Marker-Assisted Breeding

Yoon, Jae Bok; Kwon, Soon Jae; Ham, Tae-Ho; Kim, Sunggil; Thomson, Michael J.; Hechanova, Sherry Lou; Jena, Kshirod K.; Park, Young-Hoon

doi:10.1007/978-94-017-9996-6_4

Cited by 7 publications

(5 citation statements)

References 102 publications

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“…Genetic improvement of sweetpotato through traditional plant breeding is difficult due to its polyploid nature, genetic complexity, and high variability with regard to flower production and incompatibility ( Jones et al, 1986 ). Generating additional (and leveraging existing) genomic resources would aid efforts to identify the molecular basis of phenotypic variation and advance the design of efficient and effective marker-assisted breeding strategies ( Yoon et al, 2015 ). Marker-assisted breeding allows assessment of young plants at the seedling stage for multiple traits of interest, greatly reducing costs associated with growing the plants to maturity.…”

Section: Introductionmentioning

confidence: 99%

Genetic Diversity and Population Structure of the USDA Sweetpotato (Ipomoea batatas) Germplasm Collections Using GBSpoly

et al. 2018

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Sweetpotato (Ipomoea batatas) plays a critical role in food security and is the most important root crop worldwide following potatoes and cassava. In the United States (US), it is valued at over $700 million USD. There are two sweetpotato germplasm collections (Plant Genetic Resources Conservation Unit and US Vegetable Laboratory) maintained by the USDA, ARS for sweetpotato crop improvement. To date, no genome-wide assessment of genetic diversity within these collections has been reported in the published literature. In our study, population structure and genetic diversity of 417 USDA sweetpotato accessions originating from 8 broad geographical regions (Africa, Australia, Caribbean, Central America, Far East, North America, Pacific Islands, and South America) were determined using single nucleotide polymorphisms (SNPs) identified with a genotyping-by-sequencing (GBS) protocol, GBSpoly, optimized for highly heterozygous and polyploid species. Population structure using Bayesian clustering analyses (STRUCTURE) with 32,784 segregating SNPs grouped the accessions into four genetic groups and indicated a high degree of mixed ancestry. A neighbor-joining cladogram and principal components analysis based on a pairwise genetic distance matrix of the accessions supported the population structure analysis. Pairwise FST values between broad geographical regions based on the origin of accessions ranged from 0.017 (Far East – Pacific Islands) to 0.110 (Australia – South America) and supported the clustering of accessions based on genetic distance. The markers developed for use with this collection of accessions provide an important genomic resource for the sweetpotato community, and contribute to our understanding of the genetic diversity present within the US sweetpotato collection and the species.

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Section: Introductionmentioning

confidence: 99%

Genetic Diversity and Population Structure of the USDA Sweetpotato (Ipomoea batatas) Germplasm Collections Using GBSpoly

et al. 2018

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“…With advances in genetic mapping approaches, identifying DNA markers associated with economically important traits accelerates breeding processes significantly (Kushanov et al, 2021;Yoon et al, 2015). Developing distinct, efficient approaches helped identify genomic regions and genes that control and manage economically important traits in crop plants (Kushanov et al, 2017(Kushanov et al, , 2022.…”

Section: Nested Association Mapping (Nam) Population In Wheatmentioning

confidence: 99%

Present Status and Future Perspectives of Wheat (Triticum Aestivum L.) Research in Uzbekistan

TURAEV,

BABOEV,

ZIYAEV

et al. 2023

SABRAOJBG

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Wheat (Triticum spp.) is one of the premier staple foods consumed by one-third of the world’s population. Bread wheat (Triticum aestivum L.) is the only allohexaploid species with a genome formula BBAADD. Until now, from a selection point of view, a decline showed in the genetic potential of this type of wheat. However, the solution to this problem can be by developing high-yielding, disease- and pest-resistant cultivars using wheat-related species, ancient local landraces, and germplasm resources. Therefore, extensive study of the wheat gene pool using molecular tools, including identifying primary sources, is highly beneficial. For wheat improvement, breeding opportunities offer significant enhancements via genetic mapping approaches. The review focuses on the common wheat germplasm, wheat genetic approaches for genetic mapping, identification, and RWA (Russian wheat aphid) resistance, nested association mapping (NAM) population, DNA barcoding of Uzbekistan elite bread wheat cultivars, DNA marker-based screening of wheat germplasm for RWA resistance, future perspectives of wheat breeding in Uzbekistan, marker-assisted selection for abiotic stress tolerance, wheat stripe rust and its control strategies in Uzbekistan, epidemiology of the rust pathogens, pathogen characterization, and varietal resistance.

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“…Such characteristics are known as quantitative traits, and the segregating loci as quantitative trait loci (QTLs). In the case of quantitative traits, the fundamental procedure is to detect markers linked to the quantitative trait via QTL [ 92 , 95 , 96 , 97 , 98 ]. Moreover, many important QTLs from crop species have been cloned thanks to the increasing availability of whole genome sequences.…”

Section: Molecular Toolsmentioning

confidence: 99%

Biotechnological Advances to Improve Abiotic Stress Tolerance in Crops

Villalobos-López

Arroyo-Becerra

Quintero-Jiménez

et al. 2022

IJMS

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The major challenges that agriculture is facing in the twenty-first century are increasing droughts, water scarcity, flooding, poorer soils, and extreme temperatures due to climate change. However, most crops are not tolerant to extreme climatic environments. The aim in the near future, in a world with hunger and an increasing population, is to breed and/or engineer crops to tolerate abiotic stress with a higher yield. Some crop varieties display a certain degree of tolerance, which has been exploited by plant breeders to develop varieties that thrive under stress conditions. Moreover, a long list of genes involved in abiotic stress tolerance have been identified and characterized by molecular techniques and overexpressed individually in plant transformation experiments. Nevertheless, stress tolerance phenotypes are polygenetic traits, which current genomic tools are dissecting to exploit their use by accelerating genetic introgression using molecular markers or site-directed mutagenesis such as CRISPR-Cas9. In this review, we describe plant mechanisms to sense and tolerate adverse climate conditions and examine and discuss classic and new molecular tools to select and improve abiotic stress tolerance in major crops.

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Marker-Assisted Breeding

Cited by 7 publications

References 102 publications

Genetic Diversity and Population Structure of the USDA Sweetpotato (Ipomoea batatas) Germplasm Collections Using GBSpoly

Genetic Diversity and Population Structure of the USDA Sweetpotato (Ipomoea batatas) Germplasm Collections Using GBSpoly

Present Status and Future Perspectives of Wheat (Triticum Aestivum L.) Research in Uzbekistan

Biotechnological Advances to Improve Abiotic Stress Tolerance in Crops

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