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The competitive effect of almond trees on light and nutrients absorption, crop growth rate, and the yield in almond–cereal agroforestry systems in semi-arid regions

  • Ali Abbasi SurkiEmail author
  • Monir Nazari
  • Sina Fallah
  • Ramin Iranipour
  • Asghar Mousavi
Article

Abstract

In recent years, the management of agroforestry systems has been widely focused on reducing the soil erosion and water losses, restoration of environmental balance, increasing the land use efficiency, and elevating economic benefits in different regions. This study was conducted in 2015 to evaluate the interspecific competition in tree-based intercropping systems in a semiarid region of Saman County, Chaharmahal and Bakhtiari Province, Iran. Wheat and barley intercropping with almond trees in comparison with the conventional sole-cropping was investigated in terms of the photosynthetic active radiation (PAR), leaf area index, crop growth rate (CGR), net assimilation rate (NAR), amount of the residual elements in the soil, soil organic carbon, and crop yields at three distances from the trees (0.5 m, 1.5 m, and 2.5 m). According to the results, the PAR intercepted by the crops increased with distances from the tree. The highest intercepted PAR in almond–barley and almond–wheat systems was 1017 and 796 µmol m−2 s−1, respectively, at a distance of 2.5 m from the trees. The shading of the almond tree at 0.5 m from the trunk caused a reduction in the intercepted PAR by about 80%. This trend was repeated for the NAR and CGR, which had the highest values at distance of 2.5 m from the tree. The highest grain yields for wheat and barley (2985 and 2180 kg ha−1, respectively) were obtained by intercropping systems at the distance of 2.5 m from the trees, which were 35% and 39% higher than their respective monocultures. The remaining nutrients in the soil were also affected by the planting systems and their distance from the tree. For example, in barley–almond system, the highest amounts of soil organic carbon (0.89 g kg−1), total nitrogen (0.8 g kg−1), phosphorus (15.5 mg kg−1), and potassium (289 mg kg−1) in soil were observed at a distance of 0.5 m from the almond trees, which were higher than the monoculture by about 55, 63, 48, and 53%, respectively. In general, the amounts of residual nutrients of the soil were greater for the agroforestry system. The reduction of PAR in agroforestry systems was the most important crop limitation, which can be managed by increasing the distance from the trees. According to the data regarding carbon, nitrogen, phosphorus, and potassium residues in the soil of agroforestry system, it could be concluded that soil fertility was not limiting crop performance.

Keywords

Agroforestry Monoculture Competition PAR Nutrient 

Notes

References

  1. Bhardwaj KK, Dhillon RS, Sushil K, Vishal J, Dalal V, Chavan SB (2017) Effect of eucalyptus bund plantation on yield of agricultural crops and soil properties in semi-arid region of India. Int J Curr Microbiol Appl Sci 6(10):2059–2065CrossRefGoogle Scholar
  2. Bremner J (1965) Inorganic forms of nitrogen. In: Black CA et al (eds) Methods of soil analysis, part 2 agronomy 9. American Society of Agronomy Inc., Madison, pp 1179–1237Google Scholar
  3. Daizy R, Batish R, Kumar K, Shibu JH, Pal S (2008) Ecological basis of agroforestry. Taylor & Francis, New York, p 400Google Scholar
  4. Friday JB, Fownes JH (2002) Competition for light between hedgerows and maize in an alley cropping system in Hawaii, USA. Agrofor Syst 55:125–137CrossRefGoogle Scholar
  5. Gao L, Xu H, Bi H, Xi W, Bao B (2013) Intercropping competition between apple trees and crops in agroforestry systems on the Loess Plateau of China. PLoS ONE 8(7):e70739CrossRefGoogle Scholar
  6. Hall DJM, Sudmeyer RA, McLernon CK, Short RJ (2002) Characterization of a windbreak system on the south coast of Western Australia. 3. Soil water and hydrology. Aust J Exp Agric 42:729–738CrossRefGoogle Scholar
  7. Hasan MM, Asaduzzaman SM, Islam KK, Hossain MA (2005) Effect of organic and inorganic fertilizer on growth and yield of wheat under Agrisilvicultural system. J Agric Sci 57(7):193–205Google Scholar
  8. Jackson ML (1962) Soil chemical analysis. Prentice-Hall, Inc, Englewood Cliffs, p 498Google Scholar
  9. Jose S, Gillespie AR, Seifert JR, Biehle DJ (2000) Defining competition vectors in a temperate alley cropping system in the midwestern USA: 2. Competition for water. Agrofor Syst 48:41–59CrossRefGoogle Scholar
  10. Keshiri M, Latifi N, Ghasemi M (2003) Growth analysis of safflower varieties with different cropping pattern in rainfed condition. Agric Nat Resour 10:85–94 (In Persian) Google Scholar
  11. Kowalchuk TE, Jong E (1995) Shelterbelts and their effect on crop yield. Can J Soil Sci 75:543–550CrossRefGoogle Scholar
  12. Lakshamen Kumar P (2014) Growth studies of yield variability in wheat (Triticum aesitivum L.) under varying degree of shades. J Hill Agric 5(3):525–530Google Scholar
  13. Lal R (2004) Soil carbon sequestration impacts on global climate change and food security. Science 304:1623–1627CrossRefGoogle Scholar
  14. Lal R, Bruce JP (1999) The potential of world cropland soils to sequester C and mitigate the greenhouse effect. Environ Sci Policy 2:177–185CrossRefGoogle Scholar
  15. Murage EW, Karanja NK, Smithson PC, Woomer PL (2000) Diagnostic indicators of soil quality in productive and non-productive smallholders fields of Kenya’s central highlands. Agric Ecosyst Environ 79:1–8CrossRefGoogle Scholar
  16. Nath AJ, Lal R, Das AK (2015) Ethnopedology and soil properties in bamboo (Bambusa sp.) based agroforestry system in North East India. CATENA 135:92–99CrossRefGoogle Scholar
  17. Newman SM, Bennett K, Wu Y (1997) Performance of maize, beans and ginger as intercrops in Paulownia plantations in China. Agrofor Syst 39:23–30CrossRefGoogle Scholar
  18. Olsen SR, Sommers LE (1982) Phosphorus. In: Klute A (ed) Methods of soil analysis: chemical and microbiological properties, part 2, vol 9, 2nd edn. Agronomy monograph. ASA and SSSA, Madison, pp 403–430Google Scholar
  19. Pardon P, Reubens B, Reheul D, Mertens J, De Frenn P, Coussement T, Janssen P, Verheyen K (2017) Trees increase soil organic carbon and nutrient availability in temperate agroforestry systems. Agric Ecosyst Environ 247:98–111CrossRefGoogle Scholar
  20. Peng X, Zhang Y, Cai J, Jiang Z, Zhang S (2009) Photosynthesis, growth and yield of soybean and maize in a tree-based agroforestry intercropping system on the Loess Plateau. Agrofor Syst 76:569–577CrossRefGoogle Scholar
  21. Philip JS, Neil IH, Patricia M, Gudeta WS, Festus KA, Julia W, Fergus S (2017) Accurate crop yield predictions from modelling tree-crop interactions in gliricidia–maize agroforestry. Agric Syst 155:70–77CrossRefGoogle Scholar
  22. Reynold PE, Simpson JA, Thevathasan NV, Gordo AM (2007) Effects of tree competition on corn and soybean photosynthesis, growth, and yield in a temperate tree-based agroforestry intercropping system in southern Ontario, Canada. Ecol Eng 29:362–371CrossRefGoogle Scholar
  23. Rousseau GX, Deheuvels O, Rodriguez Arias I, Somarrib E (2012) Indicating soil quality in cacao-based agroforestry systems and old-growth forests: the potential of soil macrofauna assemblage. Ecol Indic 23:535–543CrossRefGoogle Scholar
  24. Sarvade S, Mishra HS, Rajesh K, Sumit Ch, Salil T, Jadhav TA (2014) Performance of wheat (Triticum aestivum L.) crop under different spacings of trees and fertility levels. Afr J Agric Res 9(9):866–873CrossRefGoogle Scholar
  25. Suryanto P, Putra ETS, Kurniawan S, Suwignyocan B, Sukirno DAP (2014) Maize response at three levels of shade and its improvement with intensive agro forestry regimes in Gunung Kidul, Java, Indonesia. Procedia Environ Sci 20:370–376CrossRefGoogle Scholar
  26. Tavakoli M, Raiesi F, Salehi MH (2008) Evaluation of selected soil quality indicators in almond orchard located on north and south-facing slopes in Saman region, Shahrekord. J Agric Nat Resour 15(1):1–13Google Scholar
  27. Thevathasan NV, Gordon AM, Simpson JA, Reynolds PE, Price G et al (2004) Biophysical and ecological interactions in a temperate tree-based intercropping system. J Crop Improv 12:339–363CrossRefGoogle Scholar
  28. Thomas J, Kumar BM, Wahid PA, Kamalam NV, Fisher RF (1998) Root competition for phosphorus between ginger and Ailanthus triphysa in Kerala, India. Agrofor Syst 41:293–305CrossRefGoogle Scholar
  29. Thomazini A, Mendonça ES, Teixeira DB, Almeida ICC, La Scala N, Canellas LP, Schaefer CEGR (2015) CO2 and N2O emissions in a soil chronosequence at a glacier retreat zone in Maritime Antarctica. Sci Total Environ 521:336–345CrossRefGoogle Scholar
  30. Vandermeer IH (1989) The ecology of intercropping. Cambridge University Press, Cambridge, p 237CrossRefGoogle Scholar
  31. Wadud MA (1999) Performance of four summer vegetables, under reduced light condition for agroforestry systems. M.S. thesis, BSMRAU, Gazipur, BangladeshGoogle Scholar
  32. Yun L, Bi H, Gao L, Zhu Q, Ma W et al (2012) Soil moisture and soil nutrient content in walnut-crop intercropping systems in the Loess Plateau of China. Arid Land Res Manag 26:285–296CrossRefGoogle Scholar
  33. Zhang M, Yu GR, Zhuang J, Gentry R, Fu, YL, Sun XM et al (2011) Effects of cloudiness change on net ecosystem exchange, light use efficiency, and water use efficiency in typical ecosystems of China. Agric For Meteorol 151:803–816CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2020

Authors and Affiliations

  1. 1.Faculty of AgricultureShahrekord UniversityShahrekordIran
  2. 2.Agricultural and Natural Resources Research Center (ANRRC)ShahrekordIran

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