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模拟干旱条件下冬小麦品种萌发期抗旱性评价

孙绿 李玉刚 王圣健 刘亚东 王志英 刘丹 李娜娜 赵长星 盖红梅

干旱地区农业研究2017,Vol.35Issue(6):109-115,7.
干旱地区农业研究2017,Vol.35Issue(6):109-115,7.DOI:10.7606/j.issn.1000-7601.2017.06.17

模拟干旱条件下冬小麦品种萌发期抗旱性评价

Evaluation of drought resistance of winter wheat under drought stress simulation at germination stage

孙绿 1李玉刚 2王圣健 2刘亚东 2王志英 1刘丹 2李娜娜 3赵长星 4盖红梅1

作者信息

  • 1. 青岛农业大学农学与植物保护学院,山东省旱作农业技术重点实验室,山东 青岛266109
  • 2. 青岛市农业科学研究院,山东 青岛266100
  • 4. 山东省农作物种质资源中心,山东 济南250100
  • 折叠

摘要

Abstract

To identify winter wheat varieties with high germination rate,which is suitable for dry area of north Chi-na,drought treatments were performed using -0.50 MPa(19.6%)PEG-6000 aqueous solution.The results showed that the averages of the five traits under treatment were decreased by 77.3%,40.0%,30.7%,16.7% and 78.0%, respectively compared with the control.Analysis with the traits of drought resistance showed that the 19.6% PEG-6000 simulation stress promoted the main radicle length elongation of some varieties,including Lovlin 13,Wennong 14 and Lunxuan 987,which may be active in drought-resistance response.D value calculated by the weighting membership function method was positively correlated with drought resistance indices,such as the coleoptile length,root number.Ac-cording to UPGMA algorithm with drought resistance coefficient,the material was divided into two major categories in the genetic distance of 0.82.Accordingly,the strongest drought-resistance germplasm was indentified as Lovlin 13,Wen-nong 14,Chinese spring wheat,Luomai 8,Lunxuan 987,Taishan 22,Shannong 17,Tainong 18,Yanhangxuan 2, Zhongyu 6,Lumai 14,Tainong 6258 and Tainong 2987.

关键词

小麦/萌发期/抗旱性/胚芽鞘长/隶属函数法/聚类分析

Key words

wheat/germination stage/drought resistance/coleoptile length/membership function method/cluster-ing analysis

分类

农业科技

引用本文复制引用

孙绿,李玉刚,王圣健,刘亚东,王志英,刘丹,李娜娜,赵长星,盖红梅..模拟干旱条件下冬小麦品种萌发期抗旱性评价[J].干旱地区农业研究,2017,35(6):109-115,7.

基金项目

国家自然科学青年基金(31301320) (31301320)

国家科技支撑计划项目(2011BAD09B01 -2) (2011BAD09B01 -2)

山东省农业科学院青年科研基金(2014QNM09) (2014QNM09)

国家重点研发计划(2016YFD0300400,2016YFD0100302) (2016YFD0300400,2016YFD0100302)

干旱地区农业研究

OACSCDCSTPCD

1000-7601

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