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Genetic effects of the critical factors of sugary1 fitness

Published online by Cambridge University Press:  09 January 2015

A. DJEMEL*
Affiliation:
Misión Biológica de Galicia (CSIC), Pontevedra, Spain École Nationale Supérieure Agronomique – L-RGB, Alger, Algeria
B. ORDÁS
Affiliation:
Misión Biológica de Galicia (CSIC), Pontevedra, Spain
L. HANIFI-MEKLICHE
Affiliation:
École Nationale Supérieure Agronomique – L-RGB, Alger, Algeria
L. KHELIFI
Affiliation:
École Nationale Supérieure Agronomique – L-RGB, Alger, Algeria
A. ORDÁS
Affiliation:
Misión Biológica de Galicia (CSIC), Pontevedra, Spain
P. REVILLA
Affiliation:
Misión Biológica de Galicia (CSIC), Pontevedra, Spain
*
*To whom all correspondence should be addressed. Email: [email protected]

Summary

The present study was designed to estimate the effects of the mutant su1 on the genetic regulation of fitness-related traits when introgressed into field maize backgrounds. Estimated genetic effects of agronomic traits in Su1 v. su1 plants were monitored in two separate mean generation designs. The first involved unrelated inbred lines EP42 and A631, while two Corn Belt inbred lines, A619 and A632, were used for the second design. Parents, F1s, F2s and backcrosses were crossed to the su1 inbred P39 as the donor of su1 and the 12 crosses were successively self-pollinated for 5 years. For each cross, Su1 and su1 kernels were evaluated separately in a growth chamber under controlled environmental conditions following a randomized complete block design. In addition, the genotypes were evaluated in field trials in 10 × 10 triple lattice designs during 2010 and 2011 at Pontevedra in north-western Spain; and in 2010 at Algiers, located in the sub-humid North of Algeria. The performance of su1 plants was lower when compared to the Su1 plants for all traits evaluated in both designs and across environments. The estimates of genetic effects of Su1 v. su1 plants were strongly affected by genotype and environment. The results suggest that, depending on specific sweet × field maize interaction, seedling vigour and, particularly, chlorophyll content (CCM) were the most critical traits in determining su1 viability. However, the complexity of the genetic regulation of emergence and the great heterogeneity of environmental conditions in the field evaluation prevent the estimation of the genetic regulation on sugary1 fitness.

Type
Crops and Soils Research Papers
Copyright
Copyright © Cambridge University Press 2015 

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References

REFERENCES

Alonso Ferro, R. C., Malvar, R. A., Revilla, P., Ordás, A., Castro, P. & Moreno-Gonzalez, J. (2008). Genetics of quality and agronomic traits in hard endosperm maize. Journal of Agricultural Science, Cambridge 146, 551560.CrossRefGoogle Scholar
Cartea, M. E., Malvar, R. A., Revilla, P. & Ordás, A. (1996 a). Identification of field corn populations to improve sweet corn for Atlantic European conditions. Crop Science 36, 15061512.CrossRefGoogle Scholar
Cartea, M. E., Malvar, R. A., Revilla, P. & Ordás, A. (1996 b). Improvement of early vigor and adaptation of sweet corn to the European Atlantic coast with open-pollinated field corn populations. Maydica 41, 119125.Google Scholar
Cisneros-López, M. E., Mendoza-Onofre, L. E., Zavaleta-Mancera, H. A., González-Hernández, V. A., Mora-Aguilera, G., Córdova-Téllez, L. & Hernández-Mártinez, M. (2010). Pollen-pistil interaction, pistil histology and seed production in A × B grain sorghum crosses under chilling field temperatures. Journal of Agricultural Science, Cambridge 148, 7382.CrossRefGoogle Scholar
Cochran, W. G. & Cox, G. M. (1992). Experimental Designs, 2nd edn.New York: John Wiley and Sons, Inc.Google Scholar
Djemel, A., Ordás, B., Khelifi, L., Ordás, A. & Revilla, P. (2011). Genetic effects on fitness of the mutant sugary1 in wild-type maize. Journal of Agricultural Science, Cambridge 150, 603609.CrossRefGoogle Scholar
Djemel, A., Romay, M. C., Revilla, P., Khelifi, L., Ordás, A. & Ordás, B. (2012). Genomic regions affecting fitness of the sweet corn mutant sugary1. Journal of Agricultural Science, Cambridge 151, 396406.CrossRefGoogle Scholar
Haber, E. S. (1954). Dent, flint, flour, and waxy maize for the improvement of sweet corn inbreds. Proceedings of the American Society of Horticultural Science 46, 293294.Google Scholar
Juvik, J. A., Yousef, G. G., Tae-Ho, H., Tadmor, Y., Azanza, F., Tracy, W. F., Barzur, A. & Rocheford, T. R. (2003). QTL influencing kernel chemical composition and seedling stand establishment in sweet corn with the shrunken2 and sugary enhancer1 endosperm mutations. Journal of the American Society for Horticultural Science 128, 864875.CrossRefGoogle Scholar
Kearsey, M. J. & Pooni, H. S. (1996). The Genetical Analysis of Quantitative Traits. New York: Chapman and Hall.CrossRefGoogle Scholar
Malvar, R. A., Cartea, M. E., Revilla, P. & Ordás, A. (1997 a). Identification of field corn inbreds adapted to Europe to improve agronomic performance of sweet corn hybrids. Crop Science 37, 11341141.CrossRefGoogle Scholar
Malvar, R. A., Revilla, P., Cartea, M. E. & Ordás, A. (1997 b). Field corn inbreds to improve sweet corn hybrids for early vigor and adaptation to European conditions. Maydica 42, 247255.Google Scholar
Martins, M. E. Q. P. & Da Silva, W. J. (1998). Genic and genotypic frequencies of endosperm mutants in maize populations under natural selection. Journal of Heredity 89, 516524.CrossRefGoogle Scholar
Mather, K. & Jinks, J. L. (1982). Biometrical Genetics: The Study of Continuous Variation, 3rd edn.New York: Chapman and Hall.CrossRefGoogle Scholar
Ordás, B., Rodríguez, V. M., Romay, M. C., Malvar, R. A., Ordás, A. & Revilla, P. (2010). Adaptation of super-sweet maize to cold conditions: mutant × genotype interaction. Journal of Agricultural Science, Cambridge 148, 401405.CrossRefGoogle Scholar
Revilla, P. & Tracy, W. F. (1997). Heterotic patterns among open-pollinated sweet corn cultivars. Journal of the American Society for Horticultural Science 122, 319324.CrossRefGoogle Scholar
Revilla, P., Malvar, R. A., Abuín, M. C., Ordás, B., Soengas, P. & Ordás, A. (2000). Genetic background effect on germination of su1 maize and viability of the su1 allele. Maydica 45, 109111.Google Scholar
Revilla, P., Malvar, R. A., Rodríguez, V. M., Butrón, A., Ordás, B. & Ordás, A. (2006 a). Variation of sugary1 and shrunken2 gene frequency in different maize genetic backgrounds. Plant Breeding 125, 478481.CrossRefGoogle Scholar
Revilla, P., Rodríguez, V. M., Malvar, R. A., Butrón, A. & Ordás, A. (2006 b). Comparison among sweet corn heterotic patterns. Journal of the American Society for Horticultural Science 131, 388392.CrossRefGoogle Scholar
Revilla, P., Malvar, R. A., Ordás, B., Rodríguez, V. M. & Ordás, A. (2010). Genotypic effects on field performance of maize plants carrying the allele sugary1. Plant Breeding 129, 9295.CrossRefGoogle Scholar
SAS Institute (2005). The SAS System. Version 9. Cary, North Carolina, USA: SAS Institute.Google Scholar
Tracy, W. F. (1990 a). Potential of field corn germplasm for the improvement of sweet corn. Crop Science 30, 10411045.CrossRefGoogle Scholar
Tracy, W. F. (1990 b). Potential contribution of five exotic maize populations to sweet corn improvement. Crop Science 30, 918923.CrossRefGoogle Scholar
Tracy, W. F. (2001). Sweet corn. In Specialty Corns (Ed. Hallauer, A. R.), pp. 155199. Boca Raton, Florida, USA: CRC Press.Google Scholar
Yousef, G. G. & Juvik, J. A. (2002). Enhancement of seedling emergence in sweet corn by marker-assisted backcrossing of beneficial QTL. Crop Science 42, 96104.Google ScholarPubMed
Zhang, K., Li, Y. & Lian, L. (2011). Pollen-mediated transgene flow in maize grown in the Huang-Huai-Hai region in China. Journal of Agricultural Science, Cambridge 149, 205216.CrossRefGoogle Scholar