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        <dc:title>Phenotypic and genetic diversity in the foxtail millet&#13;
(setaria italica (l.) p. beauv.) core collection)&#13;
</dc:title>
        <dc:creator>Vetriventhan, M</dc:creator>
        <dc:subject>Millets</dc:subject>
        <dc:description>Foxtail millet core collection consisting of 155 accessions was evaluated at three&#13;
environments for 12 qualitative and 13 quantitative traits to study the phenotypic diversity and to&#13;
identify trait specific accessions. Foxtail millet core collection was also molecularly profiled&#13;
using 84 SSR markers to study molecular genetic diversity, population structure and to identify&#13;
SSR markers associated with the agronomic traits.&#13;
In REML analysis variance due to genotypes (σ2&#13;
g) and genotype × environment (σ2&#13;
ge)&#13;
were significant for all the 13 quantitative traits. On the basis of phenotypic dissimilarity&#13;
between pair of accessions, ten pairs of most diverse accessions were identified for breeding&#13;
program for the developing high yielding cultivars with a broad genetic base and for the&#13;
development of mapping populations. On the basis of pooled BLUPs (Best Linear Unbiased&#13;
Predictors) of three environments, we have identified trait specific accessions for economically&#13;
important traits such as yield and its traits contributing to yield (15 accessions for each trait).&#13;
These accessions could be used in recombination breeding to develop cultivars with desirable&#13;
combination of traits.&#13;
The SSR markers detected a total of 1,356 alleles with an average of 16.14 alleles per&#13;
locus. Of these, 368 were rare alleles; 906 common alleles; and 82 the most frequent alleles.&#13;
Sixty one unique alleles which were specific to a particular accession and useful for germplasm&#13;
identification were also detected. The genetic diversity of foxtail millet in this study was&#13;
correlated well with racial classification and the race indica showed greater genetic distance&#13;
from the maxima and moharia. Ten pairs of genetically most diverse accessions were identified.&#13;
Large molecular variation observed in core collection could be utilized effectively for selection&#13;
of diverse parents for breeding cultivars and development of mapping populations. Mantel test&#13;
showed significant correlation between phenotypic and molecular dissimilarity matrix.&#13;
The STRUCTURE analysis provided the evidence for the presence of four&#13;
subpopulations. The mixed linear model (MLM) was used and the number of significant marker&#13;
trait association was 130 in E1, 69 in E2 and 106 in E3 at P≤0.05, whereas only 49 in E1, 23 in&#13;
E2 and 61 in E3 were found to be highly significant MTAs at P≤0.01. In pooled BLUPs of three&#13;
environments, a total of 108 MTAs were detected at P≤0.05. Of these 18 SSR markers showed&#13;
37 significant associations at P≤0.01 with yield and yield contributing traits. Fifteen MTAs, that&#13;
occurred in all three environments and overall in pooled data were identified as stable. Our&#13;
research provided a first report of association study for yield and yield contributing traits in&#13;
foxtail millet using SSR markers. The results from this research also demonstrated the use of&#13;
core collection as association mapping panel to disclose marker-trait associations in foxtail millet&#13;
for yield traits that could lead to effective utilization of ex-situ conserved genetic resources.</dc:description>
        <dc:date>2011</dc:date>
        <dc:type>Thesis</dc:type>
        <dc:type>NonPeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/2277/1/Mr_Vetriventhan.pdf</dc:identifier>
        <dc:identifier>  Vetriventhan, M  (2011) Phenotypic and genetic diversity in the foxtail millet (setaria italica (l.) p. beauv.) core collection).  PHD thesis, Tamil Nadu Agricultural University.   </dc:identifier></oai_dc:dc>
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