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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
03/10/2011 |
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Data da última atualização: |
06/03/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEREIRA, H. S.; MELO, L. C.; DEL PELOSO, M. J.; FARIA, L. C. de; WENDLAND, A. |
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Afiliação: |
HELTON SANTOS PEREIRA, CNPAF; LEONARDO CUNHA MELO, CNPAF; MARIA JOSE DEL PELOSO, CNPAF; LUIS CLAUDIO DE FARIA, CNPAF; ADRIANE WENDLAND FERREIRA, CNPAF. |
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Título: |
Complex interaction between genotypes and growing seasons of carioca common bean in Goiás/Distrito Federal. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 11, n. 3, p. 207-215, 2011. |
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Idioma: |
Inglês |
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Conteúdo: |
The objectives of this study were to assess the importance of the complex interaction between common bean genotypes and growing seasons in the state of Goiás and the Distrito Federal and verify the need for evaluation and indication of cultivars for each season. Yield data of 16 genotypes in 16 trials conducted in two growing seasons (winter and rainy) were used. The coefficient of determination was estimated in the analyses of variance with decomposition of the genotype x environment interaction. The complex percentage of the interaction was estimated and the Spearman correlation between seasons. Differences were detected between seasons and presence of genotype - season (GS) interaction, with greater significance than the other double interactions with genotypes. The correlations indicated a predominantly complex GS interaction. This predominantly complex nature of the GS interaction calls for an assessment of the genotypes in both seasons, which may however identify cultivars with general adaptation. |
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Palavras-Chave: |
Distrito Federal; Goiás; Interação genótipos x ambiente. |
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Thesagro: |
Cerrado; Feijão; Genótipo; Melhoramento genético vegetal; Phaseolus vulgaris. |
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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/42774/1/cbb.pdf
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Marc: |
LEADER 01831naa a2200265 a 4500
001 1902111
005 2024-03-06
008 2011 bl uuuu u00u1 u #d
100 1 $aPEREIRA, H. S.
245 $aComplex interaction between genotypes and growing seasons of carioca common bean in Goiás/Distrito Federal.$h[electronic resource]
260 $c2011
520 $aThe objectives of this study were to assess the importance of the complex interaction between common bean genotypes and growing seasons in the state of Goiás and the Distrito Federal and verify the need for evaluation and indication of cultivars for each season. Yield data of 16 genotypes in 16 trials conducted in two growing seasons (winter and rainy) were used. The coefficient of determination was estimated in the analyses of variance with decomposition of the genotype x environment interaction. The complex percentage of the interaction was estimated and the Spearman correlation between seasons. Differences were detected between seasons and presence of genotype - season (GS) interaction, with greater significance than the other double interactions with genotypes. The correlations indicated a predominantly complex GS interaction. This predominantly complex nature of the GS interaction calls for an assessment of the genotypes in both seasons, which may however identify cultivars with general adaptation.
650 $aCerrado
650 $aFeijão
650 $aGenótipo
650 $aMelhoramento genético vegetal
650 $aPhaseolus vulgaris
653 $aDistrito Federal
653 $aGoiás
653 $aInteração genótipos x ambiente
700 1 $aMELO, L. C.
700 1 $aDEL PELOSO, M. J.
700 1 $aFARIA, L. C. de
700 1 $aWENDLAND, A.
773 $tCrop Breeding and Applied Biotechnology$gv. 11, n. 3, p. 207-215, 2011.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Origem |
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Registro |
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Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Soja. |
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Data corrente: |
27/04/2023 |
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Data da última atualização: |
27/04/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MEIR, Y.; BARBEDO, J. G. A.; KEREN, O.; GODOY, C. V.; AMEDI, N.; SHALOM, Y.; GEVA, A. B. |
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Afiliação: |
YONATAN MEIR, INNEREYE LTD.; JAYME GARCIA ARNAL BARBEDO, CNPTIA; OMRI KEREN, INNEREYE LTD.; CLAUDIA VIEIRA GODOY, CNPSO; NOFAR AMEDI, INNEREYE LTD.; YAAR SHALOM, INNEREYE LTD.; AMIR B. GEVA, INNEREYE LTD., BEN GURION UNIVERSITY. |
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Título: |
Using brainwave patterns recorded from plant pathology experts to increase the reliability of ai-based plant disease recognition system. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Sensors, v. 23, n. 9, 4272, 2023. |
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DOI: |
https://doi.org/10.3390/s23094272 |
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Idioma: |
Inglês |
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Conteúdo: |
This study investigates how the use of electroencephalograms from plant pathology experts can improve the accuracy and robustness of image-based artificial intelligence models dedicated to plant disease recognition. |
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Palavras-Chave: |
Active learning; Aprendizado ativo; Electroencephalogram; Eletroencefalograma; Imagem digital; Inteligência artificial; Labeling; Ondas cerebrais; Patologia de planta. |
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Thesagro: |
Soja. |
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Thesaurus NAL: |
Artificial intelligence; Digital images; Plant diseases and disorders; Plant pathology; Soybeans. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1153401/1/AP-Using-Brainwave-2023.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1153402/1/Using-Brainwave-Patterns-Recorded-from-Plant-Pathology-Experts-to-Increase-the-Reliability-of-AI-Based-Plant-Disease-Recognition-System.pdf
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Marc: |
LEADER 01349naa a2200385 a 4500
001 2153401
005 2023-04-27
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/s23094272$2DOI
100 1 $aMEIR, Y.
245 $aUsing brainwave patterns recorded from plant pathology experts to increase the reliability of ai-based plant disease recognition system.$h[electronic resource]
260 $c2023
520 $aThis study investigates how the use of electroencephalograms from plant pathology experts can improve the accuracy and robustness of image-based artificial intelligence models dedicated to plant disease recognition.
650 $aArtificial intelligence
650 $aDigital images
650 $aPlant diseases and disorders
650 $aPlant pathology
650 $aSoybeans
650 $aSoja
653 $aActive learning
653 $aAprendizado ativo
653 $aElectroencephalogram
653 $aEletroencefalograma
653 $aImagem digital
653 $aInteligência artificial
653 $aLabeling
653 $aOndas cerebrais
653 $aPatologia de planta
700 1 $aBARBEDO, J. G. A.
700 1 $aKEREN, O.
700 1 $aGODOY, C. V.
700 1 $aAMEDI, N.
700 1 $aSHALOM, Y.
700 1 $aGEVA, A. B.
773 $tSensors$gv. 23, n. 9, 4272, 2023.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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