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玉溪地区甜玉米主要农艺性状与鲜穗产量的灰色关联度分析

2020-03-31胡新洲安正云杨进成沈祥宏张钟李红彦李艳兰张翠萍林姣姣刘坚坚易丽华

安徽农业科学 2020年4期

胡新洲 安正云 杨进成 沈祥宏 张钟 李红彦 李艳兰 张翠萍 林姣姣 刘坚坚 易丽华

摘要  [目的]探索甜玉米主要农艺性状对鲜穗产量的影响,为玉溪市优质高产甜玉米的选育和栽培提供理论依据。[方法]通过灰色关联度分析法分析甜玉米 11 个农艺性状与产量的关系。[结果]甜玉米农艺性状与鲜穗产量的关联度由大到小依次为单穗鲜重、行粒数、穗长、穗行数、株高、全株叶片数、穗粗、生育期、穗位高、雄穗分枝数、百粒重。其中,单穗鲜重、行粒数、穗长及穗行数是影响甜玉米鲜穗产量的主要因素,而百粒重对产量的影响较小。[结论]在鲜食甜玉米育种中,应注重对单穗鲜重、行粒数、穗长及穗行数的选择,以提高鲜食甜玉米的产量。

关键词  甜玉米;农艺性状;鲜穗产量;灰色关联度

中图分类号  S  513文献标识码  A文章编号  0517-6611(2020)04-0034-03

doi:10.3969/j.issn.0517-6611.2020.04.010

开放科学(资源服务)标识码(OSID):

Grey Relational Analysis for Agronomic Traits and Fresh Ear Yield of Sweet Corn in Yuxi City

HU Xin-zhou, AN Zheng-yun, YANG Jin-cheng et al

(Yuxi Academy of Agricultural Sciences, Yuxi, Yunnan 653100)

Abstract  [Objective]To explore the influence of main agronomic characters on fresh ear yield of sweet corn, and to provide theoretical basis for breeding and cultivation of good quality and high yield sweet corn in Yuxi City. [Method]We analyzed the relationships between 11 agronomic traits and fresh ear yield of sweet corn by grey relational analysis. [Result] Fresh ear yield was closely related to fresh weigh per ear, kernel per row, spike length and rows per ear, and the next were plant height, leaf number of whole plant, ear diameter, growth period, ear height, tassel branch number and 100-grain weight. Among them, fresh weight per ear, kernel per row, spike length and rows per ear were the main factors affecting fresh ear yield of sweet corn , while 100-grain weight had less effect on yield.[Conclusion]In the breeding of fresh sweet corn, we should pay attention to the selection of fresh weigh per ear, kernel per row and spike length and rows per ear, so as to improve the yield of fresh sweet corn.

Key words  Sweet corn;Agronomic trait;Fresh ear yield;Grey relation grade

甜玉米又稱水果玉米、水果型菜玉米,果穗在乳熟期采收,口感鲜甜嫩脆,营养丰富,深受广大消费者喜爱。近年来,随着农业供给侧结构改革力度的加大,我国鲜食甜玉米种植面积不断扩大,其蔬菜、水果、粮食及饲料(果穗采摘后茎秆可作青贮饲料)“四位一体”的多功能价值对促进农业种植结构调整、增加农民收入、满足消费者需求具有重大意义,市场前景极其广阔。

灰色关联度分析法是研究作物多元性状相对重要性的良好方法,可以针对某个因素与其他多个因素进行灰色关联分析,找出其中的主要因素[1-2]。……

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