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Life Science Research and Sustainable Development                                   ISBN: 978-98-84663-33-9

               width, and thickness), and the degree of filling(Xing et al.,2010).Rice varieties differ tremendously
               in  thelevels  of  grain  yield,  with  immense  variabilityin  the  combinations  of  component  traits
               owingto the vast diversity of genetic constitutions.In addition, yield levels of rice varietiesare also
               greatly influenced by the environmentalconditions and the field management practices.There are
               also remarkable interactionsbetween genotypes and environments such thatvarieties are adapted
               to specific environmentalconditions.
                       Besides  these  traits  the  other  physiological  traits  of  plant  system  also  contributed  to
               enhance yield. The traits like Plant height (PHT), Total Number of tillers (NT), Effective number
               of  tillers  (ENT),  Flag  leaf  length  (FLL),  Flag  leaf  width(FLW)  and  Panicle  length(PL)  also
               contributed to increases the grain yield. Many studies show that these traits contributed to yield
               indirectly by enhancing the rate of photosynthesis and thus increases the rate of transportation
               of photo assimilates from source to sink and thus contributed to enhance yield.
               3. Molecular markers and dissection of the molecular bases of rice yield traits
                       The inheritance of quantitative traits classicallyinvolves multiple genes, each having a
               small effectthat is sensitive to environmental changes.These traits are known in general as having
               lowheritability and thus have earned the reputationof being difficult to investigate. However,the
               development of molecular marker, genome mapping, and QTL analysis technologies hasgreatly
               facilitated  the  investigation  of  geneticbases  of  quantitative  traits.  In  rice,  researchershave
               constructed  high-density  genetic  linkagemaps  based  on  restriction  fragment  length
               polymorphism(RFLP) and simple sequence repeat(SSR) markers (McCouchet al.,1988; Kurataet
               al., 1994 and McCouchet al.,2002). With the rapid development of different types of DNA markers,
               marker-assisted  selection  (MAS)  has  been  playing  a  prominent  role  in  plant  breeding.  Both
               random genomic marker and genic marker could be used in MAS. The random genomic markers
               like RFLP have been used to construct high density linkage maps based on restriction fragment
               length polymorphism and simple sequence repeat (SSR) markers for genotyping experiments.
               However, are limited in MAS application due to their relatively low accuracy in selection caused
               by the genetic recombination between the marker and the target gene. The genic or functional
               markers,  derived  from  polymorphic  loci  within  genes  affecting  phenotypic  variation,  would
               overcome the problem of the recombination, and thus are highly predictive of phenotype, and
               will  facilitate  efficient  selection  of  favorable  alleles  in  breeding  programs  (Andersen  and
               Lubberstedt, 2003). However, there are still many challenges such as existence of any particular
               alleles in a given breeding line and availability of user friendly DNA markers for MAS application
               in complex traits (Xuet al., 2005). Identification of agronomically important genes and mining of
               the  alleles  in  natural  populations  are  primarily  required  to  develop  the  genic  or  functional
               markers (Takeda and Matsuoka, 2008).
                       Fanet al. (2009)has been developed a cleaved amplified polymorphic sequence (CAPS)
               marker based on the C-A mutation in GS3 loci, a gene contributed for grain size.  This CAPS
               marker is highly associated with grain length, thus could be used for selection of rice grain length
               in  breeding.  However,  its  efficiency  in  MAS  is  still  limited  as  the  PCR  product  needs  to  be
               digested by a restriction endonuclease and this procedure is relatively expensive and elaborative
               once  applied  to  a  largebreeding  population.  It  would  be  useful  to  develop  somePCR-based
               functional markers for grain length improvement.Knowledge of the allelic diversity in GS3 and
               their effects would be helpful for genetic manipulation of grain size in rice. Takano-Kai et al.(2009)
               also demonstrated that the C-A mutation in GS3 gene played a critical role in seed size differences
               among the modern subpopulations of O. sativa.




                https://jesjalna.org/Zoology-Publications/index.html   37   Department of Zoology, J. E. S. College, Jalna
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