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					عنوان دوره: پانزدهمین کنگره زراعت و اصلاح نباتات ایران
				نویسندگان
		
		Sara  Farokhzadeh1 ، Barat Ali  Fakheri2 ، Nafiseh  Mahdinejad3 ، Sirus  Tahmasebi4 ، Abbas  Mirsoleimani5 ، Esmaeil  Farokhnejad6 ، Alireza  Salehifard7 		
		
					1PhD. Student, Department of Plant Breeding and Biotechnology Faculty of Agriculture, University of Zabol, Iran, Zabol, Sfarokhzadeh87@gmail.com
					2Full Professor, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol Zabol, Iran, Ba_fakheri@yahoo.com
					3Assistant Professor, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Iran, nmahdinezhad52@gmail.com
					4Assistant Professor, Department of Seed and Plant Improvement Research, Fars Agriculture and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization AREEO, Shiraz, Iran Stahmasebi2000@yahoo.com
					5Assistant Professor, Department of Plant Production, Shiraz University, Collage of Agriculture and Natural Resources of Darab, Darab, Iran, soleiman@shirazu.ac.ir
					6Experts of Soil Science Department, Shiraz University, Collage of Agriculture and Natural Resources of Darab, Darab, Iran
					7Experts of Soil Science Department, Shiraz University, Collage of Agriculture and Natural Resources of
				چکیده
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		کلیدواژه ها
		Title
			QTL Analysis of Biochemical Traits in Wheat Population under Aluminum
Stress
			Authors
			
							Abstract
				Aluminum stress is one of the most important abiotic stresses affecting crop productivity worldwide. A
population of recombinant inbred lines (RILs) derived from a cross between SeriM82 and Babax, was used to
determine the main-effect QTLs, epistatic QTLs and GE effects of grain yield and biochemical traits under
normal and aluminum stress conditions in two years. This investigation was conducted using an alpha lattice
design with two replications. Epistatic QTLs and additive -by-environment interactions were identified by QTL
Network program in the joint analyses of multi-environment phenotypic values, and 31 additive QTLs and 9
pairs of epistatic QTLs were detected. There were six additive QTLs and two pairs of epistatic QTLs identified
for aluminum amount, six additive QTLs and three pairs of epistatic QTLs identified for Na amount, 11 additive
QTLs and two pairs of epistatic QTLs identified for K amount and eight additive QTLs and two pairs of epistatic
QTLs for grain yield. The phenotypic variation explained by each additive, epistatic QTL and additive ×
environment interaction ranged from 0.001 to.77% , 0.05 to 0.59% and 0.22% to 1.47%., respectively. Of maineffect
QTLs, AL and Na QTLs at map positions 70.80 and 0.00 were co-located with K QTLs. Stable QTLs were
included 2 QTLs for AL, 2 for Na and 4 for GYLD on linkage groups 1D-a, 2B, 2D, 6A-a, 6B and 7A
controlling different traits. Therefore, the markers closely linked to stable QTLs can be used for marker-assisted
selection in breeding programs to improve the grain yield and biochemical traits under Al stress.
						population of recombinant inbred lines (RILs) derived from a cross between SeriM82 and Babax, was used to
determine the main-effect QTLs, epistatic QTLs and GE effects of grain yield and biochemical traits under
normal and aluminum stress conditions in two years. This investigation was conducted using an alpha lattice
design with two replications. Epistatic QTLs and additive -by-environment interactions were identified by QTL
Network program in the joint analyses of multi-environment phenotypic values, and 31 additive QTLs and 9
pairs of epistatic QTLs were detected. There were six additive QTLs and two pairs of epistatic QTLs identified
for aluminum amount, six additive QTLs and three pairs of epistatic QTLs identified for Na amount, 11 additive
QTLs and two pairs of epistatic QTLs identified for K amount and eight additive QTLs and two pairs of epistatic
QTLs for grain yield. The phenotypic variation explained by each additive, epistatic QTL and additive ×
environment interaction ranged from 0.001 to.77% , 0.05 to 0.59% and 0.22% to 1.47%., respectively. Of maineffect
QTLs, AL and Na QTLs at map positions 70.80 and 0.00 were co-located with K QTLs. Stable QTLs were
included 2 QTLs for AL, 2 for Na and 4 for GYLD on linkage groups 1D-a, 2B, 2D, 6A-a, 6B and 7A
controlling different traits. Therefore, the markers closely linked to stable QTLs can be used for marker-assisted
selection in breeding programs to improve the grain yield and biochemical traits under Al stress.
Keywords
			
			Bread wheat, Aluminum stress, epistasis, QTL