丁宸旸, 吕新, 韩小强, 郝婷丽, 麻向阳, 刘世豪, 田程程, 刘尚昌, 侯彤瑜. 机采棉种植模式对植保机械化学脱叶作业效果的影响[J]. 农业工程学报, 2022, 38(20): 1-8. DOI: 10.11975/j.issn.1002-6819.2022.20.001
    引用本文: 丁宸旸, 吕新, 韩小强, 郝婷丽, 麻向阳, 刘世豪, 田程程, 刘尚昌, 侯彤瑜. 机采棉种植模式对植保机械化学脱叶作业效果的影响[J]. 农业工程学报, 2022, 38(20): 1-8. DOI: 10.11975/j.issn.1002-6819.2022.20.001
    Ding Chenyang, Lyu Xin, Han Xiaoqiang, Hao Tingli, Ma Xiangyang, Liu Shihao, Tian Chengcheng, Liu Shangchang, Hou Tongyu. Effects of machine-harvested cotton planting pattern on the efficacy of chemical defoliant application of plant protection machine[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(20): 1-8. DOI: 10.11975/j.issn.1002-6819.2022.20.001
    Citation: Ding Chenyang, Lyu Xin, Han Xiaoqiang, Hao Tingli, Ma Xiangyang, Liu Shihao, Tian Chengcheng, Liu Shangchang, Hou Tongyu. Effects of machine-harvested cotton planting pattern on the efficacy of chemical defoliant application of plant protection machine[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(20): 1-8. DOI: 10.11975/j.issn.1002-6819.2022.20.001

    机采棉种植模式对植保机械化学脱叶作业效果的影响

    Effects of machine-harvested cotton planting pattern on the efficacy of chemical defoliant application of plant protection machine

    • 摘要: 种植模式优化是实现新疆棉花高产优质的重要途经,但其对机采棉化学脱叶环节农机农艺融合的影响还不明确。该研究开展了"矮密早"(1膜6行,66 cm + 10 cm宽窄行,R6)、"宽早优"(1膜3行,76 cm等行距,R3)2种机采棉种植模式下多旋翼植保无人机和自走式喷杆喷雾机2种植保机械的化学脱叶田间试验,通过测定叶片尺度脱叶剂雾滴粒径分布和沉积参数,系统分析了不同种植模式和植保机械组合对棉花冠层脱叶剂雾滴沉积特性、行间地面雾滴损失以及最终脱叶效果的影响。结果表明无人机作业的雾滴粒径分布、覆盖率、沉积量及行间地面损失与喷雾机相比均有显著差异(P<0.01)。喷雾机和无人机作业的100~300 μm粒径有效雾滴占比分别为2.60%和61.00%,无人机较喷雾机提高了58.40个百分点,雾滴粒径分布更均匀;雾滴覆盖率分别为42.05%和3.22%,喷雾机作业的雾滴覆盖率是无人机的13倍;沉积量分别为0.49和0.69 μg/cm2,喷雾机作业的雾滴沉积量仅为无人机的71.00%,这是因为无人机喷雾具有高浓度、低容量的特点。喷雾机喷施后棉花冠层下部较冠层上部的雾滴覆盖率和沉积量相对降低17.99%和17.63%,无人机作业后冠层下部的雾滴覆盖率和沉积量较冠层上部相对降低35.45%和53.71%,说明无人机喷施的雾滴穿透性不足;喷雾机作业后行间地面雾滴沉积损失量为无人机的1.91倍。种植模式对雾滴沉积特性有显著影响(P<0.01),与"矮密早"相比,"宽早优"模式冠层下部雾滴覆盖度提高18.59个百分点(相对提高117.60%),变异系数降低43.73个百分点(相对降低43.83%);冠层下部雾滴沉积量提高0.33 μg/cm2(相对提高125.60%),变异系数降低31.63个百分点(相对降低36.00%),提高了雾滴的穿透性和均匀性。无人机二次喷施作业后,脱叶率在90%~94%间,满足棉花机采作业要求。综上,采用无人机进行化学脱叶作业雾滴粒径分布合理但穿透性不足,而采用"宽早优"模式可以改善无人机雾滴穿透性不足的问题,提升冠层内雾滴分布均匀性,在满足棉花机采对化学脱叶要求的前提下,降低作业过程对棉花生长和土壤环境的潜在影响。

       

      Abstract: Abstract: Planting pattern of cotton can be optimized for the higher yield, quality and efficiency production in Xinjiang Uygur Autonomous Region, China. However, it is still unclear about the effects of machine-harvested cotton planting pattern on the agricultural machinery and techniques in the spray application of chemical harvest-aid. In this study, a field experiment was carried out to clarify the effects, with two planting patterns of machine-harvested cotton, including the "aimizao" planting pattern (six lines per film with the wide-narrow row spacing, 66 + 10 cm, R6), and the "kuanzaoyou" planting pattern (three lines per film with equal row spacing, 76 cm, R3), as well as with two chemical defoliant spraying machines, including an agricultural drone sprayer (UAV), and a ground-based boom sprayer (MTZ). A representative canopy of four individual plants was selected in each pattern-sprayer combination. Some parameters were also measured for each leaf, including the volume diameter, coverage rate, and deposition amount of defoliant spray droplets. A systematic analysis was made on the effects of planting mode on the deposition and dissipation characteristics of defoliant droplets. An optimal defoliation efficiency of the cotton before the plants were determined ready for the mechanical harvesting. The results showed that there were significant differences between the UAV and MTZ in the volume diameter distribution, droplet coverage rate, deposition amount, and loss magnitude of the defoliant spray droplets (P<0.01). There was the more uniform distribution in the volume diameter of the droplet, when the defoliant was sprayed using UAV. 2.60% proportion was found in the most effective droplet with the size between 100-300 μm for the MTZ, which was improved by 58.40 percentage points to 61.00% for the UAV. The droplet coverage rates of UAV and MTZ were 3.22% and 42.05%, respectively. The coverage rate of MTZ was about 13 times higher than that of UAV. But, the droplet deposition amount of UAV and MTZ was 0.49 and 0.69 μg/cm2, respectively. Among them, the deposition amount of MTZ was only 71.00% of UAV, indicating the low capacity but high concentration of the UAV. Furthermore, the coverage rate and deposition amount in the lower part of the cotton canopy decreased by 17.99%, and 17.63%, respectively, using MTZ, but decreased by 35.45% and 53.71%, respectively, using UAV, compared with the upper part of the cotton canopy. Therefore, the penetration of spray droplets in the UAV was insufficient to reach the lower canopy. The droplet deposition loss between the cotton canopy rows of the MTZ was 1.91 times as large as that of the UAV. Different planting patterns of machine-harvested cotton also showed a significant effect on the deposition of spray droplet. More importantly, the coverage rate and deposition amount in the lower canopy increased by 18.59 percentage points and 0.33 μg/cm2 (117.60%, and 125.60% for the relative differences), respectively, in the "kuanzaoyou" planting pattern, compared with the "aimizao". By contrast, there was the decrease in the coefficient of variation by 43.73, and 31.63 percentage points (43.83%, and 36.00% for the relative differences), respectively. It infers that the "kuanzaoyou" planting mode was improved the penetration and uniformity of droplets in the canopy, especially for the middle-lower canopy layers. There was a great benefit in the penetration of UAV. All of the final defoliation rates reached a range of 90%-94% after spraying once by the BGM or twice by the UAV, fully meeting the harsh requirement of cotton mechanical harvesting operation. In conclusion, the UAV chemical defoliant spraying at the planting mode of "kuanzaoyou" can be expected to reduce the potential impact on the cotton growth and soil environment, due to the non-contact operation and reasonable distribution of droplet size. The finding can provide a strong reference for the mechanical harvesting of cotton to the chemical defoliation.

       

    /

    返回文章
    返回