余卫东, 冯利平, 盛绍学, 石磊, 李德. 涝渍胁迫下夏玉米的灌浆特征及其动态模拟[J]. 中国生态农业学报(中英文), 2015, 23(9): 1142-1149. DOI: 10.13930/j.cnki.cjea.150162
引用本文: 余卫东, 冯利平, 盛绍学, 石磊, 李德. 涝渍胁迫下夏玉米的灌浆特征及其动态模拟[J]. 中国生态农业学报(中英文), 2015, 23(9): 1142-1149. DOI: 10.13930/j.cnki.cjea.150162
YU Weidong, FENG Liping, SHENG Shaoxue, SHI Lei, LI De. Analysis of the dynamics and characteristics of grain filling in summer maize under waterlogging stress[J]. Chinese Journal of Eco-Agriculture, 2015, 23(9): 1142-1149. DOI: 10.13930/j.cnki.cjea.150162
Citation: YU Weidong, FENG Liping, SHENG Shaoxue, SHI Lei, LI De. Analysis of the dynamics and characteristics of grain filling in summer maize under waterlogging stress[J]. Chinese Journal of Eco-Agriculture, 2015, 23(9): 1142-1149. DOI: 10.13930/j.cnki.cjea.150162

涝渍胁迫下夏玉米的灌浆特征及其动态模拟

Analysis of the dynamics and characteristics of grain filling in summer maize under waterlogging stress

  • 摘要: 为研究拔节期和抽雄期涝渍胁迫对黄淮地区夏玉米生长及灌浆过程的影响, 在田间条件下以玉米品种‘浚单20’为试验材料, 分别设置拔节期淹水3 d(JF3)、淹水5 d(JF5)、渍水5 d(JW5)、渍水7 d(JW7)和渍水10 d(JW10), 抽雄期淹水3 d(TF3)、淹水5 d(TF5)、渍水5 d(TW5)、渍水7 d(TW7)和渍水10 d(TW10), 共10个处理。其中淹水处理为田间积水深度5 cm; 渍水处理为田间无积水, 但土壤含水量在田间持水量的90%以上。对照小区的土壤含水量保持在田间持水量的70%~80%。通过Logistic方程分别拟合了淹水和渍水条件下玉米籽粒灌浆持续时间、灌浆速率、理论千粒重等灌浆特征。结果表明, 拔节期和抽雄期涝渍胁迫减少了灌浆期总天数, 且主要表现为粒重快速增长期和缓增期天数减少。淹水3~5 d灌浆天数缩短0.2~18.9 d, 渍水5~10 d灌浆天数缩短2.2~7.6 d。淹水3 d平均灌浆速率(Va)增加8.2%~9.9%, 淹水5 d Va下降10.8%~20.9%。各渍水处理下的平均灌浆速率降低0.4%~5.2%, 且下降幅度随渍水天数增加而增加。淹水3 d的理论最大千粒重(W0)和实测千粒重(Wa)比对照增加, 而淹水5 d及各渍水处理的W0Wa均低于对照, 实测值与模拟值表现出一致的增减趋势。模拟值与实测值结果对比分析显示, Logistic方程可能高估涝渍胁迫对千粒重的影响。

     

    Abstract: In order to investigate the effects of waterlogging stress during jointing and tasseling stages on the grain filling of summer maize, field experiments were conducted during summer maize growth seasons in 2011 and 2012. ‘Xundan20’, a widely cultivated maize variety in the Huang-Huai Plain, was used in the study. Ten treatments were set up at jointing and tasseling stages, including surface waterlogging for 3 or 5 days (JF3 or JF5), and subsurface waterlogging for 5, 7 or 10 days (JW5, JW7 or JW10) at jointing stage; and surface waterlogging for 3 or 5 days (TF3 or TF5), and subsurface waterlogging for 5, 7 or 10 days (TW5, TW7 or TW10) at tasseling stage. In the surface waterlogging treatments, 5 cm depth of water layer was maintained on the soil surface. In the subsurface waterlogging treatments, soil water content was maintained above 90% of field capacity without free water layer on the soil surface. In addition, soil moistures of about 70% and 80% field capacity were set as the control treatments respectively for surface waterlogging (CK1) and subsurface waterlogging (CK2). Logistic regression model was used to simulate the effects of surface waterlogging and subsurface waterlogging on the parameters of grain filling, such as grain filling duration, mean grain filling rate and theoretical maximum 1000-seed weight of summer maize. The results showed that waterlogging stress decreased the duration of grain filling mainly due to decreases in the durations of middle and late grain filling phases. Surface waterlogging for 3 to 5 days decreased grain filling duration by 0.2 to 18.9 days whereas subsurface waterlogging for 5 to 10 days decreased grain filling duration by 2.2 to 7.6 days. Compared with CK, surface waterlogging for 3 days at jointing or tasseling stage resulted in an average increase of 8.2%9.9% in mean grain filling rate. Also for 5 days of surface waterlogging, mean grain filling rate decreased by 10.8%20.9%. Subsurface waterlogging for 5 to 10 days resulted in an average decrease of 0.4%5.2% in mean grain filling rate, where the reduction rate increased with increasing duration of subsurface waterlogging. The theoretical maximum 1000-seed weight and the measured 1000-seed weight increased under 3 days of surface waterlogging, while it reduced under 5 days of surface waterlogging and 5 to 10 days of subsurface waterlogging. The same trends were observed in both the simulated and observed 1000-seed weight. Compared with observed values, simulated results showed that the Logistic regression model overestimated the effect of waterlogging stress on 1000-seed weight.

     

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