Logo image
Genetic diversity and distinctness based on morphological and SSR markers in peanut
Journal article   Open access   Peer reviewed

Genetic diversity and distinctness based on morphological and SSR markers in peanut

Yanbin Hong, Manish K. Pandey, Qing Lu, Hao Liu, Sunil S. Gangurde, Shaoxiong Li, Haiyan Liu, Haifen Li, Xuanqiang Liang, Rajeev K. Varshney, …
Agronomy journal, Vol.113(6), pp.4648-4660
2021
pdf
Published1.69 MBDownloadView
CC BY V4.0 Open Access

Abstract

Agriculture Agronomy Life Sciences & Biomedicine Science & Technology
The morphological and molecular diversity of 101 peanut varieties from South China were analyzed to identify distinctness among these varieties. No significant difference was observed for six morphological characteristics whereas a range of 0.25-0.51 of diversity index was observed for 11 morphological characteristics, with an average value of 0.39. Molecular characterization with 40 highly polymorphic simple sequence repeats (SSRs) generated a total of 167 alleles ranging from two to six alleles per marker with average 4.18 alleles per marker. The polymorphism information content (PIC) of these markers varied from 0.79 to 0.26 with an average value of 0.55 per marker. The diversity analysis using morphological and genotyping data grouped all the varieties into seven and six clusters, respectively, and varieties released by the same province tended to be grouped in the same cluster. Mantel testing revealed that the correlations between the similarity coefficient matrixes of the morphological characteristics and SSR markers of different varieties were weak (r = .347), implying that deployment of more SSR markers is needed for achieving distinctness among these peanut varieties. Nevertheless, the combination of morphological characteristics and SSR markers will effectively increase the accuracy of distinctiveness identification.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#12 Responsible Consumption & Production

Metrics

4 File views/ downloads
19 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
3 Agriculture, Environment & Ecology
3.4 Crop Science
3.4.96 QTL
Web Of Science research areas
Agronomy
ESI research areas
Agricultural Sciences
Logo image