...
首页> 外文期刊>Soil Biology & Biochemistry >Physical, biochemical, and microbial controls on amino sugar accumulation in soils under long-term cover cropping and no-tillage farming
【24h】

Physical, biochemical, and microbial controls on amino sugar accumulation in soils under long-term cover cropping and no-tillage farming

机译:长期覆盖作物和耕作耕作下土壤中氨基糖积聚的物理,生化和微生物对照

获取原文
获取原文并翻译 | 示例
           

摘要

Understanding the processes controlling amino sugar accumulation in soil is essential for predicting the contribution of microbial residues to soil organic matter (SOM). The accumulation of amino sugars in soil is affected by multiple factors. Seldom are those factors examined together. We measured amino sugar concentration, extracellular enzyme activity, microbial respiration rate, and soil aggregate composition in an agricultural soil under 33-years of conservation management. The accumulation patterns of different amino sugars under the effects of no-tillage fanning and cover cropping were compared and contrasted. The relative importance of physical, biochemical, and microbial controls of amino sugar accumulation was quantified using structural equation modelling. Our results show that although different types of amino sugars exhibited similar accumulation patterns in soil, their stabilization mechanisms might vary as demonstrated by structural equation models. The structural equation models indicate that macroaggregates had the largest total effect (0.59, P 0.05) on muramic acid, and microbial respiration rate and wheat cover crops had large total effects (0.50 and -0.48 respectively, P 0.05) on glucosamine. These results suggest that physical protection of soil aggregates played a critical role in muramic acid stabilization in soil, while microbial activity and nutrient condition were more critical for glucosamine. We also observed 24%-35% of decreases in soil amino sugars when nitrogen (N) was scarce and carbon (C) was excessive, concomitant with increases of extracellular enzyme activities. These results may support the theoretical model of microbial N mining. Structural equation model indicates that beta-N-acetylglucosaminidase (NAG) had a negative effect on total amino sugars (0.41, P 0.05) and soil N had a negative effect on NAG (0.27, P 0.05). These results suggest that amino sugars can be decomposed by NAG as an alternative N source for microbes when readily available N was low. Leucine aminopeptidase (LAP) had a positive total effect on total amino sugars and a negative total effect on NAG (0.26 and -0.26 respectively, P 0.05). This indicates that decomposition of amino acids by LAP may be a preferred strategy prior to decomposition of amino sugars by NAG to meet N requisition.
机译:理解控制土壤中氨基糖积累的过程对于预测微生物残留对土壤有机物的贡献是必不可少的(SOM)必不可少的。土壤中氨基糖的积累受到多种因素的影响。很少是在一起检查的因素。在33年的保护管理下,我们测量了农业土壤中的氨基糖浓度,细胞外酶活性,微生物呼吸率和土壤骨料组合物。比较和对比,对扇动和覆盖作物的影响下不同氨基糖的累积模式进行了比较和对比。使用结构方程模型量化了氨基糖积累的物理,生化和微生物对照的相对重要性。我们的研究结果表明,虽然不同类型的氨基糖在土壤中表现出类似的积累模式,但它们的稳定机制可能随着结构方程模型所证明的。结构方程模型表明,葡萄糖胺的微生物呼吸速率和小麦覆盖作物具有大的总效果(0.59,p <0.05),微生物呼吸率和小麦覆盖作物在葡萄糖胺上具有大的总效果(分别为0.50和-0.48) 。这些结果表明,土壤聚集体的物理保护在土壤中的蛋白酸稳定化中发挥着关键作用,而微生物活性和营养状况对葡萄糖胺更为关键。当氮气(n)稀缺时,我们还观察到土壤氨基糖减少24%-35%的降低,并且碳(c)过度过度,伴随着细胞外酶活性的增加。这些结果可以支持微生物N采矿的理论模型。结构方程模型表明β-乙酰戊氰胺酶(NAG)对总氨基糖(0.41,P <0.05)的负面影响,土壤N对NAG产生负面影响(0.27,P <0.05)。这些结果表明,氨基糖可以通过NAG作为微生物的替代N源分解,当易于获得N低时。亮氨酸氨基肽酶(LAP)对总氨基糖的阳性总效果和对nag的负总影响(分别为0.26和-0.26,P <0.05)。这表明通过NAG分解氨基糖的氨基酸的分解可以是优选的策略,以满足n征收。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号