Evaluation of CIMMYT conventional and synthetic spring wheat germplasm in rainfed sub-tropical environments. I. Grain yield

Field Crops Research

Volumn 118, Issue 3, 2010, Pages 273-281

  Rattey, A ^a   Shorter, R ^a,b  

^a CSIRO   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Adaptation; Breeding; Hexaploid derived synthetic wheat; Hexaploid spring wheat; Selection

Indexed keywords

ADAPTATION; CROP IMPROVEMENT; CROP YIELD; CULTIVAR; GERMPLASM; RAINFED AGRICULTURE; SPATIOTEMPORAL ANALYSIS; SUBTROPICAL REGION; WATER STRESS; WHEAT;

AUSTRALIA; MEXICO [NORTH AMERICA];

AEGILOPS TAUSCHII X TRITICUM TURGIDUM; TRITICUM AESTIVUM;

EID: 77954955258     PISSN: 03784290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fcr.2010.06.006     Document Type: Article

References (45)

1. Akaike H. New look at statistical- model identification. IEEE Trans. Automat. Control 1974, AC19:716-723.
2. Brennan J.P., Fox P.N. Impact of CIMMYT varieties on the genetic diversity of wheat in Australia, 1973-1993. Aust. J. Agric. Res. 1998, 49:175-178.
3. Brennan, J.P., Quade, K.J., 2004. Analysis of the impact of CIMMYT research on the Australian wheat industry. Economic Research Report No. 25. NSW Department of Primary Industries, Wagga Wagga, p. 49.
4. Brennan J.P., Quade K.J. Evolving usage of materials from CIMMYT in developing Australian wheat varieties. Aust. J. Agric. Res. 2006, 57:947-952.
5. Byth D.E., Eisemann R.L., DeLacy I.H. Two-way pattern analysis of a large data set to evaluate genotypic adaptation. Heredity 1976, 37:217-230.
6. Chapman S.C. Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials. Euphytica 2008, 161:195-208.
7. Cooper M., Byth D.E., DeLacy I.H., Woodruff D.R. Predicting grain yield in Australian environments using data from CIMMYT international wheat performance trials.1. Potential for exploiting correlated response to selection. Field Crop Res. 1993, 32:305-322.
8. Cooper M., Woodruff D.R. Predicting grain yield in Australian environments using data from CIMMYT international wheat performance trials.3. Testing predicted correlated response to selection. Field Crop Res. 1993, 35:191-204.
9. Dreccer A.F., Borgognone A.G., Ogbonnaya F.C., Trethowan R.M., Winter B. CIMMYT-selected derived synthetic bread wheats for rainfed environments: yield evaluation in Mexico and Australia. Field Crop Res. 2007, 100:218-228.
10. Dreccer M.F., Chapman S.C., Ogbonnaya F.C., Borgognone M.G., Trethowan R.M. Crop and environmental attributes underpinning genotype by environment interaction in synthetic-derived bread wheat evaluated in Mexico and Australia. Aust. J. Agric. Res. 2008, 59:447-460.
11. Gabriel K.R. Biplot graphic display of matrices with application to principal component analysis. Biometrika 1971, 58:453-467.
12. Gilmour A.R., Cullis B.R., Verbyla A.P. Accounting for natural and extraneous variation in the analysis of field experiments. J Agric. Biol. Environ. Stat. 1997, 2:269-293.
13. Gilmour A.R., Thompson R., Cullis B.R. Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models. Biometrics 1995, 51:1440-1450.
14. Gororo N.N., Eagles H.A., Eastwood R.F., Nicolas M.E., Flood R.G. Use of Triticum tauschii to improve yield of wheat in low-yielding environments. Euphytica 2002, 123:241-254.
15. Hammer G.L., Holzworth D.P., Stone R. The value of skill in seasonal climate forecasting to wheat crop management in a region with high climatic variability. Aust. J. Agric. Res. 1996, 47:717-737.
16. Hanson W.D. Heritability. Statistical Genetics and Plant Breeding 1963, 125-139. National Academy of Sciences-National Research Council Publication 982, Washington, DC. W.D. Hanson, H.F. Robinson (Eds.).
17. Heisey, P.W., Lantican, M.A., Dubin, H.J., 2002. Impacts of international wheat breeding research in developing countries, 1966-1997. CIMMYT, Mexico, D.F.
18. Kempton R.A. The use of biplots in interpreting variety by environment interactions. J. Agric. Sci. 1984, 103:123-135.
19. Kirigwi F.M., van Ginkel M., Trethowan R., Sears R.G., Rajaram S., Paulsen G.M. Evaluation of selection strategies for wheat adaptation across water regimes. Euphytica 2004, 135:361-371.
20. Lage J., Trethowan R.M. CIMMYT's use of synthetic hexaploid wheat in breeding for adaptation to rainfed environments globally. Aust. J. Agric. Res. 2008, 59:461-469.
21. Mathews K.L., Chapman S.C., Trethowan R., Pfeiffer W., Ginkel M., Crossa J., Payne T., DeLacy I.H., Fox P.N., Cooper M. Global adaptation patterns of Australian and CIMMYT spring bread wheat. Theor. Appl. Genet. 2007, 115:819-835.
22. Meinke H., Stone R.C. On tactical crop management using seasonal climate forecasts and simulation modelling-a case study for wheat. Sci. Agric. 1997, 54:121-129.
23. Mujeeb-Kazi A., Gul A., Farooq M., Rizwan S., Ahmad I. Rebirth of synthetic hexaploids with global implications for wheat improvement. Aust. J. Agric. Res. 2008, 59:391-398.
24. Ogbonnaya F.C., Ye G.Y., Trethowan R., Dreccer F., Lush D., Shepperd J., van Ginkel M. Yield of synthetic backcross-derived lines in rainfed environments of Australia. Euphytica 2007, 157:321-336.
25. Olivares-Villegas J.J., Reynolds M.P., McDonald G.K. Drought-adaptive attributes in the Seri/Babax hexaploid wheat population. Funct. Plant Biol. 2007, 34:189-203.
26. Ortiz R., Braun H.J., Crossa J., Crouch J.H., Davenport G., Dixon J., Dreisigacker S., Duveiller E., He Z.H., Huerta J., Joshi A.K., Kishii M., Kosina P., Manes Y., Mezzalama M., Morgounov A., Murakami J., Nicol J., Ferrara G.O., Ortiz-Monasterio J.I., Payne T.S., Pena R.J., Reynolds M.P., Sayre K.D., Sharma R.C., Singh R.P., Wang J.K., Warburton M., Wu H.X., Iwanaga M. Wheat genetic resources enhancement by the International Maize and Wheat Improvement Centre (CIMMYT). Genet. Resour. Crop Evol. 2008, 55:1095-1140.
27. Ortiz R., Trethowan R., Ferrara G.O., Iwanaga M., Dodds J.H., Crouch J.H., Crossa J., Braun H.J. High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy. Euphytica 2007, 157:365-384.
28. Podlich D.W., Cooper M., Basford K.E. Computer simulation of a selection strategy to accommodate genotype-environment interactions in a wheat recurrent selection programme. Plant Breeding 1999, 118:17-28.
29. Potgieter A.B., Hammer G.L., Meinke H., Stone R.C., Goddard L. Three putative types of El Nino revealed by spatial variability in impact on Australian wheat yield. J. Climate 2005, 18:1566-1574.
30. R Development Core Team, 2006. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
31. Rajaram S., van Ginkel M., Fischer R.A. CIMMYT's wheat breeding mega-environments (ME). Proceedings of the 8th International Wheat Genetics Symposium 1994, 1101-1106.
32. Rattey A., Shorter R., Chapman S., Dreccer F., van Herwaarden A. Variation for and relationships among biomass and grain yield component traits conferring improved yield and grain weight in an elite wheat population grown in variable yield environments. Crop Pasture Sci. 2009, 60:717-729.
33. Reynolds M., Dreccer F., Trethowan R. Drought-adaptive traits derived from wheat wild relatives and landraces. J. Exp. Bot. 2007, 58:177-186.
34. Singh R.P., Huerta-Espino J., Sharma R., Joshi A.K., Trethowan R. High yielding spring bread wheat germplasm for global irrigated and rainfed production systems. Euphytica 2007, 157:351-363.
35. Sivapalan S., O'Brien L., Ortiz-Ferrara G., Hollamby G.J., Barclay I., Martin P.J. An adaptation analysis of Australian and CIMMYT/ICARDA wheat germplasm in Australian production environments. Aust. J. Agric. Res. 2000, 51:903-915.
36. Sivapalan S., O'Brien L., Ortiz-Ferrara G., Hollamby G.J., Barclay I., Martin P.J. A comparative study for yield performance and adaptation of some Australian and CIMMYT/ICARDA wheat genotypes grown at selected locations in Australia and the WANA region. Aust. J. Agric. Res. 2003, 54:91-100.
37. Smith A., Cullis B., Gilmour A. The analysis of crop variety evaluation data in Australia. Aust. N.Z. J. Stat. 2001, 43:129-145.
38. Smith A., Cullis B., Thompson R. Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend. Biometrics 2001, 57:1138-1147.
39. Thompson R., Cullis B., Smith A., Gilmour A. A sparse implementation of the average information algorithm for factor analytic and reduced rank variance models. Aust. N.Z. J. Stat. 2003, 45:445-459.
40. Trethowan R. Selecting wheat with improved adaptation to moisture limited environments: CIMMYT's approach and experience. Proceedings of the 54th Australian Cereal Chemistry Conference and 11th Wheat Breeders Assembly 2004, 191-194. C.K. Black, J.F. Panozzo, G. Rebetzke (Eds.).
41. Trethowan R., Crossa J. Lessons learnt from forty years of international spring bread wheat trials. Euphytica 2007, 157:385-390.
42. Trethowan R.M., Reynolds M., Sayre K., Ortiz-Monasterio I. Adapting wheat cultivars to resource conserving farming practices and human nutritional needs. Ann. Appl. Biol. 2005, 146:405-413.
43. Trethowan R.M., van Ginkel M., Rajaram S. Progress in breeding wheat for yield and adaptation in global drought affected environments. Crop Sci. 2002, 42:1441-1446.
44. United Nations, 2004. World population to 2300. Population Division, Department of Economic and Social Affairs, United Nations, New York, p. 254.
45. Welham S.J., Gogel B.J., Smith A.B., Thomson R., Cullis B. Evaluation of models for late-stage variety evaluation trials. Australasian GenStat/StatGen Conference 2006, 44.