Abstract
Aim:
A study was conducted to develop a new approach of non-stress baseline and
evaluate different approach of determining non stress baseline for Crop Water
Stress Index (CWSI).
Methodology: To observe maximum and minimum canopy temperature,
two plots with three replications were maintained at fully stress (no
irrigation) and no stress (fully irrigated) conditions, respectively.
Portable weather station with data logger was installed at the middle of
field to record continuous data at half an hour interval. Gypsum block soil
moisture sensor were buried at 20 cm interval up to 100 cm and connected with
data logger. Infrared radiometer was used to measure canopy temperature. ???
Results:
The evaluation was based on five statistical indicators; correlation
coefficient (R2), root mean square error (RMSE), mean absolute error (MAE),
mean bias error (MBE) and Wilmot index of agreement (d). It was found that
new regression base line performed better than other existing approaches. The
calculated value of RMSE, MAE, MBE, d and R2 were 0.65, 0.51, 0.02, 0.79 and
0.83, respectively, for new baseline approach. ??
Interpretation: The newly developed multiple regression
equation (incorporating three weather parameters (Rn, VPD and u)
and two crop growth parameters (h and CC)) helped to reduce error in the
calculation of non-stress baseline for wheat crop in humid subtropical
climate. ?????
Key words: Canopy
temperature, Crop water stress index, Non-stress baseline, Wheat
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