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首页> 外文期刊>Journal of Crop Improvement >Yield analysis of rapeseed (Brassica napus L.) under water-stress conditions using GGE biplot methodology.
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Yield analysis of rapeseed (Brassica napus L.) under water-stress conditions using GGE biplot methodology.

机译:使用GGE双线图方法分析了水分胁迫下油菜( Brassica napus L.)的产量。

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Identification of crop genotypes tolerant to drought stress will allow more extensive use of lands characterized as marginal because of water shortage in arid and semi-arid areas. Rapeseed (Brassica napus L.) is a dominant oilseed crop in Iran and has lower production risks compared with the other oilseed crops. Nine genotypes of rapeseed, including two Iranian cultivars and seven foreign, and their 36 F1 hybrids were used to determine the genetic parameters for seed yield under water-stress environment. Analysis of variance revealed significant differences for seed yield trait among studied genotypes under water-stress conditions. Genotypes differed significantly with respect to seed yield. In this paper, we used a GGE biplot approach of analyzing diallel design data. Parents SLM046, Okapi, and Orient had high positive GCAs, whereas parents Opera and Modena had negative GCAs in both years. Overall, the results of this study suggested that, within individual hybrid crosses, sufficient heterosis for yield existed to justify pursuing hybrid development in rapeseed. The SLM046 and Orient genotypes would be important for breeding programs designed for water-stress environments and in identifying drought-tolerant lines under arid and semi-arid conditions.Digital Object Identifier http://dx.doi.org/10.1080/15427528.2011.521919
机译:由于干旱和半干旱地区缺水,确定能够耐受干旱的农作物基因型将允许更广泛地利用边缘化土地。油菜籽(Brassica napus L.)是伊朗主要的油料作物,与其他油料作物相比,生产风险较低。利用油菜的9个基因型,包括2个伊朗品种和7个外来品种,及其36个F 1 杂种,确定了水分胁迫条件下种子产量的遗传参数。方差分析显示,在水分胁迫条件下,不同基因型的种子产量性状存在显着差异。基因型在种子产量方面差异显着。在本文中,我们使用了GGE双线图方法来分析Dialell设计数据。父母SLM046,霍加皮和东方的GCA均为高阳性,而歌剧和摩德纳的父母两年均为阴性。总体而言,这项研究的结果表明,在单个杂交杂交中,存在足够的产量杂种优势,足以证明在油菜籽中追求杂交发展。 SLM046和Orient基因型对于为干旱环境设计的育种计划以及在干旱和半干旱条件下识别耐旱品系至关重要。Digital Object Identifier http://dx.doi.org/10.1080/15427528.2011.521919

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