硬粒小麦增产选育程序的构建

I. S. Abdel-Latif, M. N. Abd EL-Kader, Mousa S. Salous
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引用次数: 0

摘要

本研究的目的是估算和比较选择指数Smith-Hazel模型与直接选择所获得的遗传增益,以提高硬粒小麦群体早分离代优势有希望家族的选择效率。通过产量及其构成要素的选择指标,对直接选择和间接选择两种选择方法进行了评价。比较f2、f3、f4、f5 4代不同性状的平均性能,发现f2 ~ f5代大部分性状的平均性能增加,但受环境因素影响有个别例外。在f2代所研究的所有性状中,PCV和GCV的量级普遍大于f3、f4和f5,这表明该材料中持续存在的遗传变异的量级足以通过选择优质后代提供相当大的改进。大多数被研究性状的遗传率高于50%,这表明遗传变异性很大,在早期世代中选择可能成功。11个选择指标中有9个比直接选择更有效地提高f2群体的GY/P。在选择指数(I W123)之后,再选择指数(I W2)和选择(I W12)、(I W23)、(I W1)和(I W3), f2代对GY/P的预测遗传增益最高。从第三代开始,选择指数(I W123)、选择指数(I W12)和直接选择(I XW)的实际遗传增益最高。遗传增益预测值与实际遗传增益差异较大,如遗传增益比;这是由于遗传效应和环境因素的巨大影响之间的相互作用。在f3中直接选择(I XW),然后选择指数(I 123)时,f3和f4代的GY/P预测遗传进步最大。而在F3和F4代中,通过选择指数(I 123)、(I W2)和直接选择(I xw)获得的GY和P的实际遗传进步最大。从F3和F4代开始,实际遗传进步与预测遗传进步的偏差在大多数程序中显示为正值和大值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of some selection procedures for improvement of grain yield in durum wheat
The purpose of this study was to estimate and compare the genetic gain obtained from the Smith-Hazel index model of selection index with direct selection to enhance the selection efficiency of superior promising families in early segregating generations of the durum wheat population. Two methods of selection were evaluated, namely, direct selection and indirect selection, by the selection index in the yield and its components. A comparison of mean performances for different traits among the four generations (F 2 , F 3 , F 4 , and F 5 ) revealed an increase in mean values for most traits with advanced generations from F 2 to F 5 , with some exceptions due to environmental factors. PCV and GCV were generally larger in magnitude for all studied traits in the F 2 generation as compared with the advanced generations F 3 , F 4 , and F 5 , indicating that the magnitude of the genetic variability persisting in this material was sufficient for providing a rather substantial amount of improvement through the selection of superior progeny. High heritability values over 50% for most studied traits across generations indicate a high magnitude of genetic variability and possible success in selection in early generations. Nine out of eleven selection indices were more efficient than direct selection for improving GY/P in the F 2 population. The highest predicted genetic gain from F 2 generation for GY/P was observed when selection index (I W123 ) was followed by selection index (I W2 ) and by selections for (I W12 ), (I W23 ), (I W1 ), and (I W3 ). Selection index (I W123 ), followed by I W12 and direct selection (I XW ), gave the highest actual genetic gains from the third generation for trait GY/P. Most indices showed a high discrepancy between predicted and actual genetic gain as GY/P; this was due to the interaction between genetic effects and large effects of environmental factors. The maximum predicted genetic advance from F 3 and F 4 generations for GY/P was achieved when selecting directly (I XW ) in F 3 followed by selection indices (I 123 ). While maximum actual genetic advance from F3 and F4 generations for GY and P was achieved when using selection indices (I 123 ), followed by (I W2 ), and then direct selection (I xw ). Deviations of the actual genetic advance from the predicted advance from the F3 and F4 generations showed positive and large values in most procedures.
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