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作 者:熊洁[1] 丁戈[1] 陈伦林[1] 李书宇[1] 宋来强[1] XIONG Jie;DING Ge;CHEN Lun-in;LI Shu-yu;SONG Lai-qiang(Crops Research Institute,Jiangxi Academy of Agricultural Sciences/Nanchang Branch of National Center of OilcropsImprovement/Key Laboratory of Crop Ecophysiology and Farming System for the Middle and Lower Reaches of the YangtzeRiver,Ministry of Agriculture and Rural Affairs/Jiangxi Key Laboratory of Oilcrops Biology,Nanchang 330200,China)
机构地区:[1]江西省农业科学院作物研究所/国家油料改良中心南昌分中心/农业农村部长江中下游作物生理生态与耕作重点实验室/江西省油料作物生物学重点实验室,江西南昌330200
出 处:《江西农业学报》2024年第4期1-7,共7页Acta Agriculturae Jiangxi
基 金:江西省主要学科学术和技术带头人培养计划——青年人才项目(20204BCJ23014);江西省农业科学院基础研究与人才培养专项(JXSNKYJCRC202212)。
摘 要:以从江西省油菜主产区收集到的109个甘蓝型油菜品种(系)为材料,分析了不同密度条件下根茎粗、株高、角果层厚度、分枝数、主花序长、主花序角果数、结角密度、单株角果数、角果粒数、千粒重、角粒重、单位角果皮面积、单株生物量、经济系数、产量等性状的基因型差异,以各性状的耐密系数作为衡量耐密性的指标,利用主成分分析、隶属函数、聚类分析和逐步回归分析法,对不同基因型油菜进行了耐密性综合评价。结果表明,不同基因型油菜品种(系)各性状对密度的反应不同,基因型间差异显著。利用主成分分析法将15个单项指标综合成7个相互独立的综合指标,可代表油菜耐密性86.62%的原始数据信息量。通过隶属函数法得到了各品种的耐密性综合评价值(D),并对D值进行聚类分析,将109个油菜品种划分为4种耐密类型。通过建立耐密性评价的数学模型进行了耐密性预测,筛选出角果层厚度、主花序角果数、角果粒数、单位角果皮面积、经济系数、产量等6个对耐密性有显著影响的指标,可作为油菜耐密性的鉴定指标。A total of 109 rapeseed varieties collected from main producing areas of rapeseed in Jiangxi Province were used as materials,and the genotypic differences of rhizome thickness,plant height,thickness of pod layer,branch number,main inflorescence length,main inflorescence pod number,pod density,pod number per plant,seed number per pod,thousand-seed weight,seed weight per pod,pod peel area per unit,biomass per plant,economic coefficient and yield were investigated under different density conditions.The density tolerance coefficient of each character was used as the index to evaluate the density tolerance of different genotypes of rapeseed by principal component analysis,membership function method,cluster analysis and stepwise regression analysis.The results showed that different genotypes of rapeseed varieties(lines)had different responses to density,and the differences among genotypes were significant.The principal component analysis method was used to synthesize 15 individual indexes into 7 independent indexes,which could represent 86.62%of the original data information.Then,the comprehensive evaluation value(D value)of each variety was obtained by membership function method,and cluster analysis of D value was carried out.The 109 rapeseed varieties were divided into 4 types of density tolerance.A mathematical model was established to predict the density tolerance of rapeseed,and six indexes were selected as identification indexes of density tolerance of rapeseed,including the thickness of pod layer,main inflorescence pod number,seed number per pod,pod peel area per unit,economic coefficient and yield,which had significant influence on the density tolerance of rapeseed.
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