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Use of GGE biplot methodology for genetic analysis of yield and related traits in melon (Cucumis melo L.)

机译:GGE双蛋白方法对甜瓜产量和相关性状的遗传分析(Cucumis Melo L.)

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Dehghani, H., Feyzian, E., Jalali, M., Rezai, A. and Dane, F. 2012. Use of GGE biplot methodology for genetic analysis of yield and related traits in melon (Cucumis melo L.). Can. J. Plant Sci. 92: 77-85. A complete diallel cross experiment of six local Iranian melon populations (Eyvanaki, Abasali, Tashkandi, Hose-sorkh, Mashhadi and Mirpanji) and one cultivar (Ananasi) was conducted. Fruit number, average weight per fruit, yield and acceptable yield were re-evaluated using GGE biplot methodology. The two principal components of biplot explained 70,58,86 and 88% of total observed variation for yield, acceptable yield, average weight per fruit and fruit number per plant, respectively. Mirpanji had the highest GCA for yield, acceptable yield and average weight per fruit, but the highest negative GCA for fruit number per plant. Abasali showed the highest positive GCA for fruit number. Biplot analysis allowed a rapid and effective overview of general combining ability (GCA) and specific combining ability (SCA) effects of the populations, their performance in crosses, as well as grouping patterns of similar genotypes.
机译:Dehghani,H.,Feyzian,E.,Jalali,M.,Rezai,A.和Dane,F. 2012.使用GGE双升方法进行瓜瓜(Cucumis Melo L.)的产量和相关性状的遗传分析。能。 J.植物SCI。 92:77-85。进行了六个当地伊朗甜瓜人群的完整拨号交叉实验(Eyvanaki,Abasali,Tashkandi,Hose-Sorkh,Mirpanji)和一个品种(Ananasi)。使用GGE双批准方法重新评估果实数,每种水果的平均重量,产量和可接受的产率。双针的两个主要成分分别解释了70,58,86和88%的总量观察到的产率,可接受的产量,每株植物的果实数量的平均重量的变化。 Mirpanji具有最高的GCA,用于产率,可接受的产量和平均体重,每种植物的果实数最高的GCA。 Abasali显示出果实数的最高阳性GCA。双针分析允许快速有效地概述一般组合能力(GCA)和群体的特定组合能力(SCA)效应,它们在十字架中的性能以及类似基因型的分组模式。

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