【目的】研究玫瑰(Rosa rugosa Thunb.)不同品种单株产花量的年度稳定性问题。【方法】选用13个玫瑰品种,采用随机区组试验设计,4次重复,每小区10～12株,连续两年测定各品种的单株产花量,应用AMMI(additive main effects and multiplica...【目的】研究玫瑰(Rosa rugosa Thunb.)不同品种单株产花量的年度稳定性问题。【方法】选用13个玫瑰品种,采用随机区组试验设计,4次重复,每小区10～12株,连续两年测定各品种的单株产花量,应用AMMI(additive main effects and multiplicative interaction,又称为主效可加互作可乘)模型对连续两年的单株产花量的基因型、环境和基因型与环境(G×E)互作进行了探讨。【结果】基因型、环境及G×E互作的平方和分别占总平方和的65.610%、12.352%、22.038%,均达极显著水平,而误差仅占2.75×10-17%,参试品种的单株产花量在500～1500g;AMMI双标和排序图表明,紫云、玉盘、唐紫、唐粉、紫枝玫瑰、朱龙游空与2006年的环境互作为正,而与2007年的环境互作为负;赛西子、唐红、西子、紫芙蓉、朱紫双辉、紫雁、香刺果与2007年的环境互作为正,与2006年的环境互作为负。AMMI品种适应性分析显示,朱龙游空、唐紫和赛西子具有最佳适应性。【结论】AMMI模型很好地解释了玫瑰品种产量性状的基因型效应、环境效应和G×E互作效应。根据分析结果可以得出以下结论,单株产花量高且稳定的品种有西子、紫芙蓉和赛西子(1200～1800g),相对稳定的品种有玉盘、唐粉、紫枝玫瑰、紫云、紫雁和朱紫双辉(800～1150g),高产但较不稳定的品种有唐紫和朱龙游空(1700～2600g),产量低也不稳定的品种是唐红和香刺果(500～600g)。展开更多
The analysis of grey system, kriging interpolation, and integration selection index were employed to investigate the relationships between the flower yield/plant （FY） and 15 other quantitative traits of 20 rugosa ro...The analysis of grey system, kriging interpolation, and integration selection index were employed to investigate the relationships between the flower yield/plant （FY） and 15 other quantitative traits of 20 rugosa rose cultivars. The result showed that： The grey relational grade （GRG） of the number of flowers/plant （NF）, the number of branches/plant （NB）, the width of floral bud （WB）, and the weight/flower （WF） to the FY were larger （〉 0.5）; FY improved with the increase of NF and NB. Moreover, the indirect selection of either trait could not achieve improvement of FY. It is necessary to improve FY by multi-trait selection. The integration selection index （ISI） equation of FY was established with the characters NF, NB, WB, and WF： I= 0.3187x1 - 318.6x2 ＋ 670.1 x4 ＋ 6.3xa, index heritability = 0.8014, selective response of the integration breeding value = 245.8811. This will provide a theoretic basis for the genetic breeding of rugosa rose.展开更多
文摘【目的】研究玫瑰(Rosa rugosa Thunb.)不同品种单株产花量的年度稳定性问题。【方法】选用13个玫瑰品种,采用随机区组试验设计,4次重复,每小区10～12株,连续两年测定各品种的单株产花量,应用AMMI(additive main effects and multiplicative interaction,又称为主效可加互作可乘)模型对连续两年的单株产花量的基因型、环境和基因型与环境(G×E)互作进行了探讨。【结果】基因型、环境及G×E互作的平方和分别占总平方和的65.610%、12.352%、22.038%,均达极显著水平,而误差仅占2.75×10-17%,参试品种的单株产花量在500～1500g;AMMI双标和排序图表明,紫云、玉盘、唐紫、唐粉、紫枝玫瑰、朱龙游空与2006年的环境互作为正,而与2007年的环境互作为负;赛西子、唐红、西子、紫芙蓉、朱紫双辉、紫雁、香刺果与2007年的环境互作为正,与2006年的环境互作为负。AMMI品种适应性分析显示,朱龙游空、唐紫和赛西子具有最佳适应性。【结论】AMMI模型很好地解释了玫瑰品种产量性状的基因型效应、环境效应和G×E互作效应。根据分析结果可以得出以下结论,单株产花量高且稳定的品种有西子、紫芙蓉和赛西子(1200～1800g),相对稳定的品种有玉盘、唐粉、紫枝玫瑰、紫云、紫雁和朱紫双辉(800～1150g),高产但较不稳定的品种有唐紫和朱龙游空(1700～2600g),产量低也不稳定的品种是唐红和香刺果(500～600g)。
文摘The analysis of grey system, kriging interpolation, and integration selection index were employed to investigate the relationships between the flower yield/plant （FY） and 15 other quantitative traits of 20 rugosa rose cultivars. The result showed that： The grey relational grade （GRG） of the number of flowers/plant （NF）, the number of branches/plant （NB）, the width of floral bud （WB）, and the weight/flower （WF） to the FY were larger （〉 0.5）; FY improved with the increase of NF and NB. Moreover, the indirect selection of either trait could not achieve improvement of FY. It is necessary to improve FY by multi-trait selection. The integration selection index （ISI） equation of FY was established with the characters NF, NB, WB, and WF： I= 0.3187x1 - 318.6x2 ＋ 670.1 x4 ＋ 6.3xa, index heritability = 0.8014, selective response of the integration breeding value = 245.8811. This will provide a theoretic basis for the genetic breeding of rugosa rose.
