Genomic Bayesian confirmatory factor analysis and Bayesian network to characterize a wide spectrum of rice phenotypes

H Yu, MT Campbell, Q Zhang, H Walia… - G3: Genes, Genomes …, 2019 - academic.oup.com
With the advent of high-throughput phenotyping platforms, plant breeders have a means to
assess many traits for large breeding populations. However, understanding the genetic …

Gene based markers improve precision of genome-wide association studies and accuracy of genomic predictions in rice breeding

C Anilkumar, TP Muhammed Azharudheen, RP Sah… - Heredity, 2023 - nature.com
It is hypothesized that the genome-wide genic markers may increase the prediction accuracy
of genomic selection for quantitative traits. To test this hypothesis, a set of candidate gene …

Analysis of trait heritability in functionally partitioned rice genomes

J Wei, W Xie, R Li, S Wang, H Qu, R Ma, X Zhou, Z Jia - Heredity, 2020 - nature.com
Abstract Knowledge of the genetic architecture of importantly agronomical traits can speed
up genetic improvement in cultivated rice (Oryza sativa L.). Many recent investigations have …

[HTML][HTML] Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies

M Momen, MT Campbell, H Walia, G Morota - Plant methods, 2019 - Springer
Background Plant breeders seek to develop cultivars with maximal agronomic value, which
is often assessed using numerous, often genetically correlated traits. As intervention on one …

[HTML][HTML] Genome-wide association study and Mendelian randomization analysis provide insights for improving rice yield potential

J Su, K Xu, Z Li, Y Hu, Z Hu, X Zheng, S Song… - Scientific Reports, 2021 - nature.com
Rice yield per plant has a complex genetic architecture, which is mainly determined by its
three component traits: the number of grains per panicle (GPP), kilo-grain weight (KGW) …

[HTML][HTML] Multi-locus genome-wide association studies for five yield-related traits in rice

H Zhong, S Liu, T Sun, W Kong, X Deng, Z Peng, Y Li - BMC Plant Biology, 2021 - Springer
Background Improving the overall production of rice with high quality is a major target of
breeders. Mining potential yield-related loci have been geared towards developing efficient …

[HTML][HTML] Genetic variation and association mapping for 12 agronomic traits in indica rice

Q Lu, M Zhang, X Niu, S Wang, Q Xu, Y Feng, C Wang… - BMC genomics, 2015 - Springer
Abstract Background Increasing rice (Oryza sativa L.) yield is a crucial challenge for modern
agriculture. The ideal plant architecture is considered to be critical to enhance rice yield …

Haplotype analysis of key genes governing grain yield and quality traits across 3K RG panel reveals scope for the development of tailor‐made rice with enhanced …

R Abbai, VK Singh, VV Nachimuthu… - Plant biotechnology …, 2019 - Wiley Online Library
Though several genes governing various major traits have been reported in rice, their
superior haplotype combinations for developing ideal variety remains elusive. In this study …

[HTML][HTML] Genome-wide association study reveals novel genomic regions governing agronomic and grain quality traits and superior allelic combinations for Basmati …

KP Abhijith, S Gopala Krishnan, KT Ravikiran… - Frontiers in Plant …, 2022 - frontiersin.org
Background Basmati is a speciality segment in the rice genepool characterised by explicit
grain quality. For the want of suitable populations, genome-wide association study (GWAS) …

[PDF][PDF] Genome-wide association studies in rice: how to solve the low power problems?

X Zhou, X Huang - Molecular plant, 2019 - cell.com
In human genetics, genome-wide association study (GWAS) is a commonly used method for
discovering genes and genetic variants contributing to human traits, usually through …