2017
DOI: 10.1007/s12892-017-0001-0
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Genetic relationships among Iranian and exotic safflower using microsatellite markers

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Cited by 14 publications
(15 citation statements)
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References 19 publications
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“…Ebrahimi et al (2016) determined genotypes with acceptable performance in safflower germplasm using the additive main effects and multiplicative interaction (AMMI) biplot. The PCA biplot clearly clarified visual differentiation among the safflower genotypes based on SSR marker (Bahmankar et al, 2017). In the present study, genotypes OP17 (late maturing = high PC3) and OP18 (early maturing = low PC3) from OP population had relatively high performance in comparison with the other genotypes.…”
Section: Discussionsupporting
confidence: 60%
“…Ebrahimi et al (2016) determined genotypes with acceptable performance in safflower germplasm using the additive main effects and multiplicative interaction (AMMI) biplot. The PCA biplot clearly clarified visual differentiation among the safflower genotypes based on SSR marker (Bahmankar et al, 2017). In the present study, genotypes OP17 (late maturing = high PC3) and OP18 (early maturing = low PC3) from OP population had relatively high performance in comparison with the other genotypes.…”
Section: Discussionsupporting
confidence: 60%
“…In the study of PCA in 20 safflower cultivars by Bahmankar et al . (2017), around 80% of the total variance in the data was explained by three components, where the contribution of the first, second and third components was 34, 32 and 14%, respectively. In their study, the first component was designated as yield and yield components (traits including head diameter, single plant yield, 1000-grain weight and the number of grains per head).…”
Section: Discussionmentioning
confidence: 95%
“…The second component as phenological traits components (days to 50% flowering, days to initiation of flowering and days to maturity). Also, the third component was nominated as the plant architecture component (number of heads per plant and height) (Bahmankar et al ., 2017). Based on the findings of Bahmankar et al .…”
Section: Discussionmentioning
confidence: 99%
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“…Nesse contexto, a avaliação da variabilidade genética com o uso de marcadores é primordial para exploração dos recursos genéticos em programas de melhoramento de plantas (Saadaoui et al, 2017). A diversidade genética pode ser avaliada usando diferentes marcadores (bioquímicos, morfológicos e moleculares), sendo que a variação genética no nível do DNA constitui uma excelente ferramenta para a obtenção de informações contidas no genoma de um indivíduo (Vieira et al, 2008;Bahmankar et al 2017).…”
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