described the 2018/19 data (log-likelihood ratio statistics, LRS = 2.24, df = 1, P > 0.05), while the beta-binomial distribution was more suitable for the 2019/20 data (LRS = 7.82, df = 1, P < 0.05). However, the Fisher's indices of dispersion for both data, close to one, indicated a relatively uniform distribution of diseased plants. Semivariogram analysis confirmed the uniform distribution of diseased plants across the study fields. Geostatistical examination of the large-scale distribution of diseased plants unveiled low spatial dependence, with an index of aggregation around 1 and an intracluster correlation coefficient of ≤ 0.03. The absence of pronounced spatial clustering emphasizes the critical significance of a widespread distribution throughout the field, highlighting the imminent risk of rapid plant infestation and underscoring the necessity for prompt control measures to prevent potential extensive damage. In conclusion, these findings deepen our understanding of the epidemic dynamics of this disease, providing a basis for targeted interventions and effective management strategies in Brazilian maize production.
650 $adistribuição espaço-temporal
650 $aepidemia
650 $amolicutes
700 1 $aCASTILHOS, R. V.
700 1 $aANDRADE, M. V. S.
700 1 $aNESI, C. N.
700 1 $aZAKEEL, M. C. M.
773 $tIn: INTERNATIONAL EPIDEMIOLOGY WORKSHOP, 13., 2024, Foz do Iguaçú, PR. Abstracts... Viçosa, MG: UFV, 2024. p. 70
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