甘蓝型油菜的品质性状综合评价
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国家现代农业产业技术体系(CARS–13);湖南省现代农业产业技术体系(湘农发[2019]26号)


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    摘要:

    采用变异系数、多样性指数对2018—2021年度360份甘蓝型油菜的10个品质性状进行多样性分析和性状差异分析;采用聚类分析、主成分分析、相关性分析和逐步回归分析对甘蓝型油菜的品质性状进行综合评价和鉴定指标筛选。结果表明:360份甘蓝型油菜种质的10个品质性状多样性指数为0.55~1.52,除硫苷含量、芥酸含量和花生烯酸含量外,其他性状的多样性指数均大于1.00;变异系数范围为9.79%~181.49%,含油量、蛋白质含量、油酸含量、亚油酸含量、亚麻酸含量多样性丰富;聚类分析把种质资源分为3个类群,第Ⅰ类群硫苷含量、芥酸含量平均值较低,而含油量、油酸含量较高,即整体满足“双低”的同时还兼顾高油酸和高含油量;第Ⅱ类群的硫苷含量、油酸含量较高,含油量较低;第Ⅲ类群含油量、油酸含量较低,但亚油酸含量、亚麻酸含量、芥酸含量整体高于前2个类群;主成分分析把10个性状归为4个主成分,累计贡献率为63.009%,表明4个主成分包含了品质性状的大部分信息;甘蓝型油菜品质性状的综合得分F值均值为1.039;相关性分析表明,8个品质性状(硫苷含量、蛋白质含量、软脂酸含量、油酸含量、亚油酸含量、亚麻酸含量、花生烯酸含量和芥酸含量)与F值呈显著相关,可以作为种质资源性状评价指标;油酸含量与含油量呈显著正相关,与蛋白质含量呈显著负相关;含油量、油酸含量和蛋白质含量可作为选育高品质油菜的初步判断标准。

    Abstract:

    In this study, we analysed the diversity characteristics and distribution laws of 10 quality traits of 360 Brassica napus from 2018 to 2021 to evaluate the quality traits of Brassica napus resources. Variation coefficients, Shannon- weaver information index cluster analysis, principal component analysis, correlation and regression analysis were comprehensively used to evaluate the relationship of characteristics and select important characteristics. The diversity index of quality traits of 360 Brassica napus germplasm ranged from 0.55 to 1.52. They were all greater than 1.00 except for contents of glucosinolate, erucic acid and arachidonic acid. And the coefficient of variation ranges from 9.79% to 181.49%. The diversities of oil, protein, oleic acid, linoleic acid and linolenic acid contents were rich. Cluster analysis divided the germplasm resources into three groups: the first group had lower average values of glucosinolate and erucic acid contents, but higher oil and oleic acid contents, that was, it met the “double low” as a whole, and then considered both high oleic acid and high oil content. The second group had higher glucosinolate and oleic acid contents and lower oil content. The third group had lower oil and oleic acid contents, but the contents of linoleic acid, linolenic acid and erucic acid were higher than the first two groups. Principal component analysis classified 10 traits into four principal components, and the cumulative contribution rate was 63.009%, indicating that the four principal components contained most of the information of quality traits. The average F value of the comprehensive score of quality traits in Brassica napus was 1.039. The correlation analysis showed that 8 quality traits(contents of glucosinolate, protein, palmitic acid, oleic acid, linoleic acid, linolenic acid, arachidonic acid and erucic acid) were significantly correlated with F value, which indicated that the eight quality traits could be selected as evaluation indexes of germplasm resources. Oleic acid content was significantly positively correlated with oil content and negatively correlated with protein content, which indicated oil content, oleic acid and protein could be used as the preliminary judgment criteria for breeding new high-quality rape varieties.

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常涛,官梅,官春云.甘蓝型油菜的品质性状综合评价[J].湖南农业大学学报:自然科学版,2022,48(6):.

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  • 在线发布日期: 2022-12-17
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