Breeding drought-tolerant maize hybrids for the US corn-belt: Discovery to product

Journal of Experimental Botany

Volumn 65, Issue 21, 2014, Pages 6191-6194

  Cooper, Mark ^a   Gho, Carla ^b   Leafgren, Roger ^c   Tang, Tom ^a   Messina, Carlos ^a  

^a Pioneer Dupont   (United States)

^b Viluco Research Station Semillas Pioneer Chile Ltda   (Chile)

^c Woodland Research Station DuPontPioneer   (United States)

Author keywords

AQUAmax ; Drought; Maize; Managed environments; Phenotyping; Stress; Tolerance; Yield

Indexed keywords

BREEDING; DROUGHT; GENETIC ASSOCIATION; GENETICS; HISTORY; HYBRIDIZATION; MAIZE; PROCEDURES; UNITED STATES;

BREEDING; DROUGHTS; GENETIC ASSOCIATION STUDIES; HISTORY, 20TH CENTURY; HISTORY, 21ST CENTURY; HYBRIDIZATION, GENETIC; UNITED STATES; ZEA MAYS;

EID: 84900460819     PISSN: 00220957     EISSN: 14602431     Source Type: Journal    
DOI: 10.1093/jxb/eru064     Document Type: Review

References (50)

1. Bänziger M, Setimela PS, Hodson D, Vivek B. 2006. Breeding for improved abiotic stress tolerance in maize adapted to southern Africa. Agricultural Water Management 80, 212-224.
2. Barker T, Campos H, Cooper M, Dolan D, Edmeades G, Habben J, Schussler J, Wright D, Zinselmeier C. 2005. Improving drought tolerance in maize. Plant Breeding Reviews 25, 173-253.
3. Basford KE, Williams ER, Cullis BR, Gilmour A. 1996. Experimental design and analysis for variety trials. In: Cooper M, Hammer GL, eds. Plant adaptation and crop improvement. Wallingford, UK: CAB International, 125-138.
4. Bink MCAM, Totir LR, Ter Braak CJF, Winkler CR, Boer MP, Smith O. 2012. QTL linkage analysis of connected populations using ancestral marker and pedigree information. Theoretical and Applied Genetics 124, 1097-1113.
5. Boer MP, Wright D, Feng L, Podlich DW, Luo L, Cooper M, Van Eeuwijk FA. 2007. A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize. Genetics 177, 1801-1813.
6. Boyer JS, Byrne P, Cassman KG, et al. 2013. The US drought of 2012 in perspective: a call to action. Global Food Security 2, 139-143.
7. Campos H, Cooper M, Edmeades GO, Löftier C, Schussler JR, Ibañez M. 2006. Changes in drought tolerance in maize associated with fifty years of breeding for yield in the U. S. corn belt. Maydica 51, 369-381.
8. Campos H, Cooper M, Habben JE, Edmeades GO, Schussler JR. 2004. Improving drought tolerance in maize: a view from industry. Field Crops Research 90, 19-34.
9. Cooper M, Fox PN. 1996. Environmental characterization based on probe and reference genotypes. In: Cooper M, Hammer GL, eds. Plant adaptation and crop improvement. Wallingford, UK: CAB International, 529-547.
10. Cooper M, Podlich DW. 1999. Genotype-by-environment interactions, selection response and heterosis. In: Coors JG, Pandey S, eds. The genetics and exploitation of heterosis in crops. Madison, WI: ASA-CSSA-SSSA, 81-92.
11. Cooper M, Stucker RE, De Lacy IH, Harch BD. 1997. Wheat breeding nurseries, target environments, and indirect selection for grain yield. Crop Science 37, 1168-1176.
12. Cooper M, Van Eeuwijk F, Chapman SC, Podlich DW, Löftier C. 2006. Genotype-by-environment interactions under water-limited conditions. In: Ribaut JM, ed. Drought adaptation in cereals. Binghamton, NY: The Haworth Press, Inc., 51-96.
13. Cooper M, Woodruff DR, Eisemann RL, Brennan PS, De Lacy IH. 1995. A selection strategy to accommodate genotype-by-environment interaction for grain yield of wheat: managed-environments for selection among genotypes. Theoretical and Applied Genetics 90, 492-502.
14. Cullis BR, Smith AB, Coombes NE. 2006. On the design of early generation variety trials with correlated data. Journal of Agricultural, Biological, and Environmental Statistics 11, 381-393.
15. Dekkers JCM, Hospital F. 2002. The use of molecular genetics In the Improvement of agricultural populations. Nature Reviews Genetics 3, 22-32.
16. Duvick DN. 1977. Genetic rates of gain In hybrid maize yields during the past 40 years. Maydica 22, 187-196.
17. Duvick DN, Smith JSC, Cooper M. 2004. Long-term selection in a commercial hybrid maize breeding program. In: Janick J, ed. Plant breeding reviews: long-term selection: crops, animals, and bacteria, Vol. 24, Part 2. New York: John Wiley & Sons, 109-151.
18. Federer WT, Reynolds M, Crossa J. 2001. Combining results from augmented designs over sites. Agronomy Journal 93, 389-395.
19. Fernando RL, Grossman M. 1989. Marker assisted selection using best linear unbiased prediction. Genetics Selection Evolution 21, 467-477.
20. Fischer KS, Edmeades GO, Johnson EC. 1989. Selection for the improvement of maize yield under moisture-deficits. Field Crops Research 22, 227-243.
21. Gholipoor M, Choudhary S, Sinclair TR, Messina CD, Cooper M. 2013a. Transpiration response of maize hybrids to atmospheric vapour pressure deficit. Journal of Agronomy and Crop Science 199, 155-160.
22. Gholipoor M, Sinclair TR, Raza MAS, Löffler C, Cooper M, Messina CD. 2013b. Maize hybrid variability for transpiration decrease with progressive soil drying. Journal of Agronomy and Crop Science 199, 23-29.
23. Gianola D, Fernando RL, Stella A. 2006. Genomic-assisted prediction of genetic value with semiparametric procedures. Genetics 173, 1761-1776.
24. Gilmour AR, Cullis BR, Verbyla AP. 1997. Accounting for natural and extraneous variation in the analysis of field experiments. Journal of Agricultural, Biological, and Environmental Statistics 2, 269-293.
25. Gilmour AR, Gogel BJ, Cullis BR, Thompson R. 2009. ASReml User Guide Release 3.0 VSN International Ltd, Hemel Hempstead, HP1 1ES, UK www.vsni.co.uk.
26. Habier D, Fernando RL, Kizilkaya K, Garrick DJ. 2011. Extension of the Bayesian alphabet for genomic selection. BMC Bioinformatics 12, 186-198.
27. Hammer GL, Dong Z, McLean G, Doherty A, Messina C, Schussler J, Zinselmeier C, Paszkiewicz S, Cooper M. 2009. Can changes in canopy and/or root systems architecture explain historical maize yield trends in the U. S. Corn Belt? Crop Science 49, 299-312.
28. Heffner EL, Sorrells ME, Jannink JL. 2009. Genomic selection for crop improvement. Crop Science 49, 1-12.
29. Kirigwi FM, Van Ginkel M, Trethowan R, Sears RG, Rajaram S, Paulsen GM. 2004. Evaluation of selection strategies for wheat adaptation across water regimes. Euphytica 135, 361-371.
30. Lande R, Thompson R. 1990. Efficiency of marker assisted selection in the improvement of quantitative traits. Genetics 124, 743-756.
31. Löftier CM, Wei J, Fast T, Gogerty J, Langton S, Bergman M, Merril, B, Cooper M. 2005. Classification of maize environments using crop simulation and geographic information systems. Crop Science 45, 1708-1716.
32. Messina C, Hammer G, Dong Z, Podlich D, Cooper M. 2009. Modelling crop improvement in a GxExM framework via gene-traitphenotype relationships. In: Sadras V, Calderini D, eds. Crop physiology: interfacing with genetic improvement and agronomy. Amsterdam, The Netherlands: Elsevier, 235-265.
33. Messina CD, Podlich D, Dong Z, Samples M, Cooper M. 2011. Yieldtrait performance landscapes: from theory to application in breeding maize for drought tolerance. Journal of Experimental Botany 62, 855-868.
34. Meuwissen TH, Hayes BJ, Goddard ME. 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics 157, 1819-1829.
35. Piepho HP. 2009. Ridge regression and extensions for genomewide selection in maize. Crop Science 49, 1165-1176.
36. Piepho HP, Williams ER. 2006. A comparison of experimental designs for selection in breeding trials with nested treatment structure. Theoretical and Applied Genetics 113, 1505-1513.
37. Podlich DW, Cooper M, Basford KE. 1999. Computer simulation of a selection strategy to accommodate genotype-environment interactions in a wheat recurrent selection programme. Plant Breeding 118, 17-28.
38. Qiao CG, Basford KE, Delacy IH, Cooper M. 2000. Evaluation of experimental designs and spatial analyses in wheat breeding trials. Theoretical and Applied Genetics 100, 9-16.
39. Qiao CG, Basford KE, Delacy IH, Cooper M. 2004. Advantage of single-trial models for response to selection in wheat breeding multienvironment trials. Theoretical and Applied Genetics 108, 1256-1264.
40. Rebetzke GJ, Chenu K, Biddulph B, Moeller C, Deery DM, Rattey AR, Bennett D, Barrett-Lennard EG, Mayer JE. 2013. A multisite managed environment facility for targeted trait and germplasm phenotyping. Functional Plant Biology 40, 1-13.
41. Smith A, Cullis B, Luckett D, Hollamby G, Thompson R. 2002b. Exploring variety-environment data using random effects AMMI models with adjustments for spatial field trend: Part 2: Applications. In: Kang MS, ed. Quantitative genetics, genomics and plant breeding. Wallingford, UK: CABI Publishing, 337-351.
42. Smith A, Cullis B, Thompson R. 2001. Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend. Biometrics 57, 1138-1147.
43. Smith A, Cullis B, Thompson R. 2002a. Exploring variety-environment data using random effects AMMI models with adjustments for spatial field trend: Part 1: Theory. In: Kang MS, ed. Quantitative genetics, genomics and plant breeding. Wallingford, UK: CABI Publishing, 323-335.
44. Ter Braak CJF, Boer MP, Totir LR, Winkler CR, Smith OS, Bink MCAM. 2010. Identity-by-descent matrix decomposition using latent ancestral allele models. Genetics 185, 1045-1057.
45. Trethowan RM, Reynolds MW, Sayre K, Ortiz-Monasterio I. 2005. Adapting wheat cultivars to resource conserving farming practices and human nutritional needs. Annals of Applied Biology 146, 405-413.
46. Van Eeuwijk FA, Boer M, Totir LR, et al. 2010. Mixed model approaches for the identification of QTLs within a maize hybrid breeding program. Theoretical and Applied Genetics 120, 429-440.
47. Van Eeuwijk FA, Cooper M, De Lacy IH, Ceccarelli S, Grando S. 2001. Some vocabulary and grammar for the analysis of multi-environment trials, as applied to the analysis of FPB and PPB trials. Euphytica 122, 477-490.
48. Weber VS, Melchinger AE, Magorokosho C, Makumbi D, Banzinger M, Atlin GN. 2012. Efficiency of managed-stress screening of elite maize hybrids under drought and low nitrogen for yield under rainfed conditions in Southern Africa. Crop Science 52, 1011-1020.
49. Williams ER, John JA, Whitaker D. 2006. Construction of resolvable spatial row-column designs. Biometrics 62, 103-108.
50. Williams ER, Matheson AC, Harwood CE. 2002. Experimental design and analysis for tree improvement, 2nd edn. Canberra: CSIRO.