Data/hora: 08/06/2024 02:54:42

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 06/07/2020
Data da última atualização: | 08/07/2020
Autoria: | SILVA, F. C. da; BARBIERI, V.; DÍAZ-AMBRONA, C. G. H.; CASTRO, A. de.
Afiliação: | FABIO CESAR DA SILVA, CNPTIA, Fatec Piracicaba; VALTER BARBIERI, ESALQ/USP; CARLOS GREGORIO HERNÁNDEZ DÍAZ-AMBRONA, Universidad Politécnica de Madrid; ALEXANDRE DE CASTRO, CNPTIA.
Título: | Development of ecophysiological simulationmodelto estimate a potential productivity of sugar cane in Brazil and Australia.
Ano de publicação: | 2018
Fonte/Imprenta: | Revista Biociências, Taubaté, v. 24, n. 1, p. 1-16, 2018.
Idioma: | Inglês
Notas: | Título equivalente: Desenvolvimento de um modelo de simulação ecofisiológico para estimar a produtividade potencial da cana-de-açúcar no Brasil e na Autrália.
Conteúdo: | Abstract. A model of sugarcane was built to simulate the potential yield (without nutrition and water restrictions) for sustainability analysis of new expanded cultivation areas to ethanol or sugar production or climate change impact studies. The potential yield in terms of dry matter of sugarcane was adjusted to estimate the carbon dioxide absorption. As photosynthetic pathway C4 plant, in relation with air temperature and solar radiation to calculate a monthly production of dry matter (DM) was calculated during the crop cycle. The DM take in account gross photosynthetic rate subtracting loses by maintenance respiration, senescence of leafs, and tillers during the cycle. The BRCANE is a dynamic simulation model, it isbuild by mathematical equations which describe the physiological behaviour due to environment conditions averaging the thermal variables, model was calibrated which constants that they was obtained through adjusts of literature results and it was validated with experimental data. The simulated DM by the model was contrasted with data which obtained during the cycle from experimental irrigated field (cultivars RB72 454, NA 56-79, CB 41-76, CB 47-355, CP 51-22, Q138, and Q141), in the São Paulo State (Brazil) and in Bundaberg SES, Queensland (Australia). The results of total DM were modified in stalk tons per hectare (Mg ha-1) through linear equation for each cultivar, with regression coefficients higher than 0,89**(R2) and higher than those obtained by APSIM (R2 = 0.78*) and CANEGRO (R2 = 0.71*) models. The model showed consistent simulations for DM during the crop cycle, as well as on simulated yield.
Palavras-Chave: | Fisiologia de planta; Modelo BRCANE; Modelo ecofisiológico-matemático BrCane.
Thesagro: | Bioenergia; Biomassa; Cana de Açúcar; Ecologia.
Thesaurus Nal: | Bioenergy; Biomass; Ecology; Plant physiology; Sugarcane.
Categoria do assunto: | --
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/214391/1/AP-Development-ecophysiological-2018.pdf
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (20469-1) - UPC - AP - DD -  -  -  - DIS