ORIGINAL RESEARCH
Variations of Cadmium Accumulation
and Translocation in Different Pakchoi Cultivars
and Screening for Cd-Pollution-Safe Cultivars
Using Cluster Analysis
| 1 | College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, China |
| 2 | College of Science, Hunan Agricultural University, Changsha, China |
| 3 | Research Institute of Vegetables, Hunan Academy of Agricultural Sciences, Changsha, China |
| 4 | Hunan Academy of Agricultural Sciences, Changsha, China |
CORRESPONDING AUTHOR
Baobin Mi
Research institute of vegetables, Hunan academy of agricultural sciences, Changsha, 410125, China, yuanda road 2, 410128 changsha, China
Research institute of vegetables, Hunan academy of agricultural sciences, Changsha, 410125, China, yuanda road 2, 410128 changsha, China
Submission date: 2017-12-03
Final revision date: 2018-04-05
Acceptance date: 2018-04-16
Online publication date: 2019-01-09
Publication date: 2019-03-01
Pol. J. Environ. Stud. 2019;28(4):2215–2222
KEYWORDS
TOPICS
ABSTRACT
Screening and breeding of pollution-safe cultivars (PSCs) has become one of the most direct
and cost-effective methods for reducing the health risks of heavy metal-contaminated soil. In this
paper we identified and screened out cadmium (Cd)-pollution-safe pakchoi cultivars from 30 pakchoi
genetype materials through preliminary screening experiments and re-screening experiments in
field conditions. We found that in preliminary screening experiments, the Cd uptake displayed
significant variability among the 30 selected pakchoi cultivaters grown in soil with a Cd concentration of
0.51 mg/kg. 11 out of the 30 pakchoi cultivars belonged to the low-Cd accumulated cluster classified by
cluster analysis, which had the potential to be Cd-PSCs. The re-screening experiments under different Cd
levels of contaminated soils in combination with the studies of the enrichment factors (EFs) and translocation
factors (TFs) further confirmed the consistency and genotypic stability of the low-Cd accumulating traits
of the potential Cd-PSCs. This study proves the feasibility of applying cluster analysis in the process
of identifying PSCs.
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