Plant Genetic Research
Scientific Journal

Grouping of Rice Genotypes Based on Grain Iron, Zinc, Manganese and Protein and Performance Measurement of Linked Microsatellite Markers

Document Type : Original Article

Authors

Elham Nasiri 1
Atefeh Sabouri S. 1
Akbar Forghani 2
Masoud Esfahani 1

1 Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran

2 Department of Soil Science, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran

https://doi.org/10.29252/pgr.5.2.73
Abstract
In order to select the best parents for crossings, plant breeders seek varieties or genotypes with highest
genetic dissimilarities. This can be achieved by measuring the similarities among genotypes, using
multivariate analysis methods such as cluster analysis. This study aimed to group 50 aerobic and
lowland rice genotypes based on biochemical characteristics including Iron, Zinc, Manganese and
protein, and their linked DNA markers. According to the cluster analysis results using Ward method,
the genotypes were assigned to four groups. The third group, as the smallest group including three
genotypes (IR82635-B-B-82-2, Caiapo, and Gohar), had the highest value for these micronutrients.
Their mean value for Iron, Zinc, Manganese, and protein were 32.39, 34.15, 25.66 mg/kg and 6.71%,
respectively. Also, all genotypes were classified into two main groups based on microsatellite markers
information, that according to QTL mapping studies these markers were identified as linked to
elements. So, the most of non-local genotypes and aerobic rice cultivars were assigned in a separate
group. The correlation between Euclidean distance of elements and protein matrix and genetic
similarity matrix (Nie) using Mental correlation test was estimated significant (p<0.01) that can be
evidence of a genetic relationship between the SSR markers and genome controlling regions of
elements in this population.

Keywords

Rice
Cluster analysis
Aerobic
Biochemical elements
Lowland
Plant Genetic Research
Volume 5, Issue 2
December 2018
Pages 73-84

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