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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo; Embrapa Semiárido. |
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Data corrente: |
31/07/2023 |
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Data da última atualização: |
31/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SIMOES, W. L.; OLIVEIRA, C. P. M. de; OLIVEIRA, A. R. de; FARIA, G. A.; GUIMARÃES, M. J. M.; TARDIN, F. D.; SILVA, J. S. da. |
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Afiliação: |
WELSON LIMA SIMOES, CPATSA; CÍNTIA PATRÍCIA MARTINS DE OLIVEIRA, Universidade Estadual Paulista Júlio de Mesquita Filho, Ilha Solteira, SP; ANDERSON RAMOS DE OLIVEIRA, CPATSA; GLAUCIA AMORIM FARIA, Universidade Estadual Paulista Júlio de Mesquita Filho, Ilha Solteira, SP; MIGUEL JÚLIO MACHADO GUIMARÃES, Instituto Federal de Educação, Ciência e Tecnologia do Maranhão, São Raimundo das Mangabeiras, ma; FLAVIO DESSAUNE TARDIN, CNPMS; JUCICLÉIA SOARES DA SILVA. |
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Título: |
Production components of agroindustrial interest of sugarcane varieties under subsurface drip irrigation in Semiarid conditions. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Acta Scientiarum. Biological Sciences, v. 45, e63349, 2023. |
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ISSN: |
1807-863X |
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DOI: |
10.4025/actascibiolsci.v45i1.63349 |
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Idioma: |
Inglês |
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Conteúdo: |
The identification of promising commercial varieties for irrigated crops in semiarid conditions based on characters of interest to sugarcane agro-industries is important, considering the search for high sugarcane yields to obtain sustainable crops. Thus, the objective of this work was to evaluate production components of agroindustrial interest of different sugarcane varieties grown under subsurface drip irrigation in the Semiarid region of Brazil, during two crop cycles. A randomized block experimental design was used, in an 8×2 factorial arrangement (varieties and cycles) with three replications. The sugarcane juice quality, sugar yield, and culm yield were evaluated in each cycle. Gross sugar percentage, sugarcane culm yield, juice apparent sucrose content, and juice purity were affected by the crop cycles. Soluble solids content presented strong significant correlation with most variables of agroindustrial interest. The path coefficient analysis showed that juice apparent sucrose content was the explanatory character with higher direct effect on soluble solids and that this variable presented high indirect effects on most explanatory variables. The sugarcane varieties RB72454 and Q124 are recommended for production managements with drip irrigation under semiarid conditions. Soluble solids content can be used as an alternative for direct selection of varieties with higher sugar yields in different cycles. |
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Palavras-Chave: |
Análise de coeficiente de caminho; Correlação de Pearson; Interesse agroindustrial; Parâmetros tecnológicos de qualidade. |
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Thesagro: |
Cana de Açúcar; Irrigação por Gotejamento. |
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Thesaurus Nal: |
Saccharum; Sugarcane. |
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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/1155438/1/Production-components-of-agroindustrial-interest-2023.pdf
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Marc: |
LEADER 02465naa a2200313 a 4500
001 2155438
005 2023-07-31
008 2023 bl uuuu u00u1 u #d
022 $a1807-863X
024 7 $a10.4025/actascibiolsci.v45i1.63349$2DOI
100 1 $aSIMOES, W. L.
245 $aProduction components of agroindustrial interest of sugarcane varieties under subsurface drip irrigation in Semiarid conditions.$h[electronic resource]
260 $c2023
520 $aThe identification of promising commercial varieties for irrigated crops in semiarid conditions based on characters of interest to sugarcane agro-industries is important, considering the search for high sugarcane yields to obtain sustainable crops. Thus, the objective of this work was to evaluate production components of agroindustrial interest of different sugarcane varieties grown under subsurface drip irrigation in the Semiarid region of Brazil, during two crop cycles. A randomized block experimental design was used, in an 8×2 factorial arrangement (varieties and cycles) with three replications. The sugarcane juice quality, sugar yield, and culm yield were evaluated in each cycle. Gross sugar percentage, sugarcane culm yield, juice apparent sucrose content, and juice purity were affected by the crop cycles. Soluble solids content presented strong significant correlation with most variables of agroindustrial interest. The path coefficient analysis showed that juice apparent sucrose content was the explanatory character with higher direct effect on soluble solids and that this variable presented high indirect effects on most explanatory variables. The sugarcane varieties RB72454 and Q124 are recommended for production managements with drip irrigation under semiarid conditions. Soluble solids content can be used as an alternative for direct selection of varieties with higher sugar yields in different cycles.
650 $aSaccharum
650 $aSugarcane
650 $aCana de Açúcar
650 $aIrrigação por Gotejamento
653 $aAnálise de coeficiente de caminho
653 $aCorrelação de Pearson
653 $aInteresse agroindustrial
653 $aParâmetros tecnológicos de qualidade
700 1 $aOLIVEIRA, C. P. M. de
700 1 $aOLIVEIRA, A. R. de
700 1 $aFARIA, G. A.
700 1 $aGUIMARÃES, M. J. M.
700 1 $aTARDIN, F. D.
700 1 $aSILVA, J. S. da
773 $tActa Scientiarum. Biological Sciences$gv. 45, e63349, 2023.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Acre; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Meio Ambiente. |
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Data corrente: |
11/01/2023 |
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Data da última atualização: |
24/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
REIS, J. C. dos; RODRIGUES, G. S.; BARROS, I. de; RODRIGUES, R. de A. R.; GARRETT, R. D.; VALENTIM, J. F.; KAMOI, M. Y. T.; MICHETTI, M.; WRUCK, F. J.; RODRIGUES-FILHO, S. |
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Afiliação: |
JULIO CESAR DOS REIS, CPAC; GERALDO STACHETTI RODRIGUES, CNPMA; INACIO DE BARROS, CNPGL; RENATO DE ARAGÃO RIBEIRO RODRIGUES; RACHAEL D. GARRETT; JUDSON FERREIRA VALENTIM, CPAF-AC; MARIANA Y. T. KAMOI; MIQUEIAS MICHETTI; FLAVIO JESUS WRUCK, CPAMT; SAULO RODRIGUES‑FILHO. |
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Título: |
Fuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Agronomy for Sustainable Development, v. 43, 2023. |
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Páginas: |
18 p. |
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DOI: |
https://doi.org/10.1007/s13593-022-00858-5 |
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Idioma: |
Inglês |
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Conteúdo: |
Assessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic, but lower social and environmental performances. These results are in contrast to the oft-perceived trade-ofs among diferent pillars of sustainability and show that integrated systems have the potential to balance multiple sustainability objectives, by leveraging multiple subsystem synergies. The innovative fuzzy inference model proposed is suitable to deal with information at the farm level, handling diferent types of farming systems, and applicable to diferent environmental or socioeconomic contexts. Moreover, the proposed indicators and associated indices ofer relevant information to policy-makers to foster the sustainable intensifcation of farming systems, while promoting environmental
protection and the coexistence of biodiversity and the agricultural sector. MenosAssessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic... Mostrar Tudo |
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Palavras-Chave: |
Sistema agrícola; Sustentabilidade. |
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Thesagro: |
Cerrado. |
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Thesaurus NAL: |
Amazonia; Fuzzy logic; Integrated agricultural systems. |
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Categoria do assunto: |
--
A Sistemas de Cultivo
P Recursos Naturais, Ciências Ambientais e da Terra
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 03258naa a2200325 a 4500
001 2150885
005 2023-03-24
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s13593-022-00858-5$2DOI
100 1 $aREIS, J. C. dos
245 $aFuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier.$h[electronic resource]
260 $c2023
300 $a18 p.
520 $aAssessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic, but lower social and environmental performances. These results are in contrast to the oft-perceived trade-ofs among diferent pillars of sustainability and show that integrated systems have the potential to balance multiple sustainability objectives, by leveraging multiple subsystem synergies. The innovative fuzzy inference model proposed is suitable to deal with information at the farm level, handling diferent types of farming systems, and applicable to diferent environmental or socioeconomic contexts. Moreover, the proposed indicators and associated indices ofer relevant information to policy-makers to foster the sustainable intensifcation of farming systems, while promoting environmental protection and the coexistence of biodiversity and the agricultural sector.
650 $aAmazonia
650 $aFuzzy logic
650 $aIntegrated agricultural systems
650 $aCerrado
653 $aSistema agrícola
653 $aSustentabilidade
700 1 $aRODRIGUES, G. S.
700 1 $aBARROS, I. de
700 1 $aRODRIGUES, R. de A. R.
700 1 $aGARRETT, R. D.
700 1 $aVALENTIM, J. F.
700 1 $aKAMOI, M. Y. T.
700 1 $aMICHETTI, M.
700 1 $aWRUCK, F. J.
700 1 $aRODRIGUES-FILHO, S.
773 $tAgronomy for Sustainable Development$gv. 43, 2023.
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