DocumentCode :
1593026
Title :
The grey correlation degree analysis on yield of peanut and traits in warm temperate regions
Author :
Yang, Yujian ; Zhu, Jianhua ; Wan, Shubo ; Wang, Caibin
Author_Institution :
S&T Inf. Eng. Res. Center, Shandong Acad. of Agric. Sci., Jinan, China
fYear :
2010
Firstpage :
161
Lastpage :
165
Abstract :
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.
Keywords :
agriculture; correlation methods; crops; fertilisers; grey systems; agronomic traits; ecological regions; fertilization; general linear model; grey correlation degree analysis method; peanut cultivars; peanut traits; peanut yield; quantitative relationship; warm temperate regions; water; Agriculture; Analytical models; Biological system modeling; Cities and towns; Correlation; Presses; Stability analysis; Agronomic traits; Grey correlation degree analysis; Warm temperate regions; Yield of peanut;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
ISSN :
2154-4824
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
Type :
conf
Filename :
5665555
Link To Document :
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