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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
17/12/2014 |
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Data da última atualização: |
17/12/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
DIAS, M. A. N.; MONDO, V. H. V.; CICERO, S. M. |
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Afiliação: |
MARCOS ALTOMANI NEVES DIAS, ESALQ; VITOR HENRIQUE VAZ MONDO, CNPAF; SILVIO MOURE CICERO, ESALQ. |
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Título: |
Recent approaches for bell pepper seed vigor testing. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Acta Scientiarum. Agronomy, Maringá, v. 36, n. 4, p. 483-487, Oct./Dec. 2014. |
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ISSN: |
1679-9275 |
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DOI: |
10.4025/actasciagron.v36i4.18348 |
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Idioma: |
Inglês |
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Conteúdo: |
Seed vigor is a major attribute in the determination of whether a seed lot can be commercialized. Different physiological tests are used to assess seed vigor and are generally based on different concepts, which could lead to variable interpretations, particularly when comparing lots presenting different vigor levels. This study was conducted to compare the different approaches used to evaluate bell pepper seed vigor and verify the applicability of the Seed Vigor Imaging System (SVIS) for this purpose. The experiment was performed using four seed lots of bell pepper hybrids in two periods, and the evaluations involved germination, seedling emergence, seedling emergence speed index, saturated salt accelerated aging and image analysis. The use of seedling imaging analysis by SVIS is a new approach for bell pepper seed vigor evaluation. Both the software and traditional tests provided sufficient information for seed vigor analysis, enabling the segregation of the analyzed seed lots. Thus, the new method fulfills the requirement for an efficient, rapid, cost-effective and standardized method that allows comparisons among laboratories and avoids human influence on the interpretation of the results. SVIS can be considered a feasible option to be included in quality assurance programs of the bell pepper seed industry. |
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Thesagro: |
Capsicum annuum; Pimentão; Semente; Teste de vigor. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/113979/1/vm.pdf
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Marc: |
LEADER 01942naa a2200217 a 4500
001 2002943
005 2014-12-17
008 2014 bl uuuu u00u1 u #d
022 $a1679-9275
024 7 $a10.4025/actasciagron.v36i4.18348$2DOI
100 1 $aDIAS, M. A. N.
245 $aRecent approaches for bell pepper seed vigor testing.
260 $c2014
520 $aSeed vigor is a major attribute in the determination of whether a seed lot can be commercialized. Different physiological tests are used to assess seed vigor and are generally based on different concepts, which could lead to variable interpretations, particularly when comparing lots presenting different vigor levels. This study was conducted to compare the different approaches used to evaluate bell pepper seed vigor and verify the applicability of the Seed Vigor Imaging System (SVIS) for this purpose. The experiment was performed using four seed lots of bell pepper hybrids in two periods, and the evaluations involved germination, seedling emergence, seedling emergence speed index, saturated salt accelerated aging and image analysis. The use of seedling imaging analysis by SVIS is a new approach for bell pepper seed vigor evaluation. Both the software and traditional tests provided sufficient information for seed vigor analysis, enabling the segregation of the analyzed seed lots. Thus, the new method fulfills the requirement for an efficient, rapid, cost-effective and standardized method that allows comparisons among laboratories and avoids human influence on the interpretation of the results. SVIS can be considered a feasible option to be included in quality assurance programs of the bell pepper seed industry.
650 $aCapsicum annuum
650 $aPimentão
650 $aSemente
650 $aTeste de vigor
700 1 $aMONDO, V. H. V.
700 1 $aCICERO, S. M.
773 $tActa Scientiarum. Agronomy, Maringá$gv. 36, n. 4, p. 483-487, Oct./Dec. 2014.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
16/11/2022 |
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Data da última atualização: |
17/01/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
RIBEIRO, V. P.; PADOVANI, C. R.; BALESTIERI, J. A. P. B.; CUNHA, A. S. M.; MARQUES, P. A. A.; DUARTE, S. N.; MACIEL, C. D. |
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Afiliação: |
VITOR P. RIBEIRO, Universidade Estadual Paulista; CARLOS ROBERTO PADOVANI, CPAP; JOSE ANTONIO P. BALESTIERI, Universidade Estadual Paulista; ANGELA S. M. CUNHA, Universidade de São Paulo; PATRICIA A. A. MARQUES, Universidade de São Paulo; SERGIO N. DUARTE, Universidade de São Paulo; CARLOS D. MACIEL, Universidade de São Paulo. |
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Título: |
Bayesian network for hydrological model: an inference approach. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022, Padua, Italy, Proceedings...[S.l.: s.n.], 2022. |
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DOI: |
10.1109/IJCNN55064.2022.9892468 |
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Idioma: |
Português |
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Conteúdo: |
Abstract: According to the Food and Agriculture Organisation, there are growing concerns about the availability and use of water in agriculture. The hydrological model generates a water balance and the resulting value indicates the amount of available water in a given area. The calculation of the water balance is fundamental for the development of new strategies for the management of water resources. One of its main adversities is the estimation of evapotranspiration, which may be considered a fundamental component. This factor considers climatological variables collected from weather stations that are spread over large areas. However, there are frequent cases of long periods of missing data. We evaluated the performance of a Bayesian Network inference model for estimating evapotranspiration in a large agricultural region in Brazil. To this end, the method considered factors such as accuracy, missing data, and model portability. The results indicate that the model achieves up to 86% accuracy when comparing estimated values to expected values derived from the Penman-Monteith equation. The results show that wind speed and relative humidity are the most critical climatological variables for accurate estimation. |
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Thesagro: |
Balanço Hídrico; Evapotranspiração. |
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Thesaurus NAL: |
Bayesian theory; Evapotranspiration; Water balance. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02050nam a2200253 a 4500
001 2148359
005 2023-01-17
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1109/IJCNN55064.2022.9892468$2DOI
100 1 $aRIBEIRO, V. P.
245 $aBayesian network for hydrological model$ban inference approach.$h[electronic resource]
260 $aIn: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022, Padua, Italy, Proceedings...[S.l.: s.n.]$c2022
520 $aAbstract: According to the Food and Agriculture Organisation, there are growing concerns about the availability and use of water in agriculture. The hydrological model generates a water balance and the resulting value indicates the amount of available water in a given area. The calculation of the water balance is fundamental for the development of new strategies for the management of water resources. One of its main adversities is the estimation of evapotranspiration, which may be considered a fundamental component. This factor considers climatological variables collected from weather stations that are spread over large areas. However, there are frequent cases of long periods of missing data. We evaluated the performance of a Bayesian Network inference model for estimating evapotranspiration in a large agricultural region in Brazil. To this end, the method considered factors such as accuracy, missing data, and model portability. The results indicate that the model achieves up to 86% accuracy when comparing estimated values to expected values derived from the Penman-Monteith equation. The results show that wind speed and relative humidity are the most critical climatological variables for accurate estimation.
650 $aBayesian theory
650 $aEvapotranspiration
650 $aWater balance
650 $aBalanço Hídrico
650 $aEvapotranspiração
700 1 $aPADOVANI, C. R.
700 1 $aBALESTIERI, J. A. P. B.
700 1 $aCUNHA, A. S. M.
700 1 $aMARQUES, P. A. A.
700 1 $aDUARTE, S. N.
700 1 $aMACIEL, C. D.
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Embrapa Pantanal (CPAP) |
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