ArticleEnvironmental science and pollution research international2019
Optimizing irrigation and nitrogen requirements for maize through empirical modeling in semi-arid environment.
Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Impact of climate change on millet yield under different fertilization levels in three agroecological zones of Niger Republic.PloS one · 2025Article
- Effects of irrigation and nitrogen application on soil water and nitrogen distribution and water-nitrogen utilization of wolfberry in the Yellow River Irrigation Region of Gansu Province, China.Frontiers in plant science · 2023Article
- Climate change impact uncertainty assessment and adaptations for sustainable maize production using multi-crop and climate models.Environmental science and pollution research international · 2022Article
- Clogging investigation of pressure compensating button emitters: an experimental study of four types.Environmental science and pollution research international · 2020Article
- Climate change impacts and adaptations for fine, coarse, and hybrid rice using CERES-Rice.Environmental science and pollution research international · 2020Article
- Using crop modeling to evaluate the impacts of climate change on wheat in southeastern turkey.Environmental science and pollution research international · 2019Article
- Assessing climate change impacts on pearl millet under arid and semi-arid environments using CSM-CERES-Millet model.Environmental science and pollution research international · 2019Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Uncertainty in future availability of irrigation water and regulation of nutrient amount, management strategies for irrigation and nitrogen (N) are essential to maximize the crop productivity. To study the response of irrigation and N on water productivity and economic return of maize (Zea mays L.) grain yield, an experiment was conducted at Water Management Research Center, University of Agriculture Faisalabad, Pakistan in 2015 and 2016. Treatments included of full and three reduced levels of irrigation, with four rates of N fertilization. An empirical model was developed using observed grain yield for irrigation and N levels. Results from model and economic analysis showed that the N rates of 235, 229, 233, and 210 kg ha
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