African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6378

Full Length Research Paper

Economic assessment of biological weed control using cover crop mixtures in maize production

Chukudi Goddey Michael
  • Chukudi Goddey Michael
  • Department of Agronomy, Taraba State University, Jalingo, Taraba State, Nigeria.
  • Google Scholar


  •  Received: 13 August 2018
  •  Accepted: 11 December 2019
  •  Published: 31 January 2020

 ABSTRACT

The economics of using mixtures of  a vegetable cowpea, Vigna unguiculata subsp. sesquipedalis L., known locally as ‘Akidi’ (A) in Eastern Nigeria, melon (M) and sweet potato (S) Ipomea batatas  for weed management in maize were evaluated  between 2007 and  2009 in Taraba State, College of Agriculture Teaching and Research Farm, Jalingo, Treatments include 20,000(1), 30,000(2) and 40,000(3) stands/ha of AM (AM1, AM2, AM3), AS (AS1, AS2, AS3), MS (MS1, MS2, MS3) and AMS (AMS1, AMS2, AMS3). Weeded (3+6 WAP) (C1) and unweeded (C2) checks served as control replicated three times in a randomized complete block design. Partial budget analysis was used to obtain the level of profitability. The cost of production in all the mixtures having sweet potato was slightly higher (₦61,740 .00-₦67,340.00) than the AM treated plots (₦51,460.00-₦52,880.00) in the three year production. The gross benefit of ₦205,490.00, ₦199,920.00, ₦164,940.00 and ₦130,270.00 was realized respectively from MS, AS, AMS and AM treated plots compared with ₦154,980 in the hand weeded plots. Over the three  years, the net benefit was in the order MS> AS> AMS > C1>AM , which resulted in 24.33, 23.22, 18.1, 17.57 and 13.67 times net profit when compared to the unweeded, respectively.

Key words: Profitability,  biological weed management, maize,  cover crop mixtures.

 


 INTRODUCTION

The decision to use non-chemical weed management options including cover crops, either as sole or mixed by farmers is a business decision (SARE, 2019). The economics of weed control in maize has been reported for maize in many parts of Nigeria and elsewhere (Baba et al., 2015; Omovbude and Udensi, 2012; Maxwel et al., 2019). These studies emphazised use of non-food cover crops planted singly or with herbicdes expecially in forest-savannah transition zones. If any weed control option is  not  cutting  cost  or  raising  value,  it  is  not  lkely  to  be adopted (SARE, 2019). The food value of selected creepers, akidi, melon and sweet potato make them more adoptable to farmers across Nigeria and their weed suppression potentials have been established (Frick and Johnson, 2018; Kaur, 2017; Ahom et al., 2017). SARE (2019) observed adopting cover cropping, which is a conservative practice with high resilience may take several year period to have significant economic value if non- food cover crops are used. Therefore, the decision to   adopt   cover   crop   mixtures  requires  an  economic outlook for sustainable usage. The profitability of weed management technologies for maize production (Saleh and Oyinbo, 2017) is indespensible to compliment the usual research focus on agronomic and productivity aspects of maize-cover crops intercrop system. The economic aspects of using cover crop mixtures has not been adequately addressed in the study area, thereby limiting research-based decisions of the farmers. Thus, this study compares the profitability of several mixed cover crops aimed primarily for weed suppression in maize production.

The impact of cover crops mixture in a production system is to reduce soil erosion and suppress weed. However, Maxwel et al.  (2019) reported that in the US, planting and establishing a decent stand before winter are major challenges.  This calls for a holistic perspective in appraising the benefit of such farms. The need for farmers to make several management changes that compliment the productivity of the target or primary crop of interest like maize and maximize the overall economic efficiency calls for the assessment of benefits derivable from the chosen weed control option. This is the essence of this study.   

The potentials of vegetable cowpea (Vigna unguiculata subsp. sesquipedalis L), melon (Citrullus lanatus) and sweet potato (Ipomea batatas) to suppress weed in maize have been reported (Okpara, 2000; Ahom et al., 2017; Michael, 2015).  Weed density  reduction in maize field by sole planted akidi (A), melon (M) and  sweetpotato (S) was 72-80, 55-63% and 60-71% in Northern Guinea Savanna of Nigeria, while the mixed cover AM, AS, MS, AMS reduced weed density by 61-66%, 67-71%, 56-65% and 59-66% more than the un-weeded (Michael, 2015). Herbicide free weed management practices could be cultural, mechanical and biological (Kaur, 2017) useful at initial emergence stage of weed or when weed population is below the economic threshold level. Some cover crop species also release chemicals from roots or decaying residue, which can inhibit weed seed germination (DeAnn and Anita, 2016).

The possibility of using cover crop mixtures for weed management has been suggested and used (Michael, 2015; Michael and Tijani-Eniola, 2013; Scott and Burt, 1985; Anuebunwa, 1991). Bunch (1995) suggested the potentials latent in new as yet untried species, like Akidi (Vigna unguiculata subsp. sesquipedalis L), including trees and non legumes, and the value to be derived from using combination of green manures and cover crops rather than individual species be harnessed (Frick and Johnson, 2018). Abdin et al. (2000) in their evaluation of cover crops for weed control in maize in Canada used a mixture of red clover and ryegrass, and white clover and ryegrass at 1:1 proportion. In their studies, the combination of cover crops and cultivation controlled 77-80% of weed. The red clover/ryegrass and white clover/ryegrass gave 21.3 and 32.4 gm-2 of weed respectively,   which   significantly  reduced  weed  weight when compared with weedy control (89.8 gm-2).

In California, a mixture of melon and cowpea together with herbicide grow vigorously and out competed weed (Sullivan, 2003). Abdin et al. (2000) working on 12 cover crops in Canada observed that the mixtures ryegass, and clover at 1:1 plant population gave good ground cover, reduce weed weight, and have yield comparable to hand and chemically weeded treatment. The rationale for using cover crop mixture in weed suppression includes:

(i) Enhancement of biodiversity with consequent biological, physical, chemical input on the soil and environment.

(ii) Reduction in pest/disease attack

(iii) Reducing the yield depressive effect of some effective non leguminous cover crops like sweet potato and pumpkin in crops like cocoyam, plantain and maize. (Akinyemi, 1989; Nwagwu et al., 2000)

(iv) Possibility of regulating rate and duration of decomposition and subsequent nutrient supply.

(v) The nature of traditional farming culture, where farmers grow a number of such cover crops without observing their effects of weed control.

Gianessi and  Reigner (2007) reported that though herbicides are used to control weed populations on 87 million ha of cropland in the United States; the major reason that organic crop hectarage totals only 565,600 ha is the difficulty of weed control without herbicides. Kyle et al. (2015) observed that enhanced agricultural productivity in developing country is hindered by the failure of farmers to adopt new technology and improved agricultural practices. Farmers cited financial constraints and need for specialized skills were some reasons for not adopting chemical weed control (Adedzwa and Ortese, 2004; Eni et al., 2013).

Organic crop growers cite weed control as their greatest difficulty in crop production because they are not permitted to use chemical herbicides. They substitute hand weeding and cultivation for herbicides at a greatly increased cost and with reduced effectiveness. The possibility of reducing herbicide use by roughly 50%  by planting cover crops which enhances moisture retention and weed control (Winslow, 2018). The cover crop protected the soil from erosion and provided about a 50% reduction in weed biomass in the fall compared to bare fallow (Frick and Johnson, 2018).

Seeding a blend of cover crop species is often more effective than seeding a mono cropping system. Some species grow quickly and die during the winter, while others take longer to establish then living into the spring. A mix of species that collectively provides continuous living vegetation is often recommended – though not always critical – for increased weed suppression (Winslow, 2018).

Weed scientists must find cost-effective, ecologically based  methods to manage undesirable plants. Economic analyses are needed for management, policy making, and setting research priorities. The fundamental economic principle for weed management is to act only if the benefits exceed the costs. Therefore, the economics of using mixed cover of a vegetable cowpea "akidi" and melon (AM), akidi and sweet potato (AS), Melon and sweet potato (MS), akidi, melon and sweet potato (AMS)  at three planting densities 20,000(1), 30,000(2) and 40,000(3) stands/ha for weed management in maize production were evaluated to ascertain their level of profitability.

 

 


 MATERIALS AND METHODS

Experimental site

Field trials were conducted at the Teaching farm of Taraba State College of Agriculture (08° 50' N, 11° 50' E) in the Northern Guinea Savannah ecological zone. Jalingo has a wet and dry tropical climate with rainy season of about 150 days and an average annual rainfall of about 700- 1000 mm. Mean annual temperature of Jalingo is about 28°C with maximum temperatures ranges between  30 and 39.4°C. The minimum temperatures range between 15to 23°C. The rainy season is between May and October while the dry season is from November to April.

Land preparation

The land used for the experiment was cleared manually using cutlass to reduce the few shrubs scattered on the field. Ploughing was done once using tractor.

Experimental design and layout

The experiment was designed to study the influence of three planting densities of mixtures of akidi/melon (AM), akidi/sweet potato (AS), melon/sweet potato (MS) or akidi/melon/sweet potato (AMS)  on   weed   suppression   and   performance  of  maize.  The experimental design was a randomized complete block with three replications. There were 14 mixed cover treatments as in Table 1. Each plot measured 4m × 4m with 1m space between plots and 2 m border separating blocks. The total land area was (69 m × 16 m) 1104 m2.

 

 

Planting and trial management

Planting of maize was done on 16th June, 2007; 30th June, 2008 and 13th June, 2009. Cover crops were planted within 24 h. Maize was sown three seeds per hole at 25 cm × 100 cm spacing, to give a population of 40,000 plants/ha in all the plots and the seedlings were latter thinned to one plant per stand. The plot size was 4 m × 4 m. There were 64 stands of maize per plot (4 rows of 16 stands/ row).

Akidi and melon seeds were sown 4/hole, while 2-3 sweet potato vines/hole, spaced 50 cm × 100 cm and latter thinned to give the required population densities of 20,000 (One stand/hill); 30,000 (One and two stands in altenate hills) or 40,000 (two stands/hill) plants/ha. All cover crop treated plots were weeded once at 3 weeks after planting to enhance establishment and spread.

In each of the cover crop mixtures, cover crops were planted at 1:1 ratio in two way mixture and 1:1:1 in three way mixture. The cover crops were planted in alternate rows/hills. Field management was similar for all the treatments till harvesting.

Data collection and  analysis

Maize grain yield was estimated  from 10 tagged plants sampled in the middle of each plot; cover crop yield was from 3 and 6 stands of each cover crop per plot in 2 way and 3 way mixtures respectively. Crop Enterprise Budget Technique (Wesley et al., 1993) was used for the economic analysis of maize production under each of the mixed cover crops weed management treatments yearly. The cost of inputs, various farming operations and crop prices were the average prices prevailing in the study area during the experimental periods. The budget preparations included calculation of th e:

(i) Average yield of maize (t ha-1)

(ii) Gross benefit (Naira/ha) based on prices of maize and or cover crop Gross benefit (N/ha) = (yield of maize x price) + (yield of cover crop x price)

(iii) Total variable cost (N/ha) for each treatment comprising cost of land preparation, planting materials and labour (for planting, weeding, harvesting and processing).

(iv) Net benefit (NB) (N/ha) under each treatment

Net benefit (N/ha) = Gross benefit – Total variable cost.

(v) The marginal rate of return (%) that compared the extra (marginal) costs with the extra (marginal) net benefit

 

 


 RESULTS

The cost of production in all the mixtures having sweet potato were slightly higher (₦61,740 .00-₦67,340.00) than the AM treated plots (₦51,460.00-₦52,880.00) on the three year average (Table 2).The gross benefit fluctuated over time in most treatments. It generally declined between 2007 and 2008, and later appreciated in 2009. On the average ₦205,490.00, ₦199,920.00, ₦164,940.00 and ₦130,270.00 were realized respectively from MS, AS, AMS and AM treated plots compared with ₦154,980 from the hand weeded plots.

 

 

The net benefit followed the trend of the gross revenue. Averaged over the three  years, net benefit increased with planting populations in all the covercrop mixture groups except in MS where MS2 recorded the highest net profit of ₦163,680.00. The order MS> AS> AMS > C1>AM was established, which resulted in 24.33, 23.22, 18.1, 17.57 and 13.67 times net profit when compared to unweeded respectively. The marginal rates of return of AS2 (2.02), AS3 (2.26), MS2 (2.46),and AMS3 (1.94) were higher than that of C1 (1.82), while the rest were less. The MRR increased with planting density in all group except in MS (Table 3).

 

 

The weed control efficiency and relative profitability of using various cover crop mixtures for weed management in maize is shown in Table 4. Though the weed control efficiency was highest of hand weeded (0.72), it was comparable with AS (0.70), AMS, AM (0.63 each), followed by MS (0.60). Profitability relative to the  recommended hand weeding shows that the net benefit ratio of AS (1.02-1.59) and MS (1.13-1.63) treated plots was higher than the hand weeded while those of AM plots and AMS treated plots except at 40,000 stands/ha (AMS3) were less. Relative to the unweeded, all the cover crop mixtures were more profitable, 13.06-28.67 times more profitable than the unweeded plots. Similar trend was observed for net benefit gain 

 

 


 DISCUSSION

The economics of maize production under various cover crop mixture reflected the productivity of the component crops and not just the grain yield of maize (Michael, 2015). Though the main target crop was maize, the overall cost of production, gross return and net profits were higher in plots with sweet potato because appreciable  tuber   yields    were   harvested,   while   the absence of sweet potato in AM plot caused them to have the lowest economic value.  The net profit of sole cover akidi, melon, or sweet potato reflected the impact of extra cash benefit derivable from the sale of cover crop in association with maize as well as the planting density. This observed efficacy of sole planted cover crops comparable with hand weeded plot is confirmed in this study (Michael and Tijani-Eniola, 2014). Among the cover crop mixture treated plots with melon had the least cost of production, gross revenue and net benefit when compared with mixtures having akidi and/or sweet potato because melon could not reach maturity and no harvestable yields were obtained throughout the experimental periods, simillar to the observation in melon/plantain system (Akinyemi and Tijani–Eniola 1997). Omovbude and Udensi (2012) reported that use of melon plus hoe weeding recorded the lowest financial return when compared with mulched or herbicides treated plots in a forest-savannah transition zone of Edo state, Nigeria. Anuebunwa (1991) reported that egusi melon (Colocythis citrillus. L) at 40,000 stands/ha in association with yam in Umudike grew vegetatively with no pod formation. This was the experience in this trial. Mixtures having sweet potato had higher economic value because of the yield obtained from the tuber. Before increasing seeding rates to enhance weed suppression, the economic   benefit   of   higher  seeding  rates  should  be considered because increased seed fee costs may exceed the benefits in weed suppression (Nice et al., 2001; Renner and Mickelson, 1997). Similarly, the substantial tuber yields of sweet potato obtained in the S plots  resulted in higher gross and net benefit in which the yields from other plots having less stands of sweet potato could not offset. The high rainfall which favoured sweet potato growth and production was also to the disadvantage of akidi and melon, causing them to produce little or no harvestable yields.

 


 CONCLUSION

The net benefit was in the order MS (Melon/Sweetpotato) > AS (Akidi/Sweetpotato) > AMS (Akidi/Melon/ Sweetpotato) > C1 (Hand weeding) > AM (Akidi/Melon), which resulted in 24.33, 23.22, 18.1, 17.57 and 13.67 times net profit when compared to the unweeded, respectively. Organic weed management using melon/ sweet potato, akidi/sweet potato or akidi/melon/sweet potato mixtures is more profitable than the recommended hand weeding.

 


 CONFLICT OF INTERESTS

The authors have not declared any conflict of interests.

 



 REFERENCES

Abdin OM, Culman BE, Cloutier D, Faris MA, Zhou XM, Smith DL (2000). Cover crops and interrow tillage for weed control in short season maize (Zea mays). European Journal of Agronomy 12:93-102.
Crossref

 

Adedzwa DK, Ortese JT (2004). Participatory approach to sustainable weed management in traditional farming systems. Nigerian Journal of Weed Science 17:101-118.

 

Ahom R, Ibrahim AJ, Magani EI, Shave P (2017). Productivity of maize-velvet bean intercrop grown in Striga hermonthica infested soils as determined by competitive indices. Nigerian Journal of Weed Science 30:1-9.

 

Akinyemi SOS (1989). Weed Suppression by Sweet Potato (Ipomea batatas L) in a Maize/sweet Intercropping system. An M.Sc. Thesis of the Department of Agronomy, University of Ibadan.

 

Akinyemi SOS, Tijani-Eniola H (1997). Effect of Melon Population Density intercropped with plantain on weed control and intercrop productivity. Nigerian Journal of Weed Science 10:27-34.

 

Anuebunwa FO (1991). Weed control in yam/maize/cassava Inercrop for resource limited Farmers Nigerian Journal of Weed Science 4:63-69.

 

Baba KM, Illo AI, Hassan SU, Tomo IK, Lilian P (2015). Economic Analysis of Herbicides by Sole Maize Farmers in Bosso Local Government Area of Niger State, Nigeria. Journal of Research in Agriculture and Animal Science 3(8):07-14.

 

Bunch R (1995). The use of green manure by village farmers. What we have learned to date. Technical report, (2nd Ed), CIDICCO. 3

 

DeAnn P, Anita D (2016). K-State Research and Extension News, Kansas State University.

 

Eni EI, Phillip BB, Lagoke STO, Adigun JA (2013). Economics of performance of maize-groundnut intercrop in response to weed control methods and cropping pattern. Nigerian Journal of Weed Science 26:13-21.

 

Frick B, Johnson E (2018). Research Report 2002, Canada-Saskatchewan Agri-Food Innovation.

 

Gianessi LP, Reigner NP (2007). The Value of Herbicides in U.S. Crop Production. Weed Technology 21(2):559-566.
Crossref

 

Kaur N (2017). Non-chemical weed management practices. Journal of Agroecology and Natural Resource Management 4(5):391-394.

 

Kyle E, Alain J, Elisabeth S, Manzoor HD (2015). Technological innovations, downside risk and the modernization of agriculture. 

 

Maxwel CO, Liberty B, Rodrigo W (2019). Assessment of Cover Crop Management Strategies in Nebraska, US. Agriculture: 9(124). 
Crossref

 

Michael GC (2015) Evaluation of cover crop mixtures densities for organic weed management in maize production at Jalingo Taraba State, Nigeria. Nigeria Journal of Weed Science 28:33-46.

 

Michael GC, Tijani-Eniola H (2014). Evaluation of sole-planted Cover Crops and Hoe Weeding for Weed Management in Maize Production at Jalingo, Nigeria. International Journal of Agriculture and Food Science 5(5):441-450.

 

Michael GC, Tijani-Eniola H (2013). Effect of planting population of vegetable cowpea, melon and sweet potato on weed suppression in maize at Jalingo. Nigeria Journal of Weed Science 26:77-95.

 

Nice GR, Buehring NW, Shaw DR (2001). Sicklepod (Senna obtusifolia) response to shading, soybean (Glycine max) row spacing, and population in three management systems. Weed Technology 15:155-162.
Crossref

 

Nwagwu FA, Tijani-Eniola H, Chia MH (2000). Influence of tillage and cover crops on weed control in cocoyam field at Ibadan, SouthWestern, Nigerian Journal of Weed Science 13:39-44.

 

Okpara DA (2000). Growth and yield of maize and vegetable cowpea as influenced by intercropping and nitrogen fertilizer in the lowland humid tropics. Journal of Sustainable Agricultural Environment 2(2):188-194.

 

Omovbude S, Udensi EU (2012). Profitability of selected weed control methods in maize (Zea mays L.) in Nigeria. Journal of Animal and Plant Sciences 15(1):2109-2117.

 

Renner KA, Mickelson JA (1997). Weed control using reduced rates of post-emergence herbicides in narrow and wide row soybean. Journal of Production Agriculture 10:431-437.
Crossref

 

Saleh MK, Oyinbo O (2017). Rice Production under Different Weed Management Technologies Adopted by Rice Farmers in Katsina State, Nigeria. Journal of Agricultural Extension 21:1.
Crossref

 

Scott TW, Burt RF (1985). Cover crops and intercrops for New York, Cornell Cooperative Extension Fact Sheet P 452.

 

Sullivan P (2003). Principle of sustainable weed management for croplands: Available at: 15pp.

 

Sustainable Agriculture and Research Education (SARE) (2019). Cover Crop Economics Opportunities to Improve Your Bottom Line in Row Crops: 

 

Wesley RA, Smith LA, Supurlock SR (1993). Economic analysis of irrigation and deep tillage in soybean production systems on clay soil. Soil and Tillage Research 28:63-78.
Crossref

 

Winslow Z (2018). Discover the Cover: Managing Cover Crops to Suppress Weeds and Save Money on Herbicides. U.S. Department of Agriculture.

 




          */?>