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菜豆种质资源荚壁纤维含量的测定与分析 被引量:1

Determination and Analysis of Fiber Content in Pod Wall of Viburnum Bean Germplasm Resources
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摘要 菜豆荚壁纤维(pod wall fiber,PWF)含量直接影响食荚菜豆的品质。为了研究菜豆种质资源的PWF含量差异,采用α-淀粉酶前处理,利用中性洗涤剂法测定了250份菜豆种质在荚绿熟期的PWF含量。结果表明,250份菜豆种质的PWF含量分布在12.5%~38.1%之间,其中PWF含量最高的种质是CIAT蓝,最低的是翻白眼,不同菜豆种质的PWF含量存在较大变异。采用SPSS聚类分析方法将250份菜豆种质按PWF含量分为3类,高PWF含量(31.1%~38.1%)10份,中PWF含量(22.3%~29.9%)53份,低PWF含量(12.5%~22.2%)187份;高PWF含量和中PWF含量的菜豆种质不适宜作为蔬菜食荚,而低PWF含量的菜豆种质品质更佳,可以作为蔬菜食荚。 The content of common bean pod wall fiber(PWF)can directly affect the quality of pod beans.In order to investigate the differences in PWF content of bean germplasm resources,this study adopted pretreatment withα-amylase and neutral detergent method to determine the content of pod wall fibers in 250 common bean germplasms during pod green ripening stage.The results showed that the PWF content of 250 common bean germplasms ranged from 12.5%-38.1%.Among them,the germplasm with the highest PWF content was‘CIAT blue’,and the lowest was‘rolled eyes’.There were bigger variation existed in PWF content of different common bean germplasm resources.Taking SPSS clustering analysis,this study divided 250 copies of kidney bean germplasms into 3 groups according to their PWF contents:10 copies had high content(31.1%-38.1%);53 copies had medium content(22.3%-29.9%);187 copies had low content(12.5%-22.2%).Those common bean germplasms with high PWF content and medium PWF content are not suitable for vegetable pods,while common bean germplasms with low PWF content have better quality and can be used as vegetable pods.
作者 秦向凯 冯国军 刘大军 刘畅 杨晓旭 闫志山 QIN Xiang-kai;FENG Guo-jun;LIU Da-jun;LIU Chang;YANG Xiao-xu;YAN Zhi-shan(College of Life Sciences,Heilongjiang University,Harbin 150080,Heilongjiang,China;College of Modern Agriculture and Ecological Environment,Heilongjiang University,Harbin 150080,Heilongjiang,China)
出处 《中国蔬菜》 北大核心 2020年第7期56-62,共7页 China Vegetables
基金 黑龙江省重大科技应用项目(GA19B102)。
关键词 菜豆 荚壁纤维 中性洗涤剂法 SPSS聚类分析 Phaseolus vulgaris L. Pod wall fiber Neutral detergent method SPSS clustering analysis
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