水稻全生育期耐盐性鉴定评价方法研究
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  • 英文篇名:Identi?cation and Evaluation Method for Saline Tolerance in Rice During the Whole Growth Stage
  • 作者:耿雷跃 ; 马小定 ; 崔迪 ; 张启星 ; 韩冰 ; 韩龙植
  • 英文作者:GENG Lei-yue;MA Xiao-ding;CUI Di;ZHANG Qi-xing;HAN Bing;HAN Long-zhi;Institute of Crop Sciences,Chinese Academy of Agricultural Sciences/The National Key Facility for Crop Gene Resources and Genetic Improvement/Key Laboratory of Crop Germplasm Resources and Biotechnology,Ministry of Agriculture;Coastal Agriculture Institute,Hebei Academy of Agricultural and Forestry Sciences;
  • 关键词:水稻 ; 全生育期 ; 耐盐 ; 鉴定方法 ; 综合评价
  • 英文关键词:rice;;whole growth stage;;saline tolerance;;identification method;;comprehensive evaluation
  • 中文刊名:ZWYC
  • 英文刊名:Journal of Plant Genetic Resources
  • 机构:中国农业科学院作物科学研究所/农作物基因资源与基因改良国家重大科学工程/农业部作物种质资源与生物技术重点开放实验室;河北省农林科学院滨海农业研究所;
  • 出版日期:2018-11-22 09:36
  • 出版单位:植物遗传资源学报
  • 年:2019
  • 期:v.20
  • 基金:国家科技支撑计划课题(2015BAD01B01-1);; 国家重点研发计划课题(2016YFD0100101);; 中国农业科学院科技创新工程项目;; 国家农作物种质资源保护项目(2017NWB036-01,2017NWB036-12-2);; 国家农作物种质资源平台(NICGR2017-001);; 河北省农林科学院基本科研业务费项目(2018010201)~~
  • 语种:中文;
  • 页:ZWYC201902005
  • 页数:9
  • CN:02
  • ISSN:11-4996/S
  • 分类号:33-41
摘要
土壤盐渍化是危害水稻生产的重要非生物胁迫因素,而遗传改良是提高水稻耐盐性的有效途径之一。全生育期耐盐性是对水稻各生育时期耐盐性的综合反映。科学、准确、高效的水稻全生育期耐盐性鉴定评价方法是水稻耐盐遗传改良必要条件,也是正确判别水稻种质耐盐真实性的关键所在。本研究挑选19份不同耐盐性水稻种质作为研究材料,在正常环境和0.2%、0.3%、0.4%、0.5%、0.6%、0.7%盐处理浓度下,调查11个农艺性状并计算其耐盐系数,运用品种间四分位差法分析,明确水稻全生育期耐盐性鉴定最适浓度。品种间四分位差最大的盐浓度被认为是盐处理最佳浓度;综合多种多元统计分析方法,包括主成分分析、隶属函数分析、回归分析、聚类分析,对水稻全生育期耐盐性鉴定合理评价方法进行探索。结果表明,0.3%盐胁迫浓度下多数性状耐盐系数品种间四分位差最大,0.3%盐胁迫浓度是水稻全生育期耐盐性鉴定最适浓度。主成分分析结果表明,11个农艺性状的耐盐系数可简化为3个主成分。利用主成分贡献率和隶属函数分析,可进一步将3个主成分值简化为水稻耐盐性综合评价指标D值。D值能够简便、准确的评价水稻种质的耐盐性。本研究还利用逐步回归分析,建立D值与11个农艺性状耐盐系数最优线性回归方程:D=-0.365+0.647PL+0.152GP+0.274TW。从该方程可知穗长、穗粒数和总干物重耐盐系数是影响D值的关键指标。利用回归分析建立的模型,可准确完成对D值预测。本研究利用聚类分析,将19份水稻种质耐盐性划分为5个等级,对应于水稻5个耐盐等级划分,即极强、强、中、弱、极弱,可作为其他水稻种质耐盐性评价重要参考。
        Soil salinization is one of the important abiotic stresses on rice production,and the genetic improvement is an effective way to improve the salinity tolerance of rice. Saline tolerance of rice during the whole growth stage is a comprehensive reflection of saline tolerance for several growth stages of rice. The scientific,accurate and efficient identification and evaluation system for saline tolerance of rice during the whole growth period is the necessary condition for the genetic improvement of the saline tolerance of rice. It is also the key to correctly distinguish the saline tolerance of rice germplasm. In this study,19 rice germplasm with levels of saline tolerance were tested under normal condition and 0.2%、0.3%、0.4%、0.5%、0.6%、0.7% saline treatment concentrations. 11 agronomic traits were investigated and the saline tolerance coefficient was calculated. Furthermore,the optimum concentration of saline tolerance was determined by using interquartile range method between varieties. The salinity with maximum interquartile range between varieties was supposed to be the optimum stress environment.A series of comprehensive multivariate statistical analysis method,included principal component analysis,membership function analysis,stepwise regression analysis and cluster analysis,was used to explore the rational evaluation method of saline tolerance of rice during the whole growth stage. The results showed that under 0.3% salinity,the saline tolerance coefficient of most traits shown the highest interquartile range among varieties. Therefore,it is considered that the 0.3% salinity is the optimum concentration for identification saline tolerance in rice. The results of principal component analysis showed that the saline tolerance coefficient of11 agronomic traits can be reduced to 3 principal components. By using the principal component contribution rate and membership function analysis,the three principal component values can be further simplified into the comprehensive evaluation index of rice saline tolerance:D value. D value can be used to evaluate the saline tolerance of rice germplasm simply and accurately. In this study,we also used stepwise regression analysis to establish the optimal linear regression equation for the saline tolerance coefficient of 11 agronomic traits and D value:D=-0.365+0.647 PL+0.152 GP+0.274 TW. Through stepwise regression analysis,the saline tolerance coefficient of panicle length,grains per panicle and total weight was the key indicator of D value. This equation can accurately predict the D value. The saline tolerance of 19 rice germplasm can be divided into 5 grades by cluster analysis,corresponding to 5 saline tolerance grades of rice,i.e.very strong,strong,medium,week and very week. It can be regarded as an important reference for salt tolerance evaluation of other rice germplasm.
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