Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Articles by A. GHAFOOR
Total Records ( 4 ) for A. GHAFOOR
  A. Ghafoor , I.A. Arshad and F. Muhammad
  Stability of fifteen selected sunflower genotypes across eight environments (locations) in Pakistan with respect to oil yield was tested. On the basis of six different stability measures, genotypes such as SF-187, SMH-269, SC-110 and PSH-21 were found as stable genotypes with respect to oil yield (kg ha-1). Further to group the genotypes having similar response pattern over all environments and to group similar environments over all sunflower genotypes, Ward`s fusion strategy of hierarchical clustering technique was used on sunflower genotypes x environments (G x E) data. It was observed that genotypes SMH-32 and SMH-112 are different from remaining genotypes over all environments, but in the largest group-7 genotypes, Hysun-33, SF-270 and SMH-269 have similar response pattern (w.r.t. oil yield) over all environments. Similarly, it was observed that among eight environments, NARC and Sariab were similar, Kot. Diji and Dunya Pur were similar, Tando Jam and Faisalabad were similar and D.I.K. and Tarnab were found similar with respect to oil yield in sunflower over all genotypes. Performance plots used to illustrate each genotype group`s performance (w.r.t. oil yield) in a series of environment groups. The results showed that genotypes group-1 (Hysun-341 and NK-265) and genotypes group-2 (SF-187 and NK-277) consistently performed well over Kot Diji, Dunya Pur, Tando Jam and Faisalabad environments. Genotype SMH-32 was found to be better in performance at NARC and Sariab.
  A. Ghafoor , F. Muhammad and I.A. Arshad
  To increase the precision of estimated effect of a yield character "pod length" on mashbean grains yield, Bayesian regression technique with sample and prior non-sample information about pod length was applied on simple linear relation between mash grain yield and pod length. With the use of prior inequality information about regression coefficient on pod length, a reduction was observed in the estimated value of regression coefficient and its standard error. It was observed that prior inequality information about regression parameter is helpful to increase the precision of the regression estimates. Simulation procedure was developed to generate random residuals from Exponential (1) and Uniform (0, 1) distributions, to test the results. The results were compared with those based on original data set.
  A. Ghafoor , M.A. Zahid , Z. Ahmad , M. Afzal and M. Zubair
  Three hundred and ten mungbean lines were evaluated in the field for 9 quantitative traits at NARC, Islamabad, Pakistan (33.40 o N and 73.07o E). These showed high variance for yield contributing characters except pod length, seeds/pod and seed weight. Germplasm under investigation displayed a wide range of diversity for most of the traits. Pure-lines with unique characters which could help to identify, select and hybridize land races to induce evolution for important traits were identified and for that matter 44 pure-lines were selected and recommended for testing under wide range of agro-ecological condition in pursuit of best mungbean cultivars. Data on harvest index revealed that the genotypes from 25 to 40% harvest index exhibited better performance and thus this range is suggested as one of the criteria for future improvement in mungbean.
  Raw sewage is widely used on agricultural soils in urban areas of developing countries to meet water shortages. Although it is a good source of plant nutrients, such sewage also increases the heavy metal load to soils, which may impact the food chain. Management options for sewage contaminated soils includes addition of nontoxic compounds such as lime, calcium sulfate and organic matter, which form insoluble metal complexes, thus reducing metal phytoavailability to plants. In this paper we review the variation in irrigation quality of sewage at different sites and its impact on the quality of soils and vegetables. Although quality of sewage was highly variable at source, yet the effluent from food industries was relatively safe for irrigation. In comparison effluent samples collected from textile, dyeing, calendaring, steel industry, hospitals and clinical laboratories, foundries and tanneries were hazardous with respect to soluble salts, sodium adsorption ratio and heavy metals like zinc, copper, iron, manganese, nickel, cobalt and cadmium. The sewage quality in main drains was better than that at the industry outlet, but was still not safe for irrigation. In general, higher accumulation of metals in fruits and vegetable roots was recorded compared to that in plant leaves. Edible parts of vegetables (fruits and/or leaves) accumulated metals more than the permissible limits despite the soils contained ammonium bicarbonate diethylenetriaminepentaacetic acid extractable metals within a safe range. In either case further scientific investigations are needed to ensure safe management strategies. Cadmium appeared to be the most threatening metal especially in leafy vegetables. It is advisable to avoid leafy vegetables cultivation in sewage irrigated areas everywhere to restrict its entry into food chain.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility