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잔디종자의 물리적 전처리가 캘러스 형성과 식물체 재분화에 미치는 효과
안나영,김용구,라하만 아티쿨,배은지,최수민,이광수,이병현,Ahn, Na-Young,Kim, Yong-Goo,Rahman, Md. Atikur,Bae, Eun Ji,Choi, Su Min,Lee, Kwang Soo,Lee, Byung-Hyun 한국초지조사료학회 2015 한국초지조사료학회지 Vol.35 No.4
잔디에 있어서 낮은 형질전환 효율의 직접적인 원인 중에 하나인 낮은 캘러스 유도율과 식물체 재분화율을 개선시키기 위하여 잔디 완숙종자의 전처리의 효과를 비교해 보았다. 살균한 잔디종자에 swelling 처리를 10분간 실시한 후, sea sand를 이용 하여 sea sand와 종자의 비율을 1:1로 한 다음, shaking 처리는 vortex speed 6 (1,000 rpm)에서 처리시간은 10분간 전처리를 실시하였을 때 무처리구에 비해 2배 이상의 배양 효율을 나타내었다. 또한 sea sand로 전처리한 잔디종자로부터 형성된 캘러스를 식물체 재분화 유도배지에 치상했을 그 효율이 훨씬 더 증가하는 것을 확인할 수 있었다. 이러한 결과는 연중 아무 때나 이용할 수 있는 장점을 지닌 잔디 완숙종자로부터 유도시킨 캘러스 세포를 이용하여 Agrobacterium으로 형질전환하는데 있어서 그 효율을 향상 시키는데 큰 기여를 할 것으로 추측된다. In order to improve the transformation efficiency of zoysiagrass by increasing the frequency of callus formation from mature seeds and plant regeneration, the effect of pre-treatment with sea sand was examined. Mature zoysiagrass seeds were given 10 min of swelling time before sea sand treatment using a sea sand and seed ratio of 1 : 1 and a vortex shaking speed of 6 (1,000 rpm) for 10 min. The seeds showed increased callus formation that was more than 2 times the rate in the control. In addition, plant regeneration efficiency was also increased when embryogenic callus induced from sea sand-treated mature seeds was cultured in regeneration medium. These results will be very helpful for improving the genetic transformation frequency of zoysiagrass, a recalcitrant monocot grass.
근적외선분광법을 이용한 수수×수단그라스 교잡종 종자의 품종 판별
이기원,송요욱,김지혜,라하만 아티쿨,오미래,박형수 한국초지조사료학회 2020 한국초지조사료학회지 Vol.40 No.4
The aim of this study was to investigate the feasibility of discrimination 12 different cultivar of sorghum × sudangrass hybrid (Sorghum genus) seed through near infrared spectroscopy (NIRS). The amount of samples for develop to the best discriminant equation was 360. Whole samples were applied different three spectra range (visible, NIR and full range) within 680-2500 nm wavelength and the spectrastar 2500 Near near infrared was used to measure spectra. The calibration equation for discriminant analysis was developed partial least square (PLS) regression and discrimination equation (DE) analysis. The PLS discriminant analysis model for three spectra range developed with mathematic pretreatment 1,8,8,1 successfully discriminated 12 different sorghum genus. External validation indicated that all samples were discriminated correctly. The whole discriminant accuracy shown 82 ~ 100 % in NIR full range spectra. The results demonstrated the usefulness of NIRS combined with chemometrics as a rapid method for discrimination of sorghum × sudangrass hybrid cultivar through seed.