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Detection and validation of stay-green QTL in post-rainy sorghum involving widely adapted cultivar, M35-1 and a popular stay-green genotype B35

Overview of attention for article published in BMC Genomics, October 2014
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Title
Detection and validation of stay-green QTL in post-rainy sorghum involving widely adapted cultivar, M35-1 and a popular stay-green genotype B35
Published in
BMC Genomics, October 2014
DOI 10.1186/1471-2164-15-909
Pubmed ID
Authors

Nagaraja Reddy Rama Reddy, Madhusudhana Ragimasalawada, Murali Mohan Sabbavarapu, Seetharama Nadoor, Jagannatha Vishnu Patil

Abstract

Sorghum [Sorghum bicolor (L.) Moench] is an important dry-land cereal of the world providing food, fodder, feed and fuel. Stay-green (delayed-leaf senescence) is a key attribute in sorghum determining its adaptation to terminal drought stress. The objective of this study was to validate sorghum stay-green quantitative trait loci (QTL) identified in the past, and to identify new QTL in the genetic background of a post-rainy adapted genotype M35-1.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Unknown 104 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 18%
Student > Ph. D. Student 17 16%
Student > Master 17 16%
Student > Doctoral Student 7 7%
Student > Bachelor 4 4%
Other 9 9%
Unknown 32 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 56%
Biochemistry, Genetics and Molecular Biology 7 7%
Veterinary Science and Veterinary Medicine 1 <1%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Earth and Planetary Sciences 1 <1%
Other 2 2%
Unknown 34 32%
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 01 November 2014.
All research outputs
#20,242,136
of 22,769,322 outputs
Outputs from BMC Genomics
#9,265
of 10,639 outputs
Outputs of similar age
#215,757
of 258,575 outputs
Outputs of similar age from BMC Genomics
#187
of 205 outputs
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