TY  - JOUR
AV  - public
A1  - Obala, J
A1  - Saxena, R K
A1  - Singh, V K
A1  - Kale, S M
A1  - Garg, V
A1  - Kumar, C V S
A1  - Saxena, K B
A1  - Tongoona, P
A1  - Sibiya, J
A1  - Varshney, R K
TI  - Seed protein content and its relationships with agronomic traits in pigeonpea is controlled by both main and epistatic effects QTLs
UR  - https://doi.org/10.1038/s41598-019-56903-z
JF  - Scientific Reports (TSI)
SN  - 2045-2322
PB  - Nature Research
N1  - Authors are thankful to the United States Agency for International Development (USAID) and Department of
Agriculture Cooperation & Farmers Welfare, Ministry of Agriculture & Farmers Welfare, Government of India;
for funding support. We are thankful to Vinay Kumar, Suryanayana Vechalapu and Meriga Sudhakar for the great
technical assistance offered. This work has been undertaken as part of the CGIAR Research Program on Grain
Legumes and Dryland Cereals (GLDC). ICRISAT is a member of CGIAR Consortium.
N2  - The genetic architecture of seed protein content (SPC) and its relationships to agronomic traits
in pigeonpea is poorly understood. Accordingly, five F2 populations segregating for SPC and four
agronomic traits (seed weight (SW), seed yield (SY), growth habit (GH) and days to first flowering
(DFF)) were phenotyped and genotyped using genotyping-by-sequencing approach. Five high-density
population-specific genetic maps were constructed with an average inter-marker distance of 1.6 to
3.5 cM, and subsequently, integrated into a consensus map with average marker spacing of 1.6 cM.
Based on analysis of phenotyping data and genotyping data, 192 main effect QTLs (M-QTLs) with
phenotypic variation explained (PVE) of 0.7 to 91.3% were detected for the five traits across the five
populations. Major effect (PVE ? 10%) M-QTLs included 14 M-QTLs for SPC, 16 M-QTLs for SW, 17
M-QTLs for SY, 19 M-QTLs for GH and 24 M-QTLs for DFF. Also, 573 epistatic QTLs (E-QTLs) were
detected with PVE ranging from 6.3 to 99.4% across traits and populations. Colocalization of M-QTLs
and E-QTLs explained the genetic basis of the significant (P < 0.05) correlations of SPC with SW,
SY, DFF and GH. The nature of genetic architecture of SPC and its relationship with agronomic traits
suggest that genomics-assisted breeding targeting genome-wide variations would be effective for the
simultaneous improvement of SPC and other important traits.
KW  - Pigeonpea
KW  -  Genetics
KW  -  Genomics
KW  -  Nutrition
Y1  - 2020/01//
SP  - 1
ID  - icrisat11583
EP  - 17
VL  - 10
IS  - 1
ER  -