|
|
||||||||
a INRA-INAPG-UPS, Station de Génétique Végétale, Ferme du Moulon, F91190 Gif sur Yvette
b Association Générale des Producteurs de Maïs, Station expérimentale, F91720 Boigneville
c INRA, Station de Biométrie, Route de Saint-Cyr, F78026 Versailles
d INRA, Unité de recherche en Bioclimatologie, F78850 Thiverval-Grignon
e Rustica-Prograin Génétique, 117 avenue de Vendôme, F41000 BLOIS
* Corresponding author (charcos{at}moulon.inra.fr)
Genotype x environment interaction was investigated for grain yield of early maize (Zea mays L.) hybrids. Data were obtained from the French Association Générale des Producteurs de Maïs trial network and included 132 hybrids and 229 environments over 12 yr, following an unbalanced design. Analysis of genotype x environment interaction was done for the 1-yr data sets, for the two successive years data sets, and for the 12-yr data set. The magnitude of genotype x environment interaction variance was equal to, or greater than the genotypic variance. Interaction effect was modeled by factorial regression analysis using additional genotypic and environmental information. Genotypic covariates considered were the sum of growing day degrees (GDD) necessary from sowing to flowering and the GDD necessary from flowering to maturity. Environmental covariates were the mean temperature from sowing to the 12 leaf stage, the mean temperature from the 12 leaf stage to the end of the linear grain-filling stage, the water balance around flowering, and the sum of solar radiation around flowering. These six covariates explained about 40% of the interaction effect in all analyses, with equal contribution of genotypic variates (20%) and environmental variates (20%). Flowering earliness of hybrids, water balance around flowering, and mean temperature from the 12 leaf stage to the end of the grain filling phase were determinants of genotype x environment interaction for grain yield in the considered area. A biological interpretation of the interaction was attempted through examination of the regression parameters.
Abbreviations: AGPM, Association Générale des Producteurs de Maïs, France AMMI, Additive Main effects and Multiplicative Interaction analysis GDD, sum of Growing Day Degrees GDDs_f, GDD from sowing to flowering GDDf_m, GDD from flowering to maturity GE, genotype x environment Mg ha-1, ton per hectare RSD, Residual Standard Deviation SRf, sum of radiation around flowering (from 06-20 to 0820) SS, Sum of Squares TMs_12l, mean temperature from sowing to 500 GDD (12 leaves stage) TM12l_e, mean temperature from 500 GDD to 1425 GDD (end of linear grain-filling phase) WATf, water balance around flowering (rainfall + irrigation evapotranspiration from 0620 to 0820)
This article has been cited by other articles:
![]() |
T. Sarlangue, F. H. Andrade, P. A. Calvino, and L. C. Purcell Why Do Maize Hybrids Respond Differently to Variations in Plant Density? Agron. J., June 5, 2007; 99(4): 984 - 991. [Abstract] [Full Text] [PDF] |
||||
![]() |
X.-M. Fan, M. S. Kang, H. Chen, Y. Zhang, J. Tan, and C. Xu Yield Stability of Maize Hybrids Evaluated in Multi-Environment Trials in Yunnan, China Agron. J., January 1, 2007; 99(1): 220 - 228. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. A. Malvar, P. Revilla, A. Butron, B. Gouesnard, A. Boyat, P. Soengas, A. Alvarez, and A. Ordas Performance of Crosses among French and Spanish Maize Populations across Environments Crop Sci., May 6, 2005; 45(3): 1052 - 1057. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Butron, P. Velasco, A. Ordas, and R. A. Malvar Yield Evaluation of Maize Cultivars across Environments with Different Levels of Pink Stem Borer Infestation Crop Sci., May 1, 2004; 44(3): 741 - 747. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. A. Lee, T. K. Doerksen, and L. W. Kannenberg Genetic Components of Yield Stability in Maize Breeding Populations Crop Sci., November 1, 2003; 43(6): 2018 - 2027. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Reymond, B. Muller, A. Leonardi, A. Charcosset, and F. Tardieu Combining Quantitative Trait Loci Analysis and an Ecophysiological Model to Analyze the Genetic Variability of the Responses of Maize Leaf Growth to Temperature and Water Deficit Plant Physiology, February 1, 2003; 131(2): 664 - 675. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| The SCI Journals | Agronomy Journal | Vadose Zone Journal | |||
| Journal of Natural Resources and Life Sciences Education |
Soil Science Society of America Journal | ||||
| Journal of Plant Registrations | Journal of Environmental Quality |
The Plant Genome | |||