Association and principal component analysis of yield and its components in cultivated cotton

Isong, Abasianyanga; Balu, P. Amala; Ramakrishnan, Pavithra

doi:10.5958/0975-928x.2017.00140.5

Cited by 20 publications

(15 citation statements)

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“…The results of PCA in the current study are congruent with previous findings on cotton genotypes by other researchers (Saeed et al, 2015;Shabbir et al, 2016;Jamil et al, 2020). Out of the first four PCs the maximum contribution to the total variation residing in the experimental germplasm was from PC1 and PC2, which is in line with earlier reports related to PCA (Amna et al, 2013;Isong et al, 2017). The traits Car, CAT, SOD, TSP, POD, H2O2, STR, and BW, contributed to the first two PCs under both conditions (Javed et al, 2017).…”

Section: Discussionsupporting

confidence: 93%

Unraveling Heat Tolerance in Upland Cotton (Gossypium hirsutum L.) Using Univariate and Multivariate Analysis

et al. 2022

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The ever-changing global environment currently includes an increasing ambient temperature that can be a devastating stress for organisms. Plants, being sessile, are adversely affected by heat stress in their physiology, development, growth, and ultimately yield. Since little is known about the response of biochemical traits to high-temperature ambiance, we evaluated eight parental lines (five lines and three testers) and their 15 F1 hybrids under normal and high-temperature stress to assess the impact of these conditions over 2 consecutive years. The research was performed under a triplicate randomized complete block design including a split-plot arrangement. Data were recorded for agronomic, biochemical, and fiber quality traits. Mean values of agronomic traits were significantly reduced under heat stress conditions, while hydrogen peroxide, peroxidase, total soluble protein, superoxide dismutase, catalase (CAT), carotenoids, and fiber strength displayed higher mean values under heat stress conditions. Under both conditions, high genetic advance and high heritability were observed for seed cotton yield (SCY), CAT, micronaire value, plant height, and chlorophyll-a and b content, indicating that an additive type of gene action controls these traits under both the conditions. For more insights into variation, Pearson correlation analysis and principal component analysis (PCA) were performed. Significant positive associations were observed among agronomic, biochemical, and fiber quality-related traits. The multivariate analyses involving hierarchical clustering and PCA classified the 23 experimental genotypes into four groups under normal and high-temperature stress conditions. Under both conditions, the F1 hybrid genotype FB-SHAHEEN × JSQ WHITE GOLD followed by Ghuari-1, CCRI-24, Eagle-2 × FB-Falcon, Ghuari-1 × JSQ White Gold, and Eagle-2 exhibited better performance in response to high-temperature stress regarding the agronomic and fiber quality-related traits. The mentioned genotypes could be utilized in future cotton breeding programs to enhance heat tolerance and improve cotton yield and productivity through resistance to environmental stressors.

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Section: Discussionsupporting

confidence: 93%

Unraveling Heat Tolerance in Upland Cotton (Gossypium hirsutum L.) Using Univariate and Multivariate Analysis

et al. 2022

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“…The traits i.e., days to first square, flower, boll openingand fiber fineness displayed significant positive factor loadings in PC-I, while seed cotton yield and sympodia per plant had maximum negative loadings. Saeed et al (2014) and Isong et al (2017) also confirmed maximum contribution of sympodia per plant and yield in PC-I. Jarwar et al (2017) also confirmed maximum contribution of yield in PC-I while contrary findings were reported by Shakeel et al (2015).…”

Section: Principal Component and Cluster Analysesmentioning

confidence: 80%

Genetic Diversity among Cotton Genotypes for Earliness, Yield and Fiber Quality Traits using Correlation, Principal Component and Cluster Analyses

Sarwar¹,

Nazir²,

Rizwan³

et al. 2021

SJA

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In Pakistan cotton production is low due to many biotic and abiotic factors. While considering the demand and importance of cotton crop, the development of high yielding and superior quality cotton genotypes is Abstract | The upland cotton (G. hirsutum L.) is utmost natural fiber used in textile industry. Awareness about genetic diversity is very essential for fruitful genetic improvement approaches. Correlation, principal component analysis (PCA) and cluster analyses were performed to estimate genetic diversity in 25 cotton genotypes. Correlation analysis revealed that days to first square, flower and boll opening were positively associated with seed cotton yield. Staple length and CLCuV % were negatively associated with fiber fineness and yield respectively. In principal component analysis, four out of 14 principal components were selected with Eigen value ˃1. The four principal components contributed 79.9% towards variability. In PC-I, there was maximum positive factor loading of earliness traits, fiber fineness and negative factor loading of sympodia per plant and seed cotton yield. In PC-II, there was maximum positive factor loading of bolls per plant and GOT % while negative factor loading for CLCuV % and fiber length. A biplot between PC-I and PC-II showed that major contribution towards variability of fiber fineness and earliness traits among the studied genotypes. In cluster analysis, 25 genotypes were allocated in four clusters. Cluster-I was the largest by having 10 genotypes while clusters-III and IV each having six genotypes, and cluster-II was the smallest having three genotypes.

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“…It is grown in over 80 countries throughout the world with an annual production of over 20 million tonnes, contributing to commerce and investment as well as increasing GDP (Saeed et al 2014). According to Isong et al 2017, hybrids account for 45 percent of total acreage and 55 percent of total cotton output in India. The goal of optimizing yield in interspecific cotton crosses has yet to be realized to maximize reported production potential (Isong et al 2017 andThiyagu et al 2010).…”

Section: Introductionmentioning

confidence: 99%

“…According to Isong et al 2017, hybrids account for 45 percent of total acreage and 55 percent of total cotton output in India. The goal of optimizing yield in interspecific cotton crosses has yet to be realized to maximize reported production potential (Isong et al 2017 andThiyagu et al 2010). The correlation coefficient is wellknown for determining the relationship between components required for selection, but as more traits are included and also with indirect relationships between traits, the complexity of the relationship between them increases.…”

Section: Introductionmentioning

confidence: 99%

Genetic studies of correlation and path coefficient analysis for yield and fibre quality traits in cotton (Gossypium hirsutum L.)

Keerthivarman¹

2022

YMER

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Sixteen Line × Tester hybrids were studied to better understand yield component relationships. The number of bolls per plant and boll weight had a substantial positive correlation and a high direct influence on seed cotton yield per plant, according to both association and route analysis analyses. Finally, selecting some features, such as number of bolls per plant and boll weight, directly impacts seed cotton yield per plant. Furthermore, number of bolls per plant had a substantially favourable indirect influence on number of sympodial branches per plant, micronaire value, and lint index through number of sympodial branches per plant, micronaire value, and lint index. The lint index had a significant indirect impact on the seed index. Selection based on these qualities indirectly increases seed cotton output per plant by a large margin. As a result, the yield and yield potential have improved. Key words: Path analysis, Cotton, Correlation co-efficient and Gossypium hirsutum L

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Association and principal component analysis of yield and its components in cultivated cotton

Cited by 20 publications

References 0 publications

Unraveling Heat Tolerance in Upland Cotton (Gossypium hirsutum L.) Using Univariate and Multivariate Analysis

Unraveling Heat Tolerance in Upland Cotton (Gossypium hirsutum L.) Using Univariate and Multivariate Analysis

Genetic Diversity among Cotton Genotypes for Earliness, Yield and Fiber Quality Traits using Correlation, Principal Component and Cluster Analyses

Genetic studies of correlation and path coefficient analysis for yield and fibre quality traits in cotton (Gossypium hirsutum L.)

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