Physiological model to estimate the maturity of sugarcane;Modelo fisiológico para a estimativa da maturação em cana-de-açúcar

Scientia Agricola

Volumn 66, Issue 5, 2009, Pages 622-628

  Scarpari, Maximiliano Salles ^a   de Beauclair, Edgar Gomes Ferreira ^b  

^a AGÊNCIA PAULISTA DE TECNOLOGIA DOS AGRONEGÓCIOS   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Climatology; Crop models; Productivity; Regression; Sucrose

Indexed keywords

SACCHARUM;

EID: 70350402046     PISSN: 01039016     EISSN: 1678992X     Source Type: Journal    
DOI: 10.1590/s0103-90162009000500006     Document Type: Article

References (45)

1. ALEXANDER, A.G. Sugarcane physiology: a comprehensive study of the Saccharum source-to-sink system. Amsterdam: Elsevier, 1973. 752p.
2. ASHTON, F.M. Effects of a series of cycles of alternating low and high soil water contents on rate of apparent photosynthesis in sugar cane. Plant Physiology, v.31, p.266-274, 1956.
3. BARBIERI, V. Condicionamento climático da produtividade potencial da cana-de-açúcar (Saccharum spp.): um modelo matemático-fisiológico de estimativa. Piracicaba: USP/ESALQ, 1993. 142p. Tese (Doutorado).
4. BARBIERI, V.; TERUEL, D.A.; SILVA, J.G.; SANTOS, R.M.N. Balanço hídrico de Thornthwaite e Mather modificado para estimativa de deficiências nas culturas. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 10., Piracicaba, 1997. Anais. Piracicaba: SBAgro, 1997. p.587-589.
5. BERDING, N.; HURNEY, A.P. Flowering and lodging, physiological-based traits affecting cane and sugar yield: what do we know of their control mechanisms and how do we manage them? Field Crops Research, v.92, p.261-275, 2005.
6. BEZUIDENHOUT, C.N.; SINGELS, A. Operational forecasting of South African sugarcane production. Part 1. System description. Agricultural Systems, v.92, p.23-38, 2007.
7. BULL, T.A. The taxonomic significance of quantitative morphological characters and physiological studies in Saccharum. In: CONGRESS OF THE INTERNATIONAL SOCIETY OF SUGARCANE TECHNOLOGISTS, 12., San Juan, 1965. Proceedings. Amsterdam: ISSCT, 1967. p.985-994.
8. BULL, T.A. Photosynthesis efficiencies and photorespiration in Calvin cycle and C4 dicarboxylic and plants. Crop Science, v.9, p.726-729, 1969.
9. CONSELHO DOS PRODUTORES DE CANA-DE-AÇÚCAR, AÇÚCAR E ÁLCOOL DO ESTADO DE SÃO PAULO - CONSECANA. Manual de instruções. Piracicaba: CONSECANA, 2002. 117p.
10. DELGADO ROJAS, J.S. Modelo agrometeorológico para estimativa dos efeitos de deficiência hídrica na produtividade agro-industrial da cana-de-açúcar. Piracicaba: USP/ESALQ, 1998. 74p. Dissertação (Mestrado).
11. EVERINGHAM, Y.L.; INMAN-BAMBER, N.G., THORBURN, P.J.; McNEILL, T.J. A Bayesian modelling approach for long lead sugarcane yield forecasts. Australian Journal of Agricultural Research, v.58, p.87-94, 2007.
12. GLOVER, J. Changes in sucrose % cane and yield of sucrose per unit area associated with cold, drought and ripening. In: SOUTH AFRICAN SUGARCANE TECHNOLOGISTS' ASSOCIATION, 45., Durban, 1971. Proceedings. Mount Edgecombe: SASTA, 1971. p.158-164.
13. GLOVER, J. The rate of apparent photosynthesis of whole sugarcane plants. Annals of Botany, v.38, p.909-920, 1974.
14. GRANTZ, D.A. Effect of cool temperatures on photosynthesis and stomatal conductance in field-grown sugarcane in Hawaii. Field Crops Research, v.22, p.143-155, 1989.
15. HANSEN, J.W.; JONES, J.W. Scaling-up crop models for climate variability applications. Agricultural Systems, v.65, p.43-72, 2000.
16. HARTT, C.E.; BURR, G.O. Factors affecting photosynthesis in sugarcane. In: INTERNATIONAL SOCIETY SUGARCANE TECHNOLOGISTS, 12., San Juan, 1965. Proceedings. Amsterdam: ISSCT, 1967. p.590-609.
17. HEEMST, H.D.J. van. Crop phenology and dry matter distribution. In: KEULEN, H. van; WOLF, J. (Ed.) Modelling of agricultural production: weather, soils and crops. Wageningen: PUDOC, 1986. p.27-40.
18. HOFFMAN, R.; VIEIRA, S. Análise de regressão: uma introdução a econometria. São Paulo: Hucitec, 1977. 379 p.
19. HUMBERT, R.P. The growing of sugarcane. Amsterdam: Elsevier, 1968. 779p.
20. IAIA, A.M.; LEE, T.S.G.; MATSUOKA, S.; PARAZZI, C., FERRARI, S.E.; BARBIERI, V. Efeito do florescimento no rendimento e na qualidade tecnológica da cana-de-açúcar. Brasil Açucareiro, v.103, p.18-25, 1985.
21. INMAN-BAMBER, N.G. A growth model for sugarcane based on a simple carbon balance and CERES-Maize water balance. South African Journal of Plant and Soil, v.8, p.93-99, 1991.
22. INMAN-BAMBER, N.G. Sugarcane water stress criteria for irrigation and drying off. Field Crops Research, v.89, p.107-122, 2004.
23. JENSEN, M.E. Water consumption by agricultural plants. In: KOZLOWZKI, T.T. (Ed.) Water deficits and plant growth. New York: Academic Press, 1968. p.1-22.
24. LAWES, R.A.; LAWN, R.J. Applications of industry information in sugarcane production systems. Field Crops Research, v.92, p.353-363, 2005.
25. LIU, D.L.; BULL, T.A. Simulation of biomass and sugar accumulation in sugarcane using a process-based model. Ecological Modelling, v.144, p.181-211, 2001.
26. LOOMIS, R.S.; AMTHOR, J.S. Yield potential, plant assimilatory capacity, and metabolic efficiencies. Crop Science, v.39, p.1584-1596, 1999.
27. MACHADO, E.C. Um modelo matemático-fisiológico para simular o acúmulo de matéria-seca na cultura da cana-de-açúcar (Saccharum spp.). Campinas: Unicamp, 1981. 115p. Dissertação (Mestrado).
28. MEDINA, E.; SAN JOSE, J.J.; SEQUERA, P.E. Análisis de la productividad en caña de azúcar. III. Respiración en la oscuridad de hojas y tallos de cinco variedades de caña de azúcar y pérdidas nocturnas de materia seca. Turrialba, v.20, p.302-306, 1970.
29. MITCHELL, P.L. Misuse of regression for empirical validation of models. Agricultural Systems, v.54, p.313-326, 1997.
30. O'LEARY, G.J. A review of three sugarcane simulation models with respect to their prediction of sucrose yield. Field Crops Research, v.68, p.97-111, 2000.
31. PENNING DE VRIES, F.W.T.; BRUNSTING, A.H.M.; LAAR, H.H. van. Products, requirements and efficiency of biosynthesis: a quantitative approach. Journal of Theoretical Biology, v.45, p.339-377, 1974.
32. PEREIRA, A.R.; BARBIERI, V.; MANIERO, M.A. Condicionamento climático da indução ao florescimento em cana-de-açúcar. STAB. Açúcar, Álcool e Subprodutos, v.4, p.56-59, 1986.
33. PRADO, H., LANDELL, M.G.A.; ROSSETTO, R. A importância do conhecimento pedológico nos ambientes de produção de canade-açúcar. In: REUNIÃO BRASILEIRA DE MANEJO E CONSERVAÇÃO DE SOLO E ÁGUA, 14., Cuiabá, 2002. Anais. Cuiabá: SBCS, 2002. CD-ROM.
34. ROBBINS, J.L.; DANEMAN, J.C. Parametric estimating & the stepwise statistical technique. National Estimator, v.14, p.24-34, 1999.
35. ROBERTSON, M.J.; DONALDSON, R.A. Changes in the components of cane and sucrose yield in response to drying-off of sugarcane before harvest. Field Crops Research, v.55, p.201-208, 1998.
36. SAS INSTITUTE. SAS language and procedures: usage, version 6. Cary: SAS Institute, 1989. 638p.
37. SCARPARI, M.S.; LANDELL, M.G.A.; BEAUCLAIR, E.G.F. Optimised agricultural planning of sugarcane using linear programming. In: CONGRESS OF THE INTERNATIONAL SOCIETY OF SUGARCANE TECHNOLOGISTS, 26., Durban, 2007. Proceedings. Durban: ISSCT, 2007. p.185-189.
38. SCARPARI, M.S. PREDPOL: um modelo de previsão da maturação da cana-de-açúcar visando planejamento otimizado. Piracicaba: USP/ESALQ, 2007. 120p. Tese (Doutorado).
39. SCARPARI, M.S.; BEAUCLAIR, E.G.F. Sugarcane maturity estimation through edaphic-climatic parameters. Scientia Agricola, v.61, p.486-491, 2004.
40. SINGELS, A.; BEZUIDENHOUT, C.N. A new method of simulating dry matter partitioning in the Canegro sugarcane model. Field Crops Research, v.78, p.151-164, 2002.
41. SINGELS, A.; DONALDSON, R.A.; SMIT, M.A. Improving biomass production and partitioning in sugarcane: theory and practice. Field Crops Research, v.92, p.291-303, 2005.
42. SPIEGEL, M.R. Estatística. São Paulo: McGraw-Hill, 1972. 580p.
43. THORNTHWAITE, C.W.; MATHER, J.R. The water balance. Centertown: Drexel Institute of Technology, 1955. 104p.
44. WILLMOTT, C.J. On the validation of model. Physical Geography, v.2, p.184-194, 1981.
45. WIT, C.T.; GOUDRIAAN, J. Simulation of ecological processes. Wageningen: The Netherlands Center for Agricultural Publishing and Documentation, 1974. 159p.