INVESTIGACIONES CIENTIFICAS SOBRE EL YACONYACON PDF

INVESTIGACIONES CIENTIFICAS SOBRE EL YACONYACON PDF

Artículos de investigación científica y tecnológica An orange pulp yacon was used as the starting material and Aloe Gold Seal-Natural X (AGS) was used. There are no reports concerning the potential of yacon roots to reduce oxidative Results: Yacon supplementation to diabetic rats produced a. Context: Smallanthus sonchifolius (Poepp. and Endl.) H. Robinson, Asteraceae ( yacon) roots are a natural product recognized by the traditional medicine to treat .

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The recent exploration of yacon demands scientific information for improving the crop production technology. Sixty-four representative yacon plants were randomly selected in an experimental field during the full vegetative growth. One thousand leaves of various sizes were taken from those plants for setting and validating a model.

The logarithmic model best fitted this purpose, the result of multiplying length by width being used as independent variable.

Para tal, 64 plantas representativas da cultura foram coletadas ao acaso, em um campo experimental em pleno crescimento vegetativo.

Since the world’s population is searching for healthy eating habits, the consumption of natural, hypo caloric and gluten-free foods has been increasing.

In this context, yacon or “diet potato” has attracted commercial interest in the world due to its promising effects on health and has been showing up in the market. The plant consumption has been noticed, significantly, since the mids.

Yacon has no specific growing technologies, because its commercial exploitation is recent. This is the main obstacle for its development. Information related to these technologies is rare in the phytotechnical area, only some notes taken by Vilhena et al.

This fact justifies that more studies are necessary wobre the growing and development of this species. Also considering that these studies will be extremely precious for the knowledge of adaptation and management of yacon in Brazil and worldwide. One of the essential morphologic variables which influence plant growth is the leaf area. This evaluation is indispensable for the evaluation of cultivation practices, such as plant density, fertilization, irrigation, pruning and pesticides application Favarin et al.

Journal of Obesity

The leaf area evaluation has been carried out directly through digital integrators and indirectly, through associative mathematical models Silva et al. Despite high precision, such integrators are costly and most of the times restrict to cienitficas laboratory destructive evaluation of plant material under study. On the other hand, the use of mathematical models which associate leaf area with measures of the leaf blade can be as accurate as the use of integrators and also can allow measurements, at low cost, during different phenological stages of the crop in the field Lima et al.

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However, the right choice of the models mentioned must go through a detailed statistical study in order to guarantee that the selected equation to estimate the leaf area is practical, simple and accurate Fialho et al. This study aimed to determine a regression equation which expresses, accurately, the functional relationship between the leaf area and the measurements of the yacon leaf blade. So, the need for this equation in the scientific literature was intended to be met.

The annual average temperature is The soil was submitted to chemical analysis, presenting the following characteristics in the cm layer: The seedlings were yaclnyacon 32 days after emergence. The experiment sorbe was carried out days after seedling transplanting, 64 yacon plants being collected, at investigacione in a representative way, which showed average of The authors excluded from this accounting and, therefore from this study, unopened leaves and the ones which were damaged, mechanically or by pests.

The length L in centimeters was measured along the midrib, from the base to the leaf apex, disregarding the petiole. The width W in centimeters was measured perpendicular to the midrib, obtained from one end to the other, where the highest value was considered, both measurements used centimeters cm as unity Figure 1. The statistical criteria to evaluate the best regression model were based on: In order to verify the adequacy study of the model chosen in the previous step, the authors, initially, adjusted to a new simple linear regression model without intercept LRMWIrelating to the leaf area values measured by the leaf area integrator in the observations LA obs with the predictives by the regression model adopted LA est.

The index of agreement between estimates of the model chosen and the values of leaf area observed was carried out using index d Willmott et al. The values found ranged from “zero” without agreement to “one” perfect agreement. From this perspective, the closer to the unit, the more accurate will be the model to estimate the leaf cientfiicas. The d value is calculated using the following equation:. For the nondestructive determination of yacon leaf area, several linear and nonlinear models were fitted between length Lwidth W and leaf area observed LA obs data not shown.

However, six linear models are presented, considering that these models best satisfied the pre-established statistics. Thus, the authors decided to compare these models, inveestigaciones among them the best one, statistically.

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The coefficient of determination adjusted for the degrees of freedom of the models tested were: Thus, the models which use the product LW to predict the yacon leaf area are more accurate higher R a 2 and lower SE.

On the other hand, Aquino et al. Also for sunflower, Maldaner et al. The authors highlight that values of standard error of estimates SE found in this study were lower than the ones observed by other authors when they used estimators of leaf area in leaf morphology similar to the yacon, for example, Silva et al.

Length C ; B: Thus, to be simpler and show only the product between the variables length – L and width – Wlower Investigxciones, higher R a 2significant parameters of regression investigaciiones a normal distribution pattern of residuals, the model chosen was: LA LWlogarithm Table 1having as estimator: On the other hand, Lima et al. In a similar way, for sunflower ep, power model was chosen for being the most accurate Maldaner et al.

All the criteria evaluated during the validation indicate that the model chosen show good adjustment cjentificas high reliability. Allometric models for non-destructive leaf area estimation in coffee Coffea arabica and C.

Annals of Applied Biology Estimation of leaf area for greenhouse cucumber by linear measurements under salinity and grafting. Acessado em 07 de agosto de Comparison of different models for nondestructive leaf area estimation in taro. Centro Internacional de La Papa. Allometric models for non-destructive leaf area estimation of Jatropha curcas.

Raiz tuberosa de yacon Smallanthus sonchifolius: Acessado em 18 de junho de Estimating the area of trifoliate and unequally imparipinnate leaves of strawberry.

O cultivo do yacon no Brasil. Statistics for the evaluation and comparisons of models.

Models for estimating yacon leaf area

Journal of Geophysical Research This is an open-access article distributed under the terms of the Creative Commons Attribution License. Services on Demand Journal. Smallanthus sonchifolius; leaf size; mathematical modeling.

April 27, ; Accepted: How to cite this article.