Mapping QTL with additive effects and additive x additive epistatic interactions for plant architecture in wheat (Triticum aestivum L.)

Document Type : Research paper


1 Sugar Beet Research Department, Agricultural and Natural Resources Research Center of Hamedan, Agricultural Research, Education and Extension Organization (AREEO), Hamedan, Iran.

2 College of Agriculture Researcher, University of Mohaghegh Ardabil, P. O. Box: 56199-11367, Ardabil, Iran.

3 Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Univeristy of Tabriz, Tabriz, Iran.

4 Department of Seed and Plant Improvement Research, West Azerbaijan Agricultural and Natural Resources Research Center, AREEO, Urmia, Iran.

5 Department of Agronomy and Plant Breeding, Faculty of Agriculture University of Maragheh, Maragheh, Iran.


In bread wheat (Triticum aestivum L.), crop height is an important determinant of agronomic performance. To map QTLs with additive effects and additive×additive epistatic interactions, 148 recombinant inbred lines and their parents, (‘YecoraRojo’ and Iranian landrace (No. #49)) were evaluated under normal and water deficit conditions. The experiments were carried out on research farms of Mahabad University and Miyandoab Agricultural Research Center in 2014-2015. The experimental design was an alpha lattice design with two replications. Quantitative trait loci (QTL) for the studied traits were carried out for additive effects and additive×additive epistatic interactions using the QTL Network 2.0 software based on the mixed-linear model. A number of 177 microsatellite and 51 retrotransposon markers were used to construct the linkage map. In the present study stem length, plant weight, peduncle length, and peduncle weight were measured. Results showed that under both normal and water deficit conditions, both positive and negative transgressive segregations were significant, also the highest and lowest broad and narrow sense heritability were estimated for stem length (73.69 and 36.74 percent) and peduncle length (40.51 and 20.25 percent), respectably. The results showed that under the normal condition, seven QTLs (R2A=5 to 11%), and eight additive×additive epistatic interactions (R2AA=1.66 to 10.92%) were significant. Under the water deficit condition seven QTLs (R2A=4.27 to 9%), and five additive×additive epistatic interactions (R2AA=3.8 to 14.58%) were significant. Five QTLs from the 14 QTLs identified in this study were located in chromosome 5A, indicating the importance of this chromosome in controlling the plant architecture characteristics and possibly using it for marker-assisted selection and genetic engineering.


Carter A., Hansen J., Kohler T., Chen X., and Zemetra R. (2005). Development of a recombinant inbred line (RIL) population in soft white winter wheat. Crop Science Annual Meeting, Nov 7-10, Salt Lake City, UT, U.S.A. 213–221.
Cui F., Fan X., Zhao C., Zhang W., Chen M., Ji J., and Li J. (2016). A novel genetic map of wheat: utility for mapping QTL for yield under different nitrogen treatments. BMC Genetics, 15(57): 1–17.
Ehdaie B., Mohammadi S. A., and Nouraein M. (2016). QTLs for root traits at mid-tillering and for root and shoot traits at maturity in a RIL population of spring bread wheat grown under well-watered conditions. Euphytica, 211(1):17–38.
El-Feki W. (2010). Mapping quantitative trait loci for bread making quality and agronomic traits in winter wheat under different soil moisture levels. Ph.D. dissertation, Colorado State University, U.S.A.
George M. L. C, Prasanna B. M., Rathore R. S., Setty, T. A. S, Kasim F., Azrai M., Vasal S., Balla O., Hautea D., Canama A., Regalado E., Vargas Khairallah M., Jeffers M., and Hoisingotn D. (2003). Identification of QTLs conferring resistance to downy mildews of maize in Asia. Theoretical and Applied Genetics, 107: 544–551.
Griffiths S., Simmonds J., Leverington M., Wang Y.K., Fish L., Sayers L., Alibert L., Orford S., Wingen L., and Snape J. (2012). Meta-QTL analysis of the genetic control of crop height in elite European winter wheat germplasm. Molecular Breeding, 29: 159–171.
Huang X. Q., Cloutier S., Lycar L., Radovanovic N., Humphreys D.G., Noll J. S., Somers D. J., and Brown P. D. (2006). Molecular detection of QTL for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.). Theoretical and Applied Genetics, 113: 753–766.
Kumar A., Mantovani E. E., Seetan R., Soltani A., Echeverry-Solarte M., Jain S., Simsek S., Doehlert D., Alamri M. S., Elias E. M., Kianian S. F., and Mergoum M. (2016). Dissection of genetic factors underlying wheat kernel shape and size in an elite x nonadapted cross using a high density SNP linkage map. Plant Genome, 9: 2–22.
Law C. N., Snape J. W., and Worland A. J. (1978). Genetic relationship between height and yield in wheat. Heredity, 40: 133–151.
Liu S., Zhou R., Dong Y., Li P., and Jia J. (2006). Development and utilization of introgression lines using synthetic wheat as donor. Theoretical and Applied Genetics, 112: 1360–1373.
Ma W. J., Sutherland M. W., Kammholz S., Banks P., Brennan P., Bovill W., and Daggard G. (2007). Wheat flour protein content and water absorption analysis in a doubled haploid population. Journal of Cereal Science, 45: 302–308.
Maccaferri M, Sanguineti M. C., Corneti S., Ortega J. L. A., Ben Salem M., Bort J., DeAmbrogio E., del Moral L. F. G., Demontis A., El-Ahmed A., Maalouf F., Machlab H., Martos V., Moragues M., Motawaj J., Nachit M., Nserallah N., Ouabbou H., Royo C., Slama A., and Tuberosa R. (2008). Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability. Genetics, 178: 489–511.
Marone D., Laido G., Gadaleta A., Colasuonno P., Ficco D. B. M., Giancaspro A., Giove S., Panio G., Russo M. A., De Vita P., Cattivelli L., Papa R., Blanco A., and Mastrangelo A. M. (2012). High-density consensus map of A and B wheat genomes. Theoretical and Applied Genetics, 125: 1619–1638.
McCartney C. A., Somers D. J., Humphreys D. G., Lukow O., Ames N., Noll J., Cloutier S., and McCallum B. D. (2005). Mapping quantitative trait loci controlling agronomic traits in the spring wheat cross RL4452 3 ‘AC Domain. Genome, 48: 870–883.
Neumann K., Kobiljski B., Dencic S., Varshney R. K, and Borner A. (2011). Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.). Molecular Breeding, 27: 37–58.
Rebetzke G. J., Ellis M. H., Bonnett D. G., Mickelson B., Condon A. G., and Richards R. A. (2012). Height reduction and agronomic performance for selected gibberellin-responsive dwarfing genes in bread wheat (Triticum aestivum L.). Field Crops Research, 126: 87–96.
Rebetzke G., Van Herwaarden A., Jenkins C., Weiss M., Lewis D., Ruuska S., and Richards R. (2012). Quantitative trait loci for water-soluble carbohydrates and associations with agronomic traits in wheat. Crop and Pasture Science, 5: 891–905.
Schnurbusch T., Paillard S., Fossati D., Messmer M., Schachermayr G., Winzeler M., and Keller B. (2003). Detection of QTLs for Stagonospora glume blotch resistance in Swiss winter wheat. Theoretical and Applied Genetics, 107: 1226–1234.
Tanksley S. D. (1993). Molecular markers in plant breeding. Plant Molecular Biology Reporter, 1: 3–8.
Wang Z., Wu X., Ren Q., Chang X., Li, R., and Jing R. (2010). QTL mapping for developmental behavior of plant height in wheat (Triticum aestivum L.). Euphytica, 174(3): 447–458.
Wu X., Chang X., and Jing R. (2012). Genetic insight into yield-associated traits of wheat grown in multiple rain-fed environments. PLOS ONE, 7(2): e31249.
Zhang J., Huang S., Fosu-Nyarko J., Dell B., McNeil M., Waters I., Moolhuijzen P., Conocono E., and Appels R. (2008). The genome structure of the 1-FEH genes in wheat (Triticum aestivum L.): new markers to track stem carbohydrates and grain filling QTL in breeding. Molecular Breeding, 22: 339–351.
Zhang K., Tian J.,  Zhao L., and Wang S. (2008). Mapping QTLs with epistatic effects and QTL×environment interactions for plant height using a doubled haploid population in cultivated wheat. Journal of Genetics and Genomics, 35(2): 119–127.
Zhang Z. H., Li P., Wang L. X., Hu Z. L., Zhu L. H., and Zhu Y. G. (2004). Genetic dissection of the relationships of biomass production and partitioning with yield and yield related traits in rice. Plant Science, 167: 1–8.