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Strategies for the recurrent selection program in tobacco breeding for green leaf yield
Crop Science ( IF 2.0 ) Pub Date : 2022-07-14 , DOI: 10.1002/csc2.20813
Thaís Lima Marques 1 , José Maria Villela Padua 2 , Irving Joseph Berger 3 , Magno Antônio Patto Ramalho 4
Affiliation  

In conducting a recurrent selection (RS) program in tobacco (Nicotiana tabacum L.), inbred and noninbred progenies as well as double-haploid (DH) progenies can be used. There is also the possibility of recombining the selected progenies using half-sib (HS) or full-sib (FS) progenies. To choose the best RS strategy, the breeder's equation can be used. When using inbred progenies with an allelic frequency other than 50%, one of the genetic variance components is the genetic covariance between additive effects and homozygous dominance effects (D1). This component may present negative values and is part of the numerator in the equation for gain from selection (GS). Thus, the objective of this study was to estimate the genetic variance components in a tobacco population and compare the different strategies to conduct RS. From an RS population, HS, FS, and S1:2 inbred progenies were evaluated in different experiments. The dominance variance was null. In this condition, the estimate of D1 is not significant, meaning that D1 does not influence the GS in the RS program. With the obtained estimates, the GS was estimated for the seven different strategies for conducting the RS program. The use of DH lines in tobacco RS represents the best strategy. Other strategies allow expressive GS, such as the alternate use of inbred and FS progenies, for evaluation and FS progenies for recombination.

中文翻译:

烟草绿叶产量育种轮回选择方案的策略

在烟草 ( Nicotiana tabacum L.) 中进行轮回选择 (RS) 程序时,可以使用近交和非近交后代以及双单倍体 (DH) 后代。还有可能使用半同胞 (HS) 或全同胞 (FS) 后代重组所选后代。要选择最好的 RS 策略,可以使用育种者方程。当使用等位基因频率不是 50% 的近交后代时,遗传方差成分之一是加性效应和纯合显性效应之间的遗传协方差 ( D 1). 该组件可能呈现负值,并且是选择增益 (GS) 等式中分子的一部分。因此,本研究的目的是估计烟草种群中的遗传变异成分,并比较进行 RS 的不同策略。在不同的实验中对RS 种群、HS、FS 和 S 1:2近交后代进行了评估。优势方差为零。在这种情况下, D 1的估计不显着,这意味着D 1不影响RS程序中的GS。根据获得的估计值,GS 被估计用于执行 RS 程序的七种不同策略。在烟草 RS 中使用 DH 系代表了最佳策略。其他策略允许表达 GS,例如交替使用近交和 FS 后代,用于评估和 FS 后代用于重组。
更新日期:2022-07-14
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