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Improved methodologies for breeding Striga-resistant sorghums
BIG Haussmann, DE Hess, HG Welz, HH Geiger - Field Crops Research, 2000 - Elsevier
Parasitic flowering weeds of the genus Striga (Scrophulariaceae) cause substantial losses
in sorghum [Sorghum bicolor (L.) Moench] production in sub-Saharan Africa. Striga-resistant …
in sorghum [Sorghum bicolor (L.) Moench] production in sub-Saharan Africa. Striga-resistant …
[PDF][PDF] ASReml-R reference manual version 4
DG Butler, BR Cullis, AR Gilmour… - … , HP1 1ES, UK, 2017 - asreml.kb.vsni.co.uk
ASReml-R is a statistical package that fits linear mixed models using Residual Maximum
Likelihood (REML) in the R environment. This package uses the same computational kernel …
Likelihood (REML) in the R environment. This package uses the same computational kernel …
[PDF][PDF] ASReml user guide release 4.1 structural specification
AR Gilmour, BJ Gogel, BR Cullis… - … : VSN international ltd, 2015 - hpc.iastate.edu
ASReml is a statistical package that fits linear mixed models using Residual Maximum
Likelihood (REML). It has been under development since 1993 and arose out of …
Likelihood (REML). It has been under development since 1993 and arose out of …
[CARTE][B] Generalized linear mixed models: modern concepts, methods and applications
WW Stroup - 2012 - books.google.com
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents
an introduction to linear modeling using the generalized linear mixed model (GLMM) as an …
an introduction to linear modeling using the generalized linear mixed model (GLMM) as an …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
ASReml user guide release 3.0
AR Gilmour, BJ Gogel, BR Cullis, R Thompson - 2009 - repository.rothamsted.ac.uk
ASReml is a statistical package that fits linear mixed models using Residual Maximum
Likelihood (REML). It has been under development since 1993 and is a joint venture …
Likelihood (REML). It has been under development since 1993 and is a joint venture …
Nearest neighbour adjustment and linear variance models in plant breeding trials
HP Piepho, C Richter, E Williams - Biometrical Journal, 2008 - Wiley Online Library
This paper reviews methods for nearest neighbour analysis that adjust for local trend in one
dimension. Such methods are commonly used in plant breeding and variety testing. The …
dimension. Such methods are commonly used in plant breeding and variety testing. The …
[CARTE][B] Statistical methods for spatial data analysis
O Schabenberger, CA Gotway - 2017 - taylorfrancis.com
Understanding spatial statistics requires tools from applied and mathematical statistics,
linear model theory, regression, time series, and stochastic processes. It also requires a …
linear model theory, regression, time series, and stochastic processes. It also requires a …
[PDF][PDF] ASReml-R reference manual
DG Butler, BR Cullis, AR Gilmour, BJ Gogel - The State of Queensland …, 2009 - Citeseer
ASReml-R fits the linear mixed model using Residual Maximum Likelihood (REML) and is a
joint venture between the Queensland Department of Primary Industries & Fisheries …
joint venture between the Queensland Department of Primary Industries & Fisheries …
[CARTE][B] Spatial data analysis in ecology and agriculture using R
RE Plant - 2018 - taylorfrancis.com
Key features: Unique in its combination of serving as an introduction to spatial statistics and
to modeling agricultural and ecological data using R Provides exercises in each chapter to …
to modeling agricultural and ecological data using R Provides exercises in each chapter to …