Canopy spectral reflectance for crop water stress assessment in wheat ( Triticum aestivum, L.)*

2020 ◽  
Author(s):  
Narendra Singh Chandel ◽  
Yogesh Anand Rajwade ◽  
Kamlesh Golhani ◽  
Prem Shankar Tiwari ◽  
Kumkum Dubey ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Water Stress ◽  
Spectral Reflectance ◽  
Triticum Aestivum L ◽  
Crop Water ◽  
Stress Assessment ◽  
Canopy Spectral Reflectance ◽  
Crop Water Stress

scholarly journals Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5705
Author(s):  
Kelvin Edom Alordzinu ◽  
Jiuhao Li ◽  
Yubin Lan ◽  
Sadick Amoakohene Appiah ◽  
Alaa AL AL Aasmi ◽  
...  
Keyword(s):  
Water Stress ◽  
Spectral Reflectance ◽  
Growth Stage ◽  
Sandy Loam ◽  
Soil Types ◽  
Crop Water ◽  
Silty Loam ◽  
Tomato Growth ◽  
Reflectance Indices ◽  
Crop Water Stress

Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at R2 above 0.95 p < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at R2 = 0.9758 and 0.9816 p < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI570), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI1640, PRI570, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at R2 above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types.

scholarly journals Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1117
Author(s):  
Anatoly Mikhailovich Zeyliger ◽  
Olga Sergeevna Ermolaeva
Keyword(s):  
Remote Sensing ◽  
Water Stress ◽  
Crop Yield ◽  
Satellite Monitoring ◽  
Agricultural Crop ◽  
Crop Water ◽  
Stress Regime ◽  
Irrigation Water Use ◽  
Crop Water Stress ◽  
Crop Irrigation

In the past few decades, combinations of remote sensing technologies with ground-based methods have become available for use at the level of irrigated fields. These approaches allow an evaluation of crop water stress dynamics and irrigation water use efficiency. In this study, remotely sensed and ground-based data were used to develop a method of crop water stress assessment and analysis. Input datasets of this method were based on the results of ground-based and satellite monitoring in 2012. Required datasets were collected for 19 irrigated alfalfa crops in the second year of growth at three study sites located in Saratovskoe Zavolzhie (Saratov Oblast, Russia). Collected datasets were applied to calculate the dynamics of daily crop water stress coefficients for all studied crops, thereby characterizing the efficiency of crop irrigation. Accordingly, data on the crop yield of three harvests were used. An analysis of the results revealed a linear relationship between the crop yield of three cuts and the average value of the water stress coefficient. Further application of this method may be directed toward analyzing the effectiveness of irrigation practices and the operational management of agricultural crop irrigation.

Nutritional imbalance in wheat (Triticum aestivum L.) genotypes grown at soil water stress

1998 ◽  
Vol 20 (3) ◽  
pp. 307-311 ◽  
Author(s):  
M. Yasin Ashraf ◽  
S. A. Ala ◽  
A. Saeed Bhatti
Keyword(s):  
Triticum Aestivum ◽  
Water Stress ◽  
Soil Water ◽  
Triticum Aestivum L ◽  
Soil Water Stress ◽  
Nutritional Imbalance

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

Comparative analysis of water stress-responsive transcriptomes in drought-susceptible and -tolerant wheat (Triticum aestivum L.)

2012 ◽  
Vol 55 (5) ◽  
pp. 349-360 ◽  
Author(s):  
Yong Chun Li ◽  
Fan Rong Meng ◽  
Chun Yan Zhang ◽  
Ning Zhang ◽  
Ming Shan Sun ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Comparative Analysis ◽  
Water Stress ◽  
Triticum Aestivum L

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

Interactive effect of water stress and nitrogen on plant height and root length of wheat (Triticum aestivum L.)

2000 ◽  
Vol 3 (12) ◽  
pp. 2051-2052 ◽  
Author(s):  
Abdul Ghani . ◽  
Abid Nisar Ahmad . ◽  
Anwar-ul-Hassan . ◽  
M. Iqbal . ◽  
G. Yasin . ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Water Stress ◽  
Plant Height ◽  
Root Length ◽  
Interactive Effect ◽  
Triticum Aestivum L ◽  
Effect Of Water

Interactive Effect of Water Stress and Nitrogen on Yield and Biomass of Wheat (Triticum aestivum L.)

1999 ◽  
Vol 2 (3) ◽  
pp. 840-842
Author(s):  
Abdul Ghani . ◽  
Abid Nisar Ahmad . ◽  
Akbar Ali Meo .
Keyword(s):  
Triticum Aestivum ◽  
Water Stress ◽  
Interactive Effect ◽  
Triticum Aestivum L ◽  
Effect Of Water
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