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Timeliness Harvesting Loss of Rice in Cold Region under Different Mechanical Harvesting Methods

Author

Listed:
  • Jinwu Wang

    (College of Engineering, Northeast Agricultural University, Harbin 150030, China)

  • Xiaobo Sun

    (College of Engineering, Northeast Agricultural University, Harbin 150030, China)

  • Yanan Xu

    (College of Engineering, Northeast Agricultural University, Harbin 150030, China)

  • Wenqi Zhou

    (College of Engineering, Northeast Agricultural University, Harbin 150030, China)

  • Han Tang

    (College of Engineering, Northeast Agricultural University, Harbin 150030, China)

  • Qi Wang

    (College of Engineering, Northeast Agricultural University, Harbin 150030, China)

Abstract

The yield loss during the process of harvesting is a great challenge in rice production. A suitable harvesting time and harvesting method can help to reduce the yield losses of rice, and decisions about the harvest date have important implications for labor management as well as for agricultural machinery scheduling. Nonetheless, the comprehensive composition of timeliness harvesting loss (THL) and its changing rules for different harvesting methods remain poorly understood. The objective of this study was to determine the effect of harvest date and mechanical harvesting methods on grain dry matter timeliness loss (GDMTL) and mechanical timeliness losses (MTL) of rice in the cold region. To this end, the field experiment was conducted from 45 days after heading (45 DAH) to 59 days after heading (59 DAH), adopting a full-feeding and semi-feeding combine harvester (FCH and SCH) from 2019 to 2020. The results showed that harvest date had a significant effect on GDMTL and four kinds of MTL including header timeliness loss (HTL), cleaning timeliness loss (CTL), un-threshed timeliness loss (UTTL), and entrainment timeliness loss (ETL, only under FCH). With the prolonged harvest date, the HTL and CTL increased and the UTTL and ETL decreased, which ranged from 0.15–0.31%, 0.36–0.67%, 0.72–0.18%, and 0.69–0.31%, respectively for FCH. For SCH, the variation range of HTL, CTL, and UTTL was 0.41–0.59%, 0.66–0.98%, and 0.64–0.21%, respectively. The GDMTL increased first and then decreased, ranging from 2.84–0.87%. The mechanical harvesting methods had no significant effect on the GDMTL of rice, but the MTL could be large between FCH and SCH. In general, optimal harvest period was 52 DAH~53 DAH for both harvesting methods, which exhibited the highest yield and the lowest loss, i.e., 9269.3 kg/hm 2 and 1.70%, respectively, and the mechanical operating mode on different harvest dates was recommended to minimize the mechanical loss. The optimal harvest date for rice in a cold region ensured both quality and quantity for mechanized harvesting, and provided a reference for the reasonable allocation of operating harvesters in the harvesting season.

Suggested Citation

  • Jinwu Wang & Xiaobo Sun & Yanan Xu & Wenqi Zhou & Han Tang & Qi Wang, 2021. "Timeliness Harvesting Loss of Rice in Cold Region under Different Mechanical Harvesting Methods," Sustainability, MDPI, vol. 13(11), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6345-:d:568257
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    References listed on IDEAS

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    Cited by:

    1. Jian Sun & Yiming Zhang & Haitao Chen & Jinyou Qiao, 2023. "Optimization Model and Application for Agricultural Machinery Systems Based on Timeliness Losses of Multiple Operations," Agriculture, MDPI, vol. 13(10), pages 1-19, October.
    2. Lingjingyuan Xu & Jianming Yao, 2022. "Supply Chain Scheduling Optimization in an Agricultural Socialized Service Platform Based on the Coordination Degree," Sustainability, MDPI, vol. 14(23), pages 1-20, December.

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