Li Min, Hu Pengcheng, He Di, Zheng Bangyou, Guo Yan, Wu Yushan, Duan Tao
College of Land Science and Technology, China Agricultural University, Beijing, China.
School of Agriculture and Food Sustainability, The University of Queensland, St Lucia, QLD, Australia.
Plant Phenomics. 2023 Nov 10;5:0095. doi: 10.34133/plantphenomics.0095. eCollection 2023.
In intercropping systems, higher crops block direct radiation, resulting in inevitable shading on the lower crops. Cumulative shading capacity (), defined as the amount of direct radiation shaded by higher crops during a growth period, affects the light interception and radiation use efficiency of crops. Previous studies investigated the light interception and distribution of intercropping. However, how to directly quantify the and its inter-row heterogeneity is still unclear. Considering the canopy height differences (, obtained using an unmanned aerial vehicle) and solar position, we developed a shading capacity model (SCM) to quantify the shading on soybean in maize-soybean intercropping systems. Our results indicated that the southernmost row of soybean had the highest shading proportion, with variations observed among treatments composed of strip configurations and plant densities (ranging from 52.44% to 57.44%). The maximum overall in our treatments reached 123.77 MJ m. There was a quantitative relationship between and the soybean canopy height increment ( = 3.61 × 10×ln()+6.80 × 10, < 0.001). Assuming that the growth status of maize and soybean was consistent under different planting directions and latitudes, we evaluated the effects of factors (i.e., canopy height difference, latitude, and planting direction) on shading to provide insights for optimizing intercropping planting patterns. The simulation showed that increasing canopy height differences and latitude led to increased shading, and the planting direction with the least shading was about 90° to 120° at the experimental site. The newly proposed SCM offers a quantitative approach for better understanding shading in intercropping systems.
在间作系统中,较高的作物会阻挡直射辐射,导致下层作物不可避免地受到遮荫。累积遮荫量()定义为生长期间较高作物遮荫的直射辐射量,它会影响作物的光截获和辐射利用效率。以往的研究调查了间作的光截获和分布情况。然而,如何直接量化累积遮荫量及其行间异质性仍不清楚。考虑到冠层高度差异(使用无人机获取)和太阳位置,我们开发了一种遮荫量模型(SCM)来量化玉米 - 大豆间作系统中大豆所受的遮荫。我们的结果表明,最南端的大豆行遮荫比例最高,不同条带配置和种植密度组成的处理间存在差异(范围为52.44%至57.44%)。我们处理中的最大总体累积遮荫量达到123.77 MJ m。累积遮荫量与大豆冠层高度增量之间存在定量关系( = 3.61×10×ln() + 6.80×10, < 0.001)。假设在不同种植方向和纬度下玉米和大豆的生长状况一致,我们评估了冠层高度差异、纬度和种植方向等因素对遮荫的影响,以便为优化间作种植模式提供见解。模拟结果表明,增加冠层高度差异和纬度会导致遮荫增加,在试验地点,遮荫最少的种植方向约为90°至120°。新提出的SCM为更好地理解间作系统中的遮荫提供了一种定量方法。