Results 51 to 60 of about 3,820,379 (274)

A classic approach for determining genomic prediction accuracy under terminal drought stress and well-watered conditions in wheat landraces and cultivars.

PLoS ONE, 2021
The present study aimed to improve the accuracy of genomic prediction of 16 agronomic traits in a diverse bread wheat (Triticum aestivum L.) germplasm under terminal drought stress and well-watered conditions in semi-arid environments.
Morteza Shabannejad, Mohammad-Reza Bihamta, Eslam Majidi-Hervan, Hadi Alipour, Asa Ebrahimi   +4 more
doaj   +1 more source

The big challenge for livestock genomics is to make sequence data pay [PDF]

arXiv, 2023
This paper will argue that one of the biggest challenges for livestock genomics is to make whole-genome sequencing and functional genomics applicable to breeding practice. It discusses potential explanations for why it is so difficult to consistently improve the accuracy of genomic prediction by means of whole-genome sequence data, and three potential ...
arxiv  

Το λογισμικό SpatialAnalyzer & εφαρμογές του σε προβλήματα βιομηχανικής γεωδαισίας [PDF]

, 2014
This paper reports a first study exploring genomic prediction for adaptation of sorghum [Sorghum bicolor (L.) Moench] to drought-stress (D-ET) and nonstress (W-ET) environment types.
Atlin G. N., Borrell A. K., Bustos‐Korts D., Bustos‐Korts D., Butler D. G., Colleen H. Hunt, Cooper M., Cuevas J., David R. Jordan, Eeuwijk F. A., Eeuwijk F. A., Emma S. Mace, Fred A. Eeuwijk, Julio G. Velazco, Lehermeier C., Lopez‐Cruz M., Melchinger A. E., Oakey H., Rodríguez‐Álvarez M. X., Sukumaran S., Zhang Y.   +20 more
core   +1 more source

Genomic Prediction of Agronomic Traits in Common Bean (Phaseolus vulgaris L.) Under Environmental Stress

Frontiers in Plant Science, 2020
In plant and animal breeding, genomic prediction models are established to select new lines based on genomic data, without the need for laborious phenotyping.
B. Keller, Daniel Ariza-Suarez, J. F. De la Hoz, Johan S. Aparicio, Ana Elisabeth Portilla-Benavides, H. F. Buendia, Victor Manuel Mayor, B. Studer, B. Raatz   +8 more
semanticscholar   +1 more source

GVCHAP: A Computing Pipeline for Genomic Prediction and Variance Component Estimation Using Haplotypes and SNP Markers

Frontiers in Genetics, 2020
Haplotype prediction models open many possibilities to improve the accuracy of genomic selection but require more data processing and computing time than single-SNP prediction models. To facilitate haplotype analysis for genomic prediction and estimation
Dzianis Prakapenka, Chunkao Wang, Zuoxiang Liang, Cheng Bian, Cheng Bian, Cheng Tan, Cheng Tan, Yang Da   +7 more
doaj   +1 more source

Improving the value of public RNA-seq expression data by phenotype prediction. [PDF]

, 2018
Publicly available genomic data are a valuable resource for studying normal human variation and disease, but these data are often not well labeled or annotated.
Andrew Jaffe, Aryee, Beery, Bernstein, Collado-Torres, Collado-Torres, Consortium, Denk, Eswaran, Frazee, Goodspeed, Houseman, Iorio, Irizarry, Jeffrey T Leek, Kalari, Kim, Leek, Leinonen, Leonardo Collado-Torres, Lister, Liu, Lonsdale, Mazure, Mortazavi, Nagalakshmi, Nellore, Pohl, Ritchie, Robinson, Seqc/Maqc-Iii Consortium., Shannon E Ellis, Smallridge, Toker   +33 more
core   +2 more sources

Applications of Support Vector Machine in Genomic Prediction in Pig and Maize Populations

Frontiers in Genetics, 2020
Genomic prediction (GP) has revolutionized animal and plant breeding. However, better statistical models that can improve the accuracy of GP are required.
Wei Zhao, Xueshuang Lai, Dengying Liu, Zhenyang Zhang, P. Ma, Qishan Wang, Zhe Zhang, Yuchun Pan   +7 more
semanticscholar   +1 more source

Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds

BMC Genomics, 2017
Background A better understanding of the genetic architecture underlying complex traits (e.g., the distribution of causal variants and their effects) may aid in the genomic prediction.
Lingzhao Fang, Goutam Sahana, Peipei Ma, Guosheng Su, Ying Yu, Shengli Zhang, Mogens Sandø Lund, Peter Sørensen   +7 more
doaj   +1 more source

Preselecting Variants from Large-Scale Genome-Wide Association Study Meta-Analyses Increases the Genomic Prediction Accuracy of Growth and Carcass Traits in Large White Pigs

Animals, 2023
Preselected variants associated with the trait of interest from genome-wide association studies (GWASs) are available to improve genomic prediction in pigs.
Chen Wei, Chengjie Chang, Wenjing Zhang, Duanyang Ren, Xiaodian Cai, Tianru Zhou, Shaolei Shi, Xibo Wu, Jinglei Si, Xiaolong Yuan, Jiaqi Li, Zhe Zhang   +11 more
doaj   +1 more source

The value of expanding the training population to improve genomic selection models in tetraploid potato [PDF]

, 2018
Genomic selection (GS) is becoming increasingly applicable to crops as the genotyping costs continue to decrease, which makes it an attractive alternative to traditional selective breeding based on observed phenotypes. With genome-wide molecular markers,
Albrecht, Arruda, Ashraf, Ashraf, Bates, De Roos, Elshire, Gianola, Goddard, Gowda, Grenier, Habier, Habier, Halterman, Heffner, Heffner, Heslot, Iheshiulor, Jannink, Lorenz, Lorenz, Lorenzana, Luan, McKenna, Meuwissen, Muir, Onogi, Poland, Rutkoski, Sato, Sharma, Shengqiang, Slater, Sverrisdóttir, VanRaden, Windhausen, Xu, Zhao   +37 more
core   +7 more sources