Resiliences to water deficit in a phenotyping platform and in the field: How related are they in maize?

European Journal of Agronomy

Volumn 42, Issue , 2012, Pages 59-67

  Chapuis, R ^a   Delluc, C ^b   Debeuf, R ^b   Tardieu, F ^a   Welcker, C ^a  

^a CEMAGREF   (France)

^b Ferme de l'Etang ^*  (France)

Author keywords

Drought tolerance; Genotype by environment interaction; Grain yield; Growth; Model assisted phenotyping; Zea mays

Indexed keywords

CROP YIELD; DROUGHT RESISTANCE; ECOSYSTEM RESILIENCE; FIELD METHOD; GENETIC ANALYSIS; GENOTYPE-ENVIRONMENT INTERACTION; GROWTH RATE; HYBRID; MAIZE; PHENOTYPIC PLASTICITY; PLANT BREEDING; SOIL WATER; TENSIOMETER; VARIANCE ANALYSIS;

CHILE; FRANCE; HUNGARY;

ZEA MAYS;

EID: 84863617062     PISSN: 11610301     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eja.2011.12.006     Document Type: Article

References (37)

1. Andrade F.H., Otegui M.E., Vega C. Intercepted radiation at flowering and kernel number in maize. Agron. J. 2000, 92:92-97.
2. Bolanos J., Edmeades G.O. 8 cycles of selection for drought tolerance in lowland tropical maize. 1. Responses in grain-yield, biomass, and radiation utilization. Field Crops Res. 1993, 31:233-252.
3. Borras L., Astini J.P., Westgate M.E., Severini A.D. Modeling anthesis to silking in maize using a plant biomass framework. Crop Sci. 2009, 49:937-948.
4. Borras L., Slafer G.A., Otegui M.E. Seed dry weight response to source-sink manipulations in wheat, maize and soybean: a quantitative reappraisal. Field Crops Res. 2004, 86:131-146.
5. Bruce W.B., Edmeades G.O., Barker T.C. Molecular and physiological approaches to maize improvement for drought tolerance. J. Exp. Bot. 2002, 53:13-25.
6. Campos H., Cooper M., Habben J.E., Edmeades G.O., Schussler J.R. Improving drought tolerance in maize: a view from industry. Field Crops Res. 2004, 90:19-34.
7. Carcova J., Otegui M.E. Ovary growth and maize kernel set. Crop Sci. 2007, 47:1104-1110.
8. Chenu K., Chapman S.C., Hammer G.L., McLean G., Salah H.B.H., Tardieu F. Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize. Plant Cell Environ. 2008, 31:378-391.
9. Chenu K., Chapman S.C., Tardieu F., McLean G., Welcker C., Hammer G.L. Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize - a 'gene-to-phenotype' modeling approach. Genetics 2009, 183:1507-1523.
10. Claassen M.M., Shaw R.H. Water deficit effects on corn. I. Vegetative components. Agron J. 1970, 62:649-652.
11. Cooper M., van Eeuwijk F.A., Hammer G.L., Podlich D.W., Messina C. Modeling QTL for complex traits: detection and context for plant breeding. Curr. Opin. Plant Biol. 2009, 12:231-240.
12. Duvick D.N. The contribution of breeding to yield advances in maize (Zea mays L.). Adv. Agron. 2005, 86:83-145.
13. Finlay K.W., Wilkinson G.N. The analysis of adaptation in a plant-breeding programme. Aust. J. Agric. Res. 1963, 14:742-754.
14. Fuad-Hassan A., Tardieu F., Turc O. Drought-induced changes in anthesis-silking interval are related to silk expansion: a spatio-temporal growth analysis in maize plants subjected to soil water deficit. Plant Cell Environ. 2008, 31:1349-1360.
15. Hammer G., Cooper M., Tardieu F., Welch S., Walsh B., van Eeuwijk F., Chapman S., Podlich D. Models for navigating biological complexity in breeding improved crop plants. Trends Plant Sci. 2006, 11:587-593.
16. Jadoon K.Z., Slob E., Vanclooster M., Vereecken H., Lambot S. Uniqueness and stability analysis of hydrogeophysical inversion for time-lapse ground-penetrating radar estimates of shallow soil hydraulic properties. Water Resour. Res. 2008, 4:4.
17. Kholova J., Hash C.T., Kakkera A., Kocova M., Vadez V. Constitutive water-conserving mechanisms are correlated with the terminal drought tolerance of pearl millet (Pennisetum americanum L.). J. Exp. Bot. 2010, 61:369-377.
18. Lacaze X., Hayes P.M., Korol A. Genetics of phenotypic plasticity: QTL analysis in barley, Hordeum vulgare. Heredity 2009, 102:163-173.
19. Malosetti M., Ribaut J.M., Vargas M., Crossa J., Boer M.P., Eeuwijk F.A.V. Multi-trait multi-environment QTL modelling for drought-stress adaptation in maize. Scale and Complexity in Plant Systems Research: Gene-Plant-Crop Relations 2007, 23-34. Springer, Dordrecht, Netherlands. J.H.J. Spiertz, P.C. Struik, H.H. van Laar (Eds.).
20. Messina C.D., Podlich D., Dong Z.S., Samples M., Cooper M. Yield-trait performance landscapes: from theory to application in breeding maize for drought tolerance. J. Exp. Bot. 2011, 62:855-868.
21. Messmer R., Fracheboud Y., Bânziger M., Vargas M., Stamp P., Ribaut J.M. Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits. Theor. Appl. Genet. 2009, 119:913-930.
22. Moreau L., Charcosset A., Gallais A. Experimental evaluation of several cycles of marker-assisted selection in maize. Euphytica 2004, 137:111-118.
23. Moser S.B., Feil B., Jampatong S., Stamp P. Effects of pre-anthesis drought, nitrogen fertilizer rate, and variety on grain yield, yield components, and harvest index of tropical maize. Agric. Water Manage. 2006, 81:41-58.
24. NeSmith D.S., Ritchie J.R. Short- and long-term response of corn to pre-anthesis soil water deficit. Agron. J. 1992, 84:107-113.
25. Parent B., Suard B., Serraj R., Tardieu F. Rice leaf growth and water potential are resilient to evaporative demand and soil water deficit once the effects of root system are neutralized. Plant Cell Environ. 2010, 33:1256-1267.
26. Parent B., Turc O., Gibon Y., Stitt M., Tardieu F. Modelling temperature-compensated physiological rates, based on the coordination of responses to temperature of developmental processes. J. Exp. Bot. 2010, 10.1093/jxb/erq003.
27. R_Development_Core_Team R. A Language and Environment for Statistical Computing 2010, R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org/.
28. Reymond M., Muller B., Leonardi A., Charcosset A., Tardieu F. 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 Physiol. 2003, 131:664-675.
29. Ribaut J.M., Betran J., Monneveux P., Setter T. Drought tolerance in maize. Handbook of Maize: Its Biology 2008, 311-344. Springer, The Netherlands. J.L. Bennetzen, S.C. Hake (Eds.).
30. Sadok W., Naudin P., Boussuge B., Muller B., Welcker C., Tardieu F. Leaf growth rate per unit thermal time follows QTL-dependent daily patterns in hundreds of maize lines under naturally fluctuating conditions. Plant Cell Environ. 2007, 30:135-146.
31. Tardieu F. Virtual plants: modelling as a tool for the genomics of tolerance to water deficit. Trends Plant Sci. 2003, 8:9-14.
32. Tardieu F., Tuberosa R. Dissection and modelling of abiotic stress tolerance in plants. Curr. Opin. Plant Biol. 2010, 13:206-212.
33. Tollenaar M., Lee E.A. Dissection of physiological processes underlying grain yield in maize by examining genetic improvement and heterosis. Maydica 2006, 51:399-408.
34. van Eeuwijk F.A., Malosetti M., Boer M.P. Modelling the genetic basis of response curves underlying genotype×environment interaction. Scale and Complexity in Plant Systems Research: Gene-Plant-Crop Relations 2007, 113-124. Springer, Dordrecht, Netherlands. J.H.J. Spiertz, P.C. Struik, H.H. van Laar (Eds.).
35. Vargas M., van Eeuwijk F.A., Crossa J., Ribaut J.M. Mapping QTLs and QTL×environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods. Theor. Appl. Genet. 2006, 112:1009-1023.
36. Welcker C., Boussuge B., Bencivenni C., Ribaut J.M., Tardieu F. Are source and sink strengths genetically linked in maize plants subjected to water deficit? A QTL study of the responses of leaf growth and of Anthesis-Silking Interval to water deficit. J. Exp. Bot. 2007, 58:339-349.
37. Welcker C., Sadok W., Dignat G., Renault M., Salvi S., Charcosset A., Tardieu F. A common genetic determinism for sensitivities to soil water deficit and evaporative demand: meta-analysis of QTLs and introgression lines of maize. Plant Physiol. 2011, 157:718-729.