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Single Marker Analysis on QTLs Controlling Maturity Period in Soybean Using A Four-way Recombinant Inbred Lines Population(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2015年06期
Page:
1081-1084,1089
Research Field:
Publishing date:

Info

Title:
Single Marker Analysis on QTLs Controlling Maturity Period in Soybean Using A Four-way Recombinant Inbred Lines Population
Author(s):
NING Hai-long WU Hao LI Wen-bin XUE Hong LI Bai-yun LI Qi BAI Xue-lian LI Wen-xia
Agronomy College of Northeast Agricultural University/Key Laboratory of Soybean Biology in Ministry of Education/Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Harbin 150030, China
Keywords:
Soybean Four-way recombinant inbred lines population Maturity QTL Excellent allelic genotype
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2015.06.1081
Abstract:
Abstract: In this paper a four-way recombinant inbred lines population with 160 individuals were used to map QTLs underlying the maturity period- 188 SSR primers were used to identify the genotype of the individuals. The maturity period was recorded in the 4 planting environments trails.Single marker analysis method was utilized to analyze the genotypic data and phenotypic data. The result showed that 14 QTLs conditioning maturity period were mapped to located in 11 linkage groups, i.e, A2, B2, C1, C2, D1b, E, F, G, K, L and N, and the heritability varied from 1.34% to 9.19%.The excellent allelic genotype that could delay the maturity include BARCSOYSSR_08_0966(Q3Q3), Sat_177(Q2Q2), Sct_186(Q3Q3), Satt307(Q3Q3), Satt557(Q1Q1), Satt577(Q2Q2), Sat_351(Q1Q1), Satt268(Q1Q1), Sct_199(Q1Q1), Satt273(Q3Q3), Satt229(Q1Q1), Satt664(Q1Q1), Satt125(Q4Q4), and those that could shorten the maturity include BARCSOYSSR_08_0966(Q2Q2), Sat_177(Q1Q1), Sct_186(Q1Q1), Satt307(Q2Q2), Satt557(Q2Q2), Satt577(Q4Q4), Sat_351(Q2Q2), Satt268(Q3Q3), Sct_199(Q3Q3), Satt273(Q2Q2), Satt229(Q3Q3), Satt664(Q3Q3), Satt125(Q3Q3). Among three QTLs i.e, Satt307, Satt199 and Satt125, which were detected in two environments simultaneously, Satt199 showed little variation in effects of allelic genotypes and heritability across two environments, which showed Satt199 could be used in molecular design breeding.

References:

[1]Johnson H W, Borthwick H A, Leffel R C. Effects of photoperiod and time of planting of rates of development of the soybean in various stages of the life cycle [J]. Botanical Gazette, 1960, 122:77-95

[2]Mcblain B, Bernard R L. A new gene affecting the time of flowering and maturity in soybean [J]. Journal of Heredity,1987,78:160-162
[3]Bernard R L. Two genes for time of flowering and maturity in soybean [J]. Crop Science, 1917,11: 242-244
[4]Bonato E R, Vello N A. E6, a dominant gene conditioning early flowering and maturity in soybean[J].Genetics and Molecular Biology, 1999, 22:229-232
[5]Keim P, Diem B W, Olson T C, et al. RFLP mapping in soybean association between marker loci and variation in quantitative traits[J]. Genetics, 1990, 126:735-742
[6]Lee S H, Park K Y, Lee H S, et al. Genetic mapping of QTLs conditioning soybean sprout yield and quality[J]. Theoretical and Applied Genetics, 2001, 103:702-709
[7]Mansur L M, Orf J H, Chase K, et al.Genetic mapping ofagronomic traits using recombinant inbred lines of soybean[J]. CropScience, 1996, 36: 1327-1336
[8]Watanabe S,Tadjuddin T,Yamanaka N,et al. Analysis of QTLs for reproductive development and seed quality traits in soybean using recombinant inbred lines[J]. Breed Science, 2004, 54:399-407
[9]Kim K, Diers B, Hyten D, et al. Identification of positive yield QTL alleles from exotic soybean germplasm in two backcross populations [J]. Theoretical and Applied Genetics, 2012, 125:1353-1369
[10]Wang D,Graef G L,Procopiuk A M,et al. Identification of putative QTL that underlie yield in interspecific soybean backcross populations [J]. Theoretical and Applied Genetics, 2004, 108:458-467
[11]宁海龙,梁世鑫,蒋红鑫,等. 应用极大似然法分析大豆四向重组自交系群体株高与主茎节数的主基因遗传效应 [J]. 大豆科学, 2013, 32(4): 438-444.(Ning H L, Liang S X, Jiang H X, et al. Genetic effects analysis of major genes underlying plant height and main stem nodes in a soybean four-way recombinant inbred lines population through maximum likelihood method [J]. Soybean Science, 2013, 32(4): 438-444.)
[12]Cregan P B, Jarvik T, Bush A L, et al. An integrated genetic linkage map of the soybean genome [J]. Crop Science, 1999, 39(5): 1464-1490.[13]Song Q J, Marek L F, Shoemaker R C, et al. A new integrated genetic linkage map of the soybean [J]. Theoretical and Applied Genetics, 2004, 109(1): 122-128

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Last Update: 2016-01-07