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| Articles
by
A. Ghafoor |
Total Records (
3 ) for
A. Ghafoor |
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I.A. Arshad
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F. Muhammad
and
A. Ghafoor
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Different mash plant traits contributes to the mash grain yield but the major contributors are plant height (X1), days to flowering (X2), days to first pod maturity (X3), days to 90% maturity (X4), branches per plant (X5), pods per plant (X6), pod length (X7), seeds per pod (X8), 100-seed weight (X9), biological yield per plant (X10) and mash grain yield (Y). This study was initiated to find the important regressors on which the yield of mash depends. In this regard principal component analysis and path analysis were used to find correlation structure between mash plant traits and regressors effect on mash grain yield, respectively. Principal component analysis reduced the dimensionality in the system of eleven mash plant traits to four principal components, which contributes about 88% of the total variability present in the mash plant data. On the basis of correlation between principal components and original mash plant traits, a classification structure was made to observe the relation between different traits. It was observed that for the first principal component, plant height (X1), days to flowering days to first pod maturity (X3), days to 90% maturity (X4) and 100 seeds weight (X9) have positive correlation between themselves i.e. varies in the same direction. Path analysis was also described to explain correlation structure, direct-indirect effects between different mash plant traits. This analysis suggested that pod per plant has maximum positive direct effect on mash grain yield i.e. more pod per plant, greater will be the yield. But days to 90% maturity has maximum negative direct effect on mash grain yield i.e. more maturity lesser will be the grain yield. Similarly branches per plant and biological yield per plant have positive indirect effect on mash grain yield via pods per plant. It was observed that the direct and indirect effects of remaining predictors are negligible. |
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S.M. Iqbal
,
A. Bakhsh
,
A. Ghafoor
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N. Ayub
and
M. Bashir
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Two isolates of Ascochyta rabiei (Pass) Lab. derived from single spore cultures representing the most and least aggressive nature were studied separately and in combination for pathogenic aggressiveness on sixteen chickpea varieties. A great deal of variation was observed in the pathogenic reaction of isolates for inducing disease development. The cultural traits, radial growth and pycnidial size, were also significantly different for the two isolates. Similarly, a significant difference between chickpea genotypes was observed for their response to isolates regarding disease development. Five varieties, C-727, C-44, Noor-91, Punjab-91 and ILC-263 revealed high degree of susceptibility and are suggested to be used as susceptible checks for screening experiments. Two other genotypes, Dasht and Balkasar showed high degree of tolerance to both the isolates when applied separately or as 1:1 mixture. The aggressiveness of mixture of two isolates was reduced to the level of least aggressive isolate instead of having synergic effect for blight development. |
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S.M. Iqbal
,
A. Ghafoor
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M. Arshad
and
M. Bashir
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In order to identify sources of genetic resistance against charcoal rot disease in urdbean
caused by Macrophomina phaseolina (Tassi) Goid, 71 germplasm accessions were
evaluated by paper towel technique under Laboratory conditions. It was observed that 6
genotypes (45718, 45719, 45721, 45731, VH9440034-1 and VH9440034-7) were highly
resistant, whereas 7 were resistant and 10 were moderately resistant. Sixteen genotypes
were tolerant whereas rest of the accessions was susceptible or highly susceptible. The
paper towel technique proved to be were and efficient for identification of resistance in
urdbean for charcoal rot disease. Resistance observed in this experiment will also be
confirmed under field conditions in future. |
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