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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
08/03/2021 |
Data da última atualização: |
26/08/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
OLIVEIRA, T. C. de; BARELLI, M. A. A.; SILVA, V. P. da; FELIPIN-AZEVEDO, R.; GONÇALVES, D. de L.; SANTOS, P. R. J. dos; POLETINE, J. P.; GALBIATI, C.; TARDIN, F. D. |
Afiliação: |
TANIELE CARVALHO DE OLIVEIRA, Universidade do Estado de Mato Grosso; MARCO ANTONIO APARECIDO BARELLI, Universidade do Estado de Mato Grosso Marco Antonio Aparecido Barelli; VALVENARG PEREIRA DA SILVA, Universidade do Estado de Mato Grosso; RAFHAEL FELIPIN-AZEVEDO, Universidade do Estado de Mato Grosso; DANILO DE LIMA GONÇALVES, Universidade do Estado de Mato Grosso; PAULO RICARDO JUNGES DOS SANTOS, Universidade do Estado de Mato Grosso; JULIANA PARISOTTO POLETINE, Universidade Estadual de Maringá; CARLA GALBIATI, Universidade do Estado de Mato Grosso; FLAVIO DESSAUNE TARDIN, CNPMS. |
Título: |
Correlations between characters and path analysis in sweet sorghum (Sorghum bicolor (L.) Moench) genotypes for juice production. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Australian Journal of Crop Science, v. 15, n. 2, p. 290-296, 2021. |
DOI: |
10.21475/ajcs.21.15.02.p3083 |
Idioma: |
Inglês |
Conteúdo: |
Sweet sorghum presents stems with juice similar to that of sugar cane, rich in fermentable sugars, that may be used in off-season for sugar and ethanol production optimizing the sugar-ethanol sector. The objective of this work was to determine genetic correlations between characters and perform path analysis between juice volume and its components. Twenty-five sweet sorghum genotypes were evaluated in randomized blocks design with three repetitions and studied variables were: number of days to flowering; plant height; number of stems; weight of green mass; weight of dry mass; number of leaves; diameter of stems; volume of extracted juice and percentage of total soluble solids. In order to verify the existence of variability among the genotypes, data were subjected to variance analysis by F-test. Subsequently, genetic parameters were determined, as soon as genetic correlation estimator?s method, performed by t-test, to determine phenotypic correlation and bootstrap method for determining environmental and genetics correlation coefficient. Before performing path analysis a multicollinearity diagnosis was also conducted. The results of genetic correlation and path analysis point weight of green mass as the main variable influencing the juice volume, allowing these characters in indirect selection for increasing juice volume. |
Palavras-Chave: |
Correlação genética; Setor Sucroenergético; Volume do suco. |
Thesagro: |
Melhoramento Genético Vegetal. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/221704/1/Correlations-between.pdf
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Marc: |
LEADER 02262naa a2200277 a 4500 001 2130542 005 2021-08-26 008 2021 bl uuuu u00u1 u #d 024 7 $a10.21475/ajcs.21.15.02.p3083$2DOI 100 1 $aOLIVEIRA, T. C. de 245 $aCorrelations between characters and path analysis in sweet sorghum (Sorghum bicolor (L.) Moench) genotypes for juice production.$h[electronic resource] 260 $c2021 520 $aSweet sorghum presents stems with juice similar to that of sugar cane, rich in fermentable sugars, that may be used in off-season for sugar and ethanol production optimizing the sugar-ethanol sector. The objective of this work was to determine genetic correlations between characters and perform path analysis between juice volume and its components. Twenty-five sweet sorghum genotypes were evaluated in randomized blocks design with three repetitions and studied variables were: number of days to flowering; plant height; number of stems; weight of green mass; weight of dry mass; number of leaves; diameter of stems; volume of extracted juice and percentage of total soluble solids. In order to verify the existence of variability among the genotypes, data were subjected to variance analysis by F-test. Subsequently, genetic parameters were determined, as soon as genetic correlation estimator?s method, performed by t-test, to determine phenotypic correlation and bootstrap method for determining environmental and genetics correlation coefficient. Before performing path analysis a multicollinearity diagnosis was also conducted. The results of genetic correlation and path analysis point weight of green mass as the main variable influencing the juice volume, allowing these characters in indirect selection for increasing juice volume. 650 $aMelhoramento Genético Vegetal 653 $aCorrelação genética 653 $aSetor Sucroenergético 653 $aVolume do suco 700 1 $aBARELLI, M. A. A. 700 1 $aSILVA, V. P. da 700 1 $aFELIPIN-AZEVEDO, R. 700 1 $aGONÇALVES, D. de L. 700 1 $aSANTOS, P. R. J. dos 700 1 $aPOLETINE, J. P. 700 1 $aGALBIATI, C. 700 1 $aTARDIN, F. D. 773 $tAustralian Journal of Crop Science$gv. 15, n. 2, p. 290-296, 2021.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
04/12/2019 |
Data da última atualização: |
04/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
VIANA, R. da S.; MOREIRA, B. R. de A.; MAY, A.; MIASAKI, C. T.; CARASCHI, J. C.; ANDRADE, M. G. de O. |
Afiliação: |
RONALDO DA SILVA VIANA, FCAT-UNESP; BRUNO RAFAEL DE ALMEIRA MOREIRA, FEIS-UNESP; ANDRE MAY, CNPMA; CELSO TADAO MIASAKI, FCAT-UNESP; JOSÉ CLAUDIO CARASCHI, UNESP; MARIA GABRIELA DE OLIVEIRA ANDRADE, FEIS-UNESP. |
Título: |
Juice technological quality, lignocellulosic physical-chemical attributes and biomass yield from energy cane clones. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Australian Journal of Crop Science, v. 13, n. 5, p. 746-752, 2019. |
DOI: |
https://doi.org/10.21475/ajcs.19.13.05.p1490 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Originating from backcrossing generations between wild and commercial sugarcane varieties, ?energy cane? technology promises to revolutionize global energetic scenario, once full use of feedstock is allowed. Therefore, the aim of this study was to assess juice technological quality, lignocellulosic physical-chemical composition, and biomass yield of nine energy cane. The experiment had a randomized block design with five replications for each clone (treatment) (VX12-1659, VX12-1658, VX12-1356, VX12-1191, VX12-1022, VX12-0277, VX12-0201, VX12-0180, and VX12-0046) with five replicates. Following to tillage harvest, stalk samples were assessed for total soluble solids (ºBrix; % juice), sucrose (Pol; % juice), purity (Prt; % juice), reducing sugars (RS; % juice), theoretical sugars recoverable (TSR; kg t-1 stalks), Pol (% cane), RS (% cane), moisture (% cane), fibers (Fib; % cane), and dry biomass yield (DBY; t ha-1). The obtained data was subjected to the following statistical tests (p < 0.05): Shapiro?Wilk, Fisher, Tukey, and Pearson?s linear correlation. Findings revealed null hypothesis rejection, suggesting the clones significantly affected all assessed traits. The individuals VX12-1659, VX12-1658, VX12-1356, VX12-1191, VX12-1022, and VX12-0277 exhibited the highest °Brix (% juice), Pol (% juice), Prt (% juice), TSR, Pol (% cane), moisture (% cane), and Fib (% cane) values. In addition, the clones VX12-1659, VX12-1658, and VX12-1356 resulted in DBY averages higher than other individuals of the population. In fact, all clones showed Type II energy cane typical characteristics due to a low sucrose/fiber ratio. Thus, the energy cane clones are suitable for bioelectricity co-generation. MenosAbstract: Originating from backcrossing generations between wild and commercial sugarcane varieties, ?energy cane? technology promises to revolutionize global energetic scenario, once full use of feedstock is allowed. Therefore, the aim of this study was to assess juice technological quality, lignocellulosic physical-chemical composition, and biomass yield of nine energy cane. The experiment had a randomized block design with five replications for each clone (treatment) (VX12-1659, VX12-1658, VX12-1356, VX12-1191, VX12-1022, VX12-0277, VX12-0201, VX12-0180, and VX12-0046) with five replicates. Following to tillage harvest, stalk samples were assessed for total soluble solids (ºBrix; % juice), sucrose (Pol; % juice), purity (Prt; % juice), reducing sugars (RS; % juice), theoretical sugars recoverable (TSR; kg t-1 stalks), Pol (% cane), RS (% cane), moisture (% cane), fibers (Fib; % cane), and dry biomass yield (DBY; t ha-1). The obtained data was subjected to the following statistical tests (p < 0.05): Shapiro?Wilk, Fisher, Tukey, and Pearson?s linear correlation. Findings revealed null hypothesis rejection, suggesting the clones significantly affected all assessed traits. The individuals VX12-1659, VX12-1658, VX12-1356, VX12-1191, VX12-1022, and VX12-0277 exhibited the highest °Brix (% juice), Pol (% juice), Prt (% juice), TSR, Pol (% cane), moisture (% cane), and Fib (% cane) values. In addition, the clones VX12-1659, VX12-1658, and VX12-1356 resulted in DBY averages higher... Mostrar Tudo |
Palavras-Chave: |
Cellulosic ethanol; Electricity cogeneration; Fiber cane. |
Thesagro: |
Bioenergia; Biomassa; Cana de Açúcar; Eletricidade. |
Thesaurus NAL: |
Bioelectricity; Bioenergy; Sugarcane; Sugarcane juice. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206203/1/May-Juice-Technological-2019.pdf
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Marc: |
LEADER 02716naa a2200325 a 4500 001 2115957 005 2019-12-04 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.21475/ajcs.19.13.05.p1490$2DOI 100 1 $aVIANA, R. da S. 245 $aJuice technological quality, lignocellulosic physical-chemical attributes and biomass yield from energy cane clones.$h[electronic resource] 260 $c2019 520 $aAbstract: Originating from backcrossing generations between wild and commercial sugarcane varieties, ?energy cane? technology promises to revolutionize global energetic scenario, once full use of feedstock is allowed. Therefore, the aim of this study was to assess juice technological quality, lignocellulosic physical-chemical composition, and biomass yield of nine energy cane. The experiment had a randomized block design with five replications for each clone (treatment) (VX12-1659, VX12-1658, VX12-1356, VX12-1191, VX12-1022, VX12-0277, VX12-0201, VX12-0180, and VX12-0046) with five replicates. Following to tillage harvest, stalk samples were assessed for total soluble solids (ºBrix; % juice), sucrose (Pol; % juice), purity (Prt; % juice), reducing sugars (RS; % juice), theoretical sugars recoverable (TSR; kg t-1 stalks), Pol (% cane), RS (% cane), moisture (% cane), fibers (Fib; % cane), and dry biomass yield (DBY; t ha-1). The obtained data was subjected to the following statistical tests (p < 0.05): Shapiro?Wilk, Fisher, Tukey, and Pearson?s linear correlation. Findings revealed null hypothesis rejection, suggesting the clones significantly affected all assessed traits. The individuals VX12-1659, VX12-1658, VX12-1356, VX12-1191, VX12-1022, and VX12-0277 exhibited the highest °Brix (% juice), Pol (% juice), Prt (% juice), TSR, Pol (% cane), moisture (% cane), and Fib (% cane) values. In addition, the clones VX12-1659, VX12-1658, and VX12-1356 resulted in DBY averages higher than other individuals of the population. In fact, all clones showed Type II energy cane typical characteristics due to a low sucrose/fiber ratio. Thus, the energy cane clones are suitable for bioelectricity co-generation. 650 $aBioelectricity 650 $aBioenergy 650 $aSugarcane 650 $aSugarcane juice 650 $aBioenergia 650 $aBiomassa 650 $aCana de Açúcar 650 $aEletricidade 653 $aCellulosic ethanol 653 $aElectricity cogeneration 653 $aFiber cane 700 1 $aMOREIRA, B. R. de A. 700 1 $aMAY, A. 700 1 $aMIASAKI, C. T. 700 1 $aCARASCHI, J. C. 700 1 $aANDRADE, M. G. de O. 773 $tAustralian Journal of Crop Science$gv. 13, n. 5, p. 746-752, 2019.
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