Welcome to Chinese Journal of Ecology! Today is Share:

cje

Previous Articles     Next Articles

Phenotypic diversity of Prunus armeniaca stone and almond in Inner Mongolia.

DUAN Guo-zhen1, TIAN You-liang1, BAI Shu-lan1, HE Yan-hong1, DAI Hai-yang2, XUE Hai-feng1, LI Ji-yang1, JIN Ya1, BAI Yu-e1*#br#   

  1. (1Forestry College of Inner Mongolia Agricultural University, Hohhot 010000, China; 2 Inner Mongolia Ecological and Agricultural Meteorological Center, Hohhot 010000, China).
  • Online:2016-11-10 Published:2016-11-10

Abstract: Apricot is an ecological and economic tree species in Inner Mongolia, and the study of its diversity can provide theoretical foundation for the selection and genetic improvement of new varieties of the apricot. Taking apricot from 10 provenances as the object, a multivariate analysis was conducted on the phenotypic characters of apricot stone and almond. The results showed that extremely significant difference appeared both among and within provenances. The average variation coefficient of each characteristic of 10 provenances reached 16%, with a range of 9%-28%. The average coefficient of phenotypic differentiation among provenances achieved 61.56%, which was higher than the coefficient of phenotypic differentiation within provenances, indicating that the differentiation derived mainly from interprovenances. The Simpson diversity index and Shannon diversity index of the apricot’s phenotypic character of stone and almond ranged from 0.839 to 0.862 and 2.855 to 3.016 respectively, and the average value of diversity index from the apricot stone was all higher than that of the almond. There existed a clear correlation between phenotypic character and longitude, temperature, precipitation and altitude, which showed obvious zonal patterns. Meanwhile, by systematical cluster analysis on the phenotypic characteristics of apricot, the 10 provenances were grouped into 3 categories, being consistent with the geographical factors.

Key words: risk assessment code method., heavy metal, chemical speciation, agricultural soil, potential ecological risk index