Front Plant Sci
College of Water Conservancy and Hydropower Engineering, Gansu Agricultural University, Lanzhou, China.
Published: February 2025
Agricultural production frequently encounters challenges, including soil nitrogen pollution and imbalances resulting from improper irrigation and fertilization practices. This study focuses on wolfberry farmland, analyzing the effects of four irrigation levels [full irrigation (W0, 75%-85% θ), mild water deficit (W1, 65%-75% θ), moderate water deficit (W2, 55%-65% θ), and severe water deficit (W3, 45%-55% θ)] and four nitrogen application levels [no nitrogen application (N0, 0 kg·ha), low nitrogen application (N1, 150 kg·ha), medium nitrogen application (N2, 300 kg·ha), and high nitrogen application (N3, 450 kg·ha)] on nitrogen uptake by wolfberry plants, soil nitrogen loss, plant-soil nitrogen balance, and nitrogen use efficiency. The results indicate that: (1) Plant dry matter yield (1338.90-2893.52 kg·ha), fruit yield (1368.19-2623.09 kg·ha), plant nitrogen uptake (28.32-96.89 kg·ha) and fruit nitrogen uptake (23.53-63.56 kg·ha) all increased with higher irrigation and nitrogen application levels, following the trend W1 > W0 > W2 > W3 and N2 > N3 > N1 > N0. Compared with the other treatments, W1N2 treatment increased by 4.37%-116.11%, 6.36%-91.72%, 15.23%-242.16% and 10.86%-170.13%, respectively. (2) Soil NO -N content initially decreased, then increased, and ultimately decreased again with increasing soil depth, demonstrating inconsistent trends in response to changes in irrigation and nitrogen application. The highest residual soil NO -N at the end of the wolfberry growth period was recorded in the W0N3 treatment, measuring 186.17 kg·ha. In contrast, the lowest level was observed under the W3N0 treatment at 90.13 kg·ha, which was reduced by 12.25%-51.59% compared with other treatments. (3) The soil NO flux (28.50-433.41 ug·m·h) and total emissions (0.40-1.67 kg·ha) increased with increased irrigation and nitrogen application. (4) The W1N1 treatment showed the highest nitrogen productivity (14.29 kg·kg), absorption efficiency (0.85 kg·kg), and recovery efficiency (27.14%), outperformed other treatments by 0.64-10.94 kg·kg, 0.10-0.65 kg·kg, and 2.52-18.80%, respectively. Overall, a combination of 392.40 mm of irrigation and 150 kg·ha of nitrogen represented the optimal strategy for efficient and sustainable wolfberry production in the Yellow River irrigation districts of Gansu and similar regions.
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http://dx.doi.org/10.3389/fpls.2024.1498332 | DOI Listing |
Anal Chim Acta
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College of Pharmacy, Guangdong Pharmaceutical University, Guangzhou Higher Education Mega Center, Guangzhou, 510006, PR China.
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View Article and Find Full Text PDFPlant Sci
March 2025
State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China; North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China. Electronic address:
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March 2025
Faculty of Agriculture, Yamagata University, 1-23 Wakaba-machi, Tsuruoka, Yamagata 997-8555, Japan. Electronic address:
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March 2025
Department of Chemistry, Faculty of Science and Technology, Thammasat University, Pathumthani 12120, Thailand; Center of Excellence on Petrochemical and Materials Technology, Chulalongkorn University, Bangkok 10330, Thailand. Electronic address:
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Department of Military Health Statistics, Naval Medical University, Shanghai, China. Electronic address:
Background: Timely and accurate outcome prediction is essential for clinical decision-making for ischemic stroke patients in the intensive care unit (ICU). However, the interpretation and translation of predictive models into clinical applications are equally crucial. This study aims to develop an interpretable machine learning (IML) model that effectively predicts in-hospital mortality for ischemic stroke patients.
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