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Unraveling the genetic architecture of subtropical maize (Zea mays L.) lines to assess their utility in breeding programs

OAR@ICRISAT

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Relation http://oar.icrisat.org/7284/
http://dx.doi.org/10.1186/1471-2164-14-877
 
Title Unraveling the genetic architecture of subtropical maize (Zea mays L.) lines to assess their utility in breeding programs
 
Creator Thirunavukkarasu, N
Hossain, F
Shiriga, K
Mittal, S
Arora, K
Rathore, A
Mohan, S
Shah, T
Sharma, R
Namratha, P M
Mithra, A S V
Mohapatra, T
Gupta, H S
 
Subject Genetics and Genomics
Agriculture-Farming, Production, Technology, Economics
 
Description Background

Maize is an increasingly important food crop in southeast Asia. The elucidation of its genetic architecture, accomplished by exploring quantitative trait loci and useful alleles in various lines across numerous breeding programs, is therefore of great interest. The present study aimed to characterize subtropical maize lines using high-quality SNPs distributed throughout the genome.

Results

We genotyped a panel of 240 subtropical elite maize inbred lines and carried out linkage disequilibrium, genetic diversity, population structure, and principal component analyses on the generated SNP data. The mean SNP distance across the genome was 70 Kb. The genome had both high and low linkage disequilibrium (LD) regions; the latter were dominant in areas near the gene-rich telomeric portions where recombination is frequent. A total of 252 haplotype blocks, ranging in size from 1 to 15.8 Mb, were identified. Slow LD decay (200-300 Kb) at r2
 
Publisher BioMed Central
 
Date 2013
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/7284/1/BMCGenomics_14_877_2013.pdf
Thirunavukkarasu, N and Hossain, F and Shiriga, K and Mittal, S and Arora, K and Rathore, A and Mohan, S and Shah, T and Sharma, R and Namratha, P M and Mithra, A S V and Mohapatra, T and Gupta, H S (2013) Unraveling the genetic architecture of subtropical maize (Zea mays L.) lines to assess their utility in breeding programs. BMC Genomics, 14 (877). pp. 1-30. ISSN 1471-2164