4.7 Article

Coarse and fine regulation of wheat yield components in response to genotype and environment

Journal

FIELD CROPS RESEARCH
Volume 157, Issue -, Pages 71-83

Publisher

ELSEVIER
DOI: 10.1016/j.fcr.2013.12.004

Keywords

Triticum aestivum; Grains per m(2); Grain weight; Grains per spike; Spikes per m(2)

Categories

Funding

  1. Ministry of Economy and Competitiveness, Government of Spain [AGL2009-11964, AGL2012-3500]
  2. Grains Research and Development Corporation of Australia
  3. South Australian Grain Industry Trust
  4. ICREA Funding Source: Custom

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Wheat yield is frequently analysed in terms of yield components (spikes per m(2), grains per spike, grain size), and correlations between components are commonly reported, but partially understood. Compensations between components are one of the main barriers to improve yield using this approach. Understanding better the nature of these relationships is therefore important. We compiled a large database (n = 846) of wheat yield (ranging from 1.3 to 14.8 Mg ha(-1)) under field conditions to further investigate the relationships between yield components from the viewpoint of phenotypic plasticity. We found two main hierarchies between plasticities. Hierarchy 1, grains per m(2) >> grain size, has been widely described before and is supported empirically and theoretically; here this hierarchy lends confidence in our analytical method. Hierarchy 2, spikes per m(2) > grains per spike, is demonstrated for the first time. These hierarchies are interpreted in terms of coarse and fine regulation of grain yield (Hierarchy 1), and grains per m(2) (Hierarchy 2). This means small changes in yield or grains per m(2) can be accounted for by any of their components, but large changes in yield can only be accommodated by grains per m(2), and large changes in grains per m(2) are primarily associated with heads per m(2). Further, we showed that the rankings of responses of yield components depend on the nature of the driver, i.e. genotype or environment. Both hierarchies are much stronger when the driver is environmental factors (e.g. water supply). When the driver is genotype, and this means we are not strictly dealing with plasticity but trait responsiveness to genotype, the rankings are weaker. Strong, negative relationships between components were found for small changes in yield or in grains per m(2) for both environmental and genetic factors, implying strong trade-offs. For large changes, trade-offs were generally less relevant but much stronger for components of yield than for components of grains per m(2). For large changes in grains per m(2) associated with environmental factors, the negative relationship between grains per spike and of spikes per m(2) was weak but when they were associated with genetic factors, the negative relationship was strong. In conclusion, our study reinforces the hierarchy of plasticities between components of grain yield, reveals a hierarchy between the components of grains per m(2), and demonstrates that the strength of the trade-off between components of either yield or grains per m(2) depends upon the magnitude of yield changes and, for large changes, the source of variation. A practical corollary is that breeding and agronomy could potentially achieve modest to intermediate yield increase involving any components, which would exhibit some trade-offs. Agronomic interventions are more likely to lead to large yield improvement, mainly through increase in grains per m(2) with negligible trade-offs in grain size. (C) 2013 Elsevier B.V. All rights reserved.

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