...
首页> 外文期刊>Agricultural Sciences >Genotype by Environment Interaction Analysis for Tuber Yield of Potato (Solanum tuberosum L.) Using a GGE Biplot Method in Amhara Region, Ethiopia
【24h】

Genotype by Environment Interaction Analysis for Tuber Yield of Potato (Solanum tuberosum L.) Using a GGE Biplot Method in Amhara Region, Ethiopia

机译:环境相互作用分析的基因型,使用GGE Biplot方法在埃塞俄比亚阿姆哈拉地区马铃薯(Solanum tuberosum L.)的块茎产量

获取原文
           

摘要

Potato is one of the important crops grown in mid and high altitude areas of Ethiopia. Several potato genotypes have been introduced in different parts of this region. However, the stability and performance of these genotypes are not yet assessed. Therefore, the objective of this study was to determine the effect of genotype, environment and their interaction for tuber yield and identify stable potato genotypes. The study was conducted using eight potato genotypes in rainfed production season of years 2010 and 2011 at five potato growing locations in the region. Randomized complete block design with three replications was used for the experiment. Among the testing locations, the superior mean tuber yield (25.43 t/ha) was obtained at Adet while the inferior (13.89 t/ha) was at Injibara. Similarly, among the genotypes, CIP-396004.337 gave the highest mean tuber yield (25.66 t/ha), while CIP-395011.2 gave the lowest (17.78 t/ha). Combined ANOVA indicated that the main effects due to environments, genotypes and genotype by environment interaction were highly significant. The contribution of E, G and GEI to the total variation in tuber yield was about 47.11%, 8.83% and 44.07%, respectively. The GEI was further partitioned using GGE biplot model. The first two principal components obtained by singular value decomposition of the centered data of tuber yield explained 71.26% of the total variability caused by (G + GE). Out of these variations, PC1 and PC2 accounted 51.24% and 20.02% variability, respectively. GGE biplot view of this study identified Serinka as ideal testing location and CIP-396004.337 as ideal genotype for Amhara region in Ethiopia.
机译:马铃薯是埃塞俄比亚中高海拔地区重要的农作物之一。在该地区的不同地区已经引入了几种马铃薯基因型。但是,尚未评估这些基因型的稳定性和性能。因此,本研究的目的是确定基因型,环境及其相互作用对块茎产量的影响,并确定稳定的马铃薯基因型。这项研究是在2010年和2011年的雨育生产季节中,在该地区的五个马铃薯种植地点使用八种马铃薯基因型进行的。该实验使用具有三个重复的随机完整块设计。在测试地点中,Adet的平均块茎产量高(25.43 t / ha),而Injibara的平均块茎产量低(13.89 t / ha)。同样,在基因型中,CIP-396004.337的平均块茎产量最高(25.66吨/公顷),而CIP-395011.2的最低的平均产量(17.78吨/公顷)。组合方差分析表明,环境,基因型和环境相互作用对基因型的影响最为显着。 E,G和GEI对块茎产量总变化的贡献分别约为47.11%,8.83%和44.07%。 GEI使用GGE双线图模型进一步划分。通过块茎产量中心数据的奇异值分解获得的前两个主成分解释了由(G + GE)引起的总变异性的71.26%。在这些变化中,PC1和PC2分别占51.24%和20.02%的可变性。该研究的GGE双线图确定了Serinka是理想的测试地点,CIP-396004.337是埃塞俄比亚Amhara地区的理想基因型。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号