论文部分内容阅读
为了解不同基因型大豆花荚期抗旱表现,挖掘抗旱种质资源,在称重法人工控水条件下,通过干旱棚盆栽试验,在大豆植株的花荚期,测定22个品种(系)的茎粗、株高、分枝数等与抗旱相关的18个表型性状和生理生化指标,以各项指标的干旱胁迫系数作为衡量抗旱性的指标,利用隶属函数值法、主成分分析和聚类分析对其抗旱性进行综合评价,结果表明,在水分胁迫条件下,大豆花荚期形态和生理生化指标抗旱系数都存在一定的变异,且变异系数均大于10%。主成分分析结果显示,5个主成分累计贡献率为84.82%,可代表大豆抗旱性84.82%的原始数据信息,利用抗旱性度量值(D值)进行聚类,可将供试品种(系)划分为抗旱性强、中和弱3种类,晋大78、晋大74、晋大70和晋大73具有较强的抗旱能力,晋大75、扁茎豆、黑珍珠抗旱能力弱;其他15个品种(品系)具有中等抗旱能力。利用主成分分析与模糊聚类对大豆的抗旱性进行综合评价,可避免单一性状的片面性和不稳定性,为大豆抗旱性综合评价及抗旱品种选育提供一个较为有效的鉴定方法。
In order to understand the drought-resistance performance of different soybean genotypes during the flowering stage, the drought-resistant germplasm resources were excavated. The pots of 22 cultivars 18 phenotypic traits and physiological and biochemical indexes related to drought resistance, such as crude, plant height and branch number, were used as indicators to measure drought resistance. The membership function, principal component analysis and clustering The results showed that under the condition of water stress, the morphological and physiological and biochemical indexes of drought resistance of soybean at the stage of podding had some variation, and the coefficient of variation was more than 10%. The principal component analysis showed that the cumulative contribution rate of the five principal components was 84.82%, which could represent 84.82% of the original data of soybean drought resistance. Using the drought resistance measure (D value) for clustering, Divided into drought-resistant, moderate and weak 3 species, Jinda 78, Jinda 74, Jinda 70 and Jinda 73 have a strong ability to resist drought, Jin 75, flat stem beans, black pearl drought-resistant ability; other 15 A variety (strain) with moderate drought capacity. Comprehensive evaluation of drought resistance of soybean by principal component analysis and fuzzy clustering can avoid the unilateralism and instability of single trait and provide a more effective identification method for comprehensive evaluation of drought resistance and breeding of drought-resistant varieties.