Person:
Crossa, J.

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Crossa
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Crossa, J.
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    User's manual for the LCDMV software (calculation software of molecular distances between varieties): for fingerprinting and genetic diversity studies
    (CIMMYT, 2003) Dubreuil, P.; Dillmann, C.; Warburton, M.; Crossa, J.; Franco, J.; Baril, C.
    LCDMV (in English, known as the Calculation Software of Molecular Distances between Varieties) is a computer program developed in the SAS language (SAS Institute Inc., version 6.12), with the help of the modules SAS-STAT, and SAS-IML. It was written to analyze biochemical markers (isozymes) or molecular markers (RFLP, STS, SSR, RAPD, AFLP) obtained on homogenous or heterogeneous varieties. Its main function is to estimate genetic distances between varieties, and to analyze the structure of the genetic makeup of a given collection of OTU’s (Operational Taxonomic Units).
    Publication
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    SAS macro for analysing unreplicated designs
    (CIMMYT, 2000) Burgueño, J.; Crossa, J.
    Augmented or unreplicated experiment designs have two type of treatments, the replicated checks and the unreplicated new entries. The latter are usually considered to be random effects while the checks treatments are considered as fixed effects. Augmented designs have several advantages over the systematic check arrangement such as more than one check can be included and standard errors of differences between unreplicated entries and between unreplicated entries and checks are available. The SAS macro presented in this manual analyzes unreplicated design when the repeated checks are arranged in incomplete blocks. Usually 4-6 different checks are repeated several times throughout the experiment and 2-3 checks are arranged in each incomplete block. The incomplete block has plots for checks and plots for the unreplicated genotypes.
    Publication
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    User's guide for spatial analysis of field variety trials using ASREML
    (CIMMYT, 2000) Burgueño, J.; Cadena, A.; Crossa, J.; Banziger, M.; Gilmour, A.; Cullis, B.
    This manual describes an approach to the spatial analysis of field experiments based on the software package AS residual maximum likelihood (ASREML; Gilmour et al. 1999). It describes common sources of spatial variation and explains how these can be identified and accounted for in an analysis.
    Publication