Brian Cullis

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Competition modelling in sorghum plant breeding trials R-TIM model including pedigrees-distributional assumptions Often the so-called reduced rank form of a factor analytic model of order 1 often provides a more parsimonious fit. This model is equivalent to the random effects Draper and Guttman model, in which the neighbour and direct effects are given by, say for s = a, u an = ρ a u ad This model can be fitted using the extended factor analytic algorithm and these lead to rank one forms for G s given by G s = λ s λ ′ s where λ ′ s = (λ s1 ,λ s2 ) for s = a,ι. VSN Applied Statistics Conference 2011 Modelling variance structures of multi-term effects
Competition modelling in sorghum plant breeding trials R-TIM model including pedigrees-fitting the preferred model Recall the vector-matrix representation as Take a deep breath y = Xτ +Z g u a +Z g u ι +Z p u p +e VSN Applied Statistics Conference 2011 Modelling variance structures of multi-term effects
Page 1 and 2: Modelling variance structures of mu
Page 3 and 4: Linear mixed model The model Let y
Page 5 and 6: R-structures General Framework •
Page 7 and 8: Separability Direct products in R-s
Page 9 and 10: Separability Direct products in G-s
Page 11 and 12: Syntax for multi-term variance mode
Page 13 and 14: Multi-site toy example Recall: mult
Page 15 and 16: Salinity tolerance in bread wheat A
Page 17 and 18: Salinity tolerance in bread wheat P
Page 19 and 20: Salinity tolerance in bread wheat M
Page 21 and 22: Salinity tolerance in bread wheat M
Page 23 and 24: Competition modelling in sorghum pl
Page 29: Competition modelling in sorghum pl
Page 37 and 38: Partial compositing example from Sm

Brian Cullis

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