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New methods to assess cotton varietal stability and identify discriminating environments.

机译:评估棉花品种稳定性和鉴别环境的新方法。

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摘要

Studies were conducted in 2001--2004 evaluating genotype by environment interactions in cotton (Gossypium hirsutum L.). Genotype by Environment interactions were characterized using GGE Biplot for conventional cotton cultivars and their transgenic derivatives. Significant interactions existed for several non-target traits. Transgenic cultivars were taller, had greater height to node ratios, larger seed, and lower lint percentages. Transgenic cultivars containing the Bollgard gene yielded more than their conventional parents and STV4691B was the highest yielding, most stable cultivar. In 2002--2004, GGE Biplot was used to identify two levels (high/low) of discriminating locations for three distinct selection criteria. Crosses were made with parents recommended by a least squares means analysis for each population criteria and F 2 plants were planted in the high and low discriminating locations for each population. Gains by selection (h2) were calculated by regressing the F2:3 plants on their F2 parents. Genotypic variance was greater among F2:3 progeny in discriminating environments compared to non-discriminating environments, regardless of population. Heritability was greater in the population containing fiber traits compared to yield. In 2004, GGE Biplot was compared to other widely-accepted stability analysis tools. Correlation coefficients between GGE biplot (stability evaluation) and the Cultivar Superiority Measure, Shukla's Stability Variance, the Eberhart-Russell regression model, Kang's yield stability statistic, and AMMI were 0.54, 0.91, 0.86, 0.63, and 0.55, respectively. Correlation coefficients between GGE biplot (mean performance + stability evaluation) and the Cultivar Superiority Measure, the Eberhart-Russell regression model, Kang's yield stability statistic, and AMMI were 0.95, 0.60, 0.85, and -0.33, respectively. Based on the results of this study and our experience using GGE Biplot, Model 3 with an entry-focused scaling is the most valuable analysis for breeders engaged in cultivar development. GGE Biplot was used with the 1993--2003 Louisiana Official Variety Trials to identify the most desirable (discriminating and representative) test locations in Louisiana for yield and fiber length. St. Joseph loam was ranked 1 st for yield, Winnsboro irrigated was ranked 1st for fiber length, and St. Joseph loam was ranked 1st to simultaneously select for both traits. Winnsboro non-irrigated should not be used to select for yield or fiber length.
机译:2001--2004年进行了研究,通过环境相互作用对棉花(Gossypium hirsutum L.)使用GGE Biplot表征常规棉花品种及其转基因衍生物的环境相互作用基因型。存在一些非目标性状的显着相互作用。转基因品种较高,具有更高的株高比,更大的种子和更低的皮棉百分比。含有Bollgard基因的转基因品种比常规亲本的产量更高,而STV4691B是产量最高,最稳定的品种。在2002--2004年,GGE Biplot用于识别三个不同选择标准的区分位置的两个级别(高/低)。通过最小二乘均值分析建议的父母对每个种群标准进行杂交,并在每个种群的高低区分位置种植F 2植物。通过使F2:3植物在其F2亲本上回归来计算选择获得的收益(h2)。与非歧视性环境相比,在歧视性环境中,F2:3后代中的基因型差异更大,而与种群无关。与产量相比,含有纤维性状的种群的遗传力更大。 2004年,GGE Biplot与其他广泛接受的稳定性分析工具进行了比较。 GGE双图(稳定性评估)与品种优势测度,舒克拉的稳定性方差,Eberhart-Russell回归模型,康氏的产量稳定性统计量和AMMI之间的相关系数分别为0.54、0.91、0.86、0.63和0.55。 GGE双图(平均性能+稳定性评估)与品种优势测度,Eberhart-Russell回归模型,Kang的产量稳定性统计数据和AMMI之间的相关系数分别为0.95、0.60、0.85和-0.33。根据这项研究的结果以及我们使用GGE Biplot的经验,对于进入品种开发的育种者来说,具有针对入门级缩放的Model 3是最有价值的分析。 GGE Biplot与1993--2003年路易斯安那州正式品种试验一起使用,以确定产量和纤维长度在路易斯安那州最理想的(区分性和代表性)测试地点。同时选择两种性状的St. Joseph壤土的产量排名第1,Winnsboro灌溉的纤维长度排名第1,St。Joseph壤土排名第1。非灌溉的Winnsboro不应用于选择产量或纤维长度。

著录项

  • 作者单位

    Louisiana State University and Agricultural & Mechanical College.;

  • 授予单位 Louisiana State University and Agricultural & Mechanical College.;
  • 学科 Agriculture Agronomy.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 92 p.
  • 总页数 92
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学(农艺学);
  • 关键词

  • 入库时间 2022-08-17 11:42:27

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