基于单因素方差分析的埃及棉优良基因型选择

Hatem Edris, Hasan El-Adly
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引用次数: 0

摘要

本研究的目的是通过使用单因素方差分析代替目前使用的随机完全区组设计,在棉花研究所育种部门的研究项目中选择(Trail a)中使用的埃及棉花优良基因型的方法。2018年,在Bani soif省(Sids研究站)采用随机完全区组设计,采用6个重复,培养了来自17个新种源(Gossypium barbadense L.)的38个家系,以及代表对照的4个基因型,即(G90 x CB58)、[(G83 x G80) x G89] x Australian、G95和G90。利用6个重复的资料,研究了50铃的两个产量特性和重量。在单次重复实验中,对工艺特性、纤维长度、均匀度、成熟度、马克隆值、颜色、纱线强力和绒率进行了研究。进行随机完全区组设计分析。结果表明,这些性状在不同处理间存在显著差异。进行单因素方差分析。该方法能够分析所有产量数据和技术性状。结果表明,不同产地的棉纱除纤维长度和纱线强力等工艺特征外,在成品率特征上也存在显著差异。结果还表明,单因素方差分析方法优于随机完全块设计分析方法,能够分析所有研究性状,并确定产量或技术性状显著优于对照组的来源。该研究有助于在棉花育种部门(试验a)的项目中引入一项发展,该项目使用了选择明显优于对照组的种源方法的统计基础,以提高选择将被纳入(试验B)项目以在上埃及各省进行评估的种源的准确性。
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SELECTION OF ELITE EGYPTIAN COTTON GENOTYPE BASED ON ONE-WAY ANOVA
The objective of the current study was to examine a method for selecting elite Egyptian cotton genotypes used in (Trail A) within the research program in the Breeding Section of the Cotton Research Institute by using one-way ANOVA instead of the currently used randomized complete block design. 38 families from 17 new origins ( Gossypium barbadense L.) were cultivated in addition to four genotypes representing the control, namely (G90 x CB58), [(G83 x G80) x G89] x Australian, G95 and G90 in a randomized complete block design with six replicates in Bani Sowif Governorate (Sids Research Station) during 2018 season. The two yield characteristics and weight of 50 bolls were studied using data of six replicates. The technological characteristics, fiber length, uniformity ratio, maturity, micronaire value, color, yarn strength and lint percent were studied using only one replicate data. Analysis of randomized complete block design was performed. The results showed significant differences among the treatments for these traits. Analysis of one-way ANOVA was performed. This method was able to analyze all yield data and technological traits. The results revealed that there were significant differences among the origins for the yield characteristics, in addition to the technological characteristics, namely fiber length and the yarn strength. The results also showed that the method of one-way ANOVA surpassed the method of analysis using randomized complete block design, as it was able to analyze all the studied traits, and determine the origins that were significantly superior to the control group in yield or technological traits. This study is useful for introducing a development in the program of the Cotton Breeding Section (Trail A) using the statistical foundations in the method of selecting origins that were significantly superior to the control group to increase the accuracy of selecting the origins that will be included in the (Trial B) program for evaluation in the Upper Egypt Governorates.
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