<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Molecular mapping of seed protein content in pigeonpea – a drought tolerant crop of the semi-arid tropics</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">J</mods:namePart><mods:namePart type="family">Obala</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R K</mods:namePart><mods:namePart type="family">Saxena</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">V K</mods:namePart><mods:namePart type="family">Singh</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S M</mods:namePart><mods:namePart type="family">Kale</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">V</mods:namePart><mods:namePart type="family">Garg</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">V</mods:namePart><mods:namePart type="family">Kumar</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">C V</mods:namePart><mods:namePart type="family">Sameer Kumar</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">P</mods:namePart><mods:namePart type="family">Tongoona</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">J</mods:namePart><mods:namePart type="family">Sibiya</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">K B</mods:namePart><mods:namePart type="family">Saxena</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R K</mods:namePart><mods:namePart type="family">Varshney</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>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.</mods:abstract><mods:classification authority="lcc">Molecular Biology</mods:classification><mods:classification authority="lcc">Semi-Arid Tropics</mods:classification><mods:classification authority="lcc">Pigeonpea</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2017-02</mods:dateIssued></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mods:mods>