Document Detail


Rice artificial hybridization for genetic analysis.
MedLine Citation:
PMID:  23135840     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Artificial hybridization has probably been practiced since ancient time; however, the science of genetics did not initiate until Gregor Mendel conducted a series of crosses between different pure lines of garden pea and made careful observations and systematical analyses of their offspring. Artificial hybridization or crossing between carefully chosen parents has been and still is the primary way to transfer genes from different germplasm for self-pollinated rice. Through gene recombination, novel genetic variation is created by different arrangements of genes existing in parental lines. Procedures of artificial hybridization involve the selection of appropriate panicles from representative plants of the female parents, the emasculation of female parents, and the pollination of emasculated panicles with abundant pollens of selected male parents. Of the numerous proposed methods, hot water and vacuum emasculation have proven to be the most robust and reliable ones. A successful and efficient hybridization program also relies on the knowledge of parental lines or germplasm, the reproductive biology and development of rice, the conditions needed to promote flowering and seed development, and the techniques to synchronize flowering of diverse parents.
Authors:
Xueyan Sha
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Methods in molecular biology (Clifton, N.J.)     Volume:  956     ISSN:  1940-6029     ISO Abbreviation:  Methods Mol. Biol.     Publication Date:  2013  
Date Detail:
Created Date:  2012-11-08     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214969     Medline TA:  Methods Mol Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1-12     Citation Subset:  IM    
Affiliation:
Rice Research Station, Louisiana State University Agricultural Center, Crowley, LA, USA, xsha@agcenter.lsu.edu.
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