Genetic Dissection for Yield and Yield-Related Traits in Bread Wheat (Triticum aestivum L.)

Mir, Reyazul Rouf; Kumar, Sachin; Shafi, Safoora

doi:10.1007/978-3-030-59577-7_10

Cited by 5 publications

(2 citation statements)

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“…The availability of powerful molecular tools, such as genome-wide association studies (GWAS), has dramatically improved the possibility of dissecting the genetic basis of complex quantitative traits in crop plants, including cereals [12]. GWAS has higher resolving power in comparison to bi-parental linkage mapping and is currently considered the method of choice to better understand the genetics of resistance/tolerance to biotic and abiotic stresses and yield-related traits [13][14][15][16][17][18]. Recently, GWAS of winter wheat have been actively employed to study grain quality [19,20], drought tolerance [21,22], pre-harvest sprouting resistance [23], disease resistance [24,25], and yield and its components [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Association Mapping of Quantitative Trait Loci for Agronomic Traits in a Winter Wheat Collection Grown in Kazakhstan

Amalova,

Yessimbekova,

Ortaev

et al. 2023

Agronomy

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Central Asia is an important region for the growth of winter wheat, with a cultivation area of more than 15 million hectares (ha). However, the average yield is approximately 3 tons per ha, which is significantly lower than that in developed countries. Therefore, the development of new competitive high-yielding cultivars, including those based on the application of modern molecular genetics tools, is a key priority in winter wheat breeding projects. One of these tools is the result of the identification of new genes and quantitative trait loci (QTLs) for agronomic traits using diverse germplasm panels and genome-wide association studies (GWAS). In this work, a panel of winter wheat accessions was assembled using 115 accessions from Central Asia and 162 samples from other regions of the world. The GWAS, based on a two-year field evaluation of the collection in Kazakhstan’s southern and southeastern regions and 10,481 polymorphic SNP (single-nucleotide polymorphism) markers, allowed for the detection of 173 stable QTLs in nine studied agronomic traits. A survey of the published scientific literature suggests that 23 of these 173 stable QTLs have locations similar to those of previously reported QTLs, supporting the robustness of the research. In addition, 221 and 162 accessions surpassed local standards for grain yield at Kazakhstan’s southern and southeastern stations, respectively. Therefore, this study is an additional contribution to the identification of new QTLs for key agronomic traits and valuable genetic lines in winter wheat breeding projects.

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Section: Introductionmentioning

confidence: 99%

Association Mapping of Quantitative Trait Loci for Agronomic Traits in a Winter Wheat Collection Grown in Kazakhstan

Amalova,

Yessimbekova,

Ortaev

et al. 2023

Agronomy

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“…Association mapping (AM) or a genome-wide association study (GWAS), which involves the use of diverse germplasm, has much higher resolving power in comparison to biparental linkage-based mapping (QTL mapping) and is currently considered the method of choice to unravel and understand the genetics of yield and yield-related traits ( Sukumaran et al, 2015 ; Zanke et al, 2015 ; Turuspekov et al, 2017 ; Wang et al., 2017 ; Anuarbek et al, 2020 ; Mir, Kumar & Shafi, 2021 ; Gahlaut et al., 2021 ; Muhammad et al., 2021 ). Despite this, the classic biparental mapping approach is still a powerful method for finding unique genetic factors associated with important agronomic traits in common wheat ( Wen et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Identification of quantitative trait loci of agronomic traits in bread wheat using a Pamyati Azieva × Paragon mapping population harvested in three regions of Kazakhstan

Amalova

Yermekbayev

Griffiths

et al. 2022

PeerJ

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Background Although genome-wide association studies (GWAS) are an increasingly informative tool in the mining of new quantitative trait loci (QTLs), a classical biparental mapping approach is still a powerful, widely used method to search the unique genetic factors associated with important agronomic traits in bread wheat. Methods In this study, a newly constructed mapping population of Pamyati Azieva (Russian Federation) × Paragon (UK), consisting of 94 recombinant inbred lines (RILs), was tested in three different regions of Kazakhstan with the purpose of QTL identification for key agronomic traits. The RILs were tested in 11 environments of two northern breeding stations (Petropavlovsk, North Kazakhstan region, and Shortandy, Aqmola region) and one southeastern station (Almalybak, Almaty region). The following eight agronomic traits were studied: heading days, seed maturation days, plant height, spike length, number of productive spikes, number of kernels per spike, thousand kernel weight, and yield per square meter. The 94 RILs of the PAxP cross were genotyped using Illumina’s iSelect 20K single nucleotide polymorphism (SNP) array and resulted in the identification of 4595 polymorphic SNP markers. Results The application of the QTL Cartographer statistical package allowed the identification of 53 stable QTLs for the studied traits. A survey of published studies related to common wheat QTL identification suggested that 28 of those 53 QTLs were presumably novel genetic factors. The SNP markers for the identified QTLs of the analyzed agronomic traits of common wheat can be efficiently applied in ongoing breeding activities in the wheat breeding community using a marker-assisted selection approach.

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Efficient Breeding of Crop Plants

Kulwal¹,

Mir²,

Varshney³

2022

Fundamentals of Field Crop Breeding

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Genetic Dissection for Yield and Yield-Related Traits in Bread Wheat (Triticum aestivum L.)

Cited by 5 publications

References 93 publications

Association Mapping of Quantitative Trait Loci for Agronomic Traits in a Winter Wheat Collection Grown in Kazakhstan

Association Mapping of Quantitative Trait Loci for Agronomic Traits in a Winter Wheat Collection Grown in Kazakhstan

Identification of quantitative trait loci of agronomic traits in bread wheat using a Pamyati Azieva × Paragon mapping population harvested in three regions of Kazakhstan

Efficient Breeding of Crop Plants

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