木炭
肥料
农学
亚马逊河
土壤肥力
农林复合经营
环境科学
生物炭
作物轮作
土壤水分
期限(时间)
作物
土壤碳
绿肥
人类受精
营养物
有机质
磷
土壤质量
生育率
生物
生态学
亚马逊雨林
土壤科学
化学
物理
量子力学
有机化学
作者
Christoph Steiner,Wenceslau Geraldes Teixeira,Johannes Lehmann,Thomas Nehls,Jeferson Luis Vasconcelos de Macêdo,Winfried E. H. Blum,Wolfgang Zech
出处
期刊:Plant and Soil
[Springer Nature]
日期:2007-02-02
卷期号:291 (1-2): 275-290
被引量:1000
标识
DOI:10.1007/s11104-007-9193-9
摘要
Application of organic fertilizers and charcoal increase nutrient stocks in the rooting zone of crops, reduce nutrient leaching and thus improve crop production on acid and highly weathered tropical soils. In a field trial near Manaus (Brazil) 15 different amendment combinations based on equal amounts of carbon (C) applied through chicken manure (CM), compost, charcoal, and forest litter were tested during four cropping cycles with rice (Oryza sativa L.) and sorghum (Sorghum bicolor L.) in five replicates. CM amendments resulted in the highest (P < 0.05) cumulative crop yield (12.4 Mg ha−1) over four seasons. Most importantly, surface soil pH, phosphorus (P), calcium (Ca), and magnesium (Mg) were significantly enhanced by CM. A single compost application produced fourfold more grain yield (P < 0.05) than plots mineral fertilized in split applications. Charcoal significantly improved plant growth and doubled grain production if fertilized with NPK in comparison to the NPK-fertilizer without charcoal (P < 0.05). The higher yields caused a significantly greater nutrient export in charcoal-amended fields, but available nutrients did not decrease to the same extent as on just mineral fertilized plots. Exchangeable soil aluminum (Al) was further reduced if mineral fertilizer was applied with charcoal (from 4.7 to 0 mg kg−1). The resilience of soil organic matter (SOM) in charcoal amended plots (8 and 4% soil C loss, mineral fertilized or not fertilized, respectively) indicates the refractory nature of charcoal in comparison to SOM losses over 20 months in CM (27%), compost amended (27%), and control plots (25% loss).
科研通智能强力驱动
Strongly Powered by AbleSci AI