Agricultural Reviews

  • Chief EditorPradeep K. Sharma

  • Print ISSN 0253-1496

  • Online ISSN 0976-0741

  • NAAS Rating 4.84

Frequency :
Quarterly (March, June, September & December)
Indexing Services :
AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Agricultural Reviews, volume 45 issue 3 (september 2024) : 472-479

Weed Management in Oilseeds-A Holistic Perspective: A Review

Dhanu Unnikrishnan1, Sheeja K. Raj1,*, C.S. Arunima Babu1
1Department of Agronomy, College of Agriculture, Vellayani-695 522, Thiruvananthapuram, Kerala, India.
Cite article:- Unnikrishnan Dhanu, Raj K. Sheeja, Babu Arunima C.S. (2024). Weed Management in Oilseeds-A Holistic Perspective: A Review . Agricultural Reviews. 45(3): 472-479. doi: 10.18805/ag.R-2417.
Weeds are the major biological constraint in oilseed crops. Yield loss in oilseeds vary from 20 to 77 per cent, depending on the crop, intensity of weed infestation, duration of crop competition, soil and climatic factors. Weed interference, not only reduces the seed yield, but also reduces the oil yield and quality. Critical period of weed control in oilseeds are generally from 15 to 45 DAS. Weed removal during the critical period is essential to reduce the yield loss. Hike in wage rate and phytotoxicity of herbicides calls for an integrated approach for weed management in oilseeds. Instead of relying on a single method, a holistic approach which involves the adoption of cultural/mechanical/biological/chemical methods is essential to keep the weeds below the threshold level for higher yield, productivity and net returns in oilseed crops.
India is the fourth largest oilseed producing country in the world after USA, China and Brazil and contributes about 10 per cent of the world oilseeds production (Sushilkumar and Mishra, 2018). Oilseeds are grown for the high valued oil contained in their seeds. They are not only rich in fatty acids but also rich in protein and adds nutritive value to diet. 
 
In India, three major oilseed crops viz., soybean, rapeseed-mustard and groundnut contribute 88 per cent of total oilseed production. Among these, the major one is soybean, with an annual production of 11. 6 MT, grown mainly in the states of Madhya Pradesh, Maharashtra and Rajasthan accounting for 95 per cent of the total production. The second important crop is rapeseed-mustard with an annual production of 7.1 MT, grown in the states of Rajasthan, Haryana, Uttar Pradesh, West Bengal and Gujarat accounting for 93 per cent of total production. Groundnut ranks third in production, (6.9 MT) cultivated mainly in the states of Gujarat andhra Pradesh and Tamil Nadu which constitutes 91 per cent of total production in the country (Jalandhra and Rana, 2018).
 
Among the various yield impeders weeds are crucial in causing qualitative and quantitative yield reduction in oilseeds. Weed competition is a major problem in agricultural system due to reduction in the value of agricultural lands. Weed infestation may differ with respect to crop, region and soil type. In India, reduction in crop yield due to weed infestation accounts for 22.7 per cent in winter and 36.5 per cent during summer and rainy seasons (Bhan and Sushilkumar, 1999). Yaduraju (2006) reported that weeds caused 37 per cent yield loss in India which was higher than that of yield loss due to insect damage and diseases.
 
Yield loss due to weed infestation in oil seeds
 
Oilseeds are mainly confined to rainfed/dryland areas, where weeds compete with the crop plants for nutrients and soil moisture; the most limiting factors for growth. Varaprasad and Shanti (1993) reported that yield loss due to weed infestation in oilseed crops varied from 16 to 68 per cent. However, Karim (1998) reported that, estimated yield loss due to weeds in oilseed crops was 40.86 per cent. Channappagoudar and Biradar (2007) reported that weed infestation during early stages was one of the major factors for yield loss in groundnut and soybean and resulted in the loss of approximately USD 347 ha-1 in groundnut and USD 117 ha-1 in soybean, respectively. Mruthul et al., (2015) reported a yield loss of 50-75 per cent in sesame due to crop-weed competition. The presence of weeds during the critical stages of soybean may cause 8-55 per cent reduction in yield (Datta et al., 2017). Apart from severe yield reduction within the range of 35 to 70 per cent, depletion in oil content and quality were also observed in mustard under rainfed and irrigated conditions (Shekhawat et al., 2017). In groundnut, the extent of yield loss due to weed infestation was reported to be 62 per cent, during the rainy season and 47 per cent, during the summer season (Gharde et al., 2018). Therefore, judicious weed management is essential to manage weed population below the threshold level to reduce the yield losses in oil seed crops. The yield losses in major oil seed crops are presented in Table 1.

Table 1: Average yield reduction in oilseed crops due to weed infestation.


                                                                                                  
Major weed flora in oilseeds
 
Weed flora in oilseed crops changes with agro ecological conditions and crop management practices. All the three types of weeds viz., grasses, broad leaved weeds and sedges are found in association with oilseed crops. The major weed flora of Kharif grown oil seed crops are Digitaria sanguinalis (L.), Portulaca oleracea L., Conyza aegyptiaca (L.), Xanthium strumarium L., Euphorbia geniculate Ortega, Amaranthus viridis L., Dinebra retroflexa (Vahl) Panz, Cyperus rotundus L., Cyperus iria L., Panicum repens L., Cynodon dactylon (L.) Pers., Trianthema monogyna L., Echinochloa colona (L.), Tribulus terrestris L., Cenchrus biflorus Roxb. and Setaria viridis (L.) P. Beauv. The major weeds associated with Rabi grown oil seed crops are Argemone mexicana L., Anagallis arvensis L., Chenopodium album L., Chenopodium murale L., Asphodelus tenuifolius Cav., Cirsium arvensis (L.) Scop., Cynodon dactylon, Cyperus spp., Euphorbia geniculata, Avena fatua. L., Boerhaavia spp, Brassica kaber (DC) Wheeler, Brassica sinensis L., Fumaria parviflora Lam., Lathyrus aphaca L., Medicago denticulata Willd., Melilotus alba Medikus, Melilotus indica (L.), Euphorbia hirta L., Melotropicum indicum, Parthenium hysterophorus L., Physalis minima L., Solanum nigrum L., Spergula arvensis L. and Vicia hirsuta (L.) Gray (Jalandhar and Rana, 2018).
 
Berti and Zanin (1997) reported the frequent incidence of Echinochloa crus-galli (L.) P. Beauv, Digitaria sanguinalis, Chenopodium album (L.), Amaranthus spp. and Sorghum halepense  (L.) Pers. in soybean. In addition to that, broad-leaved weeds Trianthema portulcastrum (L.), Digera arvensis Forssk., Amarathus viridis and Commelina benghalensis (L.) were also found in association with soybean during kharif season (Nirmala et al., 2018).
 
The major weed flora in sunflower were observed to be Cyperus difformis L. and Cyperus rotundus L. among sedges, Euphorbia thymifolia L., Trichoderma indicum, Euphorbia hirta L., Phyllanthus niruri L., Digera arvensis L., Celosia argentea L., Commelina benghalensis L. and Boerhaavia erecta L. among broad-leaved weeds and Brachiaria reptans L., Cynodon dactylon L. Pers., Dactyloctenium aegyptium L., Echinochloa colona L. Link., Digitaria bicornis L., Digitaria sanguinalis L. and Chloris barbata Sw., among grasses (Sankar and Subramanyam, 2011).
 
Melilotus indica, Trigonella polycerata, Chenopodium murale, Chenopodium album, Orobanche aegyptiaca (Pers.), Cynodon dactylon, Convolvulus arvensis, Carthamus oxyacantha M. Bieb. and Avena ludoviciana (Dur.) were found highly associated with mustard (Punia et al., 2010).
 
Onattukara tract is the major area under sesame and groundnut in Kerala. Sreepriya and Girija (2018) inferred that the major weeds associated with sesame grown in Onattukkara region were Cleome viscosa L, Digitaria sanguinalis, Echinicloa colona and Melochia corchorifolia L. Sarin (2020) reported that major broadleaved weeds associated with groundnut were Portulaca oleracea Cleome rutidosperma DC., Melochia corchorifolia, Synedrella nodiflora (L.) Gaertn., Phyllanthus niruri L. and Heliotropium indicum L. Moreover, the predominant grass weeds were Cynodon dactylon and Eleusine indica (L.) Gaertn. while Cyperus rotundus was the only one sedge found in the experimental field.
 
Critical period of crop weed competition
 
The critical period of crop weed competition (CPCWC) is the most sensitive interval in the crop growth cycle at which weeds should be controlled to avert inadmissible yield loss.  It is referred to as the optimum time in the life cycle of the crop during which the crop must be free of the adverse effect of weeds (Juraimi et al., 2009). Most of the annual crops are susceptible to weed competition during the early stage of growth and it is usually between the first one third to one half of the crop life cycle (Mercado, 1979). However, it depends on crop cultivar, weed flora, weed intensity, climatic and edaphic factors. Knowledge of CPCWC is essential for integrated weed management programme and for planning precise weed control strategy through rational use of herbicides and other weed control measures. (Rana and Rana, 2016). Critical period of crop weed competition in oilseeds are presented in Table 2.

Table 2: Critical period of crop weed competition in oilseeds.


                                                                              
Integrated weed management (IWM)
 
Integrated weed management (IWM) is an approach that aims at bringing down the weed intensity to a level that do not pose any significant danger to crops and humans. Being a comprehensive method, it controls and mitigates weed infestation in fields incorporating diverse techniques. Multiple strategies which are economically and environmentally sound are advocated in IWM to manage weeds (Nazarko et al., 2005). It has been proved to be more effective than any single method in alleviating the buildup of weeds in a crop land (Lamichhane et al., 2017). It is a system approach to maintain the weed population below the economic threshold level by employing all available means of weed control in coordination (Pooniya et al., 2016). IWM is an inevitable strategy that involves the combination of cultural, mechanical, chemical and/or biological practices of weed management in a systematic manner.
 
Cultural weed management
 
Cultural methods are essential for improving crop health and competitiveness of crop against weeds thus enabling the crop to overcome the existing weed pressure. It includes non-chemical and ecologically sound practices.
 
Selection of suitable planting method helps to eliminate weed flora. Jha and Soni (2013) reported that in soybean, flat bed method of sowing recorded higher density of monocot (43.2 no. m-2) and dicot weeds (34.4 no. m-2) whereas, broad bed furrow method recorded the lowest density of monocots and dicots (25.1 and 18.7 no. m-2). Jangir et al., (2018) revealed that weed dry weight in mustard at 20 and 40 DAS was the lowest (9.53 and 20.99 g m-2 respectively) in normal planting with narrow row spacing of 30 cm x 10 cm compared to paired row planting and normal planting with wider row spacing of 45 cm. The decrease in weed dry weight in narrow row spacing was attributed to higher plant population per unit area which limits availability of resources essential for weed emergence, germination and growth. Thus narrow inter-row spacing, increased the competitiveness of mustard against weeds.
 
Optimization of sowing time is essential, as it influences the crop yield and other agronomic traits. Weed density and biomass can be significantly reduced by adopting optimum time of sowing. Marangoni et al., (2013) revealed that compared to planting in December, November planted soybean cultivars recorded the lowest dry weight of monocot weeds and total weed dry weight at 26 days after emergence and harvest. The optimum time of sowing favoured better crop development and enhanced the competitive potential of soybean cultivars against weeds. Sesame seed yield declined as the planting date was delayed from May to late June (Ahmed et al., 2009). Rahman et al., (1994) and Sarkar et al., (2007) also obtained highest seed yield for early sown sesame compared to the late sown crop.
 
Soil solarisation, a method of hydrothermal disinfestation of soil offers weed control through built up of lethally high temperature in surface soil where most of the viable and dormant seeds dry and promote suicidal germination (Soumya et al., 2004). Incorporation of organic residue or amendments to the seedbed before soil solarization, will enhance the effect of solarization by providing food for the microbes and enhance the soil temperature. Annual weeds are better controlled by soil solarization than perennials (DAddabbo et al., 2009). Creeping perennials (nut sedge) and weeds having hard seed coat (morning glory) are resilient to soil solarisation (Birthisel et al., 2018). Singh (2006) reported that soil solarization, using transparent or black polyethylene film for 30 days before sowing of soybean, decreased the weed growth. Besides, soil solarization using transparent polyethylene for 30 days increased the soybean yield by 90 per cent.
 
Covering the soil surface with suitable mulch can reduce weed seed germination. Mulches control weed density by acting as a physical barrier, altering the microclimate, pH, C: N ratio, immobilization of nutrients, release of allelopathic chemicals and restricting the amount of light reaching the soil surface. Natural materials (straw, crop residues etc.) as well as polyethene films can be used as mulch for weed management. Cover crop residues that remained as natural mulches over soil surface had greater potential to suppress weeds by reducing light availability, increasing the soil temperature and production of allelochemicals (Teasdale and Mohler, 1993). Subrahmaniyan et al., (2002) reported that among the various weed control practices, mulching with polyethylene film recorded the lowest weed dry weight at harvest and the highest weed control efficiency. Bio-mulches have greater scope for effective weed management as the bio-mulches are eco-friendly, sustainable, locally available and economical. Vidyashree et al., (2019) revealed that mulching with eucalyptus leaves @7 t ha-1 in sunflower, registered weed control efficiency of 66.5 per cent by effectively supressing the weed emergence and weed growth. This was attributed to the release of allelochemicals like p-coumaric acid and caffeic acid upon decomposition which are detrimental to the weeds.
 
Stale seedbed technique works by killing the shallow “germinable” weeds that would develop normally and compete with the crop after being planted/sown. The shallow weed seeds emerge prior to crop planting or during the early stages of the crop establishment, while germinable weed seeds at deeper depths remain unaffected (Cerruti et al., 2014). Stale seed bed prepared 30 days before sowing sesame, significantly reduced the density of grasses, broad-leaved weeds and sedges compared to conventional seed bed preparation (Venkatakrishnan, 1997). The success of stale seed bed is assured, when the seeds of non-dormant weeds are present in the top 6 cm soil profile (Sanbagavalli et al., 2016). Arora and Tomar (2012) opined that the stale seedbed recorded the lowest dry weight of weeds, the highest WCE (53.91%) and the highest pod yield in groundnut.
 
Crop rotation is considered to be a vital tool for weed management. Crop rotation with different production practices decreased the weed density by reducing the build-up of crop associated weeds. Kumar et al., (2016) opined that crop rotation breaks the weed seed cycle and prevents the development of diverse weed population. Mustard/Gobhi sarson sown after rice during winter season reduced Phalaris minor infestation to a great extent in north-western wheat belt of India (Singh and Singh, 2006). Kumar et al., (2016) reported that growing sesame in rainy season significantly reduced the population of Cyperus in winter pulses. Rotation with non-host crops is usually suggested for parasitic weed control. Acharya et al. (2002) observed that Orobanche aegyptiaca seed bank was reduced by 33.35 per cent by a local cultivar of Brassica campestris as a catch crop. Sesame as a trap crop decreased broomrape biomass by 86 per cent when included in rotation at infested fields. (Sirwan et al., 2010).
 
Inclusion of oilseed crops in the cropping system significantly reduced the weeds. Singh et al., (2005) reported that maize + soybean in 1:1 or 1:2 ratio effectively reduced the weeds in maize. Mishra (2014) pointed out that maize + toria in 1:2 ratio or maize + linseed in 1:2 ratio or maize + mustard in 1:1 ratio significantly reduced the weeds in winter maize over sole maize. Inclusion of sunflower before rice in rice-wheat rotation provided a satisfactory weed control in the succeeding rice crop. Similarly, replacement of sorghum by summer sunflower would also help to control summer as well as winter weeds (Rawat et al., 2017). In rice-yellow mustard- green gram cropping system, conservation tillage with recommended herbicides + one handing in all the three crops resulted in effective control of weeds and higher seed yield in yellow mustard (Teja and Duary, 2018).

Intercropping suppressed weeds better than sole cropping and provided condition favourable for the crop to utilize resources in a sustained manner (Rao and Shetty, 1976). Liebman and Dyck (1993) suggested that intercropping provides better weed control over sole cropping by imparting competition with weeds and also by converting resources to harvest material efficiently than sole crops. Intercropping of Brassica carinata and Brassica juncea significantly reduced the weed population and weed dry matter accumulation compared to sole stand (Rana, 2006). Kour et al., (2013) reported that intercropping of chickpea + mustard  recorded the lowest weed density and weed dry weight compared to sole cropping of chickpea as a result of lesser space available to the weeds due to intercrops and lesser availability of resources to the weeds. Kumar et al. (2020) revealed that intercropping of cotton with sesame and sunflower, lowered the weed density and total weed biomass compared to mono cropping of cotton. The reduction in weed density and biomass observed in intercropping treatments was due to the smothering effect of intercrops on the weeds that prevented seed germination. Lower weed density and biomass in the intercropping system may also be due to the release of allelopathic compounds from sesame and sunflower by volatilization and root exudation.
 
Seed priming is a pre-sowing strategy of controlled hydration of seeds by modulating pre-germination metabolic activity of seeds prior to emergence of the radicle. This technique hastens the rate of germination and ensures better plant performance. Dias et al., (2011) reported that soybean plants developed from high vigour seeds had higher competitive ability against weeds than those developed from low vigour seeds. Hydropriming of sesame seeds followed by pre and post emergence of herbicides effectively controlled the weeds and produced seed yield comparable with that of weed free situation (Vafaei et al., 2013). Sreepriya and Girija (2018) revealed that seed priming improved weed competitiveness in sesame. The seeds soaked in 0.3 per cent MnSO4 solution for 8 hours increased the competitive ability of sesame and supressed the weed growth in sesame.
 
Selection of suitable competitive cultivars significantly reduced the weed growth. Priya et al., (2015) revealed that groundnut cultivars significantly influenced the dry weight and density of weeds associated with the crop. The lowest density and dry weight of all the categories of weeds were observed in groundnut cultivar ‘Kadiri-6’ due to its better ground coverage. Soybean cultivars showed significant effect on weed dry weight and the lowest weed dry weight observed in Giza 111 cultivar was due to its higher vegetative growth which in turn exerted greater competition against weeds compared to other cultivars (El-Metwally et al., 2017).
 
Mechanical weed management 
 
Mechanical method of weed management involves the removal of weeds mechanically with the help of various tools and implements. Hand operated/power operated/ animal drawn harrows/ cultivator and manual or power operated weeders are the commonly used ones.
 
Tillage and hoeing come under mechanical method of weed control. The distance between the rows is a critical factor and proper inter row space should be maintained so that inter-row hoeing can be carried out with minimum damage to the crop. Rotary hoes and cultivators are commonly used for weed control in soybean. About 70 per cent weed control could be achieved by rotary hoeing up to 1-3 leaf stage. In addition, harrowing before planting can also help to reduce the weeds in soybean (Joshi, 2001). Wheel hoeing twice at 20 and 40 DAS recorded the highest seed yield (9.07 q ha-1) in mustard (Gogoi and Kalita, 1995). Ali and Kumar (2000) found that deep tillage practices before sowing of mustard seed, controlled annual weeds (Anagallis arvensis and Medicago denticulta) and perennial weed (Convolvolus arvensis).
 
Conventional tillage practices recorded the lowest weed density and the highest grain yield in sesame whereas, the no-till planting system resulted in the highest weed density (Ozturk, 2019). Tarwariya and Rajput (2019) revealed that conventional tillage practices recorded the lowest weed population and the highest weed control efficiency and grain yield in mustard. This was due to the fact that tillage provided a favourable condition for the effective absorption and utilization of nutrients and moisture by the plants which resulted in higher photosynthetic rate and accumulation of dry matter.
 
Chemical method of weed management
 
Use of effective and reliable chemical herbicides is a predominant method adopted for weed management in many parts of the world. Herbicides are the only alternatives left under such circumstances of unavailability of labours, high cost of labours and unfavourable environment. Presently a wide variety of old and new generation herbicides are available and are being recommended for usage. The efficiency of the herbicide is governed by factors like weed species, soil conditions (type, moisture, organic matter, clay content and pH), dose of herbicide, method of application, spray volume and physiological stage of the crop.
 
Pre-plant incorporation of fluchloralin at 1.0 kg ha-1 supplemented with one hand weeding at 40 days after sowing (Degra et al., 2006) showed significant reduction in weed density in mustard. Pre-emergence application of isoproturon at 0.5 kg ha-1 + one inter cultivation at 30 DAS brought significant reduction in weed density and biomass in rapeseed and mustard in India (Singh et al., 2009). Nainwal et al., (2010) opined that the application of diclosulam in soybean, controlled both monocot and dicot weeds whereas post-emergence application of haloxyfop was found effective for control of grasses. The improved seed yield obtained with diclosulam application showed its higher efficacy to control the broad spectrum of weeds. Mishra (2020) revealed that application of oxyfluorfen 23.5 EC @ 0.2 kg ha-1 at 2 DAS and imazethapyr 10 per cent SL @ 100 g ha-1 at 15 DAS were the practically convenient and economically feasible weed management practice for groundnut considering the extent of weed control, scarcity and high cost of labours and B:C ratio. Sarin (2020) reported that imazethapyr @ 70 g ha-1 as post emergence application recorded the lowest weed dry weight in groundnut. The better suppression of weeds also resulted in higher kernel yield compared to other treatments. Commonly used herbicides for weed control according to the time of application are presented in Table 3.

Table 3: Herbicides used for weed control in oilseeds according to the time of application.


 
Weed population in ground nut was effectively managed by pre-emergence application of pendimethalin @ 1.0 kg ha-1 + post emergence application of quizalofop-p- ethyl @ 50 g ha-1 at 20 DAS + one hand weeding at 45 DAS. Pre emergence application of pendimethalin @ 1.0 kg ha-1 + post emergence application of imazethapyr @ 75 g ha-1 at 20 DAS + one hand weeding @ 45 DAS was proved to be best weed control in ground nut (AICRPG, 2009). Weed management strategy that recorded best results in soybean were pre emergence application of pendimethalin @ 677.25 g ha-1 + one hand weeding at 30 DAS or pre emergence application of mertribuzin @ 525 g ha-1 + one hand weeding at 30 DAS or pre emergence application of mertribuzin @ 525 g ha-1 followed by post emergence application of imazethapyr + propaquizafop-ethyl @ (80+60) g ha-1 (Patel et al., 2018).
 
Biological weed management
 
Biological management of weeds are the use of a biotic agents to suppress or reduce the population of a pest. The two major types of biological weed control are classical (inoculative) and inundative approach (Watson, 1991). Classical approach involves the selection and introduction of an agent, that upon release, self-perpetuates and establishes itself and provides long term control of the weed population. The inundative strategy of biological control entails the mass production and application of a host specific agent at high inoculum levels over a localized area infected with the target weed.
 
Pseudomonas syringae pv. tagetis is used as a bioherbicide for the control of Canada thistle Cirsium arvense) in soybean. Watson (1991) observed that application of the bacteria during spring reduced the number of Canada thistle (no m-2) by 78 per cent compared to the control, with no disease incidence in soybean crop. Puccinia canaliculata registered as DR BIOSEDGE is used for controlling Cyperus rotundus in all cropping systems. Phatak et al., (1983) reported that application of Puccinia canaliculata completely inhibited flowering and reduced yellow nutsedge stand and tuber formation by 46 and 66 per cent, respectively. The fungus Colletotricum gleosporoides f. sp aeschnomene (CGA) was effective against   northern joint vetch (Aeschynomene virginica) in soybean. Biological method of weed control was reported in the management of parthenium, an invasive alien weed found in soybean growing areas. Sushilkumar (2008) reported that Zygogramma bicolorata was the only successful insect bioagent against parthenium.
 
Allelopathic weed management
 
Allelopathy infers to any direct or indirect interaction of one plant on other through the release of chemical substances. Mahmoodzadeh and Mahmoodzadeh (2013) revealed that soybean leaf extracts significantly decreased the germination and growth of Sorghum halepense. Besides, growth of Abutilon theophrasti (velvet leaf) and Setaria italica (foxtail millet) were retarded when watered with soybean root exudates.
 
Aqueous extracts of sunflower inflorescence, stem, leaves and roots inhibited the germination and seedling growth of red root pig weed (Amaranthus retroflexus), crab grass (D. sanguinalis) and Japanese brome (Bromus japonicus) (Naseem et al., 2009). Hussain et al., (2017) reported that the shoot length and dry weight of Cyperus rotundus decreased with the graded concentrations (50% and 100%, respectively) of sesame leaf leachate. Allelochemicals present in sesame leaf leachate inhibited the expression and elongation of bud cells and caused cessation of cell division resulting in reduced dry weight.
 
Herbicide resistant crops (HRCs)
 
Herbicide resistance is the inherited ability of a plant to survive and reproduce following exposure to a dose of herbicide normally lethal to the wild type. Herbicide-resistant crops were initially produced by methods of traditional breeding, whereas at present the major HRCs have been produced by genetic engineering. Among the HRC’s, glyphosate-resistant crops (Roundup Ready) occupy more than 80 per cent of area under transgenic crops (Duke et al., 2001). Gusta et al., (2011) reported that herbicide-tolerant canola generated USD 1.06-1.19 billion annual net direct and indirect benefits for farmers and offered a new weed control option.
Weed interference cause significant reduction in yield in oilseed crops. Yield reduction depends on the duration of weeds in the field and severity of weed infestation. To reduce losses in oilseed crops, weed control should be carried out at the early stages of crop growth.  Hand hoeing is commonly practiced by the farmers, but non availability of labour for weeding and hike in wage rate forced the farmer to skip weeding during the critical period of weed control and resulted in heavy yield loss. Phytotoxicity also restricts the use of herbicides in oil seed crops. Non availability of selective post emergence herbicides for the control of broad leaf weeds leads to severe infestation of broad leaf weeds in oilseed crops.  Hence, a holistic approach involving a judicious and rationalized blend of cultural/mechanical/chemical and /or biological methods is essential to obtain a satisfactory and successful weed control for higher yield and net returns in oil seed crops.
All authors declare that they have no conflict of interest.

  1. Acharya, B.D., Khattri, G.B., Chettri, M.K. and Srivastava, S.C. (2002). Effect of Brassica campestris var. toria as a catch crop on Orobanche aegyptiaca seed bank. Crop Protection  21: 533-537.

  2. Ahmed, H.G., Aliyu, U., Haruna, A.B., Isa, Y.S. and Muhammad, A.S. (2009). Effects of planting date and weeding regimes on growth and yield of sesame (Sesamum indicum L.) in Sokoto, North-Western Nigeria. Nigerian Journal of Basic and Applied Sciences. 17(2): 202-206.

  3. AICRPG [All India Coordinated Research Project on Groundnut]. (2009). Annual Report 2008-2009. All India Coordinated Project on Groundnut, Junagarh, 79p. 

  4. Ali, M. and Kumar, S. (2000). Integrated weed management in mustard (Brassica juncea). Indian Farming. 50(8): 4-13.

  5. Arora, A. and Tomar, S.S. (2012). Effect of soil solarization on weed seed bank in soil. Indian Journal of Weed Science. 44 (2): 122-123. 

  6. Berti, A. and Zanin, G. (1997). GESTINF: A decision model for post- emergence weed management in soybean [Glycine max (L.) Merr.]. Crop Protection 16 (2): 109-116.

  7. Bhan, V.M. and Sushilkumar, R.M.S. (1999). Weed management in India. Indian Journal of Plant Protection. 17: 171-202.

  8. Birthisel, S.K., Gallandt, E.R. and Souza Cunha, A.E. (2018). Solarization and Tarping for Weed Management on Organic Vegetable Farms in the Northeast USA [on-line]. Available: https:// articles.extension.org/pages/74713/solarization-and- tarping-for-weed-management-on-organic-vegetable- farms-in-the-northeast-usa [22 Nov. 2020].

  9. Cerruti, R.R., Hook, Amanda, L., Buchanan and Chen, G. (2014). The stale seedbed technique: A relatively underused alternative weed management tactic for vegetable production. Maryland Organic Food and Farming Association. 

  10. Channappagoudar, B.B. and Biradar, N.R. (2007). Physiological approaches for weed management in soybean and redgram (4:2 rp) intercropping system. Karnataka Journal of Agricultural Science. 20(2): 241-244. 

  11. D., Addabbo, T., Miccolis, V., Basile, M. and Candido, V. (2009). Soil Solarization and Sustainable Agriculture. In:  Sociology, Organic Farming, Climate Change Soil Science. [Lichtfouse, E. (Ed.)], Springer Nature Switzerland. ppL: 271-274.

  12. Datta, A., Ullah, H., Tursun, N., Pornprom, T., Knezevic, S.Z. and Chauhan, B.S. (2017). Managing weeds using crop competition in soybean [Glycine max (L.) Merr]. Crop Protection 95: 60-68.

  13. Degra, M.L., Shivam, R.K. and Sharma, R. (2006). Integrated weed management in Indian mustard (Brassica juncea L.). Indian Journal of Weed Science. 38(3 and 4): 274-275.

  14. Dias, M.A.N., Pinto, T.L.F., Mondo, V.H.V., Cicero, S.M. and Pedrini, L.G. (2011). Direct effects of soybean seed vigor on weed competition. Revista Brasileira de Sementes. 33: 346-351.

  15. Duke, S.O., Scheffler, B.E., Dayan, F.E., Weston, L.A. and Ota, E. (2001). Strategies for using transgenes to produce allelopathic crops. Weed Technology. 15: 826-834.

  16. Dungarwal, H.S., Chaplot, P.C. and Nagda, B.L. (2002). Weed control in Castor (Ricinus communis). Indian Journal of Agricultural Science. 72(9): 525-527.

  17. El-Metwally, I.M., Elewa, T.A.E. and Dawood, M.G. (2017). Response of soybean cultivars to weed control treatments. Agricultural Engineering International- CIGR Journal. 159: 132-139.

  18. Gharde, Y., Singh, P.K., Dubey, R.P. and Gupta, P.K. (2018). Assessment of yield and economic losses in agriculture due to weeds in India. Crop Protection 107: 12-18.

  19. Gogoi, A.K. and Kalita, H. (1995). Effect of weed control and fertilizers placement on weeds, yield components and seed yield of Indian mustard (Brassica juncea L.). Indian Journal of Agronomy. 40(4): 643-646.

  20. Gusta, M., Smyth, S.J., Belcher, K. and Phillips, P.W.B. (2011). Economic benefits of genetically modified herbicide- tolerent canola for producers. Agribios Forum. 14(1): 1- 13.

  21. Hussain, I., Singh, NB., Singh, A. and Singh, H. (2017). Allelopathic potential of sesame plant leachate against Cyperus rotundus L. Annals of Agraian Science. 15(1): 141-147.

  22. Jalandhra R. and Rana, S.S. (2016). Weed management in oilseed crops. Available online. DOI: 10.13140/ RG.2.2.36203. 85289 [07 Nov.2020].

  23. Jangir, R., Arvadia, L.K. and Rajpurohit, D.S. (2018). Effect of different planting methods and weed management practices on yield and economic of mustard (Brassica juncea L.) and weed population, weed dry matter, accumulation, weed control efficiency, weed index, nutrient content and uptake by weeds. International Journal of Current Microbiology and Applied Sciences. 7(2): 2300-2333.

  24. Jha, A.K. and Soni, M. (2013). Weed management by sowing methods and herbicides in soyabean. Indian Journal of Weed Science. 45(4): 250-252.

  25. Joshi, N.C. (2001). Weed Control Manual (5th Ed). Delhi Research Station, Delhi, 538p.

  26. Juraimi, A.S., Najib, M.M., Begum, M., Anuar, A.R., Azmi, M. and Puteh, A. (2009). Critical period of weed competition in direct seeded rice under saturated and flooded conditions. Pertanika Journal of Tropical Agricultural Science. 32(2): 305-316.

  27. Karim, S.M.R. (1998). Relative yields of crops and crop losses due to weed competition in Bangladesh, Pakistan Journal of Scientific and Industrial Research. 41: 318-324.

  28. Kour, R., Sharma, B.C., Kumar, A. and Kour, P. (2013). Nutrient uptake by chickpea + mustard intercropping system as influenced by weed management. Indian Journal of  Weed Science. 45(3): 183-188.

  29. Kumar, N., Hazra, K.K., Nath, C.P. and Sharma, A.R. (2016). Efficient weed management in pulses for higher productivity and profitability. Indian Journal of Agronomy. 61: 93-105.

  30. Kumar, S.A., Srinivasan, G., Subramanian, E. and Rajesh, P. (2020). Intercrops and weed management effect on productivity and competition indices of cotton. Indian Journal of Weed Science. 52(2): 153-159.

  31. Kurchania, S.P., Rathi, G.S., Bhalla, C.S. and Mathew, R. (2001). Bio-efficacy of post-emergence herbicides for weed controlin soybean [Glycine max (L.) Merr.]. Indian Journal of Weed Science. 33(1): 34-37.

  32. Lamichhane, J.R., Devos, Y., Beckie, H.J., Owen, M.D., Tillie, P., Messéan, A. and Kudsk, P. (2017). Integrated weed management systems with herbicide-tolerant crops in the European Union: Lessons learnt from home and abroad. Critical Reviews in Biotechnology. 37(4): 459-475.

  33. Liebman, M. and Dyck, E. (1993). Crop rotation and intercropping strategies for weed management. Ecological Applications. 3(1): 92-122.

  34. Mahmoodzadeh, H. and Mahmoodzadeh, M. (2013). Allelopathic potential of soybean (Glycine max L.) on the germination and root growth of weed species. Life Science Journal 10: 63-69.

  35. Marangoni, R.E., Jakelaitis, A., Tavares, C.J., Rezende, B.P.M., Mellofila,O.L. and Cunha, P.C.R. (2013). Effect of weed interference on soybean cultivars at two sowing dates. Planta Daninha 31 (3): 511-519.

  36. Mercado, B.L. (1979). Introduction to weed science, pp.309. Mishra, A. (2014). Effect of winter maize-based intercropping systems on maize yield. associated weeds and economy. Comunicata Scientae. 5(2): 110-117.

  37. Mishra, K. (2020). Effect of weed management practices on weed control, yield and economics in Rabi groundnut in Ganjam district of Odisha. Journal of Pharmacognosy and Phytochemistry 9(3): 341-344.

  38. Mruthul, T., Halepyati, A.S. and Chittapur, B.M. (2015). Chemical weed management in sesame (Sesamum indicum L.). Karnataka Journal of Agricultural Sciences. 28(2): 151-154.

  39. Nainwal, R.C, Saxena, S.C. and Singh, V.P. (2010). Effect of post- emergence herbicides on weed infestation and productivity of soybean. Indian Journal of Weed Science. 42(1): 17-20.

  40. Naseem, M., Aslam, M., Ansar, M. and Azhar, M. (2009). Allelopathic effects of sunflower water extract on weed control and wheat productivity.  Pakistan Journal of Weed Science Research 15: 107-116.

  41. Nazarko, O.M., Van Acker, R.C. and Entz, M.H. (2005). Strategies and tactics for herbicide use reduction in field crops in Canada: A review. Canadian Journal of Plant Science. 85(2): 457-479.

  42. Nirmala, B., Roshan, C., Choudhary, R.S. and Rajesh, C. (2018). Effect of broad-spectrum herbicides on weed dynamic, yield and economics of soybean production. International Journal of Current Microbiology and Applied Science. 7(8): 157-161.

  43. Ozturk, F. (2019). Effects of tillage systems on second crop sesame (Sesamum indicum L.) yield and weed density. International  Journal of Agriculture Environment and Food Sciences. 3(1): 29-33.

  44. Patel, S., Dhonde, M.B. and Kamble, A.B. (2018). Effect of integrated weed management on growth and yield of soyabean. International Journal of Agricultural Sciences. 10(10): 6058-6062.

  45. Phatak, S.C., Sumner, D.R., Wells, H.D., Bell, D.K. and Glaze, N.C. (1983). Biological control of yellow nutsedge with the indigenous rust fungus Puccinia canaliculata. Science. 219: 1446-1447. 

  46. Pooniya, T.C., Karwasara, P.K., Mathukia, R.K. and Sharma, A. (2016). Productivity and economics of rainy season groundnut as influenced by weed management practices. Indian Journal of Weed Science. 48(4): 400-403.

  47. Priya, T.B., Subramanyam, D. and Sumathi, V. (2015). Weed dynamics and yield of groundnut as influenced by varieties and plant population. Indian Journal of Weed Science. 47(1): 75-77.

  48. Punia, S.S., Yadav, D., Brar, A.P., Yadav, R. and Malik, Y.P. (2010). Distribution of weed flora of Indian mustard in Haryana. Indian Journal of Weed Science. 42: 70-72.

  49. Rahman, M.M., Maula, M.G., Begum, S. and Hossain, M.A. (1994). Maximization of Yield of Sesame through Management Practices. Central Annual Research BARI, Joydebpur, Gazipur. pp: 36-53.

  50. Rana, D.S. (2006). Effect of planting patterns and weed management on weed suppression, productivity and economics of African mustard (Brassica carinata) and Indian mustard (Brassica juncea) intercropping. Indian Journal of Agricultural Science. 76(2): 98-102.

  51. Rana, S.S. and Rana, M.C. (2016). Principles and practices of weed management. Department of Agronomy, College of Agriculture, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur. Pp: 138.

  52. Rao, M.R. and Shetty, S.V.R. (1976). Some biological aspects of intercropping systems on crop weed balance. Indian of Weed Science. 8: 32-43.

  53. Sanbagavalli, S., Chinnusamy. C., Thiruvarassan, S. and Marimuthu, S. (2016). Evaluation of efficient weed management practices on growth and yield of ground nut. International Journal of Agricultural Science. 59(8): 3310-3313. 

  54. Sarin, S. (2020). Weed management in summer groundnut (Arachis hypogaea L.).  M.Sc. (Ag) thesis, Kerala Agricultural University, Thrissur. pp: 104.

  55. Sarkar, M.A., Salim, M., Islam, N. and Rahman, M.M. (2007). Effect of sowing date and time of harvesting on the yield and yield contributing characters of sesame (Sesamum indicum L.) seed. International Journal of Sustainable Crop Production. 2(6): 31-35.

  56. Shekhawat, K., Rathore, S.S., Dass, A., Das, T.K., Mahajan, G. and Chauhan, B.S. (2017). Weed menace and management strategies for enhancing oilseed brassicas production in the Indian sub-continent: A review. Crop protection. 96: 245-257.

  57. Singh D., Dagar J.C. and Gangwar, B. (1992). Infestation by weeds and their management in oilseed crops -A review. Agricultural Reviews. 13(3): 163-175.

  58. Singh M, Singh P and Nepalia. (2005). Integrated weed management studies in maize based intercropping system. Indian Journal of Weed Science 37(3 and 4): 205-208.

  59. Singh, R. (2006). Use of soil solarization in weed management on soybean under Indian conditions. Tropical Science. 46(2): 70-73.

  60. Singh, R.K, Singh, R.P. and Mukherjee, D. (2009). Effect of fertilizer placement and weed management practice on weed dynamics and yield of rainfed mustard (Brassica juncea L.). Environment and Ecology. 27(4B): 1932-1938.

  61. Singh, R.P. and Singh, R.K. (2006). Ecological Approaches in Weed Management. In: Proceedings of Golden Jubilee National Symposium on Conservation Agriculture and Environment. 26-28, Oct. 2006, Indian Society of Agronomy, Division of Agronomy, IARI, New Delhi and Banaras Hindu University (BHU), BHU, Varanasi, Uttar Pradesh, pp: 301-304.

  62. Sirwan, B., Hassan, A., Mohammad, R. J., Hamid, R. M. and Mehdi, M. M. (2010). Management of Phelipanche aegyptiaca Pomel. using trap crops in rotation with tomato (Solanum lycopersicon L.). Australian Journal of Crop Science. 4(6): 437-442.

  63. Sankar, K.S. and Subramanyam, D. (2011). Weed flora and yield of Sunflower (Helianthus annuus L.) as influenced by pre- and post-emergence application of herbicide. Indian Journal of Weed Science. 3(1): 105-109.

  64. Soumya, T.M., Nanjappa, H.V. and Ramachandrappa, B.K. (2004). Effect of soil solarization on weed count, weed dry weight and pod yield of groundnut. Karnataka Journal of Agricultural Science. 17(3): 548-550.

  65. Sreepriya, S. and Girija, T. (2018). Seed priming for improving the weed competitiveness in sesame. Journal of Crop and Weed. 14(2): 40-45.

  66. Subrahmaniyan, K., Kalaiselvan, P. and Arulmozhi, N. (2002). Weed control in ground nut (Arachis hypogaea L.) with polyethylene film mulching. International Journal of Pest Management 48(3): 261-264. 

  67. Sushilkumar and Mishra, J. (Eds). (2018). Fifty Years of Weed Research in India (11th Ed.). Indian Society of  Weed Science, Jabalpur. Pp: 349.

  68. Sushilkumar (2008). Biological control of Parthenium in India: Status and prospects. Indian Journal of Weed Science. 41(1): 1-18.

  69. Tarwariya. M.K. and Rajput. R.L. (2019). Effect of weed and tillage management practices on growth and yield of pearl millet (Pennisetum glaucum) - mustard (Brassica juncea) cropping System. International Journal of Pure and Applied Biosciences. 7(3): 606-612.

  70. Teasdale, J.R. and Mohler, C.L. (1993). Light transmittance, soil temperature and soil moisture under residue of hairy vetch and rye. Agronomy Journal. 85(3): 673-680.

  71. Teja, K.C. and Duary, B. (2018). Weed management and rapeseed mustard productivity in conservation agriculture based rice-yellow mustard-green gram cropping system in lateritic belt of West Bengal. Indian Journal of Weed Science. 50(4): 340-344.

  72. Vafaei, S., Razmjoo, J. and Karimmojeni, H. (2013). Weed control in sesame (Sesamum indicum L.) using integrated soil applied herbicides and seed hydro-priming pre-treatment. Journal of Agrobiology. 30(1):1-4.

  73. Varaprasad, P.V. and Shanti, M. (1993). Increase in oilseed productivity through integrated weed management systems in Andhra Pradesh. In Proceedings of National Seminar on Oilseeds Research and Development in India: Status and Strategies. Pp: 221-222.

  74. Venkatakrishnan, A.S. (1997). Weed management in summer sesame (Sesamum inducum L.).  Ph.D thesis, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu. pp: 169.

  75. Vidyashree, B.S., Arthanari, P.M. and Somasundaram, E. (2019). Effect of bio-mulches on flora on irrigated sunflower. Journal of Pharmacognosy and Phytochemistry. 8 (3): 441-443.

  76. Wanjari, R.H., Yaduraju, N.T. and Ahuja, K.N. (2001). Critical period of crop-weed competition in rainy-season sunflower (Helianthus annuus). Indian Journal of Agronomy. 46(2): 309-313.

  77. Watson, A. K. (1991). The Classical Approach With Plant Pathogens In: Microbial Control of Weeds. [Tebeet, D.O. (ed.)],  Chapman and Hall, New York. pp: 3-33.

  78. Yaduraju, N.T. (2006). Herbicide Resistance Crop in Weed Management. In: The extended Summaries, Golden Jubilee National Symposium on Conservation Agriculture and Environment. Octo. 26-28, Banaras Hindu University, Banaras. pp: 297-298.

Editorial Board

View all (0)