Quantitative Analysis of Dry Matter Accumulation and Distribution in Sesame during Flowering Period under Waterlogging Stress

CHEN Dandan; LI Guoqiang; ZHOU Meng; ZHANG Jiantao; HU Feng; LI Yali; ZHENG Guoqing

doi:10.15933/j.cnki.1004-3268.2018.01.004

Abstract：In order to reveal the effect of waterlogging stress on dry matter accumulation and distribution of sesame,waterlogging resistant variety Zhongzhi 13 and waterlogging sensitive variety Zhengzhi 13 as research objects were used to study dry matter accumulation and distribution in sesame with different waterlogging duration(waterlogging 0 h,24 h,36 h,48 h,60 h)during full flowering period through pot experiments.Quantitative analysis was carried out on the dry matter accumulation and distribution in sesame with the relative number of days after emergence as the unit of measure.The results showed that variation tendency of sesame dry matter accumulation along with the change of days after emergence and sesame capsule distribution index along with the change of days after anthesis accorded with the Logistic curve change rule,fitting decisive factors above 0.96 and 0.91,respectively.The fitting parameter K of dry matter accumulation decreased with the increase of the duration of waterlogging stress,Zhongzhi 13 parameters a and b were affected little by waterlogging stress.Zhengzhi 13 parameters a and b were significantly lower than the control except for W24h (waterlogging 24 h) experiment.By analyzing the secondary parameters,it could be known that the dry matter accumulation rate of the two sesame varieties were decreased,and the decreasing amplitude increased with the increase of the duration of the waterlogging stress.The capsule distribution index Logistic curve fitting parameter K of two varieties with waterlogging time growth decreased gradually,in which Zhengzhi 13 at 36 h,48 h,60 h after waterlogging significantly reduced.Waterlogging had no significant effect on the sesame capsule distribution index a and b.The distribution index of sesame stem first increased and then decreased,and the single peak curve was fitted with four degree polynomial,and the fitting coefficient was over 0.83.The leaf distribution index showed a decreasing curve,which fit the two degree polynomial,and the decision coefficient of each treatment was more than 0.91.Moisture damage had no significant effect on the fitting parameters of sesame stem and leaf distribution index.