Genetic divergence in tomato lines (Solanum lycopersicum L.)

Ullah, MZ; Hassan, Lutful; Singha, Tanoy; Patwary, AK

doi:10.3329/jbau.v13i1.28715

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…Hence, this genotype may be used in back crosses to enhance the number of primary branches and fruits though there are chances of linkage drag of smaller fruits. Clustering pattern of genotypes into different clusters has been reported earlier (Chernet et al, 2014a;Ullah et al, 2015). Clusters with single entry were observed in present study.…”

Section: Cluster Analysissupporting

confidence: 87%

“…Clusters with single entry were observed in present study. These genotypes are of particular importance due to various unique characters possessed by them (Ullah et al, 2015).) Differential clustering pattern obtained in different studies may be suggestive of inherent variability in the germplasm pool under investigation, environmental influences on the expression of different traits and genotypeenvironment interaction.…”

Section: Cluster Analysismentioning

confidence: 99%

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Genetic Diversity in Tomato (Solanum lycopersicum L.) based on Quantitative Traits

Bhandari¹,

Srivastava²,

Shreya³

2022

IJBSM

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Present investigation was conducted at Institute of Agricultural Sciences, Banaras Hindu University (BHU), Varanasi, Uttar Pradesh state, India during 2014−15 to assess the genetic diversity among 66 accessions of tomato maintained at Institute of Agricultural Sciences, Banaras Hindu University. The techniques of principal component analysis and D2 analysis were used for genetic diversity assessment. The analysis revealed significance of four principal components representing 70.12% of the total variability. Some of the important yield traits like average fruit weight, fruit yield plant-1 and number of locules fruit-1 were the most important traits in PC1 indicating that selection for diversity must be based on these traits. The correlation plot depicted that the traits plant height, number of fruits cluster-1 and number of fruits plant-1 were closely related to each other. Based on the scores of 1st and 2nd principal component, the genotypes were distributed in biplot. Most of the genotypes were congregated near the centre and revealed narrow genetic diversity existing among the germplasm accessions. The coordinates of the genotype EC 538380 indicated it as the most unique. The entries EC 538155, Pant T3, EC 521069, EC 538434 and EC 168283 were standing separate from the majority of entries. Cluster analysis also indicated congregation of most of the genotypes in one group. Overall, the study indicated limited genetic diversity in the test material.

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Section: Cluster Analysissupporting

confidence: 87%

Section: Cluster Analysismentioning

confidence: 99%

Genetic Diversity in Tomato (Solanum lycopersicum L.) based on Quantitative Traits

Bhandari¹,

Srivastava²,

Shreya³

2022

IJBSM

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“…The knowledge of diversity and genetic distance among groups of genotypes helps to identify parental lines for decision-making on hybridization programs. Clustering analysis has been widely used to investigate the diversity of germplasm pools in rice (Binodh et al, 2010;Mohanty et al, 2010;Subudhi et al, 2021), wheat (Ali et al, 2017), soybean (Jain et al, 2016), common bean (Al-Ballat & Al-Araby, 2019), tomato (Ullah et al, 2015) and chili (Yatung et al, 2014). This study was therefore designed to evaluate the physical and physiochemical quality characteristics of inbred varieties with diverse origins and released in different periods in North Vietnam to determine the level of genetic divergence through cluster analysis.…”

Section: Introductionmentioning

confidence: 99%

Genetic Divergence of Cultivated Rice Varieties in North Vietnam for Grain Quality Traits Using D2 Cluster Analysis

Thang

2022

vjas

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The study was carried out with twenty-four genotypes of rice during the Spring season, 2020 in Hanoi, Vietnam in order to exploit the attributes and divergence of quality properties from existing rice cultivars in North Vietnam. The rice genotypes were characterized based on ten quality parameters of milling, physical appearance and physiochemical characters using Mahalanobis D2 statistic. D2 analysis allocated the 24 genotypes into eight clusters, of which cluster I was the largest with 12 genotypes. The clustering showed the random distribution of genotypes into different clusters indicating that the origin and release duration were not related to the genetic diversity of grain quality. Among different traits, amylose content, length/width ratio and gel consistency were identified as topmost contributors in total divergence. Cluster I possessed a maximum intra-cluster value of 296.34 and the maximum inter-cluster distance was recorded between cluster IV and VI (2247.39) succeeded by cluster I and VI (2245.94) designing the members presented in these clusters can be exploited as potential donors in a breeding program to result good physicochemical quality traits in rice.

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Genetic divergence in tomato lines (Solanum lycopersicum L.)

Cited by 2 publications

References 1 publication

Genetic Diversity in Tomato (Solanum lycopersicum L.) based on Quantitative Traits

Genetic Diversity in Tomato (Solanum lycopersicum L.) based on Quantitative Traits

Genetic Divergence of Cultivated Rice Varieties in North Vietnam for Grain Quality Traits Using D2 Cluster Analysis

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