KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/19559
Title: | Molecular assessment of genetic diversity in Acacia senegal |
Other Titles: | Not Available |
Authors: | S K JINDAL AMIT TAK S K SINGH ANJLY PANCHOLY RAKESH PATHAK APARNA RATURI |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Central Arid Zone Research Institute |
Published/ Complete Date: | 1001-01-01 |
Project Code: | Not Available |
Keywords: | Acacia senegal, African tree species, Diversity, Geographical populations, Polymorphism, RAP |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Acacia senegal is well adapted to arid environment of western Rajasthan and has a potential to restore soil fertility and sand dune stabilization. There is a scope of improvement by exploiting geographical genetic diversity. It is a drought- tolerant multipurpose leguminous African tree species and also an important forest resource for gum Arabic, fuel, food and fodder. Thirteen selected plants showing significantly high and low seed yields from Rajasthan and exotic locations, viz Niger, Mali, Senegal and Sudan, transplanted in 1988 at Central Arid Zone Research Institute (CAZRI), Jodhpur, were subjected to randomly amplified polymorphic DNA (RAPD) analysis. Six random primers generated a total of 86 scorable loci and exhibited 77.77 to 94.73% polymorphism. Unweighed pair group method using arithmetic averages (UPGMA) dendrogram obtained from cluster analysis using Jaccard’s similarity coefficient delineated all the 13 population samples representing seven geographical populations. The results clearly revealed existence of genetic diversity within and among geographical populations of A. senegal. The Indian population exhibited the maximum genetic diversity from rest of the African populations. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Indian Journal of Agricultural Sciences |
NAAS Rating: | 6.21 |
Volume No.: | 81 (8) |
Page Number: | 695–699 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/19559 |
Appears in Collections: | NRM-CAZRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Acacia paper.pdf | 169.72 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.