P
Praveen Singh
Researcher at International Centre for Integrated Mountain Development
Publications - 32
Citations - 238
Praveen Singh is an academic researcher from International Centre for Integrated Mountain Development. The author has contributed to research in topics: Biology & Genetic diversity. The author has an hindex of 7, co-authored 28 publications receiving 180 citations. Previous affiliations of Praveen Singh include Banaras Hindu University.
Papers
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Journal ArticleDOI
Relative availability of inorganic N-pools shifts under land use change: An unexplored variable in soil carbon dynamics
Pratap Srivastava,Praveen Singh,Rishikesh Singh,Rahul Bhadouria,Dharmendra Singh,Shivam Singh,Talat Afreen,Sacchidanand Tripathi,Pardeep Singh,Hema Singh,Akhilesh Singh Raghubanshi +10 more
TL;DR: In this paper, experimental data were collected for soil organic carbon (SOC) along with soil physico-chemical, microbial and aggregate characteristics across adjacent secondary forest (SF)-grassland (GL)-cropland (CL) sequence in dry tropical ecosystems.
Journal Article
Combining ability studies for yield and yield components in Basmati rice
TL;DR: Investigation of F1’s produced from diallel cross excluding reciprocals revealed importance of both additive and non-additive gene effects in governing yield and yield components with preponderance of non Additive gene action for most of the yield components.
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Black carbon concentration in the central Himalayas: Impact on glacier melt and potential source contribution.
Chaman Gul,Parth Sarathi Mahapatra,Shichang Kang,Praveen Singh,Xiaokang Wu,Cenlin He,Rajesh Kumar,Mukesh Rai,Yangyang Xu,Siva Praveen Puppala +9 more
TL;DR: In this paper, the authors used a chemical transport model at a high-altitude (28°12′49.21″N, 85°36′33.77″E, 4900 masl) site located near the Yala Glacier in the central Himalayas, Nepal.
Journal Article
Genetic distance, heterosis and combing ability studies in maize for predicting F1 hybrid performance.
TL;DR: It is revealed that higher SCA genetic diversity is important, whereas heterosis and SCA are effective for predicting the best F1 combinations in maize.
Journal ArticleDOI
Molecular recognition phenomenon in aromatic compounds
TL;DR: In this paper, various factors are studied in detail for the existence of aromatic interactions, including dispersion interaction, which is the dominant force in the presence of electrostatic functional groups.