Comprehensive evaluation of sugar beet genotypes for yield and relative traits by multivariate analysis | ||
| SVU-International Journal of Agricultural Sciences | ||
| Article 8, Volume 3, Issue 1, January 2021, Pages 96-111 PDF (446.59 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/svuijas.2021.58999.1072 | ||
| Authors | ||
| E.M. Mehareb* ; H.M.Y. EL-Bakary; Fouz F.M. Abo elenen | ||
| Sugar Crops Research Institute, Agriculture Research Center, Egypt | ||
| Abstract | ||
| Among few methods suggested for evaluation of the genotype – environment interactions (GE interaction), the AMMI method (Additive main Effect and Multiplicative Interaction) is the most instructive model. The objective of this experiment was to estimate the G×E interaction in sugar beet varieties of stability and adaptability through different environments using the AMMI model. As well as cluster analysis was automated to identify the interrelationships among the tested varieties, also Principal component analysis (PCA) was used to define the relationship between the studied traits. Twenty genotypes of sugar beet were evaluated at two locations (El- Dakahlia and El- Fayoum stations) in Egypt in two seasons (2018/19 and 2019/20). A randomized complete block design with three replications was used in each environment. Results showed that the AMMI analysis of variance was highly significant differences for the environment, variety and their interactions. Based on AMMI model, Glorius, Florima, Capel, Belatos, Classic and Toro genotypes in EN3 (Dakahlia 2019/2020), have the highest sugar yield, respectively. Results of cluster analysis demonstrated an extensive genetic diversity among the tested varieties, also the 1st sub cluster, (cluster I) was recorded high values of root weight, length, diameter and total weight. cluster II (Farida, TORO, Capel, Florima, Betamax, Glorius ) recorded the highest root and sugar yield, which led to increase of 106.66% and 112.91% higher than that compared with cluster V (Lilly, Heba, Mirador). According to PCA results, PCA1 accounted for 69.5% of the total phenotypic variation expressed and PCA2 accounted for 27.03% of the variation. | ||
| Keywords | ||
| AMMI; Principal component analysis; Sugar beet genotypes | ||
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