USING BIPLOT ANALYSIS OF F1 FABA BEAN DIALLEL DATA TO PREDICT COMBINING ABILITY

M. Ibrahim, Zeinab E. Ghareeb
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Abstract

This study was carried out under insect cages during 2017/18 and 2018/19 seasons at Giza Research Station, ARC, Egypt to investigate the combining ability possibility prediction and relationship between biplot graph and Griffing of half diallel data, and to identify promising genotypes. Six parental faba bean genotypes and their half diallel crosses (15 F1’s) were evaluated under a randomized complete block design in three replications. The results reflected significant differences for both GCA and SCA in most traits, indicating the important role of both additive and dominant components in the inheritance. Meanwhile, Baker’s ratio emphasized the preponderant role of additive gene action in controlling the most studied traits. Simple correlation results showed that seed yield may be raised through selecting most pods and seeds per plant, which recorded the highest heritability in broad and narrow sense (hb 2 and hn 2%) estimates coupled with highest genetic advance (GA %) in faba bean. Biplot graph (innovative) and Griffing (traditional) analysis exhibited equivalent results for gca and sca effects and are meaningful for identifying Giza 843 (P1), Misr 1 (P2) and Giza 40 (P6) as the best parents and Giza 843 x Misr 1 (C12), Giza 843 x Nubaria 1 (C15), Misr 1 x Giza 3 (C24), Giza 716 x Nubaria 1 (C35) and Nubaria 1 x Giza 40 (C56) as promising five crosses. Then, GT-biplot method is considered as the best alternative analysis for giving a complete picture about the interrelationships among genotypes and traits (for relative comparing genotypes based on multiple traits). Hence, number of pods and seeds per plant traits could be used for the improvement of seed yield. Besides, five faba bean crosses were distinguished which possess genetic factors for high yield and highly promising to be employed in the development of high yielding populations of faba bean breeding programs.
利用双标图分析蚕豆双列杂交数据预测配合力
本研究于2017/18和2018/19季节在埃及ARC吉萨研究站的昆虫笼下进行,研究半双列杂交数据的配力、可能性预测和双图与Griffing的关系,并确定有前景的基因型。采用随机完全区组设计,分3个重复对6个亲本蚕豆基因型及其半双列杂交(15个F1)进行评价。结果表明,GCA和SCA在多数性状上均存在显著差异,说明加性组分和显性组分在遗传中都起着重要作用。同时,贝克比值强调了加性基因作用在控制大多数研究性状中的优势作用。简单相关结果表明,选择单株荚果和种子最多的品种可提高籽粒产量,其广义和狭义遗传力估计最高(hb 2和hn 2%),遗传推进率最高(GA %)。双标图(创新)和Griffing(传统)分析显示出gca和sca效应的等效结果,对于确定吉萨843 (P1)、Misr 1 (P2)和吉萨40 (P6)为最佳亲本,吉萨843 × Misr 1 (C12)、吉萨843 × Nubaria 1 (C15)、Misr 1 ×吉萨3 (C24)、吉萨716 × Nubaria 1 (C35)和Nubaria 1 ×吉萨40 (C56)为有前景的5个杂交组合具有重要意义。因此,gt -双标图法是全面了解基因型与性状之间相互关系的最佳替代分析方法(用于基于多个性状的基因型相对比较)。因此,单株荚果数和种子数性状可用于提高种子产量。此外,还鉴定出5个具有高产遗传因子的蚕豆杂交组合,在蚕豆育种计划的高产群体开发中具有很大的应用前景。
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