5 research outputs found

    Differential Response of Sunflower Maintainer and Restorer Inbred Lines to Salt Stress

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    In order to identify of salt tolerant sunflower inbred lines a set of 24 inbred lines were evaluated as a randomized block design with three replications in Isfahan and Zabol in 2017. Salt stress was imposed following seedlings establishment 20 days after planting as irrigation with two (fresh water) and 8 ds.m-2 electrical conductivity. According to the results, there were significant differences among locations and also salt treatment for all measured traits except for flowering time and oil content. There were also significant differences among inbred lines for all of the characteristics which could be used a source for improvement of salt tolerance in sunflower. Salt stress had a negative impact on agronomic futures of the inbred lines. Achene and oil yield had suffered more than other traits with 34 and 31%25 reduction respectively. Phenological traits were affected less than agronomic traits. The inbred lines BGK259 and RGK38 had the highest and lowest achene and oil yield respectively. Three lines BGK259, BGK369 and BGK375 with higher STI expressed as more salt tolerant lines. All 12 maintainer lines had a higher STI than all the 12 restorer lines and were more tolerant. Among the restorers RGK22, RGK15 and RGK2 were more salt tolerant than others. In accordance with STI, TOL and GM indices, principal component analysis differentiated BGK259, BGK369 and BGK375 as the most salt tolerant inbred lines

    International Journal of Farming and Allied Sciences Evaluation of yield and morpho-phenological traits of sesame cultivars under drought stress

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    ABSTRACT: In order to evaluate the yield and morpho-phenological traits of sesame cultivars and lines under drought conditions, 16 genotypes were evaluated in two separate experiments, under drought stress of season's end and non-stress conditions in a randomized complete block design with three replications in crop year [2008][2009]. The results showed that the cultivars and lines were different in both conditions for yield and morpho-phenological traits. Under drought stress of season's end conditions, the yield of sesame genotypes declined from 853 to 564 kg/ha. The lines of "TS-3" and "Darab 14" in nonstress conditions, had the highest grain yield but in stress conditions cultivars of "Darab14" and "Sistan local", had the highest grain yield. Although phenological traits of cultivars and lines were not statistically significant in drought stress of season's end, but the change process was decreasingly

    Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches

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    Abstract Selection and breeding for high‐yielding in oilseed rape have always been one of the leading objectives for oilseed rape breeders. This process becomes more complicated when all quantitative traits are considered in selection in addition to grain yield. In the present study, 18 oilseed rape genotypes along with 2 check cultivars (RGS003 and Dalgan) were evaluated across 16 environments (a combination of 2 years and eight locations) in the tropical climate regions of Iran during 2018–2019 and 2019–2020 cropping seasons. The experiments were conducted in a format of randomized complete block design (RCBD) with three replications. The obtained multienvironmental trial data were utilized to conduct multivariate analysis, genotype by trait (GT) biplot, and genotype by yield*trait (GYT) biplot (Breeding, Genetics and Genomics, 1:2019). The GT and GYT biplot accounted for 55.5% and 93.6% of the total variation in the first two main components. Based on multivariate analysis and GT biplot, pod numbers in plant (PNP) and plant height (PH) were chosen as two key traits in spring oilseed rape genotypes for indirect selection due to high variation, strong positive correlation with grain yield (GY), and their high representatively and discriminability in genotype selection. The mean × stability GT biplot represented G10 (SRL‐96‐17) as the superior genotype. Based on the mean × stability GYT biplot, eight above‐average genotypes were identified that took high scores in stability, high‐yielding, and all evaluated quantitative traits at the same time. Based on the superiority index of GYT data, G10 (SRL‐96‐17) and G5 (SRL‐96‐11) indicated the best yield–trait combinations profile and ranked above check cultivars and then selected as superior genotypes. Similarly, cluster analysis using the WARD method also separated eight superior genotypes. Based on the result of the present study, GT ad GYT methodologies are recommended for trait profiling and genotype selection in oilseed rape breeding projects, respectively
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