Journal of Integrative Agriculture (Aug 2019)

Causes of maize density loss in farmers' fields in Northeast China

  • Ying-jie ZHAO,
  • Sen XING,
  • Qing-song ZHANG,
  • Fu-suo ZHANG,
  • Wen-qi MA

Journal volume & issue
Vol. 18, no. 8
pp. 1680 – 1689

Abstract

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Increasing plant density is an effective and important way to reduce maize yield gaps in Northeast China. However, the fact is that a significant plant density gap exists between optimum plant density and actual plant density in farmers' fields. To quantify the density gap between planned planting density and final harvest plant density (HPD), we studied 60 farmers' fields on three types of soil for three crop seasons from 2015 to 2017 by measuring their plant-plant distance, actual seedlings density (ASD), final HPD and yield. We also explored the potential causes of density loss by digging the places where the seedlings were missing for two consecutive years in 2016–2017. Results show that the three-year average HPD in farmers' fields was 59 699 plants ha−1, which was significantly lower than the planned density, including both the machine setting density (MSD; 67 962 plants ha−1) and theoretical plant density (TPD; 67 467 plants ha−1). No significant difference was found in HPD between years and soil types. However, for MSD and TPD, the average value in 2015 was significantly higher than that in 2016 and 2017. No significant difference between soil types was observed. Furthermore, the results from 2016 till 2017 indicated that a lack of seeds in the soil, a failure to germinate due to low-quality seeds, and a lack of seedlings breaking out of the soil due to environmental problems explained approximately 60.88, 10.33 and 28.80% of density loss, respectively. According to our survey, 63% of farmers did not know their own TPD and HPD, and 54% of farmers did not know the density loss. Therefore, we argue that farmers' limited knowledge of density and density loss is an urgent problem that needs to be solved in maize production. These observations will be useful for determining best management practices for maize production and for providing helpful suggestions for machine improvement.

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