• Asian-Australasian Journal of Animal Sciences
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• v.19 no.3
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• pp.324-328
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• 2006

Carbonic anhydrase III (CA3) is a member of a multigene family that encode carbonic anhydrase isozymes. In this study, a complete coding sequence of the pig CA3 gene which encodes a 260 amino-acid protein was determined. The amino acid comparison showed high sequence similarities with previously identified human (86.5%) CA3 gene and mouse (91.5%) Car3 gene. The partial genomic DNA sequences were also investigated. The length of intron 1 was 727 bp. Comparative sequencing of three pig breeds revealed that there was a T${\rightarrow}$C substitution at position 363 within intron 1. The substitution was situated within a NcoI recognition site and was developed as a PCR-restriction fragment length polymorphism (RFLP) marker for further use in population variation investigations and association analysis. Two alleles (A and B) were identified, and 617 bp fragments were observed for the AA genotype and 236 bp and 381 bp fragments for the BB genotype. The polymorphism of CA3 was detected in 8 pig breeds. Allele B was predominant in the Western pig breeds. In addition, association studies of the CA3 polymorphism with carcass traits in 140 $Yorkshire{\times}Meishan$ $F_2$ offspring showed that the NcoI PCR- RFLP genotype may be associated with variation in several carcass traits of interest for pig breeding. Allele B was associated with increases in lean meat percentage, loin eye height and loin eye area. Statistically significant association with backfat thickness was also found; pigs with the AB genotype had much less backfat thickness than AA or BB genotypes.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.4
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• pp.156-163
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• 2015

In this paper, we propose an active water level and distance measurement algorithm using a light beam pattern. On behalf of conventional water level gauge types of pressure, float-well, ultrasonic, radar, and others, recently, extensive research for video analysis based water level measurement methods is gradually increasing as an importance of accurate measurement, monitoring convenience, and much more has been emphasized. By turning a reference light beam pattern on bridge or embankment actively, we suggest a new approach that analyzes and processes the projected light beam pattern image obtained from camera device, measures automatically water level and distance between a camera and a bridge or a levee. As contrasted with conventional methods that passively have to analyze captured video information for recognition of a watermark attached on a bridge or specific marker, we actively use the reference light beam pattern suited to the installed bridge environment. So, our method offers a robust water level measurement. The reasons are as follows. At first, our algorithm is effective against unfavorable visual field, pollution or damage of watermark, and so on, and in the next, this is possible to monitor in real-time the portable-based local situation by day and night. Furthermore, our method is not need additional floodlight. Tests are simulated under indoor environment conditions from distance measurement over 0.4-1.4m and height measurement over 13.5-32.5cm.