Article
Agronomy
Guorong Zhang, Richard Y. Chen, Mingqin Shao, Guihua Bai, Bradford W. Seabourn
Summary: Through the study of the wheat variety 'Tiger', new QTL for quality traits were discovered, with several major QTL identified on specific chromosomes that impact important quality traits in wheat. The findings from this study could be valuable for genetic improvement of bread-making quality in wheat.
Article
Biotechnology & Applied Microbiology
Meriem Aoun, Arron H. Carter, Craig F. Morris, Alecia M. Kiszonas
Summary: This study investigated the phenotypic and genotypic structure of 14 end-use quality traits in wheat breeding lines and cultivars. The results showed a complex genetic architecture for end-use quality traits and the challenges of selecting genotypes for multiple traits. The study also identified several important loci for selecting favorable alleles in breeding for end-use quality.
Article
Plant Sciences
Dan Liu, Huaimao Yang, Zhaoheng Zhang, Qian Chen, Weilong Guo, Vincenzo Rossi, Mingming Xin, Jinkun Du, Zhaorong Hu, Jie Liu, Huiru Peng, Zhongfu Ni, Qixin Sun, Yingyin Yao
Summary: Through gene editing and map-based cloning, it was discovered that Gli-gamma 1-1D and Gli-gamma 2-1B are major contributors to gluten accumulation in wheat. Knocking out these two genes can improve end-use quality and reduce gluten epitopes associated with celiac disease. Additionally, an elite allele of Gli-gamma 1-1D linked to higher end-use quality was identified, and a molecular marker was developed for marker-assisted selection. These findings provide valuable information and tools for improving wheat end-use quality.
Article
Biochemistry & Molecular Biology
Khaoula El Hassouni, Muhammad Afzal, Kim A. Steige, Malte Sielaff, Valentina Curella, Manjusha Neerukonda, Stefan Tenzer, Detlef Schuppan, Carl Friedrich Horst Longin, Patrick Thorwarth
Summary: Wheat proteins play an important role in nutrition, but can also cause adverse reactions. Through a genome wide association study, we identified quantitative trait loci that explain the genetic variation in wheat proteins. These loci can be used to select for low protein abundance in wheat cultivars for human health considerations.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Plant Sciences
Shuiyuan Hao, Hongyao Lou, Haiwei Wang, Jinghong Shi, Dan Liu, Baogerile, Jianguang Tao, Sanming Miao, Qunce Pei, Liangliang Yu, Min Wu, Ming Gao, Naihu Zhao, Jinchao Dong, Mingshan You, Mingming Xin
Summary: This study investigated the genetic loci associated with five quality traits in Chinese wheat grown in Inner Mongolia through genome wide association mapping. Multiple QTLs were found to be associated with various traits, and the distribution of favorable alleles of stable QTLs was validated. The study provides novel insights into the genetic basis of quality traits in wheat.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Plant Sciences
Matilde Lopez-Fernandez, Laura Pascual, Isabel Faci, Mario Fernandez, Magdalena Ruiz, Elena Benavente, Patricia Giraldo
Summary: Modern plant-breeding practices have narrowed the genetic base of wheat, highlighting the importance of introducing new germplasms with underexploited diversity. Wheat landraces from Spain exhibit a wide genetic diversity and quality-related traits, with specific alleles associated with high quality identified. Novel variability in high-molecular-weight glutenin and puroindolines within the landraces was also discovered, warranting further characterization for assessing its influence on wheat quality. Additionally, select landraces showing outstanding gluten quality and agronomic performance were identified for potential direct use in cropping systems.
Article
Agronomy
Kalpana Singh, Dinesh Kumar Saini, Gautam Saripalli, Ritu Batra, Tinku Gautam, Rakhi Singh, Sunita Pal, Manoj Kumar, Irfat Jan, Sahadev Singh, Anuj Kumar, Hemant Sharma, Jyoti Chaudhary, Kuldeep Kumar, Sourabh Kumar, Vikas Kumar Singh, Vivudh Pratap Singh, Deepak Kumar, Shiveta Sharma, Sachin Kumar, Rahul Kumar, Shailendra Sharma, Shailendra Singh Gaurav, Pradeep Kumar Sharma, Harindra Singh Balyan, Pushpendra Kumar Gupta
Summary: We have developed an updated and improved version of the wheat QTL database (WheatQTLdb V2.0) that includes information on hexaploid wheat and other related species. The database provides an improved list of QTL and additional options for searching and selecting QTL, making it valuable for research and breeding programs.
MOLECULAR BREEDING
(2022)
Article
Agronomy
Valentina Spanic, Kresimir Dvojkovic, Jurislav Babic, Georg Drezner, Zvonimir Zdunic
Summary: The study aimed to evaluate the effects of artificial inoculation with Fusarium spp. on technological quality traits and end-use quality of winter wheat varieties over three years. It was found that different environments and variety characteristics led to reductions in dough development duration and extensibility, as well as increases in dough softening due to FHB inoculation. Additionally, FHB-inoculated wheat had reduced strength, stickier dough, and decreased energy value and resistance to extension, which negatively impacted rheological properties.
Article
Food Science & Technology
Jian Cai, Fujuan Zang, Liang Xin, Qin Zhou, Xiao Wang, Yingxin Zhong, Mei Huang, Tingbo Dai, Dong Jiang
Summary: The aim of this study was to investigate the effects of inorganic sulfur and cysteine on grain protein and flour quality in wheat. It was found that applying fertilizer at the jointing stage had a better influence on protein quality. The application of cysteine significantly increased grain yield, glutenin content, and bread quality.
Article
Plant Sciences
Shuai Tian, Minghu Zhang, Jinghui Li, Shaozhe Wen, Chan Bi, Huanhuan Zhao, Chaoxiong Wei, Zelin Chen, Jiazheng Yu, Xintian Shi, Rongqi Liang, Chaojie Xie, Baoyun Li, Qixin Sun, Yufeng Zhang, Mingshan You
Summary: In this study, 15 quantitative trait loci (QTL) for sodium dodecyl sulfate (SDS)-sedimentation volume (SSV) were identified, with the most significant QTL located on chromosome 1A explaining 39.67% of the phenotypic variance. By comparing SSVs of different recombinants, it was found that the combination of two favorable loci had the highest SSV, indicating an additive effect of these loci. This research provides valuable insights into the genetic basis of SSV and suggests a potential target for wheat breeding programs, QSsv.cau-1A.1.1.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Genetics & Heredity
Karansher S. Sandhu, Shruti Sunil Patil, Meriem Aoun, Arron H. Carter
Summary: This study explored the potential of using multi-trait genomic selection (GS) models to predict end-use quality traits in soft white wheat. The results showed that multi-trait models outperformed uni-trait models in within-environment and across-location predictions. Machine and deep learning models performed better than traditional GS models for across-location predictions, but their advantages diminished when considering genotype by environment interaction. The highest improvement in prediction accuracy was achieved for flour protein content using the multi-trait MLP model.
FRONTIERS IN GENETICS
(2022)
Article
Agronomy
Mehmet Dogan, Zhen Wang, Mustafa Cerit, Jorge L. L. Valenzuela-Antelo, Smit Dhakal, Chenggen Chu, Qingwu Xue, Amir M. H. Ibrahim, Jackie C. C. Rudd, Amy Bernardo, Paul St. Amand, Guihua Bai, Hongbin Zhang, Shuyu Liu
Summary: Genetic dissection of complex traits in wheat using QTL analysis identified 30 QTL regions associated with yield, end-use quality traits, and agronomic traits. Some of these QTLs were consistent across different chromosomes and showed pleiotropic effects. Three novel QTLs were discovered, along with three major QTLs in colocalization with known genes. Epistasis was also detected. This study provides valuable information for wheat breeding programs through marker-assisted selection.
Article
Plant Sciences
Kun Sheng, Lina Xu, Mingxia Wang, Heng Lei, Aiwang Duan
Summary: Water-saving irrigation plays a crucial role in ensuring food security and improving wheat quality in China. The study found that regulated deficit irrigation (RDI) can enhance the end-use functional properties of wheat and water-use efficiency (WUE) without significant yield loss. Moderate water deficit before jointing and during the late grain-filling stage, combined with a slight water deficit from jointing to booting, increased grain quality and WUE.
FRONTIERS IN PLANT SCIENCE
(2022)
Review
Plant Sciences
Ashley E. Cannon, Elliott J. Marston, Alecia M. Kiszonas, Amber L. Hauvermale, Deven R. See
Summary: Late-maturity a-amylase (LMA) leads to the expression and protein accumulation of high pI alpha-amylases during late grain development, resulting in a low falling number (FN). Efforts are being made by wheat researchers to understand and eliminate LMA from wheat breeding programs, while cereal chemists and quality scientists are studying the impact of LMA-affected grain on end-use quality.
Article
Agriculture, Multidisciplinary
Yan Wang, Zhen-ru Guo, Qing Chen, Yang Li, Kan Zhao, Yong-fang Wan, Malcolm J. Hawkesford, Yun-feng Jiang, Li Kong, Zhi-en Pu, Mei Deng, Qian-tao Jiang, Xiu-jin Lan, Ji-rui Wang, Guo-yue Chen, Jian Ma, You-liang Zheng, Yu-ming Wei, Peng-fei Qi
Summary: This study investigated the role of Dy10 subunit in wheat processing quality by generating a deletion mutant and analyzing the changes in flour after incorporation of purified Dy10. The Dy10-null allele reduced glutenin:gliadin ratio and negatively affected dough strength and bread-making quality, but positively affected biscuit-making quality. The addition of purified Dy10 to wheat flour also had a detrimental effect on biscuit-making quality. These findings highlight the importance of Dy10 subunit in maintaining wheat dough strength and its potential use in soft wheat breeding programs.
JOURNAL OF INTEGRATIVE AGRICULTURE
(2023)
Article
Agronomy
Robert S. Zemetra, Savannah N. Phipps, Thomas Koehler, Adrienne B. Burke, Arron H. Carter
Summary: A mapping population was developed using a cross between two varieties of soft white winter wheat to maximize diversity within the soft white market class. The genetic linkage map consists of 2,144 DNA markers assigned to 32 linkage groups, covering all chromosomes except 1D. This population has been used to identify DNA markers associated with disease resistance and other traits, providing opportunities for further genetic research.
JOURNAL OF PLANT REGISTRATIONS
(2022)
Article
Multidisciplinary Sciences
Fei He, Wei Wang, William B. Rutter, Katherine W. Jordan, Jie Ren, Ellie Taagen, Noah DeWitt, Deepmala Sehgal, Sivakumar Sukumaran, Susanne Dreisigacker, Matthew Reynolds, Jyotirmoy Halder, Sunish Kumar Sehgal, Shuyu Liu, Jianli Chen, Allan Fritz, Jason Cook, Gina Brown-Guedira, Mike Pumphrey, Arron Carter, Mark Sorrells, Jorge Dubcovsky, Matthew J. Hayden, Alina Akhunova, Peter L. Morrell, Les Szabo, Matthew Rouse, Eduard Akhunov
Summary: This study reveals the impact of genetic variants leading to biased expression of homoeologous genes in hexaploid wheat on agronomic traits. It shows that the variation in homoeolog expression dosage is largely influenced by cis-acting variants, which have predictive value for yield-related traits and may have been impacted by breeding for increased productivity.
NATURE COMMUNICATIONS
(2022)
Article
Genetics & Heredity
Katherine W. Jordan, Peter J. Bradbury, Zachary R. Miller, Moses Nyine, Fei He, Max Fraser, Jim Anderson, Esten Mason, Andrew Katz, Stephen Pearce, Arron H. Carter, Samuel Prather, Michael Pumphrey, Jianli Chen, Jason Cook, Shuyu Liu, Jackie C. Rudd, Zhen Wang, Chenggen Chu, Amir M. H. Ibrahim, Jonathan Turkus, Eric Olson, Ragupathi Nagarajan, Brett Carver, Liuling Yan, Ellie Taagen, Mark Sorrells, Brian Ward, Jie Ren, Alina Akhunova, Guihua Bai, Robert Bowden, Jason Fiedler, Justin Faris, Jorge Dubcovsky, Mary Guttieri, Gina Brown-Guedira, Ed Buckler, Jean-Luc Jannink, Eduard D. Akhunov
Summary: In this study, we used the Practical Haplotype Graph (PHG) tool to improve the efficiency of high-density genotype data storage and imputation in bread wheat. The Wheat PHG database was constructed using whole-exome capture sequencing data from a diverse set of wheat accessions. We found that imputation accuracy varied depending on the sequencing method and coverage depth, with higher accuracy obtained using exome capture. We also demonstrated that genetic mapping based on genotypes imputed using PHG can identify SNPs that explain a larger proportion of genetic variance for heading date and meiotic crossover rate.
G3-GENES GENOMES GENETICS
(2022)
Article
Plant Sciences
Lance F. Merrick, Adrienne B. Burke, Zhiwu Zhang, Arron H. Carter
Summary: This study aimed to dissect the genetic architecture of seedling emergence in wheat using one multi-trait genome-wide association study (MT-GWAS) and three single-trait GWAS (ST-GWAS) models. The ST-GWAS models identified 107 significant markers across 19 chromosomes, while the MT-GWAS identified 82 significant markers across 14 chromosomes. The FarmCPU and BLINK models were able to identify both small effect markers and large effect markers on chromosome 5A.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Genetics & Heredity
Lance F. Merrick, Dennis N. Lozada, Xianming Chen, Arron H. Carter
Summary: Most genomic prediction models assume continuous and normally distributed phenotypes, but some diseases are recorded in ordinal scales and percentages. This research compared classification and regression genomic selection models for skewed phenotypes and found that transformed regression models and support vector machine regression models had the highest accuracy and efficiency.
FRONTIERS IN GENETICS
(2022)
Article
Agronomy
Savannah N. Phipps, Adrienne B. Burke, Kerry Balow, Jared Smith, Timothy Murray, Arron H. Carter
Summary: This study investigated snow mold tolerance in winter wheat by analyzing a doubled haploid population derived from a cross between the Japanese variety PI 173438 and the susceptible variety WA 8137. Six quantitative trait loci (QTL) associated with snow mold tolerance were identified, with one QTL on chromosome 1D being previously unreported. Marker-assisted selection (MAS) testing showed no significant difference among the tested QTL and linked markers in separate populations. These findings highlight the complexity of breeding for snow mold tolerance using molecular markers.
Article
Plant Sciences
Katherine L. D. Running, Aliya Momotaz, Gayan K. Kariyawasam, Jason D. Zurn, Maricelis Acevedo, Arron H. Carter, Zhaohui Liu, Justin D. Faris
Summary: This study investigates the sensitivity of wheat lines carrying specific genes to the necrotrophic effector produced by the necrotrophic fungal pathogen Pyrenophora tritici-repentis (Ptr), which causes the foliar disease tan spot. The research maps the genetic markers and identifies candidate genes for the trait, providing a foundation for future cloning of the gene and development of genetically resistant cultivars.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agronomy
Lance F. Merrick, Andrew W. Herr, Karansher S. Sandhu, Dennis N. Lozada, Arron H. Carter
Summary: This review explores methods to optimize breeding programs for maximizing genetic gain and selection accuracy through genomic selection. These methods include reorganizing field designs, increasing the number of lines evaluated, and utilizing large amounts of genomic and phenotypic data.
Article
Biotechnology & Applied Microbiology
Meriem Aoun, Arron H. Carter, Craig F. Morris, Alecia M. Kiszonas
Summary: This study investigated the phenotypic and genotypic structure of 14 end-use quality traits in wheat breeding lines and cultivars. The results showed a complex genetic architecture for end-use quality traits and the challenges of selecting genotypes for multiple traits. The study also identified several important loci for selecting favorable alleles in breeding for end-use quality.
Article
Agronomy
Kimberly Garland-Campbell, Brian S. Bellinger, Arron H. Carter, Xianming Chen, Patricia DeMacon, Doug Engle, Christina H. Hagerty, Alecia Kiszonas, Emily Klarquist, Timothy Murray, Craig Morris, Clark Neely, Steven Odubiyi, Arash Rashad, Deven See, Camille Steber, Nuan Wen
Summary: Soft white club wheat is an important crop in the Pacific Northwest, mainly grown in central Washington but there is also interest in the Palouse region of Washington and Idaho. The 'Cameo' club wheat cultivar has been developed specifically for the Palouse region, with superior agronomic performance, resistance to stripe rust and other stresses, consistent grain quality and tolerance to low falling numbers. It is well suited for increasing the acreage of club wheat in the Palouse region.
JOURNAL OF PLANT REGISTRATIONS
(2022)
Article
Agronomy
Selena R. Lopez, Andrew T. Wiersma, Nikayla M. Strauss, Tara Watkins, Byung-Kee Baik, Guorong Zhang, Sunish K. Sehgal, Frederic L. Kolb, Jesse A. Poland, R. Esten Mason, Arron H. Carter, Eric L. Olson
Summary: Stripe rust has become a growing concern for wheat production. Although resistance genes have been successfully transferred to wheat, their use has been limited due to a lack of suitable germplasm. In this study, a wheat germplasm (U6719-004) carrying the YrAS2388R resistance gene was developed and found to be well adapted to US wheat production environments. The introduction of the resistance gene did not have a significant impact on grain yield or quality. The availability of U6719-004 will facilitate stripe rust resistance breeding efforts.
JOURNAL OF PLANT REGISTRATIONS
(2023)
Article
Agronomy
Savannah N. Phipps, Kerry Balow, Adrienne B. Burke, Anna Stowe, Jared H. Smith, Timothy Murray, Arron H. Carter
Summary: A mapping population was developed from a cross between two different types of wheat, and quantitative trait loci associated with snow mold tolerance were successfully identified in this population. Other traits related to snow mold tolerance were also discovered, and this population may be useful in identifying other novel traits of interest.
JOURNAL OF PLANT REGISTRATIONS
(2023)
Article
Genetics & Heredity
Osval A. Montesinos-Lopez, Arron H. Carter, David Alejandro Bernal-Sandoval, Bernabe Cano-Paez, Abelardo Montesinos-Lopez, Jose Crossa
Summary: Genomic prediction is changing the way plant breeding is done by allowing the selection of candidate genotypes without measuring their traits in the field. The success of this method depends on various factors, including the statistical machine learning method used. This study compares three tuning methods for the Gaussian kernel and finds that careful tuning is important for obtaining the best prediction performance. Grid search and Bayesian optimization were found to be the most effective tuning methods. The prediction performance improvements ranged from 2.1% to 27.8% across the six datasets analyzed.
Article
Agriculture, Multidisciplinary
Zhou Tang, Meinan Wang, Michael Schirrmann, Xianran Li, Robert Brueggeman, Sindhuja Sankaran, Arron H. Carter, Michael O. Pumphrey, Yang Hu, Xianming Chen, Zhiwu Zhang
Summary: In this study, a neural network-based image classifier called RustNet was developed to efficiently monitor wheat fields for stripe rust. The model uses deep learning to process images and videos captured from affordable devices, enabling high-throughput pheno-typing for early detection of rust and improved control efficiency.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Review
Agronomy
Andrew W. W. Herr, Alper Adak, Matthew E. E. Carroll, Dinakaran Elango, Soumyashree Kar, Changying Li, Sarah E. E. Jones, Arron H. H. Carter, Seth C. C. Murray, Andrew Paterson, Sindhuja Sankaran, Arti Singh, Asheesh K. K. Singh
Summary: High-throughput phenotyping (HTP) using unmanned aerial systems (UAS) is a promising tool for plant breeding and research. This review focuses on the application of UAS-collected data in cotton, maize, soybean, and wheat, illustrating how it can automate and improve estimation of phenotypic traits. The potential applications include measuring abiotic and biotic stress, crop growth and development, and productivity.
