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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
12/02/2016 |
Data da última atualização: |
30/03/2016 |
Autoria: |
CASTRO, L. L. F. de.; SEDIYAMA, G. C.; GUIDONI, A. L. |
Afiliação: |
Lucio Livio Froes de Castro, Incaper. |
Título: |
Probabilidade de precipitação mensal e anual para o Estado do Espirito Santo. |
Ano de publicação: |
1981 |
Fonte/Imprenta: |
Cariacica: EMCAPA, 1981. |
Páginas: |
84p. |
Série: |
(EMCAPA. Boletim Tecnico, 7). |
Idioma: |
Português |
Conteúdo: |
This paper presents tables containing data of calculated dependable precipitations for each month of the year and annual for 13 probabilities levels (1, 10, 20, 30, 40, 50, 60, 70, 75, 80, 90, 95 e 99%) for 68 locations of the state of Espirito Santo, and three of Minas Gerais, near the border. Since the precipitation frequency distribution were evaluated based on incomplete gama density function, the arithmetic averages of the monthly precipitation values do not represent, in reality, the most probable value of total monthly precipitation, as in the case of normal distribution. Thus, the mode in often less than the arithmetic average in the present work. |
Palavras-Chave: |
Brasil; Brazil; Clima; Climate; Clime; Distribuicao; Distribuicao gama; Distribution; Espirito Santo; Gama distribution; Precipitacao; Precipitation; Probabilidade; Probability. |
Thesagro: |
Natural resource; Recurso natural. |
Categoria do assunto: |
-- |
URL: |
http://biblioteca.incaper.es.gov.br/digital/bitstream/item/1196/1/BRT-Boletimtecnico-n7-Emcapa.pdf
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Marc: |
LEADER 01581nam a2200349 a 4500 001 1009622 005 2016-03-30 008 1981 bl uuuu u00u1 u #d 100 1 $aCASTRO, L. L. F. de. 245 $aProbabilidade de precipitação mensal e anual para o Estado do Espirito Santo.$h[electronic resource] 260 $aCariacica: EMCAPA$c1981 300 $a84p. 490 $a(EMCAPA. Boletim Tecnico, 7). 520 $aThis paper presents tables containing data of calculated dependable precipitations for each month of the year and annual for 13 probabilities levels (1, 10, 20, 30, 40, 50, 60, 70, 75, 80, 90, 95 e 99%) for 68 locations of the state of Espirito Santo, and three of Minas Gerais, near the border. Since the precipitation frequency distribution were evaluated based on incomplete gama density function, the arithmetic averages of the monthly precipitation values do not represent, in reality, the most probable value of total monthly precipitation, as in the case of normal distribution. Thus, the mode in often less than the arithmetic average in the present work. 650 $aNatural resource 650 $aRecurso natural 653 $aBrasil 653 $aBrazil 653 $aClima 653 $aClimate 653 $aClime 653 $aDistribuicao 653 $aDistribuicao gama 653 $aDistribution 653 $aEspirito Santo 653 $aGama distribution 653 $aPrecipitacao 653 $aPrecipitation 653 $aProbabilidade 653 $aProbability 700 1 $aSEDIYAMA, G. C. 700 1 $aGUIDONI, A. L.
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
01/03/2019 |
Data da última atualização: |
01/03/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 3 |
Autoria: |
BAITELLE, D. C.; FREITAS, S. de J.; VIEIRA, K. M.; MENEGHELLI, C. M.; VERDIN FILHO, A. C.; BARONI, D. F.; PONCIANO, N. J.; SOUZA, P. M. de. |
Afiliação: |
Diego Corona Baitelle; Sílvio de Jesus Freitas, UENF; Kezia Moraes Vieira, UENF; Caroline Merlo Meneghelli, UFES; Abraão Carlos Verdin Filho, Incaper; Danilo Força Baroni, UENF; Niraldo José Ponciano, UENF; Paulo Marcelo de Souza, UENF. |
Título: |
Feasibility and economic risk of Programmed Pruning Cycle in Arabic Coffee. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
American Journal of Plant Sciences, v. 21, n. 4, p. 1-9, 2018. |
Idioma: |
Inglês |
Conteúdo: |
Coffee crop represents a great economic importance in Brazil, in which Arabica coffee represents a great part of the national production. However, the average yield of Arabica coffee is low, which reduces the profitability of the activity. Pruning systems can regain vigor and increase productivity. The system most adopted by coffee farmers is ?recepa? (cutting off the orthotropic branch at 0.8 m above ground), which has not resulted in efficient reinvigoration. It is believed that the implementation of new systems, such as programmed pruning cycle, can improve the productivity of Arabica coffee. However, the economic impacts and risks associated with this type of pruning are still unknown. The objective of this study was to determine the feasibility and financial risk of the use of programmed pruning cycle compared to traditional Arabica pruning. A financial viability of programmed pruning cycle without Arabica coffee was determined by calculating the Net Present Value and the Internal Rate of Return. Using the sensitivity analysis, to identify the items with the greatest impact on the project. Finally, the financial risk of this technique was determined by the Monte Carlo method. The technical coefficient used for the elaboration of cash flows and is available
by the Center for the Development of Agribusiness and the Capixaba Institute for Research, Technical Assistance and Rural Extension. The price data are available from the Coffee Trade Center of Vitória-ES and the Capixaba Institute for Research, Technical Assistance and Rural Extension. The reference year of the data of this work is 2017. A programmed pruning cycle is more economically feasible compared to traditional pruning. It was possible to identify the most sensitive items in pruning systems. The use of programmed pruning cycle of Arabica non-coffee is a practice
with zero risk and economic yield. MenosCoffee crop represents a great economic importance in Brazil, in which Arabica coffee represents a great part of the national production. However, the average yield of Arabica coffee is low, which reduces the profitability of the activity. Pruning systems can regain vigor and increase productivity. The system most adopted by coffee farmers is ?recepa? (cutting off the orthotropic branch at 0.8 m above ground), which has not resulted in efficient reinvigoration. It is believed that the implementation of new systems, such as programmed pruning cycle, can improve the productivity of Arabica coffee. However, the economic impacts and risks associated with this type of pruning are still unknown. The objective of this study was to determine the feasibility and financial risk of the use of programmed pruning cycle compared to traditional Arabica pruning. A financial viability of programmed pruning cycle without Arabica coffee was determined by calculating the Net Present Value and the Internal Rate of Return. Using the sensitivity analysis, to identify the items with the greatest impact on the project. Finally, the financial risk of this technique was determined by the Monte Carlo method. The technical coefficient used for the elaboration of cash flows and is available
by the Center for the Development of Agribusiness and the Capixaba Institute for Research, Technical Assistance and Rural Extension. The price data are available from the Coffee Trade Center of Vitória-ES and the Capi... Mostrar Tudo |
Thesaurus NAL: |
Coffea arabica; Financial analysis; Production costs; Pruning management. |
Categoria do assunto: |
-- |
URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/3402/1/FeasibilityandEconomicRisk.pdf
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Marc: |
LEADER 02642naa a2200253 a 4500 001 1021086 005 2019-03-01 008 2018 bl uuuu u00u1 u #d 100 1 $aBAITELLE, D. C. 245 $aFeasibility and economic risk of Programmed Pruning Cycle in Arabic Coffee.$h[electronic resource] 260 $c2018 520 $aCoffee crop represents a great economic importance in Brazil, in which Arabica coffee represents a great part of the national production. However, the average yield of Arabica coffee is low, which reduces the profitability of the activity. Pruning systems can regain vigor and increase productivity. The system most adopted by coffee farmers is ?recepa? (cutting off the orthotropic branch at 0.8 m above ground), which has not resulted in efficient reinvigoration. It is believed that the implementation of new systems, such as programmed pruning cycle, can improve the productivity of Arabica coffee. However, the economic impacts and risks associated with this type of pruning are still unknown. The objective of this study was to determine the feasibility and financial risk of the use of programmed pruning cycle compared to traditional Arabica pruning. A financial viability of programmed pruning cycle without Arabica coffee was determined by calculating the Net Present Value and the Internal Rate of Return. Using the sensitivity analysis, to identify the items with the greatest impact on the project. Finally, the financial risk of this technique was determined by the Monte Carlo method. The technical coefficient used for the elaboration of cash flows and is available by the Center for the Development of Agribusiness and the Capixaba Institute for Research, Technical Assistance and Rural Extension. The price data are available from the Coffee Trade Center of Vitória-ES and the Capixaba Institute for Research, Technical Assistance and Rural Extension. The reference year of the data of this work is 2017. A programmed pruning cycle is more economically feasible compared to traditional pruning. It was possible to identify the most sensitive items in pruning systems. The use of programmed pruning cycle of Arabica non-coffee is a practice with zero risk and economic yield. 650 $aCoffea arabica 650 $aFinancial analysis 650 $aProduction costs 650 $aPruning management 700 1 $aFREITAS, S. de J. 700 1 $aVIEIRA, K. M. 700 1 $aMENEGHELLI, C. M. 700 1 $aVERDIN FILHO, A. C. 700 1 $aBARONI, D. F. 700 1 $aPONCIANO, N. J. 700 1 $aSOUZA, P. M. de. 773 $tAmerican Journal of Plant Sciences$gv. 21, n. 4, p. 1-9, 2018.
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