The grey correlation degree analysis on yield of peanut and traits in warm temperate regions

World Automation Congress(2010)

引用 2|浏览19
暂无评分
摘要
Peanut cultivars and environments are an important subject of peanut with good quality and high yield. In the study, the experiment was conducted with peanut, 6 peanut cultivars were tested in 9 different environments in Shandong province of China in 2008. Variation of peanut yield and traits was analyzed with the support of general linear model, and the results showed environment has more obvious effect on yield of peanut than cultivars. In order to understand the quantitative relationship between yield of peanut and 7 agronomic traits(main stem height, main stem leaves No., lateral branches length, full pods No., branch No., pod aciculae No., fruit let No.), Furthermore, the paper analyzed the traits of 7 indices evaluated comprehensively and quantitatively by use of grey correlation degree analysis method, the grey correlation degree of yield of peanut and 7 agronomic traits was calculated. The grey correlation degree analysis on these data showed that the importance of the traits presented the difference effects on yield of peanut in 9 environments, analysis of 3 ecological regions results also indicated agronomic traits are one of factors affecting yield of peanut, so not only traits, but water and fertilization factors study should be further strengthened to improve yield of peanut in warm temperate regions.
更多
查看译文
关键词
fertilisers,grey systems,grey correlation degree analysis,warm temperate regions,yield of peanut,agronomic traits,general linear model,ecological regions,agriculture,water,crops,quantitative relationship,grey correlation degree analysis method,fertilization,peanut yield,peanut cultivars,correlation methods,peanut traits,stability analysis,correlation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要