Inbreeding depression in maize populations and its effects on the obtention of promising inbred lines

被引:2
|
作者
Garbuglio, Deoclecio Domingos [1 ]
de Miranda Filho, Jose Branco [2 ]
de Araujo, Pedro Mario [1 ]
Gerage, Antonio Carlos [1 ]
机构
[1] IAPAR, Inst Agron Parana, Area Melhoramento & Genet Vegetal, Londrina, PR, Brazil
[2] Univ Sao Paulo, Dept Genet, Escola Super Agr Luiz de Queiroz, Piracicaba, SP, Brazil
来源
SEMINA-CIENCIAS AGRARIAS | 2017年 / 38卷 / 05期
关键词
Zea mays L; Linear regression; Selfing; SILKING; CORN;
D O I
10.5433/1679-0359.2017v38n5p2981
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Inbreeding can potentially be used for the development of inbred lines containing alleles of interest, but the genetic causes that control inbreeding depression are not completely known, and there are few studies found in the literature. The present study aimed to obtain estimates of inbreeding depression for eight traits in seven tropical maize populations, analyze the effects of inbreeding over generations and environments, and predict the behavior of inbred lines in future generation S infinity through linear regression methods. It was found that regardless of the base population used, prediction values could vary when the model was based on only 2 generations of inbreeding due to the environmental component. The influence of the environment in this type of study could be reduced when considering 3 generations of inbreeding, allowing greater precision in predicting the phenotypes of inbred lines. The use of linear regression was effective for inbred line prediction for the different agronomic traits evaluated. The use of 3 levels of inbreeding minimizes the effects of the environmental component in inbred line prediction for grain yield. GO-S was the most promising population for inbred line extraction.
引用
收藏
页码:2981 / 2994
页数:14
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