Cereals Genetics and Breeding

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Crop Physiology and Crop Production".

Deadline for manuscript submissions: closed (20 June 2025) | Viewed by 3080

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Guest Editor
Agriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, AB T1J 4B1, Canada
Interests: machine learning and deep learning in breeding; computer vision in crop phenotyping; AI-driven multi-omics integration; predictive modeling of G×E interactions; neural networks for trait prediction; big data analytics in plant breeding; reinforcement learning for breeding optimization
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Special Issue Information

Dear Colleagues,

Cereal crops are a vital part of global food security, and their improvement through genetics and breeding is crucial for meeting the demands of a growing population. This Special Issue of Plants aims to focus on the latest advances in cereal genetics and breeding, including innovative methods, technologies, and strategies for improving yield, quality, and sustainability. We invite original research articles, reviews, and short notes on topics such as genetic diversity, genome editing, marker-assisted selection, and phenomics, as well as breeding for biotic and abiotic stress resistance, nutritional enhancement, and climate resilience. Original research articles and reviews, communications, and short notes are welcome to be submitted.

Dr. Raman Dhariwal
Guest Editor

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Keywords

  • cereal genetics
  • plant breeding
  • genetic diversity
  • genome editing
  • marker-assisted selection
  • phenomics
  • biotic stress resistance
  • abiotic stress resistance
  • nutritional enhancement
  • climate resilience
  • sustainable agriculture
  • crop improvement
  • genetics and genomics
  • breeding methods
  • cereal crops
  • food security

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Published Papers (2 papers)

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Research

17 pages, 4185 KB  
Article
Genome-Wide Association Studies for Grain Micronutrient Concentration in Spring Wheat (Triticum aestivum L.)
by Chandranandani Negi, Krishan Kumar, Raman Dhariwal, Pritesh Vyas and Neeraj Kumar Vasistha
Plants 2025, 14(22), 3472; https://doi.org/10.3390/plants14223472 - 14 Nov 2025
Cited by 1 | Viewed by 1162
Abstract
The micronutrient content is a major aspect of food quality and has been under threat after a gain in production post-green revolution. Calcium (Ca) and magnesium (Mg) are the micronutrients that are cofactors for many enzymes and play a critical role in human [...] Read more.
The micronutrient content is a major aspect of food quality and has been under threat after a gain in production post-green revolution. Calcium (Ca) and magnesium (Mg) are the micronutrients that are cofactors for many enzymes and play a critical role in human physiology. Deciphering the accumulation of these micronutrients in wheat and the identification of QTLs associated with these elements is very significant for cutting the risk of malnutrition in humans. Here, a genome-wide association study (GWAS) of 105 lines from an elite panel of the Wheat Association Mapping Initiative (WAMI) was performed for the two cropping seasons of 2021–2022 and 2022–2023 for the grain calcium and magnesium content (GCaC and GMgC). Notably, two marker trait associations (MTAs), wsnp_Ex_c2718_5038582, Kukri_c11327_977, and RAC875_c9984_1003, were found for the GCaC, and similarly three MTAs (Tdurum_contig28802_213, wsnp_Ex_c34597_42879693, and RFL_Contig6053_3082) were identified for the GMgC in both the cropping seasons, proving their utility and non-redundancy. An MTA associated with a SNP marker (wsnp_Ex_c34597_42879718) was also identified in the two seasons and was significant for both the GCaC and GMgC. Candidate gene analysis showed the association of these MTAs with some of the very vital genes associated with activities where Ca and Mg play significant roles. Our study widens the insights on the genetic control of Ca and Mg accumulation in wheat and the utilization of this information for future breeding programs, wherein wheat improvement with enhanced Ca and Mg may be designed and conducted. Full article
(This article belongs to the Special Issue Cereals Genetics and Breeding)
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16 pages, 1317 KB  
Article
Genome-Wide Linkage Mapping of QTL for Adult-Plant Resistance to Stripe Rust in a Chinese Wheat Population Lantian 25 × Huixianhong
by Fangping Yang, Yamei Wang, Ling Wu, Ying Guo, Xiuyan Liu, Hongmei Wang, Xueting Zhang, Kaili Ren, Bin Bai, Zongbing Zhan and Jindong Liu
Plants 2025, 14(16), 2571; https://doi.org/10.3390/plants14162571 - 18 Aug 2025
Cited by 1 | Viewed by 1342
Abstract
Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), represents a major global threat to wheat (Triticum aestivum. L). Planting varieties with adult-plant resistance (APR) is an effective approach for long-term management of this disease. The Chinese winter wheat variety [...] Read more.
Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), represents a major global threat to wheat (Triticum aestivum. L). Planting varieties with adult-plant resistance (APR) is an effective approach for long-term management of this disease. The Chinese winter wheat variety Lantian 25 exhibits moderate-to-high APR against stripe rust under field conditions. To investigate the genetic basis of APR in Lantian 25, a set of 219 F6 recombinant inbred lines (RILs) was created from a cross between Lantian 25 (resistant parent) and Huixianhong (susceptible parent). These RILs were assessed for maximum disease severity (MDS) in Pixian of Sichuan and Qingshui of Gansu over the 2020–2021 and 2021–2022 growing seasons, resulting in data from four different environments. Genotyping was performed on these lines and their parents using the wheat Illumina 50K single-nucleotide polymorphism (SNP) arrays. Composite interval mapping (CIM) identified six quantitative trait loci (QTL), named QYr.gaas-2BS, QYr.gaas-2BL, QYr.gaas-2DS, QYr.gaas-2DL, QYr.gaas-3BS and QYr.gaas-4BL, which were consistently found across two or more environments and explained 4.8–12.0% of the phenotypic variation. Of these, QYr.gaas-2BL, QYr.gaas-2DS, and QYr.gaas-3BS overlapped with previous studies, whereas QYr.gaas-2BS, QYr.gaas-2DS, and QYr.gaas-4BL might be novel. All the resistance alleles for these QTL originated from Lantian 25. Furthermore, four kompetitive allele-specific PCR (KASP) markers, Kasp_2BS_YR (QYr.gaas-2BS), Kasp_2BL_YR (QYr.gaas-2BL), Kasp_2DS_YR (QYr.gaas-2DS) and Kasp_2DL_YR (QYr.gaas-2DL), were developed and validated in 110 wheat diverse accessions. Additionally, we identified seven candidate genes linked to stripe rust resistance, including disease resistance protein RGA2, serine/threonine-protein kinase, F-box family proteins, leucine-rich repeat family proteins, and E3 ubiquitin-protein ligases. These QTL, along with their associated KASP markers, hold promise for enhancing stripe rust resistance in wheat breeding programs. Full article
(This article belongs to the Special Issue Cereals Genetics and Breeding)
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