WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/779,
	  title     = {Classifying of Maize Inbred Lines into Heterotic Groups using Diallel Analysis},
	  author    = {Mozhgan Ziaie Bidhendi and  Rajab Choukan and  Farokh Darvish and  Khodadad Mostafavi and  Eslam Majidi},
	  country	= {},
	  institution	= {},
	  abstract     = {The selection of parents and breeding strategies for
the successful maize hybrid production will be facilitated by
heterotic groupings of parental lines and determination of combining
abilities of them. Fourteen maize inbred lines, used in maize breeding
programs in Iran, were crossed in a diallel mating design. The 91 F1
hybrids and the 14 parental lines were studied during two years at
four locations of Iran for investigation of combining ability of
gentypes for grain yield and to determine heterotic patterns among
germplasm sources, using both, the Griffing-s method and the biplot
approach for diallel analysis. The graphical representation offered by
biplot analysis allowed a rapid and effective overview of general
combining ability (GCA) and specific combining ability (SCA)
effects of the inbred lines, their performance in crosses, as well as
grouping patterns of similar genotypes. GCA and SCA effects were
significant for grain yield (GY). Based on significant positive GCA
effects, the lines derived from LSC could be used as parent in crosses
to increase GY. The maximum best- parent heterosis values and
highest SCA effects resulted from crosses B73 × MO17 and A679 ×
MO17 for GY. The best heterotic patterns were LSC × RYD, which
would be potentially useful in maize breeding programs to obtain
high-yielding hybrids in the same climate of Iran.},
	    journal   = {International Journal of Agricultural and Biosystems Engineering},
	  volume    = {6},
	  number    = {7},
	  year      = {2012},
	  pages     = {556 - 559},
	  ee        = {https://publications.waset.org/pdf/779},
	  url   	= {https://publications.waset.org/vol/67},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 67, 2012},
	}