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THE IMPACT OF WEED COMPETITION AND CORRESPONDING INTERGRATED WEED MANAGEMENT IN PADDY RICE

BY Dr. R.K Wanjogu, W. O. Kouko and KIPNGETICH K. VINCENT NIB RESEARCH FINDINGS PRESENTATION AT K.S.M.S ON 4 th JULY 2014. THE IMPACT OF WEED COMPETITION AND CORRESPONDING INTERGRATED WEED MANAGEMENT IN PADDY RICE . Courtesy of baseline survey May 2012. OVERALL OBJECTIVE

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THE IMPACT OF WEED COMPETITION AND CORRESPONDING INTERGRATED WEED MANAGEMENT IN PADDY RICE

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  1. BYDr. R.K Wanjogu, W. O. Koukoand KIPNGETICH K. VINCENTNIB RESEARCH FINDINGS PRESENTATION AT K.S.M.S ON 4thJULY 2014 THE IMPACT OF WEED COMPETITION AND CORRESPONDING INTERGRATED WEED MANAGEMENT IN PADDY RICE

  2. Courtesy of baseline survey May 2012

  3. OVERALL OBJECTIVE • Evaluate different integrated weed management strategies on major paddy field weeds • Specific objectives • Assess the impact of weeds and weed control methods on the agronomic performance of rice under lowland condition. • Evaluate paddy field weeds of significance and their cost management in the scheme

  4. Research Questions • What is the impact of weed competition and weed control methods on the agronomic performance of rice? • What are the cost benefits of doing a weed control measure in rice production in terms of cost? • What dofarmers understand about the idea of managing weeds in rice cultivation under lowland ecosystem?

  5. MATERIALS AND METHODS • The trial is implemented at MIAD centre with a survey in the whole scheme • Experimental Design; Split plot Design with 3 main plots & 5 sub-plots replicated 3 times (45trts) employed • The plot size is 3m X 4m, with plant to plant and row to row spacing of 20cm X 20cm

  6. Cont’ • Main plots:- Popular rice cultivars Basmati 370 (V1), BW 196 (V2) and IR 2793-80-1 (V3) • Sub plots:- Different weed control measures:- +ve control (Total weed free), -ve control (unweeded), Contact herbicide), Systemic herbicide and farmers practice • Growth, weed type and their density, as well as yield parameters were measured • Scheme survey to appreciate farmers view and distribution of weeds sample size of 450 farmers across the scheme

  7. Effect of treatments on weed biomass (g/m2) Bs 370 BW 196 IR 2793-80-1

  8. Effect of treatments on yields IR 2793 Bs 370 BW 196

  9. PENDING WORK Objective one: Collate all the second season experimental data to prove hypothesis :- Yield data and as well as rank weed type and density Compare performance of different rice Cultivars with different treatments Objective two: Appreciate distribution of significant weeds across the scheme Get an understanding of farmers practice in weed management and its cost

  10. DISCUSSION Weeds have a notable effect on performance of rice under lowland irrigated condition while weed biomass of the notorious weed was not affected by choice of variety

  11. Cyperusdifformis (Sedge) L. Chinensis (grass) M. Minuta (Broad leaf)

  12. THANK YOU

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