scholarly article | Q13442814 |
P50 | author | Francois Tardieu | Q56679058 |
Mikhail Semenov | Q58148943 | ||
Boris Parent | Q88156933 | ||
P2093 | author name string | Pierre Martre | |
Claude Welcker | |||
Margot Leclere | |||
Sébastien Lacube | |||
P2860 | cites work | Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population. | Q53139492 |
Climate change effect on wheat phenology depends on cultivar change. | Q55129086 | ||
Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize | Q80220732 | ||
Conserved noncoding genomic sequences associated with a flowering-time quantitative trait locus in maize | Q24675282 | ||
Characterizing drought stress and trait influence on maize yield under current and future conditions. | Q30667074 | ||
Breeding for the future: what are the potential impacts of future frost and heat events on sowing and flowering time requirements for Australian bread wheat (Triticum aestivium) varieties? | Q30750266 | ||
The fingerprint of climate trends on European crop yields | Q30894712 | ||
The shifting influence of drought and heat stress for crops in northeast Australia. | Q30979116 | ||
Climate Change and Maize Yield in Iowa | Q31100698 | ||
Adapting North American wheat production to climatic challenges, 1839-2009. | Q33780849 | ||
Any trait or trait-related allele can confer drought tolerance: just design the right drought scenario. | Q34036814 | ||
Co-variation between seed dormancy, growth rate and flowering time changes with latitude in Arabidopsis thaliana | Q34743835 | ||
Adaptation of maize to temperate climates: mid-density genome-wide association genetics and diversity patterns reveal key genomic regions, with a major contribution of the Vgt2 (ZCN8) locus | Q34983492 | ||
The genetic architecture of maize flowering time. | Q34996049 | ||
The genetic architecture of leaf number and its genetic relationship to flowering time in maize | Q37337211 | ||
Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops | Q37733186 | ||
Plant Phenomics, From Sensors to Knowledge | Q38634583 | ||
Crop responses to elevated CO2 and interactions with H2O, N, and temperature | Q38797787 | ||
A study of allelic diversity underlying flowering-time adaptation in maize landraces | Q46422575 | ||
Distinct controls of leaf widening and elongation by light and evaporative demand in maize. | Q47792738 | ||
P275 | copyright license | Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International | Q24082749 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 42 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | climate change | Q125928 |
P304 | page(s) | 10642-10647 | |
P577 | publication date | 2018-10-01 | |
P1433 | published in | Proceedings of the National Academy of Sciences of the United States of America | Q1146531 |
P1476 | title | Maize yields over Europe may increase in spite of climate change, with an appropriate use of the genetic variability of flowering time | |
P478 | volume | 115 |
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Q90341155 | Using crop growth model stress covariates and AMMI decomposition to better predict genotype-by-environment interactions |
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