Cargando…

Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction in Rice

The multi-environment genomic selection enables plant breeders to select varieties resilient to diverse environments or particularly adapted to specific environments, which holds a great potential to be used in rice breeding. To realize the multi-environment genomic selection, a robust training set...

Descripción completa

Detalles Bibliográficos
Autores principales:	He, Sang, Liang, Shanshan, Meng, Lijun, Cao, Liyong, Ye, Guoyou
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer US 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247604/ https://www.ncbi.nlm.nih.gov/pubmed/37284992 http://dx.doi.org/10.1186/s12284-023-00643-2

Ejemplares similares

Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population
por: Chen, Liang, et al.
Publicado: (2023)

Multi-Trait Genomic Prediction Models Enhance the Predictive Ability of Grain Trace Elements in Rice
por: Muvunyi, Blaise Pascal, et al.
Publicado: (2022)

Validation of genes affecting rice mesocotyl length through candidate association analysis and identification of the superior haplotypes
por: Wang, Yamei, et al.
Publicado: (2023)

Improving Selection Efficiency of Crop Breeding With Genomic Prediction Aided Sparse Phenotyping
por: He, Sang, et al.
Publicado: (2021)

Comparison of the Accuracy of Epistasis and Haplotype Models for Genomic Prediction of Seven Human Phenotypes
por: Liang, Zuoxiang, et al.
Publicado: (2023)

The Rice Cation/H(+) Exchanger Family Involved in Cd Tolerance and Transport
por: Zou, Wenli, et al.
Publicado: (2021)

Advances in Sensing, Response and Regulation Mechanism of Salt Tolerance in Rice
por: Ponce, Kimberly S., et al.
Publicado: (2021)

Maximum parsimony xor haplotyping by sparse dictionary selection
por: Elmas, Abdulkadir, et al.
Publicado: (2013)

Sparse Tensor Decomposition for Haplotype Assembly of Diploids and Polyploids
por: Hashemi, Abolfazl, et al.
Publicado: (2018)

Advances in the Uptake and Transport Mechanisms and QTLs Mapping of Cadmium in Rice
por: Chen, Jingguang, et al.
Publicado: (2019)

Haplotype Analysis of Genomic Prediction Using Structural and Functional Genomic Information for Seven Human Phenotypes
por: Liang, Zuoxiang, et al.
Publicado: (2020)

Genome-Wide Association Study for Squalene Contents and Functional Haplotype Analysis in Rice
por: Wang, Xiao-Qiang, et al.
Publicado: (2019)

Association Mapping of Ferrous, Zinc, and Aluminum Tolerance at the Seedling Stage in Indica Rice using MAGIC Populations
por: Meng, Lijun, et al.
Publicado: (2017)

CRISPR-Based Genome Editing: Advancements and Opportunities for Rice Improvement
por: Zegeye, Workie Anley, et al.
Publicado: (2022)

Mapping QTLs and gene validation studies for Mg(2+) uptake and translocation using a MAGIC population in rice
por: Zhi, Shuai, et al.
Publicado: (2023)

Rapid Identification of QTL for Mesocotyl Length in Rice Through Combining QTL-seq and Genome-Wide Association Analysis
por: Wang, Yamei, et al.
Publicado: (2021)

OsNAC15 Regulates Tolerance to Zinc Deficiency and Cadmium by Binding to OsZIP7 and OsZIP10 in Rice
por: Zhan, Junhui, et al.
Publicado: (2022)

Genetic Dissection of Leaf Senescence in Rice
por: Leng, Yujia, et al.
Publicado: (2017)

Genomic prediction with haplotype blocks in wheat
por: Difabachew, Yohannes Fekadu, et al.
Publicado: (2023)

Maximum-parsimony haplotype frequencies inference based on a joint constrained sparse representation of pooled DNA
por: Jajamovich, Guido H, et al.
Publicado: (2013)

Genomic Prediction Using LD-Based Haplotypes in Combined Pig Populations
por: Ye, Haoqiang, et al.
Publicado: (2022)

Genome-Wide Association Study for Seed Dormancy Using Re-Sequenced Germplasm under Multiple Conditions in Rice
por: Chen, Dandan, et al.
Publicado: (2023)

The effect of using genealogy-based haplotypes for genomic prediction
por: Edriss, Vahid, et al.
Publicado: (2013)

Sparse Convolutional Neural Networks for Genome-Wide Prediction
por: Waldmann, Patrik, et al.
Publicado: (2020)

Haplotype genomic prediction of phenotypic values based on chromosome distance and gene boundaries using low-coverage sequencing in Duroc pigs
por: Bian, Cheng, et al.
Publicado: (2021)

Training Set Optimization for Sparse Phenotyping in Genomic Selection: A Conceptual Overview
por: Isidro y Sánchez, Julio, et al.
Publicado: (2021)

Haplotype-based allele mining in the Japan-MAGIC rice population
por: Ogawa, Daisuke, et al.
Publicado: (2018)

Sparse Modeling
por: Rish, Irina, et al.
Publicado: (2014)

Effects of the number of markers per haplotype and clustering of haplotypes on the accuracy of QTL mapping and prediction of genomic breeding values
por: Calus, Mario PL, et al.
Publicado: (2009)

Genome-Wide Association Study of Grain Size Traits in Indica Rice Multiparent Advanced Generation Intercross (MAGIC) Population
por: Ponce, Kimberly, et al.
Publicado: (2020)

Genome-wide and gene-based association mapping for rice eating and cooking characteristics and protein content
por: Wang, Xiaoqian, et al.
Publicado: (2017)

Functional Haplotype and eQTL Analyses of Genes Affecting Cadmium Content in Cultivated Rice
por: Lee, Sang-Beom, et al.
Publicado: (2019)

Sparse Parallel MRI Based on Accelerated Operator Splitting Schemes
por: Cai, Nian, et al.
Publicado: (2016)

Genomic landscape of the OsTPP7 gene in its haplotype diversity and association with anaerobic germination tolerance in rice
por: Aung, Kyaw Myo, et al.
Publicado: (2023)

Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials
por: Jarquin, Diego, et al.
Publicado: (2020)

Optimizing Sparse Testing for Genomic Prediction of Plant Breeding Crops
por: Montesinos-López, Osval A., et al.
Publicado: (2023)

Exploiting sparseness in de novo genome assembly
por: Ye, Chengxi, et al.
Publicado: (2012)

Molecular haplotyping by linking emulsion PCR: analysis of paraoxonase 1 haplotypes and phenotypes
por: Wetmur, James G., et al.
Publicado: (2005)

Genome-Wide Haplotype Changes Produced by Artificial Selection during Modern Rice Breeding in Japan
por: Yonemaru, Jun-ichi, et al.
Publicado: (2012)

Whole Genome Resequencing from Bulked Populations as a Rapid QTL and Gene Identification Method in Rice
por: Zegeye, Workie Anley, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_3rrt2k0c7q6roc9ddtii0opdal