Literature DB >> 15558230

Use of artificial environments to reproduce and exploit genotype x location interaction for lucerne in northern Italy.

P Annicchiarico1, E Piano.   

Abstract

Genotype x environment interaction effects can be exploited by breeding for specific adaptation to well-defined subregions within a target region. Previous work showed that genotype x location interaction for dry matter (DM) yield of lucerne (Medicago sativa L. subsp. sativa) cultivars in northern Italy is large and associated with soil type and level of summer drought stress of locations, suggesting the presence of two contrasting subregions. Thirteen farm landraces collected across the region and four control varieties were evaluated for DM yield in four artificial environments created at one site by the factorial combination of soil type (sandy loam or silty clay) and drought stress level (almost nil or high) for: (1) exploring the possibility to reproduce in artificial environments the adaptation patterns occurring across the region; (2) investigating the adaptation pattern of landraces and its relationship with environmental factors at collecting sites; and (3) providing a preliminary comparison of wide- versus specific-adaptation strategies based on yield gains predicted from selection of populations. Different soils filled large (24.0x1.6x0.8-m deep), bottomless containers in concrete. Water amounts were controlled by irrigation under a moving rain shelter. Cultivars varied largely for adaptation pattern across the artificial environments, mainly due to cultivar x stress interaction. Better response to stress conditions of landraces was closely associated with the level of summer drought at collecting sites (r=0.82), highlighting the importance of evolutionary adaptation. The additive main effects and multiplicative interaction-modelled responses of control cultivars successfully reproduced those observed across locations, candidating the artificial environments as a cheaper alternative to more selection locations when breeding for wide or specific adaptation. The latter implied about 40-50% greater estimated gains relative to breeding for wide adaptation.

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Year:  2004        PMID: 15558230     DOI: 10.1007/s00122-004-1811-9

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


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Authors:  N W Simmonds
Journal:  Theor Appl Genet       Date:  1991-09       Impact factor: 5.699

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Journal:  Theor Appl Genet       Date:  1993-06       Impact factor: 5.699

3.  A selection strategy to accommodate genotype-by-environment interaction for grain yield of wheat: managed-environments for selection among genotypes.

Authors:  M Cooper; D R Woodruff; R L Eisemann; P S Brennan; I H Delacy
Journal:  Theor Appl Genet       Date:  1995-03       Impact factor: 5.699

4.  Robustness of statistical tests for multiplicative terms in the additive main effects and multiplicative interaction model for cultivar trials.

Authors:  H P Piepho
Journal:  Theor Appl Genet       Date:  1995-03       Impact factor: 5.699

  4 in total
  3 in total

1.  Wide- versus specific-adaptation strategy for lucerne breeding in northern Italy.

Authors:  P Annicchiarico
Journal:  Theor Appl Genet       Date:  2006-12-06       Impact factor: 5.699

2.  Accuracy of genomic selection for alfalfa biomass yield in different reference populations.

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Journal:  BMC Genomics       Date:  2015-12-01       Impact factor: 3.969

3.  Development and Proof-of-Concept Application of Genome-Enabled Selection for Pea Grain Yield under Severe Terminal Drought.

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Journal:  Int J Mol Sci       Date:  2020-03-31       Impact factor: 5.923

  3 in total

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