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        <dc:title>Seed protein content and its relationships with agronomic traits in pigeonpea is controlled by both main and epistatic effects QTLs</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, C V S</dc:creator>
        <dc:creator>Saxena, K B</dc:creator>
        <dc:creator>Tongoona, P</dc:creator>
        <dc:creator>Sibiya, J</dc:creator>
        <dc:creator>Varshney, R K</dc:creator>
        <dc:subject>Pigeonpea</dc:subject>
        <dc:subject>Genetics and Genomics</dc:subject>
        <dc:subject>Food and Nutrition</dc:subject>
        <dc:description>The genetic architecture of seed protein content (SPC) and its relationships to agronomic traits&#13;
in pigeonpea is poorly understood. Accordingly, five F2 populations segregating for SPC and four&#13;
agronomic traits (seed weight (SW), seed yield (SY), growth habit (GH) and days to first flowering&#13;
(DFF)) were phenotyped and genotyped using genotyping-by-sequencing approach. Five high-density&#13;
population-specific genetic maps were constructed with an average inter-marker distance of 1.6 to&#13;
3.5 cM, and subsequently, integrated into a consensus map with average marker spacing of 1.6 cM.&#13;
Based on analysis of phenotyping data and genotyping data, 192 main effect QTLs (M-QTLs) with&#13;
phenotypic variation explained (PVE) of 0.7 to 91.3% were detected for the five traits across the five&#13;
populations. Major effect (PVE ≥ 10%) M-QTLs included 14 M-QTLs for SPC, 16 M-QTLs for SW, 17&#13;
M-QTLs for SY, 19 M-QTLs for GH and 24 M-QTLs for DFF. Also, 573 epistatic QTLs (E-QTLs) were&#13;
detected with PVE ranging from 6.3 to 99.4% across traits and populations. Colocalization of M-QTLs&#13;
and E-QTLs explained the genetic basis of the significant (P &lt; 0.05) correlations of SPC with SW,&#13;
SY, DFF and GH. The nature of genetic architecture of SPC and its relationship with agronomic traits&#13;
suggest that genomics-assisted breeding targeting genome-wide variations would be effective for the&#13;
simultaneous improvement of SPC and other important traits.</dc:description>
        <dc:publisher>Nature Research</dc:publisher>
        <dc:date>2020-01</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/11583/1/s41598-019-56903-z.pdf</dc:identifier>
        <dc:identifier>  Obala, J and Saxena, R K and Singh, V K and Kale, S M and Garg, V and Kumar, C V S and Saxena, K B and Tongoona, P and Sibiya, J and Varshney, R K  (2020) Seed protein content and its relationships with agronomic traits in pigeonpea is controlled by both main and epistatic effects QTLs.  Scientific Reports (TSI), 10 (1).  pp. 1-17.  ISSN 2045-2322     </dc:identifier>
        <dc:relation>https://doi.org/10.1038/s41598-019-56903-z</dc:relation>
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