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Low soil temperature and drought stress conditions at flowering stage affect physiology and pollen traits of rice 被引量:4
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作者 RAO Gang-shun Umair Ashraf +5 位作者 KONG Lei-lei MO Zhao-wen xiao li-zhong ZHONG Ke-you Fahd Rasul TANG Xiang-ru 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2019年第8期1859-1870,共12页
Low temperature and drought stress are the major constraints in rice productivity worldwide. This study investigated the influence of low soil temperature and/or drought stress on physiology and pollen traits of two r... Low temperature and drought stress are the major constraints in rice productivity worldwide. This study investigated the influence of low soil temperature and/or drought stress on physiology and pollen traits of two rice genotypes viz., Guinongzhan and Yueza 763 at flowering stage. The experiment included four treatments, i.e., under the greenhouse natural growth conditions (UC) taken as control, drought stress (DS), the soil water potential was kept at ?0.035 to ?0.045 MPa (DS), low soil temperature (LT) maintained at 19 to 21℃, combined LT and DS (LT+DS, LD). Results showed that LT, DS, and LD substantially reduced net photosynthetic rate (Pn) and the maximal photochemical efficiency of PSII (Fv/Fm), whilst transpiration rate (Tr) was markedly enhanced by under LT in both rice genotypes. The malondialdehyde (MDA) contents were enhanced under LT, DS, and LD in Guinongzhan, whilst the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) were regulated by LT, DS, and LD in both rice genotypes. Furthermore, anther dehiscence rate, pollen numbers on stigma, pollen viability and pollen germination rate, and anther starch contents were obviously reduced under LT and DS of both rice genotypes. Stress conditions substantially reduced the yield and yield components, i.e., effective panicles, seed set percentage, grain/panicles, 1000-grain weight, and grain yield of both genotypes and the effects were more apparent in Guinongzhan than those in Yueza 763 whilst combined LT and DS proved more damaging than individual stress. 展开更多
关键词 antioxidant enzymes cold stress POLLEN TRAITS PHOTOSYNTHESIS RICE yield
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基于AR-RBF的舆情趋势预测模型仿真 被引量:1
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作者 闫婷瑞 王栋 +1 位作者 肖立中 王广仲 《计算机仿真》 北大核心 2021年第4期437-441,共5页
随着越来越多的网民在微博等社交网站表达自我的意见,准确的预测舆情趋势发展,是一个亟待解决的问题。前人多构建传统的单模型来进行网络舆情趋势预测,随着网络舆情的发展,传统单模型较难收到好的效果。设计了一种基于RBF神经网络预测... 随着越来越多的网民在微博等社交网站表达自我的意见,准确的预测舆情趋势发展,是一个亟待解决的问题。前人多构建传统的单模型来进行网络舆情趋势预测,随着网络舆情的发展,传统单模型较难收到好的效果。设计了一种基于RBF神经网络预测模型和ARMA时间序列预测模型的AR-RBF组合预测模型,首先以一段时间内的微博热门话题产生的时间序列数据为训练集,然后采用线性最优法来确定AR-RBF预测模型的组合权重。模型仿真结果表明,与RBF神经网络预测模型和ARMA时间序列预测模型相比,AR-RBF组合预测模型具备更好的舆情趋势预测成果。 展开更多
关键词 网络舆情 时间序列 神经网络 舆情预测
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