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        <dc:title>Towards defining heterotic pools for accelerating hybrid breeding in pigeonpea</dc:title>
        <dc:creator>Saxena, R K</dc:creator>
        <dc:creator>Singh, V</dc:creator>
        <dc:creator>Rathore, A</dc:creator>
        <dc:creator>Yu, O</dc:creator>
        <dc:creator>Kim, C</dc:creator>
        <dc:creator>Kumar, V</dc:creator>
        <dc:creator>Patel, K</dc:creator>
        <dc:creator>Khan, A W</dc:creator>
        <dc:creator>Tyagi, K</dc:creator>
        <dc:creator>An, S</dc:creator>
        <dc:creator>Seon, D</dc:creator>
        <dc:creator>Kuruvinashetti, M S</dc:creator>
        <dc:creator>Kim, J</dc:creator>
        <dc:creator>BellbullKim, -</dc:creator>
        <dc:creator>Zhang, W</dc:creator>
        <dc:creator>Sameer Kumar, C V</dc:creator>
        <dc:creator>Muniswamy, S</dc:creator>
        <dc:creator>Saxena, K B</dc:creator>
        <dc:creator>Reif, J C</dc:creator>
        <dc:creator>Varshney, R K</dc:creator>
        <dc:subject>Pigeonpea</dc:subject>
        <dc:subject>Genetics and Genomics</dc:subject>
        <dc:description>Recently released pigeonpea hybrids for cultivation in farmers’&#13;
fields have shown their potential to elevate the yield levels. For&#13;
instance, the world’s first grain legume hybrid of pigeonpea&#13;
ICPH 2671 showed 47% yield advantage over the check varieties.&#13;
Generally, the development of such hybrids is based on&#13;
selection efficiency of breeding program; breeders make thousands&#13;
of random crosses between cytoplasmic male sterile&#13;
(CMS) lines and tester lines. In order to enhance the selection&#13;
efficiency, genomic diversity along with the phenotyping data&#13;
have been used for predicting the best possible parental combinations.&#13;
This approach has been successfully used in defining&#13;
heterotic pools in many crop species such as maize, rice, sunflower,&#13;
and rapeseeds.. With an aim to define heterotic pools in&#13;
pigeonpea, a set of 104 parental lines (09 CMS, 13 maintainers&#13;
and 82 restorers) have been re-sequenced following whole genome&#13;
re-sequencing (WGRS) approach. WGRS yielded a total&#13;
of 511 GB data with the coverage ranging from 5X to 10X. A&#13;
total of 3.4 million SNPs have been identified across parental&#13;
lines. Structural variations such as copy number and presence/&#13;
absence variations have been also identified. In parallel, these&#13;
parental lines have been used to develop test crosses in factorial&#13;
mating design. F1 hybrids along with parental lines were&#13;
phenotyped for yield and yield related traits at two locations&#13;
in India, namely ICRISAT, Telangana State and ARS-Gulbarga,&#13;
Karnataka. The availability of genome-wide SNP variations&#13;
combined with the phenotypic data will be used for deploying&#13;
genomic selection to define hetereotic pools in pigeonpea for&#13;
accelerating hybrid breeding program.</dc:description>
        <dc:date>2017-02</dc:date>
        <dc:type>Conference or Workshop Item</dc:type>
        <dc:type>PeerReviewed</dc:type>
        <dc:format>application/pdf</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/10314/1/Abstract_Book_420.pdf</dc:identifier>
        <dc:identifier>  Saxena, R K and Singh, V and Rathore, A and Yu, O and Kim, C and Kumar, V and Patel, K and Khan, A W and Tyagi, K and An, S and Seon, D and Kuruvinashetti, M S and Kim, J and BellbullKim, - and Zhang, W and Sameer Kumar, C V and Muniswamy, S and Saxena, K B and Reif, J C and Varshney, R K  (2017) Towards defining heterotic pools for accelerating hybrid breeding in pigeonpea.  In: InterDrought-V, February 21-25, 2017, Hyderabad, India.     </dc:identifier></oai_dc:dc>
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