This article Citation:

Mohammad Yousuf Fakoor, T.V. Ramachandra Prasad, G.R. Denesh and H.V. Nanjappa. 2010. Impact of weed management practices on simulation of dry matter in maize through empirical models . Indian Journal of Weed Science : 42( ) 62- 66.







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Volume Issue Publication year Page No Type of article
42 2010 62-66 Full length articles
Impact of weed management practices on simulation of dry matter in maize through empirical models

Mohammad Yousuf Fakoor, T.V. Ramachandra Prasad, G.R. Denesh and H.V. Nanjappa

DOI: IJWS-2010-42-1&2 Supplymentary-13

Email: tvramachandraprasad@rediffmail.com
Address: AICRP Weed Control, Main Research Station, University of Agricultural Sciences, Hebbal, Bangalore (Karnataka)

Keywords:

Maize, Empirical models, Weed management practices, Dry matter production efficiency



Abstract:

A field experiment was conducted during kharif 2007 at the Main Research Station, University of Agricultural Sciences, Hebbal, Bangalore, under irrigated conditions to know the pattern of dry matter production in maize using empirical models under weed management practices. Empirical models simulated the crop growth (dry matter production) of maize by 98% indicating that competition of weed types did not alter the pattern of growth of maize, but cumulatively affected the total dry matter at harvest, where as, the linear function predicted the crop growth by 92 to 94%. Differentiating quadratic and linear functions indicated that dry matter production efficiency (DMPE) were improved by 34 to 46% in hand weeding or atrazine treatments due to elimination of weed competition over unweeded control. Competition of grassy weeds (in 2,4-D EE treatment) lowered the DMPE by 24% over atrazine treatment with less weed competition, while competition from broad leaf weeds and sedge lowered the DMPE by 22%. Thus grasses showed higher competitive ability, followed by broad leaf weeds and sedges.





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