Evaluation of sugar beet genotypes for root traits by principal component analysis and cluster analysis
Апстракт
Sugar beet is the most important crop for sugar production in Europe. Wide genetic variability is essential in sugar beet breeding programs. The aim of this study is to evaluate variability for the main root traits and differences between monogerm and multigerm sugar beet genotypes from the breeding collection at the Institute of Field and Vegetable Crops. The following traits were analyzed: root weight (g), dry matter content (%), root head weight (g), root/head ratio (%), number of cambial rings, root length (cm) and root diameter (cm). Mean values for two years per genotype were standardized and used for analysis. Principal Component Analysis (PCA) and Cluster Analysis (CA) were used to examine the level of diversity for 20 genotypes and to rank the contributions of the variables. According to CA genotypes could be placed into five main groups, where a large number of multigerm genotypes were put in one group. On average multigerm genotypes were characterized by higher mean values f...or root weight, length, diameter and lower root head ratio. Multigerm genotypes had higher coefficients of variation for nearly all measured root traits.
Кључне речи:
multivariate analysis / root / sugar beetИзвор:
Genetika-Belgrade, 2016, 48, 1, 339-348Издавач:
- Društvo genetičara Srbije, Beograd
Финансирање / пројекти:
- Побољшање линија, хибрида и технологије гајења шећерне репе (RS-MESTD-Technological Development (TD or TR)-31015)
DOI: 10.2298/GENSR1601339D
ISSN: 0534-0012
WoS: 000376744800027
Scopus: 2-s2.0-84971273027
Колекције
Институција/група
FiVeRTY - JOUR AU - Danojević, Dario AU - Ćurčić, Živko AU - Nagl, Nevena AU - Taški-Ajduković, Ksenija AU - Boćanski, Jan PY - 2016 UR - http://fiver.ifvcns.rs/handle/123456789/1546 AB - Sugar beet is the most important crop for sugar production in Europe. Wide genetic variability is essential in sugar beet breeding programs. The aim of this study is to evaluate variability for the main root traits and differences between monogerm and multigerm sugar beet genotypes from the breeding collection at the Institute of Field and Vegetable Crops. The following traits were analyzed: root weight (g), dry matter content (%), root head weight (g), root/head ratio (%), number of cambial rings, root length (cm) and root diameter (cm). Mean values for two years per genotype were standardized and used for analysis. Principal Component Analysis (PCA) and Cluster Analysis (CA) were used to examine the level of diversity for 20 genotypes and to rank the contributions of the variables. According to CA genotypes could be placed into five main groups, where a large number of multigerm genotypes were put in one group. On average multigerm genotypes were characterized by higher mean values for root weight, length, diameter and lower root head ratio. Multigerm genotypes had higher coefficients of variation for nearly all measured root traits. PB - Društvo genetičara Srbije, Beograd T2 - Genetika-Belgrade T1 - Evaluation of sugar beet genotypes for root traits by principal component analysis and cluster analysis EP - 348 IS - 1 SP - 339 VL - 48 DO - 10.2298/GENSR1601339D ER -
@article{ author = "Danojević, Dario and Ćurčić, Živko and Nagl, Nevena and Taški-Ajduković, Ksenija and Boćanski, Jan", year = "2016", abstract = "Sugar beet is the most important crop for sugar production in Europe. Wide genetic variability is essential in sugar beet breeding programs. The aim of this study is to evaluate variability for the main root traits and differences between monogerm and multigerm sugar beet genotypes from the breeding collection at the Institute of Field and Vegetable Crops. The following traits were analyzed: root weight (g), dry matter content (%), root head weight (g), root/head ratio (%), number of cambial rings, root length (cm) and root diameter (cm). Mean values for two years per genotype were standardized and used for analysis. Principal Component Analysis (PCA) and Cluster Analysis (CA) were used to examine the level of diversity for 20 genotypes and to rank the contributions of the variables. According to CA genotypes could be placed into five main groups, where a large number of multigerm genotypes were put in one group. On average multigerm genotypes were characterized by higher mean values for root weight, length, diameter and lower root head ratio. Multigerm genotypes had higher coefficients of variation for nearly all measured root traits.", publisher = "Društvo genetičara Srbije, Beograd", journal = "Genetika-Belgrade", title = "Evaluation of sugar beet genotypes for root traits by principal component analysis and cluster analysis", pages = "348-339", number = "1", volume = "48", doi = "10.2298/GENSR1601339D" }
Danojević, D., Ćurčić, Ž., Nagl, N., Taški-Ajduković, K.,& Boćanski, J.. (2016). Evaluation of sugar beet genotypes for root traits by principal component analysis and cluster analysis. in Genetika-Belgrade Društvo genetičara Srbije, Beograd., 48(1), 339-348. https://doi.org/10.2298/GENSR1601339D
Danojević D, Ćurčić Ž, Nagl N, Taški-Ajduković K, Boćanski J. Evaluation of sugar beet genotypes for root traits by principal component analysis and cluster analysis. in Genetika-Belgrade. 2016;48(1):339-348. doi:10.2298/GENSR1601339D .
Danojević, Dario, Ćurčić, Živko, Nagl, Nevena, Taški-Ajduković, Ksenija, Boćanski, Jan, "Evaluation of sugar beet genotypes for root traits by principal component analysis and cluster analysis" in Genetika-Belgrade, 48, no. 1 (2016):339-348, https://doi.org/10.2298/GENSR1601339D . .