Abstract:
A field experiment was conducted in the Rahi season (November-February) of
2005-2006 to study the response of rapeseed line SAU-C-1-
7
in respect of yield, yield
attributes and oil yield to difibrent nitrogen levels and number of weeding. The
treatment comprised of 4 levels of nitrogen and 3 levels of weeding. Different N
levels
were
0 kg N ha (N
0
). 90 kg N hi' (N
1
). 120 kg N hi' (
'2)
(N3
). The weeding treatments were no weeding (W
and 150 kg N ha"
0
). one weeding at 20 DAS (Wi)
and two weedings at 20 and 45 DAS (W2). The experiment was laid out in a Ihetorial
Randomized Complete Block Design (RCBD) with three replications. Nitrogen levels
and number of weeding significantly influenced the growth, yield and yield attributes
of rapeseed. Plants tn* plant height, branches plant''. siliquac planf', length of
siliqua. seeds siliqui'. 1000-seed weight. seed yield. stover yield, biological yield,
harvest index, oil content and oil yield were significantly influenced by nitrogen
levels and weeding as individual litctor. Oil content was only influenced by nitrogen
application. The results revealed that nitrogen at the rate of 120 kg ha" showed the
best performance regarding to yield components and yields. 'l'he maximum seed yield
ha4
(2343.4 kg ha
4
) with 120 kg N ha" was 194.28
0
%. 71.11% and 6.87% higher than
the yield obtained from 0 kg, 90 kg and ISO kg N ha''. respectively. In case of
weeding factor, it was observed that two hand weeding resulted in maximum
production of yield and yield attributes as well as seed and oil yields. Two hand
weeding increased the seed yield by 17.66% over control. The interaction effect of
nitrogen levels and number of weeding revealed that 120 kg N along with two hand
weeding showed the best performance in producing the yield attributes and yields.
Number of branches plant". number of siliqua plant'', number of seeds plant'', 1000seed
weight had a significant correlation with seed yield p}j'
I
with the r values of
0.91. 0.97. 0.88 and 0.96. respectively. All of the yield attributes were highly
significant. The relationship between the yield attributes and yield was highly
sign i lican t.
