Article
Biochemistry & Molecular Biology
Yasir Sidiq, Masataka Nakano, Yumi Mori, Takashi Yaeno, Makoto Kimura, Takumi Nishiuchi
Summary: Nicotinamide pretreatment effectively suppresses Fusarium Head Blight in wheat plants and significantly reduces DON mycotoxin accumulation.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Genetics & Heredity
Junqiao Song, Yuhui Pang, Chunping Wang, Xuecai Zhang, Zhankui Zeng, Dehui Zhao, Leiyi Zhang, Yong Zhang
Summary: In this study, the QTL associated with resistance to wheat head blight caused by Fusarium verticillioides (F.v) were mapped using genotype data from a population of 262 recombinant inbred lines (RILs) derived from Zhongmai 578 and Jimai 22. A total of 22 QTL were identified, with one novel QTL and one stable QTL detected. Forty-seven candidate genes related to disease resistance were found in the interval of the QTL. Genomic prediction accuracies for the disease traits were estimated using the cross-validation scheme.
FRONTIERS IN GENETICS
(2022)
Article
Food Science & Technology
S. A. Palacios, A. Del Canto, J. Erazo, A. M. Torres
Summary: This study evaluated the aggressiveness of F. cerealis to durum wheat cultivars and mycotoxin production in planta, finding that all cultivars exhibited typical FHB symptoms and NIV was the most produced mycotoxin. Molecular analysis revealed all strains possessed NIV genotype, while chemical assessment showed they could produce various secondary metabolites. The increasing incidence of F. cerealis and the potential crop contamination with mycotoxins pose great concern for food security and world cereal trade, especially given the higher toxicity of NIV compared to DON.
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
(2021)
Article
Plant Sciences
J. Garcia-Abadillo, L. Morales, H. Buerstmayr, S. Michel, M. Lillemo, J. Holzapfel, L. Hartl, D. Akdemir, H. F. Carvalho, J. Isidro-Sanchez
Summary: Fusarium head blight (FHB) is a fungal disease of wheat that causes yield losses and produces mycotoxins. Efficient alternatives to the commonly used Area Under the Disease Progress Curve (AUDPC) metric for evaluating FHB have been identified, with the method capturing the maximum variance in FHB severity across plots being the most optimal approach.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Plant Sciences
Dylan L. Larkin, Richard Esten Mason, David E. Moon, Amanda L. Holder, Brian P. Ward, Gina Brown-Guedira
Summary: The study compared the performance of naive GS (NGS) models and multi-trait GS (MTGS) models for FHB resistance traits, finding that MTGS model outperformed NGS model in all three traits during the 2019 breeding cycle, while NGS model outperformed MTGS model in all three traits during the 2018 breeding cycle.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Environmental Sciences
Huiqin Ma, Wenjiang Huang, Yingying Dong, Linyi Liu, Anting Guo
Summary: This study explored the potential of using hyperspectral imagery obtained from an unmanned aerial vehicle to detect wheat FHB by combining different spectral features. The field-scale wheat FHB detection model based on a combination of SBs, VIs, and WFs achieved the highest accuracy among the tested models. Our results suggest that UAV-based hyperspectral imaging technology is promising for the field-scale detection of wheat FHB.
Article
Environmental Sciences
Lu Li, Yingying Dong, Yingxin Xiao, Linyi Liu, Xing Zhao, Wenjiang Huang
Summary: In this study, a prediction method for wheat Fusarium head blight (FHB) that combines a logistic regression mechanism-based model and k-nearest neighbors (KNN) model was proposed. By integrating factor weights into the predictive factors, the occurrence rate of wheat FHB was accurately predicted. The results showed that the proposed method achieved higher accuracy and stability compared to traditional models.
Article
Environmental Sciences
Zhongwei Liu, Xiangzhi Li, Zhencai Sun, Zhimin Wang, Guitong Li
Summary: This study found that microbes from aging biochars can prevent wheat crown rot and Fusarium head blight. The fungus Papiliotrema flavescens showed strong antifungal effects without producing antifungal substances. Field trials demonstrated a significant reduction in spike disease rate and an increase in crop yield with the presence of P. flavescens.
Article
Agronomy
Mauro Martinez, Fernando Biganzoli, Agustin Arata, Maria Ines Dinolfo, Dante Rojas, Diego Cristos, Sebastian Stenglein
Summary: This study examined the effects of future climate conditions on the F. graminearum/F. poae-barley/wheat pathosystem. Warm nights were found to favor the development of F. graminearum, leading to decreased grain quality parameters and significantly increased mycotoxin concentration.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Plant Sciences
Rupesh Gaire, Marcio Pais de Arruda, Mohsen Mohammadi, Gina Brown-Guedira, Frederic L. Kolb, Jessica Rutkoski
Summary: Multi-trait genomic prediction (MTGP) can improve selection accuracy for economically valuable traits by incorporating data on correlated secondary traits. In the evaluation of resistance to Fusarium head blight (FHB) in wheat and barley, MTGP models were found to be advantageous when secondary traits were included in both the training and validation sets, and when Fusarium damaged kernels (FDK) was included as a primary trait. The evaluation of MTGP models showed that they could increase accuracy by more than twofold in the early stages.
Article
Plant Sciences
Guixia Hao, Helene Tiley, Susan McCormick
Summary: This study investigated the immune responses of wheat to chitin and found that chitin induced specific tissue-specific immune responses in wheat, which may play an important role during F. graminearum infection.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Plant Sciences
Wanderson Bucker Moraes, Laurence Madden, Pierce A. Paul
Summary: This study revealed the high variability of Fusarium head blight severity within plots and emphasized the importance of sample size for accurate estimation of mean severity. Poor sampling can lead to inaccurate estimates and misinterpretation of results.
Article
Environmental Sciences
Qingqing Hong, Ling Jiang, Zhenghua Zhang, Shu Ji, Chen Gu, Wei Mao, Wenxi Li, Tao Liu, Bin Li, Changwei Tan
Summary: This paper proposes a lightweight model for wheat ear FHB detection based on UAV-enabled edge computing. The model utilizes deep learning architectures and edge devices to achieve accurate and real-time detection. By using a lighter network, optimizing the loss function, and enhancing the model's generalization ability, the proposed model performs well in terms of detection accuracy.
Review
Plant Sciences
Haigang Ma, Yongjiang Liu, Xueyan Zhao, Suhong Zhang, Hongxiang Ma
Summary: Fusarium head blight (FHB) is a destructive disease in wheat caused by the Fusarium graminearum species complex, which also produces toxins harmful to human health. Despite the discovery of numerous genes related to FHB resistance in wheat, the disease continues to spread rapidly due to climate and cropping system changes. Therefore, further research and application of more FHB resistance genes are necessary to combat this problem.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agronomy
DanDan Meng, Xu Dong, XianFang He, Rui Pan, MingNa Sun, Yue Chu, Zhou Tong, XiaoTong Yi, Hui Fan, TongChun Gao, JinSheng Duan
Summary: This study compared the control efficacy of different wheat varieties, fungicides, and application times on wheat Fusarium head blight (FHB) and deoxynivalenol (DON) contamination. The results showed that the disease-resistant and low-toxic wheat variety Ningmai 26 and 30% prothioconazole oil dispersion (OD) had the highest control efficacy. Additionally, the 0-20% flowering stage was found to be crucial in controlling DON.
PEST MANAGEMENT SCIENCE
(2023)
Article
Biology
Elena Antonova, Marion S. Roeder
Summary: No decrease in genetic diversity was found in B. inermis populations growing under anthropogenic stress. There were no significant differences in the number of rare and private alleles between the background and impact populations of B. inermis.
INTERNATIONAL JOURNAL OF RADIATION BIOLOGY
(2022)
Review
Agronomy
Lea Schwarzwalder, Patrick Thorwarth, Yusheng Zhao, Jochen Christoph Reif, C. Friedrich H. Longin
Summary: Heterosis effects for dough quality and baking volume were close to zero, but hybrids showed higher grain yield at a given level of bread making quality compared to their parental lines. Wheat hybrids can combine high grain yield with high bread making quality, but the future use depends on a cost-efficient and reliable seed production system.
THEORETICAL AND APPLIED GENETICS
(2022)
Article
Biotechnology & Applied Microbiology
Sandip M. Kale, Albert W. Schulthess, Sudharsan Padmarasu, Philipp H. G. Boeven, Johannes Schacht, Axel Himmelbach, Burkhard Steuernagel, Brande B. H. Wulff, Jochen C. Reif, Nils Stein, Martin Mascher
Summary: This article reports on the sequencing and assembly of resistance gene homologs in a diversity panel of winter wheat genotypes, as well as the construction of a chromosome-scale genome sequence assembly. It illustrates the value of this resource for breeders and geneticists through comparing resistance gene complements and conducting genome-wide association scans.
PLANT BIOTECHNOLOGY JOURNAL
(2022)
Article
Plant Sciences
Valentin Hinterberger, Dimitar Douchkov, Stefanie Lueck, Sandip Kale, Martin Mascher, Nils Stein, Jochen C. Reif, Albert W. Schulthess
Summary: Genetic pathogen control is a cost-effective and sustainable alternative to chemical-based methods. In this study, we phenotyped a collection of winter wheat genotypes and identified genetic resistance mechanisms against powdery mildew, a major wheat pathogen. Through genome-wide association study and domain enrichment analysis, we discovered novel candidate genes for disease resistance in wheat.
FRONTIERS IN PLANT SCIENCE
(2022)
Review
Plant Sciences
Thomas Miedaner, Viktor Korzun, Peer Wilde
Summary: Hybrid rye breeding can significantly increase yield and income, and can address low pollen fertility and susceptibility to ergot issues by utilizing Rf genes from Iran and Argentina.
Article
Multidisciplinary Sciences
Saksham Pundir, Rajiv Sharma, Deepak Kumar, Vikas Kumar Singh, Deepti Chaturvedi, Rambir Singh Kanwar, Marion S. Roder, Andreas Borner, Martin W. Ganal, Pushpendra Kumar Gupta, Shailendra Sharma, Shiveta Sharma
Summary: The resistance of wheat to cereal cyst nematode was studied, and several novel QTLs and potential gene loci related to the resistance were identified. The findings have important implications for breeding wheat varieties with resistance against cereal cyst nematode.
SCIENTIFIC REPORTS
(2022)
Review
Plant Sciences
Babar Hussain, Bala A. Akpinar, Michael Alaux, Ahmed M. Algharib, Deepmala Sehgal, Zulfiqar Ali, Gudbjorg I. Aradottir, Jacqueline Batley, Arnaud Bellec, Alison R. Bentley, Halise B. Cagirici, Luigi Cattivelli, Fred Choulet, James Cockram, Francesca Desiderio, Pierre Devaux, Munevver Dogramaci, Gabriel Dorado, Susanne Dreisigacker, David Edwards, Khaoula El-Hassouni, Kellye Eversole, Tzion Fahima, Melania Figueroa, Sergio Galvez, Kulvinder S. Gill, Liubov Govta, Alvina Gul, Goetz Hensel, Pilar Hernandez, Leonardo Abdiel Crespo-Herrera, Amir Ibrahim, Benjamin Kilian, Viktor Korzun, Tamar Krugman, Yinghui Li, Shuyu Liu, Amer F. Mahmoud, Alexey Morgounov, Tugdem Muslu, Faiza Naseer, Frank Ordon, Etienne Paux, Dragan Perovic, Gadi V. P. Reddy, Jochen Christoph Reif, Matthew Reynolds, Rajib Roychowdhury, Jackie Rudd, Taner Z. Sen, Sivakumar Sukumaran, Bahar Sogutmaz Ozdemir, Vijay Kumar Tiwari, Naimat Ullah, Turgay Unver, Selami Yazar, Rudi Appels, Hikmet Budak
Summary: Recent technological advances in next-generation sequencing have made DNA sequencing more accessible for species with large and complex genomes, including bread wheat. Despite its importance as a food crop, breeding in bread wheat has been limited by its large polyploid genome. However, after years of effort, draft and reference genome sequences of bread wheat have been released, providing valuable resources for breeding. These advances have also facilitated the use of genotyping arrays in wheat breeding, allowing for fast and reliable characterization of wheat lines. Additionally, gene-editing and genomic selection methods have shown promise in improving important traits in wheat breeding.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Genetics & Heredity
Albert W. Schulthess, Sandip M. Kale, Fang Liu, Yusheng Zhao, Norman Philipp, Maximilian Rembe, Yong Jiang, Ulrike Beukert, Albrecht Serfling, Axel Himmelbach, Jorg Fuchs, Markus Oppermann, Stephan Weise, Philipp H. G. Boeven, Johannes Schacht, C. Friedrich H. Longin, Sonja Kollers, Nina Pfeiffer, Viktor Korzun, Matthias Lange, Uwe Scholz, Nils Stein, Martin Mascher, Jochen C. Reif
Summary: This study implemented a genomics-informed prebreeding strategy for wheat improvement, which does not discriminate against nonadapted germplasm. By collecting and analyzing genetic profiles of a large winter wheat collection, the study identified potential donors of resistance sources not yet deployed in breeding. Through genomic prediction, the best parents were identified to be used in crosses with elite cultivars, leading to advanced progenies with higher yield than current wheat varieties in multiple field trials.
Article
Agronomy
Marcel O. Berkner, Albert W. Schulthess, Yusheng Zhao, Yong Jiang, Markus Oppermann, Jochen C. Reif
Summary: Genomic prediction of genebank accessions can benefit from considering additive-by-additive epistasis and subpopulation-specific marker effects. This study compared ten different genomic prediction approaches and found that incorporating additive-by-additive epistasis improved the accuracy of prediction. The authors propose the wide application of extended genomic best linear unbiased prediction, and suggest using general and subpopulation-specific additive ridge regression best linear unbiased prediction for collections with contrasting clusters.
THEORETICAL AND APPLIED GENETICS
(2022)
Article
Multidisciplinary Sciences
Abhishek Gogna, Albert W. Schulthess, Marion S. Roeder, Martin W. Ganal, Jochen C. Reif
Summary: Curation and availability of interoperable phenotypic and genomic data in plant sciences is still a challenge. In this study, a panel of elite European cultivars of wheat was developed and genotyped with increasing density SNP arrays to study important agronomic, quality, and disease resistance traits. The robustness of the investigated traits and interoperability of genomic and phenotypic data were assessed, and the panel was transformed into a public data resource for future genetic research in wheat.
Article
Agronomy
Quddoos H. Muqaddasi, Roop Kamal Muqaddasi, Erhard Ebmeyer, Viktor Korzun, Odile Argillier, Vilson Mirdita, Jochen C. Reif, Martin W. Ganal, Marion S. Roeder
Summary: Sedimentation values and falling number in wheat have been maintained at high baking quality despite selection for grain yield. Major loci Glu-D1, Pinb-D1, and non-gluten proteins play a role in sustaining bread-making quality while improving grain yield. Genetic correlations reveal associations between sedimentation values, falling number, grain protein content, and grain hardness, but all are negatively correlated with grain yield.
THEORETICAL AND APPLIED GENETICS
(2023)
Article
Nutrition & Dietetics
Dalia Z. Alomari, Matias Schierenbeck, Ahmad M. Alqudah, Mashael Daghash Alqahtani, Steffen Wagner, Hardy Rolletschek, Ljudmilla Borisjuk, Marion S. Roeder
Summary: Protein deficiency is a major global health issue that is often underestimated. This study focused on wheat grains and identified genes that govern grain protein content (GPC), which can be used to improve human health. Genome-wide association was applied to analyze 369 wheat genotypes, and 54 significant quantitative trait nucleotides (QTNs) were detected. These QTNs have contrasting effects on GPC and are linked with candidate genes involved in protein binding, remobilization, or transport. The findings are valuable for enhancing protein content and improving human nutrition.
Article
Biology
Valentin Hinterberger, Dimitar Douchkov, Stefanie Lueck, Jochen C. Reif, Albert W. Schulthess
Summary: This study provides phenotypic data on resistance against wheat powdery mildew, a major threat to agricultural production. Using a high-throughput phenotyping system, the researchers infected and photographed a large number of wheat leaves, providing quantitative data and raw images. The combination of this phenotypic data with previously published genotypic data can be used for developing novel genotype-based predictions and mapping methods.
Article
Agronomy
Abhishek Gogna, Jie Zhang, Yong Jiang, Albert W. Schulthess, Yusheng Zhao, Jochen C. Reif
Summary: This study investigates the contribution of deleterious alleles to the grain yield heterosis of wheat. It is found that including these low-frequency alleles in prediction models significantly improves accuracy. The study also highlights the difference in allele frequency between elite cultivars and plant genetic resources, suggesting the role of purifying selection. Additionally, the study explores the heterotic-quantitative trait loci underlying heterosis in different crosses.