Gaussian processes uncertainty estimates in experimental Sentinel-2 LAI and leaf chlorophyll content retrieval

2013 ◽  
Vol 86 ◽  
pp. 157-167 ◽  
Author(s):  
Jochem Verrelst ◽  
Juan Pablo Rivera ◽  
José Moreno ◽  
Gustavo Camps-Valls
Keyword(s):  
Chlorophyll Content ◽  
Gaussian Processes ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll ◽  
Content Retrieval ◽  
Uncertainty Estimates ◽  
Sentinel 2

scholarly journals Leaf chlorophyll content retrieval of wheat by simulated RapidEye, Sentinel-2 and EnMAP data

2019 ◽  
Vol 18 (6) ◽  
pp. 1230-1245
Author(s):  
Bei CUI ◽  
Qian-jun ZHAO ◽  
Wen-jiang HUANG ◽  
Xiao-yu SONG ◽  
Hui-chun YE ◽  
...  
Keyword(s):  
Chlorophyll Content ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll ◽  
Content Retrieval ◽  
Sentinel 2

scholarly journals Plant Leaf Chlorophyll Content Retrieval Based on a Field Imaging Spectroscopy System

Sensors ◽  
2014 ◽  
Vol 14 (10) ◽  
pp. 19910-19925 ◽  
Author(s):  
Bo Liu ◽  
Yue-Min Yue ◽  
Ru Li ◽  
Wen-Jing Shen ◽  
Ke-Lin Wang
Keyword(s):  
Chlorophyll Content ◽  
Imaging Spectroscopy ◽  
Plant Leaf ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll ◽  
Content Retrieval ◽  
Spectroscopy System ◽  
Field Imaging

scholarly journals RIL-StEp: epistasis analysis of rice recombinant inbred lines (RILs) reveals candidate interacting genes that control seed hull color and leaf chlorophyll content

2021 ◽  
Author(s):  
Toshiyuki Sakai ◽  
Akira Abe ◽  
Motoki Shimizu ◽  
Ryohei Terauchi
Keyword(s):  
Chlorophyll Content ◽  
Recombinant Inbred ◽  
Complex Traits ◽  
Genetic Architecture ◽  
Recombinant Inbred Lines ◽  
Inbred Lines ◽  
Gene Interactions ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll ◽  
Seed Hull

Abstract Characterizing epistatic gene interactions is fundamental for understanding the genetic architecture of complex traits. However, due to the large number of potential gene combinations, detecting epistatic gene interactions is computationally demanding. A simple, easy-to-perform method for sensitive detection of epistasis is required. Due to their homozygous nature, use of recombinant inbred lines (RILs) excludes the dominance effect of alleles and interactions involving heterozygous genotypes, thereby allowing detection of epistasis in a simple and interpretable model. Here, we present an approach called RIL-StEp (recombinant inbred lines stepwise epistasis detection) to detect epistasis using single nucleotide polymorphisms in the genome. We applied the method to reveal epistasis affecting rice (Oryza sativa) seed hull color and leaf chlorophyll content and successfully identified pairs of genomic regions that presumably control these phenotypes. This method has the potential to improve our understanding of the genetic architecture of various traits of crops and other organisms.

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