TY  - JOUR
AU  - Ernesto, Tiznado-Hernández Martín 
AU  - Moreno-Velázquez, Delia 
AU  - Ojeda-Contreras, Angel Javier 
AU  - Ochoa-Meza, Andrés 
PY  - 2013
TI  - Prediction of Days After Anthesis of Developing Tomato (Solanum lycopersicum) Fruit from Blossom-End Changes in Color
JF  - American Journal of Agricultural and Biological Sciences
VL  - 8
IS  - 3
DO  - 10.3844/ajabssp.2013.191.198
UR  - https://thescipub.com/abstract/ajabssp.2013.191.198
AB  - The development of mathematical models to predict the physiological status of a developing fruit can be a useful tool to reduce the variation in fruit response to postharvest treatments. The objective of this study was to develop a mathematical model to predict  Days After Anthesis (DAA) in tomato fruit from changes in the blossom end color. Around 160 tomato flowers from 40 plants of a tomato cultivar ‘Rutgers’ and the nearly isogenic line tomato ripening mutant rin were tagged after artificial pollination and allowed to fruit set. The quantification of color was done from 5 to 85 DAA every 5 days in the tomato fruit blossom-end of both ‘Rutgers’ and mutant rin using a a Minolta chroma meter CR-300 set in the L*, a* and b* color space.  The predictive model was developed using the stepwise procedure in forward selection with DAA as the response variable and all the possible combinations between the next group of regressor: L*, a* and b*, square L*, a* and b*, chroma and Hue angle calculated from measured a* and b* values. It was used the F statistic, mean square error, coefficient of determination, Mallows coefficient and distribution of residuals around zero as indicators of model prediction’s efficiency. Correlation coefficients between the different variables measured and the DAA were calculated. The reliability of the statistical analysis was tested by using the nearly isogenic line of ‘Rutgers’: The non-ripening mutant rin as a comparative control. It was concluded that the statistical procedure used is robust and sensitive enough to identify data not suitable for developing a good predictive model. Also, it is possible to predict the days after anthesis of a developing tomato fruit from changes in the blossom-end color with almost 80% of accuracy.