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Agronomy
Special Issues
Multi-Omics-Enabled Improvement of Cereal Crop
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Multi-Omics-Enabled Improvement of Cereal Crop

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Crop Breeding and Genetics".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 4592

Special Issue Editor

Prof. Dr. Jian Ma

E-Mail Website
Guest Editor
State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
Interests: wheat molecular genetics and genomics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues,

The growing food demand in the world due to the increasing population and decreasing available land requires new cereal crops including wheat and its related species, maize, oat, rye, rice, barley, millet, and sorghum, that are both more productive and resistant to harsher environmental conditions. Thus, rapid and effective exploration, evaluation, identification, validation, and dissection of an important trait, gene, protein, molecular mediator, and gene or protein interaction are of great importance for improving crop yield and quality in the near future. The incredible advances in bio-technologies have been drastically increasing our knowledge on omics approaches including genetics, genomics, transcriptomics, proteomics, metabolomics, epigenomics, phenomics, and metagenomics. These omics approaches have been greatly utilized to seek for candidate genes for interesting traits, identify molecular mediator, and uncover biological pathways, and so on. They have great potential in studying cereal crops. In this Special Issue, aiming at integration of omics data generated from different biological levels toward analyzing the underlying regulation mechanisms of complex traits, we are going to collate articles on studies about traits, genes, proteins, metabolites, molecular interactions, and pathways in cereal crop using omics with an emphasis on transcriptomics, proteomics and metabonomics. Potential areas in this Special Issue include, but are not limited to: Omics-based identification and genetic dissection of candidate genes for traits related to yield, quality, biotic and abiotic stress resistance in cereal crop; Omics-based reveling molecular signatures, molecular regulation pathways, and molecular interactions; Omics-based genetic dissection of traits related to yield, quality, biotic and abiotic stress resistance.

Prof. Dr. Jian Ma
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multi-omics
  • cereal crop
  • complex traits
  • molecular signatures
  • molecular pathways

Published Papers (2 papers)

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Research

16 pages, 1462 KiB  
Article
Genomic Regions Influencing Preharvest Sprouting Tolerance in Two Doubled-Haploid Wheat Populations (Triticum aestivum L.)
by Thobeka Philile Khumalo, Tsepiso Hlongoane, Annelie Barnard and Toi John Tsilo
Agronomy 2022, 12(4), 832; https://doi.org/10.3390/agronomy12040832 - 29 Mar 2022
Cited by 2 | Viewed by 2224
Abstract
The current and projected climate change that is represented by increasing temperatures and humidity levels and irregular rainfall patterns promotes the occurrence of preharvest sprouting (PHS) in wheat. PHS results in significant economic losses, globally, which necessitates the need for high-yielding cultivars with [...] Read more.
The current and projected climate change that is represented by increasing temperatures and humidity levels and irregular rainfall patterns promotes the occurrence of preharvest sprouting (PHS) in wheat. PHS results in significant economic losses, globally, which necessitates the need for high-yielding cultivars with increased PHS tolerance; hence, this study was conducted. The current study evaluated two doubled-haploid (DH) wheat populations of Tugela-Dn × Elands and Elands × Flamink across six environments in the Free State Province of South Africa to select genotypes with increased PHS tolerance and further map the underlying loci. Significant effects of DH lines (194) and environments (6) were observed for PHS tolerance. The results of this study validate previous findings that PHS is only expressed when environmental conditions are conducive. Quantitative trait loci (QTL) mapping using single-nucleotide polymorphism (SNP) and silicoDArT markers revealed three additive QTLs with major effects on chromosomes 5B and 7B, and these QTLs were detected more than once, when conditions were favourable. These QTLs explained a phenotypic variation (PVE) varying between 10.08% and 20.30% (LOD = 2.73–3.11). About 16.50% of DH lines performed to the level of Elands (the PHS-tolerant parent) and are recommended for further selection in a pre-breeding or breeding programme. The findings of this study are expected to expedite the on-going breeding efforts for PHS tolerance in winter wheat, which will facilitate the development of PHS-tolerant cultivars adapted to the South African environment. Full article
(This article belongs to the Special Issue Multi-Omics-Enabled Improvement of Cereal Crop)
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12 pages, 3022 KiB  
Article
Identification and Validation of a Novel Major QTL Controlling Leaf Pubescence in the Chinese Wheat Landrace ‘Baimaomai’
by Zehou Liu, Qin Wang, Hongshen Wan, Fan Yang, Shizhao Li, Manyu Yang, Jiangtao Luo, Jianmin Zheng, Qingyan Deng, Hai Long, Guangbing Deng, Ning Yang, Jun Li and Wuyun Yang
Agronomy 2021, 11(11), 2237; https://doi.org/10.3390/agronomy11112237 - 4 Nov 2021
Cited by 1 | Viewed by 1732
Abstract
Leaf pubescence is an important trait closely associated with plant adaptability to specialized habitats. Baimaomai (BMM) is a wheat (Triticum aestivum L.) landrace originating from the high-altitude, drought-prone environment of Sichuan Province, China with long, dense leaf pubescence. A population of 234 [...] Read more.
Leaf pubescence is an important trait closely associated with plant adaptability to specialized habitats. Baimaomai (BMM) is a wheat (Triticum aestivum L.) landrace originating from the high-altitude, drought-prone environment of Sichuan Province, China with long, dense leaf pubescence. A population of 234 recombinant inbred lines (F10) developed from the cross between Chuanmai104 (CM104), which lacks leaf pubescence, and BMM with pubescent leaves, was used to conduct a phenotypic evaluation of leaf pubescence. Three quantitative trait loci (QTLs) were detected on chromosome arms 7BS, 3DL and 3AL using a high-density wheat 50K single-nucleotide polymorphism array in four environments. The QTLs were designated QLp.saas-7BS, QLp.saas-3DL and QLp.saas-3AL. QLp.saas-3AL, derived from BMM, and QLp.saas-3DL, derived from CM104, were new minor-effect loci. QLp.saas-7BS, derived from BMM, was a novel major-effect locus detected in all environments and was localized in a 0.48 Mb interval on chromosome arm 7BS based on the wheat ‘Chinese Spring’ reference genome. QLp.saas-7BS explained up to 40.77% of the total phenotypic variance. KASP markers tightly linked to QLp.saas-7BS were developed and verified. The present results provide valuable information for further fine mapping, cloning, and marker-assisted selection with QLp.saas-7BS in wheat. Full article
(This article belongs to the Special Issue Multi-Omics-Enabled Improvement of Cereal Crop)
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