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Minimum resources for phenotyping morphological traits of maize (Zea mays L.) genetic resources

Published online by Cambridge University Press:  12 May 2008

Rodomiro Ortiz ,
José Crossa  and
Ricardo Sevilla
Rodomiro Ortiz*
Affiliation:
International Maize and Wheat Improvement Center (CIMMYT), Apartado Postal 6-641, 06600 Mexico DF, Mexico
José Crossa
Affiliation:
International Maize and Wheat Improvement Center (CIMMYT), Apartado Postal 6-641, 06600 Mexico DF, Mexico
Ricardo Sevilla
Affiliation:
Universidad Nacional Agraria, Avendia La Universidad S/N, La Molina, Lima, Peru
*
*Corresponding author. E-mail: r.ortiz@cgiar.org
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Abstract

The aim of this research was to use variance components to calculate total phenotypic variation for 12 vegetative and reproductive maize traits. A set of 59 accessions, belonging to nine Peruvian highland maize races, were grown at two consecutive planting seasons in 2 years at one inter-Andean site in northern Peru. The trial data provided a means for calculating the variance components using the restricted maximum-likelihood method. The variance components were assumed to be stable while the number of environments and replications varied to simulate phenotypic variation for each trait. The least number of environments and replications, which does not affect the precision of phenotyping, was selected for assessing each trait. Tabulated data provide the number of environments and replications that can be used as a reference for Peruvian highland trials to assess quantitative variation in plant and reproductive traits. The results suggest that fewer environments and replications are needed for reproductive than for plant traits because the former show higher heritability than vegetative traits.

Keywords

ear traitsheritabilityphenotypic varianceplant descriptorsquantitative variationreplication number
Type
Research Article
Information
Plant Genetic Resources , Volume 6 , Issue 3 , December 2008 , pp. 195 - 200
Copyright
Copyright © NIAB 2008

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References

Brush, S (1998) Bio-cooperation and the benefits of crop genetic resources: the case of Mexican maize. World Development 26: 755–766.CrossRefGoogle Scholar
Butler, DG, Redden, RJ, DeLacy, IH and Usher, T (2000) Analysis of line × environment interactions for yield in navy beans. 1. Components of variance. Australian Journal of Agricultural Research 51: 597–605.CrossRefGoogle Scholar
Dixon, AGO and Nukenine, EN (2000) Genotype × environment interaction and optimum resource allocation for yield and yield components of cassava. African Crop Science Journal 8: 1–10.CrossRefGoogle Scholar
Goodman, MM and Paterninani, E (1969) The races of maize. III: choices of appropriate characters for racial classification. Economic Botany 23: 265–273.Google Scholar
Grobman, A, Salhuana, W, Sevilla, R and Mangelsdorf, PC (1961) Races of Maize in Peru: Their Origins, Evolution and Classification. Washington, DC: National Academy of Sciences – National Research Council Publication 915.Google Scholar
Machado, V, Alvarez, M, Estigarribia, M, Molinas, C, Sevilla, R and Espinoza, M (1990) Análisis de la adaptación de cultivares de maíz en el Paraguay. In: XIII Reunión de Maiceros de la Zona Andina, Chiclayo, Perú, September 1988, pp. 295–311.Google Scholar
Obilana, AT and El-Rouby, MM (1980) Cultivar × environment interactions in sorghum, Sorghum bicolor (L.) Moench. Theoretical and Applied Genetics 56: 81–84.CrossRefGoogle ScholarPubMed
Ortiz, R (1991) Metodología de selección múltiple para rendimiento y estabilidad de cultivares de tomate para la exportación en Chile. AgroCiencia (Chile) 7: 135–142.Google Scholar
Ortiz, R and De Cauwer, I (1998/1999) Genotype-by-environment interaction and testing environments for plantain and banana (Musa spp. L.) breeding in west Africa. Tropicultura 16–17: 97–102.Google Scholar
Ortiz, R and Sevilla, R (1997) Quantitative descriptors for classification and characterization of highland Peruvian maize. Plant Genetic Resources Newsletter 110: 49–52.Google Scholar
Ortiz, R, Peloquin, SJ, Freyre, R and Iwanaga, M (1991) Efficiency of 4x × 2x breeding scheme in potato for multitrait selection and progeny testing. Theoretical and Applied Genetics 82: 602–608.Google Scholar
Sánchez, JJ, Goodman, MM and Rawlings, JO (1993) Appropriate characters for racial classification in maize. Economic Botany 47: 44–59.Google Scholar
SAS Institute Inc.(1999) SAS OnlineDoc®, Version 8. Cary, NC: SAS Institute Inc.Google Scholar
Schutz, WM and Bernard, RL (1967) Genotype × environment interactions in the regional testing of soybean strains. Crop Science 7: 125–130.Google Scholar