Estimation of leaf chlorophyll content of rice using image color analysis

2013 ◽  
Vol 39 (2) ◽  
pp. 185-190 ◽  
Author(s):  
Hao Hu ◽  
Jizong Zhang ◽  
Xiangyang Sun ◽  
Xiaoming Zhang
HortScience ◽  
2000 ◽  
Vol 35 (3) ◽  
pp. 410D-410 ◽  
Author(s):  
Sang Yong Nam

Leaf lettuce is a major and widely cultivated vegetable crop. Leaf lettuce is preferred for wrapping food, like rice or meat, and is much more popular than head lettuce in Korea. Color change and water loss condition are most important factor for buying decision as external quality. This paper studied color change during storage at 20 and 4 °C, 60% RH. The color analysis of adaxial surface of leaf lettuce during shelf-life storage condition showed that Hunter L and a value increased slightly after 5 days of harvest, while delta-Eab started increasing after 3 days of postharvest. Chlorophyll content decreased by half during the first 5 days after harvest. These color changes, however, could not explain the changes in leaf chlorophyll content while the color intensity of G (green) component in RGB analysis showed a close relationship with leaf chlorophyll content changes. Visual quality score showed that lettuce may kept its marketability up to 5 days after harvest. But, in refrigerator (4°C, 60% RH, cold chain system) storage condition. Leaf color is about three times longer than shelf-life. Theses results of each evaluation methods consistently demonstrated that leaf lettuce may keep its marketability up to 5 days in a distribution market without color quality damage.


Author(s):  
Toshiyuki Sakai ◽  
Akira Abe ◽  
Motoki Shimizu ◽  
Ryohei Terauchi

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.


1990 ◽  
Vol 117 (2) ◽  
pp. 167 ◽  
Author(s):  
Amrita G. de Soyza ◽  
Dwight T. Kincaid ◽  
Carlos R. Ramirez

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