Use of modeling to study the growth of the plant material 23 of Tithoniadiversifolia

摘要

A study was conducted under dry conditions for two years to describe, through different statistical criteria, the performance of some morphological components of the plant material 23 ofTithonia diversifolia and determine the models of best goodness of fit. The indicators were determined through the cut conducted every two weeks in the rainy and dry season. The experiment lasted 18 weeks during 2006 and 2007. The height of the tuft (cm) was measured, as well as the weight of 100 leaves, green matter(g) (weight 100 L GM), weight of the whole plant, green matter (g) (weight WP GM). and total weight of a linear meter (g) and green matter (total weight 1 m GM). The variables expressed in dry matter did not have proper goodness of fit in the models. Richards' model was not adequate for describing the performance of the variables. In the rainy season, the model of best fit was the linear for the tuft height and the total weight of 1 m, and the quadratic, for the weight of 100 leaves GM. The variables tuft height and total weight of 1 m reached the highest values at 18 weeks, with 174.98 cm and 4927.3 g, respectively. The maximum weight of 100 leaves GM was at 14 weeks, with 220.59 g. The weight of the whole plant weight kepi increasing even at 18 weeksand reached 109.70 g In the dry season, all the variables had significant fits for the exponential model, due to their low mean squares. The Gompertz model did not have numerical solution for the variables under analysis. The exponential dynamics showedslow performances during the first three weeks (4. 6 and 8) and increases from week 10 to 18. Since that time, they kept increasing, not reaching stable or maximum values. The total weight of I m GM reached more than 3000 g at 18 weeks and had considerable amount of leaves. It is concluded that the plant material 23 of Tithonia diversifolia reached the best growth characteristics during the rainy season up to week 14. while, in the dry season, its best growth was since week 10. This information allowsfurther research related to biomass production, cutting or grazing, because performance of different plant components can be known.