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Molecular Screening of Blast Resistance Genes in Rice using SSR Markers
A. K. Singh,P.K. Singhai,Madhuri Arya,N. K. Singh,U. S. Singh 한국식물병리학회 2015 Plant Pathology Journal Vol.31 No.1
Rice Blast is the most devastating disease causing majoryield losses in every year worldwide. It had beenproved that using resistant rice varieties would be themost effective way to control this disease. Molecularscreening and genetic diversities of major rice blast resistancegenes were determined in 192 rice germplasmaccessions using simple sequence repeat (SSR) markers. The genetic frequencies of the 10 major rice blastresistance genes varied from 19.79% to 54.69%. Sevenaccessions IC337593, IC346002, IC346004, IC346813,IC356117, IC356422 and IC383441 had maximumeight blast resistance gene, while FR13B, Hourakani,Kala Rata 1-24, Lemont, Brown Gora, IR87756-20-2-2-3, IC282418, IC356419, PKSLGR-1 and PKSLGR-39had seven blast resistance genes. Twenty accessionspossessed six genes, 36 accessions had five genes, 41 accessionshad four genes, 38 accessions had three genes,26 accessions had two genes, 13 accessions had single Rgene and only one accession IC438644 does not possessany one blast resistant gene. Out of 192 accessions only17 accessions harboured 7 to 8 blast resistance genes.
Relative Bioavailability Studies on Two Tablet Preparations of Ofloxacin
Shakya, Ashok-K.,Talwar, Naresh,Karajgi, Jayant,Singhai, Akhlesh The Pharmaceutical Society of Korea 1992 Archives of Pharmacal Research Vol.15 No.3
Comparative bioavailability of two tablet dosage forms of ofloxacin (either as Hoechst (India) or Ranbaxy preparation ) was investigated. In a randomized cross-over study, eitht healthy human volunteers received single 200 mg dose of film coated ofloxacin in fasting state. The concentration of ofloxacin in the collected saliva and serum samples were measured by high performance liquid chromatography. No significant difference in bioavailability of both preparations was judged from various serum and seliva pharmacokinetic parameters such as peak concentration, time to peak concentration and are under the curves. Intersubject variation was also found to be insignificant.
Rajpoot Sharad Chandra,Pandey Chanki,Rajpoot Prashant Singh,Singhai Sanjay Kumar,Sethy Prabira Kumar 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.4
This paper proposes a SUGPDS model based on Detection and Isolation algorithm and smart sensors, namely micro phasor measurement unit, smart sensing and switching device, phasor data concentrator, and ZigBee technology, etc. for the identifi cation, classifi cation, and isolation of the various fault occurs in the underground power cable in the distribution system. The proposed SUGPDS is a quick and smart tool in supervising, managing, and controlling various faults and issues and maintaining the reliability, stability, and uninterrupted fl ow of electricity. First, the SUGPDS model is analyzed using a distributed parameter approach. Then, the proper arrangement of the system required for the implantation of SUGPDS is demonstrated using fi gures. The Phasor data concentrator plays an essential role in developing the detection and classifi cation report for identifi cation and classifi cation. Finally, smart sensing and switching device installed at a diff erent location isolated the faulty phase from a healthy network. This approach helps to decrease power consumption. Hence, SUGPDS has super abilities compared to the underground power distribution system. The eff ectiveness of the proposed method and model is demonstrated via fi gures and tables