Skip to main content
Log in

Relationship between barley grain yield measured in low- and high-yielding environments

  • Review Article
  • Published:
Euphytica Aims and scope Submit manuscript

Summary

The paper addresses the general question of identifying the optimum environment for selection in plant breeding programs for low input agricultural systems. After defining low-yielding and high-yielding environments based on the average grain yield of large numbers of barley genotypes in different cropping seasons, we examined: 1) the phenotypic relationships between the highest yielding genotypes in low- and high-yielding environments, and 2) the genetic correlation coefficients between grain yield in low- and high-yielding environments. The results indicate that the alleles controlling high grain yield in low-yielding conditions are at least partially different from those controlling high grain yield in high-yielding conditions. Therefore, selection in high-yielding environments is expected to produce a negative response or no response in low-yielding environments. This may explain why crop varieties bred under high-yielding conditions failed to have an impact in low-yielding agricultural systems. The results may be extrapolated to systems where environmental concern suggests a reduction of inputs by raising the question of whether crop breeding programs based on selection under high inputs are likely to generate the right type of germplasm for an environmentally friendly agriculture.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Allen F.L., R.E. Comstock & D.C. Rasmusson, 1978. Optimal environments for yield testing. Crop Sci. 18: 747–751.

    Google Scholar 

  • Atlin G.N. & K.J. Frey, 1989. Predicting the relative effectiveness of direct versus indirect selection for oat yield in three types of stress environments. Euphytica 44: 137–142.

    Google Scholar 

  • Atlin G.N. & K.J. Frey, 1990. Selecting oat lines for yield in low-productivity environments. Crop Sci. 30: 556–561.

    Google Scholar 

  • Byth D.E., B.E. Caldwell & C.R. Weber, 1969. Specific and non-specific index selection in soybeans, Glycine max L. (Merrill). Crop Sci. 9: 702–705.

    Google Scholar 

  • Ceccarelli S., 1989. Wide adaptation. How wide? Euphytica 40: 197–205.

    Google Scholar 

  • Ceccarelli S. & S. Grando, 1989. Efficiency of empirical selection under stress conditions. J. Genet. & Breed. 43: 25–31.

    Google Scholar 

  • Ceccarelli S. & S. Grando, 1991a. Selection environment and environmental sensitivity in barley. Euphytica 57: 157–167.

    Google Scholar 

  • Ceccarelli S. & S. Grando, 1991b. Environment of selection and type of germplasm in barley breeding for stress conditions. Euphytica 57: 207–219.

    Google Scholar 

  • Ceccarelli S., J. Valkoun, W. Erskine, S. Weigand, R. Miller & J.A.G. van Leur, 1992. Plant genetic resources and plant improvement as tools to develop sustainable agriculture. Expl. Agric. 28: 89–98.

    Google Scholar 

  • Eisen E.J. & A.M. Saxton, 1983. Genotype by environment interactions and genetic correlations involving two environmental factors. Theor. Appl. Genet. 67: 75–86.

    Google Scholar 

  • Falconer D.S., 1952. The problem of environment and selection. Am. Nat. 86: 293–298.

    Google Scholar 

  • Falconer D.S., 1981. Introduction to quantitative genetics. 2nd Ed. Longmann Group Ltd., London.

    Google Scholar 

  • Falconer D.S., 1990. Selection in different environments: effects on environmental sensitivity (reaction norm) and on mean performance. Genet. Res. Camb. 56: 57–60.

    Google Scholar 

  • Fernando R.L., S.A. Knights & D. Gianola, 1984. On a method of estimating the genetic correlation between characters measured in different experimental units. Theor. Appl. Genet. 67: 175–178.

    Google Scholar 

  • Frey K.J., 1964. Adaptation of oat strains selected under stress and non-stress environmental conditions. Crop Sci. 4: 55–58.

    Google Scholar 

  • Gallais, A., 1983. Use of indirect selection in plant breeding. In: Efficiency in Plant Breeding, Proc. 10th Congress of Eucarpia, pp. 45–60. Wageningen, the Netherlands.

  • Gotoh K. & S. Osanai, 1959. Efficiency of selection for yield under different fertilizer levels in a wheat cross. Jpn. J. Breed. 9: 173–178.

    Google Scholar 

  • Itoh Y. & Y. Yamada, 1990. Relationships between genotype x environment interaction and genetic correlation of the same trait measured in different environments. Theor. Appl. Genet. 80: 11–16.

    Google Scholar 

  • Pederson D.G. & A.J. Rathjen, 1981. Choosing trials sites to maximize selection response for grain yield in spring wheat. Aust. J. Agric. Res. 32: 411–424.

    Google Scholar 

  • Pfeiffer W.H., 1988. Drought tolerance in bread wheat—Analysis of yield improvement over the years in CIMMYT germplasm. In: A.R. Klatt (Ed.) Wheat Production Constraints in Tropical Environments, pp. 274–284. CIMMYT, Mexico DF, Mexico.

    Google Scholar 

  • Rosielle A.A. & J. Hamblin, 1981. Theoretical aspects of selection for yield in stress and non-stress environments. Crop Sci. 21: 943–946.

    Google Scholar 

  • Roy N.N. & O.R. Murty, 1970. A selection procedure in wheat for stress environments. Euphytica 19: 509–521.

    Google Scholar 

  • Simmonds N.W., 1991. Selection for local adaptation in a plant breeding programme. Theor. Appl. Genet. 82: 363–367.

    Google Scholar 

  • Via S., 1984. The quantitative genetics of polyphagy in an insect herbivore. II. Genetic correlations in larval performance within and among host plants. Evolution 38: 896–905.

    Google Scholar 

  • Yamada Y., 1962. Genotype by environment interaction and genetic correlation of the same trait under different environments. Jpn. J. Genet. 37: 498–509.

    Google Scholar 

  • Yamada Y., Y. Itoh & I. Sugimoto, 1988. Parametric relationships between genotype x environment interaction and genetic correlation when two environments are involved. Theor. Appl. Genet. 76: 850–854.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ceccarelli, S., Grando, S. & Hamblin, J. Relationship between barley grain yield measured in low- and high-yielding environments. Euphytica 64, 49–58 (1992). https://doi.org/10.1007/BF00023537

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00023537

Key words

Navigation