Identification of safflower (Carthamus tinctorius L.) QTL under drought stress and normal conditions

被引:5
作者
Poodineh, Mahdiyeh [1 ]
Nezhad, Nafiseh Mahdi [1 ]
Mohammadi-Nejad, Ghasem [2 ]
Fakheri, Barat Ali [1 ]
Ebrahimi, Fatemeh [2 ]
机构
[1] Univ Zabol, Fac Agr, Dept Plant Breeding & Biotechnol, Zabol 9861335856, Iran
[2] Shahid Bahonar Univ Kerman, Res & Technol Inst Plant Prod, Kerman 76169133, Iran
关键词
Drought tolerance; Linkage map; AFLP; Epistatic; QTL x environment; Safflower; QUANTITATIVE TRAIT LOCI; WATER-USE EFFICIENCY; AGRONOMIC TRAITS; MOLECULAR MARKERS; GENETIC DIVERSITY; YIELD COMPONENTS; PANICLE TRAITS; GRAIN-YIELD; SEED; WINTER;
D O I
10.1016/j.indcrop.2021.113889
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
As a potential oil producer, safflower (Carthamus tinctorius L.) is advisable for growing in marginal and dry areas. The scarcity of identified linked markers is a major restriction to successful breeding programs in safflower for unfavorable environments. The genetic enhancement of safflower is a prerequisite to improve its utility and acceptability as an oilseed crop. Thus, this study aimed to determine QTL monitoring the importance and determination of epistatic impacts and QTL inter loci interaction as well as QTL by interaction in the F-9 population derived from a Mex 22-191/Goldasht safflower under normal and drought stress conditions in the growing season of 2019. A new linkage map with 69 polymorphic AFLP markers was made which covered 556 cM of the safflower genome. At last, 17 major QTL with additive impacts (A) and 66 epistatic QTL with additive x additive impacts (AA) for ten agronomic traits in different environments were determined. The additive and epistatic QTL described 3.04%-24.71% and 8.31%-56.5 %-24.71 % and 8.31 %-56.5 % of the phenotypic variations of traits, respectively. Seven main genomic regions on linkage group (LG) 4 and LG5 were co-localized QTL for various traits. QTL by interactions found that four additive QTL were included in AE, and ten epistatic QTL were involved in AAE impacts, indicating that stress vis-a-vis non-stress conditions responsible for QTL. The identity linked markers with main and stable QTL can be applied as information markers for future investigations to introduce the candidate markers for breeding programs in safflower to increase the effectiveness of selection or drought tolerance enhancement.
引用
收藏
页数:15
相关论文
共 77 条
[31]   Water use efficiency and crop coefficients of dry season oilseed crops [J].
Kar, Gouranga ;
Kumar, Ashwani ;
Martha, M. .
AGRICULTURAL WATER MANAGEMENT, 2007, 87 (01) :73-82
[32]   Genome-Wide Detection of Major and Epistatic Effect QTLs for Seed Protein and Oil Content in Soybean Under Multiple Environments Using High-Density Bin Map [J].
Karikari, Benjamin ;
Li, Shuguang ;
Bhat, Javaid Akhter ;
Cao, Yongce ;
Kong, Jiejie ;
Yang, Jiayin ;
Gai, Junyi ;
Zhao, Tuanjie .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (04)
[33]   Identification of main effect and epistatic quantitative trait loci for morphological and yield-related traits in peanut (Arachis hypogaea L.) [J].
Khedikar, Yogendra ;
Pandey, Manish K. ;
Sujay, V. ;
Singh, Sube ;
Nayak, Spurthi N. ;
Klein-Gebbinck, Henry W. ;
Sarvamangala, Cholin ;
Mukri, Ganapati ;
Garg, Vanika ;
Upadhyaya, Hari D. ;
Nadaf, H. L. ;
Gowda, M. V. C. ;
Varshney, Rajeev K. ;
Bhat, Ramesh S. .
MOLECULAR BREEDING, 2018, 38 (01)
[34]  
Knowles P.F., 1980, HYBRIDIZATION CROP P, P535
[35]   Phenotypic variation in physiological determinants of yield in spring sown safflower under Mediterranean conditions [J].
Koutroubas, Spyridon D. ;
Papakosta, Despo K. ;
Doitsinis, Alexandros .
FIELD CROPS RESEARCH, 2009, 112 (2-3) :199-204
[36]   Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method [J].
Li, LP ;
Weinberg, CR ;
Darden, TA ;
Pedersen, LG .
BIOINFORMATICS, 2001, 17 (12) :1131-1142
[37]   Using leaf sodium concentration for screening sodicity tolerance in cotton (Gossypium hirsutum L.) [J].
Liu, Shiming ;
Constable, Greg ;
Stiller, Warwick .
FIELD CROPS RESEARCH, 2020, 246
[38]   Prioritizing climate change adaptation needs for food security in 2030 [J].
Lobell, David B. ;
Burke, Marshall B. ;
Tebaldi, Claudia ;
Mastrandrea, Michael D. ;
Falcon, Walter P. ;
Naylor, Rosamond L. .
SCIENCE, 2008, 319 (5863) :607-610
[39]   Yield response factor to water (Ky) and water use efficiency of Carthamus tinctorius L. and Solanum melongena L. [J].
Lovelli, S. ;
Perniola, M. ;
Ferrara, A. ;
Di Tommaso, T. .
AGRICULTURAL WATER MANAGEMENT, 2007, 92 (1-2) :73-80
[40]   A Metabolic Perspective and Opportunities in Pharmacologically Important Safflower [J].
Mani, Vimalraj ;
Lee, Seon-Kyeong ;
Yeo, Yunsoo ;
Hahn, Bum-Soo .
METABOLITES, 2020, 10 (06) :1-18