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Linseed (Linum usitatissimum L.) production is affected by several factors, out of which weed is one of the most important factors responsible for causing tremendous loss in yield. An experiment was conducted during rabi season of 2018-2019 and 2019-2020 at Research Farm of Birsa Agricultural University, Kanke, Ranchi, Jharkhand to study the effect of pre and post-emergence herbicide on yield, economics, weed count, weed dry matter and weed control efficiency in linseed. The treatments comprised of weed management practices viz., T1-Weedy Check, T2-Hand weeding twice at 30 and 60 DAS, T3-Metribuzin 250 g/ha + Oxyflourfen 125g/ha (Pre.), T4-Pendimethalin 1 kg/ha (Pre.) fb. metsulfuron methyl 4 g/ha (Post.), T5-Imazethapyr 75 g/ha (Post.), T6-Oxyflourfen125 g/ha (Pre.), T7-Metsulfuron methyl 4 g/ha (Post.), T8-Clodinafop 60 g/ha (Post.), T9-Clodinafop 60 g/ha + metsulfuron methyl 4 g/ha (Post.) and T10-Oxadiargyl 80 g/ha (Pre.), and were replicated thrice. The research outcomes revealed that Hand Weeding twice at 30 and 60 DAS resulted in maximum seed yield (14.26, 15.66 and 14.96 q/ha), net return (Rs. 41635, 45907 and 43771/ha), in 2018-19, 2019-20 and pooled data respectively while among weed parameters hand weeding recorded minimum total weed count at 30 DAS (1.19 and 1.22 /m2) and 60 DAS (3.04 and 3.19 /m2), minimum total weed dry matter at 30 DAS (1.17 and 1.18 g/m2) and at 60 DAS (3.43 and 3.57 g/m2) and maximum weed control efficiency at 30 DAS (97.08 and 96.97%) and at 60 DAS (80.66 and 79.24%) in 2018-19 and 2019-20 respectively.

An experiment was conducted during Rabi 2018-19 and 2019-20 at Research Farm of Birsa Agricultural University, Kanke, Ranchi, Jhrakhand to study the “Effect of weed management practices on quality, weed count, weed dry matter and weed control efficiency in linseed”. The treatments replicated thrice and comprised of weed management practices viz., T1 -Weedy Check, T2 -Hand weeding twice at 30 and 60 DAS, T3 -Metribuzin 250 g/ha + Oxyflourfen 125g/ha (Pre.), T4 -Pendimethalin 1 kg/ha (Pre.) fb. metsulfuron methyl 4 g/ha (Post.), T5 -Imazethapyr 75 g/ha (Post.), T6 -Oxyflourfen 125 g/ha (Pre.), T7 -Metsulfuron methyl 4 g/ha (Post.), T8 -Clodinafop 60 g/ha (Post.), T9 -Clodinafop 60 g/ha + metsulfuron methyl 4 g/ha (Post.) and T10-Oxadiargyl 80 g/ha (Pre.). Application of Hand Weeding twice at 30 and 60 DAS was found superior in terms of oil content (38.91%) and oil yield (586.80 kg/ha) in pooled data. Also, analysis of pooled data revealed that Hand Weeding Twice at 30 and 60 DAS resulted in minimum total weed count (1.21 and 3.12 respectively), total weed dry matter (1.18 and 3.50 g/m2 respectively) and maximum weed control efficiency (97.03 and 79.95% respectively) when labours are easily available followed by post emergence application of clodinofop @ 60 g/ha+ metsulfuson methyl @4 g/ha in case of labours scarcity or it could be an alternative of hand weeding twice.

ABSTRACT. Farmers in northern parts of Pakistan face severe shortage of green forage for their livestock during the harsh winter season. Winter wheat has the potential to be used as a dual-purpose crop for forage plus grain production in these areas. Ten elite winter wheat lines from Oklahoma State University were evaluated at Hazara Research Station Abbottabad under unclipped and clipped treatment level during 2005-06. The material was planted in a randomized complete block design with three replications, with a row length of four meters and a row to row space of 25 cm. Data were recorded on green forage yield, plant height, spike length, spikelets/spike, days to maturity, spike weight, biological weight, and grain yield. Analysis of variance indicated significant differences among genotypes for all traits except spike length. Similarly all traits except spikelets/spike exhibited significant differences between unclipped and clipped treatment levels. Genotype x clipping interaction was non-significant for all traits except grain yield. Overall, winter wheat lines OK98G508W and OK00611W performed better for important traits such as early maturity, biological yield and grain yield, although over-environment testing is needed before recommendations can be made to the farmers.