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Evaluation of Agronomic Performance and Genetic Diversity Analysis Using Simple Sequence Repeats Markers in Selected Wheat Lines

Crop improvement is the fundamental goal of plant biologists, and genetic diversity is the base for the survival of plants in nature. In this study, we evaluated 20 wheat lines for morphological and genetic diversity using eight simple sequence repeats markers from Wheat Microsatellite Consortium (W...

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Published in:Sustainability 2023-01, Vol.15 (1), p.293
Main Authors: Tahir, Osama, Bangash, Sajid Ali Khan, Ibrahim, Muhammad, Shahab, Sana, Khattak, Sahir Hameed, Ud Din, Israr, Khan, Muhammad Nauman, Hafeez, Aqsa, Wahab, Sana, Ali, Baber, Makki, Rania M, Harakeh, Steve
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description Crop improvement is the fundamental goal of plant biologists, and genetic diversity is the base for the survival of plants in nature. In this study, we evaluated 20 wheat lines for morphological and genetic diversity using eight simple sequence repeats markers from Wheat Microsatellite Consortium (WMC). Morphologically, variations were observed among all of the different wheat lines for the studied trait except for single spike weight. The highest values for different agronomic traits were recorded for the different wheat lines. The maximum days to heading were recorded for Borlaug-16 (128.3 ± 2.52 days). Similarly, days to maturity were recorded and were highest in Markaz-19 (182.3 ± 5.13 days), followed by Borlaug-16 (182.0 ± 4.58 days). The highest plant height was observed for Zincol-16 (122.3 ± 2.51 cm), followed by Markaz-19 (120.0 ± 14.79 cm) and Borlaug-16 (119.7 ± 6.8 cm). The productivity measured by 100-grain weight was highest in the case of Zincol-16 (84.0 ± 7.5 g). In contrast, wheat lines Shahkar, Sehar, and Farid-6 showed the lowest values for the traits tested. The results of genetic diversity revealed a total number of 16 alleles at eight SSR markers with an average of 2.00 ± 0.534 alleles per locus. Out of eight SSR markers, one marker (WMC105) was monomorphic, and six were dimorphic, showing two alleles at each locus. The maximum number of alleles (3) was observed for marker WMC78, in which genotypes AC and AA were predominantly found in high-yielding lines Borlaug-2016 and Zincol-2016 that were distantly related to other varieties. Zincol-2016 was also agronomically distinct from the rest of the 19 wheat lines. The results obtained from this study may be of importance for the scientific community to further explore the underlying genetic polymorphism associated high yielding varieties using marker-assisted selection for sustainable agriculture.
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In this study, we evaluated 20 wheat lines for morphological and genetic diversity using eight simple sequence repeats markers from Wheat Microsatellite Consortium (WMC). Morphologically, variations were observed among all of the different wheat lines for the studied trait except for single spike weight. The highest values for different agronomic traits were recorded for the different wheat lines. The maximum days to heading were recorded for Borlaug-16 (128.3 ± 2.52 days). Similarly, days to maturity were recorded and were highest in Markaz-19 (182.3 ± 5.13 days), followed by Borlaug-16 (182.0 ± 4.58 days). The highest plant height was observed for Zincol-16 (122.3 ± 2.51 cm), followed by Markaz-19 (120.0 ± 14.79 cm) and Borlaug-16 (119.7 ± 6.8 cm). The productivity measured by 100-grain weight was highest in the case of Zincol-16 (84.0 ± 7.5 g). In contrast, wheat lines Shahkar, Sehar, and Farid-6 showed the lowest values for the traits tested. 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subjects Abiotic stress
Agricultural production
Agricultural research
Agronomy
Alleles
Cereal crops
Chromosomes
Climate change
Crop improvement
Crop yields
Data analysis
Drought
Environmental aspects
Gene polymorphism
Genetic analysis
Genetic aspects
Genetic diversity
Genetic markers
Genomes
Genotype & phenotype
Genotypes
Germplasm
Loci
Marker-assisted selection
Morphology
Physiology
Polymorphism
Productivity
Seeds
Simple sequence repeats
Sustainability
Sustainable agriculture
Wheat
title Evaluation of Agronomic Performance and Genetic Diversity Analysis Using Simple Sequence Repeats Markers in Selected Wheat Lines
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