Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model
Authors
Keywords
SpATS Model, Spatial Trend, Local Trend, Spatial Method, Spatial Surface
Journal
THEORETICAL AND APPLIED GENETICS
Volume 130, Issue 7, Pages 1375-1392
Publisher
Springer Nature
Online
2017-04-04
DOI
10.1007/s00122-017-2894-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improving breeding efficiency through application of appropriate experimental designs and analysis models: A case of lentil (Lens culinaris Medikus subsp. culinaris) yield trials
- (2015) A. Sarker et al. FIELD CROPS RESEARCH
- A novel individual-tree mixed model to account for competition and environmental heterogeneity: a Bayesian approach
- (2015) Eduardo Pablo Cappa et al. Tree Genetics & Genomes
- Construction of more Flexible and Efficient P-rep Designs
- (2014) E.R. Williams et al. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
- The importance of phenotypic data analysis for genomic prediction - a case study comparing different spatial models in rye
- (2014) Angela-Maria Bernal-Vasquez et al. BMC GENOMICS
- Benefit of spatial analysis for furrow irrigated cotton breeding trials
- (2014) S. M. Liu et al. EUPHYTICA
- Supermodels: sorghum and maize provide mutual insight into the genetics of flowering time
- (2013) E. S. Mace et al. THEORETICAL AND APPLIED GENETICS
- Increased Genomic Prediction Accuracy in Wheat Breeding Through Spatial Adjustment of Field Trial Data
- (2013) Bettina Lado et al. G3-Genes Genomes Genetics
- Efficient two-dimensional smoothing with P-spline ANOVA mixed models and nested bases
- (2012) Dae-Jin Lee et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Getting the Most Out of Sorghum Low-Input Field Trials in West Africa Using Spatial Adjustment
- (2012) W. L. Leiser et al. JOURNAL OF AGRONOMY AND CROP SCIENCE
- Exploring and Exploiting Genetic Variation from Unadapted Sorghum Germplasm in a Breeding Program
- (2011) D. R. Jordan et al. CROP SCIENCE
- A COMPARISON OF ANALYSIS METHODS FOR LATE-STAGE VARIETY EVALUATION TRIALS
- (2010) Sue J. Welham et al. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
- Transferring Atlantic maritime pine improved material to a region with marked Mediterranean influence in inland NW Spain: a likelihood-based approach on spatially adjusted field data
- (2010) Raúl de la Mata et al. EUROPEAN JOURNAL OF FOREST RESEARCH
- Enhanced diagnostics for the spatial analysis of field trials
- (2009) Katia T. Stefanova et al. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
- Linear variance models for plant breeding trials
- (2009) H. P. Piepho et al. PLANT BREEDING
- Nearest Neighbour Adjustment and Linear Variance Models in Plant Breeding Trials
- (2008) Hans-Peter Piepho et al. BIOMETRICAL JOURNAL
- Smoothing fertility trends in agricultural field experiments
- (2008) Girma Taye et al. STATISTICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now