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Genotype by Environment Interaction Analysis for Tuber Yield of Potato (<i>Solanum tuberosum</i>L.) Using a GGE Biplot Method in Amhara Region, Ethiopia 被引量:2
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作者 Mulugeta Gedif Dessalegn Yigzaw 《Agricultural Sciences》 2014年第4期239-249,共11页
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 g... 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. 展开更多
关键词 G GxE GEI ideal Environment ideal genotype
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北方粳型超级稻中籼粳杂交优势贡献的分子基础 被引量:4
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作者 高虹 林晗 +4 位作者 孙健 王嘉宇 马殿荣 唐亮 徐正进 《沈阳农业大学学报》 CAS CSCD 北大核心 2012年第4期394-400,共7页
在"理想株型与优势利用相结合"育种理论指导下,亚种间杂交为中国北方粳型超级稻增产做出了巨大贡献。以中国北方栽培粳稻品种为试材,利用籼粳特异性标记Indel与SSILP分析了不同年代与地区北方粳稻品种的籼型血缘的相对含量,... 在"理想株型与优势利用相结合"育种理论指导下,亚种间杂交为中国北方粳型超级稻增产做出了巨大贡献。以中国北方栽培粳稻品种为试材,利用籼粳特异性标记Indel与SSILP分析了不同年代与地区北方粳稻品种的籼型血缘的相对含量,结果表明,20世纪90年代以后育成品种籼型基因型频率显著增加。相关分析表明,籼稻血缘含量与每穗粒数存在显著的正相关性,与有效穗数存在显著的负相关性。进一步对籼粳杂交育成品种的8个产量与品质相关基因进行检测发现,育种家通过"选择"将控制穗粒数与粒重的籼稻增产基因GN1a、GS3部分固定于北方粳稻基因组中,淘汰了适口性差的籼稻高直链淀粉基因Waxy以及不符合北方农民收获习惯的籼稻落粒基因qSH1,同时保留了北方粳稻原有的理想株型基因DEP1,宽粒基因qSW5。本研究进一步明确了"籼粳杂交优势利用理论"的分子基础。 展开更多
关键词 籼粳杂交 理想株型 粳型超级稻 籼型基因频率 功能基因
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