Prediction method for sunflower leaf area index growth based on salt nitrogen influence

Abstract

The invention relates to a salt nitrogen influence-based sunflower leaf area index growth prediction method, which comprises the following steps of: determining single plant leaf area indexes of sunflowers at various salt nitrogen levels in various growth stages to obtain relative leaf area indexes RLAIj of the sunflowers at the various growth stages at the various salt nitrogen levels; normalizing each growth stage of the sunflower by adopting the activity accumulated temperature, and establishing a function relationship between the RLAIj and the DVSj; establishing a corresponding function relationship between the average maximum single plant leaf area index LAImax of the sunflower in the whole growth period and the salt nitrogen content level; establishing a sunflower single plant leaf area index prediction model influenced by the salt nitrogen level; calculating sunflowers needing to be predicted through a prediction model formula according to the initial salt content of soil beforesowing, the nitrogen application level and the growth period where the sunflowers are located. According to the method, the influence of the soil salt nitrogen level on sunflower leaf area index growth and the influence of various factors in growth are fully considered, and the established prediction model formula calculation method is simple, accurate and effective.

Description

technical field [0001] The invention relates to the technical field of plant growth, in particular to a method for predicting the growth of sunflower leaf area index based on the influence of salt and nitrogen. Background technique [0002] The photosynthesis and transpiration of plants are mainly carried out through leaves, so the study of leaf growth is particularly important. Leaf area index (LAI) is defined as the ratio of the total area of ​​plant leaves to the land area, and is an important index to quantitatively describe the growth status of plant populations, and to characterize the light energy utilization status of vegetation and canopy structure. LAI can provide structured quantitative information for the initial energy exchange description of the plant canopy surface, not only can directly reflect the energy, carbon dioxide and material environment in the plant canopy at various scales, but also can reflect the characteristics of plant growth and health. Condit...

AI Technical Summary

Problems solved by technology

Soil salinization has become an important limiting factor affecting the growth of crops in this area, seriously restricting the sustainable development of agriculture in this area

Improper application of chemical fertilizers will further affect the level of soil salinization

Especially the application of nitrogen fertilizer can promote the increase of crop yield in most cases, but excessive fertilization is harmful instead of beneficial

In areas affected by soil salinization, the presence of salt in the soil will change the transformation process of nitrogen, thereby affecting the absorption of nitrogen by crops and fertilizer efficiency; on the other hand, since nitrogen itself is also a kind of salt, excessive application Nitrogen, in turn, increases soil salinization, further reducing crop yields

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