Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data

2021 ◽  
Vol 267 ◽  
pp. 112724
Author(s):  
Yao Zhang ◽  
Jian Hui ◽  
Qiming Qin ◽  
Yuanheng Sun ◽  
Tianyuan Zhang ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Chlorophyll Content ◽  
Transfer Learning ◽  
Hyperspectral Data ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll

scholarly journals Leaf Chlorophyll Content Estimation of Winter Wheat Based on Visible and Near-Infrared Sensors

Sensors ◽  
2016 ◽  
Vol 16 (4) ◽  
pp. 437 ◽  
Author(s):  
Jianfeng Zhang ◽  
Wenting Han ◽  
Lvwen Huang ◽  
Zhiyong Zhang ◽  
Yimian Ma ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Chlorophyll Content ◽  
Near Infrared ◽  
Infrared Sensors ◽  
Leaf Chlorophyll Content ◽  
Leaf Chlorophyll

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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