Bovine coat color is decided by the melanocortin receptor 1 (MC1R) genotype mutation and melanogenesis. Specially, in the various cattle breeds, dominant black coat color is expressed by dominant genotype of ED, red or brown is expressed in the frame shift mutation of recessive homozygous e by base pair deletion and wild type of E+ is expressed in various coat colors. However, not very well known about the effected of MC1R genotype mutation on the coat color through family lines in KBC. Therefore, this study were to investigate effect of MC1R genotype mutation on the coat color, and to suggest mating breed system in accordance with of MC1R genotype for increased on brindle coat color appearance. Parents (sire 2 heads and dam 3 heads) and offspring (total : 54 heads) from crossbreeding in KBC family line with the MC1R genotype and phenotype records were selected as experimental animals. The relationship between melanocortin 1 receptor (MC1R) genotypes expression verified by PCR-RFLP, and brindle coat color appearance to the family line of the cross mating breed from MC1R genotype pattern was determined. As a result, 4MC1R genetic variations, E+/E+ (sire 1), E+/e (sire 2 and dam 3), E+/e with 4 bands of 174, 207 and 328 bp (dam 1) and E+/e with 3 bands of 174, 207, 328 and 535 bp (dam 2) from parents (sire and dam) of KBC. However, 3 genetic variations, e/e (24%), E+/E+ (22%) and E+/e (56%) were identified in offspring. Also, brindle coat color expressrated was the e/e with the 0%, E+/E+ with 67% and E+/e with 77% from MC1R genotype in offspring on the cross mating of KBC. Furthermore, when the sire had E+/e genotype and the dam had E+/E+ with the 3 bands or E+/e genotype, and both had whole body-brindle coat color, 62% of the offspring had whole body-brindle coat color. Therefore, the seresults, the mating system from MC1R genotype patterns of the sires (E+/e) and dams (E+/E+ with the 3 bands or E+/e) with brindle coat color may have the highest whole body-brindle coat color expression in their offspring.

The present study was conducted to compare on embryo survival rates by blastomere isolation methods, and establish the optimal PCR procedure for perform the sexing of bovine blastocysts produced by IVF. IVF embryos used in the study was used the Bisected or Sliced methods for blastomere isolation, and the survival rates of blastocyst with rapid way of sexing PCR was assessed. In the present study for survival rates in blastocyst was the total cleavage rate was 75% and a blastocyst development among cleaved embryos was 40%. Survival rate of embryos treated with intact, bisected or sliced method was 100, 63.3 or 81.3%, respectively. Therefore, survival rate of embryos treated with sliced method was higher compared to that of embryos treated with bisected method. The sexing rate of female or male was not significantly different between S4BFBR primer and BSY + BSP primer (1.75 : 1 vs. 1.43 : 1), respectively. Because of the PCR amplification using the S4BFBR primer was simpler method than multiplex PCR amplification method. Furthermore, the accuracy of sexing rate and reduction of PCR work time between 2-step and 3-step of PCR methods was 98.0% / 1.5 hr and 97.0% / 3.5 hr, respectively. Based on these results, it can be suggested that the sliced and PCR methods we developed was very effective method to reduce time consuming and procedure of PCR amplification for sexing with the increase of survival rate on the blastocyst.

Rodents, specially rats, can recognize distance and shape of an object and also pattern of the textures by using their whiskers. Mechanoreceptors surrounding the root of whisker in their follicle measure deflection of the whisker. Rats can move their whisker back and forth freely. This ability, called active whisking or active sensing, is one of characteristics of rat behaviours. Many researches based on the mechanism have been progressed. In this paper, we test a simple and accurate method based on deflection of the whisker: we designed biomimetic whiskers modeling after a structure of follicle using the microphone. The microphone sensor measures a mechanical vibration. Attaching an artificial whisker beam to the microphone membrane, we can detect a vibration of whisker and this can show the deflection amount of whisker indirectly.