Selection of Wheat (Triticum aestivum L.) Genotypes Using Yield Components, Water Use Efficiency and Major Metabolites Under Drought Stress

Journal of Agronomy and Crop Science, Год журнала: 2024, Номер 210(5)

Опубликована: Сен. 21, 2024

ABSTRACT Integrating grain yield, component traits and metabolite profiles aids in selecting drought‐adapted climate‐smart crop varieties preferred by end users. Understanding the trends magnitude of grain‐based metabolites is vital for wheat genotypes with higher drought tolerance, water use efficiency product profiles. The aim this study was to determine response newly developed yield under stress guide selection. One hundred were preliminarily evaluated agro‐morphological drought‐stressed non‐stressed conditions during 2022 2023 growing seasons using a 5 × 20 alpha lattice design two replications. Ten high‐yielding selected based on validated agronomic (WUE), samples assayed profile their key conditions. Significant differences existed ( p < 0.05) among tested components, WUE, tolerance major discern trait associations. 10 ranged from 590.00 g m −2 (genotype LM70 BW140) 800.00 (BW141 LM71) treatment, whilst it 760.06 (LM70 908.33 (LM71 BW162). Grain yield‐based assessed (0.18 mm −1 ) than (0.17 highest index (211.67) susceptibility (0.77) recorded BW162 LM71, lowest (23.33) (0.09) BW141 LM71. metabolites, including apigenin‐8‐C‐glucoside (log2Fold = 3.00) malate 3.60) present proportions LM71 BW162) conditions, fructose −0.50) cellulose −3.90) showed marked decline genotypes. Based phenotypic analyses, being drought‐tolerant, water‐use efficient recommended production or breeding. findings revealed associations between selection best‐performing drought‐tolerant varieties.

Язык: Английский

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Genome wide association and haplotype analyses for the crease depth trait in bread wheat (Triticum aestivum L.)

Frontiers in Plant Science, Год журнала: 2023, Номер 14

Опубликована: Июль 3, 2023

Wheat grain has a complex structure that includes crease on one side, and tissues within the region play an important role in nutrient transportation during wheat development. However, genetic architecture of is still unclear. In this study, 413 global accessions were resequenced method was developed for evaluating phenotypic data depth (CD). The CD values exhibited continuous considerable large variation population, broad-sense heritability 84.09%. found to be positively correlated with grain-related traits negatively quality-related traits. Analysis differentiation between landraces cultivars revealed simultaneously improved breeding improvement. Moreover, 2,150.8-Mb segments identified fall selective sweeps cultivars; they contained some known functional genes quality- Genome-wide association study (GWAS) performed using around 10 million SNPs generated by genome resequencing 551 significant 18 QTLs detected significantly associated CD. Combined cluster analysis gene expression, haplotype analysis, annotated information candidate genes, two promising TraesCS3D02G197700 TraesCS5A02G292900 potentially regulate To best our knowledge, first provide basis CD, loci may ultimately assist programs.

Язык: Английский

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Genome-wide association mapping and candidate genes analysis of high-throughput image descriptors for wheat frost resistance

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Март 21, 2024

Frost risk is increasingly occurring in winter wheat. Quantitative assessment of frost can facilitate the analysis key genetic factors related to wheat resistance abiotic stress. We collected 491 accessions and selected four image-based descriptors (BLUE band, RED NDVI, GNDVI) quantitatively assess their risk. Image complement visual estimation Combined with GWAS, a total 107 quantitative trait loci (QTL) (r² ranging from 0.75% 9.48%) were identified, including well-known frost-resistant locus Frost Resistance (Fr)-1/ Vernalization (Vrn)-1. Additionally, by utilizing published RNA-Seq data, we identified two other candidate genes TraesCS2A03G1077800 TraesCS5B03G1008500. Furthermore, when combined genome selection (GS), predict high accuracy (r≤0.84). In conclusion, our research confirms high-throughput acquisition risk, thereby supplementing exploration structure within complex field environments.

Язык: Английский

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Genetic Analysis of Stripe Rust Resistance in the Chinese Wheat Cultivar Luomai 163

Plant Disease, Год журнала: 2024, Номер unknown

Опубликована: Июль 26, 2024

Stripe or yellow rust (YR) caused by Puccinia striiformis tritici (Pst) is an important foliar disease affecting wheat production globally. Resistant varieties are the most economically and environmentally effective way to manage this disease. The common winter (Triticum aestivum L.) cultivar Luomai 163 exhibited resistance Pst races CYR32 CYR33 at seedling stage showed a high level of adult plant in field. To understand genetic basis YR cultivar, 142 F 5 recombinant inbred lines (RILs) derived from cross Apav#1 × LM163 both parents were genotyped with 16K SNP array bulked segregant analysis sequencing. detected major gene, YrLM163, associated 1BL.1RS translocation. Additionally, three genes for on chromosome arms 1BL (Lr46/Yr29/Pm39/Sr58), 6BS, 6BL 163, whereas contributed quantitative trait locus (QTL) 2BL. These QTL explained severity variations ranging 6.9 54.8%. kompetitive allele-specific PCR (KASP) markers KASP-2BL, KASP-6BS, KASP-6BL novel loci QYr.hzau-2BL, QYr.hzau-6BS, QYr.hzau-6BL developed validated. QYr.hzau-1BL, QYr.hzau-6BS varying degrees when present individually combination based genotype phenotype panel 570 accessions. Six RILs combining alleles all QTL, showing higher field than severities 10.7 16.0%, germplasm resources breeding programs develop YR-resistant good agronomic traits.

Язык: Английский

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