2012
DOI: 10.5897/ajb10.1738
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Molecular characterisation of Musa L. cultivars cultivated in Malawi using microsatellite markers

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Cited by 8 publications
(18 citation statements)
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“…The major allele frequency of 0.220 (0.100-0.450) generated from SSR markers (Nyine et al 2017) was found similar to the ones (0.171; 0.046-0.454) obtained in this study, and this shows the effectiveness of CDDP markers in exploring the allelic richness of this vital crop. The identified gene diversity of 0.924 (0.782-0.976) was higher than the previously reported ones obtained with SSR markers (Poerba and Ahmad 2010;Changadeya et al 2012;Nyine et al 2017). The identified PIC was high enough and contributed to the resolution of even the closest accessions and genomic groups.…”
Section: Discussionmentioning
confidence: 51%
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“…The major allele frequency of 0.220 (0.100-0.450) generated from SSR markers (Nyine et al 2017) was found similar to the ones (0.171; 0.046-0.454) obtained in this study, and this shows the effectiveness of CDDP markers in exploring the allelic richness of this vital crop. The identified gene diversity of 0.924 (0.782-0.976) was higher than the previously reported ones obtained with SSR markers (Poerba and Ahmad 2010;Changadeya et al 2012;Nyine et al 2017). The identified PIC was high enough and contributed to the resolution of even the closest accessions and genomic groups.…”
Section: Discussionmentioning
confidence: 51%
“…The primers of the CDDP markers demonstrated high level of PIC (0.918) ranging from 0.768 to 0.975, whereas 0.870 with a range of 0.530 to 0.950, were obtained as PIC and mean respectively, from SSR markers (Nyine et al 2017). Also, in a study of 38 triploid accessions analyzed with 19 microsatellite markers, PIC of 0.850 (0.760-0.942) was obtained (Christelova et al 2011;Changadeya et al 2012). In comparison with our findings, lower value of PIC of 0.827 (0.625-0.936) was generated from the analysis of 70 diploid accessions with 19 microsatellite loci (Christelova et al 2011).…”
Section: Discussionmentioning
confidence: 92%
“…The difference in genetic diversity could be attributed to differences in mutation rates within populations occurring in varying geographical areas (Changadeya et al 2012). In addition, different anthropogenic factors and natural phenomenon such as death due to drought, fungal diseases and destruction by elephants have shaped genetic diversity within the populations (Guy (1971;Wilson 1988;Edkins et al 2007).…”
Section: Allelic Diversitymentioning
confidence: 99%
“…In this sense, different works have been carried out for characterization of SSR markers from M. balbisiana (Buhariwalla et al, 2005;Ravishankar et al, 2013;Wang et al, 2011) and M. acuminata (Amorim et al, 2012;Creste et al, 2006;Crouch et al, 1997Crouch et al, , 1998Miller et al, 2010;Wang et al, 2010), whereas other studies have been focused on the development of SSR markers suitable for analysis of both species and/or hybrid cultivars (Brisibe & Ubi, 2020;Kaemmer et al, 1997;Lagoda et al, 1998;Ravishankar et al, 2012;Silva et al, 2015). In other publications, sets of primers previously developed have been used for molecular characterization of Musa varieties (Bawin et al, 2019;Durai et al, 2018;Grapin et al, 1998), including cultivars from certain regions as Brazil (Creste et al, 2003(Creste et al, , 2004, Malawi (Changadeya et al, 2012), East Africa (Nzawele et al, 2018;Onyango et al, 2008;Perrier et al, 2019), Indonesia (Retnoningsih et al, 2009), the Philippines (dela Cruz et al, 2020) or Tanzania (Mgonja et al, 2020). Moreover, SSRs have been used to obtain a saturated genome map of M. acuminata (Hippolyte et al, 2010), to investigate genetic variability between M. acuminata mutants resistant to salinity (Miri et al, 2014) or to assess the identification of Musa accessions in reference DNA collections (Christelová et al, 2011).…”
Section: Introductionmentioning
confidence: 99%