Selection response in subdivided target regions
By G. Atlin, R. J. Baker, K. Mcrae, Xuewen Lu. 2000
173 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/30cdb006378f80640ca4c3455af4f12e48d3fef0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Jose Crossa
- Juan Burgueño
- P. Cornelius
- Rong‐Cai Yang
- Hugh G. Jr Gauch
- Mark Cooper
- P. Annicchiarico
- R. Mohammadi
In Plant Science
- Jose Crossa
- Juan Burgueño
- P. Cornelius
- Rong‐Cai Yang
- Hugh G. Jr Gauch
- R. Mohammadi
- Hans-Peter Piepho
- Mark Cooper
Citations in the corpus
- Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution (2009, background): “…GE literature and the recent overemphasis on visual description and characterization of GE interaction by biplot proponents has sidetracked other important perspectives centering around impacts of GE on selection response and breeding strategy (e.g., Atlin et al., 2000; Piepho and Mohring, 2005).”
- Genetic variation and environmental stability of grain mineral nutrient concentrations in Triticum dicoccoides under five environments (2009, unknown): “In general higher r(2)GE=r 2 G ratios indicate that subdivision could accelerate the genetic gains due to specific adaptation patterns resulting from high G 9 E interactions, while low r(2)GE=r 2 G ratios are indicators of low G 9 E meaning that broadly adapted genotypes could be identified (Atlin e”
- A comparison of formal and participatory breeding approaches using selection theory (2001, background): “This component results from changes in relative performance of genotypes from year to year and site-year combination to site-year combination, and is unlikely to be reduced by subdividing the target region further, because it is not a result of local adaptation (Atlin et al., 2000).”
- Statistical Analysis of Yield Trials by AMMI and GGE: Further Considerations (2008, background): “In addition, a preference for simple models and fewer mega-environments may arise from the tradeoff between the advantage of greater gains from specifi c adaptation and the disadvantage of less data and hence less accuracy within each mega-environment that derive from increasing the number of mega-e”
- Efficiency of screening techniques for evaluating durum wheat genotypes under mild drought conditions. (2010, background): “If the strategy of breeding program is to improve yield in a stressed and non-stressed environments, it may be possible to focus on local adaptation to increase gains from selection concluded directly in that environment (Atlin et al., 2000; Hohls, 2001).”
- Developments in breeding cereals for organic agriculture (2008, unknown): “Wide or specific adaptation Target environments can be sub-divided into homogeneous subregions in which genotype by location (GxL) interactions are minimized and within-subregions genetic variances are increased (Comstock and Moll 1963; Ceccarelli 1989; Atlin et al. 2000a).”