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Journal of Agricultural and Biological Science
January 2008 | Vol. 3 No. 1 |
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Title: |
Productive
performance of buffaloes in Peshawar under farm conditions |
Author (s): |
Hamid Ullah
Khan, Abdur Raziq, Mohammad Ilyas Khan, Mehtabuddin and Sher
Bahadar Khan |
Abstract: |
A study was
carried out to know the productive performance of buffaloes
maintained at Livestock Farm of NWFP Agricultural
University, Peshawar, Pakistan. The data of buffalo herd was
analyzed on the basis of daily, morning, evening and monthly
milk yield as well as in different seasons of the year. The
average highest and lowest milk production was found from
6-9 litres and 4-5 litres daily per buffalo. Morning yield
was found slightly higher than evening during some months.
The season on individual yearly basis did not show uniform
pattern of highest yield trend but the comparative analysis
on cumulative basis (including all seasons of all years)
showed highest trend in summer (77.25 litres), followed by
autumn (71.07 litres), spring (68.9 litres) and winter
(63.72 litres). It was concluded from the present study that
the milk production of buffaloes can be maintained at their
maximum potential provided some good management practices
are established at the farm e.g. deworming in regular
intervals, feeding balanced ration and concentrates, ample
quantity of drinking water and special care for seasonal
requirement of the species both in terms of feeding and
management. |
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Title: |
Effect of
washing and media on the germination of Papaya seeds |
Author (s): |
Okeyo Angeline
and G. Ouma |
Abstract: |
Studies
were carried out at Maseno University, Kenya to investigate
the effect of media and seed washing on the germination and
subsequent growth of Papaya (C. Papaya) seedlings. Seed
extraction was carried out from the fruit then flotation
test was carried out to determine viability of the seeds
followed by application of the treatments which were washing
half the seed lot to remove the gelatinous material and
leaving the other lot unwashed. Two types of media were used
namely sand and topsoil and were placed separately in pots
and planting the seeds commenced with the washing and
non-washing of the seeds on 17th February 2007. The pots
were then placed at the shade house, which allowed 70%
light. The treatments were, T1 (unwashed seeds planted in
sand), T2 (washed seeds planted in Sand) T3 (unwashed seeds
planted in topsoil) T4 (washed seeds planted in topsoil. The
experimental design was completely randomized (CRD)
replicated four times. Data taken were number of germinated
seeds after four weeks from the first emergence, root
length, leaf number, leaf area, stem diameter and plant
height. Data was subjected to analysis of variance (ANOVA)
and mean separation using L.S.D at 5% significance level.
The results showed that washing affected or increased
germination in sand only but it also increased the growth of
the seedlings in topsoil. It is concluded that Papaya seeds
should be washed and soaked before sowing to enhance
germination. |
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Title: |
Pathogenicity
association in xanthomonas oryzae pv. oryzae- the causal
organism of rice bacterial blight disease |
Author (s): |
D. Nayak, M.
L. Shanti, L. K. Bose, U. D. Singh and P. Nayak |
Abstract: |
Pathogenicity of the isolates of Xanthomonas oryzae pv.
oryzae (Xoo), the incitant of rice bacterial blight disease,
collected from different rice growing states of India, were
analyzed by calculating (i) virulence frequency (VF) on each
host genotype, (ii) pathogenicity association coefficient
(PAC) and (iii) virulence association coefficient (VAC) of
all possible combinations of two host genotypes, in
different sets of rice genotypes involving differential
varieties, near isogenic lines (NIL) and gene pyramids each
possessing known genes for resistance. Based on the
host-pathogen interactions, 4-11 virulence factors could be
recognized in the 52 bacterial isolates viz. v-1, 2, 3, 4,
5, 6, 7, 10, 11, 12 and 13 which were effective against 11
Xa genes conferring resistance to Xoo. A total number of 0-7
avirulence gene factors could also be recognized in the
bacterial isolates. The combination of host genes for
resistance, which can be effectively deployed in disease
control strategy, was characterized by high PAC: low VAC
with widest difference between the two and least difference
between one and PAC (1-PAC) accompanied by low virulence
frequency. The gene combinations responsible for rapid
disease spread, which warrant immediate withdrawal from a
specific locality, could be characterized by high PAC: high
VAC and zero to low difference between PAC and VAC as well
as 1-PAC accompanied by high VF for both the genotypes. Such
analysis of extensive pathogenicity survey data on large
number of isolates representing any particular region would
help in taking decision on deployment of desired gene
combinations for effective disease control, withdrawal of
varieties possessing undesirable gene combinations, breeding
varieties possessing resistance genes for specific region
and development of NILs. |
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Title: |
Disease
progress curves in the rice blast pathosystem compared with
the logistic and Gompertz models |
Author (s): |
N. K.
Mohapatra, A. K. Mukherjee, A. V. Suriya Rao and P. Nayak |
Abstract: |
Comparison
of the linear coefficients from the regression analysis of
307 blast (Pyricularia grisea) disease progress curves of 42
rice genotypes, tested over a period of nine seasons, were
made by fitting into the logistic and Gompertz models. The
regression parameters Y- intercept (a), regression
coefficient (b), its standard error (SEb), coefficient of
determination (R2) and the time required for the disease to
reach specific level of severity (T50) were estimated. The
estimates of the linear coefficients following Gompertz
model, revealed lower values of b, SEb and negative 'a';
higher values of T50 as well as R2 compared with those by
logistic model. In general, the logistic apparent infection
rates were higher than the Gompertz rates, the differences
being wider for the slow-blasting genotypes compared with
the fast-blasting genotypes. The lower Gompertz infection
rates accompanied with low negative ‘a' values, resulted in
higher T50 values, compared with the respective lower
estimates through logistic model. Both b and T50 values
estimated by Gompertz model were more consistent among the
slow-blasting genotypes over seasons. Out of the 307 disease
progress curves, 91.2 % fitted well in to the logistic model
and 90.8% in to the Gompertz model, thus suggesting that
both the models fit well in to the rice blast pathosystem.
The estimates of T50 were proportional to the corresponding
apparent infection rates in both the models. The benefit
from sanitation in terms of the epidemic to reach 0.5 level,
was estimated to be 21 and 47 days following logistic and
Gompertz models, respectively. |
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Title: |
Phenotypic
correlation analysis of elite F3:4 Brassica
populations for quantitative and qualitative traits |
Author (s): |
Sajid Khan,
Farhatullah and Iftikhar H. Khalil |
Abstract: |
Six F3:4
derived inter-specific Brassica populations along with three
checks were evaluated for phenotypic correlations for
qualitative and quantitative characters at NWFP Agricultural
University, Peshawar during 2005-06. A randomized complete
block design with four replications was used. Higher
significant values of association were observed for day to
flowering with pods raceme-1 (0.90) and
significant association with glocusinolate (-0.67), primary
braches plant-1 show high significant correlation
with pod length (-0.93), seed pod-1(-0.88) and
yield ha-1(-0.78) and significant correlation
with linolenic acid (0.68). Pod length highly significantly
related with seed pod-1(0.93), yield ha-1(0.83)
and linolenic acid (-0.83). The association of seed pod-1
was observe high significant with yield ha-1
(0.88) and linolenic acid (-0.89). Generally, low
correlation was observed among different traits; however
some of the related characters like days to flowering, pods
raceme-1, pos length, plant height, seed pod-1,
yield hac-1, oleic acid, and moisture were highly
significantly and positively correlated with each other as
compares to the remaining traits which are negatively and
non-significantly correlated with each other. So selections
for such traits are useful for yield and quality
improvement. |
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