Scientia Agricultura Sinica ›› 2021, Vol. 54 ›› Issue (8): 1590-1598.doi: 10.3864/j.issn.0578-1752.2021.08.002

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

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 E-mail:qinhongde2002@163.com;jiaoch@hotmail.com

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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

Table 1

Mating patterns in partial NCII mating design"

母本
Female parents		 父本 Male parents
1 2 3 4 5 … 27 28 29 30
31 ×
32 × ×
33 × × ×
34 × × × ×
35 × × × × ×
36 * × × × × …
… * × × × … ×
… * × × … × ×
… * × … × × ×
60 × × × × ×
31 * × × × ×
32 * × × ×
33 * × ×
34 * ×
35 *

Table 2

Performance of heterosis and lint yield performance of parents and crosses"

性状
Traits		 平均值
Mean		 标准误
Standard error		 标准差
Standard variance		 峰度
Skewness		 偏度
Kurtosis		 最小值
Min		 最大值
Max
亲本皮棉产量Lint yield of parents (g/plot, n=60) 475.87 11.50 89.09 1.73 -1.03 168.93 630.95
组合皮棉产量Lint yield of crosses (g/plot, n=180) 567.01 5.26 70.53 -0.38 0.14 387.79 745.10
中亲优势HMP (%) 19.63 0.77 10.29 0.07 0.19 -8.12 45.74
超亲优势HHP (%) 8.47 0.87 11.68 0.26 0.01 -22.70 36.61

Fig. 1

Scatter plot of lint yield of 180 F1 crosses The slope of the dotted line is 1"

Table 3

Prediction accuracy of seven breeding target traits under three prediction methods"

预测方法
Prediction methods		 皮棉产量
Lint yield
[0.25]		 铃数
Boll numbers
[0.20]		 铃重
Boll weight
[0.14]		 衣分
Lint percent
[0.62]		 长度
Fiber length
[0.48]		 强度
Fiber strength
[0.60]		 马克隆
Micronaire
[0.48]
加性效应A 0.839a
(0.036)		 0.756 a
(0.060)		 0.738 a
(0.060)		 0.928 a
(0.017)		 0.905 a
(0.021)		 0.915 a
(0.053)		 0.891 a
(0.026)
一般配合力GCA 0.776b
(0.048)		 0.693 b
(0.120)		 0.706b
(0.067)		 0.870 b
(0.040)		 0.843 b
(0.028)		 0.852c
(0.068)		 0.841 b
(0.048)
中亲值MP 0.777b
(0.048)		 0.669b
(0.064)		 0.585c
(0.082)		 0.880 b
(0.019)		 0.843 b
(0.027)		 0.887 b
(0.021)		 0.823 b
(0.039)

Fig. 2

The prediction accuracy rate of the top 10% crosses by three methods A: Prediction by additive effect; GCA: Prediction by general combining ability; MP: Prediction by mid-parent value. The same as below"

Fig. 3

Prediction accuracy and prediction accuracy rate of the top 10% crosses for lint yield based on three methods and different crossing times a: Prediction accuracy; b: Prediction accuracy rate of the top 10% crosses"

Fig. 4

Prediction accuracy and prediction accuracy rate of the top 10% crosses for fiber length based on three methods and different crossing times a: Prediction accuracy; b: Prediction accuracy rate of the top 10% crosses"

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