Cargando…

Editorial: Soybean molecular breeding and genetics

Detalles Bibliográficos
Autores principales:	Jiang, Guo-Liang, Rajcan, Istvan, Zhang, Yuan-Ming, Han, Tianfu, Mian, Rouf
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013459/ https://www.ncbi.nlm.nih.gov/pubmed/36925748 http://dx.doi.org/10.3389/fpls.2023.1157632

Ejemplares similares

SoyMAGIC: An Unprecedented Platform for Genetic Studies and Breeding Activities in Soybean
por: Hashemi, Seyed Mohammad, et al.
Publicado: (2022)

Genetic variation for effects of drought stress on yield formation traits among commercial soybean [Glycine max (L.) Merr.] cultivars adapted to Ontario, Canada
por: Gebre, Michael Gebretsadik, et al.
Publicado: (2022)

Genome-Wide Association Study of Soybean Germplasm Derived From Canadian × Chinese Crosses to Mine for Novel Alleles to Improve Seed Yield and Seed Quality Traits
por: Priyanatha, Chanditha, et al.
Publicado: (2022)

Comprehensive Analysis of Cytochrome P450 Monooxygenases Reveals Insight Into Their Role in Partial Resistance Against Phytophthora sojae in Soybean
por: Khatri, Praveen, et al.
Publicado: (2022)

Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods
por: Yoosefzadeh-Najafabadi, Mohsen, et al.
Publicado: (2021)

Using the Knowledge of Post-transcriptional Regulations to Guide Gene Selections for Molecular Breeding in Soybean
por: Ku, Yee-Shan, et al.
Publicado: (2022)

Speed-Breeding System in Soybean: Integrating Off-Site Generation Advancement, Fresh Seeding, and Marker-Assisted Selection
por: Fang, Yudong, et al.
Publicado: (2021)

The intervention of classical and molecular breeding approaches to enhance flooding stress tolerance in soybean – An review
por: Yijun, Guan, et al.
Publicado: (2022)

Editorial: Cucurbitaceae: multi-omics, functional analysis, and molecular breeding
por: Kong, Qiusheng, et al.
Publicado: (2023)

Genome-wide analysis of cold imbibition stress in soybean, Glycine max
por: Haidar, Siwar, et al.
Publicado: (2023)

Genome-Wide Association Study and Genomic Selection for Proteinogenic Methionine in Soybean Seeds
por: Singer, William M., et al.
Publicado: (2022)

Editorial: Genetics, breeding and engineering to enhance oil quality and yield
por: Chao, Hongbo, et al.
Publicado: (2023)

Editorial: Breeding for intercropping
por: Rubiales, Diego, et al.
Publicado: (2023)

CONSTANS Polymorphism Modulates Flowering Time and Maturity in Soybean
por: Awal Khan, Mohammad Abdul, et al.
Publicado: (2022)

Editorial: Genetics and genomics of plant reproduction for crop breeding, volume II
por: Barcaccia, Gianni, et al.
Publicado: (2023)

Editorial: Advances on genomics and genetics of horticultural crops and their contribution to breeding efforts
por: Xanthopoulou, Aliki, et al.
Publicado: (2023)

Editorial: Digitizing plant breeding: big data meets genetic mapping
por: Kim, Kyung Do, et al.
Publicado: (2023)

Advances in CRISPR/Cas9-based research related to soybean [Glycine max (Linn.) Merr] molecular breeding
por: Yao, Dan, et al.
Publicado: (2023)

Editorial: Omics technology in agriculture: molecular breeding for sustainable crop production
por: Chen, Zhiwen, et al.
Publicado: (2023)

Editorial: Translational Research for Cucurbit Molecular Breeding: Traits, Markers, and Genes
por: Weng, Yiqun, et al.
Publicado: (2020)

QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding
por: Kumawat, Giriraj, et al.
Publicado: (2016)

Establishment of a novel experimental system for studying the photoperiodic response of short-day dicots using soybean ‘cotyledon-only plant’ as material
por: Zhang, Chunlei, et al.
Publicado: (2023)

Editorial: Novel technologies for soybean improvement
por: Feng, Xianzhong, et al.
Publicado: (2022)

Editorial: Enviromics in Plant Breeding
por: Resende, Rafael Tassinari, et al.
Publicado: (2022)

Editorial: Advances in genetic engineering strategies for fruit crop breeding, volume II
por: Pandolfini, Tiziana, et al.
Publicado: (2023)

Editorial: Advanced breeding for abiotic stress tolerance in crops
por: Zhao, Tianlun, et al.
Publicado: (2023)

Identification of Candidate Genes and Genomic Selection for Seed Protein in Soybean Breeding Pipeline
por: Qin, Jun, et al.
Publicado: (2022)

Identification of Candidate Genes for a Major Quantitative Disease Resistance Locus From Soybean PI 427105B for Resistance to Phytophthora sojae
por: Karhoff, Stephanie, et al.
Publicado: (2022)

Editorial: Crop Breeding for Drought Resistance
por: Luo, Lijun, et al.
Publicado: (2019)

Editorial: Cannabis Genomics, Breeding and Production
por: Backer, Rachel, et al.
Publicado: (2020)

Editorial: Introgression Breeding in Cultivated Plants
por: Gramazio, Pietro, et al.
Publicado: (2021)

Molecular, genetic, and genomic basis of seed size and yield characteristics in soybean
por: Tayade, Rupesh, et al.
Publicado: (2023)

Improving Ultra-Low Temperature Preservation Technologies of Soybean Pollen for Off-Season and Off-Site Hybridization
por: Jia, Hongchang, et al.
Publicado: (2022)

Cataloging SCN resistance loci in North American public soybean breeding programs
por: Mahmood, Anser, et al.
Publicado: (2023)

Soybean Yield Formation Physiology – A Foundation for Precision Breeding Based Improvement
por: Vogel, Jonathan T., et al.
Publicado: (2021)

Editorial: A wonder legume, soybean: prospects for improvement
por: Ramlal, Ayyagari, et al.
Publicado: (2023)

The SoyaGen Project: Putting Genomics to Work for Soybean Breeders
por: Belzile, François, et al.
Publicado: (2022)

Editorial: Peanut genomics and biotechnology in breeding applications
por: Zhuang, Weijian, et al.
Publicado: (2023)

Editorial: Advances in breeding for waterlogging tolerance in crops
por: Ramlal, Ayyagari, et al.
Publicado: (2023)

Editorial: Crop breeding involving epigenetic inheritance
por: Raboy, Victor, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_5n1g7ee62u1h5n6l5mdbpep0fi