Effect of narrow-row planting patterns on crop competitive and economic advantage in maize–soybean relay strip intercropping system

By Feng Yang, Dunping Liao, Yuanfang Fan, Rencai Gao, Xiaoling Wu, Tanzeelur Rahman, T. Yong, Weiguo Liu, Jiang Liu, Junbo Du and 3 more. 2017

49 citations recorded by the source corpus.

Abstract Narrow-row planting patterns directly affect crop yield and competition in intercropping systems. A two-year (2012 and 2013) field experiment was conducted to determine the interactive behavior between intercrops in a maize–soybean relay strip intercropping system. Maize plants were planted in different narrow-wide row planting patterns, whereas soybean was planted in wide rows. The total biomass and grain yield of maize increased with increasing maize narrow-row spacing, but the opposite trend was observed for soybean. The aggressivity, competitive ratio, and partial relative crowding advantage values for maize were greater than those for soybean. Moreover, the competitive interaction of the intercrops was affected by the distance between maize and soybean rows. The highest intercrop land equivalent ratio (LER) 1.61 and 1.59 was found in the 40:160 planting pattern (i.e. 40 cm narrow-row spacing and 160 cm wide-row spacing of maize) during 2012 and 2013, respectively. Combined with actual yield loss and LER, the intense intra-specific competition of maize plants reduced the depression for the associated soybeans when the maize narrow-row spacing was less than 30 cm. When the narrow-row spacing was wider than 50 cm, soybean growth was seriously depressed by maize because of the stronger inter-specific competition between maize and soybean. The maximum yield and economic advantage appeared in the 40:160 narrow-wide row planting pattern. Therefore, intercropping advantage may be achieved by changing the row spacing and distance between intercrop rows to coordinate the inter-specific competition between maize and soybean.

Subfields: Agronomy and Crop Science, Forestry, Plant Science

View Paper: https://www.semanticscholar.org/paper/d4e9f12773c92ecde596bb9eaf4d4fc0eb42c8c2

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In Agronomy and Crop Science

  1. S. Maitra
  2. E. Schulte-Geldermann
  3. C. Gachene
  4. Nancy N. Karanja
  5. Muhammad Ali Raza
  6. S. Nyawade
  7. H. I. Gitari
  8. S. Kamau

In Forestry

  1. S. Maitra
  2. E. Schulte-Geldermann
  3. C. Gachene
  4. Nancy N. Karanja
  5. Muhammad Ali Raza
  6. S. Nyawade
  7. H. I. Gitari
  8. S. Kamau

In Plant Science

  1. S. Maitra
  2. E. Schulte-Geldermann
  3. C. Gachene
  4. Nancy N. Karanja
  5. Muhammad Ali Raza
  6. S. Nyawade
  7. H. I. Gitari
  8. S. Kamau

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