Results 51 to 60 of about 25,499,012 (214)

Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL variance [PDF]

, 2010
The objective of this simulation study was to compare the effect of the number of QTL and distribution of QTL variance on the accuracy of breeding values estimated with genomewide markers (MEBV).
Bovenhuis, H., Bastiaansen John WM, Bovenhuis Henk, van Arendonk Johan AM, Calus Mario PL, John W. M. Bastiaansen, Mario P. L. Calus, Coster, A., Albart Coster, Henk Bovenhuis, Bastiaansen, J.W.M., Calus, M.P.L., Johan A. M. van Arendonk, Arendonk, J.A.M., van, Coster Albart   +14 more
core   +1 more source

Dual Repression by IPA1 Fine‐Tunes OsbZIP79‐Mediated Salt Tolerance in Rice

Advanced Science, EarlyView.
Dual repression by IPA1 fine‐tunes OsbZIP79‐mediated salt tolerance in rice: direct transcriptional inhibition under normal conditions and salt‐induced degradation under stress. This dual mechanism activates OsbZIP79 to regulate Na+/K+ homeostasis and redox balance via downstream genes, enabling optimal salt stress response.
Hui Wang, Bo Liu, Can Hu, Chenfan Zheng, Yuting Wei, Xier Xu, Wei Yang, Yu Fang, Guangle Shen, Pedro García‐Caparros, Conghe Zhang, Qingyao Shu, Meng Jiang   +12 more
wiley   +1 more source

QTL analysis and fine mapping of a major QTL and identification of candidate genes controlling curd setting height in cauliflower

Vegetable Research
Curd setting height, a critical component of plant height, plays an important role in ideotype construction and yield improvement in cauliflower. However, the underlying mechanisms governing this trait in Brassica crops remain unclear.
Xiaoguang Sheng, Shiyi Cai, Yusen Shen, Huifang Yu, Jiansheng Wang, Shuting Qiao, Fan Lin, Honghui Gu   +7 more
doaj   +1 more source

Estimating genomic breeding values and detecting QTL using univariate and bivariate models [PDF]

, 2011
Background Genomic selection is particularly beneficial for difficult or expensive to measure traits. Since multi-trait selection is an important tool to deal with such cases, an important question is what the added value is of multi-trait genomic ...
Calus, M.P.L., Han A Mulder, Roel F Veerkamp, Veerkamp, R.F., Mulder, H.A., Mario PL Calus   +5 more
core   +1 more source

An Integrated Framework Coupling Hierarchical Hyperspectral i‐trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton

Advanced Science, EarlyView.
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Bowei Xu, Le Liu, Mengli Yu, Yuling Guo, Junli Ye, Jun Zhang, Rumeng Zhao, Jiajie Yang, Wanneng Yang, Yameng Xu, Liqiang Fan, Zuoren Yang   +11 more
wiley   +1 more source

Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs. [PDF]

PLoS ONE, 2017
Stable quantitative trait loci (QTL) are important for deployment in marker assisted selection in wheat (Triticum aestivum L.) and other crops. We reported QTL discovery in wheat using a population of 217 recombinant inbred lines and multiple statistical
Silvano O Assanga, Maria Fuentealba, Guorong Zhang, ChorTee Tan, Smit Dhakal, Jackie C Rudd, Amir M H Ibrahim, Qingwu Xue, Scott Haley, Jianli Chen, Shiaoman Chao, Jason Baker, Kirk Jessup, Shuyu Liu   +13 more
doaj   +1 more source

SGN Database: From QTLs to Genomes [PDF]

, 2009
Quantitative trait loci (QTL) analysis is used to dissect the genetic basis underlying polygenic traits. Several public databases have been storing and making QTL data available to research communities.
Naama Menda, Robert Buels, Lukas Mueller, Isaak Y. Tecle   +3 more
core   +1 more source

Developing a strain‐dependent susceptibility to hepatocellular carcinoma in a murine model based on histopathological evidence and genetic context

Animal Models and Experimental Medicine, EarlyView.
Using F1 (C57BL/6J/Smad4+/− X CC) mice, we found that partial loss of Smad4 promotes liver carcinogenesis in a strain‐dependent manner, highlighting the importance of genetic modifiers in tumor susceptibility. The use of Collaborative Cross mice provides a valuable platform for uncovering genotype‐specific cancer susceptibilities in preclinical ...
Osayd Zohud, Aysar Nashef, Imad Abu‐Elnaaj, Fuad A. Iraqi   +3 more
wiley   +1 more source

Stable, Environmental Specific and Novel QTL Identification as Well as Genetic Dissection of Fatty Acid Metabolism in Brassica napus

Frontiers in Plant Science, 2018
Fatty acid (FA) composition is the typical quantitative trait in oil seed crops, of which study is not only closely related to oil content, but is also more critical for the quality improvement of seed oil.
Binghao Bao, Hongbo Chao, Hao Wang, Weiguo Zhao, Weiguo Zhao, Lina Zhang, Nadia Raboanatahiry, Xiaodong Wang, Baoshan Wang, Haibo Jia, Maoteng Li, Maoteng Li   +11 more
doaj   +1 more source

Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population

Frontiers in Plant Science, 2022
Upland cotton (Gossypium hirsutum) has long been an important fiber crop, but the narrow genetic diversity of modern G. hirsutum limits the potential for simultaneous improvement of yield and fiber quality.
Peng Yang, Xiaoting Sun, Xueying Liu, Wenwen Wang, Yongshui Hao, Lei Chen, Jun Liu, Hailun He, Taorui Zhang, Wanyu Bao, Yihua Tang, Xinran He, Mengya Ji, Kai Guo, Dexin Liu, Zhonghua Teng, Dajun Liu, Jian Zhang, Zhengsheng Zhang   +18 more
doaj   +1 more source