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61.
菜用睡莲营养成分及重金属含量测定与评价 总被引:2,自引:0,他引:2
对绿梗菜用睡莲(Nymphaea tetragona)及红梗菜用睡莲的15营养成分和4种重金属含量进行了测定与评价。结果表明,1与104~140种(品种)新鲜蔬菜已知数据比较,绿梗和红梗菜用睡莲均有较高含量的维生素C、钠及较低含量的干物质、蛋白质、钾、钙、镁、铜、锌、磷及硒;绿梗菜用睡莲有较高含量的粗纤维、锰及较低含量的铁,红梗菜用睡莲有较高含量的铁及较低含量的粗纤维。2菜用睡莲是一种含钠量较高的蔬菜。3绿梗菜用睡莲营养成分含量总体高于红梗菜用睡莲。4湖北产区菜用睡莲的铅、砷、镉及汞等重金属含量符合食品安全国家标准的规定。 相似文献
62.
为了实现快速高精度获取冬小麦氮营养指数的高光谱监测技术,利用美国SVC HR-1024I型野外光谱辐射仪对2017-2019年关中地区的冬小麦进行遥感监测,获取“三边”参数、任意两波段光谱指数和植被指数,通过相关性分析和逐步回归分析方法筛选冬小麦氮营养指数的敏感光谱参数,结合偏最小二乘回归(PLSR)、随机森林算法(RFR)、支持向量机回归(SVR)和梯度增强回归(GBDT)建立冬小麦氮营养指数模型,并对模型估算精度进行验证。结果表明,从拔节期到灌浆期,各时期的氮营养指数与任意两波段光谱指数均呈极显著相关,其中拔节期氮营养指数与任意两波段光谱指数相关性均高于其他时期,且基于一阶导数光谱的归一化光谱指数和比值光谱指数与氮营养指数的相关系数最大,为0.66。拔节期基于梯度增强回归的冬小麦氮营养指数预测模型的决定系数(r2)和均方根误差(RMSE)分别为0.96和0.05,模型验证的r2、RMSE和相对预测偏差(RPD)分别为0.95、0.12和2.12,模型预测精度最高。因此,拔节期基于梯度增强回归的冬小麦氮营养指数估算模型可用于冬小麦氮营养监测... 相似文献
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The material flow and bulk internal flow analyses were used to establish a material accumulation and cycling model for a low-quality forest stand improvement system and a series of processes were considered. The model was applied in a one-hectare low-quality forest plot in the Lesser Khingan Range of China. Results showed that during 1997–2007, the stands absorbed 270.19 kg of N, 74.28 kg of P, and 124.39 kg of K from soils, 51.82 kg of N and 2.38 kg of P were directly absorbed by foliage, and 16.25 kg of K was released to soils by eluviation. Until 2007, the accumulated nutrients in the stands included 236.91 kg of N, 65.28 kg of P, and 108.55 kg of K. When horizontal strip clearcutting was applied in 2007, 50% accumulated nutrients in the stands were shifted due to harvesting operations, and 212.74 kg of N, 26.97 kg of P, and 98.88 kg of K were accumulated in soils, declining by 9.47% for N, 3.68% for P, and 17.60% for K, respectively, compared with year 1997. 94.61 t per hectare of biomass was generated, of which the biomass in stands accounted for 87.36%. The felled tree biomass was 36.89 t per hectare, of which 84.90% and 10.03% of biomass were utilized in terms of logs and other means, and the rest was left on site. 相似文献
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66.
A range of agricultural practices influence soil microbial communities, such as tillage and organic C inputs, however such effects are largely unknown at the initial stage of soil formation. Using an eight-year field experiment established on exposed parent material (PM) of a Mollisol, our objectives were to: (1) to determine the effects of field management and soil depth on soil microbial community structure; (2) to elucidate shifts in microbial community structure in relation to PM, compared to an arable Mollisol (MO) without organic amendment; and (3) to identify the controlling factors of such changes in microbial community structure. The treatments included two no-tilled soils supporting perennial crops, and four tilled soils under the same cropping system, with or without chemical fertilization and crop residue amendment. Principal component (PC) analysis of phospholipid fatty acid (PLFA) profiles demonstrated that microbial community structures were affected by tillage and/or organic and inorganic inputs via PC1 and by land use and/or soil depth via PC2. All the field treatments were separated by PM into two groups via PC1, the tilled and the no-tilled soils, with the tilled soils more developed towards MO. The tilled soils were separated with respect to MO via PC1 associated with the differences in mineral fertilization and the quality of organic amendments, with the soils without organic amendment being more similar to MO. The separations via PC1 were principally driven by bacteria and associated with soil pH and soil C, N and P. The separations via PC2 were driven by fungi, actinomycetes and Gram (−) bacteria, and associated with soil bulk density. The separations via both PC1 and PC2 were associated with soil aggregate stability and exchangeable K, indicating the effects of weathering and soil aggregation. The results suggest that in spite of the importance of mineral fertilization and organic amendments, tillage and land-use type play a significant role in determining the nature of the development of associated soil microbial community structures at the initial stages of soil formation. 相似文献
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69.
防护条件下梭梭幼苗生长及养分吸收特性 总被引:1,自引:0,他引:1
以新疆古尔班通古特沙漠南缘管件防护与传统移栽2种方式移栽的梭梭幼苗为实验材料,通过野外监测与室内分析,探讨了管件防护条件下梭梭幼苗的生长及养分吸收特性。结果表明:整个生育期内,管件防护梭梭幼苗的各生长指标与传统移栽苗相比,增幅最大的为茎粗,其次为株高。年周期内管件防护梭梭幼苗的生物量呈递增趋势,单株生物量累积可达45.25 g·株~(-1);净增加27.10 g·株~(-1),是传统移栽苗的1.38倍(P0.05)。管件防护梭梭幼苗体内的氮素、磷素、钾素含量呈先升高后降低趋势,在同化枝生长期达到峰值,分别为11.376 g·kg~(-1)、1.066 g·kg~(-1)和23.340 g·kg~(-1),较传统移栽苗高24%、15%和8%,差异显著;而其梭梭幼苗氮素、磷素、钾素的总积累量却呈递增趋势,年净增积累量分别为0.297 g·株~(-1)、0.027 g·株~(-1)和0.560 g·株~(-1),是传统移栽苗的2.23倍、1.72倍和1.65倍;各时期梭梭幼苗体内的氮素、磷素、钾素含量及总积累量均高于传统移栽苗。 相似文献
70.
Our 1988 paper, describing the effects of cultivation on microbial biomass and activity in different aggregate size classes, brought together the ‘aggregate hierarchy theory’ and the ‘microbial biomass concept’. This enabled us to identify the relationships between microbial and microhabitat (aggregate) properties and organic matter distribution and explain some of their responses to disturbance. By combining biochemical and direct microscopy based quantification of microbial abundance with enzyme activities and process measurements, this study provided evidence for the role of microbial biomass (especially fungi) in macroaggregate dynamics and carbon and nutrient flush following cultivation. In the last ten years environmental genomic techniques have provided much new knowledge on bacterial composition in aggregate size fractions yet detailed information about other microbial groups (e.g. fungi, archaea and protozoa) is lacking.We now know that soil aggregates are dynamic entities – constantly changing with regard to their biological, chemical and physical properties and, in particular, their influences on plant nutrition and health. As a consequence, elucidation of the many mechanisms regulating soil C and nutrient dynamics demands a better understanding of the role of specific members of microbial communities and their metabolic capabilities as well as their location within the soil matrix (e.g. aggregates, pore spaces) and their reciprocal relationship with plant roots. In addition, the impacts of environment and soil type needs to be quantified at the microscale using, wherever possible, non-destructive ‘in situ’ techniques to predict and quantify the impacts of anthropogenic activities on soil microbial diversity and ecosystem level functions. 相似文献