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提高油菜杂交种的产量和含油量:来自系×测验种和SIIG方法的见解。

Enhancing yield and oil content in oilseed rape hybrids: Insights from line × tester and SIIG approaches.

作者信息

Hashemi Parastoo Sadat, Mohammadi Abdollah, Alizadeh Bahram, Mostafavi Khodadad, Amiri Oghan Hassan

机构信息

Department of Agronomy and Plant Breeding, Karaj Branch Islamic Azad University Karaj Iran.

Oil Crops Research Department, Seed and Plant Improvement Institute Agricultural Research, Education and Extension Organization (AREEO) Karaj Iran.

出版信息

Food Sci Nutr. 2024 Feb 16;12(5):3628-3641. doi: 10.1002/fsn3.4033. eCollection 2024 May.

DOI:10.1002/fsn3.4033
PMID:38726407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11077195/
Abstract

BACKGROUND

The production of high-oil-yielding hybrid varieties is a primary objective in oilseed rape ( L.) breeding programs. Biometric genetic experiments such as line × tester provide valuable insights into the genetic structure of traits associated with high oil yield.

METHODS

In this study, 21 winter hybrids of oilseed rape were evaluated, which were generated by crossing three restorers with seven CMS lines. The experiment was conducted using a line × tester experiment based on a completely randomized block design. Phenological, agronomic, yield, and oil yield components were assessed in this study. The ideal genotype selection index (SIIG) methodology was also employed to identify superior hybrids based on all studied traits simultaneously.

RESULTS

Significant differences were observed between the obtained hybrids and the check cultivars. Heritability analysis revealed that phenological traits were primarily controlled by additive effects, while agronomic and qualitative traits were mainly influenced by non-additive gene effects. Both broad-sense and narrow-sense heritability exhibited a wide range, underscoring the importance of genetic variance. Notably, the hybrids T1 × L5, T1 × L6, and T3 × L1 showed significant specific combining ability values of 394.74, 541.73, and 1236.79, respectively, making them the top specific combinations for increasing seed yield. Based on the SIIG index, hybrids T3 × L1, T1 × L5, T1 × L3, and T2 × L3 emerged as high-oil-yielding hybrids with desirable agronomic traits.

CONCLUSIONS

The identified superior hybrids by line × tester and SIIG approaches hold promise for the development of high-yielding oilseed rape cultivars with desirable agronomic traits in oilseed rape breeding programs.

摘要

背景

培育高油产量杂交品种是油菜育种计划的主要目标。诸如系×测验种等生物统计学遗传实验为与高油产量相关性状的遗传结构提供了有价值的见解。

方法

本研究对21个冬油菜杂交种进行了评估,这些杂交种由3个恢复系与7个细胞质雄性不育系杂交产生。实验采用基于完全随机区组设计的系×测验种试验。本研究对物候、农艺、产量和油产量构成因素进行了评估。还采用了理想基因型选择指数(SIIG)方法,以同时基于所有研究性状鉴定优良杂交种。

结果

在所获得的杂交种与对照品种之间观察到显著差异。遗传力分析表明,物候性状主要受加性效应控制,而农艺和品质性状主要受非加性基因效应影响。广义和狭义遗传力均表现出较宽的范围,突出了遗传变异的重要性。值得注意的是,杂交种T1×L5、T1×L6和T3×L1的特殊配合力值分别显著为394.74、541.73和1236.79,使其成为提高种子产量的最佳特殊组合。基于SIIG指数,杂交种T3×L1、T1×L5、T1×L3和T2×L3成为具有理想农艺性状的高油产量杂交种。

结论

通过系×测验种和SIIG方法鉴定出的优良杂交种有望在油菜育种计划中用于培育具有理想农艺性状的高产油菜品种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b84f/11077195/b8ce85520510/FSN3-12-3628-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b84f/11077195/b8ce85520510/FSN3-12-3628-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b84f/11077195/b8ce85520510/FSN3-12-3628-g001.jpg

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本文引用的文献

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Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches.利用基因型与性状以及基因型与产量-性状方法对油菜进行性状剖析和基因型选择。
Food Sci Nutr. 2023 Feb 28;11(6):3083-3095. doi: 10.1002/fsn3.3290. eCollection 2023 Jun.
2
Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG).利用理想基因型选择指数(SIIG)鉴定优良大麦基因型
Plants (Basel). 2023 Apr 29;12(9):1843. doi: 10.3390/plants12091843.
3
Heterosis Derived From Nonadditive Effects of the Homologs Coordinates Early Flowering and High Yield in Rapeseed ( L.).
同源基因非加性效应产生的杂种优势调控油菜花期提前和高产
Front Plant Sci. 2022 Feb 15;12:798371. doi: 10.3389/fpls.2021.798371. eCollection 2021.
4
Estimation of seed yield in oilseed rape to identify the potential of semi-resynthesized parents for the development of new hybrid cultivars.估算油菜的种子产量,以确定半合成亲本在培育新型杂交品种方面的潜力。
PLoS One. 2019 Apr 18;14(4):e0215661. doi: 10.1371/journal.pone.0215661. eCollection 2019.