Skip to main content
SpringerLink
Log in

Gene action of canopy temperature in bread wheat under diverse environments

  • Original Paper
  • Published:
Theoretical and Applied Genetics Aims and scope Submit manuscript

Abstract

While canopy temperature (CT) shows a strong and reliable association with yield under drought and heat stress and is used in wheat breeding to select for yield, little is known of its genetic control. The objective of this study was to determine the gene action controlling CT in five wheat populations grown in diverse environments (heat, drought, and well-irrigated conditions). CT showed negative phenotypic correlations with grain yield under drought and well-irrigated environments. Additive × additive effects were most prevalent and significant for all crosses and environments. Dominance and dominance × dominance gene actions were also found, though the significance and direction was specific for each environment and genotypic cross. The use of CT as a selection criterion to improve tolerance to drought was supported by its significant association with grain yield and the genotype differences observed between cultivars. Our results indicated that genetic gains for CT in wheat could be achieved through conventional breeding. However, given some dominance and epistatic effects, it would be necessary to delay the selection process until the frequency of heterozygous loci within families is reduced.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Amani I, Fischer RA, Reynolds MP (1996) Canopy temperature depression association with yield of irrigated spring wheat cultivars in a hot climate. J Agron Crop Sci 176:199–229

    Article  Google Scholar 

  • Araus JL (1996) Integrative physiological criteria associated with yield potential. In: Reynolds MP, Rajaram S, McNab A (eds) Increasing yield potential in wheat: Breaking the barriers. CIMMYT, Mexico, pp 150–166

    Google Scholar 

  • Araus JL (2003) Breeding cereals for Mediterranean conditions: ecophysiological clues for biotechnology applications. Ann Appl Biol 142:129–141

    Article  Google Scholar 

  • Araus JL, Slafer GA, Reynolds MP, Royo C (2002) Plant breeding and drought in C-3 cereals: what should we breed for? Ann Bot 89:925–940

    Article  PubMed  Google Scholar 

  • Araus JL, Villegas D, Aparicio N, del Moral LFG, El Hani S, Rharrabti Y, Ferrio JP, Royo C (2003) Environmental factors determining carbon isotope discrimination and yield in durum wheat under Mediterranean conditions. Crop Sci 43:170–180

    Google Scholar 

  • Ayeneh A, van Ginkel M, Reynolds MP, Ammar K (2002) Comparison of leaf, spike, peduncle, and canopy temperature depression in wheat under heat stress. Field Crops Res 79:173–184

    Article  Google Scholar 

  • Balota M, Payne WA, Evett SR, Lazar MD (2007) Canopy temperature depression sampling to assess grain yield and genotypic differentiation in winter wheat. Crop Sci 47:1518–1529

    Article  Google Scholar 

  • Blum A, Shpiler L, Gozlan G, Mayer J (1989) Yield stability and canopy temperature of wheat genotypes under drought stress. Field Crops Res 22:289–296

    Article  Google Scholar 

  • Condon AG, Richards RA (1992) Broad-sense heritability and genotype × environment interaction for carbon isotope discrimination in field-grown wheat. Aust J Agric Res 43:921–934

    Article  Google Scholar 

  • Condon AG, Richards RA, Rebetzke GJ, Farquhar GD (2002) Improving intrinsic water-use efficiency and crop yield. Crop Sci 42:122–131

    Article  PubMed  Google Scholar 

  • Falconer DS (1989) Introduction to quantitative genetics. Wiley, New York

    Google Scholar 

  • Fischer RA, Rees D, Sayre KD, Lu Z-M, Condon AG, Saavedra AL (1998) Wheat yield progress associated with higher stomatal conductance and photosynthetic rate, and cooler canopies. Crop Sci 38:1467–1475

    Google Scholar 

  • Foolad MR, Lin GY (2001) Genetic analysis of cold tolerance during vegetative growth in tomato, Lycopersicon esculentum Mill. Euphytica 122:105–111

    Article  Google Scholar 

  • Gamble EE (1962) Gene effects in corn (Zea mays L) I. Separation and relative importance of gene effects for yield. Can J Plant Sci 42:339–348

    Article  Google Scholar 

  • Gusmini G, Wehner TC, Donaghy SB (2007) SASQuant: a SAS software program to estimate genetic effects and heritabilities of quantitative traits in populations consisting of 6 related generations. J Hered 98:345–350

    Article  PubMed  Google Scholar 

  • Hayman BI (1958) The separation of epistatic from additive and dominance variation in generation means. Heredity 12:371–390

    Article  Google Scholar 

  • Lande R, Thompson R (1990) Efficiency of marker-assisted selection in the improvement of quantitative traits. Genetics 124:743–756

    CAS  PubMed  Google Scholar 

  • Limón-Ortega A, Sayre KD, Francis CA (2000) Wheat and maize yields in response to straw management and nitrogen under a bed-planting system. Agron J 92:295–302

    Article  Google Scholar 

  • Liu H, Zou G, Liu G, Hu S, Li M, Yu X, Mei H, Luo L (2005) Correlation analysis and QTL identification for canopy temperature, leaf water potential and spikelet fertility in rice under contrasting moisture regimes. Chin Sci Bull 50:317–326

    CAS  Google Scholar 

  • Mather K, Jinks JL (1971) Biometrical genetics. Chapman and Hall, London

    Google Scholar 

  • Mathews KL, Malosetti M, Chapman S, McIntyre L, Reynolds M, Shorter R, van Eeuwijk F (2008) Multi-environment QTL mixed models for drought stress adaptation in wheat. Theor Appl Genet 117:1077–1091

    Article  PubMed  Google Scholar 

  • Milus EA, Line RF (1986) Gene action for inheritance of durable, high-temperature, adult-plant resistance to stripe rust in wheat. Phytopathology 76:435–441

    Article  Google Scholar 

  • Olivares-Villegas JJ, Reynolds MP, McDonald GK (2007) Drought-adaptive attributes in the Seri/Babax hexaploid wheat population. Funct Plant Biol 34:189–203

    Article  Google Scholar 

  • Pinto S, Chapman SC, McIntyre CL, Shorter R, Reynolds M (2008) QTL for canopy temperature response related to yield in both heat and drought environments. In: Appels R, Eastwood R, Lagudah E, Langridge P, Mackay M, McIntyre L, Sharp P (eds) Proceedings of the 11th international wheat genetics symposium. Brisbane, Australia

  • Rashid A, Stark JC, Tanveer A, Mustafa T (1999) Use of canopy temperature measurements as a screening tool for drought tolerance in spring wheat. J Agron Crop Sci 182:231–237

    Article  Google Scholar 

  • Rebetzke GJ, Condon AG, Richards RA, Farquhar GD (2003) Genetic control of leaf conductance in three wheat crosses. Aust J Agric Res 54:381–387

    Article  Google Scholar 

  • Rebetzke GJ, Richards RA, Condon AG, Farquhar GD (2006) Inheritance of reduced carbon isotope discrimination in bread wheat (Triticum aestivum L.). Euphytica 150:97–106

    Article  CAS  Google Scholar 

  • Reynolds MP, Balota M, Delgado MIB, Amani I, Fischer RA (1994) Physiological and morphological traits associated with spring wheat yield under hot, irrigated conditions. Aust J Plant Physiol 21:717–730

    Article  Google Scholar 

  • Reynolds MP, Ortiz-Monasterio JI, McNab A (2001) Application of physiology in wheat breeding. CIMMYT, Mexico, pp 124–135

    Google Scholar 

  • Reynolds MP, Saint Pierre C, Saad ASI, Vargas M, Condon AG (2007) Evaluating potential genetic gains in wheat associated with stress-adaptive trait expression in elite genetic resources under drought and heat stress. Crop Sci 47:S-172–S-189

    Article  Google Scholar 

  • Reynolds M, Manes Y, Izanloo A, Langridge P (2009) Phenotyping approaches for physiological breeding and gene discovery in wheat. Ann Appl Biol 155:309–320

    Article  Google Scholar 

  • Richards RA (1996) Defining selection criteria to improve yield under drought. Plant Growth Regul 20:157–166

    Article  CAS  Google Scholar 

  • Richards RA, Rebetzke GJ, Condon AG, van Herwaarden AF (2002) Breeding opportunities for increasing the efficiency of water use and crop yield in temperate cereals. Crop Sci 42:111–121

    Article  PubMed  Google Scholar 

  • Rowe KE, Alexander WL (1980) Computations for estimating the genetic parameters in joint-scaling tests. Crop Sci 20:109–110

    Article  Google Scholar 

  • Royo C, Villegas D, García del Moral LF, Elhani S, Aparicio N, Rharrabti Y, Araus JL (2002) Comparative performance of carbon isotope discrimination and canopy temperature depression as predictors of genotype differences in durum wheat yield in Spain. Aust J Agric Res 53:561–569

    Article  Google Scholar 

  • SAS Institute (2004) SAS Institute, Cary

  • Sojka RE, Stolzy HL, Fischer RA (1981) Seasonal drought response of selected wheat cultivars. Agron J 73:838–845

    Article  Google Scholar 

  • Steel RGD, Torrie JH, Dickey DA (1997) Principles and procedures of statistics, a biometrical approach. McGraw-Hill, New York

    Google Scholar 

  • Trethowan RM, Reynolds MP (2007) Drought resistance: genetic approaches for improving productivity under stress. In: Buck HT, Nisi JE, Salomón N (eds) Wheat production in stressed environments. Springer, The Netherlands, pp 289–299

    Chapter  Google Scholar 

  • Trethowan RM, van Ginkel M, Rajaram S (2002) Progress in breeding wheat for yield and adaptation in global drought affected environments. Crop Sci 42:1441–1446

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank Rubeena Shaikh for her contribution in the development of the wheat populations used in this study; Greg Rebetzke for his assistance in the experimental design; Gregorio Alvarado for his statistical assistance, and Araceli Torres Garcia, Jose Luis Barrios Gonzalez, and Eugenio Perez Dorame for technical greenhouse/field support. This work was financially supported by the Grains Research and Development Corporation (GRDC), Australia.

Author information

Authors and Affiliations

  1. CIMMYT, Int, Km. 45 Carretera Mexico-Veracruz, CP 56130, El Batan, Texcoco, Mexico

    Carolina Saint Pierre, Jose Crossa, Yann Manes & Matthew P. Reynolds

Authors
  1. Carolina Saint Pierre
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jose Crossa
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yann Manes
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Matthew P. Reynolds
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Carolina Saint Pierre.

Additional information

Communicated by P. Langridge.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Saint Pierre, C., Crossa, J., Manes, Y. et al. Gene action of canopy temperature in bread wheat under diverse environments. Theor Appl Genet 120, 1107–1117 (2010). https://doi.org/10.1007/s00122-009-1238-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00122-009-1238-4

Keywords

Search

Navigation