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Molecular mapping of QTLs for plant type and earliness traits in pigeonpea (Cajanus cajanL. Millsp.)

Overview of attention for article published in BMC Genomic Data, October 2012
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Title
Molecular mapping of QTLs for plant type and earliness traits in pigeonpea (Cajanus cajanL. Millsp.)
Published in
BMC Genomic Data, October 2012
DOI 10.1186/1471-2156-13-84
Pubmed ID
Authors

Giriraj Kumawat, Ranjeet S Raje, Shefali Bhutani, Jitendra K Pal, Amitha SVCR Mithra, Kishor Gaikwad, Tilak R Sharma, Nagendra K Singh

Abstract

Pigeonpea is an important grain legume of the semi-arid tropics and sub-tropical regions where it plays a crucial role in the food and nutritional security of the people. The average productivity of pigeonpea has remained very low and stagnant for over five decades due to lack of genomic information and intensive breeding efforts. Previous SSR-based linkage maps of pigeonpea used inter-specific crosses due to low inter-varietal polymorphism. Here our aim was to construct a high density intra-specific linkage map using genic-SNP markers for mapping of major quantitative trait loci (QTLs) for key agronomic traits, including plant height, number of primary and secondary branches, number of pods, days to flowering and days to maturity in pigeonpea.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ghana 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Researcher 14 25%
Student > Master 8 14%
Student > Postgraduate 5 9%
Student > Doctoral Student 2 4%
Other 2 4%
Unknown 8 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 75%
Biochemistry, Genetics and Molecular Biology 2 4%
Unspecified 1 2%
Business, Management and Accounting 1 2%
Engineering 1 2%
Other 0 0%
Unknown 9 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 October 2012.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#172,235
of 192,244 outputs
Outputs of similar age from BMC Genomic Data
#15
of 17 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.