Indian Journal of Agricultural Research

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Indian Journal of Agricultural Research, volume 56 issue 5 (october 2022) : 539-544

Evaluation of Performance of Improved Cowpea Varieties in Cowpea-maize Strip Intercropping in Bela-Bela, Limpopo Province, South Africa

J.N.A. Asiwe1,*
1Department of Plant Production, Soil Science and Agricultural Engineering, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Cite article:- Asiwe J.N.A. (2022). Evaluation of Performance of Improved Cowpea Varieties in Cowpea-maize Strip Intercropping in Bela-Bela, Limpopo Province, South Africa . Indian Journal of Agricultural Research. 56(5): 539-544. doi: 10.18805/IJARe.AF-721.
Background: Mixed intercropping is the commonly practiced cropping system but it is unproductive with a low return on investment. This study was conducted at the Bela-Bela region of Limpopo province, South Africa to assess the performance of improved cowpea varieties in a cowpea-maize strip intercropping in comparison with farmers’ traditional cropping practice (mixed intercropping). Strip intercropping is a novel productive cropping system and its productivity has not been tested in study region. There is a dire need to test the productivity of this important novel cropping system practice in the region.

Methods: Five cowpea varieties (TVu 13464, IT86D-1010, Glenda, IT82E-16 and IT87K-499-35) and maize were planted under strip intercropping, monocropping and mixed intercropping as control treatments. Data were collected on growth and yield parameters and were analyzed using Genstat software 20.1.

Result: Strip intercropping significantly improved the yield attributes and land equivalent ratio (LER) of the varieties as compared to the mixed intercropping. Strip intercropping significantly enhanced the grain yield and land equivalent ratio (LER) of IT82E-16, IT86D-1010, TVu 13464 and IT87K-499-35 as compared to Glenda. Adoption of strip intercropping and the high-yielding varieties will enhance crop diversity, food security, and nutrition in Limpopo Province.
Cowpea (Vigna unguiculata L.) is an important grain legume rich in protein, minerals and vitamins hence it justifies its use as  food security and nutrition crop in many parts of the world (Asiwe et al., 2020 a and b; Nkhoma et al., 2020; Gerrano et al., 2019; Gondwe et al., 2019; Ngalamu et al., 2019; Muranaka et al., 2016). Cowpea is commonly used to reduce crop failure in many maize intercropping systems because of its versatility in drought tolerance and ability to fix nitrogen (Asiwe and Maimela 2020; Kermah et al., 2017; Belane et al., 2011).
       
Intercropping is commonly practiced by small-scale farmers to intensify their cropping system with diverse crops under the limited available land and to reduce risk associated with crop failure due to marginal soil fertility, insect pests, diseases and drought (Anjaly and Isaac, 2019; Kermah et al., 2017). In addition, in most black communities in South Africa where arable land for crop production is limited, smallholder farmers plant different crops within the limited available land or garden to produce for their needs (Asiwe et al., 2020). Mixed intercropping is commonly practiced in Limpopo Province where crops are broadcasted easily on prepared land without definite row arrangement and optimum plant density (Asiwe and Maimela, 2020Mucheru-Muna et al., 2010). The practice is characterized by low plant density, low productivity and often leads to poor return on investment (Asiwe and Maimela, 2021Mahapatra, 2011). Therefore, farmers in Limpopo Province particularly in Bela-Bela region will increase their productivity and profit margin if an innovative intercropping system is introduced in their current cropping system. Strip intercropping is a promising intercropping system where crops are planted with a definite row arrangement and have the potential of reducing inter-species competition, optimizing plant population and increasing crop yield and cash net return (Asiwe et al., 2021; Asiwe and Madimabe 2020; Singh and Ajeigbe, 2007). The hypothesis of this study was to investigate whether the performance of the novel strip intercropping system would be better than or same as the traditional mixed intercropping. Therefore, the main objective of this study was to evaluate the comparative performance and the productivity of five improved cowpea varieties under a cowpea-maize strip intercropping system and mixed intercropping system in Bela-Bela district, Limpopo Province.
The study was conducted at Bela-Bela (24°25¢S, 28°21¢E) area during 2016-17 (year 1) and 2017-18 (year 2). The area is characterized by erratic and low rainfall between 450-650 mm per annum which falls predominantly during summer. Crop production in this region is grossly limited by amount of received rainfall, duration and distribution pattern. The experimental materials consisted of five cowpea varieties (Glenda (check), IT87K-499-35, IT82E-16, IT86D-1010 and TVu-13464, a maize cultivar PAN 6479). The experiment was conducted in split-plot design with three replications. The main plot as cropping system (intercrop and monocrop). The mono and mixed cropping systems were included as standard control practices and the sub-plot factor was the varieties. Maize cultivar was planted by using the standard plant spacing of 0.9 m × 0.3 m with 4 m row length, giving a plant population of 52 and 40 plants per intercrop plot for maize and cowpea, respectively and each plot area was 5.6 m × 4.0 m. The intercrop plots consisted of four rows of cowpea sandwiched between two rows of maize. The monocrop plots consisted of six rows of cowpea and maize planted at an inter-row spacing of 0.75 m × 0.2 m and 0.9 m × 0.3 m, respectively. The net plot size for each intercrop was 4.8 m × 4.0 m, while that for monocrop (maize) was 4.8 m × 4.0 m and 3.0 m × 4.0 m for the cowpea monocrop. The experiment was planted on 9th January 2017 during year 1 cropping season; while during the year 2, it was planted on 18th December 2017. N:P:K fertilizers in the ratio of 3:2:1 were applied respectively at the rate of 50 kg ha-1 as basal application at the time of sowing immediately after planting. Roundup (isopropyl amine salt of glyphosate) and Dual (S-Metalachlor) were applied at the rates of 3 L ha-1 and 0.5 L ha-1, respectively, to control the weeds before crop emergence. Subsequent weed control was executed manually. Karate (Lambda-Cyhalothrin) and Aphox (Pirimicarb) were sprayed at the rate of 1 L ha-1 and 500 g ha-1, respectively to control insect pests (aphids and pod-sucking bugs) on cowpea from seedling stage until the full podding stage. The trial was conducted under rain-fed conditions and no irrigation was applied.
       
Variables measured on cowpea were number of days to 50% flowering and 90% maturity, plant height, pods plant-1 and grain yield as described by Asiwe and Maimela, 2020. The LER was calculated from the relative yield of cowpea and maize with their monocropping variables as described by (Asiwe and Maimela, 2020 and Dariush et al., 2006).
       
Data were collected manually during the two years and were subjected to analysis of variance procedure using the GenStat Version 20.1 to assess variation among factors and treatments. Means that showed significant differences were separated using Duncan’s new multiple range test (DMNRT) at P≤0.05 (Steel et al., 1997).
Flowering and maturity attributes
 
The results showed that varieties and cropping systems had significant (P≤0.05) effects on the number of days to 50% flowering and 90% maturity during year 2 (Table 1). During both years, cowpea varieties planted in strip intercropping and monocropping matured later than the mixed intercropping. Three varieties namely, TVu 13464, IT82E-16 and IT86D-1010 matured earlier than the rest varieties. The early maturity of the three varieties is an indication that they exhibited good adaptation for maturity in the region and can be viewed as climate-smart varieties for cultivation in the targeted district. This is a good trait for pest evasion as well as the ability to escape terminal drought (Abadassi, 2015). The findings also provide better opportunity for farmers to make selections based on their physiological maturity which is an important attribute for adaptation (Asiwe and Maimela, 2021). The early flowering and maturity observed during the first season was due to low and poorly distributed rainfall in addition to the constant higher temperatures during the reproductive phase (January-March) of the crop (Table 4). Inadequate rainfall or excess moisture have been reported to influence the flowering and maturity habits of legumes either causing them to flower/mature early or late (Asiwe et al., 2021; Asiwe and Madimabe, 2020; Agoyi et al., 2017).
 

Table 4: Monthly mean rainfall and temperature Bela-Bela.


 
Yield and yield attributes
 
Results show that plant height (growth attribute) and pod length showed significant differences during year 2 (Table 1). Plant height and pod length of the varieties were higher during year 2. Mixed intercropping exhibited shorter height than those obtained in strip intercropping and monocropping during year 1. However, among the varieties, TVu 13464 exhibited the shortest plant height and pod length than the rest varieties during both years.
 

Table 1: Effects of varieties and cropping systems on yield components of cowpea.


       
Varieties exhibited longer pods in the mixed intercropping plots during both years could be due to low plant population which provided wider spacing for the varieties to tap more resources (space, nutrient and light) as compared to monocropping and strip intercropping which had higher plant densities. The variation obtained among the cropping system indicates that the cropping system was able to discriminate the capability of the varieties to use the available resources for plant height and pod length (Asiwe and Maimela, 2020; Zeruhun 2016; Agyeman et al., 2014; Nwosu et al., 2013).
       
The results showed that varieties and cropping system had significant (P≤0.05) effects on pods plant-1 (Table 2). Grain yield was lowest among the varieties planted in the mixed intercropping during both years. Strip intercropping achieved the highest grain yield. During the second year, no significant difference (P≤0.05) was observed among the varieties for the number of pods plant-1 but it was observed in the case of cropping system in which mixed intercropping exhibited the highest number of pods plant-1 (Table 2).
 

Table 2: Effects of varieties and cropping systems on yield components of cowpea.   


       
Grain yield is an important variable to assess the performance and adaptation of varieties in any test environment. Varieties that are well adapted to the environment tend to produce higher grain. Higher grain yield that was observed among TVu 13464, IT82E-16, IT86D-1010 and IT87K-499-35 than the local check (Glenda). It indicates that these varieties are well adapted and are better in resource utilization (Agoyi et al., 2017; Zeruhun, 2016; Gerrano et al., 2015). Mean performance of the cropping systems indicates that strip intercropping out-performed the monocropping as shown in the performance of the varieties for grain yield which was as a result of better resource utilization and creation of micro-environment that favoured other growth and yield attributes (plant height, canopy width, pod length and number of pods plant-1). Previous results have shown that strip intercropping and monocropping which supported higher plant height and pod numbers resulted higher grain yield (Asiwe and Maimela, 2021Mango et al., 2018). However, the number of pods which was higher in mixed intercropping plots was due to wide plant spacing or less optimal plant population. 
       
Results on hundred seed weight showed that no significant (P≤0.05) interaction between the varieties and the cropping system (Table 2) was observed. However, significant (P≤0.05) difference was observed among the varieties during the second year. TVu 13464 exhibited the least seed weight (13.54 g). The variation among the varieties for 100-seed weight was due to the genetic make-up of the varieties, the difference in seed weight between the first and second year was due to weather variations (rainfall and temperature) which were more favourable during the second year. Seed weight is an important quality trait that determines seed size which greatly influences consumers’ preferences (Gondwe et al., 2019). In South Africa, large seed size is often preferred by some consumers because it cooks faster and attain better cooking quality and texture (Ajeigbe et al., 2008; Singh, 2001). On this basis, IT82E-16, IT86D-1010 and IT87K-499-35 will be prime varieties for consumers in the region as their seed sizes are larger than the local check (Glenda).
       
Results on LER only showed significant (P≤0.05) difference among the crop mixtures under the strip intercropping during the second year (Table 3). IT82E-16, IT86D-1010, TVu 13464 and IT87K-499-35 exceedingly performed better than Glenda in LER of both strip intercropping and mixed intercropping (Table 3).
 

Table 3: Land equivalent ratio of cowpea/maize crop mixtures.


       
LER is a function of grain yield, and it measures the productivity of any intercrop system. The excellent performance of strip intercropping over the mixed intercropping in all the crop mixtures is an indication that strip intercropping is more efficient in resource utilization. When the LER value is greater than 1, it implies that more productive and efficient land resource utilisation was achieved by strip intercropping as compared to mixed intercropping (Asiwe et al., 2021; Asiwe and Maimela 2020; Chapagain et al., 2018; Dahmardeh, 2013). In other words, the same area of land under strip intercropping will produce about two-fold grain yield or economic return from the same area of land under monocropping (Asiwe and Maimela, 2021). Furthermore, the superior performance of strip intercropping over mixed intercropping in LER could be associated with the summative effects and the overwhelming performance of strip intercropping in other yield/growth attributes such as plant height, pod length, number of pods and grain yield. The findings from previous workers (Asiwe and Maimela, 2021; Asiwe and Madimabe, 2020) showed that LER values were higher in cowpea-maize intercropping than mixed intercropping. In this study, maize mixture with IT82E-16, IT86D-1010, TVu 13464 and IT87K-499-35 remarkably performed better than maize mixture with Glenda thus indicating that the formers are superior over Glenda in adaptation to intercrop environment as well as better resource utilization. Adoption of these resource-use efficient and high yield varieties will enhance food security and nutrition in the region (Nkhoma et al., 2020Thanga et al., 2019; Sujatha and Babalad, 2018Chivenge et al., 2015; Shetty, 2015).
The performance of improved cowpea varieties was assessed under three cropping systems in this study and found that three varieties (IT82E-16, IT86D-1010 TVu 13464) were climate-smart with the inherent ability to mature early and evade possible drought or early frost damage. Furthermore, IT82E-16, IT86D-1010 TVu 13464 and IT87K-499-35 exceedingly performed better than Glenda variety in grain yield as well as LER due to better adaptation to intercrop environment and resource utilization. Therefore, these varieties are recommended for cultivation under strip intercropping system. Strip intercropping performed better in terms of grain yield and LER than the mixed intercropping. Performance of varieties and cropping systems were better during the second year when rainfall and temperature were adequate and optimum.  Adoption of this prominent cropping practice and resource-use efficient and high yielding varieties will not only reduce crop failure but also enhance their crop diversity, dietary intake, income generation of the communities in the region and attainment of food security and nutrition in Limpopo Province.
None.

  1. Abadassi, J. (2015). Cowpea [Vigna unguiculata (L.) Walp] agronomic traits needed in tropical zone. International Journal of Pure and Applied Biology. 3(4): 158-165.

  2. Agoyi, E.E., Odong, T.L., Tumuhairwe, J.B., Chigeza, G., Diers, B.W. and Tukamuhabwa, P. (2017). Genotype by environment effects on promiscuous nodulation in soybean [Glycine max (L.) Merrill]. Agriculture and Food Security.  6: 29.

  3. Agyeman, K., Berchie, J.N., Osei-Bonsu, I., Nartey, E.T. and Fordjour, J.K. (2014). Growth and yield performance of improved cowpea (Vigna unguiculata L.) varieties in Ghana. Agricultural Science.  2: 44-52.

  4. Ajeigbe, H.A., Ihedioha, D.and Chikoye, D. (2008). Variation in physical-chemical properties of the seed of selected improved varieties of cowpeas as it relates to industrial utilization of the crop. African Journal of Biotechnology. 7(20): 3642-3647.

  5. Anjaly, V. and Isaac, S.R. (2019). Productivity of grain cowpea in high phosphorus soils as influenced by nutrient interactions. Indian Journal of Agricultural Research. 53:17-24

  6. Asiwe, J.A.N., Oluwatayo, I.B. and Asiwe, D.N. (2020a). Enhancing food security, nutrition and production efficiency of high- yielding grain legumes in selected rural communities of Limpopo Province, South Africa: Research Report and Capacity Building. WRC Report 2020a; No. TT 829/1/20 ISBN 978-0-6392-0176-4. Pp. 191.

  7. Asiwe, J.A.N., Oluwatayo, I.B. and Asiwe, D.N. (2020b). Enhancing Food Security, Nutrition and Production Efficiency of high- yielding Grain Legumes in Selected Rural Communities of Limpopo Province, South Africa: Production Guide, Training of Frmers and Cowpea Processing and Capacity Building. WRC Report 2020b; No. TT 829/2/20 ISBN 978-0-6392- 0176-4. Pp. 62.

  8. Asiwe, J.A.N., Sekgobela, M.M. and Modiba, P.P. (2021). Heritability for morphological traits determine adaptability of elite cowpea genotypes in different environments. International Journal of Agriculture and Biology. 26(1): 105-114.

  9. Asiwe, J.N.A. and Madimabe, K.S. (2020). Performance and economic prospect of pigeonpea varieties in pigeonpea-maize strip intercropping in Limpopo Province. International Journal of Agriculture and Biology. 25: 20-26.

  10. Asiwe, J.N.A and Maimela, K.A. (2021). Assessment of productivity variables of cowpea (Vigna unguiculata) varieties in cowpea- maize (Zea mays) strip intercropping in Limpopo Province, South Africa. Research On Crops. 22(3): 516-525.

  11. Asiwe, J.N.A and Maimela, K.A. (2020). Yield and economic assessments of five cowpea varieties in cowpea-maize strip intercropping in Limpopo Province, South Africa: Productivity of cowpea under cowpea-maize strip intercropping. International Journal of Agriculture and Biology. 25: 27-32.

  12. Asiwe, J.N.A., Nkuna, M.K. and Motavalli, P.P. (2021). Productivity of phosphorus fertilization in cowpea-maize strip intercropping under rainfed Conditions. International Journal of Agriculture and Biology. 26(2): 270-276.

  13. Belane, A.K. and Dakora, F.D. (2012). Elevated concentrations of dietarily-important trace elements and macronutrients in edible leaves and grain of 27 cowpea [Vigna unguiculata (L.) Walp] genotypes: Implications for human nutrition and health. Food and Nutrition Science. 3: 377-386.

  14. Chapagain, P.S., Pudasaini, R., Ghimire, B., Gurung, K., Choi, K., Rai, L., Magar, S., Bishnu, B.K. and Raizada, M.N. (2018). Intercropping of maize, millet, mustard, wheat and ginger increased land productivity and potential economic returns for smallholder terrace farmers in Nepal. Field Crops Research. 227: 91-101.

  15. Chivenge, P., Mabhaudhi, T., Modi, A.T. and Mafongoya, P. (2015). The potential role of neglected and underutilised crop species as future crops under water scarce conditions in sub-Saharan Africa. International Journal of Environment Research Public Health. 12: 5685-5711.

  16. Dahmardeh, M. (2013). Intercropping two varieties of maize and peanut: Biomass yield and intercropping advantages. International Journal Agriculture and Forestry. 3: 7-11.

  17. Dariush, M., Madani, A. and Oveysi, M. (2006). Assessing the land equivalent ratio (LER) of two corn (Zea mays) varieties intercropping at various nitrogen levels in Karaj, Iran. Journal of Central European Agriculture. 7: 35964.

  18. Gerrano, A.S., Jansen, van Rensburg W.S., Nemera, S. and Venter, S.L. (2019). Selection of cowpea genotypes based on grain mineral and total protein content. Acta Agriculture. Scandinavica. Section B - Soil and Plant Science. 69(2): 155-166.

  19. Gerrano, A.S., Adebola, P., Jansen, van Rensburg W.S. and Laurie, S.M. (2015). Genetic variability in cowpea [Vigna unguiculata (L.) Walp] genotypes. South African Journal of Soil and Plant. 32(3): 165-174.

  20. Gondwe, T.M., Alamu, E.O., Mdziniso, P. and Maziya-Dixon, B. (2019). Cowpea [Vigna unguiculata (L.) Walp] for food security: an evaluation of end-user traits of improved varieties in Swaziland. Scientific Reports. 9: 15991. https://doi.org/10.1038/s41598-019-52360-w.

  21. Kermah, M.F., Adjei-Nsiah, L., Ahiabor, S., Abaidoo, B.D.K. and Giller, K.E. (2017). Maize-grain legume intercropping for enhanced resource use efficiency and crop productivity in the Guinea savannah of northern Ghana. Field Crops Research. 213: 38-50.

  22. Mahapatra, S.C. (2011). Study of grass-legume intercropping system in terms of competition indices and monetary advantage index under acid lateritic soil of India. American Journal of Experimental Agriculture. 1: 683-693.

  23. Mango, N., Mapemba, L., Tchale, H., Makate, C., Dunjana, N. and Lundy, M. (2018). Maize value chain analysis: A case of smallholder maize production and marketing in selected areas of Malawi and Mozambique. Cogent Business Management. 5: 1.

  24. Mucheru-Muna, M., Pypers, P., Mugendi, D., Kungu, J., Mugwe, J., Merckx, R. and Vanlauwe, B. (2010). Staggered maize- legume intercrop arrangement robustly increases crop yields and economic returns in the highlands of central Kenya. Field Crops Research. 115: 132-139.

  25. Muranaka, S., Shono, M., Myoda, T., Takeuchi, J., Franco, J., Nakazawa, Y., Boukar, O. and Takagi, H. (2016). Genetic diversity of physical, nutritional and functional properties of cowpea grain and relationships among the traits. Plant Genetic Resources. 14: 67-76.

  26. Ngalamu, T., Meseka, SK., Ifie, B.E., Ofori, K. and Eleblu, J.S.Y. (2019). Analysis of phenotypic stability in 25 Cowpea genotypes across six environments. Indian Journal of Agricultural Research. 53: 728-732.

  27. Nkhoma, N., Shimelis, H. and Laing, M.D. (2020). Assessing the genetic diversity of cowpea [Vigna unguiculata (L.) Walp] germplasm collections using phenotypic traits and SNP markers. BMC Genetics. 21: 110. https://doi.org/10.1186/ s12863-020-00914-7.

  28. Nwosu, D.J., Olatunbosun, B.D. and Adetiloye, I.S. (2013). Genetic variability, heritability, and genetic advance in cowpea genotypes in two agro-ecological environments. Greener Journal Biological Sciences. 3: 202-207.

  29. Shetty, P. (2015). From food security to food and nutrition security: Role of agriculture and farming systems for nutrition. Current Sciences. 109: 456-461.

  30. Singh, B.B. and Ajeigbe, H.A. (2007). Improved cowpea- cereal cropping systems for household food security and poverty reduction in West Africa. Journal of Crop Improvement. 19: 157-172.

  31. Singh, B.B. (2001). Genetic Variability for Physical Properties of Cowpea Seeds and Their Effect on Cooking Quality. African Crop Science Conference Proceedings. 5: 43-46.

  32. Steel, R.G.D., Torrie, J.H. and Dicky, D.A. (1997). Principles and Procedures of Statistics: A Biometrical Approach, Third edition. McGraw Hill, Inc., Book Co., New York, USA. Pp. 352-358.

  33. Sujatha, H.T. and Babalad, H.B. (2018). System productivity and economics of transplanted and direct sown pigeonpea at different cropping geometry and intercropping systems. International Journal of Pure Applied Bioscience. 6: 694-700.

  34. Thanga, A., Hemavathy, J.R., Kannan, B. and Priyadharshini, M. (2019). Genetic variability and character association in pigeonpea [Cajanus cajan (L.) Millsp.] core collection. Indian Journal Agricultural Research. 53: 362-365.

  35. Zerihun, A., Shiferaw, T. and Meseret, T. (2016). Multiple advantages of cowpea (Vigna unguiculata L.) in maize based cropping systems: used as live stake for climbing bean with phosphorus rates and maize productivity enhancement in monocropping. Journal of Natural Science Research.  6: 8-18.

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