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中亚大麦品种萌发期抗旱性筛选与鉴定
引用本文:任毅,王仙,张金汕,聂石辉,吴高明,耿洪伟,方伏荣.中亚大麦品种萌发期抗旱性筛选与鉴定[J].新疆农业科学,2019,56(5):882-889.
作者姓名:任毅  王仙  张金汕  聂石辉  吴高明  耿洪伟  方伏荣
作者单位:1. 新疆农业科学院粮食作物研究所,乌鲁木齐 830091;2.新疆农业大学农学院/新疆农业大学生物技术重点实验室,乌鲁木齐 830052;3.塔城裕民县农业技术推广站,新疆裕民 834800
基金项目:国家自然科学基金(31760384);国家大麦青稞产业技术体系(CARS-05-023B)
摘    要:【目的】研究不同基因型大麦萌发期抗旱特性,筛选萌发期抗旱性鉴定关键指标,建立萌发期抗旱性研究数学模型,为抗旱大麦品种培育提供理论指导。【方法】采用人工气候箱内发芽盒培养,用20%PEG8000溶液对吉33等12份中亚引进大麦品种进行萌发期抗旱试验,测定相应材料对照和胁迫下种子发芽势(GP)、发芽率(GR)、发芽指数(GI)、根数(RN)、根长(RL)、苗高(SH)和胚芽鞘长(CL)7个生长指标。以各指标相对值作为衡量萌发期抗旱性的依据,利用多元统计分析方法对不同大麦品种萌发期抗旱性进行综合评价。【结果】PEG胁迫下,参试材料各指标均较对照呈下降趋势,各指标彼此之间呈显著或极显著相关性,大麦萌发受到不同程度的抑制。利用隶属函数法综合评价发现不同大麦品种间表现出较大差异,吉33抗旱性最强,吉引2013-7-DM-088抗旱性最弱。依据主成分分析,将7个单项指标转换得到2个相互独立因子,它们代表了所测指标85.94%的信息。进行多元逐步回归线性分析建立大麦萌发期抗旱性评价数学模型,D=0.036+0.392GR+0.382SH+0.233GP(R2=0.992)。【结论】吉33抗旱性最强,发芽率、苗高和发芽势可作为快速评价大麦萌发期抗旱性的关键指标。

关 键 词:大麦  萌发期  抗旱性  主成分分析  回归分析  
收稿时间:2019-04-01

Screening and Identification of Drought Resistance of Central Asian Barley Varieties at Germination Stage
REN Yi,WANG Xian,ZHANG Jin-shan,NIE Shi-hui,WU Gao-ming,GENG Hong-wei,FANG Fu-rong.Screening and Identification of Drought Resistance of Central Asian Barley Varieties at Germination Stage[J].Xinjiang Agricultural Sciences,2019,56(5):882-889.
Authors:REN Yi  WANG Xian  ZHANG Jin-shan  NIE Shi-hui  WU Gao-ming  GENG Hong-wei  FANG Fu-rong
Institution:1.Research Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091,China; 2.College of Agronomy, Key Laboratory of Agricultural Biological Technology, Xinjiang Agricultural University, Urumqi 830052, China; 3.Yumin Agricultural Science&Technology Extension Station, Yumin Xinjiang 834600, China
Abstract:【Objective】 In order to clarify the drought resistance characteristics of different genotypes of barley during germination period, the key indicators of drought resistance identification at the germination stage were screened, and the mathematical model of drought resistance research at the germination stage was established in the hope of providing theoretical guidance for the cultivation of drought-resistant barley varieties.【Method】In this study, the germination box culture in the artificial climate chamber was used to carry out the germination drought test on 12 parts of the introduced barley varieties in Central Asia with 20% PEG8000 solution, and the 7 growth indicators: the seed germination potential (GP), germination rate (GR), germination index (GI), the root number (RN), the root length (RL), seedling height (SH) and coleoptile length (CL ) of the corresponding material under the control and stress were measured.【Result】Taking the relative value of each index as the basis for measuring drought resistance during the germination period, the multivariate statistical analysis method was used to comprehensively evaluate the drought resistance of different barley varieties during the germination period. Under PEG stress, the indexes of the tested materials showed a downward trend compared with the control, and each index showed significant or extremely significant correlation with each other, indicating that the germination of barley was inhibited to varying degrees. The comprehensive evaluation by subordinate function method showed that there were significant differences among different barley varieties. Ji 33 had the strongest drought resistance, and Jiyin 2013-7-DM-088 had the weakest drought resistance. According to the principal component analysis, the seven individual indicators were converted into two independent factors, which represent 85.94% of the measured indicators. A mathematical model for evaluating drought resistance of barley at germination stage was established by multiple stepwise regression linear analysis, D=0.036+0.392GR+0.382SH+0.233GP (R2=0.992). 【Conclusion】Ji 33 has the strongest drought resistance, germination rate, seedling height and germination potential, which can be used as key indexes for rapid evaluation of drought resistance in barley germination period
Keywords:barley  germination  drought tolerance  principal components analysis  regression analysis  
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