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Sashaydiall: A SAS program for hayman’s diallel analysis

Author: Makumbi, D.
Author: Alvarado Beltrán, G.
Author: Crossa, J.
Author: Burgueño, J.
Year: 2018
URI: https://hdl.handle.net/10883/19542
Abstract: Different methods of diallel crossing are commonly used in plant breeding. The diallel cross analysis method proposed by Hayman is particularly useful because it provides information, among others, on additive and dominance effects of genes, average degree of dominance, proportion of dominance, direction of dominance, distribution of genes, maternal and reciprocal effects, number of groups of genes that control a trait and exhibit dominance, ratio of dominant to recessive alleles in all the parents, and broadsense and narrow-sense heritability. In this paper, we fully describe a SAS-based software SASHAYDIALL for performing a complete diallel cross analysis based on Hayman’s model with or without reciprocals. We demonstrate the use of SASHAYDIALL with two data sets; one is a published diallel cross data set with reciprocals in cabbage (Brassica oleracea L.), and the second is a data set from a multilocation diallel cross trial in maize (Zea mays L.) without reciprocals. With SASHAYDIALL, diallel experiments conducted in single sites can be analyzed to estimate various genetic parameters, and this analysis is extended over locations or environments to assess genetic effect ´ environment interaction. SASHAYDIALL is user-friendly software that provides detailed genetic information from diallel crosses involving any number of parents and locations.
Format: PDF
Language: English
Publisher: Crop Science Society of America (CSSA)
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Madison, USA
Pages: 1605-1615
Issue: 4
Volume: 58
DOI: 10.2135/cropsci2018.01.0047
Agrovoc: DIALLEL ANALYSIS
Agrovoc: PLANT BREEDING
Agrovoc: CABBAGES
Agrovoc: MAIZE
Agrovoc: STATISTICAL METHODS
Related Datasets: http://hdl.handle.net/11529/10548045
Journal: Crop Science


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  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

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