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A Study on Phosphorus Use Efficiency of Wheat
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作者 Yuanyuan YUAN Kai GUO +2 位作者 Bei DONG rongting zhang Liwen SUN 《Asian Agricultural Research》 2016年第5期80-84,87,共6页
Wheat is one of the most important grain crops in China with great demand. It plays an important role to use phosphorus fertilizer for improving wheat yield. Therefore,application and foundation studies on wheat phosp... Wheat is one of the most important grain crops in China with great demand. It plays an important role to use phosphorus fertilizer for improving wheat yield. Therefore,application and foundation studies on wheat phosphorus use efficiency are so vital nowadays. Here,we have a simple review on definition of phosphorus use efficiency,response to phosphate starvation in plant,relevant genes cloning,impact factors,screening high phosphorus efficiency genotype and QTL analysis of phosphorus utilization efficiency in wheat. 展开更多
关键词 Wheat(Triticum AESTIVUM L) PHOSPHORUS use efficiency QTL(Quantitative TRAIT Locus)
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Grid graph-based large-scale point clouds registration
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作者 Yi Han Guangyun zhang rongting zhang 《International Journal of Digital Earth》 SCIE EI 2023年第1期2448-2466,共19页
Automatic registration of unordered point clouds is the prerequisite forurban reconstruction. However, most of the existing technologies stillsuffer from some limitations. On one hand, most of them are sensitive tonoi... Automatic registration of unordered point clouds is the prerequisite forurban reconstruction. However, most of the existing technologies stillsuffer from some limitations. On one hand, most of them are sensitive tonoise and repetitive structures, which makes them infeasible for theregistration of large-scale point clouds. On the other hand, most of themdealing with point clouds with limited overlaps and unpredictablelocation. All these problems make it difficult for registration technology toobtain qualified results in outdoor point cloud. To overcome theselimitations, this paper presents a grid graph-based point cloud registration(GGR) algorithm to align pairwise scans. First, point cloud is divided into aset of 3D grids. We propose a voting strategy to measure the similaritybetween two grids based on feature descriptor, transforming thesuperficial correspondence into 3D grid expression. Next, a graphmatching is proposed to capture the spatial consistency from putativecorrespondences, and graph matching hierarchically refines thecorresponding grids until obtaining point-to-point correspondences.Comprehensive experiments demonstrated that the proposed algorithmobtains good performance in terms of successful registration rate, rotationerror, translation error, and outperformed the state-of-the-art approaches. 展开更多
关键词 Point cloud alignment scan matching graph algorithms RECONSTRUCTION
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