Confirmation of causality of climatic and soil physical factors affecting the corn (Zea mays L.) yield for silage in the climate-soil-yield network

Moonju Kim
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Abstract

Abstract This study aimed to confirm the causality of climatic and soil physical factors on silage corn yield based on the climatesoil-yield network in Korea. The climatic variables were growing degree days, high temperature, low temperature, surface temperature, rainfall, relative humidity, wind speed, and sunshine duration before and after silking. The soil physical variables were the effective depth, slope and drainage class of the soil. The yield variables were total digestible nutrients, dry matter and fresh matter yields. The network was constructed using structural equations and neural network models. In the result of the network, three causalities were remarkable. First, all longitudinal climatic causality before and after the silking stages were significant. It implies that the effect of climate in the vegetative stage reaches to yield through themselves in the reproductive stage. Second, there was the causality between climatic and soil physical factors based on indirect effects. Thus, it is likely to lead to an offset between the direct and indirect effects of soil physical factors. Finally, the effects of drought and heavy rainfall were clear before and after silking stages, respectively. It indicates that stress can damage the corn yield for silage. Here, the damage caused by the drought could be recovered due to various indirect effects, while the damage caused by heavy rainfall was fatal because there was a lack of an indirect path to recover from. This study contributed to identifying how various climatic and soil physical factors can affect production in the network. Furthermore, the climate-soil-yield network for silage corn in this study will help extend the structure with various factors in future studies.
气候-土壤-产量网络中影响玉米青贮产量的气候和土壤物理因素因果关系的确认
基于韩国气候-土壤-产量网络,研究气候和土壤物理因素对青贮玉米产量的影响。吐丝前后的气候变量为生长期、高温、低温、地表温度、降雨量、相对湿度、风速和日照时数。土壤物理变量为土壤的有效深度、坡度和排水等级。产量变量为总可消化养分、干物质和新鲜物质产量。利用结构方程和神经网络模型构建网络。在网络的结果中,有三个伤亡是显著的。首先,吐丝前后的所有纵向气候因果关系都是显著的。这说明,植物在营养期受气候的影响,在繁殖期通过自身达到产量。其次,气候因子与土壤物理因子之间存在间接影响的因果关系。因此,它很可能导致土壤物理因素的直接和间接影响之间的抵消。最后,在吐丝期前后,干旱和强降雨对吐丝期的影响较为明显。说明胁迫对青贮玉米产量有一定影响。在这里,由于各种间接影响,干旱造成的损害可以恢复,而暴雨造成的损害是致命的,因为缺乏间接的恢复途径。这项研究有助于确定各种气候和土壤物理因素如何影响网络中的生产。此外,本研究建立的青贮玉米气候-土壤-产量网络将有助于在未来的研究中扩展各种因素的结构。
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