Please use this identifier to cite or link to this item: http://localhost:80/xmlui/handle/123456789/15631
Title: EVALUATING POTASSIUM-USE-EFFICIENCY OF FIVE COTTON GENOTYPES OF PAKISTAN
Authors: ZIA-UL-HASSAN
KUBAR, K.A.
RAJPAR, I.
A.N. SHAH
TUNIO, S.D.
J.A. SHAH
MAITLO, A.A.
Issue Date: 12-Aug-2014
Publisher: Karachi: Pakistan Botanical Society
Citation: Kubar, K. A., Rajpar, I., Shah, A. N., Tunio, S. D., Shah, J. A., & Maitlo, A. A. (2014). Evaluating potassium-use-efficiency of five cotton genotypes of Pakistan. Pakistan Journal of Botany, 46(4), 1237-1242.
Abstract: Potassium (K) deficiency in Pakistani soils has been recently reported as the major limiting factor affecting sustainable cotton production. The present study was conducted to envisage how K nutrition affect the growth, biomass production, yield and K-use-efficiency of five cotton genotypes, NIBGE-3701, NIBGE-1524 (Bt-transgenic), Sadori, Sindh-1 and SAU2 (non-Bt conventional), commonly grown in Pakistan. All five genotypes were raised at deficient and adequate K levels, i.e. 0 and 60 kg K2O ha-1, respectively. The experiment was performed in plastic pots following a completely randomized factorial design with three repeats. Adequate K nutrition significantly increased various plant growth traits and yield of all cotton genotypes under study, viz. number of sympodia (21%), number of leaves (34%), leaf dry biomass (30%), shoot dry biomass (31%), number of bolls (50%) and yield of seed cotton (92%). Substantial variations were observed among cotton genotypes for their K-use-efficiency and K-response-efficiency. Sadori and SAU-2 were screened as most K-use-efficient cotton genotypes, while Sindh-1 and SAU-2 were ranked as the most K-responsive cotton genotypes. Interestingly, Sadori did not respond to K nutrition. Moreover, Bt cotton genotypes accumulated more K as compared to non-Bt genotypes. The cotton genotype SAU-2 was identified as ‘efficient-response’ genotype for better adaptation for both low- and high-K-input sustainable cotton agriculture systems.
URI: http://142.54.178.187:9060/xmlui/handle/123456789/15631
ISSN: 2070-3368
Appears in Collections:Issue 04

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