scholarly journals Soil-water dynamics in flood irrigated orange orchard in central India: Integrated approach of sap flow measurements and HYDRUS 1D model

2020 ◽  
Author(s):  
Ashutosh Mishra ◽  
Paras Pujari ◽  
Shalini Dhyani ◽  
Parikshit Verma
2015 ◽  
pp. 1725-1730
Author(s):  
Simona Consoli ◽  
Alberto Continella ◽  
Antonio Motisi ◽  
Rita Papa ◽  
Luigi Pasotti

2010 ◽  
Vol 54 (2) ◽  
pp. 366-368 ◽  
Author(s):  
R. Bequet ◽  
J. Cermak ◽  
N. Nadezhdina ◽  
C. Canniere ◽  
R. Ceulemans

2021 ◽  
Vol 23 (1) ◽  
pp. 14-20
Author(s):  
ASHUTOSH KUMAR MISHRA ◽  
PARAS R. PUJARI ◽  
SHALINI DHYANI ◽  
PARIKSHIT VERMA ◽  
RAMESH JANIPELLA ◽  
...  

We used thermal dissipation method for sap flux measurements in orange trees to assess its water requirement in Narkhed-Pandhurna region. Thermal Dissipation Probe (TDP) sensors were installed in 5-year old (young) and 15-year old (mature) orange trees to measure the diurnal sap flux variations in trees during November 21, 2019, to January 31, 2020 (71 days). The results show that the maximum daily water uptake by the 5-year old tree was 1.1 L observed on 39th day of measurement (December 29, 2019) and in the 15-year old tree it was 5.0 L, and it observed on 38th day (December 28, 2019) of measurement. The cumulative water uptake during the study period by the 5-year old tree was 49.0 L, and the 15-year old tree consumed 257.4 L of water. The results were compared with the recommended irrigational values of Indian Horticulture Board (IHB), Government of India (GoI) and Groundwater Survey and Development Agency (GSDA), Government of Maharashtra (GoMH) for orange orchards. The initial investigation shows that recommended guidelines for irrigation of orange trees are exorbitantly high and needs to be revised. The sap flow methods are more precise that can measure sap flow at a very short interval and can generate a time series of data. It can be used to revise the guidelines with the aim to conserve water and propose precision water irrigation for the study area in particular and different agro-climatic zones of the country in general.


2012 ◽  
Vol 31 (5) ◽  
pp. 1053-1063 ◽  
Author(s):  
C. Ballester ◽  
J. Castel ◽  
L. Testi ◽  
D. S. Intrigliolo ◽  
J. R. Castel

2018 ◽  
Vol 66 (2) ◽  
pp. 232-245 ◽  
Author(s):  
Vakhtang Shelia ◽  
Jirka Šimůnek ◽  
Ken Boote ◽  
Gerrit Hoogenbooom

AbstractAccurate estimation of the soil water balance of the soil-plant-atmosphere system is key to determining the availability of water resources and their optimal management. Evapotranspiration and leaching are the main sinks of water from the system affecting soil water status and hence crop yield. The accuracy of soil water content and evapotranspiration simulations affects crop yield simulations as well. DSSAT is a suite of field-scale, process-based crop models to simulate crop growth and development. A “tipping bucket” water balance approach is currently used in DSSAT for soil hydrologic and water redistribution processes. By comparison, HYDRUS-1D is a hydrological model to simulate water flow in soils using numerical solutions of the Richards equation, but its approach to crop-related process modeling is rather limited. Both DSSAT and HYDRUS-1D have been widely used and tested in their separate areas of use. The objectives of our study were: (1) to couple HYDRUS-1D with DSSAT to simulate soil water dynamics, crop growth and yield, (2) to evaluate the coupled model using field experimental datasets distributed with DSSAT for different environments, and (3) to compare HYDRUS-1D simulations with those of the tipping bucket approach using the same datasets. Modularity in the software design of both DSSAT and HYDRUS-1D made it easy to couple the two models. The pairing provided the DSSAT interface an ability to use both the tipping bucket and HYDRUS-1D simulation approaches. The two approaches were evaluated in terms of their ability to estimate the soil water balance, especially soil water contents and evapotranspiration rates. Values of thedindex for volumetric water contents were 0.9 and 0.8 for the original and coupled models, respectively. Comparisons of simulations for the pod mass for four soybean and four peanut treatments showed relatively highdindex values for both models (0.94–0.99).


Author(s):  
Barbara Köstner ◽  
Eva Falge ◽  
Martina Alsheimer

2019 ◽  
Vol 279 ◽  
pp. 107735
Author(s):  
Yanting Hu ◽  
Tomer Duman ◽  
Dirk Vanderklein ◽  
Ping Zhao ◽  
Karina VR Schäfer

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