Abstract
This study was carried out to make a simulation model for predicting the fruit yield of tomatoes in summer. Tomato seeds were sown monthly from February to September. Plants were grown hydroponically on a single-truss system in 0, 30, 55, and 83% shade. Total fruit yield per plant increased linearly with increasing integrated solar radiation from the first flower anthesis to the first fruit harvest. When all data from all crops were pooled, the regression line did not have as high a coefficient of determination (r2=0.73) as it did with the unpooled data. Most of the regression lines fitted to the data from each crop individually had higher coefficients of determination, except for lines plotted for the June and July crops. The slope (r2=0.929) and the x intercept (r2=0.860) of the regression lines, except for the June crop, were correlated with averaged air temperature during fruit development linearly and quadratically, respectively. From these results, the simulation model for predicting fruit yield from both integrated solar radiation and averaged air temperature was constructed. The model could be applied at 19 to 27°C of averaged air temperature. Standard error of cross-validation (SECV) of the data excluding the June crop was lower (92.1) in the model modified with air temperature, compared with the model with only integrated solar radiation (111.4).
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Claims 7
Claim · model-written summary
Fruit yield rose linearly with integrated radiation.
- Taxon
- Tomato
Solanum lycopersicumt0 - Treatment
- integrated solar radiatione0
- Outcome
- Total fruit yield per plante0
- Direction
- increasede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Total fruit yield per plant increased linearly with increasing integrated solar radiation from the first flower anthesis to the first fruit harvest.”
t0“Tomatoes”
Claim · model-written summary
Pooled regression fit was weaker than separate crop fits.
- Taxon
- TomatoSolanum lycopersicumt0
- Outcome
- coefficient of determinatione0
- Value
- r2=0.73e0
- Comparator
- unpooled datae0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“When all data from all crops were pooled, the regression line did not have as high a coefficient of determination (r2=0.73) as it did with the unpooled data.”
t0“Tomatoes”
Claim · model-written summary
Most crop-specific regressions had higher fit except June and July.
- Taxon
- TomatoSolanum lycopersicumt0
- Outcome
- coefficients of determinatione0
- Direction
- highere0
- Comparator
- June and July cropse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Most of the regression lines fitted to the data from each crop individually had higher coefficients of determination, except for lines plotted for the June and July crops.”
t0“Tomatoes”
Claim · model-written summary
Regression slopes correlated linearly with development temperature.
- Taxon
- TomatoSolanum lycopersicumt0
- Treatment
- averaged air temperaturee0
- Outcome
- slopee0
- Value
- r2=0.929e0
- Qualifier
- except for the June crope0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The slope (r2=0.929) and the x intercept (r2=0.860) of the regression lines, except for the June crop, were correlated with averaged air temperature during fruit development linearly and quadratically, respectively.”
t0“Tomatoes”
Claim · model-written summary
Regression x intercepts correlated quadratically with development temperature.
- Taxon
- TomatoSolanum lycopersicumt0
- Treatment
- averaged air temperaturee0
- Outcome
- x intercepte0
- Value
- r2=0.860e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The slope (r2=0.929) and the x intercept (r2=0.860) of the regression lines, except for the June crop, were correlated with averaged air temperature during fruit development linearly and quadratically, respectively.”
t0“Tomatoes”
Claim · model-written summary
The model applied across average temperatures of 19 to 27°C.
- Taxon
- TomatoSolanum lycopersicumt0
- Outcome
- model could be appliede0
- Value
- 19 to 27°Ce0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The model could be applied at 19 to 27°C of averaged air temperature.”
t0“Tomatoes”
Claim · model-written summary
Adding air temperature reduced cross-validation error versus radiation alone.
- Taxon
- TomatoSolanum lycopersicumt0
- Outcome
- Standard error of cross-validation (SECV)e0
- Direction
- lowere0
- Value
- 92.1e0
- Qualifier
- 111.4e0
- Comparator
- model with only integrated solar radiatione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Standard error of cross-validation (SECV) of the data excluding the June crop was lower (92.1) in the model modified with air temperature, compared with the model with only integrated solar radiation (111.4).”
t0“Tomatoes”