ABSTRACT The objective of the present study was to investigate the effect of single nucleotide polymorphism (SNP) of the melanocortin 1 receptor (MC1R) gene on plumage coloration in mule ducks. PCR-high-resolution melting analysis (PCR-HRM) and DNA sequencing were used to identify the SNP variability of the MC1R gene in white common ducks. Three non-synonymous SNP (MC1R gene exon 1, c.52G>A, c.376G>A, and c.409G>A) were identified in white Tsaiya ducks. Mating test (white Tsaiya ducks × white Muscovy drakes) in combination with polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was performed to investigate the effect of non-synonymous SNP of different maternal lines on plumage coloration in mule ducks. Genotyping results from 58 white Tsaiya ducks revealed the significant associations between genetic variations (c.52G>A, c.376A>G, and c.409G>A) and plumage color in two maternal populations. After genotyping of 266 mule ducks, these three non-synonymous SNP identified in white Tsaiya ducks were significantly associated with plumage color of mule ducks. Therefore, the polymorphisms of MC1R gene at c.52G>A, c.376A>G, and c.409G>A in white Tsaiya duck could be used in marker-assisted selection to improve the plumage color of mule ducks.

This paper presents an adaptive imaging technique run on a mobile service system for endoscopic image enhancement by using color transform and Gray Level Co-occurrence Matrices (GLCM) for a single input endoscopy image. The method is simply deal with the color image channels combination which chose the maximum scalar values of red, green and blue channel images, respectively. The GLCM subsequently applied for selecting the highest contrast and entropy images of the expanding image series. The enhanced endoscopy image is generated by fusing of the color, contrast and entropy images. We also proposed a service system with medical image retrieval application via quick response code authentication based on the Android operating system, which helps clinicians convenient in using mobile phone and reviewing images of the patient with cost efficiency. For the mobile technologies are growing rapidly, the mobile service system is installed to connect a Picture Archive and Communication Systems (PACS) system in hospital and applied for automatic evaluation of colon images screening. The experimental results show the proposed system is efficient for observing gastrointestinal tract polyp. The performance is evaluated and compared with Fujinon intelligent chromo endoscopy enhanced method.