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Registro Completo |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
05/10/2022 |
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Data da última atualização: |
05/10/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LEITE, C. E. C.; SOUZA, B. K. F.; MANFIO, C. E.; WAMSER, G. H.; ALVES, D. P.; FRANCISCO, A. |
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Título: |
Sweet Potato New Varieties Screening Based on Morphology, Pulp Color, Proximal Composition, and Total Dietary Fiber Content via Factor Analysis and Principal Component Analysis. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Frontiers in plant Science, Califórnia, San Diego, v. 13, p. 1-18, 2022. |
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Idioma: |
Inglês |
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Conteúdo: |
A sample set of 18 sweet potatoes [Ipomoea batatas (L.) Lam] segmented into six registered cultivars and 12 new varieties were evaluated. The 142 tuberous roots were obtained from a sweet potato germplasm bank (BAG-sweet potato; -27.417713768824555 and -49.64874168439556), specifically from plants belonging to a sweet potato breeding program. All samples were characterized according to their morphology, instrumental pulp color, proximate composition, and total dietary fiber. The analytical results were submitted to parametric and non-parametric statistical tests for sample variance data comparison. Moreover, the screening of the cultivars and new varieties was performed by exploratory statistical analysis, factor analysis (FA), and principal component analysis (PCA). From the sixteen independent variables that characterized the samples, the exploratory FA identified thirteen that had a communality greater than 0.7, with 92.08% of assertiveness. The PCA generated 4 principal components able to account for 84.01% of the explanatory variance. So, among the six registered cultivars, SCS372 Marina and SCS370 Luiza showed the capability to be employed as cultivars for production. Among the 12 sweet potato new varieties, samples 17025-13, 17125-10, and 17117 met the requirements for patent and registration. These results will be useful to farmers who wish to use these sweet potatoes in the development of their crops. |
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Thesagro: |
factor analysis; new crop variety; principal component analysis; sweet potato; total dietary fiber. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02258naa a2200241 a 4500
001 1132503
005 2022-10-05
008 2022 bl uuuu u00u1 u #d
100 1 $aLEITE, C. E. C.
245 $aSweet Potato New Varieties Screening Based on Morphology, Pulp Color, Proximal Composition, and Total Dietary Fiber Content via Factor Analysis and Principal Component Analysis.$h[electronic resource]
260 $c2022
520 $aA sample set of 18 sweet potatoes [Ipomoea batatas (L.) Lam] segmented into six registered cultivars and 12 new varieties were evaluated. The 142 tuberous roots were obtained from a sweet potato germplasm bank (BAG-sweet potato; -27.417713768824555 and -49.64874168439556), specifically from plants belonging to a sweet potato breeding program. All samples were characterized according to their morphology, instrumental pulp color, proximate composition, and total dietary fiber. The analytical results were submitted to parametric and non-parametric statistical tests for sample variance data comparison. Moreover, the screening of the cultivars and new varieties was performed by exploratory statistical analysis, factor analysis (FA), and principal component analysis (PCA). From the sixteen independent variables that characterized the samples, the exploratory FA identified thirteen that had a communality greater than 0.7, with 92.08% of assertiveness. The PCA generated 4 principal components able to account for 84.01% of the explanatory variance. So, among the six registered cultivars, SCS372 Marina and SCS370 Luiza showed the capability to be employed as cultivars for production. Among the 12 sweet potato new varieties, samples 17025-13, 17125-10, and 17117 met the requirements for patent and registration. These results will be useful to farmers who wish to use these sweet potatoes in the development of their crops.
650 $afactor analysis
650 $anew crop variety
650 $aprincipal component analysis
650 $asweet potato
650 $atotal dietary fiber
700 1 $aSOUZA, B. K. F.
700 1 $aMANFIO, C. E.
700 1 $aWAMSER, G. H.
700 1 $aALVES, D. P.
700 1 $aFRANCISCO, A.
773 $tFrontiers in plant Science, Califórnia, San Diego$gv. 13, p. 1-18, 2022.
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Registro original: |
Epagri-Sede (Epagri-Sede) |
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Registro |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
05/09/2019 |
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Data da última atualização: |
05/09/2019 |
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Tipo da produção científica: |
Folder/Folheto/Cartilha |
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Autoria: |
CONCEIÇÃO, G.; LIMA, M.; ALVES, M. P. A. |
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Título: |
MONITORAMENTO METEOROLÓGICO DE SANTA CATARINA PARA MAIO/2018. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Florianopolis: Epagri, 2018. |
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Páginas: |
20 p. |
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Idioma: |
Português |
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Conteúdo: |
Monitoramento meteorológico do mês de maio de 2018 no Estado de Santa catarina utilizando a divisão geográfica segundo as regionais da Celesc. |
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Palavras-Chave: |
Monitoramento meteorológico; Regional da Celesc. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 00622nam a2200169 a 4500
001 1128845
005 2019-09-05
008 2018 bl uuuu t 00u1 u #d
100 1 $aCONCEIÇÃO, G.
245 $aMONITORAMENTO METEOROLÓGICO DE SANTA CATARINA PARA MAIO/2018.$h[electronic resource]
260 $aFlorianopolis: Epagri$c2018
300 $a20 p.
520 $aMonitoramento meteorológico do mês de maio de 2018 no Estado de Santa catarina utilizando a divisão geográfica segundo as regionais da Celesc.
653 $aMonitoramento meteorológico
653 $aRegional da Celesc
700 1 $aLIMA, M.
700 1 $aALVES, M. P. A.
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Epagri-Sede (Epagri-Sede) |
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