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We also have pedigree information for the 43 parents. In this dataset, each family is formed by between 1 and 16 individuals (with an average of 12.2). There were no reciprocal or self-pollinated crosses planned, but these can occur in other crops and they might need to be identified and modelled properly. In this dataset we have a total of 71 families that originated from 43 parents however, 20 of those parents were used as both males and females in different crosses. We will be using the adjusted mean values for this trait.
ASREML MANUAL FULL
A subset of the full dataset, corresponding to diameter at breast height (DBH, inches) measured at 6 years since planting at the Nassau (Florida, USA) site, is used here.
ASREML MANUAL SERIES
Individuals from these families were vegetatively propagated (cloned) and established in a series of field trials. Parents were crossed in a circular mating design, constituting several full-sib families.
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The data used here originates from a loblolly pine clonal study published by Resende _et al._ (2012). We will illustrate this here using an example of loblolly pine (_Pinus taeda_) in which some individuals, depending on the availability of pollen or flowers, were used in several artificial crosses as both male and female in the breeding program. This is done by _overlaying_ design matrices of the factors associated with male and female parents. In quantitative genetic analyses, monoecious species present a particular challenge, as a given parent can contribute to the estimation of its breeding value (or GCA) as both a male and a female, something that needs to be taken into consideration when a statistical model is fitted.
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Some examples of monoecious species are corn, squash, banana, and many conifers, particularly those of the genus _Pinus_.
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ASREML MANUAL 32 BIT
In contrast, dioecious species have distinctive male and female plants. ASReml 3.0 Alfalfa experiment - 12 varieties - Response Yield Build gt 32 bit 16:28:33.369 32 Mbyte Windows Alfalfa Licensed to: UFL 3 Contact .uk for licensing and support. However, several commercial plant species are monoecious, which means that a given genotype will bear both male and female flowers. In most cases it is easy to assign the sex of a given individual. In many plant breeding programs, a parent is considered in several crosses. Functions of variance components and their standard errors can be obtained from the vpredict() function. These BLUPs, which are the _general combining ability_ (GCA), or 1/2 of the _breeding value_ (BV, with BV = 2 ×× GCA) of each parent, are then used to select the best parents for future crosses or operational deployment. Supplementary note for new function vpredict() in ASReml-R version 4 Jin Sun vpredict() Compute functions of variance components and their approximate standard errors. Single record refers to the fact that animals have only one observation available. This is called animal model because we estimate a breeding value for each animal defined in the pedigree. Supakorn A single record animal model is the simplest mixed model used in animal breeding. The progeny are later evaluated in a field experiment, and this information is used to assess the genetic worth of the parents by fitting parental linear mixed models (LMMs) and obtaining best linear unbiased predictions (BLUPs). Single record animal model in ASReml-Standalone version C. Units!units 273.1669 410.0206 0.Most breeding programs plan several controlled crosses between outstanding parents to detect favorable alleles in their offspring. Assists in automating the testing of terms in mixed models when asreml is used to fit the models. Vm(Calf, harvey.ainv) 499.5204 500.5139 0.9980149 P 0 asremlPlus: Augments ASReml-R in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences. You need to fit the model on the component scale if you want to use vpredict and the s.e’s. Therefore, you have to be careful with vpredict as ASReml-R does not automatically convert variance ratios to variance components, or their standard errors.
ASREML MANUAL MANUAL
As the variance parameter names can sometimes be long or unwieldy, the variance parameters are represented in vpredict() by the strings “V1”, “V2”,: : : in the order in which they appear in the vparameters component of the ASReml object.īy default for simple models ASReml fits on the ‘gamma’ scale, which means that the returned variance components are variance ratios (For more details please see the ASReml-R Reference Manual Version 4). Vpredict() Compute functions of variance components and their approximate standard errors.įunctions of variance components and their standard errors can be obtained from the vpredict() function. Supplementary note for new function vpredict() in ASReml-R version 4