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 P. Shah
Total Records ( 3 ) for P. Shah
  Amir Zaman Khan , M. Akhtar , R. Ahmad , N. Ahmad and P. Shah
  Protein and oil contents of soybean varieties were significantly affected by planting date and plant density. Late planted crop gave more protein content than early planted crop, while an inverse relationship was found for oil content. Lower plant density of 200 thousand plants ha -1 gave significantly more protein content than higher plant densities of 400 and 600 thousand plants ha -1 and the same response was observed for oil content but the difference among the plant densities did not reach the 5% significance level. Epps produced more protein and oil contents than William-82. There was no effect of plant density on Oil concentration in seeds of William -82, however Oil concentration in seeds of Epps decreased with increase in plant density, indicating differential response of Oil concentration in seeds of the two soybean varieties.
  Amir Zaman Kha , M. Akhtar , M. Riaz , N. Ahmad and P. Shah
  Not Available
  Shad K. Khalil , A. Wahab , A. Zaman Khan and P. Shah
  Seedling emergence require quantitative information concerning the interaction of seebed environment and preemergent seedling growth. The objective of this study was to predict the time of emergence of wheat by using mathematical models based on temperature and other indices. Wheat was planted at Malakandher Farm, Agricultural University Peshawar on six dates from 15th October to 30th December 1997 with 15 days interval. Days to emergence and rate of emergence and various indices were computed using the weather data. Coefficient of variation with low value was used as a criteria for predicting the seedling emergence. It was found that the product of mean temperature and photoperiod most accurately predict the seedling emergence of wheat compared with other indices as it has the lowest value among the six planting dates. Results show that this model is a useful tool for investigating the effect of temperature and other indices on seedling emergence.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility