基于小黑麦RIL群体的草产量相关性状QTL分析

doi:10.11733/j.issn.1007-0435.2023.03.010

草地学报 ›› 2023, Vol. 31 ›› Issue (3): 710-718.DOI: 10.11733/j.issn.1007-0435.2023.03.010

基于小黑麦RIL群体的草产量相关性状QTL分析

郭蕊, 金星娜, 常丹丹, 杜文华

甘肃农业大学草业学院/草业生态系统教育部重点实验室/甘肃省草业工程实验室/中-美草地畜牧业可持续发展研究中心, 甘肃兰州 730070

收稿日期:2022-10-10 修回日期:2022-11-14 出版日期:2023-03-15 发布日期:2023-04-01
通讯作者: 杜文华,E-mail:duwh@gsau.edu.cn
作者简介:郭蕊(1995-),女,汉族,甘肃漳县人,硕士研究生,主要从事草种质资源及育种栽培研究,E-mail:1603688492@qq.com
基金资助:
国家重点研发计划（2018YFD0502402-3）；国家自然科学基金项目（31760702）；甘肃省草地畜牧业可持续发展创新团队项目（2017C-11）资助

QTL Analyses of Forage Yield-related Traits Using the Recombinant Inbred Line Populations of Triticale

GUO Rui, JIN Xing-na, CHANG Dan-dan, DU Wen-hua

College of Pratacultural Science/Gansu Agricultural University/Key Laboratory of Grassland Ecosystem of Education Ministry/Sino-U. S. Centers for Grazingland Ecosystem Sustainability, Lanzhou, Gansu Province 730070, China

Received:2022-10-10 Revised:2022-11-14 Online:2023-03-15 Published:2023-04-01

摘要/Abstract

摘要： 为解析调控小黑麦（Triticosecale Wittmack）草产量的遗传机制，本研究以‘甘农7号’小黑麦与‘石大1号’小黑麦构建的F₆代重组自交系（RIL）群体为材料，利用小黑麦RIL群体分子图谱，结合株高、分蘖数、穗下节间长和单株鲜重的表型值，进行QTL分析。共检测到5个株高QTL，分布在连锁群LG1，LG3，LG4，LG6上，遗传贡献率为6.56%～12.86%；4个分蘖数QTL，分布在连锁群LG2，LG5，LG6，LG7上，遗传贡献率为7.11%～12.44%；3个穗下节间长QTL，分布在连锁群LG1，LG2，LG5上，遗传贡献率为7.69%～9.63%；4个单株鲜重QTL，分布在连锁群LG2，LG5，LG6，LG7上，遗传贡献率为9.65%～13.63%。其中，株高和分蘖数的主效位点为qPH6-1和qNT5-1，表型变异解释为12.86%和12.44%；单株鲜重的主效位点为qBS2-1和qBS6-1，表型变异解释率为12.17%和13.63%，二者累加对单株鲜重具有增加效应。本研究为饲用小黑麦生物产量的精细定位和分子辅助育种提供了重要理论支撑。

关键词: 小黑麦, RIL群体, 草产量相关性状, QTL定位

Abstract: To analyze the genetic mechanisms regulating the yield of forage triticale (Triticosecale Wittmack), this study used the F₆ generation recombinant inbred lines (RIL) population constructed from ‘Gannon No.7’ and ‘Shida No.1’ triticale as the material and conducted QTL analysis using the molecular map of the RIL population of triticale, combined with the phenotypic values of plant height, the number of tillers, internode length under spike and biomass of the single plant. A total of five QTLs for plant height were detected in this study, which distributed on LG1, LG3, LG4, and LG6, with genetic contributions rate from 6.56% to 12.86%;four QTLs for tiller number, distributed on LG2, LG5, LG6, and LG7, with genetic contributions rate from 7.11% to 12.44%;three QTLs for internode length under spike, distributed on LG1, LG2, and LG5, with genetic contributions rate from 7.69% to 9.63%;four QTLs for biomass of the single plant, distributed on LG2, LG5, LG6, LG7, with genetic contribution rate from 9.65% to 13.63%. Among them, the main effect loci of plant height and number of tillers are qPH6-1 and qNT5-1, holding the explanations rate of phenotypic variation at 12.86% and 12.44%;the main effect loci of fresh weight per plant are qBS2-1 and qBS6-1, the explanation rates of phenotypic variation at 12.17% and 13.63%, and the addition of the main effect loci of plant height and number of tillers to the main effect loci of fresh weight per plant had an increasing effect on the fresh weight of a single plant. This study provides important theoretical fundament for the fine mapping and molecular-assisted breeding of the forage yield of triticale.

Key words: Triticale, RIL population, Forage yield-related traits, QTL mapping

中图分类号:

郭蕊, 金星娜, 常丹丹, 杜文华. 基于小黑麦RIL群体的草产量相关性状QTL分析[J]. 草地学报, 2023, 31(3): 710-718.

GUO Rui, JIN Xing-na, CHANG Dan-dan, DU Wen-hua. QTL Analyses of Forage Yield-related Traits Using the Recombinant Inbred Line Populations of Triticale[J]. Acta Agrestia Sinica, 2023, 31(3): 710-718.

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基于小黑麦RIL群体的草产量相关性状QTL分析

QTL Analyses of Forage Yield-related Traits Using the Recombinant Inbred Line Populations of Triticale

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