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The Journal of Research ANGRAU

Contents of 36(1) - acharya ng ranga agricultural university

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J.Res. <strong>ANGRAU</strong> 36(1) 16 - 20, 2008<br />

CHARACTER ASSOCIATION AND PATH ANALYSIS IN TWENTY<br />

ONE F 3<br />

PROGENIES OF MUNGBEAN (Vigna Radiata (L.) Wilczek)<br />

M. SHANTI PRIYA and K.H.P.REDDY<br />

Department <strong>of</strong> Genetics and Plant Breeding<br />

Sri Venkateswara Veterinary Agricultural College,<br />

Tirupati 517502, A.P.<br />

ABSTRACT<br />

<strong>The</strong> investigation was undertaken with an objective to study character association and path analysis<br />

in 21 F 3<br />

progenies <strong>of</strong> greengram during rabi 1996 at S.V. Agricultural College Farm, Tirupati. Character<br />

associations revealed the strong positive correlation <strong>of</strong> seed yield with pods per plant, clusters per plant, pods<br />

per cluster and plant height and among themselves. However, path coefficient analysis showed that the<br />

characters pods per plant, pods per cluster and seeds per pod had high positive direct effects on grain yield<br />

in F 3<br />

progenies. Moreover, the indirect effects <strong>of</strong> most <strong>of</strong> the characters through pods per plant, pods per<br />

cluster and seeds per pod were high and positive.<br />

Yield is a complex character and it is influenced by several genetic factors interacting<br />

with environment. A clear understanding <strong>of</strong> the association <strong>of</strong> plant characters with yield is<br />

necessary for successful crop improvement programme. Correlation coefficients reveal the<br />

magnitude and the direction <strong>of</strong> association <strong>of</strong> yield components among themselves and with<br />

yield. Path coefficient analysis helps in partitioning <strong>of</strong> the correlation coefficient into direct<br />

and indirect effects <strong>of</strong> yield components on yield. Moreover, correlation in conjunction with<br />

path analysis gives a clear idea <strong>of</strong> nature <strong>of</strong> association and their relative contribution to<br />

yield. This information is <strong>of</strong> prime importance in formulating selection criteria.<br />

MATERIALS AND METHODS<br />

<strong>The</strong> experimental material consisted <strong>of</strong> 21 F 3<br />

progenies <strong>of</strong> mung bean derived from<br />

diallel analysis without reciprocals. <strong>The</strong> experiment was laid out in a randomised block design<br />

with three replications at S.V. Agricultural College Farm, Tirupati in rabi, 1996. Each plot<br />

consisted <strong>of</strong> 3 rows <strong>of</strong> 5m length. A uniform spacing <strong>of</strong> 30 cm between the rows and 15 cm<br />

within the row was adopted. Thirty plants were tagged randomly in each replication for each<br />

entry for recording the observations on 11 characters. <strong>The</strong> plant means obtained for each<br />

character were used for statistical analysis. Phenotypic and genotypic correlation coefficients<br />

were calculated using the method given by Johnson et al. (1955). Path analysis was carried<br />

out as suggested by Wright (1934) and as illustrated by Dewey and Lu (1959).<br />

20

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