Abstract
The objective of this study was to determine whether generalized logistic functions (Richards model with time shift) may be used to predict emergence of winter rapeseed (Brassica napus L.) after its seed treatment with plant extracts from Taraxacum officinale roots under controlled environment conditions. Emergence analyses were conducted for winter rape whose seeds were treated with a plant extract and for the non-treated seeds sown to the soil at the site of earlier point application of the extract. Curves were plotted for experimental data by minimizing the square sum of differences between the experimental data and the mathematical model. To evaluate model fit, the mean squared error was divided into four factors. Computing modelling efficiency coefficients were also introduced to enable complete analysis. Results of simulation research demonstrate that the determined parameters of curves (e.g. values of growth parameters, time shift or the upper limit of population) describing the number of seedlings in the function of time stayed compliant to the interpretation with regard to the biology of the analyzed processes. The proposed mathematical description based on generalized logistic functions showed extraordinary fit (r = 0.999) to the experimental data, which makes it highly useful in predictive control of rapeseed emergence. In addition, the study enabled concluding that plant extracts application to the soil allowed achieving a higher maximal emergence rate compared to the control sample. The application of the plant extracts increased the final population of rapeseed and significantly accelerated the occurrence of the maximal emergence rate.
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Claims 4
Claim · model-written summary
Plant extract applied to the soil gave a higher maximal emergence rate than the control.
- Taxon
- Brassica napus
_Brassica_napus_-_Habit.jpg?width=60)
Brassica napust0 - Treatment
- plant extracts application to the soile1
- Outcome
- maximal emergence ratee1
- Direction
- highere1
- Comparator
- control samplee1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_Brassica_napus_-_Habit.jpg?width=500)
Verbatim
t0“Brassica napus L.”
e1“plant extracts application to the soil allowed achieving a higher maximal emergence rate compared to the control sample”
Claim · model-written summary
The application of plant extracts increased the final population of rapeseed.
- Taxon
- Brassica napusBrassica napust0
- Treatment
- application of the plant extractse0
- Outcome
- final populatione0
- Direction
- increasede0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Brassica napus L.”
e0“The application of the plant extracts increased the final population of rapeseed and significantly accelerated the occurrence of the maximal emergence rate”
Claim · model-written summary
The application of plant extracts significantly accelerated the occurrence of the maximal emergence rate.
- Taxon
- Brassica napusBrassica napust0
- Treatment
- application of the plant extractse0
- Outcome
- occurrence of the maximal emergence ratee0
- Direction
- acceleratede0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Brassica napus L.”
e0“The application of the plant extracts increased the final population of rapeseed and significantly accelerated the occurrence of the maximal emergence rate”
Claim · model-written summary
The generalized logistic function fitted the experimental emergence data well.
- Taxon
- Brassica napusBrassica napust0
- Outcome
- extraordinary fite2
- Value
- r = 0.999e2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Brassica napus L.”
e2“The proposed mathematical description based on generalized logistic functions showed extraordinary fit (r = 0.999) to the experimental data”
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