Division of Agriculture & Environmental Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire, LE12 5RD, UK.
Department of Sustainable Agriculture Science, Rothamsted Research, West Common, Harpenden, AL5 2JQ, UK.
Sci Rep. 2019 May 16;9(1):7473. doi: 10.1038/s41598-019-43937-6.
Cover crops (plants grown in an agricultural rotation between cash crops) can significantly improve soil quality via sequestering carbon, retaining nutrients, decreasing soil erosion, and maintaining belowground biodiversity. However, little is known about the effects of such plants upon soil structure. The aim of the study was to assess the impact of four species typically used as cover crops and which have contrasting root architecture (viz. clover, black oat, phacelia, tillage radish) on soil structural genesis and the associated modification of microbial community structure in a clay soil. The four plant species were grown in a replicated pot experiment with sieved soil (<2 mm), with unplanted soil as control for 8 weeks. X-ray Computed Tomography was used to quantify the formation of pore networks in 3D and phospholipid fatty acid analysis was performed to characterise the microbial community phenotype. Black oats developed a greater soil-pore connectivity than the other species throughout the growth period, whereas phacelia decreased both the porosity and pore-connectivity. The microbial community phenotype under phacelia was notably different from the other species, with a greater proportion of fungal markers. Thus, different plant species have differential effects upon soil structural genesis and microbial community phenotype, which provides evidence that certain species may be more suitable as cover crops in terms of soil structural conditioning depending upon specific contexts.
覆盖作物(在经济作物轮作中种植的植物)可以通过固碳、保留养分、减少土壤侵蚀和维持地下生物多样性来显著改善土壤质量。然而,人们对这些植物对土壤结构的影响知之甚少。本研究的目的是评估四种通常用作覆盖作物的物种(三叶草、黑燕麦、琉璃苣、耕萝卜)对土壤结构发生的影响,以及它们对粘土中微生物群落结构的相关改变。这四种植物在一个重复的盆栽实验中种植在筛过的土壤(<2 毫米)中,未种植土壤作为对照,实验持续 8 周。X 射线计算机断层扫描用于定量分析 3D 中孔隙网络的形成,并用磷脂脂肪酸分析来描述微生物群落的表型。在整个生长期间,黑燕麦比其他物种形成了更大的土壤孔隙连通性,而琉璃苣则降低了孔隙度和孔隙连通性。在琉璃苣下的微生物群落表型明显不同于其他物种,真菌标志物的比例更大。因此,不同的植物物种对土壤结构发生和微生物群落表型有不同的影响,这表明某些物种在特定情况下可能更适合作为覆盖作物,从而改善土壤结构。