(Q37454653)

English

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

scientific article published on 28 September 2009

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scholarly article

1 reference

Europe PubMed Central

20 August 2017

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

1 reference

Europe PubMed Central

20 August 2017

1 reference

based on heuristic

inferred from title

quantitative trait locus

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inferred from title

1 reference

based on heuristic

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object named as

Claude Welcker

5

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object named as

Karine Chenu

1

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Scott C Chapman

object named as

Scott C Chapman

2

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Graeme L Hammer

object named as

Graeme L Hammer

6

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author name string

François Tardieu

3

1 reference

Europe PubMed Central

20 August 2017

Greg McLean

4

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Europe PubMed Central

20 August 2017

language of work or name

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publication date

28 September 2009

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Europe PubMed Central

20 August 2017

number of pages

17

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inferred from page(s)

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Europe PubMed Central

20 August 2017

183

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Europe PubMed Central

20 August 2017

4

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Europe PubMed Central

20 August 2017

1507-1523

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Europe PubMed Central

20 August 2017

Modeling QTL for complex traits: detection and context for plant breeding.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

23 August 2017

A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

23 August 2017

Models for navigating biological complexity in breeding improved crop plants

1 reference

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

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

23 August 2017

Grain yields with limited water

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

23 August 2017

On systems thinking, systems biology, and the in silico plant

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

23 August 2017

Combining quantitative trait Loci analysis and an ecophysiological model to analyze the genetic variability of the responses of maize leaf growth to temperature and water deficit.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

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Functional mapping of quantitative trait loci underlying the character process: a theoretical framework.

1 reference

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23 August 2017

Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

23 August 2017

Identification of quantitative trait loci under drought conditions in tropical maize. 1. Flowering parameters and the anthesis-silking interval

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

6 September 2017

Drought-induced changes in anthesis-silking interval are related to silk expansion: a spatio-temporal growth analysis in maize plants subjected to soil water deficit

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

6 September 2017

Are source and sink strengths genetically linked in maize plants subjected to water deficit? A QTL study of the responses of leaf growth and of Anthesis-Silking Interval to water deficit.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

14 September 2017

Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

14 September 2017

Leaf growth rate per unit thermal time follows QTL-dependent daily patterns in hundreds of maize lines under naturally fluctuating conditions

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

26 June 2018

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

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

26 June 2018

QTL methodology for response curves on the basis of non-linear mixed models, with an illustration to senescence in potato.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

2 September 2018

PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

2 September 2018

Model analysis of flowering phenology in recombinant inbred lines of barley.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

2 September 2018

Virtual plants: modelling as a tool for the genomics of tolerance to water deficit.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

2 September 2018

QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

2 October 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

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2 October 2018

Control of Leaf Expansion Rate of Droughted Maize Plants under Fluctuating Evaporative Demand (A Superposition of Hydraulic and Chemical Messages?)

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2787435

2 October 2018

Role of crop physiology in predicting gene-to-phenotype relationships

1 reference

https://pubmed.ncbi.nlm.nih.gov/19786622

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Coupling estimated effects of QTLs for physiological traits to a crop growth model: predicting yield variation among recombinant inbred lines in barley

1 reference

https://pubmed.ncbi.nlm.nih.gov/19786622

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize

1 reference

https://pubmed.ncbi.nlm.nih.gov/19786622

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Simulations of virtual plants reveal a role for SERRATE in the response of leaf development to light in Arabidopsis thaliana

1 reference

https://pubmed.ncbi.nlm.nih.gov/19786622

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Identifiers

10.1534/GENETICS.109.105429

1 reference

Europe PubMed Central

20 August 2017

1 reference

Europe PubMed Central

20 August 2017

1 reference

Europe PubMed Central

20 August 2017

ResearchGate publication ID

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