The Journal of Research ANGRAU
Contents of 41(1) 2013 - acharya ng ranga agricultural university
Contents of 41(1) 2013 - acharya ng ranga agricultural university
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CORRELATION AND PATH ANALYSIS FOR YIELD AND ITS COMPONENTS<br />
Path coefficient analysis was used to<br />
compute direct and indirect effects <strong>of</strong> six characters<br />
on grain yield. <strong>The</strong> characters number <strong>of</strong> productive<br />
tillers per plant, panicle length and number <strong>of</strong> grains<br />
per panicle with positive direct effects on yield could<br />
be considered as major yield contributing characters<br />
in rice. <strong>The</strong>se findings were in agreement with the<br />
reports made by Karad and Pol (2008) for number <strong>of</strong><br />
productive tillers per plant and panicle length and<br />
Satish Chandra et al. (2009) for number <strong>of</strong> grains per<br />
panicle.<br />
On the contrary negative direct effects were<br />
existed by days to 50 per cent flowering, plant height<br />
and 1000 grain weight. Gupta et al. (1998) also<br />
recorded similar kind <strong>of</strong> negative direct effect <strong>of</strong> these<br />
traits on yield.<br />
<strong>The</strong> characters, panicle length, number <strong>of</strong><br />
grains per panicle showed positive indirect effect<br />
through number <strong>of</strong> productive tillers per plant on grain<br />
yield. Similar results were obtained by Gupta et al.<br />
(1998). <strong>The</strong> panicle length exhibited positive indirect<br />
effect through number <strong>of</strong> productive tillers per plant<br />
and number <strong>of</strong> grains per panicle. Number <strong>of</strong><br />
productive tillers per plant, 1000 grain weight and<br />
panicle length showed positive indirect effect on grain<br />
yield through number <strong>of</strong> grains per panicle. <strong>The</strong>se<br />
results were in accordance with the results obtained<br />
by Madhavilatha (2002).<br />
<strong>The</strong> characters days to 50 per cent flowering,<br />
plant height and 1000 grain weight were not only<br />
having negative direct effect on grain yield but also<br />
had negative association with the yield contributing<br />
characters. This was in consonance with the results<br />
<strong>of</strong> Gupta et al. (1998).<br />
Path analysis revealed the importance <strong>of</strong> the<br />
characters, number <strong>of</strong> productive tillers per plant,<br />
panicle length and number <strong>of</strong> grains per panicle in<br />
influencing the grain yield. Hence, selection should<br />
be practiced for these characters in order to isolate<br />
superior plant types for improvement <strong>of</strong> grain yield.<br />
Table 1.Estimation <strong>of</strong> correlation coefficients between yield and yield attributing characters<br />
Character<br />
Days to<br />
50 %<br />
flowering<br />
Plant<br />
Height<br />
(cm)<br />
Number <strong>of</strong><br />
productive<br />
tillers per<br />
plant<br />
Panicle<br />
Length<br />
(cm)<br />
Number <strong>of</strong><br />
grains per<br />
panicle<br />
1000 Grain<br />
Weight (g)<br />
Grain<br />
Yield/<br />
Plant (g)<br />
Days to 50% P 1.0000 0.0622 0.0434 0.0992 0.2648** -0.2933** -0.0001<br />
Flowering G 1.0000 0.0727 0.0109 0.0987 0.2590** -0.3024** -0.0181<br />
Plant Height P 1.0000 0.3113** 0.2865** 0.1525 0.1620* 0.3197**<br />
(cm) G 1.0000 0.5046** 0.2958 ** 0.1606* 0.1845* 0.3964**<br />
Number <strong>of</strong> P 1.0000 0.1010 0.2048** -0.0175 0.8501**<br />
productive<br />
tillers/plant<br />
G 1.0000 0.1508 0.2512** 0.0233 1.0014**<br />
Panicle P 1.0000 0.2383** 0.3725** 0.1047<br />
Length (cm) G 1.0000 0.2546** 0.4021** 0.1599*<br />
Number <strong>of</strong> P 1.0000 -0.3270** 0.2483**<br />
grains/panicle G 1.0000 -0.3425** 0.2711**<br />
1000 Grain<br />
Weight<br />
(g)plant<br />
P 1.0000 -0.0329<br />
G 1.0000 -0.0157<br />
* Significant at 5% level ** Significant at 1% level