Effect of soil moisture during stratification on dormancy release in seeds of five common weed species
Effect of soil moisture during stratification on dormancy release in seeds of five common weed species
复制标题
层积过程中土壤湿度对五种常见杂草种子休眠解除的影响
DOI：
10.1111/wre.12297
复制
发表时间：
2018-06-01
期刊：
影响因子：
1.7
通讯作者：
Wang, Y. R.
中科院分区：
文献类型：
--
作者：
Hu, X. W.;Ding, X. Y.;Wang, Y. R.
尽管冷层积对种子生理休眠释放的影响已被广泛研究，但对冷层积过程中土壤含水量对种子休眠释放作用的了解有限。我们的研究确定了五种常见杂草反枝苋、藜、杂交藜、车前子和狗尾草的种子休眠特性以及冷层积过程中土壤含水量对种子休眠破坏的影响。所有五个物种的种子在收获时都处于休眠状态，它们的发芽对光和温度的反应各不相同。土壤含水量对除披针松外的所有物种的种子休眠解除都有显着影响。无论发芽试验温度如何，反弯曲霉、白曲霉、杂交曲霉的发芽率均随着土壤含水量的增加而先增加后减少。反屈曲、白花、杂交花休眠打破的最佳土壤含水量和种子含水量分别为8%、12%、8%和22.0%、37.7%、25.7%。干燥储存（后熟）显着增加了 S.glauca 的发芽率。此外，增加土壤湿度首先会减缓青冈的休眠破坏，然后又会增加。这些结果表明，土壤湿度数据应纳入预测杂草种子休眠破坏和幼苗出苗时间以及杂草管理的模型中。
Although the effects of cold stratification on the release of physiological dormancy in seeds have been studied extensively, knowledge of the role of soil moisture content on seed dormancy release during cold stratification is limited. Our study determined seed dormancy characteristics and the effect of soil moisture content on seed dormancy breakage during cold stratification in the five common weed species Amaranthus retroflexus, Chenopodium album, Chenopodium hybridum, Plantago lanceolata and Setaria glauca. Seeds of all five species were dormant at the time of harvest and their germination response to light and temperature varied. Soil moisture content had a significant effect on seed dormancy release of all species except P.lanceolata. Germination percentage of A.retroflexus, C.album, C.hybridum increased and then decreased as soil moisture content increased, regardless of germination test temperature. The optimal soil moisture content and seed moisture content for dormancy breakage of A.retroflexus, C.album, C.hybridum were 8%, 12%, 8% and 22.0%, 37.7%, 25.7% respectively. Dry storage (after-ripening) significantly increased germination of S.glauca. Moreover, increasing soil moisture content first slowed and then increased dormancy breakage in S.glauca. These results suggest that data on soil moisture content should be incorporated into models that predict weed seed dormancy breakage and timing of seedling emergence as well as those for weed management.