EVALUATION OF WEED MANAGEMENT PRACTICES ON YIELD PARAMETERS IN DIFFERENT RICE (Oryza sativa) FARMING SYSTEMS
Rakesh S1, Baradhan G2, Sundari A3 and Sivasakthivelan P4
An experiment was undertaken in a farmer's field in Chidambaram Sathamangalam, Cuddalore district of Tamil Nadu, during Samba 2020 to determine the weed management in different rice farming systems. The experiment was conducted in split plot design with four replications, two main treatments with different rice farming systems viz, M1-Monocropping and M2-Annamalai rice + fish + poultry farming system and three sub treatments with weed management practices viz., S1 – unweeded control, S2 – twice hand weeding on 20 and 40 DAT, S3 – pre emergence (PE) application through tank mix of butachlor (50 % EC) @ 1.25 kg a.i. ha-1 + 2,4-DEE (38 % EC) @ 0.6 kg a.i. ha-1. The results indicated that, in farming systems the Annamalai rice + fish + poultry farming system (M2) show significant performance on the various yield parameters than rice monocropping (M1). In weed management practices, twice hand weeding in on 20 and 40 DAT (S2) recorded the highest yield parameters. It was followed by PE application through tank mix of butachlor (50 % EC) @ 1.25 kg a.i. ha-1 + 2,4-DEE (38 % EC) @ 0.6 kg a.i. ha-1 (S3). The lowest yield parameters registered in unweeded control (S1).
Among interactions, Annamalai rice + fish + poultry farming system along with two hand weedings on 20 and 40 DAT (M2S2) recorded significantly the highest yield parameters during Samba 2020. This was followed by Annamalai rice + fish + poultry farming system along with PE application through tank mix of butachlor (50 % EC) @ 1.25 kg a.i. ha-1 + 2,4-DEE (38 % EC) @ 0.6 kg a.i. ha-1 (M2S3) in Samba 2020 cropping season. During the season lowest yield parameters were recorded in rice monocropping under unweeded control (M1S1). In this line it gives conclusion that, the Annamalai rice + fish + poultry farming system performs significantly better than rice mono cropping by recording the highest yield parameters during Samba 2020.