2021
DOI: 10.9734/jeai/2021/v43i930739
|View full text |Cite
|
Sign up to set email alerts
|

Principal Component Analysis Approach for Comprehensive Screening of Tomato Germplasm for Polyhouse Condition

Abstract: Yield and yield contributing attributes are the mostly targeted in tomato improvement programme so the existence of variability has prime importance in plant breeding. In this study 14 genotypes were assessed with principal component analyses (PCA) based on morphological and biochemical traits to select genotypes and traits for future breeding program. Based on the PCA with 21 traits, 14 components were formed however, 6 PCs had more than 1 Eigen value with the variability of 87.60%. So, these six PC were used… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 7 publications
0
2
0
Order By: Relevance
“…In contrast, Bhattarai et al (2016) reported linkage of PC1 with other traits like leaf type and days to maturity as the major traits determining the clustering pattern. Sinha et al (2021) indicated contribution of different traits in total variability in different principal components. The difference in pattern may be attributed to the constitution of germplasm collection.…”
Section: Principal Component Analysis (Pca)mentioning
confidence: 99%
“…In contrast, Bhattarai et al (2016) reported linkage of PC1 with other traits like leaf type and days to maturity as the major traits determining the clustering pattern. Sinha et al (2021) indicated contribution of different traits in total variability in different principal components. The difference in pattern may be attributed to the constitution of germplasm collection.…”
Section: Principal Component Analysis (Pca)mentioning
confidence: 99%
“…The seedling and germination stage of tomato is selected as the most sensitive stage for salinity . The genotypes, selected through the PCA based on various morphological (plant length, shoot length, root length, root fresh weight, root dry weight, shoot fresh weight, and shoot dry weight) and biochemical attributes (Na + content, K + content, and Na + /K + ratio), can help further in the hybridization program for the development of improved hybrids and genotypes, including their characteristics (Sinha et al, 2021). It is easy to select genotypes through PCA analysis on morphological and physiological attributes because these characters show the level of tolerance under salinity stress.…”
Section: Introductionmentioning
confidence: 99%