Veena Agrawal

Dr. Veena Agrawal


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 November 2015 in Journal of Applied Phycology
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Journal Article
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ASAishwarye Sharma
Aishwarye Sharma
SSShruti Sharma
Shruti Sharma
KSKuldeep Sharma
Kuldeep Sharma
SCSiva P. K. Chetri
Siva P. K. Chetri
AVAmit Vashishtha
Amit Vashishtha
VAVeena Agrawal
Veena Agrawal

16 April 2020 in Plant Cell Reports
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Journal Article
Closed access
PDF file
SRShubhra Rajput
Shubhra Rajput
DKDinesh Kumar
Dinesh Kumar
VAVeena Agrawal
Veena Agrawal


7 October 2007 in Parasitology Research
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Journal Article
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VPVibha Pandey
Vibha Pandey
VAVeena Agrawal
Veena Agrawal
KRK. Raghavendra
K. Raghavendra
ADA. P. Dash
A. P. Dash

1 September 2015 in Meta Gene
Verified
Journal Article
Open access
MHMonika Heikrujam
Monika Heikrujam
JKJatin Kumar
Jatin Kumar
VAVeena Agrawal
Veena Agrawal
To detect genetic variations among different Simmondsia chinensis genotypes, two gene targeted markers, start codon targeted (SCoT) polymorphism and CAAT box-derived polymorphism (CBDP) were employed in terms of their informativeness and efficiency in analyzing genetic relationships among different genotypes. A total of 15 SCoT and 17 CBDP primers detected genetic polymorphism among 39 Jojoba genotypes (22 females and 17 males). Comparatively, CBDP markers proved to be more effective than SCoT markers in terms of percentage polymorphism as the former detecting an average of 53.4% and the latter as 49.4%. The Polymorphic information content (PIC) value and marker index (MI) of CBPD were 0.43 and 1.10, respectively which were higher than those of SCoT where the respective values of PIC and MI were 0.38 and 1.09. While comparing male and female genotype populations, the former showed higher variation in respect of polymorphic percentage and PIC, MI and Rp values over female populations. Nei's diversity (h) and Shannon index (I) were calculated for each genotype and found that the genotype "MS F" (in both markers) was highly diverse and genotypes "Q104 F" (SCoT) and "82-18 F" (CBDP) were least diverse among the female genotype populations. Among male genotypes, "32 M" (CBDP) and "MS M" (SCoT) revealed highest h and I values while "58-5 M" (both markers) was the least diverse. Jaccard's similarity co-efficient of SCoT markers ranged from 0.733 to 0.922 in female genotypes and 0.941 to 0.746 in male genotype population. Likewise, CBDP data analysis also revealed similarity ranging from 0.751 to 0.958 within female genotypes and 0.754 to 0.976 within male genotype populations thereby, indicating genetically diverse Jojoba population. Employing the NTSYS (Numerical taxonomy and multivariate analysis system) Version 2.1 software, both the markers generated dendrograms which revealed that all the Jojoba genotypes were clustered into two major groups, one group consisting of all female genotypes and another group comprising of all male genotypes. During the present investigation, CBDP markers proved more informative in studying genetic diversity among Jojoba. Such genetically diverse genotypes would thus be of great significance for breeding, management and conservation of elite (high yielding) Jojoba germplasm.

1 November 2019 in Materials Science and Engineering: C
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Journal Article
Closed access
RYRenuka Yadav
Renuka Yadav
HSHimanshu Saini
Himanshu Saini
DKDinesh Kumar
Dinesh Kumar
SPShweta Pasi
Shweta Pasi
VAVeena Agrawal
Veena Agrawal