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High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy

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Abstract

The main elements of the international wheat improvement program of the Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), also known as the International Maize and Wheat Improvement Center, have been shuttle breeding at two contrasting locations in Mexico, wide adaptation, durable rust and Septoria resistances, international multisite testing, and the appropriate use of genetic variation to enhance yield gains of subsequently produced lines. Such an approach yielded successes known collectively as the Green Revolution. However, at the beginning of the 21st century, this “cultivar assembly line” approach needs fine tuning to address crop needs under increasingly adopted resource conserving practices, as well as those related to nutritional requirements of the end-users. International wheat improvement will therefore focus on the targeting of traits in respective mega-environments, and the use of participatory methods, especially in marginal environments. The main features of this wheat improvement strategy include the introduction of new and novel sources of genetic variation through wild species, landraces, and, potentially, the use of transgenes for intractable traits. This variation will be combined using international shuttle breeding, and increased breeding efficiency will be achieved through marker-aided methods, more targeted use of crop physiology, plant genetics, biostatistics, and bioinformatics. Likewise, CIMMYT will increase its focus on the needs of end-users by emphasizing regional efforts in participatory research and client-oriented plant breeding.

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References

  • Abdalla OS, Crossa J, Autrique E, Delacy H (1996) Relationships among international testing sites of spring durum wheat. Crop Sci 46:33–40

    Article  Google Scholar 

  • Abdalla O, Crossa J, Cornelius PL (1997) Results and biological interpretation of shifted multiplicative model clustering of durum wheat cultivars and test site. Crop Sci 37:88–97

    Article  Google Scholar 

  • Allard RW (1996) Genetic basis of the evolution of adaptedness in plants. Euphytica 92:1–11

    Article  Google Scholar 

  • Ayala L, Henry M. van Ginkel M, Singh R, Keller R, Khairralah M (2002) Identification of QTLs for BYDV tolerance in bread wheat. Euphytica 128:249–259

    Article  CAS  Google Scholar 

  • Bohn M, Utz HF, Melchinger AE (1999) Genetic similarities among winter wheat cultivars determined on the basis of RFLPs, AFLPs, and SSRs and their use for predicting progeny variance. Crop Sci 39:228–237

    Article  CAS  Google Scholar 

  • Bonnett DG, Rebetzke GJ, Spielmeyer W (2005) Strategies for efficient implementation of molecular markers in wheat breeding. Mol Breed 15:75–85

    Article  CAS  Google Scholar 

  • Braun HJ, Pfeiffer WH, Pollmer WG (1992) Environments for selecting widely adapted spring wheat. Crop Sci 32:1420–1427

    Article  Google Scholar 

  • Braun HJ, Rajaram S, van Ginkel M (1996) CIMMYT’s approach to breeding for wide adaptation. Euphytica 92:175–183

    Article  Google Scholar 

  • Burkhamer RL, Lanning SP, Martens RJ, Martin JM, Talbert LE (1998) Predicting progeny variance from parental divergence in hard red spring wheat. Crop Sci 38:243–248

    Article  Google Scholar 

  • Christiansen MJ, Anderson SB, Ortiz R (2002) Diversity changes in an intensively bred wheat germplasm during the 20th century. Mol Breed 9:1–11

    Article  Google Scholar 

  • Cooper M, Stucker RE, Delacy I, Harsch BD (1997) Wheat breeding nurseries, target environments, and indirect selection for grain yield. Crop Sci 37:1168–1176

    Article  Google Scholar 

  • Cornelius PL, Crossa J, Seyedsadr M (1993) Tests and estimators of multiplicative models for variety trials. In: Proc 5th Ann. Kansas State Univ Conf Applied Statistics in Agriculture. Kansas State Univ, Manhattan, Kansas

  • Cornelius PL, Seyedsadr M, Crossa J (1992) Using the shifted multiplicative model to search for separability in crop cultivar trials. Theor Appl Genet 84:161–172

    Article  Google Scholar 

  • Crossa J, Cornelius PL (1993) Recent developments in multiplicative models for cultivar trials. In: Buxton DR, Shibles RL, Forsberg RA, Blad BL, Asay KH, Paulsen GM, Wilson RE (eds) International Crop Science I. Crop Science Society of America, Madison, pp 571–577

    Google Scholar 

  • Crossa J, Cornelius PL (1997) Site regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances. Crop Sci 37:406–415

    Article  Google Scholar 

  • Crossa J, Cornelius PL, Sayre K, Ortiz-Monasterio JI (1995) A shifted multiplicative model fusion method for grouping environments without cultivar rank change. Crop Sci 35:54–62

    Article  Google Scholar 

  • Crossa J, Cornelius PR, Seyedsadr M (1996) Using the shifted multiplicative model cluster methods for crossover genotype-by-environment interaction. In: Kang MS, Gaugh GH (eds) Genotype-by-Environment Interactions. CRC Press, Boca Raton, Florida, pp 175–198

    Google Scholar 

  • Crossa J, Cornelius PR, Seyedsadr M, Byrne P (1993) A shifted multiplicative model cluster analysis for grouping environments without genotypic rank change. Theor Appl Genet 85: 577–586

    Article  Google Scholar 

  • Crossa J, Fox PN, Pfeiffer WH, Rajaram S, Gauch GH (1991) AMMI adjustment for statistical analysis of an international wheat trial. Theor Appl Genet 81:27–37

    Article  Google Scholar 

  • Crossa J, Yang R-C, Cornelius PL (2004) Studying crossover genotype x environment interaction using linear-bilinear models and mixed models. Agric Biol Env Stat 9:362–380

    Article  Google Scholar 

  • David JL, Zivy M, Cardin ML, Brabant P (1997) Protein evolution in dynamically managed populations of wheat: adaptive responses to macro-environmental conditions. Theor Appl Genet 95:932–941

    Article  CAS  Google Scholar 

  • Del Blanco IA, Rajaram S, Kronstad WE (2001) Agronomic potential of synthetic hexaploid wheat-derived populations. Crop Sci 41:670–676

    Article  Google Scholar 

  • Delacy IH, Fox PN, Corbett JD, Crossa J, Rajaram S, Fischer RA, van Ginkel M (1994) Long-term association of location for testing spring bread wheat. Euphytica 72:95–106

    Article  Google Scholar 

  • Delacy IH, Rajaram S, Cooper M, Fox PN, Basford KE (2000) The effect of the accumulation of disease resistance genes on the long-term association of a global sample of environments for testing spring bread wheat. Theor Appl Genet 101:1164–1172

    Article  CAS  Google Scholar 

  • Donini P, Law JR, Koebner RMD, Reeves JC, Cooke RJ (2000) Temporal trends in the diversity of UK wheat. Theor Appl Genet. 100:912–917

    Article  Google Scholar 

  • Eagles HA, Hollamby GL, Gororo NN, Eastwood GL (2002) Estimation and utilization of glutenin gene effects from the analysis of unbalanced data from wheat breeding programs. Aus J Agric Res 53:367–377

    Article  CAS  Google Scholar 

  • Fabrizius MA, Busch RH, Khan K, Huckle L (1998) Genetic diversity and heterosis of spring wheat crosses. Crop Sci 38:1008–1012

    Article  Google Scholar 

  • Goldringer I, Brabant P, Gallais A (1997) Estimation of additive and epistatic genetic variances for agronomic traits in a population of double-haploid lines of wheat. Hered 79:60–71

    Google Scholar 

  • Hanson H, Borlaug NE, Anderson RG (1982) Wheat in the Third World. Westview, Boulder, Colorado, USA

    Google Scholar 

  • Hayden MJ, Kuchel H, Chalmers KJ (2004) Sequence tagged microsatellites for the gwm533 locus provide new diagnostic markers to select for the presence of stem rust resistance gene Sr2 in bread wheat (Triticum aestivum L.). Theor Appl Genet 109:1641–1647

    Article  PubMed  CAS  Google Scholar 

  • Hill J, Ortiz R, Wagoire WW, Stølen O (1999) Effectiveness of indirect selection for wheat yield in a stress environment. Theor Appl Genet 98:305–309

    Article  Google Scholar 

  • Hill J, Wagoire WW, Ortiz R, Stølen O (2000) Cross prediction in bread wheat germplasm using single seed descent lines. Euphytica 113:65–70

    Article  Google Scholar 

  • Huang X-Q, Roder MS (2004). Molecular mapping of powdery mildew resistance genes in wheat: a review. Euphytica 137:203–223

    Article  CAS  Google Scholar 

  • Inagaki MN, Varughese G, Rajaram S, van Ginkel M, Mujeeb-Kazi A (1998) Comparison of bread wheat lines selected by double haploid, single-seed descent and pedigree selection methods. Theor Appl Genet 97:530–536

    Article  Google Scholar 

  • Iwanaga M (2004) The role of International crop breeding: contributions to humanity. 2004 Robert W. Hougas Lecture at the University of Wisconsin-Madison. CIMMYT, Mexico D.F

  • Jefferies SP, Pallota MA, Paull JG, Karakousis A, Kretschmer JM, Manning S, Islam AKMR, Langridge P, Chalmers KJ (2000) Mapping and validation of chromosome regions conferring boron toxicity tolerance in wheat (Triticum aestivum L.). Theor Appl Genet 101:767–777

    Article  CAS  Google Scholar 

  • Jobet C, Zuñiga J, Campos De Quiroz J (2001) Plantas doble haploides generadas por cruza intergenérica de trigo × maíz. Agricultura Técnica (Chile) 63:323–328

    Google Scholar 

  • Kuchel H, Ye G, Fox R, Jefferies S (2005) Genetic and economic analysis of a targeted marker-assisted wheat breeding strategy. Mol Breed 16:67–78

    Article  Google Scholar 

  • Lacaze X, Roumet P (2004) Environment characterisation for the interpretation of environmental effect and genotype × environment interaction. Theor Appl Genet 109:1632–1640

    Article  PubMed  Google Scholar 

  • Lillemo M, van Ginkel M, Trethowan RM, Hernandez E, Crossa J (2005) Differential adoption of CIMMYT bread wheat to global high temperature environments. Crop Sci 45:2443–2453

    Article  Google Scholar 

  • Lillemo M, van Ginkel M, Trethowan RM, Hernandez E, Rajaram S (2004) Associations among international CIMMYT bread wheat yield testing locations in high rainfall areas and their implications for wheat breeding. Crop Sci 44:1163–1169

    Article  Google Scholar 

  • Martin EM, Eastwood RF, Ogbonnaya FC (2004) Identification of microsatellite markers associated with the cereal cyst nematode resistance gene Cre3 in wheat. Aus J Agric Res 55:1205–1211

    Article  CAS  Google Scholar 

  • Midmore D, Cartwright PM, Fischer RA (1982) Wheat in tropical environments: 1. Phasic development and spike size. Field Crops Res 5:185–200

    Article  Google Scholar 

  • Nachit MM, Ketata H, Gauch HG Jr, Zobel RW (1992a) Use of AMMI and linear regression models to analyze genotype-environment interaction in durum wheat. Theor Appl Genet 83:597–601

    Article  Google Scholar 

  • Nachit MM, Sorrels ME, Zobel RW, Gauch HG, Fischer RA, Coffman WR (1992b) Association of morpho-physiological traits with grain yield and components of genotype-environment interaction in durum wheat. I. J Genet Breed 46:363–368

    Google Scholar 

  • Nachit MM, Sorrels ME, Zobel RW, Gauch HG, Fischer RA, Coffman WR (1992c) Association of environmental variables with sites’ mean grain yield and components of genotype-environment interaction in durum wheat. II. J Genet Breed 46:369–372

    Google Scholar 

  • Ortiz R, Hartmann P (2003) Beyond crop technology: the challenge for African rural development. In: Vol 2 Reference Material of the Sub-Saharan Africa Challenge Program Building Livelihoods through Integrated Agricultural Research for Development–Securing the Future for Africa’s Children. Forum for Agricultural Research in Africa, Accra, Ghana, pp 39–72

  • Ortiz R., Madsen S, Wagoire WW, Hill J, Chandra S, Stølen O (2001a) Additive main effect and multiplicative interaction model for diallel cross analysis. Theor Appl Genet 102:1103–1106

    Article  CAS  Google Scholar 

  • Ortiz R, Wagoire WW, Hill J, Chandra S, Madsen S, Stølen O (2001b) Heritability of and correlations among genotype-by-environment stability statistics for grain yield in bread wheat. Theor Appl Genet 103: 469–474

    Article  Google Scholar 

  • Ortiz R, Mowbray D, Dowswell C, Rajaram S (2007) Norman E. Borlaug: the humanitarian plant scientist who changed the world. Plant Breed Rev 28:1–37

    Article  Google Scholar 

  • Ortiz Ferrara G (1994) Experiences, difficulties and prospects for stress resistance breeding in wheat in WANA. Melhoramento 33:105–118

    Google Scholar 

  • Ortiz Ferrara G, Bhatta MR, Pokharel TP, Mudwari A, Thapa DB, Joshi AK, Chand R, Muhammad D, Duveiller E, Rajaram S (2001) Farmer participatory variety selection in South Asia. In: Research Highlights of the Wheat Program 1999–2000. CIMMYT, Mexico D.F., pp 33–37

  • Ortiz Ferrara G, Mosaad MG, Mahalakshmi V, Rajaram S (1998) Photoperiod and vernalisation response of Mediterranean wheats, and implications for adaptation. Euphytica 100:377–384

    Article  Google Scholar 

  • Ortiz-Monasterio I, Sayre KD, Rajaram S, Mcmahon M (1997) CIMMYT’s genetic progress in wheat grain quality under four nitrogen rates. Crop Sci 37:892–998

    Article  Google Scholar 

  • Oury F-X, Brabant P, Bérard P, Pluchard P (2000) Predicting hybrid value in bread wheat: biometric modeling based on a “top-cross” design. Theor Appl Genet 100:96–104

    Article  Google Scholar 

  • Paillard S, Goldringer I, Enjalbert J, Doussinault G, Vallavieille-Pope C, Brabant P (2000a) Evolution of resistance against powdery mildew in winter wheat populations conducted under dynamic management. I. Is specific seedling resistance selected? Theor Appl Genet 101:440–456

    Google Scholar 

  • Paillard S, Goldringer I, Enjalbert J, Trottet M, David J, De Vallavieille-Pope C, Brabant P (2000b) Evolution of resistance against powdery mildew in winter wheat populations conducted under dynamic management. II. Adult plant resistance. Theor Appl Genet 101:457–462

    Article  CAS  Google Scholar 

  • Rajaram S (1999) Approaches for breaching yield stagnation in wheat. Genome 42:629–634

    Article  Google Scholar 

  • Rajaram S (2001) International wheat breeding: genetic diversity for yield potential, yield stability and improved adaptability. In: Sustainability of agricultural systems in transition. American Society of Agronomy, Madison, Wisconsin. ASA Special Publication 64:241–252

  • Rajaram S, Braun HJ, Van Ginkel M (1996) CIMMYT’s approach to breeding for drought tolerance. Euphytica 92:151–167

    Article  Google Scholar 

  • Rajaram S, van Ginkel M, Fischer RA (1995) CIMMYT’s wheat breeding mega-environments (ME). In: Proc 8th International Wheat Genetic Symposium, 19–24 July 1993, Beijing, China, pp 1101–1106

  • Reif JC, Zhang P, Dreisigacker S, Warburton ML, van Ginkel M, Hoisington D, Bohn M, Melchinger AE (2005) Wheat genetic diversity trends during domestication and breeding. Theor Appl Genet 110:859–864

    Article  PubMed  CAS  Google Scholar 

  • Reynolds MP, Borlaug NE (2006) Impacts of breeding on international collaborative wheat improvement. J Agric Sci (Camb) 144:3–17

    Article  Google Scholar 

  • Reynolds MP, Rajaram S, Sayre KD (1999) Physiological and genetic changes of irrigated wheat in the post-Green Revolution period and approaches for meeting projected global demand. Crop Sci 49:1611–1621

    Article  Google Scholar 

  • Reynolds MP, Trethowan R, Crossa J, Vargas M, Sayre KD (2004) Erratum to “Physiological factors associated with genotype by environment interaction in wheat.” Field Crops Res 85:253–274

    Google Scholar 

  • Rousell V, Koenig J, Beckert M, Balfourier F (2004) Molecular diversity in French bread wheat accessions related to temporal trends and breeding programmes. Theor Appl Genet 108:920–930

    Article  CAS  Google Scholar 

  • Sayre KD, Rajaram S, Fischer RA (1997) Yield potential progress in short bread wheats in northwest Mexico. Crop Sci 37:36–42

    Article  Google Scholar 

  • Singh RP, Rajaram S, Miranda A, Huerto-Espino J, Autrique E (1998) Comparison of two crossing and four selection schemes for yield, yield traits, and slow rusting resistance to leaf rust in wheat. Euphytica 100:25–43

    Article  Google Scholar 

  • Smale M, Reynolds MP, Warburton M, Skovmand B, Trethowan R, Singh RP, Ortiz-Monasterio I, Crossa J (2002) Dimensions of diversity in modern spring bread wheat in developing countries from 1965. Crop Sci 42:1766–1179

    Article  Google Scholar 

  • Snape JW (1998) Golden caves or white elephants? Biotechnologies for wheat improvement. Euphytica 100:207–217

    Article  Google Scholar 

  • Sutherland MW. Grams R, Collard B, Bovill W, Percy C, Wildermuth G (2004) Molecular markers for resistance to crown rot in wheat, caused by Fusarium pseudograminearum. In: Proc 3rd Australasian Soilborne Diseases Symp, Adelaide, Australia

  • Tansey G (1984) Turkey’s Green Revolution: a dryland first–an account of the Turkish wheat research and training project. 1969–1982. The Rockefeller Foundation, New York

  • Thuillet A-C, Bataillon T, Poirier S, Santoni S, David JL (2005) Estimation of long term effective population sizes through the history of durum wheat using microsatellite data. Genetics 169:1589–1599

    Article  PubMed  CAS  Google Scholar 

  • Trethowan RM, Crossa J, van Ginkel M, Rajaram S (2001) Relationships among bread wheat international yield testing locations in dry areas. Crop Science 41:1461–1469

    Article  Google Scholar 

  • Trethowan RM, Reynolds MR, Ortiz-Monasterio I, Ortiz R (2007) The genetic basis of the Green Revolution in wheat production. Plant Breed Rev 28:39–58

    Article  CAS  Google Scholar 

  • Trethowan RM, Reynolds R, Sayre K, Ortiz-Monasterio I (2005) Adapting wheat cultivars to resource conserving farming practices and human nutritional needs. Ann Appl Biol 146:405–413

    Article  Google Scholar 

  • Trethowan RM, van Ginkel M, Ammar K, Crossa J, Payne TS, Cukadar B, Rajaram S Hernandez E (2003) Associations among twenty years of international bread wheat yield evaluation environments. Crop Sci 43:1698–1711

    Article  Google Scholar 

  • Trethowan RM, van Ginkel M, Rajaram S (2002) Progress in breeding wheat for yield adaptation in global drought affected environments. Crop Sci 42:1441–1146

    Article  Google Scholar 

  • Venconsky R, Crossa J (2003) Measurements of representativeness used in genetic resources conservation and plant breeding. Crop Sci 43:1912–1921

    Article  Google Scholar 

  • Wagoire WW, Ortiz R, Hill J, Stølen O (1999) Comparison of methods for calculating heritability of grain yield and adult field resistance to yellow rust in spring wheat. Theor Appl Genet 99:1075–1079

    Article  Google Scholar 

  • Wang J, van Ginkel M, Podlich D, Ye G, Trethowan R, Pfeiffer W, Delacy IH, Cooper M, Rajaram S (2003) Comparison of two breeding strategies by computer simulation. Crop Sci 43:1764–1773

    Article  Google Scholar 

  • Wang J, van Ginkel M, Trethowan R, Ye G, Delacy I, Podlich D, Cooper M (2004) Simulating the effects of dominance and epistasis on selection response in the CIMMYT wheat breeding program using QuCim. Crop Sci 44: 2006–2018

    Article  Google Scholar 

  • Xu DH, Ban T (2004) Conversion of AFLP markers associated with FHB resistance in wheat into STS markers with an extension-AFLP method. Genome 47:660–665

    Article  PubMed  CAS  Google Scholar 

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Authors and Affiliations

  1. Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Apdo. Postal 6-641, 06600, Mexico, DF, Mexico

    Rodomiro Ortiz, Richard Trethowan, Masa Iwanaga, John H. Dodds, Jonathan H. Crouch & Jose Crossa

  2. CIMMYT, Katmandu, Nepal

    Guillermo Ortiz Ferrara

  3. CIMMYT, Ankara, Turkey

    Hans-Joachim Braun

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  1. Rodomiro Ortiz
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  2. Richard Trethowan
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  3. Guillermo Ortiz Ferrara
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  4. Masa Iwanaga
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  5. John H. Dodds
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  6. Jonathan H. Crouch
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  7. Jose Crossa
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  8. Hans-Joachim Braun
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Correspondence to Rodomiro Ortiz.

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Ortiz, R., Trethowan, R., Ferrara, G.O. et al. High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy. Euphytica 157, 365–384 (2007). https://doi.org/10.1007/s10681-007-9375-9

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