(Q38943263)

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Environment characterization as an aid to wheat improvement: interpreting genotype-environment interactions by modelling water-deficit patterns in North-Eastern Australia

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scholarly article

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Europe PubMed Central

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7 September 2017

Environment characterization as an aid to wheat improvement: interpreting genotype-environment interactions by modelling water-deficit patterns in North-Eastern Australia (English)

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Europe PubMed Central

PubMed publication ID

7 September 2017

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K Chenu

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M Cooper

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Graeme L Hammer

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G L Hammer

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K L Mathews

4

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Europe PubMed Central

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7 September 2017

M F Dreccer

5

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Europe PubMed Central

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7 September 2017

S C Chapman

6

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Europe PubMed Central

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7 September 2017

publication date

1 March 2011

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7 September 2017

Journal of Experimental Botany

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Europe PubMed Central

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7 September 2017

62

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Europe PubMed Central

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7 September 2017

6

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Europe PubMed Central

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7 September 2017

1743-1755

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Europe PubMed Central

PubMed publication ID

7 September 2017

Phylloclimate or the climate perceived by individual plant organs: what is it? How to model it? What for?

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a "gene-to-phenotype" modeling approach

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

Multi-environment QTL mixed models for drought stress adaptation in wheat.

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

QU-GENE: a simulation platform for quantitative analysis of genetic models.

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

Advantage of single-trial models for response to selection in wheat breeding multi-environment trials

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

Dealing with the genotype x environment interaction via a modelling approach: a comparison of QTLs of maize leaf length or width with QTLs of model parameters

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

A Sunflower Simulation Model: I. Model Development

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

An overview of APSIM, a model designed for farming systems simulation

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

Development of a generic crop model template in the cropping system model APSIM

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

Mixed models including environmental covariables for studying QTL by environment interaction

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

PAPER PRESENTED AT INTERNATIONAL WORKSHOP ON INCREASING WHEAT YIELD POTENTIAL, CIMMYT, OBREGON, MEXICO, 20–24 MARCH 2006 Structural equation modelling for studying genotype×environment interactions of physiological traits affecting yield in wheat

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

Mega-Environment Identification for Barley Based on Twenty-Seven Years of Global Grain Yield Data

1 reference

https://api.crossref.org/works/10.1093%2FJXB%2FERQ459

21 January 2018

Identifiers

10.1093/JXB/ERQ459

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Europe PubMed Central

PubMed publication ID

7 September 2017

release_bl2pvzqq2zfptfxd4o76cgyxeu

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https://api.fatcat.wiki/v0/release/bl2pvzqq2zfptfxd4o76cgyxeu

24 November 2022

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Europe PubMed Central

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7 September 2017

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