山东省强筋小麦品质评价及与气象因子关系分析  

Study on the Quality Parameters of Strong Gluten Wheat and Analysis of Its Relationship with Meteorological Factors in Shandong Province

作　　者：余维宝 李楠[3] 寇一泓 曹新有[1] 司纪升[1] 韩守威 李豪圣[1] 张宾[1] 王法宏[1] 张海林[2] 赵鑫[2] 李华伟[1] YU WeiBao;LI Nan;KOU YiHong;CAO XinYou;SI JiSheng;HAN ShouWei;LI HaoSheng;ZHANG Bin;WANG FaHong;ZHANG HaiLin;ZHAO Xin;LI HuaWei(Crop Research Institute,Shandong Academy of Agricultural Sciences/National Engineering Research Center of Wheat and Maize/Key Laboratory of Wheat Biology and Genetics and Breeding in Northern Huang-Huai River Plain,Ministry of Agriculture and Rural Affairs/Shandong Technology Innovation Center of Wheat/Jinan Key Laboratory of Wheat Genetic Improvement,Jinan 250100;College of Agronomy and Biotechnology,China Agricultural University,Beijing 100193;Shandong Meteorological Bureau,Jinan 250031)

机构地区：[1]山东省农业科学院作物研究所/小麦玉米国家工程研究中心/农业农村部黄淮北部小麦生物学与遗传育种重点实验室/山东省小麦技术创新中心/济南市小麦遗传改良重点实验室,济南250100 [2]中国农业大学农学院,北京100193 [3]山东省气象局,济南250031

出　　处：《中国农业科学》2022年第22期4383-4397,共15页Scientia Agricultura Sinica

基　　金：山东省良种工程项目“优质强筋小麦突破性新品种选育”(2019LZGC001);泰山产业领军人才项目(tscy20190106);国家重点研发计划(2016YFD0300105-5);国家小麦产业技术体系(CARS-03-22)。

摘　　要：【目的】明确山东省强筋小麦品质分布特征,分析关键气象因子对小麦品质参数的影响。【方法】以优质强筋小麦济麦44为材料,2018-2020年在山东省44个县区获取296组籽粒样品,评价了其品质参数在山东省的分布特征,采用逐步回归的方法分析了不同生育期光、温、水等气象因子与小麦品质参数之间的关系,利用地理信息系统(GIS)对品质参数及其影响因子进行了空间可视化分析,并探究了优质强筋小麦在山东省可能性优势分布区域。【结果】不同年份,不同区域间各品质参数存在差异,两年强筋达标率表现为最大拉阻力>吸水率>容重>稳定时间>蛋白质含量>拉伸面积>湿面筋含量,变异系数表现为稳定时间>拉伸面积>最大拉阻力>湿面筋含量>蛋白质含量>吸水率>容重。容重在鲁西和鲁西北地区整体高于其他地区,随经度升高而降低,主要受返青—拔节期降雨量的影响;蛋白质含量受开花—乳熟期≥5℃积温正向影响,2018-2019年从西南向东北增加,2019-2020年从西北向东南增加;鲁东地区湿面筋含量较高,这与该地区小麦开花—乳熟期降雨量多极显著相关;拔节—开花期最高气温的负效应与播种—越冬期降雨量的正效应,综合影响了稳定时间高值的分布与区域变化;拉伸面积从鲁西向鲁东逐渐降低,主要与返青—拔节期≥5℃积温显著正相关;最大拉阻力总体表现在东西方向低而中部高,主要与开花—乳熟期≥5℃积温显著负相关。综合分析显示在鲁东和鲁南地区种植强筋小麦的优质可能性强于鲁中和鲁北地区,鲁西地区最低。【结论】鲁东和鲁南地区是山东省强筋小麦优势种植区域,优质可能性最大。返青—拔节期、拔节—开花期以及灌浆期高温都不利于小麦面团流变学参数;开花—乳熟期积温与蛋白质含量正相关;播种—越冬期降雨有利于面团稳定时间的增加,当开花—乳熟�【Objective】In this paper, the dominant distribution areas of strong gluten wheat were clarified in Shandong province, and the influence of key meteorological factors on its quality parameters was analyzed. 【Method】The high-quality strong-gluten wheat Jimai 44 was selected as the research material, and 296 samples were collected from 44 counties and districts in Shandong province in the growing seasons of 2018 to 2020. The relationship of meteorological factors, such as light, temperature and water, in different growth periods with wheat quality parameters was analyzed by using the method of stepwise regression. The geographic information system(GIS) was used for spatial visualization analysis, and the possible distribution of high-quality strong-gluten wheat advantageous areas was explored in Shandong province. 【Result】There were differences in the performance of each quality parameter in the different regions in different years. The proportion of samples reaching the standard of strong gluten was shown as maximum pull resistance>water absorption rate>bulk density>stabilize time>protein content>tensile area>wet gluten content in two years, and the coefficients of variation of quality parameters from large to small were stabilize time, tensile area, maximum pull resistance, wet gluten content, protein content, water absorption rate, and bulk density. The bulk density in western and northwestern Shandong was generally higher than that in other regions, and decreased with the increase of longitude, which was mainly related to the influence of rainfall during the rejuvenation-jointing period. The protein content was positively affected by the accumulated temperature ≥5℃ during the anthesis-milk maturity period, while increased from southwest to northeast in 2018-2019 and from northwest to southeast in 2019-2020. The wet gluten content was higher in the eastern Shandong region, which was significantly related to the high rainfall during the anthesis-milk maturity period in this region. The stabilize ti

关 键 词：小麦 品质参数 气象因子 空间分布 

分 类 号：S512.1[农业科学—作物学] S162.53