基于新麦草BC1F1群体的饲草产量相关性状QTL分析

doi:10.11733/j.issn.1007-0435.2024.12.024

草地学报 ›› 2024, Vol. 32 ›› Issue (12): 3888-3895.DOI: 10.11733/j.issn.1007-0435.2024.12.024

• 研究论文 • 上一篇

基于新麦草BC₁F₁群体的饲草产量相关性状QTL分析

常宇冬¹, 云岚¹, 高志琦¹, 李珍¹, 马迎梅³, 韩峰¹

1. 内蒙古农业大学草业学院, 内蒙古呼和浩特 010011;
2. 草地资源教育部重点实验室, 内蒙古呼和浩特 010011;
3. 内蒙古农业大学沙漠治理学院, 内蒙古呼和浩特 010011

收稿日期:2024-05-07 修回日期:2024-06-13 发布日期:2024-12-14
通讯作者: 云岚,E-mail:yunlan@imau.edu.cn
作者简介:常宇冬(1998-),男,汉族,内蒙古呼伦贝尔人,硕士研究生,主要从事草种质资源与育种研究,E-mail:359734476@qq.com;
基金资助:
内蒙古自治区种业创新重大示范工程揭榜挂帅项目(2022JBGS00400303);国家自然科学基金面上项目(32371762)；内蒙古自治区自然科学基金重点项目(2023ZD07)资助

QTL Analysis of Forage Yield-related Traits Based on Psathyrostachys juncea BC₁F₁ Population

CHANG Yu-dong¹, YUN Lan¹, GAO Zhi-qi¹, LI Zhen¹, MA Ying-mei³, HAN Feng¹

1. College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Monglia 010011, China;
2. Key Laboratory of Grassland Resources of Education Ministry, Hohhot, Inner Monglia 010011, China;
3. College of Desert Governance, Inner Mongolia Agricultural University, Hohhot, Inner Monglia 010011, China

Received:2024-05-07 Revised:2024-06-13 Published:2024-12-14

摘要/Abstract

摘要： 为解析调控新麦草(Psathyrostachys juncea)饲草产量的遗传机制，深入开展新麦草产量相关性状的数量性状基因座(QTL)精细定位和分子标记育种，进而为提高和改良新麦草产量和育种工作奠定基础。基于新麦草F₁代群体构建的遗传连锁图谱。对两个亲本和307株回交子代群体产量相关性状进行表型观测，利用origin 2021软件对表型值进行频度分析检验，随后采用MapQTL 6.0软件进行QTL分析。结果发现：共检测到1个株高QTL，遗传贡献率为10.4%；8个分蘖数QTL，遗传贡献率为10.4%～11.7%；6个基丛径QTL，遗传贡献率为10.5%～11.3%；1个生殖枝数QTL，遗传贡献率为10.5%；7个叶长QTL，遗传贡献率为6.2%～7.2%；6个叶宽QTL，遗传贡献率为6.5%～7.2%；6个冠幅QTL，遗传贡献率为6.3%～7.4%。这7个性状分别定位于连锁群LG1，LG2，LG3，LG5和LG6上。本研究明确了各个QTL位点的遗传效应，为新麦草育种中产量性状的遗传改良提供指导。

关键词: 新麦草, 产量相关性状, QTL定位

Abstract: In order to analyze the genetic mechanism of regulating forage yield of Psathyrostachys juncea, QTL fine mapping and molecular marker breeding of yield-related traits of P. juncea were carried out in depth so as to lay a foundation for improving the yield and breeding of P.juncea. A genetic linkage map was constructed basing on the F₁ population of P.juncea. The yield-related traits of the two parents and 307 backcross progeny populations were observed, and the frequency analysis of the phenotypic values was performed using origin 2021 software. Finally, QTL analysis was performed using MapQTL6.0 software. The results showed that a total of 1 plant height QTL was detected, and the genetic contribution rate was 10.4%. There were 8 QTLs for tiller number, and the genetic contribution rate was 10.4%-11.7%. There were 6 QTLs for basal diameter, and the genetic contribution rate was 10.5%-11.3%. One QTL for reproductive branch number, the genetic contribution rate was 10.5%. The genetic contribution rate of 7 leaf length QTLs was 6.2%-7.2%. The genetic contribution rate of 6 leaf width QTLs was 6.5%-7.2%. Six QTLs for crown width explained 6.3%-7.4% of the phenotypic variation. These seven traits were located on the linkage groups LG1, LG2, LG3, LG5 and LG6, respectively. The above results clarified the genetic effects of each QTL locus and provided guidance for the genetic improvement of yield traits in P.juncea breeding.

Key words: Psathyrostachys juncea, Forage yield-related traits, QTL mapping

中图分类号:

Q786
S543

常宇冬, 云岚, 高志琦, 李珍, 马迎梅, 韩峰. 基于新麦草BC₁F₁群体的饲草产量相关性状QTL分析[J]. 草地学报, 2024, 32(12): 3888-3895.

CHANG Yu-dong, YUN Lan, GAO Zhi-qi, LI Zhen, MA Ying-mei, HAN Feng. QTL Analysis of Forage Yield-related Traits Based on Psathyrostachys juncea BC₁F₁ Population[J]. Acta Agrestia Sinica, 2024, 32(12): 3888-3895.

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基于新麦草BC₁F₁群体的饲草产量相关性状QTL分析

QTL Analysis of Forage Yield-related Traits Based on Psathyrostachys juncea BC₁F₁ Population

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