Genetic analysis of fat content based on nested populations in peanut (Arachis hypogaea L.)
HUANG Bing-Yan,1,**, SUN Zi-Qi1,**, LIU Hua1, FANG Yuan-Jin1, SHI Lei1, MIAO Li-Juan1, ZHANG Mao-Ning1, ZHANG Zhong-Xin1, XU Jing1, ZHANG Meng-Yuan2, DONG Wen-Zhao1, ZHANG Xin-You,1,*1Henan Academy of Crops Molecular Breeding, Henan Academy of Agricultural Sciences/Graduate R & T Base of Zhengzhou University/Key Laboratory of Oil Crops in Huang-Huai-Hai Plans, Ministry of Agriculture and Rural Affairs/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou 450002, Henan, China 2College of Agriculture, Henan University of Science and Technology, Luoyang 471023, Henan, China
First author contact:**Contributed equally to this work Received:2020-06-24Accepted:2020-12-1Online:2021-06-12
Fund supported:
The China Agricultural Research System.CARS-13 The Henan Agricultural Research System.2016-05 The Key Scientific and Technological Project of Henan Province.201300111000
Abstract Nested populations can be used to dissect the heredity of complex traits. The genetic models of fat content of F2:3 families in nested combinations with one common parent and six founder parents were analyzed, aiming to detect the genetic differences among the founders and to provide bases for breeding strategy for fat content improvement in peanut kernels. The common parent was Yuhua 15, an irregular-type variety with high fat content, and the other six founder parents were different botanical varieties with different fat contents. The results showed that the genetic model of fat content traits was different in different combinations. Six crosses were in accordance with three genetic patterns, including none major gene model, one major gene model with additive and dominant effect, and two major genes model with equal additive and dominant effect. The estimated values of various genetic effects were also different. The heritability of the main genes ranged from 32% to 80%, indicating that the gene loci controlling the fat content and their segregation patterns were different in different F2:3 populations. There were more individuals with high fat content in the offspring from combinations with both parents of high fat content. However, the heritability was low and phenotypic selections for fat content were not suggested in the early generations in such combinations. The offspring from combinations with parents of significantly different fat content had a larger variation range in fat content, and phenotypes with variable fat content were available. In this study, the large variances in the nested populations demonstrated the genetic complexity of fat content and the characteristics of multi major gene regulation. These results provide a comprehensive base for understanding the genetics and regulation of fat content, and the nested populations will be helpful in further QTL detection of fat content in peanut. Keywords:peanut (Arachis hypogaea L.);nested populations;fat content;F2:3 family;inheritance model
PDF (350KB)元数据多维度评价相关文章导出EndNote|Ris|Bibtex收藏本文 本文引用格式 黄冰艳, 孙子淇, 刘华, 房元瑾, 石磊, 苗利娟, 张毛宁, 张忠信, 徐静, 张梦圆, 董文召, 张新友. 花生巢式群体的脂肪含量遗传分析[J]. 作物学报, 2021, 47(6): 1100-1108. doi:10.3724/SP.J.1006.2021.04138 HUANG Bing-Yan, SUN Zi-Qi, LIU Hua, FANG Yuan-Jin, SHI Lei, MIAO Li-Juan, ZHANG Mao-Ning, ZHANG Zhong-Xin, XU Jing, ZHANG Meng-Yuan, DONG Wen-Zhao, ZHANG Xin-You. Genetic analysis of fat content based on nested populations in peanut (Arachis hypogaea L.)[J]. Acta Agronomica Sinica, 2021, 47(6): 1100-1108. doi:10.3724/SP.J.1006.2021.04138
Table 4 表4 表4脂肪含量遗传参数估计 Table 4Estimation of genetic parameters of fat content
组合 Crosses
模型 Models
m
da
db
ha
hb
Var.mg
hmg
AC
1对主基因加性显性 1MG-AD
57.5201
1.1342
-2.3266
1.0357
31.9936
无主基因 0MG
1对主基因负向完全显性 1MG-NCD
57.2576
1.2970
0.9789
30.2396
2对主基因等加性 2MG-EA
56.9106
0.2372
0.0660
2.0382
BC
2对主基因等显性 2MG-EAD
55.5452
0.9807
1.1551
47.1385
1对主基因加性显性 1MG-AD
55.4744
1.0402
2.1944
0.8997
36.7188
无主基因 0MG
1对主基因完全显性 1MG-EAD
55.7181
1.2259
0.8773
35.8046
CE
2对主基因等显性 2MG-EAD
54.0134
1.0075
1.2100
52.9489
1对主基因加性显性 1MG-AD
53.9686
1.0950
2.1686
0.9448
41.3432
2对主基因完全显性 2MG-CD
54.1576
1.2797
0.1270
0.9596
41.9920
1对主基因完全显性 1MG-EAD
54.1894
1.2796
0.9498
41.5652
CF
无主基因 0MG
2对主基因等显性 2MG-EAD
53.6370
0.7674
0.7028
31.3534
2对主基因等加性 2MG-EA
54.0267
0.2282
0.0604
2.6958
1对主基因加性 1MG-A
54.0290
0.2888
0.0494
2.2052
组合 Crosses
模型 Models
m
da
db
ha
hb
Var.mg
hmg
CG
2对主基因等显性 2MG-EAD
51.6018
1.6437
3.6377
79.7548
1对主基因加性显性 1MG-AD
51.8983
2.3225
1.5772
2.9822
65.3833
2对主基因完全显性 2MG-CD
51.7690
2.1335
0.1047
2.7537
60.3730
1对主基因完全显性 1MG-EAD
51.7952
2.1334
2.7468
60.2228
CH
无主基因 0MG
2对主基因等显性 2MG-EAD
53.8575
0.7166
0.6290
16.0300
2对主基因等加性 2MG-EA
54.2152
0.3550
0.1469
3.7446
1对主基因加性 1MG-A
54.2168
0.4650
0.1280
3.2625
A: 远杂9102; B: 中花6号; C: 豫花15号; E: 粤油20; F: 四粒红; G: 伏花生; H: NC94022。m: 群体平均数; da: 第1对主基因加性效应; db: 第2对主基因加性效应; ha: 第1对主基因显性效应; hb: 第2对主基因显性效应; Var.mg: 主基因方差; hmg: 主基因遗传力。 A: Yuanza 9102; B: Zhonghua 6; C: Yuhua 15; E: Yueyou 20; F: Silihong; G: Fuhuasheng; H: NC94022. m:mean of population; da: additive effect of the first major gene; db: additive effect of the second major gene; ha: dominant effect of the first major gene; hb: dominant effect of the second major gene; Var.mg: major gene variance; hmg: heritability of major gene. MG: major gene; AD: additive and dominant; NCD: negative complete dominant; EA: equal additive; EAD: equal dominant.
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