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 | Acesso ao texto completo restrito à biblioteca da Embrapa Hortaliças. Para informações adicionais entre em contato com cnph.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Hortaliças. |
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Data corrente: |
16/12/2019 |
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Data da última atualização: |
16/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GONZÁLEZ-ARCOS, M.; FONSECA, M. E. N.; ZANDONADI, D. B.; PERES, L. E. P.; ARRUABARRENA, A.; FERREIRA, D. S.; KEVEI, Z.; MOHABEB, F.; THOMPSON, A. J.; BOITEUX, L. S. |
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Afiliação: |
MATÍAS GONZÁLEZ-ARCOS, ESTACIÓN EXPERIMENTAL , INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA; MARIA ESTHER DE N FONSECA BOITEUX, CNPH; DANIEL BASILIO ZANDONADI, CNPH; LÁZARO E. P. PERES, LABORATORY OF HORMONAL CONTROL OF PLANT DEVELOPMENT, DEPARTAMENTO DE CIENCIAS BIOLÓGICAS, ESALQ/USP; ANA ARRUABARRENA, ESTACIÓN EXPERIMENTAL, INSTITTUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA; DEMATRYUS S. FERREIRA, CRANFIELD SOIL AND AGRIFOOD INSTITUTE, CRANFIELD UNIVERSITY.; ZOLTAN KEVEI, CRANFIELD SOIL AND AGRIFOOD INSTITUTE, CRANFIELD UNIVERSITY.; FADY MOHAREB, CRANFIELD SOIL AND AGRIFOOD INSTITUTE, CRANFIELD UNIVERSITY.; ANDREW J. THOMPSON, CRANFIELD SOIL AND AGRIFOOD INSTITUTE, CRANFIELD UNIVERSITY.; LEONARDO SILVA BOITEUX, CNPH. |
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Título: |
A loss-of-function allele of TAC1-like gene (SITAC1) located on tomato chromosome 10 is a candidate for the Erectoid leaf (Erl) mutation. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Euphytica, v. 215, n. 5, p. 1-16, 2019. |
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DOI: |
10.1007/s10681-019-2418-1 |
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Idioma: |
Inglês |
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Conteúdo: |
The genetic basis of an erectoid leaf phenotype was investigated in distinct tomato breeding populations, including one derived from Solanum lycopersicum 'LT05' (with the erectoid leaf phenotype and uniform ripening, genotype uu ) x S. pimpinellifollium 'TO-937' (with the wild-type leaf phenotype and green fruit shoulder, genotype UU ). |
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Palavras-Chave: |
Comparative genomic analysis; Plant architecture breeding. |
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Thesaurus Nal: |
Solanum lycopersicum. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01221naa a2200277 a 4500
001 2116933
005 2019-12-16
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1007/s10681-019-2418-1$2DOI
100 1 $aGONZÁLEZ-ARCOS, M.
245 $aA loss-of-function allele of TAC1-like gene (SITAC1) located on tomato chromosome 10 is a candidate for the Erectoid leaf (Erl) mutation.$h[electronic resource]
260 $c2019
520 $aThe genetic basis of an erectoid leaf phenotype was investigated in distinct tomato breeding populations, including one derived from Solanum lycopersicum 'LT05' (with the erectoid leaf phenotype and uniform ripening, genotype uu ) x S. pimpinellifollium 'TO-937' (with the wild-type leaf phenotype and green fruit shoulder, genotype UU ).
650 $aSolanum lycopersicum
653 $aComparative genomic analysis
653 $aPlant architecture breeding
700 1 $aFONSECA, M. E. N.
700 1 $aZANDONADI, D. B.
700 1 $aPERES, L. E. P.
700 1 $aARRUABARRENA, A.
700 1 $aFERREIRA, D. S.
700 1 $aKEVEI, Z.
700 1 $aMOHABEB, F.
700 1 $aTHOMPSON, A. J.
700 1 $aBOITEUX, L. S.
773 $tEuphytica$gv. 215, n. 5, p. 1-16, 2019.
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Registro original: |
Embrapa Hortaliças (CNPH) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
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Data corrente: |
16/10/2023 |
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Data da última atualização: |
16/10/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 3 |
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Autoria: |
HIDALGO CHÁVEZ, D. W.; SILVA, F. L. C. DA; PINTO, R. V.; CARVALHO, C. W. P. de; FREITAS-SILVA, O. |
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Afiliação: |
DAVY WILLIAM HIDALGO CHÁVEZ, UFRRJ; FELIPE LEITE COELHO DA SILVA, UFRRJ; RENAN VICENTE PINTO, UFRRJ; CARLOS WANDERLEI PILER DE CARVALHO, CTAA; OTNIEL FREITAS SILVA, CTAA. |
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Título: |
Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
CyTA: Journal of Food, v. 21, n. 1, p. 606-613, 2023. |
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DOI: |
https://doi.org/10.1080/19476337.2023.2263513 |
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Idioma: |
Inglês |
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Conteúdo: |
This article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extrudates were processed using two optimization alternatives: a) image size reduction (from 2126 to 25 pixels); and b) grayscale conversion before size reduction. After applying PCA and HCPC, all tests yielded consistently similar results with the same PCA distribution and identical HCPC groups. Furthermore, expanded and low expanded extrudates formed groups with their respective peers. The RAM allocated to images and the time required to process them was reduced from 1727 Mb to less than 5 Mb and from ~ 2000s to just 0.1s, respectively. These results demonstrate the e feasibility of using these two simple multivariate statistical techniques for image classification. |
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Palavras-Chave: |
Image classification. |
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Thesaurus NAL: |
Image analysis; Principal component analysis. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1157235/1/Streamlined-approaches-for-image-classification-using-principal-component-analysis-and-hierarchical-clustering-of-extrudates-from-coffee-and-sorghum-b.pdf
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Marc: |
LEADER 01652naa a2200217 a 4500
001 2157235
005 2023-10-16
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1080/19476337.2023.2263513$2DOI
100 1 $aHIDALGO CHÁVEZ, D. W.
245 $aStreamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends.$h[electronic resource]
260 $c2023
520 $aThis article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extrudates were processed using two optimization alternatives: a) image size reduction (from 2126 to 25 pixels); and b) grayscale conversion before size reduction. After applying PCA and HCPC, all tests yielded consistently similar results with the same PCA distribution and identical HCPC groups. Furthermore, expanded and low expanded extrudates formed groups with their respective peers. The RAM allocated to images and the time required to process them was reduced from 1727 Mb to less than 5 Mb and from ~ 2000s to just 0.1s, respectively. These results demonstrate the e feasibility of using these two simple multivariate statistical techniques for image classification.
650 $aImage analysis
650 $aPrincipal component analysis
653 $aImage classification
700 1 $aSILVA, F. L. C. DA
700 1 $aPINTO, R. V.
700 1 $aCARVALHO, C. W. P. de
700 1 $aFREITAS-SILVA, O.
773 $tCyTA: Journal of Food$gv. 21, n. 1, p. 606-613, 2023.
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Registro original: |
Embrapa Agroindústria de Alimentos (CTAA) |
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