关键词: 花生;蛋白质含量;预测模型;空间分布

Abstract:

Peanut quality is influenced by light, temperature, water and soil, etc. Spatial prediction model for peanut protein content is established based on 9 ecological factors influencing protein content.  The spatial distribution of peanut protein content in China is predicted by using this model. The results showed that peanut protein content increases gradually from north to south, and the regions with high-content are mainly distributed in south to the  middle-lower valley of the Yangtze River. The minimum value is 13.3% in Jilin Province, the maximum value is 329% in Taiwan Province, and the average value is 26.9%. The above prediction results are of guiding significance for peanut production and breeding departments to improve peanut protein quality, carry out quality breeding work and establish special peanut producing base and optimize regional production distribution.

Key words: peanut, protein content, prediction model, spatial distribution