Changes in photosynthesis,growth, and sugar content of commercial sugarcane cultivars and Erianthus under flood conditions

Sugarcane (Saccharum spp.) is an economical crop in the tropical and subtropical countries. However, because of global climate change, flooding has become problematic, particularly during the rainy season, in Thailand. We investigated the effects of floods on three commercial sugarcane cultivars, namely NiF8, U-thong 6 (UT6), and U-thong 9 (UT9), as well as Erianthus spp. Growth was assessed using a pot experiment in a glasshouse with two treatments: (1) control and (2) 60 d of flooding followed by 30 d of normal conditions. In comparison with control, during prolonged flooding, Erianthus showed greatly decreased CO₂ assimilation, whereas NiF8, UT6, and UT9 showed slightly declined CO₂ assimilation. Growth in plants subjected to 60 d of flooding was less influenced by floods while sucrose content was not affected except in UT6. During flooding, some roots died, resulting in plants compensating adventitious roots to offset the negative effects of root death and to assist them in maintaining their growth, which appeared from the submerged nodes, with different characteristics for each cultivar. However, 30 d after draining, roots remained damaged, while adventitious roots died, resulting in lesser growth as compared with the control, but it did not significantly affect sucrose content and sugar yield. This study suggests that sugarcane plants need to produce the adventitious roots to compensate their roots’ death during flooding and require time to recover their root system after flooding for obtaining the optimum yield and quality at harvest.     

Impact of soil water content on maize responses to the plant growth-promoting rhizobacterium Azospirillum lipoferum CRT1

Members of the bacterial genus Azospirillum are root-associated bacteria that increase yield in cereals by promoting growth and alleviating drought stress. How plants integrate the many bacterium-derived growth-promoting stimuli with other environmental factors to generate a coordinated response remains unresolved. Using a commercial Azospirillum strain, A. lipoferum CRT1 and two host maize cultivars, it was observed that bacterization reduced the drought-induced increase in lateral root growth and enhanced the flood-induced increase in lateral root growth in the more drought- and flood-sensitive cultivar. In the other one, A. lipoferum CRT1 only elicited a moderate root growth response under low soil water potential. The photosynthetic potential and activity were increased in the earlier cultivar and decreased in the later one, irrespective of the soil water content. No impact of the bacterium was seen on the growth of the leaves of both cultivars under both stresses until the third leaf stage, therefore suggesting that it is a consequence of multiple primary adaptations to biotic and abiotic stresses. It is suggested that host–bacteria recognition leads to a stress-specific modulation of the root response and a differential stress-independent effect on photosynthesis. This is the first report of the impact of Azospirillum under flood conditions.     

基于季节特征的土壤退墒模型建立与率定

利用河南省南阳市2011—2015年12个墒情站的土壤水分监测资料,分析研究了无增墒情况下土壤含水量消退规律,构建出基于不同季节(夏季、春秋季与冬季)的土壤含水量与衰减系数的数学模型,运用规划求解法率定模型参数,并利用2016—2017年资料对模型进行检验。结果表明,不同季节土壤水分衰竭系数模型分别为α=1.023(1-ω~2/4353)~(1/2)(夏季)、α=1.013(1-ω~2/7005)~(1/2)(春秋季)与α=1.008(1-ω~2/9303)~(1/2)(冬季),所建立的数学模型适用于南阳市相应季节壤土与粘壤土小麦、水稻与休闲地土壤旱情预测,但不适用于夏季与春秋季砂土特别是休闲地砂土土壤墒情预测。     

湖北省分地区水灾损失等级划分初探

建立了湖北省分地区水灾损失灾度等级的划分标准。基于模糊模式识别理论，按最大隶属原则和择近原则对灾度等级进行了模糊综合评判。     

发展我国洪水保险的制度思考——美国洪水保险制度的借鉴与启示

洪水保险是一项重要的非工程防洪措施.美国是世界上最早建立国家强制性洪水保险体制的国家,经过艰难曲折的探索,闯出了一条成功之路.我国的洪水保险体制还处于积极探索阶段.中美两国尽管国情差异较大,但以洪水保险作为推进洪泛区洪水风险管理的经济手段,并以立法和国家计划等措施来保障实施的作法是值得借鉴的.本文就美国洪水保险制度的发展与沿革,寻找对我国建立洪水保险制度一些有益的启示,并就此提出了一些建设性意见.     

浅谈建立郑州市道路路面养护管理系统

路面管理系统是通过对路面运行状况、使用性能、使用周期、进行对比、分析，预测路面管理的最佳养护预算投资并在最佳养护经济投资条件等各种因素限制下，寻求道路养护管理最佳战略决策。     

晚稻稻瘟病BP神经网络分区预报

应用相关分析方法分析了浙江省19个县1988～1999年晚稻稻瘟病发病与有关环境因子的关系,筛选了8个气象因子用于晚稻稻瘟病发生程度长期预报。根据各预报因子与稻瘟病发病程度相关性,采用邻接二维图论聚类分析法,将19个点(县)划分为4个生态区。每个生态区内运用BP神经网络技术建立模型,并进行拟合和试报。1997～1999年试报验证,在划分稻瘟病生态区的基础上,应用BP神经网络模型对稻瘟病进行长期预测预报是可行的,3年试报成功率分别是78.95％、84.21％和78.95％。文中还对该方法与过去常用的预报方法的试报结果作了比较。     

日本金龟子在中国适生区的预测

日本金龟子PopilliajaponicaNewman是一种重要的害虫 ,主要危害草坪和观赏植物。日本金龟子原产日本 ,现在已经分布于许多国家 ,并且造成了严重的经济损失。目前中国尚未有该虫分布。本文通过以计算机为基础的生态气候模型—CLIMEX ,利用气候数据来预测日本金龟子适合的地理分布区 ,预测结果是日本金龟子可以在中国大约 31个市、县地区生存 ,主要是沿海地区和长江流域 ,尤其是中国的中东部地区     

农作物病虫预报可视化发展与应用前景

农作物病虫预报可视化具有形象生动、信息传递快捷、覆盖面广等优点,是更好发挥预报作用的最佳方式。大范围实施这种预报发布形式的条件,目前已基本成熟,经过努力,必然会在不长的时间内取得长足进展。     

台湾稻螟发生期预测技术与应用

作者采用室内外结合的方法,根据台湾稻螟幼虫、蛹、卵的形态特征,制定了台湾稻螟分龄分级标准,并按所测定的相应虫态历期,采用分龄分级法进行了3年的发生期预测验证,平均准确率达96.7％,用于指导大田防治1.93万hm~2,平均防治效果达85.8％。