Weed interference and control in soybean, as affected by row spacing, in the transition zone of South West Nigeria

Daramola, Olumide Samuel; Adeyemi, Olusegun Raphael; Adigun, Joseph Aremu; Adejuyigbe, C. O.

doi:10.1080/15427528.2019.1674759

Cited by 11 publications

(8 citation statements)

References 20 publications

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“…The efficacy of this treatment may be attributed to the suppression of weeds by the herbicide at the start of groundnut growth and the removal of weeds by the supplementary hoe-weeding later in the growing season, both of which helped to control weeds before setting seed and gave the crop a competitive advantage over weeds coming in the second flush. These results have corroborated the results from report of Daramola et al (2020) that integration of herbicide application and hoe weeding is superior to sole herbicide or sole manual hoe weeding.…”

Section: Effect Of Weed Management Meth-ods On Weed Cover Score and Bsupporting

confidence: 89%

“…Hoe weeding is the predominant weed control method commonly used by farmers in Nigeria (Imoloame, 2014;Daramola et al, 2020). Although hoe weeding is very important when trying to avoid the development of potential serious weed problems, its efficacy is often compromised by the continued wet condition characteristic of the beginning of the rainy season.…”

Section: Introductionmentioning

confidence: 99%

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Efficacy and economics of integrated weed management in groundnut (Arachis hypogea L.)

Ademabayoje¹,

Adigun²,

Adeyemi³

et al. 2020

Acta Agric. Slov.

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Weed management is an important and expensive step in groundnut production. Field experiments were conducted in the early and late wet seasons of 2017 to evaluate the effectiveness and profitability of weed management using hoe weeding, herbicides or their combination in groundnut production. Butachlor and propaben at 2.0 kg a.i (active ingredient) ha-1 each followed by (fb) supplementary hoe-weeding (shw) at 6 weeks after sowing (WAS) significantly reduced weed cover and biomass with subsequent increase in groundnut pod yield similar to hoe-weeding treatments and better than either herbicide applied alone. The highest groundnut pod yield (1485.7 kg ha-1) and revenue ($1639.2) in the early season was obtained with three hoe weeding passes. However, in the late season, the highest groundnut pod yield (1146.3 kg ha-1) was obtained with propaben plus hoe-weeding and the highest revenue ($1264.8) obtained with butachlor plus hoe-weeding. Although three hoe-weedings gave the highest revenue in the early season, the gross margin and cost-benefit ratio obtained with hoe weeding treatments was lower than those of herbicides fb shw. This study showed that integrated weed management with butachlor or propaben and fb shw will improve weed control, productivity and profitability of groundnut production. Multiple hoe weeding, however, did not guarantee the highest profit but rather increased the cost of production.

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Section: Effect Of Weed Management Meth-ods On Weed Cover Score and Bsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Efficacy and economics of integrated weed management in groundnut (Arachis hypogea L.)

Ademabayoje¹,

Adigun²,

Adeyemi³

et al. 2020

Acta Agric. Slov.

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“…Timing of weed control is important because crops have critical periods during which weed competition affects yield and beyond which effects are not detrimental to crop growth and yield (Knezevic and Datta, 2015). The critical period of weed interference is the period during which weed infestation is most detrimental to crop yield (Daramola et al, 2020). Few studies have been conducted on the effect of different periods of weed interference in rice systems in Africa (Adeyemi et al, 2017).…”

Section: Timing Of Weed Controlmentioning

confidence: 99%

“…In addition, labour for manual weeding is scarce and often too expensive for the average farmer to afford (Adigun et al, 2017;Daramola et al, 2019). Consequently, farmers spend a large amount of time in weeding operation (Daramola et al, 2020). In upland rice systems, hand weeding was estimated to take 173 to 376 person-hours per hectare, depending on the number of weeding interventions (Ogwuike et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Challenges of weed management in rice for food security in Africa: A review

Daramola

Adigun

Olorunmaiye

2020

Agricultura Tropica Et Subtropica

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Rice is one of the most important crops for food security in Africa. However, there is a large gap between its present demand and supply. Weed competition is basically one of the major constraints in rice systems in Africa, leading to 48–100% yield reduction and sometimes complete crop failure, thereby threatening food security. Weed control methods currently employed to avoid such losses are predominantly hoe-weeding and herbicide application. Hoe weeding is tedious, inefficient, time consuming, associated with high labour demands and often too expensive for the average farmer to afford. Herbicide use on the other hand, does not provide season-long weed control. Moreover, there are not many herbicides that can control different kinds of weeds with one application. Thus, to optimise yield, financial, social and environmental costs and benefits, integrated and ecological weed management approaches are advocated. Future weed research should therefore be focused on delivering information for the implementation of these approaches. This would require improved knowledge of weed biology and ecology, prioritization of problematic weed species, development of competitive rice cultivars and timely weed control. To address the diversity of weed problems in rice systems in Africa, however, research innovations must take full account of farmer’s local conditions using farmers’ participatory approaches. This review suggests that knowledge-based integrated novel approaches must be developed to assist farmers in coping with the challenges of weed management for sustainable rice production.

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“…However, Nigeria currently produces only 25% (680,000 tons) of its annual soybean requirement (2.2 million tons) with an average yield of 960 kg ha -1 leaving a supply gap of 1.5 million tones (Khojely et al, 2018). Among different factors attributed to the poor yield and productivity of soybean in Nigeria and other parts of SSA, weed infestation appears to be the most deleterious (Imoloame, 2014;Daramola et al, 2020). According to estimates, weeds alone cause an average yield reduction of 37% while other pests and diseases account for 22% of yield losses (Oerke and Dehne, 2004).…”

Section: Introductionmentioning

confidence: 99%

The effect of the period of weed interference on the growth and yield of soybean (Glycine max L. Merrill)

et al. 2020

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Field trials were conducted to evaluate the effect of different periods of weed interference on weed infestation, growth and yield of soybean in 2016-2017 cropping seasons. In both years, soybean grain yields ranged from 888- 1148 kg ha -1 in plots where weeds were allowed to grow until harvest to 2103- 2389 kg ha -1 in plots where weeds were controlled until harvest, indicating a 52- 58% yield loss with uncontrolled weed growth. Weed interference until 3 weeks after sowing (WAS) had no detrimental effect on soybean growth and yield provided the weeds were subsequently removed. However, further delay in weed removal until 6 WAS or longer depressed soybean growth and resulted in irrevocable yield reduction, with the number of pods per plant being the most affected yield component. For optimum growth and yield, it was only necessary to keep the crop weed-free between 3 and 6 WAS.

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Weed interference and control in soybean, as affected by row spacing, in the transition zone of South West Nigeria

Cited by 11 publications

References 20 publications

Efficacy and economics of integrated weed management in groundnut (Arachis hypogea L.)

Efficacy and economics of integrated weed management in groundnut (Arachis hypogea L.)

Challenges of weed management in rice for food security in Africa: A review

The effect of the period of weed interference on the growth and yield of soybean (Glycine max L. Merrill)

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