Optimizing Irrigation and Fertilization Contributes to Mitigating Nutrients Leaching While Improving Crop Yield: Insights From a Field Experiment and Density Functional Theory Calculation

Abstract Nitrogen (N) and phosphorus (P) losses from farmland pose a significant threat to non-point source pollution in plateau lakes. Reducing nutrient loss from cropland is essential for the sustainable agricultural and ecological development of plateau lakes. The study aimed to investigate the effects of optimizing irrigation and fertilization on N and P losses based on field experiments and density functional theory calculation. The findings showed that ditch irrigation contributes to N and P leaching through their interactions with water and colloids, while drip irrigation reduces the transfer capacity for N and P by decreasing the intensity and volume of leachates. Additionally, changing from conventional fertilization to multiple fertilization based on the nutrient needs of corn significantly improved fertilizer efficiency, resulting in reductions in N and P losses of 25.2–72.4% and 24.2–67.6%, respectively. Additionally, the optimization of irrigation and fertilization led to an 11.3% improvement in crop yield. These results contribute to a better understanding of the mechanisms through which agricultural practices affect nutrient losses and have significant implications for optimizing farmland management in the Erhai Lake basin. Importantly, this research is of great significance in mitigating the threat of agricultural non-point source pollution in ecologically fragile plateau lakes.

Authors

Institutions

Publication Details

Journal
Sustainability & Circularity NOW
Published
2024-12-20
DOI
https://doi.org/10.1055/a-2419-6203
Primary Topic
Crop Yield and Soil Fertility
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Irrigation and Fertilization Contributes to Mitigating Nutrients Leaching While Improving Crop Yield: Insights From a Field Experiment and Density Functional Theory Calculation

Debo He, Bo Zhu, Yitian Zang, Tao Wang et al.
Sustainability & Circularity NOW
Crop Yield and Soil Fertility
article

Optimizing Irrigation and Fertilization Contributes to Mitigating Nutrients Leaching While Improving Crop Yield: Insights From a Field Experiment and Density Functional Theory Calculation

Debo He, Bo Zhu, Yitian Zang, Tao Wang, Yunfeng Wang
article en

Abstract

Abstract Nitrogen (N) and phosphorus (P) losses from farmland pose a significant threat to non-point source pollution in plateau lakes. Reducing nutrient loss from cropland is essential for the sustainable agricultural and ecological development of plateau lakes. The study aimed to investigate the effects of optimizing irrigation and fertilization on N and P losses based on field experiments and density functional theory calculation. The findings showed that ditch irrigation contributes to N and P leaching through their interactions with water and colloids, while drip irrigation reduces the transfer capacity for N and P by decreasing the intensity and volume of leachates. Additionally, changing from conventional fertilization to multiple fertilization based on the nutrient needs of corn significantly improved fertilizer efficiency, resulting in reductions in N and P losses of 25.2–72.4% and 24.2–67.6%, respectively. Additionally, the optimization of irrigation and fertilization led to an 11.3% improvement in crop yield. These results contribute to a better understanding of the mechanisms through which agricultural practices affect nutrient losses and have significant implications for optimizing farmland management in the Erhai Lake basin. Importantly, this research is of great significance in mitigating the threat of agricultural non-point source pollution in ecologically fragile plateau lakes.

Sustainability & Circularity NOWVol. 01(CP)
Chinese Academy of Sciences (CN), Institute of Mountain Hazards and Environment (CN), University of Chinese Academy of Sciences (CN), China Agricultural University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 67%
Crop Yield and Soil Fertility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.