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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VEMANNA et al<br />
grain yield per plant. <strong>The</strong>se findings were in<br />
confirmation with the findings <strong>of</strong> Manickam and Das<br />
(1994), Ganesh et al. (1995), Verma et al. (1999) and<br />
Kachapur and Salimath (2009). However, positive and<br />
significant association <strong>of</strong> days to flowering and plant<br />
height observed in the present study contradicts with<br />
the report <strong>of</strong> Manickam and Das (1994) who observed<br />
negative significant correlation <strong>of</strong> days to flowering<br />
with plant height and plant height with stem girth.<br />
Thus, to improve the fresh stalk yield in<br />
sweet sorghum it is important to select the plants<br />
with relatively higher plant height, total biomass, stem<br />
girth, nodes per plant and days to maturity, as these<br />
traits had direct relation with fresh stalk yield as<br />
indicated by their positive and significant association.<br />
Hence, fresh stalk yield can be increased by following<br />
indirect selection using above associated traits in<br />
sweet sorghum.<br />
Association <strong>of</strong> sugar yield with its<br />
component characters Association between sugar<br />
yield was positive and highly significant with juice<br />
yield per plant, fresh stalk yield per plant, total<br />
biomass per plant, grain yield per plant, total soluble<br />
sugars, brix per cent, bioethanol yield per plant and<br />
juice extraction per cent. <strong>The</strong> results <strong>of</strong> the present<br />
investigation were in corroborative with Mallikarjun<br />
et al. (1998), Hapase and Repale (1999), Verma et<br />
al. (1999), Singh and Khan (2004), Kadian and Mehta<br />
(2006) and Unche et al. (2008b).<br />
Association among sugar yield attributing<br />
characters <strong>The</strong> association <strong>of</strong> total biomass with<br />
fresh stalk yield per plant, juice yield per plant, grain<br />
yield per plant, brix per cent, total soluble sugars<br />
and bioethanol yield per plant; fresh stalk yield per<br />
plant with juice yield per plant, grain yield per plant,<br />
brix per cent, total soluble sugars and bioethanol yield<br />
per plant; grain yield per plant with juice yield per<br />
plant; brix per cent with total soluble sugars,<br />
bioethanol yield per plant, juice extraction per cent<br />
and juice yield per plant; juice yield per plant with<br />
juice extraction per cent, total soluble sugars and<br />
bioethanol yield per plant; juice extraction per cent<br />
with total soluble sugars and bioethanol yield per<br />
plant; total soluble sugar with bioethanol yield per<br />
plant were positive and significant. <strong>The</strong> reports <strong>of</strong><br />
Ganesh et al. (1995), Singh and Khan (2004), Kadian<br />
and Mehta (2006), Kachapur and Salimath (2009),<br />
Unche et al. (2008b) and Sandeep et al. (2010) were<br />
in agreement with the above results.<br />
<strong>The</strong> results on association <strong>of</strong> sugar yield with<br />
its attributing traits indicated importance <strong>of</strong> juice yield,<br />
fresh stalk yield, total biomass, grain yield, total<br />
soluble sugars, brix per cent, bioethanol yield and<br />
juice extraction per cent in improving sugar yield as<br />
these traits had direct relation with sugar yield.<br />
Hence, improvement in these traits automatically<br />
improve sugar yield. Thus, the above correlated traits<br />
can be effectively utilized in formulating indirect<br />
selection schemes.<br />
Path analysis<br />
<strong>The</strong> correlation estimates are the sum total<br />
<strong>of</strong> direct effect and indirect effects <strong>of</strong> an independent<br />
character on a dependent character and it is quite<br />
obvious that the correlation (positive or negative) may<br />
be <strong>of</strong> small magnitude and non-significant in spite <strong>of</strong><br />
its direct effect and/or some <strong>of</strong> the indirect effects<br />
are operating in the opposite direction. <strong>The</strong>refore, path<br />
analysis is required to partition the correlation value<br />
<strong>of</strong> independent characters on dependent character<br />
into direct and indirect effects so as to get a correct<br />
picture <strong>of</strong> the association <strong>of</strong> characters. Hence, path<br />
co-efficient analysis was carried out to know the<br />
direct and indirect effects <strong>of</strong> the component<br />
characters on sugar yield and the results are<br />
presented in Table 4.<br />
<strong>The</strong> results <strong>of</strong> path analysis <strong>of</strong> component<br />
characters <strong>of</strong> sugar yield indicated maximum positive<br />
direct effect <strong>of</strong> total soluble sugars and juice yield<br />
on sugar yield whereas bioethanol yield, fresh stalk<br />
yield and total biomass has very high, moderate and<br />
low negative direct effect, respectively on sugar yield.<br />
However, all the traits exhibited moderate to high<br />
positive indirect effect via juice yield and total soluble<br />
sugars. <strong>The</strong> indirect effect via total biomass and fresh<br />
stalk yield is negative and low to moderate while juice<br />
extraction per cent is negligible and negative. <strong>The</strong>se<br />
results were in accordance with the earlier reposts <strong>of</strong><br />
Mallikarjun et al. (1998), Hapase and Repale (1999)<br />
and Kachapur and Salimath (2009). In general, the<br />
results revealed that the indirect contribution <strong>of</strong> the<br />
characters viz., total biomass, fresh stalk yield and<br />
juice extraction per cent via juice yield resulted in<br />
their positive correlation with sugar yield.<br />
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