摘要
为研究近年来参试小麦品系品质状况并筛选优质品种,对2016—2018年参加国家冬麦区黄淮南片水地组品种区域试验的20个小麦新品系的5个性状进行灰色关联度分析。结果表明,各指标与品质综合评价值的关联度(r_i)和权重(r_j)2年均表现为容重>湿面筋含量/吸水率>蛋白质含量>稳定时间。2017年5个品种综合评价值高于对照,2018年10个品种综合评价值高于对照。‘郑科麦136’连续2年综合评价值列首位。无论是否考虑各指标对品质影响的权重,‘漯麦26’品质2年间差异最小。灰色关联度分析法在品质性状评价中具有一定的科学性,但受评价指标较少、各指标赋权合理性的影响,有一些局限性。在品种应用时应根据最终用途进行细化评价,不同类型的品质参数应分别做灰色关联度分析,以保证分析结果准确。
The paper aims to study the quality of wheat lines in test and to select high quality varieties in recent years. Grey relational analysis was conducted to study 5 characters of 20 wheat varieties in 2016-2018 south Huanghuai winter-wheat region test. The results showed that the two-year relational degree and weight coefficient of the 5 characters were both like unit weight>wet gluten content/water absorption>content of protein>stability time. The comprehensive evaluation indexes of 5 varieties were higher than the contrast in 2017 and those of 10 varieties were higher than the contrast in 2018.The comprehensive evaluation value of’Zhengkemai 136’was the highest in both the 2 years. Whether or not the weight coefficient was taken into consideration, the annual difference of’Luomai 26’was the smallest among all varieties. The grey relational analysis is of certain scientific value in quality traits evaluation, but is restricted by the few evaluation indexes and the rationality of the weight of each index. In the application of varieties, detailed evaluation according the final purpose is essential, and the grey relational analysis on classified quality traits should be conducted to ensure the accuracy of the evaluation.
作者
杨丽娟
付亮
蒋志凯
王士坤
魏芳
Yang Lijuan;Fu Liang;Jiang Zhikai;Wang Shikun;Wei Fang(Xinxiang Academy of Agricultural Sciences,Henan Province,Xinxiang Henan 453003)
出处
《中国农学通报》
2020年第19期135-140,共6页
Chinese Agricultural Science Bulletin
基金
国家重点研发计划“黄淮冬麦区南片高产优质节水小麦新品种选育”(2017YFD0100704)
河南省农业科学院“四优四化”科技支撑行动计划“优质专用小麦新品种与绿色增效生产技术示范与推广”(2018YFD0300700)
河南省科技攻关计划“农家种在小麦品质改良中的应用”(182102110172)。
关键词
灰色关联度
小麦
品种
品质
grey relational analysis
wheat
variety
quality
