埃塞俄比亚提格雷Tef(Eragrostis Tef(Zucc)Trotter)基因型的产量表现和参数稳定性统计

C. Nigus, Yanos G Mariam, Hailegbreal Kinfe, Brhanu Melese, Ataklty Mekonen
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引用次数: 3

摘要

四氟生产的最大制约因素是倒伏、干旱、产量低的品种;昆虫和疾病影响了聚四氟乙烯的生长。这些因素导致GEI导致性能收益率不一致。目的是评估tef基因型的产量表现、稳定性和参数稳定性,以选择最独立、最具信息性的统计方法。实验在四个地点进行,为期两个季节;RCBD设计三个重复、两个标准检查和19个tef基因型。收集了粮食产量数据,并用R软件和STABILITYSOFT进行了分析。对粮食产量组合平均值的方差分析表明,基因型、环境和GEI之间存在显著差异(P<0.001)。产量表现受到环境和GEI的影响。GEI以上基因型的平均粮食产量在820.94kg/ha至2438.90kg/ha之间,而基因型的粮食产量在1382至1989kg/ha之间。G19、G17和G6在7个环境中表现出较高的产量表现。而G8和G11是产量最低的tef基因型。采用9种参数法和GGE双标法对基因型的稳定性进行评价。G19是继G17之后最稳定的,并且将在不利的生长环境中生长。然而,G6在有利的环境条件下是稳定的。G19和G17具有静态稳定性,适用于降雨不稳定的地区。尽管参数稳定性与平均产量没有显示出正的和统计学上显著的相关性,但用GGE双标法选择平均方差分量(θi)来评估品种发育中的tef基因型。如果确定了大环境、有代表性和有鉴别性的测试区域,那么品种的有效选择将是最好的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grain Yield Performance and Parametric Stability Statistics of Tef {Eragrostis tef (Zucc) Trotter} Genotypes in Tigray, Ethiopia
The most constraints of tef productions are lodging, drought, low yield cultivars; insect and disease affected the growth of tef. These, factors causes inconsistence performance yield due to GEI. The objective was to evaluate tef genotypes on their yield performance, stability and parametric stability to select most independent and informative statistics method. The experiment was conducted at four locations for two seasons; with design of RCBD three replications, two standard checks and 19 tef genotypes. Data was collected on grain yield and analyzed by R software and STABILITYSOFT. The analysis of variance for the combined mean of grain yield showed that there was significance difference (P<0.001) between genotypes, environments and GEI. Yield performance was influenced by Environments and GEI. The mean grain yield of genotypes over GEI varies from 820.94kg/ha to 2438.90kg/ha, while the genotype grain yield was ranged from 1382 to 1989kg/ha. G19, G17 and G6 were identified the higher grain yield performance over seven environments. Whereas, G8 and G11 were the lowest yielding tef genotypes. Nine parametric methods and GGE biplot were used to evaluate the stability of the genotypes. G19 was the most stable following G17 and would be grown for unfavorable growing environments. However, G6 was stable for favorable environmental condition. G19 and G17 had static stability and fitting for area faced with erratic rain fall. Even though, parametric stability did not show a positive and statistically significant correlation with mean yield the Mean variance component (θi) is selected with GGE biplot for evaluation of tef genotypes in the development of cultivar. Effective selection of variety would be best if megaenvironment, representative and discriminating testing areas are identified.
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