首页> 外文期刊>Agriculture, Forestry and Fisheries >Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State
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Analysis of Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State

机译:奥罗米亚州伯尔地区面包小麦(Triticum aestivum L.)基因型生长,产量和产量构成成分的遗传变异分析

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In Ethiopia, a number of improved bread wheat (Triticum aestivum L.) varieties have been released by different research centres. All of these varieties were, however, not evaluated in Bore District for growth, yield and yield components which are necessary for identification of adaptable varieties for this major wheat growing District. Field experiments was conducted in 2013/14 cropping season by utilizing 21 released varieties and 4 promising lines using Randomized Complete Block Design where genotypes were replicated three times and 14 characters were recorded. Results of the analysis of variance revealed that genotypes were differed significantly for all characters studied. Genotypic coefficient of variation (GCV) ranged from 4.59 (days to maturity) to 13.76% (grain yield per hectare), while phenotypic coefficient of variation (PCV) ranged between 5.03 (days to maturity) to 20.85% (grain yield per hectare). Heritability in broad sense and genetic advance as percent of mean (GAM) ranged from 33.33% (Tillers per plant) to 84.67% (Peduncle length) and 8.66% (Days to maturity) to 18.74% (grain yield per hectare), respectively. Grain yield per hectare was positively correlated with biological yield per plot and harvest index, but was negatively correlated with peduncle length both at genotypic and phenotypic level. The computed path coefficient for yield showed that days to maturity, number of productive tillers, and biological yield per plot, harvest index, and spike length had positive direct effect, while days to heading and grain filling period, had high negative direct effect at both genotypic and phenotypic levels. Generally, it has been observed the presence of variability among the genotypes studied and 18.74% grain yield gain is possible by exerting 5% selection intensity which can be exploited to improve yield in the District.
机译:在埃塞俄比亚,不同的研究中心已经发布了许多改良的面包小麦(Triticum aestivum L.)品种。但是,没有在Bore区对所有这些品种进行生长,产量和产量组成方面的评估,而这些对于确定该主要小麦种植区的适应性品种是必需的。在2013/14种植季节,通过使用随机完全区组设计利用21个已释放的品种和4个有希望的品系进行了田间试验,其中基因型被重复了3次,并记录了14个字符。方差分析的结果表明,所有研究的字符的基因型差异显着。基因型变异系数(GCV)范围从4.59(至成熟天数)至13.76%(每公顷谷物产量),而表型变异系数(PCV)介于5.03(至成熟天数)至20.85%(每公顷谷物产量)之间。广义上的遗传力和作为平均数(GAM)百分比的遗传进步分别从33.33%(每株分s)到84.67%(花梗长度)和8.66%(成熟天数)到18.74%(每公顷谷物产量)不等。在基因型和表型水平上,每公顷谷物产量与每块地的生物产量和收获指数呈正相关,但与花梗长度呈负相关。计算得出的产量路径系数表明,成熟天数,生产分till的数量以及每块地的生物产量,收获指数和穗长均具有正的直接影响,而抽穗和灌浆期的天数对两者均具有较高的负直接影响。基因型和表型水平。通常,已经观察到所研究的基因型之间存在变异性,通过施加5%的选择强度可以提高18.74%的谷物产量,该强度可用于提高该地区的产量。

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