Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-15T03:23:23.711Z Has data issue: false hasContentIssue false

Genetic and geographical divergence in horse gram germplasm from Andhra Pradesh, India

Published online by Cambridge University Press:  01 April 2009

N. Sunil*
Affiliation:
National Bureau of Plant Genetic Resources, Regional Station, Rajendranagar, Hyderabad 500030, India
N. Sivaraj
Affiliation:
National Bureau of Plant Genetic Resources, Regional Station, Rajendranagar, Hyderabad 500030, India
S. R. Pandravada
Affiliation:
National Bureau of Plant Genetic Resources, Regional Station, Rajendranagar, Hyderabad 500030, India
V. Kamala
Affiliation:
National Bureau of Plant Genetic Resources, Regional Station, Rajendranagar, Hyderabad 500030, India
P. Raghuram Reddy
Affiliation:
Central Research Institute for Dryland Agriculture, Santhoshnagar, Hyderabad 500059, India
K. S. Varaprasad
Affiliation:
National Bureau of Plant Genetic Resources, Regional Station, Rajendranagar, Hyderabad 500030, India
*
*Corresponding author. E-mail: [email protected]

Abstract

Nine characters contributing to seed yield were measured on 20 accessions of horse gram (Macrotyloma uniflorum (Lam.) Verd), and subjected to genetic divergence analysis using Mahalanobis statistic and mapping using DIVA-GIS. The accessions were collected from two eco-geographical regions of Andhra Pradesh (India) – North Coastal and Rayalaseema. Based on D2 values the genotypes were grouped into five clusters. Genetic diversity was not related to eco-geographical distribution. The greatest inter-cluster distance separated clusters II and V, followed by clusters IV, and V, III and IV. Entries in clusters V and II appear suitable as parents for horse gram improvement. The Rayalaseema region is the source of useful variation for days to flowering, maturity and yield.

Type
Short Communication
Copyright
Copyright © NIAB 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anonymous, (1992) Hand book of Agriculture. New Delhi: Indian Council of Agricultural Research, p. 1303.Google Scholar
Arunachalam, V and Ram, J (1967) Geographical diversity in relation to genetic diversity in cultivated sorghum. Indian Journal of Genetics 27: 369380.Google Scholar
Brown, AHD and Marshall, DR (1995) A basic sampling strategy: theory and practice. In: Guarino, L, Ramanatha Rao, V and Reid, R (eds) Collecting Plant Genetic Diversity. Technical Guidelines. Wallingford: CAB International, pp. 7591.Google Scholar
Dhobal, VK and Rana, JC (1994) Multivariate analysis in horsegram. Legume Research 17(3): 157161.Google Scholar
Duke, JA (1981) Handbook of Legumes of World Economic Importance. New York/London: Plenum Press, p. 345.Google Scholar
Mahalanobis, PC (1936) On the generalized in the statistic. Proceedings of National Institute of Sciences (India) 2: 4955.Google Scholar
Rao, CR (1952) Advanced Statistical Methods in Biometrical Research. New York: John Wiley & Sons.Google Scholar