The Journal of Research ANGRAU
Contents of 36(1) - acharya ng ranga agricultural university
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 />
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