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149 results

  1. 49th TWC, Tob. Work. Conf., 2020, abstr. 75

    Tobacco production programming in the Suwannee River Valley of North Florida

    VANN C.D.(1); WYNN K.(1); BROUGHTON D.(1); MOORE J.M.(2); VANN M.C.(3)
    (1) University of Florida, FL USA; (2) University of Georgia, Tifton, GA USA; (3) North Carolina State University, Raleigh, NC USA
    Since the 1920s, the Suwannee River Valley of North Florida has been known for producing premium quality tobacco. Over the years a Tobacco Extension Program has evolved which assists local producers with current production practices, governmental...
  2. CORESTA Meeting, Agronomy/Phytopathology, 2019, Victoria Falls, APPOST 11

    Effect and mechanism of controlling tobacco weather fleck by Bacillus velezensis GJ11

    WANG Rui(1); HUANG Yong(1); QI Gaofu(2)
    (1) Enshi Tobacco Company of Hubei Province of CNTC, Enshi, Hubei, P.R. China; (2) College of Life Science and Technology, Huazhong Agricultural University, Wuhan, P.R. China
    Tobacco weather fleck is a kind of non-infective disease caused by O3 injury at low temperature. Plant growth-promoting rhizobacteria (PGPRs) such as Bacillus velezensis confer benefits to crops by producing volatile organic compounds to trigger...
  3. CORESTA Meeting, Smoke Science/Product Technology, 2019, Hamburg, STPOST 70

    Structure and diversity analysis of microbial communities in cigar products by high-throughput sequencing technology

    YE Changwen(1); LI Lu(2); HE Chen(1); LI Dong(1); CHEN Lianfang(1); FAN Li(1); CHEN Chen(1); WEI Xuetuan(2)
    (1) Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, P.R. China; (2) College of Food Science and Technology, Huazhong Agricultural University, Wuhan, P.R. China
    To investigate the structure and diversity of bacterial and fungal communities in cigar products, the bacterial 16S rRNA and fungal internal transcribed spacer (ITS) regions in 10 representative cigar samples were sequenced by high-throughput...
  4. TSRC, Tob. Sci. Res. Conf., 2019, 73, abstr. 097

    Methodology to determine the particle size distribution, mean, and standard deviation from sieve data

    ST. CHARLES F.K.(1); MORGAN W.T.(2)
    (1) St. Charles Consultancy, Lewisville, NC, USA; (2) RAI Services, Winston-Salem, NC, USA
    A method is described which allows the mean and standard deviation of particle size to be estimated from sieve data. The results can be used to calculate and plot the particle size distribution, the cumulative distribution, percentiles, and guide...