Genetic diversity analysis of soybean (Glycine max (L.) Merr.) genotypes making use of  SSR markers

Kujane, K.; Sedibe, Moosa Mahmood; Mofokeng, Alina

doi:10.21475/ajcs.19.13.07.p1638

Cited by 11 publications

(10 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Genetic Diversity Studies of Soybean [Glycine max (L.) Merrill] Germplasm Accessions using Cluster and Principal Component Analysis extracted using the Principal Component Analysis approach by using the GRAPES software (Kujane et al 2019).…”

Section: Methodsmentioning

confidence: 99%

Genetic Diversity Studies of Soybean [Glycine max (L.) Merrill] Germplasm Accessions using Cluster and Principal Component Analysis

Sivabharathi¹,

Muthuswamy²,

Anandhi³

et al. 2023

View full text Add to dashboard Cite

Background: Soybean [Glycine max (L.) Merrill] is a self-pollinated diploid leguminous crop (2 n=40) originated from China. It is called as ‘Cow of the field’ or ‘Gold from soil’ because of high oil and protein content. The objective of the study is to determine genetic diversity using cluster and principal component analysis among 135 soybean germplasm. Methods: The experiment was conducted at the Department of Pulses, Tamil Nadu Agricultural University, Coimbatore during rabi, 2021-22. A total of 135 germplasm was laid down in augmented block design II. Principal component analysis and cluster analysis were performed to determine the genetic diversity among 135 soybean germplasm accessions using GRAPES and Ggt 2.0 software respectively. Result: Based on the cluster and principal components analysis, wide diversity were observed in MAUS 60, JS 98-61, MACS 1460, EC 18736 and PK 1038 genotypes and traits viz., number of clusters per plant, number of pods per plant and single plant yield contributed to divergence. The above mentioned genotypes and traits could be used for selection and future breeding programme.

show abstract

Section: Methodsmentioning

confidence: 99%

Genetic Diversity Studies of Soybean [Glycine max (L.) Merrill] Germplasm Accessions using Cluster and Principal Component Analysis

Sivabharathi¹,

Muthuswamy²,

Anandhi³

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The colour of the seed, plant height, seed colour pattern, seed shape and 100 seed weight were recorded at harvest. Using qualitative characters, hierarchical clustering was performed by calculating Euclidean distance and the cluster diagram was constructed by NJ (Neighbour Joining) dendogram using GGT 2.0 Software (Kujane et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Morphological characterization of early duration pigeonpea genotypes

2022

EJPB

View full text Add to dashboard Cite

The DUS test is an important tool for cataloguing the genotypes and utilization of variants in the crop improvement programme. In the present investigation, a total of 55 early duration pigeonpea genotypes were categorized by descriptors and cluster analysis for 21 agro morphological traits. Wide variations were observed in the characters viz., flower colour, a pattern of streaks, pod colour, seed colour, seed shape and size and no much variation was observed for the remaining traits. The traits viz., earliness and prominent type of pod constriction were identified in all the genotypes. The genotypes were partitioned into six clusters. Cluster I encompass 32 genotypes; cluster II consists of seven genotypes; four genotypes each were placed in clusters III and V; clusters IV and VI comprised of five and three genotypes, respectively. In the present study, the DUS descriptors and the variation observed in the early duration pigeonpea genotypes will form the basis for designing the pigeonpea improvement programme.

show abstract

“…The genotypes were scored for each trait based on the note values of the DUS characters given by PPV & FR, 2001. The morphological data were subjected to cluster analysis using GGT 2.0 Software (Kujane et al, 2019). The dendrogram was constructed using UPGMA tree clustering.…”

Section: Dusmentioning

confidence: 99%

Characterization of soybean [Glycine max(L.) Merrill] genotypes using DUS descriptors

2022

EJPB

View full text Add to dashboard Cite

A total of 70 soybean genotypes from the Ramaiah gene bank including five checks were evaluated for 14 qualitative and four quantitative traits based on DUS guidelines given by PPV& FR. Sixty-five genotypes and five check varieties were subjected to cluster analysis and were grouped into four major clusters with an average similarity of 77%. Cluster I consisted of 41 genotypes, cluster II had 15 genotypes, cluster III had nine genotypes and cluster IV had five genotypes. The study revealed an association between anthocyanin pigmentation in hypocotyl and flower colour. MACS 1254 was identified as the only genotype with a yellow green seed coat among 70 genotypes. According to the DUS, two genotypes viz., JS 76-1194 and JS (SH) 91-93 showed a lanceolate leaf shape. The distinct genotypes identified in the present study could be used in the breeding programme for the improvement of soybean.

show abstract

Genetic diversity analysis of soybean (Glycine max (L.) Merr.) genotypes making use of SSR markers

Cited by 11 publications

References 34 publications

Genetic Diversity Studies of Soybean [Glycine max (L.) Merrill] Germplasm Accessions using Cluster and Principal Component Analysis

Genetic Diversity Studies of Soybean [Glycine max (L.) Merrill] Germplasm Accessions using Cluster and Principal Component Analysis

Morphological characterization of early duration pigeonpea genotypes

Characterization of soybean [Glycine max(L.) Merrill] genotypes using DUS descriptors

Contact Info

Product

Resources

About