AJPS  Vol.12 No.7 , July 2021
Influence of Weeding on the Performance of White Maize Varieties
Abstract: The experiment was conducted at agronomy farm of Sher-e-Bangla Agricultural University, Dhaka from November 2017 to April 2018 to investigate the influence of weeding regimes on the performance of white maize varieties. The experiment comprised two varieties viz. YANGNUO-3000 and PSC-121, designated as V1 and V2 respectively combined with four weed control treatments viz. T0 = No weeding, T1 = One hand weeding at 60 DAS (days after sowing), T2 = two hand weeding at 40 DAS and 60 DAS and T3 = Weed free after 40 DAS. The experiment was laid out in RCBD (factorial) with three replications. PSC-121 showed the superior performance in terms of plant height, leaf number plant-1, number of grains cob-1 (468.75), 100 grains weight (35.0837 g), grain yield (8.28 t ha-1), stover yield (6.56 t ha-1) and harvest index (55.58%) over YANGNUO-3000. In the case of weed control treatments, the highest plant height, leaf number plant-1, number of grains cob-1 (464.54), 100 grains weight (37 g), grain yield (9.25 t ha-1) and stover yield (7.46 t ha-1) were reported from T3. All the parameters studied were found lowest with T0. However, in terms of interaction, no single interaction was superior to other alternatives. But in most of the cases V2T3 showed the highest values regarding the maximum plant height, leaf number plant-1, number of grains cob-1 (494.97) and 100 grains weight (38 g). V2T3 showed the highest grain yield (9.33 t ha-1), whereas, V1T0 showed the lowest grain yield (5.49 t ha-1). The lowest weed density and weed biomass (12.17 no. m-2 and 4.33 g·m-2) was recorded from T3. The highest weed control efficiency (94.38%) was also recorded from T3. In the case of variety V2 showed better performance in terms of weed density, weed biomass and WCE (46.32%).
Cite this paper: Akter, S. , Mannan, M. , Ahmmed, T. , Khan, S. , Tasnim, M. and Ullah, J. (2021) Influence of Weeding on the Performance of White Maize Varieties. American Journal of Plant Sciences, 12, 1011-1022. doi: 10.4236/ajps.2021.127069.

[1]   Akbar, M.A., Siddique, M.A., Marma, M.S. and Ullah, J.M. (2016) Planting Arrangement, Population Density and Fertilizer Application Rate for White Maize Production in BandarbanValley. Agriculture, Forestry and Fisheries, 5, 215-224.

[2]   Cassman, K.G., Grassini, P. and Van Wart, J. (2010) Crop Yield Potential, Yield Trends and Global Food Security in a Changing Climate. In: Rosenzweig, C., Hillel, D. (Eds.), Handbook of Climate Change and Agroecosystems. Imperial College Press, London, 37-51.

[3]   Ray, D.K., Mueller, N.D., West, P.C. and Foley, J.A. (2013) Yield Trends Are Insufficient to Double Global Crop Production by 2050. PLoS ONE, 8, e66428.

[4]   Timsina, J., Jat, M.L. and Majumdar, K. (2010) Rice-Maize Systems of South Asia: Current Status, Future Prospects and Research Priorities for Nutrient Management. Plant and Soil, 335, 65-82.

[5]   Ali, M.Y., Waddington, S.R., Timsina, J., Hodson, D. and Dixon, J. (2010) Maize-Rice Cropping Systems in Bangladesh: Status and Research Needs. Journal of Agricultural Sciences and Technology, 3, 35-53.

[6]   BBS (2016) Yearbook of Agricultural Statistics 2014. Ministry of Planning, Government of Bangladesh, Dhaka.

[7]   Lee, E. and Tollenbar, M. (2007) Physiological Basis of Successful Breeding Strategies for Maize Grain Yield. Crop Science, 47, 202-215.

[8]   Macharia, C.N., Njeru, C.M., Ombakho, G.A. and Shiluli, M.S. (2010) Comparative Performance of Advanced Generations of Maize Hybrids with a Local Maize Variety: Agronomic and Financial Implications for Smallholder Farmers. Journal of Animaland Plant Sciences, 7, 801-809.

[9]   Ullah, M.J., Islam, M.M., Fatema, K., Mahmud, M.S. and Rahman, J. (2017) Comparing Modern Varieties of White Maize with Land Races in Bangladesh: Phenotypic Traits and Plant Characters. Journal of Experimental Biosciences, 8, 27-40.

[10]   Deewan, P., Mundra, S.L., Singh, D., Meena, M., Verma, R. and Sharma, N.K. (2017) Effect of Weed and Nutrient Management on Growth, Productivity and Protein Content of Quality Protein Maize (Zea mays L.). Journal of Pharmacognosy and Phytochemistry, 6, 271-274.

[11]   Oerke, E.C. and Dehne, W.H. (2004) Safeguarding Production Losses in Major Crops and the Role of Crop Production. Crop Protection, 23, 275-285.

[12]   Chikoye, D., Manywong, V.M., Carsky, R.J., Gbehounou, G. and Ahanchede, A. (2002) Response of Speargrass (Imperata cylindrical) to Cover Crops Integrated With Hand Weeding and Chemical Control in Maize and Cassava. Crop Protection, 19, 481-497.

[13]   Adebooye, O.C., Ajadi, S.O. and Fagbohun, A.B. (2006) An Accurate Mathematical Formula for Estimating Plant Population in a Four Dimensional Field of Sole Crop. Journal of Agronomy, 5, 289-292.

[14]   Mannan, M.A. (2018) Varietal Performances of White Maize as Influenced by Different Level of Herbicides. Master’s Thesis, Department of Agronomy, Sher-e-Bangla Agricultural University, Dhaka.

[15]   Abdullahi, S., Ghosh, G. and Dawson, J. (2016) Effect of Different Weed Control Methods on Growth and Yield of Maize (Zea mays L.) under Rainfed Condition in Allahabad. Journal of Agriculture and Veterinary Sciences, 9, 44-47.

[16]   Imoloame, E.O. and Omolaiye, J.O. (2017) Weed Infestation, Growth and Yield of Maize (Zea mays L.) as Influenced by Periods of Weed Interference. Advances in Crop Science and Technology, 5, 2.

[17]   Kebede, M. and Anbasa, M. (2017) Efficacy of Pre-Emergence Herbicides for the Control of Major Weeds in Maize (Zea mays L.) at Bako, Western Oromia, Ethiopia. American Journal of Agriculture and Forestry, 5, 173-180.