scholarly journals Infrared Thermometry to Estimate Crop Water Stress Index and Water Use of Irrigated Maize in Northeastern Colorado

2012 ◽  
Vol 4 (11) ◽  
pp. 3619-3637 ◽  
Author(s):  
Saleh Taghvaeian ◽  
José Chávez ◽  
Neil Hansen
Keyword(s):  
Water Stress ◽  
Water Use ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Infrared Thermometry ◽  
Water Stress Index ◽  
Crop Water Stress

scholarly journals Determination of Crop Water Stress Index by Infrared Thermometry in Grapefruit Trees Irrigated with Saline Reclaimed Water Combined with Deficit Irrigation

2019 ◽  
Vol 11 (7) ◽  
pp. 757 ◽  
Author(s):  
Cristina Romero-Trigueros ◽  
José María Bayona Gambín ◽  
Pedro Antonio Nortes Tortosa ◽  
Juan José Alarcón Cabañero ◽  
Emilio Nicolás Nicolás
Keyword(s):  
Water Stress ◽  
Water Status ◽  
Reclaimed Water ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Infrared Thermometry ◽  
Water Stress Index ◽  
Thermal Indicators ◽  
Crop Water Stress

Water is not always accessible for agriculture due to its scarcity. In order to successfully develop irrigation strategies that optimize water productivity characterization of the plant, the water status is necessary. We assessed the suitability of thermal indicators by infrared thermometry (IRT) to determine the water status of grapefruit in a commercial orchard with long term irrigation using saline reclaimed water (RW) and regulated deficit irrigation (RDI) in Southeastern Spain. The results showed that Tc-Ta differences were positive in a wide range of vapor pressure deficits (VPD), and the major Tc-Ta were found at 10.00 GMT, before and after the highest daily values of VPD and solar radiation, respectively, were reached. In addition, we evaluated the relationships between Tc-Ta and VPD to establish the Non-Water Stressed Baselines (NWSBs), which are necessary to accurately calculate the crop water stress index (CWSI). Two important findings were found, which include i) the best significant correlations (p < 0.005) found at 10.00 GMT and their slopes were positive, and ii) NWSBs showed a marked hourly and seasonal variation. The hourly shift was mainly explained by the variation in solar radiation since both the NWSB-slope and the NWSB-intercept were significantly correlated with a zenith solar angle (θZ) (p < 0.005). The intercept was greater when θZ was close to 0 (at midday) and the slope displayed a marked hysteresis throughout the day, increasing in the morning and decreasing in the afternoon. The NWSBs determination, according to the season improved most of their correlation coefficients. In addition, the relationship significance of Tc-Ta versus VPD was higher in the period where the intercept and Tc-Ta were low. CWSI was the thermal indicator that showed the highest level of agreement with the stem water potential of the different treatments even though Tc and Tc-Ta were also significantly correlated. We highlight the suitability of thermal indicators measured by IRT to determine the water status of grapefruits under saline (RW) and water stress (RDI) conditions.

Crop water stress index for scheduling irrigation of Indian mustard ( Brassica juncea ) based on water use efficiency considerations

2019 ◽  
Vol 206 (1) ◽  
pp. 148-159 ◽  
Author(s):  
Navsal Kumar ◽  
Arunava Poddar ◽  
Vijay Shankar ◽  
Chandra Shekhar Prasad Ojha ◽  
Adebayo Johnson Adeloye
Keyword(s):  
Water Stress ◽  
Water Use ◽  
Indian Mustard ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Water Stress Index ◽  
Scheduling Irrigation ◽  
Use Efficiency ◽  
Crop Water Stress

scholarly journals Assessing a crop water stress index derived from aerial thermal imaging and infrared thermometry in super-high density olive orchards

2017 ◽  
Vol 187 ◽  
pp. 210-221 ◽  
Author(s):  
Gregorio Egea ◽  
Carmen M. Padilla-Díaz ◽  
Jorge Martinez-Guanter ◽  
José E. Fernández ◽  
Manuel Pérez-Ruiz
Keyword(s):  
Water Stress ◽  
Thermal Imaging ◽  
High Density ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Infrared Thermometry ◽  
Water Stress Index ◽  
Crop Water Stress

scholarly journals The Application of a Self-Organizing Model for the Estimation of Crop Water Stress Index (CWSI) in Soybean with Different Watering Levels

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3306
Author(s):  
Angela Anda ◽  
Brigitta Simon-Gáspár ◽  
Gábor Soós
Keyword(s):  
Water Stress ◽  
Water Use ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Growing Seasons ◽  
Water Stress Index ◽  
Wide Range ◽  
Crop Water Stress ◽  
Self Organizing

A field experiment was conducted with soybean to observe evapotranspiration (ET) and crop water stress index (CWSI) with three watering levels at Keszthely, Hungary, during the growing seasons 2017–2020. The three different watering levels were rainfed, unlimited, and water stress in flowering. Traditional and converted evapotranspirometers documented water stress levels in two soybean varieties (Sinara, Sigalia), with differing water demands. ET totals with no significant differences between varieties varied from 291.9 to 694.9 mm in dry, and from 205.5 to 615.6 mm in wet seasons. Theoretical CWSI, CWSIt was computed using the method of Jackson. One of the seasons, the wet 2020 had to be excluded from the CWSIt analysis because of uncertain canopy temperature, Tc data. Seasonal mean CWSIt and Tc were inversely related to water use efficiency. An unsupervised Kohonen self-organizing map (K-SOM) was developed to predict the CWSI, CWSIp based on easily accessible meteorological variables and Tc. In the prediction, the CWSIp of three watering levels and two varieties covered a wide range of index values. The results suggest that CWSIp modelling with the minimum amount of input data provided opportunity for reliable CWSIp predictions in every water treatment (R2 = 0.935–0.953; RMSE = 0.033–0.068 mm, MAE = 0.026–0.158, NSE = 0.336–0.901, SI = 0.095–0.182) that could be useful in water stress management of soybean. However, highly variable weather conditions in the mild continental climate of Hungary might limit the potential of CWSI application. The results in the study suggest that a less than 450 mm seasonal precipitation caused yield reduction. Therefore, a 100–160 mm additional water use could be recommended during the dry growing seasons of the country. The 150 year-long local meteorological data indicated that 6 growing seasons out of 10 are short of precipitation in rainfed soybean.

scholarly journals Production, Growth, and Nut Quality in Pecans under Water Stress Based on the Crop Water Stress Index

1993 ◽  
Vol 118 (6) ◽  
pp. 694-698 ◽  
Author(s):  
Donald J. Garrot ◽  
Michael W. Kilby ◽  
Delmar D. Fangmeier ◽  
Stephen H. Husman ◽  
Andrew E. Ralowicz
Keyword(s):  
Water Stress ◽  
Water Use ◽  
Tree Growth ◽  
Management Practices ◽  
Maximum Yield ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Water Stress Index ◽  
Crop Water Stress

The crop water stress index (CWSI), based on the relationship between the canopy temperature of a well-watered plant in full sunlight and the atmospheric water content, numerically quantifies water stress. A 4-year study was established to determine the long-term effect of water application levels on production, nut quality characteristics, and growth of pecans [Carya illinoinensis (Wangenh.) C. Koch cv. Western Schley]. Highest yields were attained when trees were relatively nonstressed (CWSI ≤ 0.08). Trees subjected to moderate water stress before irrigation (CWSI ≥ 0.20) showed reduced yield, nut weight, and tree growth, although water-use efficiency increased. With water management practices resulting in maximum yield, nut size, and tree growth (CWSI ≤ 0.08), tree water use varied up to 44% in the same orchard, depending on crop load and yearly climatic variations.

An insight to the performance of crop water stress index for olive trees

2013 ◽  
Vol 118 ◽  
pp. 79-86 ◽  
Author(s):  
N. Agam ◽  
Y. Cohen ◽  
J.A.J. Berni ◽  
V. Alchanatis ◽  
D. Kool ◽  
...  
Keyword(s):  
Water Stress ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Water Stress Index ◽  
Olive Trees ◽  
Crop Water Stress
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