Scientia Agricultura Sinica ›› 2013, Vol. 46 ›› Issue (10): 2119-2129.doi: 10.3864/j.issn.0578-1752.2013.10.018

• RESEARCH NOTES • Previous Articles     Next Articles

Mapping QTL for Heat Tolerance at Grain Filling Stage in Common Wheat

 LI  Shi-Ping, CHANG  Xiao-Ping, WANG  Cheng-She, JING  Rui-Lian   

  1. 1 College of Agronomy, Northwest A&F University/State Key Laboratory of Crop Stress Biology in Arid Areas, Yangling 712100, Shaanxi
    2. Institute of Crop Science, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Germplasm and Biotechnology, Ministry of Agriculture, Beijing 100081
    3. Institute of Wheat Research, Shanxi Academy of Agricultural     Sciences, Linfen 041000, Shanxi
  • Received:2012-12-24 Online:2013-05-15 Published:2013-03-22

Abstract: 【Objective】In this study, a doubled haploid (DH) population with 150 lines, which was derived from the cross of two Chinese common wheat cultivars Hanxuan 10 and Lumai 14, was used as the plant material to identify the heat tolerance index (HTI) for related physiological traits and thousand-grain weight (TGW) at grain filling stage in common wheat and carry out quantitative trait loci (QTL) analysis. The purpose was to identify the essential QTL with stable and remarkable effects and find a theoretical basis on marker-assisted selection for improving the heat tolerance in wheat breeding program. 【Method】 The mixed-model-based composite interval mapping method was employed to identify QTL for HTI of related traits in two soil moisture environments. 【Result】A total of 12 additive QTL and 17 epistatic QTL for HTI of TGW and physiological traits related to heat tolerance were located on all chromosomes except 1D, 6D and 7B under two soil moisture conditions. One single additive QTL can explain 2.64%-11.41% phenotypic variance for HTI, and a pair of epistatic QTL can explain 2.45%-8.84% phenotypic variance for HTI. Nine of 12 additive QTL have interaction effects with the environments, and the interaction effect of single additive QTL with the environment can explain 1.41%-4.66% phenotypic variance for HTI. Only 5 of the 17 epistatic QTL exist interaction effects with the environments, and the interaction effect of single pair of QTL with the environment can explain 0.62%-2.32% phenotypic variance for HTI. The allelic contribution to the HTI QTL came from both parents. Some DH lines were more tolerant to the heat stress than their parents.【Conclusion】 To evaluate the heat tolerance at grain filling stage, the HTI for TGW is a direct criteria, the following two physiological index are indirect criteria, i.e. the HTI for flag leaves relative water content (IRWC) is an available index under rainfed condition, and the HTI for canopy temperature depression (ICTD) is suitable under well-watered condition. The QTL for HTIs mainly distribute on the chromosomes 1B, 2D, 5A, 5B, 6A, 6B and 7A, showing that these chromosomes have close relationship with heat-tolerance at grain filling stage. The genetic effects of QTL for TGW HTI and chlorophyll content (CC) mainly are additive effect, and that of CTD and chlorophyll fluorescence parameters (CFP) are mainly epistatic effect. The additive effect and the epistatic effect are almost equal in the genetic effect of the QTL for the RWC HTI.

Key words: wheat , heat tolerance index (HTI) , additive effect , epistatic effect , G×E interactions

[1]Ortiz R, Sayre K D, Govaerts B, Gupta R, Subbarao G V, Ban T, Hodson D, Dixon J M, Ortiz-Monasterio J I, Reynolds M. Climate change: Can wheat beat the heat? Agriculture, Ecosystems and Environment, 2008, 126: 46-58.

[2]Fischer R A. Wheat physiology: A review of recent developments. Crop and Pasture Science, 2011, 62: 95-114.

[3]Matasuki J, Yasui T, Kohyama K, Sasaki T. Effects of environmental temperature on structure and gelatinizati on properties of wheat starch. Cereal Chemistry, 2003, 80: 476-480.

[4]Asseng S, Fosterw I, Turnerz N. The impact of temperature variability on wheat yields. Global Change Biology, 2011, 17: 997-1012.

[5]金善宝. 中国小麦学. 北京: 中国农业出版社, 1996: 97.

Jin S B. Chinese Wheat. Beijing: Chinese Agricultural Press, 1996: 97. (in Chinese)

[6]李永庚, 于振文, 张秀杰, 高雷明. 小麦产量与品质对灌浆不同阶段高温胁迫的响应. 植物生态学报, 2005, 29(3): 461-466.

Li Y G, Yu Z W, Zhang X J, Gao L M. Response of yield and quality of wheat to heat stress at different grain filling stages. Acta Phytoecologica Sinica, 2005, 29(3): 461-466. (in Chinese)

[7]Wahid A, Gelania S, Ashrafa M, Foolad M R. Heat tolerance in plants: An overview. Journal of Environmental and Experimental Botany, 2007, 61: 199-223.

[8]气候变化对农业的影响及其对策课题组. 气候变化对农业的影响及其对策. 北京: 北京大学出版社, 1993.

Research group for the impact and countermeasures of climate change on agriculture. The Impact and Countermeasures of Climate Change on Agriculture. Beijing: Peking University Press, 1993. (in Chinese)

[9]Vijayalakshmi K, Fritz A K, Paulsen G M, Bai G, Pandravada S, Gill B S. Modeling and mapping QTL for senescence-related traits in winter wheat under high temperature. Molecular Breeding, 2010, 26: 163-175.

[10]Mason R E, Mondal S, Beecher F W, Pacheco A, Jampala B, Ibrahim A M H, Hays D B. QTL associated with heat susceptibility index in wheat (Triticum aestivum L.) under short-term reproductive stage heat stress. Euphytica, 2010, 174: 423-436.

[11]陈希勇, 赵爱菊, 李亚军. 小麦耐热性基因的染色体定位和遗传效应分析. 华北农学报, 2007, 22(增刊): 1-5.

Chen X Y, Zhao A J, Li Y J. Wheat heat resistance gene chromosome mapping and genetic effect analysis. Acta Agriculturae Boreali-Sinica, 2007, 22(supplement): 1-5. (in Chinese)

[12]马晓娣, 彭慧茹, 汪矛, 王丽, 孙其信. 作物耐热性的评价. 植物学通报, 2004, 21(4): 411-418.

Ma X D, Peng H R, Wang M, Wang L, Sun Q X. Evaluation of heat tolerance in crop. Chinese Bulletin of Botany, 2004, 21(4): 411-418. (in Chinese)

[13]景蕊莲, 昌小平, 贾继增, 胡荣海. 用花药培养创建小麦加倍单倍体作图群体. 生物技术, 1999, 9(3): 4-8.

Jing R L, Chang X P, Jia J Z, Hu R H. Establishing wheat doubled haploid population for genetic mapping by anther culture. Biotechnology, 1999, 9(3): 4-8. (in Chinese)

[14]Li S P, Chang X P, Wang C S, Jing R L. Genetic dissection of developmental behavior of grain weight in wheat under diverse temperature and water regimes. Genetica, 2012, 140: 393-405.

[15]Moffat J M, Sears G, Cox T S, Paulsen G M. Wheat high temperature tolerance during reproductive growth: Ⅰ. Evaluation by chlorophyll fluorescence. Crop Science, 1990, 30: 881-885.

[16]邹琦. 植物生理生化实验指导. 北京: 中国农业出版社, 1995: 41-46.

Zou Q. Plant Physiology and Chemistry Laboratory Manual. Beijing: China Agriculture Press, 1995: 41-46. (in Chinese)

[17]Brucker P L, Frohberg R C. Stress tolerance and adaptation in spring wheat. Crop Science, 1987, 27: 3l-36.

[18]徐如强, 孙其信, 张树榛. 春小麦耐热性的筛选方法与指标. 华北农学报, 1997, 12(3): 22-29.

Xu R Q, Sun Q X, Zhang S Z. Screening methods and index for spring wheat heat resistance. Acta Agriculturae Boreali-Sinica, 1997, 12(3): 22-29. (in Chinese)

[19]周晓果, 景蕊莲, 郝转芳, 昌小平, 张正斌. 小麦幼苗根系性状的QTL分析. 中国农业科学, 2005, 38: 1951-1957.

Zhou X G, Jing R L, Hao Z F, Chang X P, Zhang Z B. Mapping QTL for seedling root traits in common wheat. Scientia Agricultura Sinica, 2005, 38: 1951-1957. (in Chinese)

[20]Hao Z F, Chang X P, Guo X J, Jing R L, Li R Z, Jia J A. QTL mapping for drought tolerance at stages of germination and seedling in wheat (Triticum aestivum L.) using a DH population. Agricultural Science in China, 2003, 2(9): 943-949.

[21]McIntosh R A, Hart G E, Devos K M, Rogers W J. Catalogue of gene symbols for wheat. http://grain.jouy.inra.fr/ggpages/wgc, 1999.

[22]陈希勇, 孙其信, 孙长征. 春小麦耐热性表现及其评价. 中国农业大学学报, 2000, 5(1): 43-49.

Chen X Y, Sun Q X, Sun C Z. Performance and evaluation of spring wheat heat tolerance. Journal of China Agricultural University, 2000, 5(1): 43-49. (in Chinese)

[23]Hays D B, Do J H, Mason R E, Morgan G, Finlayson S A. Heat stress induced ethylene production in developing wheat grains induces kernel abortion and increased maturation in a susceptible cultivar. Plant Science, 2007, 172: 1113-1123.

[24]李世平, 昌小平, 王成社, 景蕊莲. 小麦幼苗耐热性的QTL定位分析. 西北植物学报, 2012, 32(8): 1525-1533.

Li S P, Chang X P, Wang C S, Jing R L. Mapping QTLs for seedling traits and heat tolerance index in common wheat. Acta Botanica Boreali-Occidentalia Sinica, 2012, 32(8): 1525-1533. (in Chinese)

[25]邢永忠, 徐才华, 金平国. 水稻圆锥花序性状QTL与环境互作分析. 遗传学报, 2001, 28: 439-446.

Xing Y Z, Xu C H, Jin P G. Analysis of QTL×environment interaction for rice panicle characteristics. Acta Genetica  Sinica, 2001, 28: 439-446. (in Chinese)

[26]Barakat M N, Al-Doss A A, Elshafei A A, Moustafa K A. Identification of new microsatellite marker linked to the grain filling rate as indicator for heat tolerance genes in F2 wheat population. Australian Journal of Crop Science, 2011, 5(2): 104-110.
[1] CHEN JiHao, ZHOU JieGuang, QU XiangRu, WANG SuRong, TANG HuaPing, JIANG Yun, TANG LiWei, $\boxed{\hbox{LAN XiuJin}}$, WEI YuMing, ZHOU JingZhong, MA Jian. Mapping and Analysis of QTL for Embryo Size-Related Traits in Tetraploid Wheat [J]. Scientia Agricultura Sinica, 2023, 56(2): 203-216.
[2] YAN YanGe, ZHANG ShuiQin, LI YanTing, ZHAO BingQiang, YUAN Liang. Effects of Dextran Modified Urea on Winter Wheat Yield and Fate of Nitrogen Fertilizer [J]. Scientia Agricultura Sinica, 2023, 56(2): 287-299.
[3] XU JiuKai, YUAN Liang, WEN YanChen, ZHANG ShuiQin, LI YanTing, LI HaiYan, ZHAO BingQiang. Nitrogen Fertilizer Replacement Value of Livestock Manure in the Winter Wheat Growing Season [J]. Scientia Agricultura Sinica, 2023, 56(2): 300-313.
[4] ZHAO HaiXia,XIAO Xin,DONG QiXin,WU HuaLa,LI ChengLei,WU Qi. Optimization of Callus Genetic Transformation System and Its Application in FtCHS1 Overexpression in Tartary Buckwheat [J]. Scientia Agricultura Sinica, 2022, 55(9): 1723-1734.
[5] WANG HaoLin,MA Yue,LI YongHua,LI Chao,ZHAO MingQin,YUAN AiJing,QIU WeiHong,HE Gang,SHI Mei,WANG ZhaoHui. Optimal Management of Phosphorus Fertilization Based on the Yield and Grain Manganese Concentration of Wheat [J]. Scientia Agricultura Sinica, 2022, 55(9): 1800-1810.
[6] TANG HuaPing,CHEN HuangXin,LI Cong,GOU LuLu,TAN Cui,MU Yang,TANG LiWei,LAN XiuJin,WEI YuMing,MA Jian. Unconditional and Conditional QTL Analysis of Wheat Spike Length in Common Wheat Based on 55K SNP Array [J]. Scientia Agricultura Sinica, 2022, 55(8): 1492-1502.
[7] MA XiaoYan,YANG Yu,HUANG DongLin,WANG ZhaoHui,GAO YaJun,LI YongGang,LÜ Hui. Annual Nutrients Balance and Economic Return Analysis of Wheat with Fertilizers Reduction and Different Rotations [J]. Scientia Agricultura Sinica, 2022, 55(8): 1589-1603.
[8] LIU Shuo,ZHANG Hui,GAO ZhiYuan,XU JiLi,TIAN Hui. Genetic Variations of Potassium Harvest Index in 437 Wheat Varieties [J]. Scientia Agricultura Sinica, 2022, 55(7): 1284-1300.
[9] WANG YangYang,LIU WanDai,HE Li,REN DeChao,DUAN JianZhao,HU Xin,GUO TianCai,WANG YongHua,FENG Wei. Evaluation of Low Temperature Freezing Injury in Winter Wheat and Difference Analysis of Water Effect Based on Multivariate Statistical Analysis [J]. Scientia Agricultura Sinica, 2022, 55(7): 1301-1318.
[10] GOU ZhiWen,YIN Wen,CHAI Qiang,FAN ZhiLong,HU FaLong,ZHAO Cai,YU AiZhong,FAN Hong. Analysis of Sustainability of Multiple Cropping Green Manure in Wheat-Maize Intercropping After Wheat Harvested in Arid Irrigation Areas [J]. Scientia Agricultura Sinica, 2022, 55(7): 1319-1331.
[11] ZHI Lei,ZHE Li,SUN NanNan,YANG Yang,Dauren Serikbay,JIA HanZhong,HU YinGang,CHEN Liang. Genome-Wide Association Analysis of Lead Tolerance in Wheat at Seedling Stage [J]. Scientia Agricultura Sinica, 2022, 55(6): 1064-1081.
[12] QIN YuQing,CHENG HongBo,CHAI YuWei,MA JianTao,LI Rui,LI YaWei,CHANG Lei,CHAI ShouXi. Increasing Effects of Wheat Yield Under Mulching Cultivation in Northern of China: A Meta-Analysis [J]. Scientia Agricultura Sinica, 2022, 55(6): 1095-1109.
[13] CAI WeiDi,ZHANG Yu,LIU HaiYan,ZHENG HengBiao,CHENG Tao,TIAN YongChao,ZHU Yan,CAO WeiXing,YAO Xia. Early Detection on Wheat Canopy Powdery Mildew with Hyperspectral Imaging [J]. Scientia Agricultura Sinica, 2022, 55(6): 1110-1126.
[14] ZONG Cheng, WU JinXin, ZHU JiuGang, DONG ZhiHao, LI JunFeng, SHAO Tao, LIU QinHua. Effects of Additives on the Fermentation Quality of Agricultural By-Products and Wheat Straw Mixed Silage [J]. Scientia Agricultura Sinica, 2022, 55(5): 1037-1046.
[15] MA HongXiang, WANG YongGang, GAO YuJiao, HE Yi, JIANG Peng, WU Lei, ZHANG Xu. Review and Prospect on the Breeding for the Resistance to Fusarium Head Blight in Wheat [J]. Scientia Agricultura Sinica, 2022, 55(5): 837-855.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!