Effect of integrated weed management on weed dynamics of soybean [Glycine max(L.) Merrill] under Chhattisgarh plain

A field experiment was conducted during rainy seasons of 2011 and 2012 at Udaipur to evaluate the effect of weed control and sulphur on yield and quality of soybean [Glycine max (L.) Merrill]. The twenty eight treatment combinations comprising 7 weed management treatments (weedy check, pendimethalin 1.0 kg ha-1 pre- emergence, quizalofop-ethyl 50 g ha-1 and imazethapyr 100 g ha-1 post-emergence at 15 DAS, pendimethalin, quizalofop-ethyl and imazethapyr followed by hoeing and weeding at 30 DAS) in main plot and 4 rates of sulphur application (00, 20, 40 and 60 kg ha1) in sub plot were laid out in split plot design with three replications. All weed control treatments reduced weed dry matter at harvest during both the years. Pendimethalin followed by hoeing and weeding at 30 DAS was significantly superior in reducing weed dry matter of broad-leaved, narrow-leaved and total weeds at harvest over rest of the treatments. All weed control treatments significantly enhanced straw and biological yield of soybean over weedy check. Pendimethalin followed by hoeing and weeding at 30 DAS produced significantly higher pooled seed (2168 kg ha-1), straw (3167 kg ha-1) and biological (5335 kg ha-1) yields compared to other treatments. Sulphur rates had no significant effect on weed dry matter at harvest. Across the years, increasing level of S application up to 40 kg ha-1 resulted in significantly increased straw yield, biological yield and harvest index of soybean. Increasing rate of sulphur application up to 40 kg ha-1 tended to significantly increase protein and oil yield.

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Effect of Barley Sowing Density on the Integrated Weed Management of Lolium rigidum (Annual Ryegrass) in Mediterranean Dryland: A Modeling Approach

Agronomy ◽

10.3390/agronomy11081565 ◽

2021 ◽

Vol 11 (8) ◽

pp. 1565

Author(s):

María Belén D’Amico ◽

Guillermo R. Chantre ◽

Guillermo L. Calandrini ◽

José L. González-Andújar

Keyword(s):

Weed Management ◽

Life Cycles ◽

Integrated Weed Management ◽

Future Research ◽

Seed Removal ◽

Weed Infestation ◽

High Control ◽

Weed Dynamics ◽

The Impact

Population models are particularly helpful for understanding long-term changes in the weed dynamics associated with integrated weed management (IWM) strategies. IWM practices for controlling L. rigidum are of high importance, mainly due to its widespread resistance that precludes chemical control as a single management method. The objective of this contribution is to simulate different IWM scenarios with special emphasis on the impact of different levels of barley sowing densities on L. rigidum control. To this effect, a weed–crop population model for both L. rigidum and barley life cycles was developed. Our results point out: (i) the necessity of achieving high control efficiencies (>99%), (ii) that the increase of twice the standard sowing density of barley resulted in a reduction of 23.7% of the weed density, (iii) non-herbicide-based individual methods, such as delayed sowing and weed seed removal at harvest, proved to be inefficient for reducing drastically weed population, (iv) the implementation of at least three control tactics (seed removal, delay sowing and herbicides) is required for weed infestation eradication independently of the sowing rate, and (v) the effect of an increase in the sowing density is diluted as a more demanding weed control is reached. Future research should aim to disentangle the effect of different weed resistance levels on L. rigidum population dynamics and the required efficiencies for more sustainable IWM programs.

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