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QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.)

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Title QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.)
Not Available
 
Creator Balram Marathi
Smriti Guleria
T. Mohapatra
Rajender Parsad
M. Nagarajan
K.K. Vinod
Salwinder S. Atwal
Vinod K. Prabhu
Nagender K. Singh
Ashok K. Singh
 
Subject Rice
Recombinant inbred lines
QTL Analysis
 
Description Not Available
Background: Rice is staple food for more than half of the world’s population including two billion Asians,
who obtain 60-70% of their energy intake from rice and its derivatives. To meet the growing demand from
human population, rice varieties with higher yield potential and greater yield stability need to be developed.
The favourable alleles for yield and yield contributing traits are distributed among two subspecies i.e., indica
and japonica of cultivated rice (Oryza sativa L.). Identification of novel favourable alleles in indica/japonica will pave
way to marker-assisted mobilization of these alleles in to a genetic background to break genetic barriers to yield.
Results: A new plant type (NPT) based mapping population of 310 recombinant inbred lines (RILs) was used to
map novel genomic regions and QTL hotspots influencing yield and eleven yield component traits. We identified
major quantitative trait loci (QTLs) for days to 50% flowering (R2 = 25%, LOD = 14.3), panicles per plant (R2 = 19%,
LOD = 9.74), flag leaf length (R2 = 22%, LOD = 3.05), flag leaf width (R2 = 53%, LOD = 46.5), spikelets per panicle
(R2 = 16%, LOD = 13.8), filled grains per panicle (R2 = 22%, LOD = 15.3), percent spikelet sterility (R2 = 18%,
LOD = 14.24), thousand grain weight (R2 = 25%, LOD = 12.9) and spikelet setting density (R2 = 23%, LOD = 15)
expressing over two or more locations by using composite interval mapping. The phenotypic variation (R2
) ranged
from 8 to 53% for eleven QTLs expressing across all three locations. 19 novel QTLs were contributed by the NPT
parent, Pusa1266. 15 QTL hotpots on eight chromosomes were identified for the correlated traits. Six epistatic QTLs
effecting five traits at two locations were identified. A marker interval (RM3276-RM5709) on chromosome 4
harboring major QTLs for four traits was identified.
Conclusions: The present study reveals that favourable alleles for yield and yield contributing traits were
distributed among two subspecies of rice and QTLs were co-localized in different genomic regions. QTL hotspots
will be useful for understanding the common genetic control mechanism of the co-localized traits and selection for
beneficial allele at these loci will result in a cumulative increase in yield due to the integrative positive effect of
various QTLs. The information generated in the present study will be useful to fine map and to identify the genes
underlying major robust QTLs and to transfer all favourable QTLs to one genetic background to break genetic
barriers to yield for sustained food security
Not Available
 
Date 2016-12-01T07:48:45Z
2016-12-01T07:48:45Z
2012-08-10
 
Type Research Paper
 
Identifier 106. Balram Marathi, Smriti Guleria, Trilochan Mohapatra, Rajender Parsad, Nagarajan M, Vinod K.K., Salwinder S. Atwal, Vinod K. Prabhu, Nagender K. Singh and Ashok K. Singh (2012). QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.). BMC Plant Biology, 1-19. doi:10.1186/1471-2229-12-137.
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/777
 
Language English
 
Relation Not Available;
 
Publisher BioMed Central Ltd. T