| Literature DB >> 36161034 |
Xuejiang Wang1, Yan Chi1, Feng Li1.
Abstract
China has implemented a series of policies to reduce the usage of chemical pesticides to maintain food production safety and to reduce water and soil pollution. However, there is still a huge gap in developing biological pesticides to replace chemical agents or managing pests to prevent crop production loss. It is necessary to predict the future use of chemical pesticides and to exploit the potential ways to control pests and crop diseases. Pesticide usage is affected by seasonal changes and analyzed by using a seasonal autoregressive integrated moving average (ARIMA) model (a statistical model that predicts future trends using time-series data). The future development of biopesticides in China was predicted using the compound annual growth rate (CAGR), which is calculated via the equation [(Final value/Starting value)1/years - 1] according to the annual growth rate of target products over time. According to the reducing trend of pesticide and biological pesticide usage annually, China is predicted possibly step into the era of pesticide-free agriculture in 2050 based on the analysis of the ARIMA model. With CAGR calculation, China will produce from 500 thousand to one million tons of biopesticides in 2050, which can meet the need to replace chemical pesticides in agriculture to prevent the present crop production loss. To achieve the goal, China still has the greatest challenges to develop biopesticides and use various strategies to control pest and crop diseases. China may step into the dawn of chemical pesticide-free agriculture in 2050 if biopesticides can be developed smoothly and pests can be controlled well using various strategies.Entities:
Keywords: autoregressive integrated moving average model; biopesticide; chemical pesticide; compound annual growth rate (CAGR); pesticide-free agriculture
Year: 2022 PMID: 36161034 PMCID: PMC9504061 DOI: 10.3389/fpls.2022.942117
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 6.627
FIGURE 1Flow chart of seasonal ARIMA model steps. Agricultural chemical pesticides forecasting in China was performed using seasonal ARIMA (p,d,q) × (P,D,Q)S model with p = nonseasonal autoregressive (AR) order, d = nonseasonal differencing, q = nonseasonal moving average (MA) order, P = seasonal AR order, D = seasonal differencing, Q = seasonal MA order, and S = time span of repeating seasonal pattern (Abdul-Aziz et al., 2013). ARIMA, autoregressive integrated moving average; ACF, autocorrelation function; PACF, partial autocorrelation.
FIGURE 2Chemical pesticide consumption in China from 1991 to 2021. Pesticides include fungicide, herbicide, and insecticide.
FIGURE 3A seasonal ARIMA model for time series forecasting in the chemical pesticide consumption in China in 2050. (A) The chemical pesticide consumption in China from 2003 to 2021. (B) Forecasting data are approved using the observed data. (C) The chemical pesticide consumption will reach zero by 2050 based on the seasonal ARIMA model. Gray areas indicate the observed maximum positive and negative relationship between chemical pesticide consumption and date (years). ARIMA, autoregressive integrated moving average.
FIGURE 4The development of biopesticide in China. (A) The proportion of biopesticides to the proportion of chemical pesticides in China in 2020. (B) The development of biopesticide in China until 2050 based on CAGR calculation. CAGR, compound annual growth rate.