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        <dc:title>Molecular mapping of seed protein content in pigeonpea – a drought tolerant crop of the semi-arid tropics</dc:title>
        <dc:creator>Obala, J</dc:creator>
        <dc:creator>Saxena, R K</dc:creator>
        <dc:creator>Singh, V K</dc:creator>
        <dc:creator>Kale, S M</dc:creator>
        <dc:creator>Garg, V</dc:creator>
        <dc:creator>Kumar, V</dc:creator>
        <dc:creator>Sameer Kumar, C V</dc:creator>
        <dc:creator>Tongoona, P</dc:creator>
        <dc:creator>Sibiya, J</dc:creator>
        <dc:creator>Saxena, K B</dc:creator>
        <dc:creator>Varshney, R K</dc:creator>
        <dc:subject>Molecular Biology</dc:subject>
        <dc:subject>Semi-Arid Tropics</dc:subject>
        <dc:subject>Pigeonpea</dc:subject>
        <dc:description>Pigeonpea is a uniquely drought and heat tolerant crop that provides&#13;
a major source of dietary protein to nearly a billion people&#13;
in the tropical and semi-arid tropics of the world. Despite its importance&#13;
as a source of dietary protein the genetic control of its&#13;
seed protein content (SPC) is poorly understood. The present&#13;
study used high density linkage maps to identify quantitative&#13;
trait loci (QTL) associated with SPC and its relationship with&#13;
100-seed weight (HSW), seed yield (SY), days to first flower&#13;
(DTFF) and growth habit (GH). Five F2 mapping populations&#13;
segregating for SPS including ICP 11605 × ICP 14209, ICP 8863&#13;
× ICP 11605, HPL 24 × ICP 11605, ICP 5529 × ICP 11605 and&#13;
ICP 8863 × ICPL 87119 were genotyped using genotyping-by-sequencing&#13;
and phenotyped for the traits. The average inter-marker&#13;
distance on the population-specific maps varied from 1.6cM&#13;
to 3.5cM.On the basis of the population-specific and consensus&#13;
linkage maps, 48main effect QTLs (M-QTLs)with phenotypic&#13;
variance explained (PVE) ranging from 0.7 to 23.5% were detected&#13;
across five populations, of which 15 M-QTLs were major&#13;
(PVE≥10). Twenty seven of the M-QTLs could be collapsed&#13;
into six consensus QTL regions. In addition, 34 epistatic QTLs&#13;
(E-QTLs) with PVE ranging from 6.3% to 69.8% were detected&#13;
across populations. Co-localization of M-QTLs and E-QTLs affecting&#13;
SPC and the agronomic traits explained the genetic basis&#13;
of the significant (P &lt; 0.05) correlations of SPC with HSW (r2 =&#13;
0.22 to 0.30), SY (r2 = -0.18 to -0.28), DTFF (r2 = -0.17 to -0.31)&#13;
and GH (r2 = 0.18 to 0.34). The quantitative nature of genetic&#13;
control of SPC and its relationship with agronomic traits suggest&#13;
that marker-assisted recurrent selection or genomic selection&#13;
would be effective for the simultaneous improvement of SPC&#13;
and other important traits.</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/10727/1/302.pdf</dc:identifier>
        <dc:identifier>  Obala, J and Saxena, R K and Singh, V K and Kale, S M and Garg, V and Kumar, V and Sameer Kumar, C V and Tongoona, P and Sibiya, J and Saxena, K B and Varshney, R K  (2017) Molecular mapping of seed protein content in pigeonpea – a drought tolerant crop of the semi-arid tropics.  In: InterDrought-V, February 21-25, 2017, Hyderabad, India.     </dc:identifier></oai_dc:dc>
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