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Title: | Character association and genetic divergence studies in cowpea [Vigna unguiculata (L.) Walp.] |
Other Titles: | Not Available |
Authors: | Lal, H., Bhardwaj, D.R., Nath, V. and Singh, R. |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Institute of Vegetable Research |
Published/ Complete Date: | 2014-09-01 |
Project Code: | Not Available |
Keywords: | Genetic variability, correlation coefficient, path analysis, multivariate clustering, cowpea |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Cowpea (Vigna unguiculata L. Walp.) is widely grown for pulse, vegetable, green manure and fodder in many parts of the world. In India, cowpea is grown in almost all the regions except high altitude in hilly areas. The V. unguiculata ssp. unguiculata and V. unguiculata ssp. biflora types are predominantly cultivated for pulse purpose. However, V. unguiculata ssp. sesquipedalis (yard long bean) is grown on a small scale for green vegetable purpose in scattered regions particularly in India and South East Asia (Pan et al., 1982). The progress in breeding for the yield and its contributing characters of any crop is polygenecally controlled, environmentally influenced and determined by the magnitude and nature of their genetic variability (Fisher, 1981). Genetic variability, character association and path coefficient are pre-requisite for improvement of any crop for the selection of superior genotypes and improvement of any traits. It is very difficult to judge whether observed variability is heritable or due to environment alone. Moreover, knowledge of heritability is essential for selection based improvement as it ondicates the extent of transmissibility of a character in future generations. Knowledge of correlation between yield and its contributing characters are basic and for most endeavor to find out guide lines for plant selection. Partitioning of total correlation in to direct and indirect effect by path coefficient analysis helps in making the selection more effective. D2 analysis helps the breeder in grouping of genotypes in different clusters and to identify genotypically diverse and desirable genotypes. The knowledge on nature and magnitude of gentic variability existed in cowpea will provide the foundation for designing breeding programme. Keeping this in view, the present investigation was undertaken to assess the genetic diversity of 40 cowpra genotypes. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Annals of Plant and Soil Research |
NAAS Rating: | 5.22 |
Volume No.: | 16(3) |
Page Number: | 186-191 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/12236 |
Appears in Collections: | HS-IIVR-Publication |
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