Guopeng Zhou , Zhengbo Ma , Shang Han , Danna Chang , Jinxin Sun , Han Liu , Guodong Zhou , Qingxu Ma , Jia Liu , Ji Wu , David R. Chadwick , Davey L. Jones , Weidong Cao
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A field experiment was conducted including five treatments: winter fallow-rice (WF) and green manure-single rice rotation combined with 0, 5, 10, and 15 days of delayed flooding after green manure incorporation (GM, GM-WM5, GM-WM10, GM-WM15). Compared with WF, green manuring treatments enhanced rice productivity and SQI. Delayed flooding following green manure incorporation achieved CH<sub>4</sub> emission levels equal to or lower than those from WF, with emissions reduced by 37.7 %−76.1 % relative to GM. C Footprint and yield-scaled C Footprint lowered respectively from 43.9 t CO<sub>2</sub>-eq ha<sup>−1</sup> and 2.7 kg CO<sub>2</sub>-eq kg<sup>−1</sup> in GM to 9.8 −26.1 t CO<sub>2</sub>-eq ha<sup>−1</sup> and 0.6 −1.6 kg CO<sub>2</sub>-eq kg<sup>−1</sup> in delayed flooding managements, while NEEB increased by 1594 −2340 CNY ha<sup>−1</sup> compared with GM. CEI showed the trend of WF < GM < GM-WM15 < GM-WM5 < GM-WM10. In conclusion, delayed flooding practice, especially delayed by 10 days after incorporating green manure, achieved a triple-win scenario for soil quality, rice productivity, and environmental benefits compared with traditional water management practices.</div></div>","PeriodicalId":7512,"journal":{"name":"Agriculture, Ecosystems & Environment","volume":"383 ","pages":"Article 109507"},"PeriodicalIF":6.4000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Green manuring combined with optimal water management achieves a triple-win for paddy soil quality, rice productivity, and environmental benefits\",\"authors\":\"Guopeng Zhou , Zhengbo Ma , Shang Han , Danna Chang , Jinxin Sun , Han Liu , Guodong Zhou , Qingxu Ma , Jia Liu , Ji Wu , David R. Chadwick , Davey L. Jones , Weidong Cao\",\"doi\":\"10.1016/j.agee.2025.109507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Green manuring significantly increased rice yield and soil carbon (C) stocks, however, improper farming practices may result in elevated methane (CH<sub>4</sub>) emissions. This study investigated the effects of optimizing water management after green manure incorporation on soil quality index (SQI), rice productivity, C Footprint, net ecosystem economic budget (NEEB), and comprehensive evaluation index (CEI) over a 2-year period in a rice-green manure rotation system. A field experiment was conducted including five treatments: winter fallow-rice (WF) and green manure-single rice rotation combined with 0, 5, 10, and 15 days of delayed flooding after green manure incorporation (GM, GM-WM5, GM-WM10, GM-WM15). Compared with WF, green manuring treatments enhanced rice productivity and SQI. Delayed flooding following green manure incorporation achieved CH<sub>4</sub> emission levels equal to or lower than those from WF, with emissions reduced by 37.7 %−76.1 % relative to GM. C Footprint and yield-scaled C Footprint lowered respectively from 43.9 t CO<sub>2</sub>-eq ha<sup>−1</sup> and 2.7 kg CO<sub>2</sub>-eq kg<sup>−1</sup> in GM to 9.8 −26.1 t CO<sub>2</sub>-eq ha<sup>−1</sup> and 0.6 −1.6 kg CO<sub>2</sub>-eq kg<sup>−1</sup> in delayed flooding managements, while NEEB increased by 1594 −2340 CNY ha<sup>−1</sup> compared with GM. CEI showed the trend of WF < GM < GM-WM15 < GM-WM5 < GM-WM10. 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引用次数: 0
摘要
绿色施肥显著提高了水稻产量和土壤碳(C)储量,但不当的耕作方式可能导致甲烷(CH4)排放增加。研究了绿肥施用后优化水分管理对水稻-绿肥轮作2年土壤质量指数(SQI)、水稻生产力、碳足迹、净生态系统经济预算(NEEB)和综合评价指数(CEI)的影响。采用冬休稻(WF)和绿粪-单稻轮作,绿肥掺入(GM、GM- wm5、GM- wm10、GM- wm15)后延迟淹水0、5、10、15 d 5个处理进行田间试验。与WF相比,绿色施肥处理提高了水稻产量和SQI。绿肥延迟淹水后的CH4排放水平等于或低于WF,排放量相对于转基因减少了37.7% % - 76.1 %。碳足迹和产量比例碳足迹分别从转基因的43.9 t co2 -当量ha - 1和2.7 kg co2 -当量kg - 1降低到延迟淹水管理的9.8 −26.1 t co2 -当量ha - 1和0.6 −1.6 kg co2 -当量kg - 1。与GM相比,NEEB增加了1594 −2340 CNY ha−1。CEI呈现WF <; GM <; GM- wm15 <; GM- wm5 <; GM- wm10的趋势。总之,与传统的水管理做法相比,延迟淹水做法,特别是在施用绿肥后延迟10天,实现了土壤质量、水稻生产力和环境效益的三赢方案。
Green manuring combined with optimal water management achieves a triple-win for paddy soil quality, rice productivity, and environmental benefits
Green manuring significantly increased rice yield and soil carbon (C) stocks, however, improper farming practices may result in elevated methane (CH4) emissions. This study investigated the effects of optimizing water management after green manure incorporation on soil quality index (SQI), rice productivity, C Footprint, net ecosystem economic budget (NEEB), and comprehensive evaluation index (CEI) over a 2-year period in a rice-green manure rotation system. A field experiment was conducted including five treatments: winter fallow-rice (WF) and green manure-single rice rotation combined with 0, 5, 10, and 15 days of delayed flooding after green manure incorporation (GM, GM-WM5, GM-WM10, GM-WM15). Compared with WF, green manuring treatments enhanced rice productivity and SQI. Delayed flooding following green manure incorporation achieved CH4 emission levels equal to or lower than those from WF, with emissions reduced by 37.7 %−76.1 % relative to GM. C Footprint and yield-scaled C Footprint lowered respectively from 43.9 t CO2-eq ha−1 and 2.7 kg CO2-eq kg−1 in GM to 9.8 −26.1 t CO2-eq ha−1 and 0.6 −1.6 kg CO2-eq kg−1 in delayed flooding managements, while NEEB increased by 1594 −2340 CNY ha−1 compared with GM. CEI showed the trend of WF < GM < GM-WM15 < GM-WM5 < GM-WM10. In conclusion, delayed flooding practice, especially delayed by 10 days after incorporating green manure, achieved a triple-win scenario for soil quality, rice productivity, and environmental benefits compared with traditional water management practices.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.