Cluster analysis on introduced soybean variety specimens

\nThe research presented in the article includes the analysis of several grapevine varieties, focusing on their resistance to drought. Among the varieties studied are CH27(-266), CH3(-008), and US-44(-641), which were subjected to thorough examination. Additionally, a cluster of varieties including CH28(-268), KO20, CH7(-014), US-14(-382), CH11(-018), and KO18 was identified as being resistant to drought stress. The analysis of these varieties was conducted using cluster dendrogram analysis, which confirmed the findings of previous studies. This method helps to visualize the similarities and differences between varieties based on multiple traits, allowing researchers to identify patterns and groupings within the data. By using cluster analysis, researchers were able to determine the level of mutual affinity among the cross-breeding forms. This analysis revealed a high variability of valuable traits for the economy, indicating the potential for separating recombinants with a positive set of these traits. This information is crucial for grapevine breeders and researchers, as it can guide them in selecting the most optimal combinations for breeding programs aimed at developing drought-resistant grape varieties.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-08-30
DOI
https://doi.org/10.1051/e3sconf/202456303036/pdf
Primary Topic
Statistical Methods and Applications
Type
article
Field-Weighted Citation Impact
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article

Cluster analysis on introduced soybean variety specimens

Springer Link (Chiba Institute of Technology)
Statistical Methods and Applications
article

Cluster analysis on introduced soybean variety specimens

article en

Abstract

\nThe research presented in the article includes the analysis of several grapevine varieties, focusing on their resistance to drought. Among the varieties studied are CH27(-266), CH3(-008), and US-44(-641), which were subjected to thorough examination. Additionally, a cluster of varieties including CH28(-268), KO20, CH7(-014), US-14(-382), CH11(-018), and KO18 was identified as being resistant to drought stress. The analysis of these varieties was conducted using cluster dendrogram analysis, which confirmed the findings of previous studies. This method helps to visualize the similarities and differences between varieties based on multiple traits, allowing researchers to identify patterns and groupings within the data. By using cluster analysis, researchers were able to determine the level of mutual affinity among the cross-breeding forms. This analysis revealed a high variability of valuable traits for the economy, indicating the potential for separating recombinants with a positive set of these traits. This information is crucial for grapevine breeders and researchers, as it can guide them in selecting the most optimal combinations for breeding programs aimed at developing drought-resistant grape varieties.\n

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 66%
Statistical Methods and Applications
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Cluster analysis on introduced soybean variety specimens · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS