Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yangjun Wen"'
Publikováno v:
Plants, Vol 13, Iss 17, p 2520 (2024)
Categorical (either binary or ordinal) quantitative traits are widely observed to measure count and resistance in plants. Unlike continuous traits, categorical traits often provide less detailed insights into genetic variation and possess a more comp
Externí odkaz:
https://doaj.org/article/ef18d56823f54009b9f555f42a1e268f
Autor:
Ganwen Zhang, Jianini Zhao, Jieru Wang, Guo Lin, Lin Li, Fengfei Ban, Meiting Zhu, Yangjun Wen, Jin Zhang
Publikováno v:
Mathematics, Vol 12, Iss 13, p 1944 (2024)
Genome-wide association studies (GWASs) are flexible and comprehensive tools for identifying single nucleotide polymorphisms (SNPs) associated with complex traits or diseases. The whole-genome Bayesian models are an effective way of incorporating imp
Externí odkaz:
https://doaj.org/article/007973c3e0ba458ca486b946b26cd6d1
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionOrdinal traits are important complex traits in crops, while genome-wide association study (GWAS) is a widely-used method in their gene mining. Presently, GWAS of continuous quantitative traits (C-GWAS) and single-locus association analysi
Externí odkaz:
https://doaj.org/article/8d3ff2d651024f7d91da6c98c4a9d008
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Rice, which supports more than half the population worldwide, is one of the most important food crops. Thus, potential yield-related quantitative trait nucleotides (QTNs) and QTN-by-environment interactions (QEIs) have been used to develop efficient
Externí odkaz:
https://doaj.org/article/907f1c92c56c456385fa3f3144587276
Publikováno v:
Crop Journal, Vol 8, Iss 5, Pp 723-732 (2020)
Owing to high power and accuracy and low false positive rate in our multi-locus approaches for genome-wide association studies and linkage analyses, these approaches have attracted considerable attention in plant and animal genetics. In large mapping
Externí odkaz:
https://doaj.org/article/830c3c2ac79c43afb4f17f69b0ca0d9b
Autor:
Ling Li, Xinyi Wu, Juncong Chen, Shengmeng Wang, Yuxuan Wan, Hanbing Ji, Yangjun Wen, Jin Zhang
Publikováno v:
Plants, Vol 11, Iss 19, p 2504 (2022)
Rice (Oryza sativa) is one of the most important cereal crops in the world, and yield-related agronomic traits, including plant height (PH), panicle length (PL), and protein content (PC), are prerequisites for attaining the desired yield and quality
Externí odkaz:
https://doaj.org/article/41d58d42689847a0ad46a28317dbbdf2
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Genome-wide association study (GWAS) has identified thousands of genetic variants associated with complex traits and diseases. Compared with analyzing a single phenotype at a time, the joint analysis of multiple phenotypes can improve statistical pow
Externí odkaz:
https://doaj.org/article/b6b81fda9e4b4cec95ce511e6befbeed
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
The mixed linear model (MLM) has been widely used in genome-wide association study (GWAS) to dissect quantitative traits in human, animal, and plant genetics. Most methodologies consider all single nucleotide polymorphism (SNP) effects as random effe
Externí odkaz:
https://doaj.org/article/873c0bd0c9e04b37963d0eb4512c8378