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Articles by M. Umar Khan
Total Records ( 4 ) for M. Umar Khan
  M. Umar Khan , M. Qasim and M. Jamil
  A pot experiment was carried out to study the effect of different levels of Zn viz., 0, 5, 10 and 15 kg ha-1 along with a basal dose of NPK (175 kg N, 110 kg P2O5 and 100 kg K2O ha-1) on the Zn content of soil and chemical composition of rice Zn content of soil, leaves, roots, grain and straw of rice increased significantly with an increase in Zn fertilization. Similarly, significant maximum N and K content of rice grain and straw were found where zinc was applied @ 15 kg Zn ha-1. However, a decrease in its P concentration was found with the application of zinc.
  M. Umar Khan , M. Qasim and M. Jamil
  Response of rice variety IRRI-6 to various levels of zinc was studied in a pot culture experiment. Zinc was applied at the rate of 0, 5, 10 and 15 kg ha-1 in the form of ZnSO4 along with a basal dose of 175 kg N, 110 kg P2O5 and 100 kg K2O ha-1. The results showed that all the yield and yield components of rice increased significantly with increasing level of zinc fertilizer. However, significantly maximum plant height, average number of productive tillers per plant, panicles per plant, spikelets per panicle, 1000 paddy weight and grain and straw yield were obtained where Zn was applied at the rate of 10 kg ha-1 which was statistically at par with the treatments receiving Zn at the rate of 15 kg ha-1 except number of spikelets per panicle of rice.
  Mohammad Subhan , M. Qasim , Riaz-ud-Din Ahmad , M. Umar Khan , M. Amin Khan and M. Amir Amin
  An 8x8 diallel analysis study on cotton (Gossypium hirsutum L.) was launched in the Department of Plant Breeding and Genetics, Faculty of Agriculture, Gomal University, D.I. Khan, Pakistan during, 1996-99 to estimate the combining ability analysis in the inheritance and expression of some significant quantitative characters like, height of main stem, number of bolls plant-1, yield of seed cotton plant-1, boll weight and lint percentage using Griffing’s Method- II, Model-1 in F1 generation. The mean squares for General combining ability (GCA) effects, (SCA) effects and reciprocals effects were observed to be highly significant for all the mentioned characters. The estimates of component of variance clarified that the variance due to SCA was much higher in magnitude and more vital than GCA for traits like height of main stem plant-1, number of bolls plant-1, yield of seed cotton plant-1 and boll weight showing thereby the predominance of non additive type of gene action with (dominance or epistatic effects) in the inheritance of these traits. Whilst GCA was much higher in magnitude and more vital than SCA reflecting the role of additive type of gene action in case of lint percentage.
  Riazud Din Ahmad , Abdul Jabbar Malik , M. Ali Chang , Gul Hassan , Muhammad Subhan , M. Umar Khan and Liaqat Ali
  Experiment of 8×8 diallel analysis was conducted on Upland cotton (Gossypium hirsutum L.) in the Faculty of Agriculture, Gomal University, D.I.Khan, Pakistan during copping season 1997-99. Sowing was managed both on Flat land and Ridges to differentiate the estimation of combining ability analysis in the inheritance of some important yield components viz., Seed Index, Lint %age, Lint Index and Staple length by Griffing’s Method- II, Model-1 in F1 generation. The mean squares for General Combining Ability (GCA), Specific Combining Ability (SCA) and reciprocals effects of both flat land and ridges plantation were observed to be highly significant for the characters mentioned. The estimates of component of variance clarified that the variance due to SCA was much higher in magnitude and more imperative than GCA for all the traits mentioned above except for lint index in flat land but the SCA was quite higher in style of ridges for all the parameters. This type of variance percentage surly indicated the significant role of non additive type of gene action with (dominance or epistatic effects) in the inheritance of these traits, though additive type of gene action was reflected in case of Lint index because of its higher GCA (Flate Land).
 
 
 
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