Welcome to Chinese Journal of Tropical Crops,

Chinese Journal of Tropical Crops ›› 2019, Vol. 40 ›› Issue (6): 1115-1121.DOI: 10.3969/j.issn.1000-2561.2019.06.012

• Phytophysiology and Biochemistry • Previous Articles     Next Articles

Correlation Analysis of Main Agronomic Traits of Different Plant Types and Path Analysis of Yield Per Plant in Peanut (Arachis hypogaea L.)

LU Qing,LIU Hao,LI Haifen,CHEN Xiaoping,HONG Yanbin,LIU Haiyan,LI Shaoxiong,ZHOU Guiyuan,LIANG Xuanqiang()   

  1. Crops Research Institute, Guangdong Academy of Agricultural Sciences / Guangdong Provincial Key Laboratory of Crop Genetic Improvement, Guangzhou, Guangdong 510640, China
  • Received:2018-10-29 Revised:2019-02-03 Online:2019-06-25 Published:2019-07-02
  • Contact: LIANG Xuanqiang


“Yueyou 13” was used as the material, and three different diameter PVC rings were used to create different plant types. The phenotypic variation of 18 main agronomic traits was statistically analyzed and the correlation among these traits was computed. Path analysis was used to analyze yield per plant. And then, stepwise regression was used to analyze the same trait. The results of phenotypic variation suggested that yield per plant, max number of pod node, length of lateral branch, total number of pod and total number of full pod increased significantly with the increase of treatment diameter. Correlation analyses among these traits indicated that there was a significant positive correlation between yield per plant and branch angle, max number of a pod node, total number of a pod and total number of a full pod. Path analysis showed that the direct path coefficient between total number of a pod and yield per plant was the largest (PY.X7=2.15). For the plant type related traits, the indirect coefficient between branch angle and yield per plant was the largest (IEX2=0.8567), and in indirect factors affecting yield per plant, the factor through affection total number of a pod was the largest (IEX2.X7=1.2060). Two optimal regression equations were obtained using stepwise regression analyses, such as Y=8.43+0.53X2 (P=6.8E-5); Y=-29.26+1.26X8+0.22X7 (P=3.13E-19; P=4.06E-11). In this study, the relationship between a plant type and yield per plant was preliminarily analyzed, and the influence factors of plant type correlation on yield were preliminarily uncovered, and a new peanut variety with an “U” plant type was proposed. This study could provide a theoretical base for plant type breeding in peanut in future.

Key words: peanut, plant type, yield per plant, correlation analysis, path analysis

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