Identifying the Critical Stage Near Anthesis for Waterlogging on Wheat Yield and Its Components in the Yangtze River Basin, China
Identifying the Critical Stage Near Anthesis for Waterlogging on Wheat Yield and Its Components in the Yangtze River Basin, China
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长江流域花期涝害对小麦产量及其影响的关键时期识别
DOI：
10.3390/agronomy10010130
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发表时间：
2020-01-01
期刊：
影响因子：
3.7
通讯作者：
Guo, Wenshan
中科院分区：
文献类型：
--
作者：
Ding, Jinfeng;Liang, Peng;Guo, Wenshan
花期频繁内涝是长江流域小麦生产的主要制约因素。本研究旨在确定涝渍对小麦产量影响的关键阶段及其构成因素，并找出影响该阶段的可能因素。在第一个实验 (E1) 中，我们评估了三个品种，并从茎伸长 (S1)、孕穗 (S2) 和开花 (S3) 阶段开始为期 10 天的淹水。在第二个实验（E2）中，在茎伸长（S1）和开花（S3）阶段施加淹水，并持续三个持续时间（5天、10天和15天）。 E1中，S1和S2的涝害导致粮食产量低于S3。 E1第二年，S1和S3渍水条件下粮食产量相似，但显着低于S2渍水条件。 S1和S2渍水大大降低了穗粒数和千粒重，而S3渍水仅降低了千粒重。而且，不同品种并没有改变主要降低粮食产量和产量构成的阶段。 E2中，随着涝害时间的延长，粮食产量下降，15 d条件下的产量明显低于5 d条件下的产量。内涝阶段与内涝持续时间之间不存在显着的交互作用。最后，我们的结果表明，在产量形成中，更多地依赖籽粒重量而不是每穗籽粒数量可以有助于减少 S1 和 S2 水涝造成的产量损失。因此，本研究表明茎伸长期受涝害影响最大。
Frequent waterlogging near anthesis is a primary constraint for wheat production in the Yangtze River Basin, China. This study aimed to identify the critical stage for waterlogging on wheat yield and its components and identify the possible factors determining this stage. In the first experiment (E1), we evaluated three varieties and initiated a 10-day waterlogging starting at the stem elongation (S1), booting (S2), and anthesis (S3) stages. In the second experiment (E2), waterlogging was applied at the stem elongation (S1) and anthesis (S3) stages and for three durations (five, 10, and 15 days). In E1, waterlogging at S1 and S2 resulted in a lower grain yield than at S3. In the second year of E1, grain yield under waterlogging at S1 and S3 was similar but significantly lower than under waterlogging conditions at S2. Waterlogging at S1 and S2 greatly decreased the kernel number per spike and 1000-kernel weight, but waterlogging at S3 only decreased the 1000-kernel weight. Moreover, different varieties did not change the stages mostly reducing grain yield and yield components. In E2, grain yield decreased with prolonged exposure to waterlogging and was significantly lower under 15-day conditions than the five-day conditions. There was no significant interaction between the stage and duration of waterlogging. Finally, our results indicate that in yield formation, a greater reliance on kernel weight instead of the kernel number per spike can contribute to a reduction in yield loss for waterlogging at S1 and S2. This study, therefore, indicates that the stem elongation stage is the most affected by waterlogging.