Bibliographic Details
| Title: |
Assessing water-nitrogen use, crop growth and economic benefits for maize in upper Yellow River basin: Feasibility analysis for border and drip irrigation |
| Authors: |
Zhi Qi, Ya Gao, Chen Sun, Tiago B. Ramos, Danning Mu, Yihao Xun, Guanhua Huang, Xu Xu |
| Source: |
Agricultural Water Management, Vol 295, Iss , Pp 108771- (2024) |
| Publisher Information: |
Elsevier, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Agriculture (General) |
| Subject Terms: |
Hetao irrigation district, Water saving, Nutrient efficiency, Agroecosystem modeling, Financial analysis, Agriculture (General), S1-972, Agricultural industries, HD9000-9495 |
| More Details: |
Water-saving irrigation is becoming more important in the upper Yellow River basin (YRB) due to reduced water allocation and growing water scarcity. However, drip irrigation as an efficient irrigation method, has not gained as much acceptance as one might expect. In this study, integrated approaches involving field experiments, agro-ecosystem modeling, and financial analysis were proposed to evaluate the multiple benefits of two irrigation methods. Field experiments on maize irrigated with border irrigation and drip irrigation under plastic mulching (i.e., BI-M and DI-M) were conducted in the Hetao Irrigation District (Hetao) of the upper YRB during 2021 and 2022. The AHC model was calibrated and validated using two-year experimental data, performing well in simulations of soil water-salt-nitrogen (N) dynamics and crop growth. An irrigation scheduling module was newly incorporated into AHC. Then the model was applied to analyze scenarios consisting of three classes of groundwater depth (GWD) and five N application levels. Optimal irrigation and N-fertilization strategies were suggested; and DI-M showed significant advantages over BI-M in terms of water-saving (56–66 mm), labor-saving, environmental benefits (50 kg ha−1 less N fertilizer and 19–25 kg ha−1 less N loss), and crop yields ( |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1873-2283 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S0378377424001069; https://doaj.org/toc/1873-2283 |
| DOI: |
10.1016/j.agwat.2024.108771 |
| Access URL: |
https://doaj.org/article/e4a3c2854aba4583ab767b1879e02ee4 |
| Accession Number: |
edsdoj.4a3c2854aba4583ab767b1879e02ee4 |
| Database: |
Directory of Open Access Journals |
