Substitutive Effects of Upland Rice and Soybean Plant Populations on the Performance of the Component Crops in Intercropping System

Marian Ozioma Effam, Ogbodo Emmanuel Nwabunwanne, Mbah Emmanuel Ukaoba, Onyeaghala Innocent Daniel

Abstract

A two–year field experiment was carried out in the 2018-2019 cropping seasons to determine the effect of substitutive plant population on the yield and productivity of component crops in the upland rice/soybean intercropping in the lowland humid region of Umudike, Southeast Nigeria. The treatments comprised three intercrop populations and one sole crop population of upland rice and soybean, which includes sole upland rice (Oryzae sativa L.) 100%, sole soybean 100%, Upland rice (Oryzae sativa L.) 25% + Soybean 75%, Upland rice (Oryzae sativa L.) 50% + Soybean 50% and Upland rice (Oryzae sativa L.) 75% + Soybean 25%. The experiment was laid out in randomized complete block design (RCBD) with three replications. The yield data collected were subjected to analysis of variance (ANOVA) using Genstat (2009), which includes grain yield of upland rice, number of panicles per plant, weight of seeds per panicle, weight of seeds per plant, and 1000-seed weight while soybean includes number of seeds per pod, number of seeds per plant, weight of seeds per plant. The treatments that received Rice 75/Soybean 25 produced the highest number of seeds/panicle weight of seeds/plant in 2018, while the correlation result showed a strong and positive association between grain yield of upland rice, number of panicle per plant, weight of seeds per panicle, weight of seeds per plant, and 1000-seed weight. Based on the result of the investigation, Rice 50/Soybean 50 gave the highest total land equivalent ratio (TLER), land equivalent ratio (LER), and % land saved in 2018. However, it was not consistent in 2019.



Keywords


plant population; rice; soybean; treatment; grain

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References


1. Bandumula, N. (2017). Rice Production in Asia: Key to Global Food Security. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, 88(4), 1323–1328. doi: 10.1007/s40011-017-0867-7

2. Purwanto, O. D., Pujiharti, Y., & Ramadhan, ‪Rizky P. (2023). Growth and Yield Performance of Upland and Lowland Rice Varieties Under Narrow-Wide Row Planting Systems in East Nusa Tenggara, Indonesia. Planta Tropika, 11(1), 50–60. doi: 10.18196/pt.v11i1.15921

3. Crews, T. E., & Peoples, M. B. (2004). Legume versus fertilizer sources of nitrogen: ecological tradeoffs and human needs. Agriculture, Ecosystems & Environment, 102(3), 279–297. doi: 10.1016/j.agee.2003.09.018

4. Willey, R. W. (1979). Intercropping: Its importance and research needs. Part 1. Competition and yield advantages. Field Crop Abstracts, 32(1), 1-10.

5. Ozturkmen, A. R., Ramazanoglu, E., Almaca, A., & Çakmakli, M. (2020). Effect Of Intercropping On Soil Physical And Chemical Properties In An Olive Orchard. Applied Ecology and Environmental Research, 18(6), 7783–7793. doi: 10.15666/aeer/1806_77837793

6. Aziz, M., Mahmood, A., Asif, M., Ali, A. (2015). Wheat-Based Intercropping: A Review. Retrieved from https://www.researchgate.net/publication/283026382_Wheat-based_intercropping_A_review

7. Yang, H., Znang, W., & Li, L. (2021). Intercropping: feed more people and build more sustainable agroecosystems. Frontiers of Agricultural Science and Engineering, 8(3). doi: 10.15302/j-fase-2021398

8. Genstat. (2019, May 9). What's new in Genstat for Windows 13th Edition. Retrieved from https://genstat.kb.vsni.co.uk/knowledge-base/whats-new13th/

9. Kwanchai, G., & Artiro, G. (1984). Statistical Procedures for Agricultural Research (2nd ed.). Retrieved from https://pdf.usaid.gov/pdf_docs/PNAAR208.pdf

10. Willey, R. W., & Rao, M. R. (1980). A Competitive Ratio for Quantifying Competition Between Intercrops. Experimental Agriculture, 16(2), 117–125. doi: 10.1017/s0014479700010802

11. Singh, I. (2016, December 3-5). Tree crop interaction in agroforestry system. Retrieved from https://www.researchgate.net/publication/353946076_Tree_crop_interaction_in_agroforestry_system

12. Walker, A. K., & Fehr, W. R. (1978). Yield Stability of Soybean Mixtures and Multiple Pure Stands1. Crop Science, 18(5), 719–723. doi: 10.2135/cropsci1978.0011183x001800050006x

13. Wahua, T. A. T., & Miller, D. A. (1978). Effects of Intercropping on Soybean N2‐Fixation and Plant Composition on Associated Sorghum and Soybeans. Agronomy Journal, 70(2), 292–295. doi: 10.2134/agronj1978.00021962007000020018x

14. Nurgi, N., Tana, T., Dechassa, N., Tesso, B., & Alemayehu, Y. (2023). Effect of spatial arrangement of faba bean variety intercropping with maize on yield and yield components of the crops. Heliyon, 9(6), e16751. doi: 10.1016/j.heliyon.2023.e16751

15. Gutiérrez-Rodrı́guez, M., Reynolds, M. P., & Larqué-Saavedra, A. (2000). Photosynthesis of wheat in a warm, irrigated environment. Field Crops Research, 66(1), 51–62. doi: 10.1016/s0378-4290(99)00078-7

16. Lin, W., & Liu, W. (2016). Establishment and application of spring maize yield to evapotranspiration boundary function in the Loess Plateau of China. Agricultural Water Management, 178, 345–349. doi: 10.1016/j.agwat.2016.10.004

17. Mead, R., & Willey, R. W. (1980). The Concept of a 'Land Equivalent Ratio' and Advantages in Yields from Intercropping. Experimental Agriculture, 16(3), 217–228. doi: 10.1017/s0014479700010978

18. Brennan, E. B., Boyd, N. S., Smith, R. F., & Foster, P. (2009). Seeding Rate and Planting Arrangement Effects on Growth and Weed Suppression of a Legume‐Oat Cover Crop for Organic Vegetable Systems. Agronomy Journal, 101(4), 979–988. doi: 10.2134/agronj2008.0194x

19. Malézieux, E., Crozat, Y., Dupraz, C., Laurans, M., Makowski, D., Ozier-Lafontaine, H., Rapidel, B., Tourdonnet, S., & Valantin-Morison, M. (2009). Mixing plant species in cropping systems: concepts, tools and models. A review. Agronomy for Sustainable Development, 29(1), 43–62. doi: 10.1051/agro:2007057

20. Rajani, C., Patil, S., & Kalaghatagi, S. (2022). Evaluation of productivity and profitability of millet and oilseed intercropping systems inthe northern dry zone of Karnataka. Retrieved from https://www.researchgate.net/publication/362326705_Evaluation_of_productivity_and_profitability_of_millet_and_oilseed_intercropping_systems_in_the_northern_dry_zone_of_Karnataka

21. Sehgal, A., Singh, G., Quintana, N., Kaur, G., Ebelhar, W., Nelson, K. A., & Dhillon, J. (2023). Long-term crop rotation affects crop yield and economic returns in humid subtropical climate. Field Crops Research, 298, 108952. doi: 10.1016/j.fcr.2023.108952

22. Yang, S., Zhao, Y., Xu, Y., Cui, J., Li, T., Hu, Y., Qian, X., Li, Z., Sui, P., & Chen, Y. (2024). Yield performance response to field configuration of maize and soybean intercropping in China: A meta-analysis. Field Crops Research, 306, 109235. doi: 10.1016/j.fcr.2023.109235

23. Yang, F., Liao, D., Fan, Y., Gao, R., Wu, X., Rahman, T., Yong, T., Liu, W., Liu, J., Du, J., Shu, K., Wang, X., & Yang, W. (2016). Effect of narrow-row planting patterns on crop competitive and economic advantage in maize–soybean relay strip intercropping system. Plant Production Science, 20(1), 1–11. doi: 10.1080/1343943x.2016.1224553

24. Hu, M., & Wiatrak, P. (2012). Effect of Planting Date on Soybean Growth, Yield, and Grain Quality: Review. Agronomy Journal, 104(3), 785–790. doi: 10.2134/agronj2011.0382


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Copyright (c) 2024 Effam Marian Ozioma, Ogbodo Emmanuel Nwabunwanne, Mbah Emmanuel Ukaoba, Onyeaghala Innocent Daniel

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