大豆产量和产量构成因子及倒伏性的QTL分析

doi:10.3724/SP.J.1006.2009.00821

摘要/Abstract

摘要：

随机选取中豆29×中豆32重组自交系群体中165个家系作为2年田间试验材料，分析大豆单株产量、产量构成因子及倒伏性等性状的相关性和遗传效应，并检测各性状QTL。结果表明，38个与产量、产量构成因子及倒伏性状等有关的QTL，主要集中在C2、F和I连锁群。表型相关分析结果与QTL定位结果一致。在F连锁群上，2年均检测到倒伏QTL qLD-15-1，解释的表型变异超过20%，与百粒重和分枝荚数QTL分别位于相同和相邻标记区间，表明产量相关性状与倒伏性存在一定的关联。在I连锁群上，每荚粒数QTL和二、三、四粒荚数QTL不仅于同一位置，解释的表型变异为32%~65%，并且2个年份均重复出现，每荚粒数和四粒荚数QTL与二、三粒荚数QTL的增效基因分别来自不同的亲本。这4个粒荚性状QTL的共位性与表型相关分析结果一致，证实每荚粒数和四粒荚数与二、三粒荚数分别由不同的机制调控，对于育种上探讨以改良大豆粒荚性状为途径提高大豆产量，提供了重要依据。

关键词: 大豆, 产量, 产量构成因子, 粒荚性状, 倒伏, QTL定位

Abstract:

High-yield and stable-yield is the main goal of soybean breeding, but yield is a complex quantitative trait, which is very vulnerable to the environment. A total of 165 plants of recombinant inbred lines (RILs) derived from a cross between Zhongdou 29 and Zhongdou 32 were used to analyze the relationship of individual yield, yield components, lodging and the genetic effect, and to map the QTLs in two years. Thirty-eight QTLs for yield, seed and pod traits, and lodging related traits were detected by composite interval mapping (CIM) method, the majority of which were located on C2, F and I linkage groups. The QTL (qLD-15-1) for lodging on F linkage group was detected in both years, explaining over 20% of phenotypic variation, with the same or adjacent marker intervals to the QTLs for 100-seed weight and pods on branch, showing some correlation between yield related traits and lodging. On I linkage group, the QTLs for yield components of seeds per pod, two-seed-pods, three-seed-pods, and four-seed-pods were detected on the same position in two years, explaining 32–65% of phenotypic variation. The positive alleles of QTLs for seeds per pod, four-seed-pods, two-seed-pods and three-seed-pods were from different parents. The four QTLs for seed and pod traits mapped on the same position, which was consistent with the correlation analysis result of phenotypic traits, showing that the regulatory mechanisms of the four traits for seed and pod were different, which may provide an important basis for promotion of soybean yield by improving seed and pod traits.

Key words: Soybean, Yield, Yield components, Seed and pod traits, Lodging, QTL analysis

周蓉,陈海峰，王贤智，张晓娟，单志慧，吴学军，蔡淑平，邱德珍，周新安，吴江生. 大豆产量和产量构成因子及倒伏性的QTL分析[J]. 作物学报, 2009, 35(5): 821-830.

ZHOU Rong,CHEN Hai-Feng,WANG Xian-Zhi,ZHANG Xiao-JUan,SHAN Zhi-Hui,et al.. QTL Analysis of Yield，Yield Components and Lodging in Soybean[J]. Acta Agron Sin, 2009, 35(5): 821-830.

参考文献

[1] Mansur L M, Orf J H, Chase K, Jarvik T, Cregan P B, Lark K G. Genetic mapping of agronomic traits using recombinant inbred lines of soybean. Crop Sci, 1996, 36: 1327–1336

[2] Orf J H, Chase K, Jarvik T, Mansur L M, Cregan P B, Adler F R, Lark K G. Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations. Crop Sci, 1999, 39: 1642–1651

[3] Hnetkovsky H, Chang S J C, Doubler T W, Gibson P T, Lightfoot D A. Genetic mapping of loci underlying field resistance to soybean sudden death syndrome (SDS). Crop Sci, 1996, 36: 393–400

[4] Specht J E, Chase K, Macrander M, Graef G L, Chung J, Markwell J P, Germann M, Orf J H, Lark K G. Soybean response to water: A QTL analysis of drought tolerance. Crop Sci, 2001, 41: 493–509

[5] Yuan J, Njiti V N, Meksem K, Iqbal M J, Triwitayakorn K, Kassem My A, Davis G T, Schmidt M E, Lightfoot D A. Quantitative trait loci in two soybean recombinant inbred line populations segregating for yield and disease resistance. Crop Sci, 2001, 42: 271–277

[6] Wu X-L(吴晓雷), Wang Y-J(王永军), He C-Y(贺超英), Chen S-Y(陈受宜), Gai J-Y(盖钧镒), Wang X-C(王学臣). QTL mapping of some agronomic traits of soybean. Acta Genet Sin (遗传学报), 2001, 28(10): 947–955 (in Chinese with English abstract)

[7] Chung J, Babka H L, Graef G L, Staswick P E, Lee D J, Cregan P B, Shoemaker R C, Specht J E. The seed protein, oil, and yield QTL on soybean linkage group I. Crop Sci, 2003, 43: 1053–1067

[8] Concibido V C, Vallee B La, Mclaird P, Pineda N, Meyer J, Hummel L, Yang J, Wu K, Delannay X. Introgression of a quantitative trait locus for yield from Glycine soja into commercial soybean cultivars. Theor Appl Genet, 2003, 106: 575–582

[9] Zhang W K, Wang Y J, Luo G Z, Zhang J S, He C Y, Wu X L, Gai J Y, Chen S Y. QTL mapping of ten agronomic traits on the soybean (Glycine max L. Merr.) genetic map and their association with EST markers. Theor Appl Genet, 2004, 108: 1131–1139

[10] Kabelka E A, Diers B W, Fehr W R, LeRoy A R, Baianu I C, You T, Neece D J, Nelson R L. Putative alleles for increased yield from soybean plant introductions. Crop Sci, 2004, 44: 784–791

[11] Wang D, Graef G L, Procopiuk A M, Diers B W. Identification of putative QTL that underlie yield in interspecific soybean backcross populations. Theor Appl Genet, 2004, 108: 458–467

[12] Yang Z(杨喆), Gang R-X(关荣霞), Wang Y-J(王跃进), Liu Z-X(刘章雄), Chang R-Z(常汝镇), Wang S-M(王曙明), Qiu L-J(邱丽娟). Construction of genetic map and QTL analysis for some agronomic traits in soybean. J Plant Genet Resour (植物遗传资源学报), 2004, 5(4): 309–314 (in Chinese with English abstract)

[13] Brucher E, Niblack T, Kopisch-Obuch F J, Diers B W. The effect of rhg1 on reproduction of Heterodera glycines in the field and greenhouse and associated effects on agronomic traits. Crop Sci, 2005, 45: 1721–1727

[14] Kabelka E A, Carlson S R, Diers B W. Glycine soja PI 468916 SCN resistance loci’s associated effects on soybean seed yield and other agronomic traits. Crop Sci, 2006, 46: 622–629

[15] Guzman P S, Diers B W, Neece D J, Martin S K St, LeRoy A R, Grau C R, Hughes T J, Nelson R L. QTL associated with yield in three backcross-derived populations of soybean. Crop Sci, 2007, 47: 111–122

[16] Maughan P J, Saghai Maroof M A, Buss G R. Molecular-marker analysis of seed-weight: Genomic locations, gene action, and evidence for orthologous evolution among three legume species. Theor Appl Genet, 1996, 93: 574–579

[17] Lee S H, Park K Y, Lee H S, Park E H, Boerma H R. Genetic mapping of QTLs conditioning soybean sprout yield and quality. Theor Appl Genet, 2001, 103: 702–709

[18] Csanadi G, Vollmann J, Stift G, Lelley T. Seed quality QTLs identified in a molecular map of early maturing soybean. Theor Appl Genet, 2001, 103: 912–919

[19] Chapman A, Pantalone V R, Ustun A, Allen F L, Landau-Ellis D, Trigiano R N, Gresshoff P M. Quantitative trait loci for agronomic and seed quality traits in an F2 and F4:6 soybean population. Euphytica, 2003, 129: 387–393

[20] Hoeck J A, Fehr W R, Shoemaker R C, Welke G A, Johnson S L, Cianzio S R. Molecular marker analysis of seed size in soybean. Crop Sci, 2003, 43: 68–74

[21] Hyten D L, Pantalone V R, Sams C E, Saxton A M, Landau-Ellis D, Stefaniak T R, Schmidt M E. Seed quality QTL in a prominent soybean population. Theor Appl Genet, 2004, 109: 552–561

[22] Cui Z-L(崔章林), Gai J-Y(盖钧镒), Carter T E Jr, Qiu J-X(邱家驯), Zhao T-J(赵团结). The Released Chinese Soybean Cultivars and Their Pedigree Analysis (1923—1995) (中国大豆育成品种及其系谱分析). Beijing: China Agriculture Press, 1998 (in Chinese)

[23] Qiu L-J(邱丽娟), Chang R-Z(常汝镇). Descriptors and Data Standard for Soybean (Glycine spp.) (大豆种质资源描述规范和数据标准). Beijing: China Agriculture Press, 2006 (in Chinese)

[24] Gai J-Y(盖钧镒). Experimentation Methods(试验统计方法), 3rd edn. Beijing: China Agriculture Press, 2000. pp 248–252 (in Chinese)

[25] Ma Y-H(马育华). Foundation of Statistical Genetics and Plant Breeding (植物育种的数量遗传学基础). Jiangsu: Jiangsu Sci & Tech Press, 1984. pp 442–445 (in Chinese)

[26] Song Q J, Marek L F, Shoemaker R C, Lark K G, Concibido V C, Delannay X, Specht J E, Cregan P B. A new integrated genetic linkage map of the soybean. Theor Appl Genet, 2004, 109: 122–128

[27] McCouch S R, Cho Y G, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T. Report on QTL nomenclature. Rice Genet Newsl, 1997, 14: 11–13

[28] Zhou X-A(周新安), Wang X-Z(王贤智), Cai S-P(蔡淑平), Wu X-J(吴学军), Sha A-H(沙爱华), Qiu D-Z(邱德珍), Zhang X-J(张晓娟). Relation of three-seed and four-seed pods with yield of RIL in soybeans. Chin J Oil Crop Sci (中国油料作物学报), 2005, 27(4): 22–25 (in Chinese with English abstract)

[29] Gai J-Y(盖钧镒), Zhang Y-M(章元明), Wang J K(王健康). Genetic System of Quantitative Traits in Plants (植物数量性状遗传体系). Beijing: Sci Press, 2003. pp 341–350 (in Chinese)

[30] Zhou R(周蓉), Wang X-Z(王贤智), Chen H-F(陈海峰), Zhang X-J(张晓娟), Chan Z-H(单志慧), Wu X-J(吴学军), Cai S-P(蔡淑平), Qiu D-Z(邱德珍), Zhou X-A(周新安), Wu J S(吴江生). QTL analysis of lodging and related traits in soybean. Acta Agron Sin (作物学报), 2009, 35(1): 57–65 (in Chinese with English abstract)

[31] Wang X-Z(王贤智), Zhang X-J(张晓娟), Zhou R(周蓉), Sha A-H(沙爱华), Wu X-J(吴学军), Cai S-P(蔡淑平), Qiu D-Z(邱德珍), Zhou X-A(周新安). QTL analysis of seed and pod traits in soybean RIL population. Acta Agron Sin (作物学报), 2007, 33(3): 441–448 (in Chinese with English abstract)

[32] Tischner T, Allphin L, Chase K, Orf J H, Lark K G. Genetics of seed abortion and reproductive traits in soybean. Crop Sci, 2003, 43: 464–473

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