Sorghum [<i><span style="font-family:Verdana;">Sorghum bicolor</span></i><span style="font-family:Verdana;"> (L.) Moench] is a high-yielding, nutrient-use efficient, a...Sorghum [<i><span style="font-family:Verdana;">Sorghum bicolor</span></i><span style="font-family:Verdana;"> (L.) Moench] is a high-yielding, nutrient-use efficient, and drought tolerant crop that can be cultivated on over 80 per cent of the world’s agricultural land. However, a number of biotic and abiotic factors are limiting grain yield increase. Diseases (leaf and grain) are considered as one of the major biotic factors hindering sorghum productivity in the highland and intermediate altitude sorghum growing areas of Ethiopia. In addition, the yield performance of crop varieties is highly influenced by genotype × environment (G × E) interaction which is the major focus of researchers while generating improved varieties. In Ethiopia, high yielding and stable varieties that withstand biotic stress in the highland areas are limited. In line with this, the yield performance of 21 sorghum genotypes and one standard check were evaluated across 14 environments with the objectives of estimating magnitude G </span><span style="font-family:Verdana;">× E interaction for grain yield and to identify high yielder and stable genotypes across environments. The experiment was laid out using Randomized Complete Block Design with three replications in all environments. The combined analysis of variance across environments revealed highly significant differences among environments, genotypes and G × E interactions of grain yield suggesting further analysis of the G × E interaction. The results of the combined AMMI analysis of variance indicated that the total variation in grain yield was attributed to environments effects 71.21%, genotypes effects 4.52% and G × E interactions effects 24.27% indicating the major sources of variation. Genotypes 2006AN7010 and 2006AN7011 were high yielder and they were stable across environments and one variety has been released for commercial production and can be used as parental lines for genetic improvement in the sorghum improvement program. In general, this research study revealed the importance of evaluating sorghum genotypes for their yield and stability across diverse highland areas of Ethiopia before releasing for commercial production.</span>展开更多
【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
以2009年贵州省玉米新品种区域试验C组各承试点的产量为资料,应用AMMI(additive main effects and multiplicative interaction,又称为主效可加互作可乘)模型对小区产量的基因型、环境和基因型与环境(G×E)互作进行了探讨。结果表明...以2009年贵州省玉米新品种区域试验C组各承试点的产量为资料,应用AMMI(additive main effects and multiplicative interaction,又称为主效可加互作可乘)模型对小区产量的基因型、环境和基因型与环境(G×E)互作进行了探讨。结果表明:AMMI模型很好地解释了玉米新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AMMI双标图和分析结果可以得出以下结论:小区产量高且稳定的品种有C2、C6和C8(10.689～11.433kg),相对稳定的品种有C7、C10和CK(10.071～10.594kg),高产但较不稳定的品种有C3和C4(10.571～11.055kg),产量低也不稳定的品种是C1、C5和C9(9.543～10.157kg);试点E1、E5和E2的分辨力较强,E6、E7和E3的分辨力较弱。展开更多
文摘Sorghum [<i><span style="font-family:Verdana;">Sorghum bicolor</span></i><span style="font-family:Verdana;"> (L.) Moench] is a high-yielding, nutrient-use efficient, and drought tolerant crop that can be cultivated on over 80 per cent of the world’s agricultural land. However, a number of biotic and abiotic factors are limiting grain yield increase. Diseases (leaf and grain) are considered as one of the major biotic factors hindering sorghum productivity in the highland and intermediate altitude sorghum growing areas of Ethiopia. In addition, the yield performance of crop varieties is highly influenced by genotype × environment (G × E) interaction which is the major focus of researchers while generating improved varieties. In Ethiopia, high yielding and stable varieties that withstand biotic stress in the highland areas are limited. In line with this, the yield performance of 21 sorghum genotypes and one standard check were evaluated across 14 environments with the objectives of estimating magnitude G </span><span style="font-family:Verdana;">× E interaction for grain yield and to identify high yielder and stable genotypes across environments. The experiment was laid out using Randomized Complete Block Design with three replications in all environments. The combined analysis of variance across environments revealed highly significant differences among environments, genotypes and G × E interactions of grain yield suggesting further analysis of the G × E interaction. The results of the combined AMMI analysis of variance indicated that the total variation in grain yield was attributed to environments effects 71.21%, genotypes effects 4.52% and G × E interactions effects 24.27% indicating the major sources of variation. Genotypes 2006AN7010 and 2006AN7011 were high yielder and they were stable across environments and one variety has been released for commercial production and can be used as parental lines for genetic improvement in the sorghum improvement program. In general, this research study revealed the importance of evaluating sorghum genotypes for their yield and stability across diverse highland areas of Ethiopia before releasing for commercial production.</span>
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)。
文摘以2009年贵州省玉米新品种区域试验C组各承试点的产量为资料,应用AMMI(additive main effects and multiplicative interaction,又称为主效可加互作可乘)模型对小区产量的基因型、环境和基因型与环境(G×E)互作进行了探讨。结果表明:AMMI模型很好地解释了玉米新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AMMI双标图和分析结果可以得出以下结论:小区产量高且稳定的品种有C2、C6和C8(10.689～11.433kg),相对稳定的品种有C7、C10和CK(10.071～10.594kg),高产但较不稳定的品种有C3和C4(10.571～11.055kg),产量低也不稳定的品种是C1、C5和C9(9.543～10.157kg);试点E1、E5和E2的分辨力较强,E6、E7和E3的分辨力较弱。
