Genetic Diversity Among Varieties and Hybrid Lines of Pea (pisum sativuml.) as Revealed by Morphological Traits and SSR Markers

doi:10.21608/ejbo.2015.222

Cited by 3 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This result supports the use of DNA fingerprinting in estimating the genetic diversity of wheat cultivars, as molecular markers are abundant, easy to handle, and independent of environmental factors. Abdel-Lateif and Hewedy [ 45 ] and Badr et al [ 53 ] presented results supporting our conclusion that SCoT and ISSR markers produced higher polymorphism than SCoT markers and can be employed in wheat breeding programs to evaluate genetic diversity that may be used in producing new cultivars of more resilient to the environmental changes in the future.…”

Section: Discussionsupporting

confidence: 87%

Genetic diversity analysis in wheat cultivars using SCoT and ISSR markers, chloroplast DNA barcoding and grain SEM

et al. 2023

View full text Add to dashboard Cite

Background Wheat is a major cereal that can narrow the gap between the increasing human population and food production. In this connection, assessing genetic diversity and conserving wheat genetic resources for future exploitation is very important for breeding new cultivars that may withstand the expected climate change. The current study evaluates the genetic diversity in selected wheat cultivars using ISSR and SCoT markers, the rbcL and matK chloroplast DNA barcoding, and grain surface sculpture characteristics. We anticipate that these objectives may prioritize using the selected cultivars to improve wheat production. The selected collection of cultivars may lead to the identification of cultivars adapted to a broad spectrum of climatic environments. Results Multivariate clustering analyses of the ISSR and SCoT DNA fingerprinting polymorphism grouped three Egyptian cultivars with cultivar El-Nielain from Sudan, cultivar Aguilal from Morocco, and cultivar Attila from Mexico. In the other group, cultivar Cook from Australia and cultivar Chinese-166 were differentiated from four other cultivars: cultivar Cham-10 from Syria, cultivar Seri-82 from Mexico, cultivar Inqalab-91 from Pakistan, and cultivar Sonalika from India. In the PCA analysis, the Egyptian cultivars were distinct from the other studied cultivars. The rbcL and matK sequence variation analysis indicated similarities between Egyptian cultivars and cultivar Cham-10 from Syria and cultivar Inqalab-91 from Pakistan, whereas cultivar Attila from Mexico was distinguished from all other cultivars. Combining the data of ISSR and SCoT with the rbcL and matK results retained the close resemblance among the two Egyptian cultivars EGY1: Gemmeiza-9 and EGY3: Sakha-93, and the Moroccan cultivar Aguilal, and the Sudanese cultivar El-Nielain and between Seri-82, Inqalab-91, and Sonalika cultivars. The analysis of all data distinguished cultivar Cham-10 from Syria from all other cultivars, and the analysis of grain traits indicated a close resemblance between cv. Cham-10 from and the two Egyptian cultivars Gemmeiza-9 and Sakha-93. Conclusions The analysis of rbcL and matK chloroplast DNA barcoding agrees with the ISSR and the SCoT markers in supporting the close resemblance between the Egyptian cultivars, particularly Gemmeiza-9 and Sakha-93. The ISSR and SCoT data analyses significantly expressed high differentiation levels among the examined cultivars. Cultivars with closer resemblance may be recommended for breeding new wheat cultivars adapted to various climatic environments.

show abstract

Section: Discussionsupporting

confidence: 87%

Genetic diversity analysis in wheat cultivars using SCoT and ISSR markers, chloroplast DNA barcoding and grain SEM

et al. 2023

View full text Add to dashboard Cite

show abstract

Genetic diversity analysis of pea (Pisum sativum l.) landraces by utilizing simple sequence repeat markers

Arif,

Ali,

Alharthi

et al. 2024

Genet Resour Crop Evol

View full text Add to dashboard Cite

Assessment of genetic diversity of Pea (Pisum sativum L.) landraces using SSR markers

Arif¹,

Hussain

Ahmed³

et al. 2022

Preprint

View full text Add to dashboard Cite

Background The purpose of the current investigation was to distinguish 46 pea genotypes collected from different areas of Azad Jammu and Kashmir and NARC Islamabad. We initially experienced 20 SSR markers; 10 of these markers were choosen on the basis of high polymorphism information content in the molecular assays. Results The average number of the scorable bands per primer was 29.75% while average number of monomorphic and polymorphic bands was 16.25% and 12.85% respectively. The variations of genetic diversity among these genotypes ranged from 0.18 to 0.98. Maximum genetic diversity were noted in genotypes; M-39, L-29, L-32, L-1, L-5, L-8, L-11, L-24, L-19, L-17, L-25, L-23, L-37 and M-83, while using cluster analysis based on Dice coefficients as the unweighted pair-group method with arithmetic mean (UPGMA). Furthermore, principal component (PC) analysis also showed similar results as to those of UPGMA. The eight principal components (PC) accounted for 74.2% of the variation (21.74, 15.72, 8.76, 7.73, 6.19, 5.19, 4.50 and 4.37 for PC1, PC2, PC3, PC4, PC5, PC6, PC7 and PC8, respectively). Conclusion The results of the present study will be useful in understanding the pea’s genetic makeup and in the selection of suitable varied landraces for future improvement programmes in the pea.

show abstract

Genetic Diversity Among Varieties and Hybrid Lines of Pea (pisum sativuml.) as Revealed by Morphological Traits and SSR Markers

Cited by 3 publications

References 14 publications

Genetic diversity analysis in wheat cultivars using SCoT and ISSR markers, chloroplast DNA barcoding and grain SEM

Genetic diversity analysis in wheat cultivars using SCoT and ISSR markers, chloroplast DNA barcoding and grain SEM

Genetic diversity analysis of pea (Pisum sativum l.) landraces by utilizing simple sequence repeat markers

Assessment of genetic diversity of Pea (Pisum sativum L.) landraces using SSR markers

Contact Info

Product

Resources

About