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胡雯媚,王思宇,樊高琼,刘运军,郑 文,王强生,马宏亮.西南麦区小麦品种苗期抗旱性鉴定及其指标筛选[J].麦类作物学报,2016,36(2):182
西南麦区小麦品种苗期抗旱性鉴定及其指标筛选
Analysis on the Drought Resistance and Screening of Drought Resistance Appraisal Indexes of Wheat Cultivars in Seedling Stage in Southwest Area
  
DOI:10.7606/j.issn.1009-1041.2016.02.08
中文关键词:  小麦  苗期  抗旱性  隶属函数  聚类分析  逐步回归
英文关键词:Wheat  Seedling stage  Drought resistance  Membership function  Cluster analysis  Regression analysis
基金项目:四川省育种攻关项目(2011NZ0098-15-3);国家公益性行业(农业)科研专项(201503127)
作者单位
胡雯媚,王思宇,樊高琼,刘运军,郑 文,王强生,马宏亮 ( 四川农业大学农学院/农业部西南作物生理生态与耕作重点实验室四川成都 611130) 
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中文摘要:
      为了解西南麦区小麦品种苗期抗旱性和筛选适宜鉴定指标,利用盆栽和大田干旱棚2种栽培方式,对西南地区42个小麦品种进行自然干旱胁迫。盆栽试验测定苗期叶面积(X1)、苗高(X2)、根长(X3)、地上部干重(X4)、地下部干重(X5)、全株干重(X6)、根冠比(X7)、植株含水率(X8)、离体叶片失水速率(X9)、叶绿素含量(X10)等10个指标,大田控水试验于收获期测定株高(X11)、小穗数(X12)、穗长(X13)、单株成穗数(X14)、单穗重(X15)、单株产量(X16)等6个指标。以各指标的抗旱系数作为衡量抗旱性的依据,运用加权隶属函数、聚类分析、逐步回归等方法对小麦抗旱性进行综合评价及分类。结果表明,42个小麦品种可划分为水分敏感、弱抗旱、中度抗旱和强抗旱4种抗旱类型,分别包括3、23、13和 3个品种。以苗期和收获期16个指标的抗旱系数为基础,利用逐步回归方法建立了小麦苗期抗旱性评价回归模型:D1=-1.593+0.152X1+0.293X2+0.256X3+0.151X5+0.426X6+0.107X7+0.958X12+0.085X14+0.056X15+0.205X16,R=0.998 8,平均拟合精度99.23%;利用苗期10个指标的抗旱系数进行逐步回归分析建立小麦苗期抗旱性评价回归模型:D2=-0.677+0.218X1+0.481X3-0.803X4+0.230X5+1.232X6,R=0.674 0,平均拟合精度88.50%,表明用苗期性状结合产量性状评判小麦抗旱性更为可靠准确。
英文摘要:
      The objectives of this study were to evaluate the drought resistance and screen indexes for 42 wheat cultivars seedlings in the southwest of China. Natural drought stress was performed by pot culture and field cultivation.Then 10 traits leaf area (X1), seedling height (X2), root length (X3, shoot dry weight (X4), root dry weight (X5), the whole plant dry matter accumulation (X6), root shoot ratio (X7), plant water content (X8), containing excised-leaf water loss rate (X9), chlorophyll content (X10) of wheat cultivars cultured in pot and 6 indicators obtaining plant height (X11), spikelet number (X12), spike length (X13), panicle number per plant (X14), single spike weight (X15), yield per plant (X16) of wheat cultivars cultivated in field in harvest time were measured. Comprehensive assessment on drought resistance and classification of these wheat cultivars were implemented by using weighted membership function, clustering analysis and stepwise regression based on every index of drought resistance coefficient. The results suggested that:42 wheat cultivars were divided into four drought-tolerant types by cluster analysis, 3 of the 42 varieties were drought-sensitive type, 23 varieties were weak drought-resistance type, 13 were medium drought-resistance type, and 3 were high drought-resistance type. A mathematical evaluation model for wheat drought tolerance was established that containing 16 drought resistance coefficients of seeding stage and harvest period by means of regression analysis, and D1=-1.593+0.152X1+0.293X2+0.256X3+0.151X5+0.426X6+0.107X7+0.958X12+0.085X14+0.056X15+0.205X16R=0.998 8. Average fittingaccuracy of all varieties were 99.23%.A mathematical evaluation model for wheat drought tolerance was established that containing 10 drought resistance coefficients of seeding stage by means of regression analysis, and D2=-0.677+0.218X1+0.481X3-0.803X4+0.230X5+1.232X6,R=0.674 0. Average fittingaccuracy of all varieties were 88.50%. The drought resistance in wheat seedling stage significantly associated with the indexes in harvest period. It is more dependable to evaluate the drought resistance uniting the seeding and yield trait.
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