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The Journal of Research ANGRAU

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

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