Literature DB >> 17186218

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

P Annicchiarico1.   

Abstract

This study is aimed at comparing wide- versus specific-adaptation strategies for lucerne in northern Italy on the basis of actual dry matter yield gains over 12 harvests from phenotypic selection, assessing the value of specific genetic bases and selecting environments for the contrasting subregion A (no drought stress/sandy-loam soil) and subregion C (summer drought stress/silty-clay soil). A second aim is to investigate the adaptive responses of five sets of 18 half-sib progenies. The following selected populations were evaluated along with five cultivars: GW-SW, GA-SA, GA-SC, GC-SC and GC-SA (where GW, GA and GC are the genetic bases for wide adaptation, subregions A and C; SW, SA and SC are the selection environments for wide adaptation, subregions A and C). The selection and test environments were four artificial environments created by the factorial combination of two drought stress levels by two soil types. Two environments represented the subregions A and C whereas the combination of the other two environments represented the intermediate subregion B. Genotype x environment interaction (P < or = 0.001) due to both environmental factors and implying cross-over interaction between the contrasting subregions occurred for the populations and the five selections. Specific genetic bases (GA and GC) implied gains in their target subregions of 5.2% for subregion A and 2.9% for subregion C compared with the widely adapted one (GW). The gain of SA ('no stress/sandy-loam soil') over SC ('stress/silty-clay soil') decreased from subregion A (10.6%) through subregion C (1.7%) but exhibited an advantage per se across environments of 5.4%. The best specific selections (GA-SA for subregions A and B; GC-SA for subregion C) implied higher yields of 9.8% in subregion A and 6.5% in subregion C, and over twofold greater selection efficiency across the region, relative to GW-SW. Half-sib progeny x artificial environment interaction (P < or = 0.05) occurred in three sets of progenies whose parents belonged to cultivars with different or similar adaptation.

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Year:  2006        PMID: 17186218     DOI: 10.1007/s00122-006-0465-1

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


  4 in total

1.  A parsimonious statistical design and breeding procedure for evaluating and selecting desirable characteristics over environments.

Authors:  W T Federer; B T Scully
Journal:  Theor Appl Genet       Date:  1993-06       Impact factor: 5.699

2.  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

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

Authors:  P Annicchiarico; E Piano
Journal:  Theor Appl Genet       Date:  2004-11-19       Impact factor: 5.699

  4 in total

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