STATISTICAL AND GENETICAL EVALUATION OF FIFTEEN SUGAR BEET GENOTYPES UNDER THREE SOWING DATES
Abstract: The present investigation was carried out during 2011/2012 and 2012/2013 at Snores region, El-Fayum Governorate, to evaluate fifteen sugar beet genotypes under different sowing dates. These genotypes were planted at three different dates for each year (at 15th September, 15th October and 15th November). The results showed significant differences between sowing dates for all traits under study, except root length and weight in the 1st season as well as, purity in both seasons. Sugar beet genotypes recorded the highest values at early sowing dates for yields of root and sugar in both seasons. Pleno, Samba, Sultan and Farida genotypes had the highest root and sugar yield values in both seasons. But in case delaying the sowing date, it could be used the Barca, Caple, Samba and Farida genotypes. Therefore, Samba and Farida genotypes had high root and sugar yield values in most cases. Differences between phenotypic and genotypic coefficient of variability were observed for all the descriptors for both years. Improvement in yields of foliage and root, as well as root weight and diameter traits can be achieved through mass selection. High values of heritability and genetic advance for these traits could be attributed to that such traits controlled by additive gene effects, indicating that selection for such traits might be effective for the improvement of root and sugar yield. Simple correlation, multiple linear regression and factor analysis were used to study the relationship between sugar beet yield and its components under three planting dates. The results revealed that root yield was positively and highly significant correlated with all traits under study, except root length and purity. These findings indicate that selection for root diameter, root weight, no. of root cycle, total soluble solids percentage, Sucrose percentage, sugar yield and foliage yield traits would be accompanied by high yielding ability under such conditions. Full model regression including all traits recorded R2 = 96.6% of the total variation within the root yield components. Factor analysis showed that factor one had four variables (no. of root cycles and yields of foliage, root and sugar). Hence these traits could be used for the improvement of yield resulting in the evolution of high yielding sugar beet.
Publication year 2013
Pages 59-81
Organization Name
Author(s) from ARC
External authors (outside ARC)
    صلاح رفاعى إمام الشيخ معهد بحوث المحاصيل السكرية – مركز البحوث الزراعية
Publication Type Researsh & Applied Activities
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