Abstract:Sugarcane (Saccharum spp.) grows in different weather and management conditions which directly affect crop maturation. These conditions lead to the necessity of quantifying crop response to different stimuli for planning purposes. Forecast models for the quality of raw material are important tools in sugarcane farming, especially the forecast curve of sucrose accumulation in shoots. The goal of these models is to supply yield estimates during the crop cycle, aiming to characterize alternatives and to increase … Show more
“…According to Robertson and Donaldson (1998), saccharose yield in plants under water stress occurs to dehydration levels of up to 10%. In accordance with Scarpari and Beauclair (2009) and Cardozo and Sentelhas (2013), it is not known yet the optimal level of water available in the soil at the maturity stage. This value would be the one that preserves the biomass already produced, favors the concentration of sugar in the plant and ensures continuity in saccharose synthesis.…”
AbstrAct:The need to irrigate sugarcane in the Brazilian Savanna is due to the lack of rain from April to September. For efficient sugar accumulation, the crop needs water stress or heat stress at the maturation stage. However, when the water deficit is intense at this stage, it occurs the reduction in crop production. The objective of this study was: (i) to assess the quality of the raw material of days before harvest, period in which the crop irrigation could be interrupted. The water deficit of 37.76 mm appears to be the critical limit of water shortage in the soil, from which the sugarcane yield starts to be reduced. The sugar concentration in the stalk was more influenced by low air temperatures than sugarcane yield.
“…According to Robertson and Donaldson (1998), saccharose yield in plants under water stress occurs to dehydration levels of up to 10%. In accordance with Scarpari and Beauclair (2009) and Cardozo and Sentelhas (2013), it is not known yet the optimal level of water available in the soil at the maturity stage. This value would be the one that preserves the biomass already produced, favors the concentration of sugar in the plant and ensures continuity in saccharose synthesis.…”
AbstrAct:The need to irrigate sugarcane in the Brazilian Savanna is due to the lack of rain from April to September. For efficient sugar accumulation, the crop needs water stress or heat stress at the maturation stage. However, when the water deficit is intense at this stage, it occurs the reduction in crop production. The objective of this study was: (i) to assess the quality of the raw material of days before harvest, period in which the crop irrigation could be interrupted. The water deficit of 37.76 mm appears to be the critical limit of water shortage in the soil, from which the sugarcane yield starts to be reduced. The sugar concentration in the stalk was more influenced by low air temperatures than sugarcane yield.
“…Em geral, esses modelos correlacionam os elementos ambientais com processos fisiológicos e com a produção das culturas, o que é possível em virtude da evolução do conhecimento dos processos fisiológicos vegetais e dos sistemas computacionais. A maioria dos modelos de crescimento considera a radiação solar como a variável principal de entrada (Keating et al, 1999;Liu & Bull, 2001;Scarpari & Beauclair, 2009), uma vez que esta variável é a fonte de energia para a fixação do CO 2 atmosférico. Porém apenas uma porcentagem da radiação solar é utilizada na fotossíntese, que corresponde à parte da energia da faixa do espectro solar entre os comprimentos de onda de 400 a 700 nanômetros (nm).…”
R ESU M OO crescimento da cana-de-açúcar pode ser obtido por modelos biofísicos em que a fotossíntese bruta (FB) é obtida em função da radiação solar. O objetivo do trabalho é avaliar variedades de canas-deaçúcar em regime irrigado em relação à radiação fotossinteticamente ativa interceptada (RFA INT ) e a estimativa da FB acumulada. Para isto, conduziu-se um estudo na Universidade Federal de Alagoas, entre 2008 e 2009, com variedades de cana RB. Foram realizadas medidas biométricas, variáveis de produção e dos elementos meteorológicos. A irradiância fotossintética (RFA) interceptada foi obtida pela diferença entre RFA e RFA transmitida (RFA T ). A RFA T foi determinada pela Lei de Beer. Na estimativa da FB diária usou-se uma integração numérica, com uma abordagem trapezoidal. As variáveis de produção tiveram correlações com a RFA INT acumulada e com a FB acumulada durante o ciclo. A média da irradiação solar global diária do período chuvoso da região (maio -agosto) foi igual a 14,9 MJ m -2. A variedade RB92579 teve os maiores variáveis de produção, como também maiores RFA interceptada e FB acumuladas no ciclo, devido à sua maior capacidade de rebrotação e conversão de energia em fotoassimilados.Palavras-chave: radiação fotossintética, modelos de crescimento, Saccharum spp.
Growth and photosynthesis of sugarcane based on biometric and meteorological variablesA B ST R A C T Sugarcane growth can be obtained by biophysical models in which gross photosynthesis (GP) is obtained as a function of solar radiation. This work aims to evaluate sugarcane varieties under irrigation in relation to intercepted photosynthetic active radiation (PARint) and the estimated accumulative GP. To achieve that, a study was conducted at the Federal University of Alagoas during 2008 and 2009, with RB sugarcane varieties. Biometric measurements, production variables and meteorological elements were made. The intercepted photosynthetic irradiance (PAR) was obtained by the difference between PAR and transmitted PAR (PAR T ), which was determined by Beer's Law. The daily GP was estimated numerically by the trapezoidal approach. The production variables had correlations with accumulated PARint and accumulated GP during the crop cycle. The average global solar radiation in the region for rainy season (May-August) was 14.9 MJ m -2 . The variety RB92579 had the highest production variables as well as higher intercepted PAR and accumulated GP in the cycle due to its greater capacity for regrowth and energy conversion in photoassimilate.
“…If there are too many error bars to show (e.g. Maciá-Vicente et al, 2009, Scarpari andBeauclair, 2009), a good idea might be to present them in grey (quite likely making the data points in black better visible), and in the case of overlap, to employ jittering. For symmetric error bars only a half of them can be presented, as Giacomini et al (2009) did for standard errors of the mean in line plots.…”
Data visualization is a very important aspect of data analysis and of presentation. Focusing on the latter, this paper discusses various elements of constructing graphs for publications. Bad and good graphs are compared, and a checklist with graphical elements to be used while creating graphs is proposed.
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