curve smoothing
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2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sotaro Honda ◽  
Satoshi Ohkubo ◽  
Nan Su San ◽  
Anothai Nakkasame ◽  
Kazuki Tomisawa ◽  
...  

AbstractLeaf photosynthetic rate changes across the growing season as crop plants age. Most studies of leaf photosynthesis focus on a specific growth stage, leaving the question of which pattern of photosynthetic dynamics maximizes crop productivity unanswered. Here we obtained high-frequency data of canopy leaf CO2 assimilation rate (A) of two elite rice (Oryza sativa) cultivars and 76 inbred lines across the whole growing season. The integrated A value after heading was positively associated with crop growth rate (CGR) from heading to harvest, but that before heading was not. A curve-smoothing analysis of A after heading showed that accumulated A at > 80% of its maximum (A80) was positively correlated with CGR in analyses of all lines mixed and of lines grouped by genetic background, while the maximum A and accumulated A at ≤ 80% were less strongly correlated with CGR. We also found a genomic region (~ 12.2 Mb) that may enhance both A80 and aboveground biomass at harvest. We propose that maintaining a high A after heading, rather than having high maximum A, is a potential target for enhancing rice biomass accumulation.


2021 ◽  
Vol 11 ◽  
pp. 37-55
Author(s):  
Daniel Santana-Cedrés ◽  
Nelson Monzón ◽  
Luis Álvarez
Keyword(s):  

2021 ◽  
Vol 24 (4) ◽  
pp. 107-125
Author(s):  
K. S. Zakharov ◽  
A. I. Saveliev

Purpose or research. Development of an algorithm for smoothing the trajectory of a ground robot over rough terrain, represented as a graph in three-dimensional space. Methods. This article presents the CSA (Curve Smoothing and Averaging) algorithm for smoothing local curves in the Oxy plane that make up a global curve, represented as a path on a connected graph in 3D space. The presented algorithm is based on the previously developed LRLHD-A * approach, which uses information about the vertices of the graph, their neighbors and the edges connecting them to select the area through which the smoothed curve will run. In order to avoid a broken curve at the output of the algorithm, a curve averaging method was developed, the idea of which is to shift the midpoints of local curves along the edges on which they are located. Results. An experimental comparison was made of the curvature of the trajectories obtained using the curve smoothing algorithm with curve averaging (CSA) and without it (CS). The method was carried out on a threedimensional map of the area, presented in the form of a graph with 100082 vertices. For the experiments, a sample of 10 pairs of random vertices was used, between which a path was built using the LRLHD-A * algorithm. The results of the experiments have shown that averaging the curve after smoothing reduces its curvature from 24 to 42%. Conclusion. Trajectories smoothed using the developed CSA algorithm have smoother curve bends at turns, compared to the algorithm taken as a basis. This allows the robots to move more smoothly and, as a consequence, reduce the consumption of the robot's battery.


2020 ◽  
Author(s):  
Sotaro Honda ◽  
Satoshi Ohkubo ◽  
Nan San ◽  
Anothai Nakkasame ◽  
Kazuki Tomisawa ◽  
...  

Abstract Leaf photosynthetic rate changes across the growing season as crop plants age. Most studies of leaf photosynthesis focus on a specific growth stage, leaving the question of which pattern of photosynthetic dynamics maximizes crop productivity unanswered. Here we obtained high-frequency data of canopy leaf CO2 assimilation rate (A) of two elite rice (Oryza sativa) cultivars and 76 inbred lines across the whole growing season. The integrated A value after heading was closely associated with crop growth rate (CGR) from heading to harvest, but that before heading was not. A curve-smoothing analysis of A after heading showed that accumulated A at >80% of its maximum (A80) was closely correlated with CGR in analyses of all lines mixed and of lines grouped by genetic background, while the maximum A and accumulated A at ≤80% were less strongly correlated with CGR. We also found a genomic region that may enhance both A80 and aboveground biomass at harvest. We propose that maintaining a high A after heading, rather than having high maximum A, is a potential target for enhancing rice biomass accumulation.


2020 ◽  
Vol 32 ◽  
pp. 179-184
Author(s):  
Guang Yang ◽  
Tiefeng Wang ◽  
Peng Zhang

2019 ◽  
Vol 52 (24) ◽  
pp. 255-260 ◽  
Author(s):  
Haoyue Liu ◽  
Xuebo Zhang ◽  
Jian Wen ◽  
Runhua Wang ◽  
Xiang Chen
Keyword(s):  

2018 ◽  
Vol 19 (4) ◽  
pp. 304-314
Author(s):  
Yu-fei Wu ◽  
Liang He ◽  
Zhi-dong Li

2018 ◽  
Vol 6 (3) ◽  
pp. 540-554 ◽  
Author(s):  
Mingshen WANG ◽  
Yunfei MU ◽  
Tao JIANG ◽  
Hongjie JIA ◽  
Xue LI ◽  
...  

2018 ◽  
Vol 136 ◽  
pp. 479-488 ◽  
Author(s):  
Darina Kalinina ◽  
Varvara Ingilevich ◽  
Anastasiia Lantseva ◽  
Sergei Ivanov
Keyword(s):  

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