The improvement of sugar-related factors is associated with root traits in sugar beet. The objectives of the present study were to assess variations of sugar- and root yield (RY)-related traits and to estimate general (GCA) and specific (SCA) combining abilities of several lines, testers and hybrids under various environmental conditions. A line × tester mating design was used to develop 28 hybrids from seven lines × four testers. Presently, root- and sugar-related traits were recorded in parental lines, hybrids and five local ('Pars', 'Torbat' and 'Ekbatan') and international ('Kermit' and 'Tous') check varieties in the eight combinations of location and growing season. Mean RY and sugar yield (SY) were 44.81 t/ha and 7.57 t/ha, respectively. Genotypes tested had 16.91% sugar content (SC) and 13.64% white sugar content (WSC) across trials. No one genotype was found to have high levels for all traits, but several had above mean sugar-related or RY traits. L7T2 as the best hybrid for RY and SY yielded 37.0% and 34.4% more than the checks’ mean, whereas ratios for the best hybrid (L7T4) for SC and WSC were 8.2% and 4.3%, respectively. Additive variance was significant for all traits, whereas dominance component was only significant for RY. Several parental lines had stable GCA effects with respect to direction and magnitude for WSC, RY and SC in environments. L7 and T2 for RY and SY and L3 and T4 for SC and WSC were identified as the best combiners with high GCA effects, and their use might increase favourable alleles in further breeding programmes for traits tested. Estimated heritability for the combined environments was lower for sugar-related traits (54.01%–59.39%) compared with those for RY traits (73.68%–74.21%). Overall, given heritability and additive variances estimated the identification of environmentally stable GCA and SCA effects and might help to increase efficiency of selection of superior cultivars with respect to sugar traits.
Combining abilities of sugar beet genotypes for root- and sugar-related traits under multi-environment trials
Heidari B.;Stevanato P.
2020
Abstract
The improvement of sugar-related factors is associated with root traits in sugar beet. The objectives of the present study were to assess variations of sugar- and root yield (RY)-related traits and to estimate general (GCA) and specific (SCA) combining abilities of several lines, testers and hybrids under various environmental conditions. A line × tester mating design was used to develop 28 hybrids from seven lines × four testers. Presently, root- and sugar-related traits were recorded in parental lines, hybrids and five local ('Pars', 'Torbat' and 'Ekbatan') and international ('Kermit' and 'Tous') check varieties in the eight combinations of location and growing season. Mean RY and sugar yield (SY) were 44.81 t/ha and 7.57 t/ha, respectively. Genotypes tested had 16.91% sugar content (SC) and 13.64% white sugar content (WSC) across trials. No one genotype was found to have high levels for all traits, but several had above mean sugar-related or RY traits. L7T2 as the best hybrid for RY and SY yielded 37.0% and 34.4% more than the checks’ mean, whereas ratios for the best hybrid (L7T4) for SC and WSC were 8.2% and 4.3%, respectively. Additive variance was significant for all traits, whereas dominance component was only significant for RY. Several parental lines had stable GCA effects with respect to direction and magnitude for WSC, RY and SC in environments. L7 and T2 for RY and SY and L3 and T4 for SC and WSC were identified as the best combiners with high GCA effects, and their use might increase favourable alleles in further breeding programmes for traits tested. Estimated heritability for the combined environments was lower for sugar-related traits (54.01%–59.39%) compared with those for RY traits (73.68%–74.21%). Overall, given heritability and additive variances estimated the identification of environmentally stable GCA and SCA effects and might help to increase efficiency of selection of superior cultivars with respect to sugar traits.Pubblicazioni consigliate
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