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Breeding for low input conditions and consequences for participatory plant breeding examples from tropical maize and wheat

Bänziger, Marianne, Cooper, Mark·2001·Euphytica

DOI 10.1023/a:1017510928038

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Introduction to Quantitative Genetics.
Edwards, A. W. F., & Falconer, D. S. (1982) · Biometrics · doi:10.2307/2529912 · Cited by 21,447
Introduction to Quantitative Genetics
J.-M., G., & Falconer, D. S. (1962) · Population · doi:10.2307/1525780 · Cited by 3,773
Theoretical Aspects of Selection for Yield in Stress and Non‐Stress Environment 1
Rosielle, A. A., & Hamblin, J. (1981) · Crop Science · doi:10.2135/cropsci1981.0011183x002100060033x · Cited by 1,355
Accounting for natural and extraneous variation in the analysis of field experiments
Gilmour, A. R., Cullis, B. R., Verbyla, A. P., & Verbyla, A. P. (1997) · Journal of Agricultural, Biological, and Environmental Statistics · doi:10.2307/1400446 · Cited by 752
Plant Adaptation and Crop Improvement
(1996) · doi:10.1079/9780851991085.0000 · Cited by 745
The importance of the anthesis-silking interval in breeding for drought tolerance in tropical maize
Bolaños, J., & Edmeades, G. O. (1996) · Field Crops Research · doi:10.1016/0378-4290(96)00036-6 · Cited by 652
Relationships among analytical methods used to study genotypic variation and genotype-by-environment interaction in plant breeding multi-environment experiments
Cooper, M., & DeLacy, I. H. (1994) · Theoretical and Applied Genetics · doi:10.1007/bf01240919 · Cited by 349
Self-citation
Increasing yield potential in wheat: Breaking the barriers
Reynolds, M. P., Rajaram, S., & McNab, A. S. (1996) · Cited by 338
Spatial Analysis of Field Experiments-An Extension to Two Dimensions
Cullis, B. R., & Gleeson, A. C. (1991) · Biometrics · doi:10.2307/2532398 · Cited by 325
Developing drought- and low N-tolerant maize
Edmeades, G. O., Bänziger, M., Mickelson, H. R., & Peña-Valdivia, C. B. (1997) · Cited by 307
Self-citation

Show all 91 references

Research works printed but not linked: 22

Baker, R.J., 1988. Differential response to environmental stress. In: B.S. Weir, E.J. Eisen, M.M. Goodman & G. Namkoong (Eds.), Proc 2nd Int Conf on Quant Genet, pp. 492–504. Sinauer Associates, Inc., Sunderland Massachusetts, USA.
Bänziger, M., G.O. Edmeades & S. Quarrie, 1997b. Drought stress at seedling stage - are there genetic solutions? In: G.O. Edmeades, M. Bänziger, H.R. Mickelson & C.B. Peña-Valdivia (Eds.), Developing Drought and Low N-Tolerant Maize, pp. 348–354. Proc of a Symposium, El Batán, Mexico, March 25–29, 1996. CIMMYT, Mexico D.F., Mexico.
Bänziger, M., N. Damu, M. Chisenga & F. Mugabe, 1999a. Evaluating the drought tolerance of some popular maize hybrids grown in sub-Saharan Africa. In: CIMMYT & EARO (Eds.), Maize Production Technology for the Future: Challenges and Opportunities. pp 61–63. Proc 6th Eastern and Southern Africa Regional Maize Conference, Addis-Ababa, Ethiopia, 21–25 September, 1998. CIMMYT, Addis-Ababa, Ethiopia.
Brennan, J.P. & P.N. Fox, 1995. Impact of CIMMYT wheats in Australia: Evidence of international research spillovers. Economic Research Report 1/95, NSW Agriculture, New South Wales, Australia.
CIMMYT, 1988. Maize Production Regions in Developing Countries. CIMMYT, Mexico D.F., Mexico.
Comstock, R.E, 1977. Quantitative genetics and the design of breeding programs. In: E. Pollack, O. Kempthorne & T.B. Bailey, Jr. (Eds.), Proc Int Conf Quant Genet, pp. 705–718. The Iowa State University Press, Ames, USA.
Cooper, M. & G.L. Hammer, 1996a. Plant Adaptation and Crop Improvement. CAB International, Wallingford, England. · DOI · Paper page
Defoer, T., 1998. Farmer participation and crop improvement. In: L. Bacci & F.N. Reyniers (Eds.), The Future of Photoperiodical Cereals for Sustainable Production in the semiarid Tropics of Africa, Florence, Italy, 27–30 April 1998, pp. 149–161. CIRAD, Montpellier, France.
Edmeades, G.O., M. Bänziger, C.M. Cortés & C.A. Ortega, 1997. From stress-tolerant populations to hybrids: The role of source germplasm. In: G.O. Edmeades, M. Bänziger, H.R. Mickelson & C.B. Peña-Valdivia (Eds.), Developing Drought and Low N-Tolerant Maize. Proc Symp, El Batán, Mexico, March 25–29, 1996, pp. 263–273. CIMMYT, Mexico D.F., Mexico.
Edmeades, G.O., J. Bolaños, M. Bänziger, J.M. Ribaut, J.W. White, M.P. Reynolds & H.R. Lafitte, 1998. Improving crop yields under water deficits in the tropics. In: V.L. Chopra, R.B. Singh & A. Varma (Eds.), Crop Productivity and Sustainability - Shaping the Future. Proc 2nd Int Crop Sci Congr, New Dehli, India, pp. 437–451. Oxford and IBH, New Delhi, India.
Kang, M.S., 1990. Genotype-By-Environment Interaction and Plant Breeding. Louisiana State University Agricultural Center, Baton Rouge, USA.
Lafitte, H.R., M. Bänziger, M.A. Bell & G.O. Edmeades, 1997a. Addressing soil variability in low nitrogen breeding programs. In: G.O. Edmeades, M. Bänziger, H.R. Mickelson & C.B. Peña-Valdivia (Eds.), Developing Drought and Low N-Tolerant Maize. Proc Symp, El Batán, Mexico, March 25–29, 1996, pp. 537–540. CIMMYT, Mexico D.F., Mexico.
Lafitte, H.R., M. Bänziger, G.O. Edmeades, 1997b. Maize landraces: sources of tolerante to low soil nitrogen? In: G.O. Edmeades, M. Bänziger, H.R. Mickelson & C.B. Peña-Valdivia (Eds.), Developing Drought and Low N-Tolerant Maize. Proc Symp, El Batán, Mexico, March 25–29, 1996, pp. 313–315. CIMMYT, Mexico D.F., Mexico.
Morgan, J.M., 1999. Breeding for a wheat osmoregulation gene: a simple method, linkage considerations and yield effects. In: P. Williamson, P. Banks, I. Haak, J. Thompson & A. Campbell (Eds.), Proc 9th assembly of the wheat breeding society of Australia, pp. 88–90. The University of Southern Queensland, Toowoomba, Australia.
Rathjen, A.J., 1994. The biological basis of genotype × environment interaction - its definition and management. In: J. Paull, I.S. Dundas, K.J. Shepherd & G.J. Hollamby (Eds.), Proc 7th assembly: Wheat Breeding - Into the second century, pp. 13–17. Wheat Breeding Society of Australia, Adelaide, Australia.
Rathjen, A.J., J.D. Brand, C.-Y. Liu, J.G. Paull & D. Cooper, 1999. Breeding for tolerance to soil toxicities. In: P. Langridge, A. Barr, G. Auricht, G. Collins, A. Granger, D. Handford & J. Paull (Eds.), Proc 11th Australian Plant Breeding Conference (Volume 1), pp. 34–40. CRC for Molecular Plant Breeding, University of Adelaide, Australia.
Ribaut, J.-M., D. Hoisington, G.O. Edmeades, E. Huerta & D. González-de-León, 1997. Changes in allelic frequencies in a tropical maize population under selection for drought tolerance. In: G.O. Edmeades, M. Bänziger, H.R. Mickelson & C.B. Peña-Valdivia (Eds.), Developing Drought and Low N-Tolerant Maize. Proc Symp, El Batán, Mexico, March 25–29, 1996, pp. 392–395. CIMMYT, Mexico D.F., Mexico.
Richards, R.A., G.J. Rebetzke, A.G. Condon, A.F. van Herwaarden, B.L. Duggan & R. Munns, 1999. Targeting physiological traits to overcome environmental limitations and raise the yield potential of dryland crops. In: P. Langridge, A. Barr, G. Auricht, G. Collins, A. Granger, D. Handford & J. Paull (Eds.), Proc 11th Australian Plant Breeding Conference (Vol 1), pp. 27–33. CRC for Molecular Plant Breeding, University of Adelaide, Australia.
Sthapit, B.R., K.D. Joshi & J.R. Witcombe, 1996. Participatory rice breeding in Nepal. Crop Impr 23: 179–188.
Watson, S.L., I.H. DeLacy, D.W. Podlich & K.E. Basford, 1996. GEBEI An analysis package using agglomerative hierarchical classificatory and SVD ordination procedures for genotype × environment data. Version 2.0 for DOS. Centre for Stadstics Research Report 57, The University of Queensland, Brisbane, Queensland, Australia.
Williams, E.R. & M. Talbot, 1993. ALPHA+: Experimental designs for variety trails. Design User Manual. CSIRO, Canberra and SASS, Edinburgh, Australia.
Witcombe, J.R. & A. Joshi, 1996. Farmer participatory crop improvement methods. Crop Impr 23: 112–122.

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Authors: Bänziger, M., & Cooper, M.
Affiliations: The University of Queensland (AU)
ORCID: Cooper, Mark
Venue: Euphytica
Publisher: Springer Science and Business Media LLC
Published: 2001-12
Volume: 122
Issue: 3
Pages: 503-519
ISSN: 0014-2336 (ISSN-L)
1573-5060
DOI: 10.1023/a:1017510928038
OpenAlex: W1588018042
Cited by: 190
References: 91
Citations by year: 2026: 5 · 2025: 5 · 2024: 6 · 2023: 6 · 2022: 7 · 2021: 7 · 2020: 6 · 2019: 13 · 2018: 12 · 2017: 6 · 2016: 7 · 2015: 4 · 2014: 14 · 2013: 13 · 2012: 9
FWCI: 5.45
Type: journal article
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Euphytica (publishedVersion)
Topics: Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetics and Plant Breeding
Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agricultural Productivity and Crop Improvement
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
Keywords: participatory plant breeding, tropical maize, spring wheat, genetic advance, selection response, heritability, genetic correlation, environmental constraints, CIMMYT

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Breeding for low input conditions and consequences for participatory plant breeding examples from tropical maize and wheat

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