↓ Skip to main content

Association analysis of photoperiodic flowering time genes in west and central African sorghum [Sorghum bicolor (L.) Moench]

Overview of attention for article published in BMC Plant Biology, March 2012
Altmetric Badge

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
91 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Association analysis of photoperiodic flowering time genes in west and central African sorghum [Sorghum bicolor (L.) Moench]
Published in
BMC Plant Biology, March 2012
DOI 10.1186/1471-2229-12-32
Pubmed ID
Authors

Sankalp U Bhosale, Benjamin Stich, H Frederick W Rattunde, Eva Weltzien, Bettina IG Haussmann, C Thomas Hash, Punna Ramu, Hugo E Cuevas, Andrew H Paterson, Albrecht E Melchinger, Heiko K Parzies

Abstract

Photoperiod-sensitive flowering is a key adaptive trait for sorghum (Sorghum bicolor) in West and Central Africa. In this study we performed an association analysis to investigate the effect of polymorphisms within the genes putatively related to variation in flowering time on photoperiod-sensitive flowering in sorghum. For this purpose a genetically characterized panel of 219 sorghum accessions from West and Central Africa was evaluated for their photoperiod response index (PRI) based on two sowing dates under field conditions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 2 2%
France 1 1%
Indonesia 1 1%
Argentina 1 1%
India 1 1%
Unknown 82 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 32%
Student > Ph. D. Student 21 23%
Student > Doctoral Student 7 8%
Student > Bachelor 6 7%
Student > Master 6 7%
Other 13 14%
Unknown 9 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 84%
Biochemistry, Genetics and Molecular Biology 5 5%
Unknown 10 11%