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Fertilization Status and Soil Nutrient Condition in Some Asparagus Production Regions of Zhejiang Province
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作者 Haimin KONG Yiding CHEN +2 位作者 Yugen JIANG Jianqiang LI Jianqing PAN 《Asian Agricultural Research》 2017年第12期47-51,共5页
Asparagus is delicious,with rich nutrition,and it is one of main economic crops in Zhejiang Province.In this paper,by investigating fertilization situations of farmers in several asparagus production regions(Fuyang,Pi... Asparagus is delicious,with rich nutrition,and it is one of main economic crops in Zhejiang Province.In this paper,by investigating fertilization situations of farmers in several asparagus production regions(Fuyang,Pinghu,Changxing and Cixi) and soil nutrient condition of asparagus garden with different plantation years,fertilization status and nutrient condition of asparagus garden were described,and fertilization suggestion was proposed,which aimed to guide scientific fertilization of asparagus and promote healthy development of industry. 展开更多
关键词 ASPARAGUS FERTILIZATION Soil nutrient
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Mapping of Total Carbon and Clay Contents in Glacial Till Soil Using On-the-Go Near-Infrared Reflectance Spectroscopy and Partial Least Squares Regression 被引量:2
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作者 SHEN Zhang-Quan SHAN Ying-Jie +1 位作者 PENG Li JIANG Yu-Gen 《Pedosphere》 SCIE CAS CSCD 2013年第3期305-311,共7页
Characterizing spatial variability of soil attributes, using traditional soil sampling and laboratory analysis, is cost prohibitive. The potential benefit of managing soils on a site-specific basis is well established... Characterizing spatial variability of soil attributes, using traditional soil sampling and laboratory analysis, is cost prohibitive. The potential benefit of managing soils on a site-specific basis is well established. High variations in glacial till soil render detailed soil mapping difficult with limited number of soil samples. To overcome this problem, this paper demonstrates the feasibility of soil carbon and clay mapping using the newly developed on-the-go near-infrared reflectance spectroscopy (NIRS). Compared with the geostatistics method, the partial least squares regression (PLSR), with NIRS measurements, could yield a more detailed map for both soil carbon and clay. Further, by using independent validation dataset, the accuracy of predicting could be improved significantly for soil clay content and only slightly for soil carbon content. Owing to the complexity of field conditions, more work on data processing and calibration modeling might be necessary for using on-the-go NIRS measurements. 展开更多
关键词 independent validation on-the-go measurement soil carbon mapping soil clay mapping soil sensors
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