Abstract
Research was conducted to determine the utility of a single, temperature-independent Weibull function for describing cumulative seed germination under several temperature regimes with 14 sets of weed and crop seed germination data. A modified cumulative Weibull function was derived to distribute germination times for individuals within the population and distributed the occurrence of germination given ample sample size and appropriate sample interval. The descriptive and predictive attributes of the stochastic model component are well suited for incorporation into seed germination models and are likely applicable to models to predict distribution of times for other developmental processes of plants.
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Claims 3
Claim · model-written summary
The modified Weibull function distributed individual germination times.
Not reportedComparatorValue
Verbatim
e0“A modified cumulative Weibull function was derived to distribute germination times for individuals within the population”
t0“Crop and Weed”
Claim · model-written summary
The function distributed germination occurrence with adequate sample size and intervals.
- Taxon
- Crop and Weedt0
- Outcome
- distributed the occurrence of germinatione0
- Qualifier
- ample sample size and appropriate sample intervale0
Not reportedComparatorValue
Verbatim
e0“distributed the occurrence of germination given ample sample size and appropriate sample interval”
t0“Crop and Weed”
Claim · model-written summary
The stochastic model component was judged suitable for seed germination models and possibly other plant development timing.
- Taxon
- plantsViridiplantaee0
- Outcome
- well suited for incorporation into seed germination modelse0
Verbatim
e0“The descriptive and predictive attributes of the stochastic model component are well suited for incorporation into seed germination models and are likely applicable to models to predict distribution of times for other developmental processes of plants”