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Volume 07
Advances in Crop Science and Technology
ISSN: 2329-8863
Agri 2019
August 15-16, 2019
August 15-16, 2019 | Rome, Italy
14
th
International Conference on
Agriculture & Horticulture
Sheng Chen, Adv Crop Sci Tech 2019, Volume 07
Impact of shallow barrier isolation layer and vertical salinity difference on tomato water and salinity
production function
Sheng Chen
Hohai University, China
S
oil salinity is often heterogeneous, but plant response to uneven salt distributions in the vertical direction
(USDVD) of the root-zone under buried straw layer is seldom studied in tomato (Solanum lycopersicum L.var.
Yazhoufenwang). Our objective in this study was to evaluate the effects of USDVD under a buried straw layer on
tomato yield and production function. The treatments, T1:1, T1:5, T2:4 and T3:3, were established by setting the
upper soil layer with EC1:5. Under Blank model, Singh model, Jensen model and Rao model, the water distribution
factors in different growth stages of tomato were introduced to establish the production function of potted tomato.
The correlation analysis between the simulated yield and the measured yield of the test group was carried out by
using the function. The results showed that when the water consumption of upper and lower layers of tomato was
taken as the influencing factor, the Jensen model was used. The correlation coefficient R
2
between simulated and
measured yields is 0.9211. The AE, RMSE and Cv are the lowest, which are 0.008, 0.083 and 11.341% respectively.
While for salt production function. The correlation coefficient R
2
, AE, RMSE and Cv were calculated on the basis of
predicting yield and measured yield. Results showed that when the Jensen model was established by using vertical
salinity difference factor, the function had the best predictive effect on tomato yield, with R
2
, AE, RMSE and Cv
values of 0.8758, 0.005, 0.082 and 11.250%, respectively. Combined water and salt production function based on
Jensen model, The predicted tomato yield is fitted with the measured yield by using the function. The evaluation
indexes R
2
and AE, RMSE and Cv are 0.9507, 0.0007, 0.0495 and 6.8%, respectively. The simulation effect is further
improved on the basis of the separate water or salt production function.
Figure 1. Predicted yield of Tomato under leaching water