Weed Ecology and Weed Management Strategies for Dry-Seeded Rice in Asia

2012 ◽  
Vol 26 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Bhagirath S. Chauhan
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
Management Strategies ◽  
Suppressive Effect ◽  
Yield Potential ◽  
High Yield ◽  
World Population ◽  
Weed Ecology ◽  
Herbicide Timing ◽  
Management Approaches

Rice is a principal source of food for more than half of the world population, and more than 90% of rice worldwide is grown and consumed in Asia. A change in establishment method from manual transplanting of rice seedlings to dry-seeded rice (DSR) has occurred in some countries as growers respond to increased costs or decreased availability of labor or water. However, weeds are a major constraint to DSR production because of the absence of the size differential between the crop and the weeds and the suppressive effect of standing water on weed growth at crop establishment. Herbicides are used to control weeds in DSR, but because of concerns about the evolution of herbicide resistance and a scarcity of new and effective herbicides, there is a need to integrate other weed management strategies with herbicide use. In addition, because of the variability in the growth habit of weeds, any single method of weed control cannot provide effective and season-long control in DSR. Various weed management approaches need to be integrated to achieve effective, sustainable, and long-term weed control in DSR. These approaches may include tillage systems; the use of crop residue; the use of weed-competitive cultivars with high-yield potential; appropriate water depth and duration; appropriate agronomic practices, such as row spacing and seeding rates; manual or mechanical weeding; and appropriate herbicide timing, rotation, and combination. This article aims to provide a logical perspective of what can be done to improve weed management strategies in DSR.

scholarly journals Weed Management Strategies to Reduce Herbicide Use in Zero-Till Rice–Wheat Cropping Systems of the Indo-Gangetic Plains

2013 ◽  
Vol 27 (1) ◽  
pp. 241-254 ◽  
Author(s):  
Virender Kumar ◽  
Samar Singh ◽  
Rajender S. Chhokar ◽  
Ram K. Malik ◽  
Daniel C. Brainard ◽  
...  
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
Management Practices ◽  
Crop Residues ◽  
Management Strategies ◽  
Cropping System ◽  
Weed Suppression ◽  
Long Term Effects ◽  
Weed Ecology ◽  
Gangetic Plains

In the rice–wheat (RW) systems of the Indo-Gangetic Plains of South Asia, conservation tillage practices, including zero-tillage (ZT), are being promoted to address emerging problems such as (1) shortages of labor and water, (2) declining factor productivity, (3) deterioration of soil health, and (4) climate change. Despite multiple benefits of ZT, weed control remains a major challenge to adoption, resulting in more dependence on herbicides for weed control. Alternative management strategies are needed to reduce dependence on herbicides and minimize risks associated with their overuse, including evolution of herbicide resistance. The objectives of this review are to (1) highlight and synthesize research efforts in nonchemical weed management in ZT RW systems and (2) identify future weed ecology and management research needs to facilitate successful adoption of these systems. In ZT RW systems, crop residue can play a central role in suppressing weeds through mulch effects on emergence and seed predation. In ZT rice, wheat residue mulch (5 t ha−1) reduced weed density by 22 to 76% and promoted predation of RW weeds, including littleseed canarygrass and barnyardgrass seeds. For ZT wheat, rice residue mulch (6 to 10 t ha−1) in combination with early sowing reduced emergence of littleseed canarygrass by over 80%. Other promising nonchemical approaches that can be useful in suppressing weeds in ZT RW systems include use of certified seeds, weed-competitive cultivars, stale seedbed practices, living mulches (e.g., sesbania coculture), and water and nutrient management practices that shift weed–crop competition in favor of the crop. However, more research on emergence characteristics and mulching effects of different crop residues on key weeds under ZT, cover cropping, and breeding crops for weed suppression will strengthen nonchemical weed management programs. Efforts are needed to integrate multiple tactics and to evaluate long-term effects of nonchemical weed management practices on RW cropping system sustainability.

scholarly journals Weed Management in 2050: Perspectives on the Future of Weed Science

Weed Science ◽  
2018 ◽  
Vol 66 (3) ◽  
pp. 275-285 ◽  
Author(s):  
James H. Westwood ◽  
Raghavan Charudattan ◽  
Stephen O. Duke ◽  
Steven A. Fennimore ◽  
Pam Marrone ◽  
...  
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
New Technologies ◽  
Management Strategies ◽  
Integrated Weed Management ◽  
World Population ◽  
Plant Interactions ◽  
Weed Science ◽  
Modes Of Action ◽  
The Future

AbstractThe discipline of weed science is at a critical juncture. Decades of efficient chemical weed control have led to a rise in the number of herbicide-resistant weed populations, with few new herbicides with unique modes of action to counter this trend and often no economical alternatives to herbicides in large-acreage crops. At the same time, the world population is swelling, necessitating increased food production to feed an anticipated 9 billion people by the year 2050. Here, we consider these challenges along with emerging trends in technology and innovation that offer hope of providing sustainable weed management into the future. The emergence of natural product leads in discovery of new herbicides and biopesticides suggests that new modes of action can be discovered, while genetic engineering provides additional options for manipulating herbicide selectivity and creating entirely novel approaches to weed management. Advances in understanding plant pathogen interactions will contribute to developing new biological control agents, and insights into plant–plant interactions suggest that crops can be improved by manipulating their response to competition. Revolutions in computing power and automation have led to a nascent industry built on using machine vision and global positioning system information to distinguish weeds from crops and deliver precision weed control. These technologies open multiple possibilities for efficient weed management, whether through chemical or mechanical mechanisms. Information is also needed by growers to make good decisions, and will be delivered with unprecedented efficiency and specificity, potentially revolutionizing aspects of extension work. We consider that meeting the weed management needs of agriculture by 2050 and beyond is a challenge that requires commitment by funding agencies, researchers, and students to translate new technologies into durable weed management solutions. Integrating old and new weed management technologies into more diverse weed management systems based on a better understanding of weed biology and ecology can provide integrated weed management and resistance management strategies that will be more sustainable than the technologies that are now failing.

scholarly journals Bio-efficacy of Pre-emergent Herbicides for Weed Control in Maize: A Review on Weed Dynamics Evaluation

2020 ◽  
pp. 13-23
Author(s):  
Sadaf Iqbal ◽  
Sheikh Tahir ◽  
Anchal Dass ◽  
M. A. Bhat ◽  
Zahida Rashid
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
Dry Weight ◽  
Yield Potential ◽  
High Yield ◽  
Growth Stages ◽  
Weed Dynamics ◽  
Crop Weed Competition ◽  
Weed Emergence ◽  
High Yield Potential

Maize has high yield potential due to its C4 metabolism and physiological characteristics; however, the excessive occurrence of weeds in maize field limits the full expression of the yield potential of this crop. Weeds constitute one of the major economically important problems for maize growers and if not uncontrolled, it can reduce its yield up to 86 per cent. The magnitude of losses largely depends upon the composition of weed flora, period of crop-weed competition and its intensity. In order to realize the yield potential of maize, weed management becomes indispensable. Describing the various aspects of the topic, especially the influence of using pre-emergent use of herbicides on associated weeds revealed that the use of atrazine and pendimetheline are highly important component of today’s weed management systems for maize with higher weed control efficiency, lowest weed density and dry weight. Atrazin @ 1.2 kg active ingredient per ha and pendimmethline @ 1.0 a.i. kg per ha are important in reducing weed emergence in early growth stages of maize.

scholarly journals Weed control in soybean (Glycine max L.) through resource management strategies and its influence on yield and nutrient uptake

2017 ◽  
Vol 9 (1) ◽  
pp. 539-543
Author(s):  
Aradhana Bali ◽  
B. R. Bazaya ◽  
Sandeep Rawal
Keyword(s):  
Resource Management ◽  
Nutrient Uptake ◽  
Weed Control ◽  
Weed Management ◽  
Management Strategies ◽  
Climatic Conditions ◽  
Glycine Max L ◽  
Effect On Yield ◽  
Hand Weeding ◽  
Quizalofop Ethyl

A field experiment was conducted during kharif season of 2011 at Research Farm, Sher-e-Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu to evaluate the effect of weed management prac-tices on yield and nutrient uptake of soybean utilizing different resource management strategies. The lowest weed density and dry matter of weeds was recorded with hand weeding at 15 and 35 days after sowing (DAS) which was equally effective as imazethapyr @ 75 g ha -1 (PoE) fb hoeing at 35 DAS and quizalofop-ethyl @ 40 g ha-1 (PoE) fb hoeing at 35 DAS. All weed control treatments had significant effect on yield and nutrient up-take of soybean. Among the different weed control treatments, lowest N, P and K uptake by weeds were recorded in hand-weeding (15 and 35 DAS) which was statistically at par with imazethapyr @ 75 g ha -1 fb hoeing at 35 DAS. The maximum uptake by seed and straw were recorded in weed free which was statistically at par with twice hand weeding at 15 and 35 DAS, imazethapyr @ 75 g ha-1 fb hoeing at 35 DAS and quizalofop-ethyl @ 40 g ha-1 fb hoeing at 35 DAS. The highest seed and straw yield of soybean was harvested with hand-weeding (15 and 35 DAS) followed by imazethapyr @ 75 g ha -1 fb hoeing at 35 DAS. For the first time, soybean crop has been introduced in Jammu region for research purpose. Weed management varies with agro-climatic conditions. The study would be helpful to understand weed menace in this particular climatic condition of Jammu and to manage them combinedly and efficiently.

Herbicide Timing and Rate Effects on Weed Management in Three Herbicide-Resistant Canola Systems

2004 ◽  
Vol 18 (4) ◽  
pp. 1006-1012 ◽  
Author(s):  
K. Neil Harker ◽  
George W. Clayton ◽  
John T. O'Donovan ◽  
Robert E. Blackshaw ◽  
F. Craig Stevenson
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
Management Practices ◽  
Integrated Weed Management ◽  
Weed Biomass ◽  
Herbicide Resistant ◽  
Leaf Stage ◽  
Rate Effects ◽  
Herbicide Timing ◽  
Weed Removal

Herbicide-resistant canola dominates the canola market in Canada. A multiyear field experiment was conducted at three locations to investigate the effect of time of weed removal (two-, four-, or six-leaf canola) and herbicide rate (50 or 100% recommended) in three herbicide-resistant canola systems. Weeds were controlled in glufosinate-resistant canola (GLU) with glufosinate, in glyphosate-resistant canola (GLY) with glyphosate, and in imidazolinone-resistant canola (IMI) with a 50:50 mixture of imazamox and imazethapyr. Canola yields were similar among the three canola cultivar–herbicide systems. Yields were not influenced by 50 vs. 100% herbicide rates. Timing of weed removal had the greatest effect on canola yield, with weed removal at the four-leaf stage giving the highest yields in most cases. Percent dockage was often greater for GLU and IMI than for GLY. In comparison with the other treatments, dockage levels doubled for GLU after application at 50% herbicide rates. The consistency of monocot weed control was usually greater for GLY than for GLU or IMI systems. However, weed biomass data revealed no differences in dicot weed control consistency between IMI and GLY systems. Greater dockage and weed biomass variability after weed removal at the six-leaf stage or after low herbicide rates suggests higher weed seed production, which could constrain the adoption of integrated weed management practices in subsequent years.

scholarly journals The Effect of Different Weed Management Strategies on the Growth and Yield of Direct-Seeded Dry Rice (Oryza sativa)

2016 ◽  
Vol 34 (1) ◽  
pp. 57-64 ◽  
Author(s):  
S. MUHAMMAD ◽  
I. MUHAMMAD ◽  
A. SAJID ◽  
L. MUHAMMAD ◽  
A. MAQSHOOF ◽  
...  
Keyword(s):  
Weed Control ◽  
Crop Yield ◽  
Weed Management ◽  
Management Strategies ◽  
Control Measures ◽  
Growth And Yield ◽  
Primary Concern ◽  
Herbicide Treatment ◽  
Direct Seeded ◽  
Hand Weeding

Weed management is a primary concern in direct seeded rice (DSR) cropping because weed growth becomes a major constraint on crop yield. A two year field study was set up to evaluate the effect of various weed control measures on crop growth, grain yield and grain quality of DSR. The experiment involved five different weed control measures: hand weeding, hoeing, inter-row tine cultivation, inter-row spike hoeing and herbicide treatment (Nominee 100 SC). The extent of weed control (compared to a non-weeded control) ranged from 50-95%. The highest crop yield was obtained using hand weeding. Hand weeding, tine cultivation and herbicide treatment raised the number of fertile rice tillers formed per unit area and the thousand grain weight. Tine cultivation provided an effective and economical level of weed control in the DSR crop.

scholarly journals Weed Management Strategies in Chickpea (Cicer arietinum): A Review

2020 ◽  
Author(s):  
Akashdeep Singh ◽  
S. S. Rana ◽  
Anju Bala
Keyword(s):  
Weed Control ◽  
Cicer Arietinum ◽  
Weed Management ◽  
Management Practices ◽  
Management Strategies ◽  
Detailed Knowledge ◽  
Basic Requirement ◽  
Weed Species ◽  
The World ◽  
Hand Weeding

Chickpea (Cicer arietinum) is one of the most important pulse crops but it’s productivity in India is quite low. There are various reasons for low productivity. Weed control is the basic requirement and the major component of crop management. Weeds on an average reduce the crop yield by 40-87 per cent. Deciding time to control weeds requires detailed knowledge of the weed populations in the field. Different management practices like altering spacing, competitive cultivars, etc. can help in enhancing the productivity. With the world entering the precision-farming era, more emphasis is being put on the use of post-emergence herbicides. Application of two or more herbicide at the same time or as a double knockdown and integrating with hand-weeding provides desirable control of different weed species besides reducing the hazard of chemical weed control.

scholarly journals (416) Weed Management in Organic Sweet Corn

HortScience ◽  
2005 ◽  
Vol 40 (4) ◽  
pp. 1071E-1072
Author(s):  
Anthony Silvernail
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
Sweet Corn ◽  
Management Strategies ◽  
Organic Production ◽  
Control Methods ◽  
Weed Biomass ◽  
Corn Gluten ◽  
And Control ◽  
Smooth Pigweed

Organic weed control in direct seeded vegetables depends on management strategies that control weed germination or growth which depletes the weed seedbank. In 2004, a randomized complete-block experiment conducted on land transitioning to organic production examined the effects of tillage and control treatments on weed pressure in sweet corn [Zeamays (L.) cv. Silver Queen]. The two tillage treatments consisted of conventional (moldboard and rototill) and spader tillage. Weed control treatments included a weed free control, a spring-tine weeder, rolling cultivator, row flamer, stale seedbed, and corn gluten meal. In August, the weed infestation was primarily goose grass [Eleusineindica (L.) Gaertn.], crab grass [Digitariasanguinalis (L.) Scop.], giant foxtail (Setariafaberi Herrm.), and smooth pigweed [Amaranthushybridus (L.)] species. Dried weed weights indicated that smooth pigweed constituted about 80% of the total weed biomass in all but the control and flamer treatments. Plots managed with the spring-tine weeder or corn gluten had twice the weed biomass of those managed with the rolling cultivator and flamer. The rolling cultivator and control treatments produced equivalent husked corn yields (6.9 t·ha-1); yields were reduced by the other weed control methods. At 5.4 t·ha-1, yields in the flamer treatment were the lowest among all weed control methods. The flamer suppressed both weeds and the crop, which may preclude its utility for sweet corn production. Results demonstrated that the rolling cultivator provided the best weed control without negatively affecting potential yields.

Initial Weed Densities Affect No-Tillage Weed Management with a Rye (Secale cereale) Cover Crop

1997 ◽  
Vol 11 (3) ◽  
pp. 473-477 ◽  
Author(s):  
Inga A. Zasada ◽  
H. Michael Linker ◽  
Harold D. Coble
Keyword(s):  
North Carolina ◽  
Weed Control ◽  
Weed Management ◽  
Cover Crop ◽  
Management Strategies ◽  
No Tillage ◽  
Density Estimates ◽  
Common Lambsquarters ◽  
Weed Density ◽  
Control Effectiveness

The objective of this research was to evaluate the influence of different initial weed densities on weed control effectiveness in no-tillage corn at two locations in North Carolina during 1994 and 1995. Different weed densities were established over a 4-year period (1989–1992) by using various weed management strategies. Resultant density levels were estimated and used to establish high and low weed density plots. Treatments applied were PRE, POST, at-planting, and an untreated control. Weed density estimates were made 37 and 57 DAP. Common lambsquarters at low densities (20 to 40 weeds/m2) was controlled with the cover crop alone, but common lambsquarters at high densities (150 to 170 weeds/m2) and redroot pigweed at any density were not controlled. POST herbicides reduced weed densities as well as the PRE herbicides, regardless of initial weed densities.

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