Water use efficiency of castor bean under semi-arid conditions of Brazil

2022 ◽  
Vol 260 ◽  
pp. 107278
Author(s):  
Darley de Araújo Nascimento ◽  
Alexsandro dos Santos Brito ◽  
Luiz Mariano Neves da Silva ◽  
Leandro Santos Peixouto ◽  
Vanessa Fernandes Cotrim
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Castor Bean ◽  
Arid Conditions ◽  
Use Efficiency ◽  
Semi Arid

scholarly journals Irrigation productivity and water-use efficiency in papaya crop under semi-arid conditions

2016 ◽  
Vol 11 (42) ◽  
pp. 4181-4188
Author(s):  
de Oliveira Feitosa Erialdo ◽  
Flávio Batista Araújo Antonio ◽  
Maria Bayma Oliveira Calorine ◽  
Bezerra Lopes Fernando ◽  
Maia de Andradre Eunice
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Arid Conditions ◽  
Use Efficiency ◽  
Semi Arid

Water use efficiency of olive tree under two water treatments in Tunisian semi-arid conditions

2017 ◽  
Vol 10 (14) ◽  
Author(s):  
Mortadha Ben Hassine ◽  
Olfa Boussadia ◽  
Ahmed Ben Abdelkader ◽  
Ines Moula ◽  
Mariem El Hafi ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Olive Tree ◽  
Arid Conditions ◽  
Use Efficiency ◽  
Water Treatments ◽  
Semi Arid

scholarly journals Evaluating the climate change impact on water use efficiency of cotton-wheat in semi-arid conditions using DSSAT model

2019 ◽  
Vol 11 (4) ◽  
pp. 1661-1675 ◽  
Author(s):  
Muhammad Mubeen ◽  
Ashfaq Ahmad ◽  
Hafiz Mohkum Hammad ◽  
Muhammad Awais ◽  
Hafiz Umar Farid ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Dry Matter ◽  
Crop Yields ◽  
Co2 Concentration ◽  
Climatic Conditions ◽  
Arid Conditions ◽  
Dssat Model ◽  
Use Efficiency ◽  
Semi Arid

Abstract Water is the most important limiting factor of cotton (Gossypium hirsutum L.) and wheat (Triticum aestivum L.) cropping systems in semi-arid conditions of Southern Punjab. A two-year field experiment (comprising of cotton-wheat cropping) was conducted in Vehari (Southern Punjab) to calibrate and validate a DSSAT model in the climatic conditions of 1 × CO2 concentration (conc.) (current). The model simulation during calibration was good with errors up to 4.7, 4.4, 10.1, 6.4 and −5.4% for days to anthesis, days to maturity, total dry matter, yield and HI, respectively for the cotton-wheat cropping system. During model validation, the error percentages were also under reasonable limits. So, the model was run under 2 × CO2 conc. (future) conditions and it showed a difference of −7.3 to 19.7% anthesis days, maturity days, total dry matter, grain yield, crop ET and WUEGY with respect to current CO2 concentration. Simulation by DSSAT showed that the cotton cultivar MNH-886 and wheat cultivar Lassani-2008 were better utilizers of limited water resources under changed climatic conditions in semi-arid conditions of Vehari, which was due to their better water use efficiency. Wheat and cotton cultivars with high water use efficiency would enable crop growth to maintain high crop yields under increased CO2 and its associated consequences in future.

scholarly journals Spatial–Temporal Evolution Characteristics and Influencing Factors of Agricultural Water Use Efficiency in Northwest China—Based on a Super-DEA Model and a Spatial Panel Econometric Model

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 632
Author(s):  
Weinan Lu ◽  
Wenxin Liu ◽  
Mengyang Hou ◽  
Yuanjie Deng ◽  
Yue Deng ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Water Resource ◽  
Arid Regions ◽  
Econometric Model ◽  
Northwest China ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Use Efficiency ◽  
Semi Arid

Improving agricultural water use efficiency (AWUE) is an important way to solve the shortage of water resources in arid and semi-arid regions. This study used the Super-DEA (data envelopment analysis) to measure the AWUE of 52 cities in Northwest China from 2000 to 2018. Based on spatial and temporal perspectives, it applied Exploratory Spatial Data Analysis (ESDA) to explore the dynamic evolution and regional differences of AWUE. A spatial econometric model was then used to analyze the main factors that influence the AWUE in Northwest China. The results showed firstly that the overall AWUE in Northwest China from 2000 to 2018 presented a steady upward trend. However, only a few cities achieved effective agricultural water usage by 2018, and the differences among cities were obvious. Secondly, AWUE showed an obvious spatial autocorrelation in Northwest China and showed significant high–high and low–low agglomeration characteristics. Thirdly, economic growth, urbanization development, and effective irrigation have significant, positive effects on AWUE, while per capita water resource has a significant, negative influence. Finally, when improving the AWUE in arid and semi-arid regions, plans should be formulated according to local conditions. The results of this study can provide new ideas on the study of AWUE in arid and semi-arid regions and provide references for the formulation of regional agricultural water resource utilization policies as well.

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