|Table of Contents|

QTL Analysis of Morphological and Yield-Related Traits of Soybean under Different Nitrogen Levels(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2020年02期
Page:
198-204
Research Field:
Publishing date:

Info

Title:
QTL Analysis of Morphological and Yield-Related Traits of Soybean under Different Nitrogen Levels
Author(s):
SU Dai-qun ZHANG Kai-xin LI Wen-xiaNING Hai-long
(Agronomy College, Northeast Agricultural University /Key Laboratory of Soybean Biology, Ministry of Education /Key Laboratory of Soybean Biology and Breeding(Genetics), Ministry of Agriculture, Harbin 150030, China)
Keywords:
Soybean Nitrogen fertilizer Morphological traits Yield-related traits QTL analysis
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2020.02.0198
Abstract:
Soybean morphology and yield-related traits are important breeding targets. The corresponding ecological genotypes are suitable to specific nitrogen usage condition. In order to clarify the genetic basis of morphological and yield-related traits under different nitrogen levels, the 156 RILs derived from cross Dong L13 × Henong 60 were planted under normal and zero nitrogen usage in three environments. And we analyzed the QTL controlling the plant height, number of nod of main stem, number of pods per plant, number of seeds per plant, 100-seed weight, and seed weight per plant. The results showed that there were significant differences between the two parents in each trait, and each trait of RIL population followed normal distribution with the genetic characteristics of quantitative traits. A total of 71 QTLs were detected by QTL analysis, which explained the phenotypic variation of 3.88%-41.12%. Six QTLs were detected under normal and no nitrogen application, 29 QTLs were detected under non-nitrogen application, and 42 QTLs were detected under nitrogen application. In this study, 45 QTLs of the detected regulatory traits were newly discovered. The results of the present research would provide theoretical and technological support for molecular breeding on nitrogen ecotype in soybean.

References:

[1]丁洪, 郭庆元. 氮肥对不同品种大豆氮积累和产量品质的影响[J]. 土壤通报, 1995, 26(1): 18-21. (Ding H, Guo Q Y, Nitrogen fertilizer on the influence of different varieties soybean nitrogen accumulation and production quality[J]. Chinese Journal of Soil Science, 1995, 26(1): 18-21.)[2]管宇, 刘丽君, 董守坤, 等. 施氮对大豆植株氮素和蛋白质含量的影响[J]. 东北农业大学学报, 2009, 40 (7): 1-4. (Guan Y, Liu L J, Dong S K, et al. Effect of nitrogen application on nitrogen content and protein content in soybean[J]. Journal of Northeast Agricultural University, 2009, 40(7): 1-4.)[3]贾珂珂, 章建新, 买苏提〖DK1〗?买买提江. 施氮量对超高产大豆中黄35花荚形成及产量的影响[J]. 新疆农业大学学报, 2014, 37(4): 311-316. (Jia K K, Zhang J X, Maisuti M M T J. Effects of nitrogen fertilizer on formation of flowers and pods and output of zhonghuang 35 super-high yield soybean[J]. Journal of Xinjiang Agricultural University, 2014, 37(4): 311-316.)[4]杜晶, 李文霞, 董全中, 等. 大豆荚数垂直分布的遗传分析与QTL定位[J]. 大豆科学, 2019, 38(3): 360-370. (Du J, Li W X, Dong Q Z, et al. Genetic analysis and QTL mapping on vertical distribution of pod number in soybean[J]. Soybean Science, 2019, 38(3): 360-370.)[5]李灿东, 蒋洪蔚, 张闻博, 等. 大豆荚粒相关性状的QTL分析[J]. 分子植物育种, 2008, 6(6): 1091-1100. (Li C, Jiang H W, Zhang W B, et al. QTL analysis of seed and pod traits in soybean[J]. Molecular Plant Breeding, 2008, 6(6):1091-1100.)[6]杨玉花, 白志元, 张瑞军, 等. 大豆单株荚数QTL定位及整合[J]. 华北农学报, 2019, 3 4 (4): 90-95.(Yang Y H, Bai Z Y, Zhang R J, et al. QTL mapping and integration for pod number per plant in soybean[J]. Acta Agriculturae Boreali-Sinica, 2019, 34(4): 90 -95.)[7]姚丹, 王丕武, 张君, 等. 大豆主要产量性状QTL定位分析[J]. 华南农业大学学报, 2014, 35(3): 41-46. (Yao D, Wang P W, Zhang J, et al.A QTL mapping analysis of main yield traits in soybean[J]. Journal of South China Agricultural University, 2014, 35(3): 41-46.)[8]Liu Y, Li Y, Reif J, et al. Identification of quantitative traitloci underlying plant height and seed weight in soybean[J]. Plant Genome, 2013, 6(3): 841-856. [9]Wang W, Li X, Chen S, et al. Using presence/absence variation markers to identify the QTL/allele system that confers the small seed trait in wild soybean (Glycine soja Sieb. & Zucc.)[J]. Euphytica, 2015, 208(1): 1-11.[10]陈强, 闫龙, 冯燕, 等. 大豆百粒重QTL定位及多样性评价[J]. 中国农业科学, 2016, 49(9):1646-1656. (Chen Q, Yan L, Feng Y, et al. Identify QTL associated with soybean 100-seed weight using recombinant inbred lines and determine QTL diversity within nature population[J]. Scientia Agricultura Sinica, 2016,49(9):1646-1656.)[11]袁宝祺.大豆产量相关性状的QTL分析[D]. 沈阳: 沈阳农业大学, 2018.(Yuan B Q. QTL mapping of important yield traits in soybean population[D]. Shenyang: Shenyang Agricultural University, 2018.)[12]于博. 大豆株型有关性状的QTL定位分析[D]. 南京: 南京农业大学, 2014. (Yu B. Mapping QTL for some plant type related traits in soybean[D]. Nanjing:Nanjing Agricultural University, 2018.)[13]位艳丽. 大豆农艺和品质性状遗传模型分析与QTL定位[D].郑州: 河南农业大学, 2011.(Wei Y L. Genetic model analysis and QTL mapping of agronomic and quality traits in soybean[D]. Zhengzhou: Henan Agricultural University, 2011.)[14]Ning H, Yuan J, Dong Q, et al. Identification of QTLs related to the vertical distribution and seed-set of pod number in soybean [Glycine max (L.) Merri][J]. PLoS One, 2018,13(4): e0195830.

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Last Update: 2020-06-10