中国农业科学 ›› 2021, Vol. 54 ›› Issue (8): 1590-1598.doi: 10.3864/j.issn.0578-1752.2021.08.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

基于部分NCII设计的陆地棉F1表现预测

秦鸿德1(),冯常辉1,张友昌1,别墅1,张教海1,夏松波1,王孝刚1,王琼珊1,蓝家样1,陈全求1,焦春海2()   

  1. 1湖北省农业科学院经济作物研究所/农业农村部长江中游棉花生物学与遗传育种重点实验室,武汉 430064
    2湖北省农业科学院,武汉 430064
  • 收稿日期:2020-11-08 接受日期:2020-12-02 出版日期:2021-04-16 发布日期:2021-04-25
  • 通讯作者: 焦春海
  • 作者简介:秦鸿德,E-mail: qinhongde2002@163.com
  • 基金资助:
    国家重点研发计划(2016YFD0101408);湖北省农业科技创新中心创新团队项目(2019-620-000-001-01)

F1 Performance Prediction of Upland Cotton Based on Partial NCII Design

QIN HongDe1(),FENG ChangHui1,ZHANG YouChang1,BIE Shu1,ZHANG JiaoHai1,XIA SongBo1,WANG XiaoGang1,WANG QiongShan1,LAN JiaYang1,CHEN QuanQiu1,JIAO ChunHai2()   

  1. 1Institute of Cash Crops, Hubei Academy of Agricultural Sciences/Key Laboratory of Cotton Biology and Breeding in the Middle Reaches of the Yangtze River, Ministry of Agriculture, Wuhan 430064
    2Hubei Academy of Agricultural Sciences, Wuhan 430064
  • Received:2020-11-08 Accepted:2020-12-02 Online:2021-04-16 Published:2021-04-25
  • Contact: ChunHai JIAO

摘要:

【目的】探寻预测陆地棉F1表现的方法,降低育种成本,提高育种效率。【方法】采用60个陆地棉亲本,通过部分NCII交配设计,形成一个由亲本和180个F1杂交组合组成的部分NCII群体,用亲本加性效应(additive effect,A)、一般配合力(general combining ability,GCA)和表型中亲值(mid-parent value,MP)等3种预测方法对F1的产量和纤维品质性状进行预测。【结果】陆地棉皮棉产量杂种优势明显。皮棉产量正向中亲优势的组合占97.78%,中亲优势平均达19.63%;正向超亲优势的组合占79.44%,超亲优势平均达8.47%。3种预测方法对F1表现具有不同的预测效果,其中,以亲本加性效应对F1的表现预测效果最优,其对皮棉产量、铃数、铃重、衣分、纤维长度、纤维强度和马克隆值等7个目标性状预测精度(pearson相关系数)达到0.738—0.928。性状的加性方差分量和亲本杂交次数对预测效果有影响。加性方差分量越大,所有方法的预测精度都越高;随着每个亲本杂交次数的增加,加性效应预测和GCA预测的精度提高,但表型中亲值预测的效果基本无变化。【结论】陆地棉F1的表现可以通过利用包含亲本的部分NCII设计群体和亲本的加性效应进行有效预测,采用“大群体、少杂交”的策略可以在保持预测效果的同时降低预测的工作量。

关键词: 陆地棉, F1表现, 预测, 部分NCII设计

Abstract:

【Objective】Develop the method for predicting F1 performance of upland cotton, and reduce breeding cost and improve breeding efficiency. 【Method】A partial NCII population composed of 60 parents and 180 F1 crosses, and three prediction methods with parent additive effect (A), general combining ability (GCA) and mid-parent value (MP) were employed to predict F1 performance on yield and fiber quality traits. 【Result】The Heterosis of lint yield of upland cotton was obvious. All crosses showed 19.63% average mid-parent heterosis and 8.47% average over-parent heterosis. 97.78% and 79.44% crosses showed positive mid-parent heterosis and positive over-parent heterosis respectively. Three prediction methods showed different prediction effects for F1 performance. Prediction with additive effect of parents showed the highest prediction accuracy (pearson correlation coefficient, 0.738-0.928) for seven target traits,lint yield, boll numbers, boll weight, lint percentage, fiber length, fiber strength and micronaire value. The additive variance component of target traits and the crossing times for every parent influenced the prediction effect. The higher additive variance component, the higher the prediction accuracy of three methods; with the increase of crossing times of each parent, the prediction accuracy of A and GCA increased, but did not change for MP prediction. 【Conclusion】 The performance of upland cotton F1 can be effectively predicted by using additive effect of parents based on partial NCII design, and ‘large parent population and less crossing times’ is the preferable strategy to maintain reasonable prediction effect and reduce the workload.

Key words: Upland cotton, F1 performance, prediction, partial NCII design