Evaluating water productivity of tomato, pepper and Swiss chard under clay pot and furrow irrigation technologies in semi-arid areas of northern Ethiopia

2018 ◽  
Vol 12 (1) ◽  
pp. 54 ◽  
Author(s):  
Amanuel A. Gebru ◽  
Alemiea Araya ◽  
Solomon Habtu ◽  
Tsegay Wolde Georgis ◽  
Daniel Teka ◽  
...  
2018 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Daniel Teka ◽  
Solomon Habtu ◽  
Tsegay Wolde Georgis ◽  
Amanuel A. Gebru ◽  
Lucieta Guerreiro Martorano ◽  
...  

2008 ◽  
Vol 52 (3) ◽  
pp. 291-315 ◽  
Author(s):  
Jan Nyssen ◽  
Jean Poesen ◽  
Katrien Descheemaeker ◽  
Nigussie Haregeweyn ◽  
Mitiku Haile ◽  
...  

Agriculture ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 97
Author(s):  
Feng Wang ◽  
Jun Xue ◽  
Ruizhi Xie ◽  
Bo Ming ◽  
Keru Wang ◽  
...  

Determining the water productivity of maize is of great significance for ensuring food security and coping with climate change. In 2018 and 2019, we conducted field trials in arid areas (Changji), semi-arid areas (Qitai) and semi-humid areas (Xinyuan). The hybrid XY335 was selected for the experiment, the planting density was 12.0 × 104 plants ha−1, and five irrigation amounts were set. The results showed that yield, biomass, and transpiration varied substantially and significantly between experimental sites, irrigation and years. Likewise, water use efficiency (WUE) for both biomass (WUEB) and yield (WUEY) were affected by these factors, including a significant interaction. Normalized water productivity (WP*) of maize increased significantly with an increase in irrigation. The WP* for film mulched drip irrigation maize was 37.81 g m−2 d−1; it was varied significantly between sites and irrigation or their interaction. We conclude that WP* differs from the conventional parameter for water productivity but is a useful parameter for assessing the attainable rate of film-mulched drip irrigation maize growth and yield in arid areas, semi-arid areas and semi-humid areas. The parametric AquaCrop model was not accurate in simulating soil water under film mulching. However, it was suitable for the prediction of canopy coverage (CC) for most irrigation treatments.


2020 ◽  
Vol 69 (5) ◽  
pp. 1082-1094
Author(s):  
Degol Fissahaye Yohannes ◽  
Coen J. Ritsema ◽  
Solomon Habtu ◽  
Jos C. Van Dam ◽  
Jochen Froebrich

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