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dc.contributor.authorYanbiao Wang
dc.contributor.authorHaiyan Li
dc.contributor.authorYuanbo Jiang
dc.contributor.authorYaya Duan
dc.contributor.authorYi Ling
dc.contributor.authorMinhua Yin
dc.contributor.authorYanlin Ma
dc.contributor.authorYanxia Kang
dc.contributor.authorYayu Wang
dc.contributor.authorGuangping Qi
dc.contributor.authorGuoyun Shen
dc.contributor.authorBoda Li
dc.contributor.authorJinxi Chen
dc.contributor.authorHuile Lv
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.contributor.otherCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China
dc.date.accessioned2025-08-27T14:00:26Z
dc.date.accessioned2025-10-08T08:36:21Z
dc.date.available2025-10-08T08:36:21Z
dc.date.issued01-08-2025
dc.identifier.urihttp://digilib.fisipol.ugm.ac.id/repo/handle/15717717/36247
dc.description.abstractScientific nitrogen management is essential for maximizing crop growth potential while minimizing resource waste and environmental impacts. Alfalfa (<i>Medicago sativa</i> L.) is the most widely cultivated high-quality leguminous forage crop globally, and is capable of providing nitrogen through nitrogen fixation. However, there remains some disagreement regarding its nitrogen management strategies. This study conducted a three-year field experiment and calibrated the APSIM-Lucerne model. Based on the calibrated model, three typical precipitation year types (dry, normal, and wet years) were selected. Combining field experiments, eight nitrogen application scenarios (0, 80, 120, 140, 160, 180, 200, and 240 kg·ha<sup>−1</sup>) were set up. With the objectives of increasing alfalfa yield, nitrogen partial productivity, and nitrogen agronomic efficiency, this study investigates the appropriate nitrogen application thresholds for alfalfa under different precipitation year types. The results showed the following: (1) Alfalfa yield increased first and then decreased with the increase in nitrogen application level. The annual yield of the N160 treatment was the highest (13.39 t·ha<sup>−1</sup>), which was 5.15% to 32.39% higher than that of the other treatments. (2) The APSIM-Lucerne model could well reflect the growth process and yield of alfalfa under different precipitation year types. The <i>R</i><sup>2</sup> and NRMSE between the simulated and observed values of the former were 0.85–0.91 and 5.33–7.44%, respectively. The <i>R</i><sup>2</sup> and NRMSE between the simulated and measured values of the latter were 0.74–0.96 and 2.73–5.25%, respectively. (3) Under typical dry, normal, and wet years, the optimal nitrogen application rates for alfalfa yield increases were 120 kg·ha<sup>−1</sup>, 140 kg·ha<sup>−1</sup>, and 160 kg·ha<sup>−1</sup>, respectively. This study can provide a basis for precise nitrogen management of alfalfa under different precipitation year types.
dc.language.isoEN
dc.publisherMDPI AG
dc.subject.lccAgriculture (General)
dc.titleUsing APSIM Model to Optimize Nitrogen Application for Alfalfa Yield Under Different Precipitation Regimes
dc.typeArticle
dc.description.keywordsAPSIM-Lucerne model
dc.description.keywordsprecipitation year type
dc.description.keywordsnitrogen regulation
dc.description.keywordsyield
dc.description.keywordsnitrogen use efficiency
dc.description.keywordsalfalfa
dc.description.doi10.3390/agriculture15161789
dc.title.journalAgriculture
dc.identifier.e-issn2077-0472
dc.identifier.oaioai:doaj.org/journal:1db8dcf6cf0d4b4d92b5560f66aec5c7
dc.journal.infoVolume 15, Issue 16


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