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中国农学通报 ›› 2019, Vol. 35 ›› Issue (24): 1-6.doi: 10.11924/j.issn.1000-6850.casb18030087

所属专题: 小麦

• 农学 农业基础科学 •    下一篇

长江中下游地区小麦新品种丰产稳产性的评价

姚金保, 张 鹏, 马鸿翔   

  1. 江苏省农业科学院粮食作物研究所
  • 收稿日期:2018-03-17 修回日期:2019-08-07 接受日期:2018-09-25 出版日期:2019-08-26 发布日期:2019-08-26
  • 通讯作者: 姚金保
  • 基金资助:
    农业部现代农业产业技术体系“沿江综合试验站”(CARS-03);国家重点研发计划“长江中下游冬麦区优质抗病小麦新品种培育” (2017YFD0100800);江苏省农业重大新品种创制“抗赤霉病优质专用小麦新品种培育”(PZCZ201705)。

High and Stable Yield Ability of New Wheat Varieties in the Middle and Lower Reaches of the Yangtze River: Evaluation

  • Received:2018-03-17 Revised:2019-08-07 Accepted:2018-09-25 Online:2019-08-26 Published:2019-08-26

摘要: 为了评价小麦新品种在不同生态条件下的丰产稳定性,应用Francis-Kannenberg模型分析法、线性回归Eberhart-Russell模型分析法、适应性参数法和高稳系数法对长江中下游地区新育成的13个小麦品种的丰产稳产性进行了研究。结果表明,较对照品种扬麦20增产2%以上的小麦品种有8个,占61.5%,但丰产稳产的小麦品种较少,只有微红225和扬辐麦2049,仅占15.4%。用高稳系数法评价小麦新品种的丰产稳产性是可行的,将高稳系数法与3种稳定性参数法相结合则更能准确反映小麦新品种的丰产稳产性。

关键词: 棉花, 棉花, 附沙量, 光合参数, 风沙天气

Abstract: To understand the production and utilization value of newly developed wheat varieties in the middle and lower reaches of the Yangtze River, the high and stable yield ability of thirteen wheat varieties in the regional trail of the middle and lower reaches of the Yangtze River during 2016-2017 were analyzed with the methods of Francis- Kannenberg genotype- group technique, Eberhart- Russell linear regression model, adaptability parameter and high stability coefficient. The results showed that there were eight varieties (accounting for 61.5%) with a yield increase of more than 2% compared with the control variety‘Yangmai 20’, but there were fewer varieties with high and stable yield, only‘Weihong 225’and‘Yangfumai 2049’, accounting for 15.4%. The results of Francis-Kannenberg genotype-group technique, linear regression model and adaptability parameter for the evaluation of stability of the wheat varieties were basically the same. The correlation analysis showed that high stability coefficient (HSC) had extremely and significantly positive correlation with the average yield, and significantly negative correlation or extremely and significantly negative correlation with standard deviation, coefficient of variation, regression coefficient and adaptability parameter.