scholarly journals Deficit irrigation and planting patterns strategies to improve maize yield and water productivity at different plant densities in semi-arid regions

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Qianmin Jia ◽  
Lefeng Sun ◽  
Shahzad Ali ◽  
Donghua Liu ◽  
Yan Zhang ◽  
...  
Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 639 ◽  
Author(s):  
Bright Freduah ◽  
Dilys MacCarthy ◽  
Myriam Adam ◽  
Mouhamed Ly ◽  
Alex Ruane ◽  
...  

Climate change is estimated to exacerbate existing challenges faced by smallholder farmers in Sub-Sahara Africa. However, limited studies quantify the extent of variation in climate change impact under these systems at the local scale. The Decision Support System for Agro-technological Transfer (DSSAT) was used to quantify variation in climate change impacts on maize yield under current agricultural practices in semi-arid regions of Senegal (Nioro du Rip) and Ghana (Navrongo and Tamale). Multi-benchmark climate models (Mid-Century, 2040–2069 for two Representative Concentration Pathways, RCP4.5 and RCP8.5), and multiple soil and management information from agronomic surveys were used as input for DSSAT. The average impact of climate scenarios on grain yield among farms ranged between −9% and −39% across sites. Substantial variation in climate response exists across farms in the same farming zone with relative standard deviations from 8% to 117% at Nioro du Rip, 13% to 64% in Navrongo and 9% to 37% in Tamale across climate models. Variations in fertilizer application, planting dates and soil types explained the variation in the impact among farms. This study provides insight into the complexities of the impact of climate scenarios on maize yield and the need for better representation of heterogeneous farming systems for optimized outcomes in adaptation and resilience planning in smallholder systems.


2021 ◽  
Vol 243 ◽  
pp. 106483 ◽  
Author(s):  
Yufeng Zou ◽  
Qaisar Saddique ◽  
Ajaz Ali ◽  
Jiatun Xu ◽  
Muhammad Imran Khan ◽  
...  

2021 ◽  
Vol 256 ◽  
pp. 107122
Author(s):  
Ahmed M.S. Kheir ◽  
Abdullah A. Alrajhi ◽  
Adel M. Ghoneim ◽  
Esmat F. Ali ◽  
Ali Magrashi ◽  
...  

2019 ◽  
Vol 157 (7-8) ◽  
pp. 578-591 ◽  
Author(s):  
F. Montoya ◽  
D. Camargo ◽  
J. I. Córcoles ◽  
A. Domínguez ◽  
J. F. Ortega

AbstractIn areas where water is scarce, the use of regulated deficit irrigation, combined with decision support system tools, may decrease the impact of agriculture on natural water resources, as well as on energy consumption, thereby improving the profitability of farms. With this aim, the SUBSTOR-Potato model (incorporated in the DSSAT Program) was evaluated with a 2-year field test (2011 and 2012) conducted in a semi-arid area (Albacete, Spain) applying four irrigation levels (120, 100, 80 and 60% of irrigation requirements). Subsequently, the model was used for simulating the potato yield under several deficit irrigation strategies (ISs) during 30 years of a semi-arid climate (1988–2017) and determining the most profitable option. The considered ISs were deemed those most suitable from the yield and water productivity point of view by some authors. The model performance for tuber yield was satisfactory with an index of agreement >0.91 and errors between 0.71 and 3.06 × 103 kg/ha. The ISs simulated with SUBSTOR-Potato showed that slight deficit irrigation (5–10%) may increase the water productivity and profitability of the farms. Moreover, tuber formation (from onset of tuber initiation to harvest) was shown to be the most sensitive stage, therefore it is highly recommended to avoid deficit during this stage, which would cause a large reduction in yield (around 8 t/ha, depending on the level of deficit suffered by the crop).


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