2023
DOI: 10.1007/s42535-023-00595-4
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Phenotypic diversity and trait association in cluster bean (Cyamopsis tetragonoloba)

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Cited by 2 publications
(4 citation statements)
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“…Thus these genotypes may be used in the future hybridization programme to get diverse sergeants in the improvement of cluster bean genotypes. These findings were supported by Padmavathi et al (2021) and Khatoon et al (2023).…”
Section: Principal Component Analysis (Pca)supporting
confidence: 76%
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“…Thus these genotypes may be used in the future hybridization programme to get diverse sergeants in the improvement of cluster bean genotypes. These findings were supported by Padmavathi et al (2021) and Khatoon et al (2023).…”
Section: Principal Component Analysis (Pca)supporting
confidence: 76%
“…The inter cluster distance estimated highest between cluster I and II (32.146), followed by between cluster I and III (31.006) and between cluster II and III (22.807), indicating the presence of broad divergence among the genotypes present in these clusters, therefore genotypes present in these cluster could be utilized as a parent for varietal development. These findings were supported by (Khatoon et al, 2023).…”
Section: Cluster Analysissupporting
confidence: 64%
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“…PCA can convert the original number of indicators that are related to one another into new global indicators that are less numerous and independent of one another, with little or no loss of original information [34]. PCA has been used to conduct a comprehensive assessment in peanut germplasm resources [26,55,65]. There were three new factors that were extracted following PCA in this study (Figure 5), which were yield and its constraints, the early flowering process, and the fullness of the seed.…”
Section: Pca Of Peanut Germplasm Resourcesmentioning
confidence: 99%