References
BAILEY-SERRES, J., PARKER, J. E., AINSWORTH, E. A., OLDROYD, G. E. D. &
SCHROEDER, J. I. 2019. Genetic strategies for improving crop yields.Nature, 575, 109-118.
BAUD, S. & LEPINIEC, L. 2010. Physiological and developmental
regulation of seed oil production. Progress in lipid research,49, 235-249.
BAUM, M., ARCHONTOULIS, S. & LICHT, M. 2019. Planting date, hybrid
maturity, and weather effects on maize yield and crop stage.Agronomy Journal, 111, 303-313.
BONAMOUR, S., CHEVIN, L. M., CHARMANTIER, A. & TEPLITSKY, C. 2019.
Phenotypic plasticity in response to climate change: the importance of
cue variation. Philos Trans R Soc Lond B Biol Sci, 374,20180178.
DES MARAIS, D. L., HERNANDEZ, K. M. & JUENGER, T. E. 2013.
Genotype-by-environment interaction and plasticity: exploring genomic
responses of plants to the abiotic environment. Annual Review of
Ecology, Evolution, and Systematics, 44, 5-29.
DORMANN, P., BALBO, I. & BENNING, C. 1999. Arabidopsis galactolipid
biosynthesis and lipid trafficking mediated by DGD1. Science,284, 2181-2184.
FU, J., JIAN, Y., WANG, X., LI, L., CIAIS, P., ZSCHEISCHLER, J., WANG,
Y., TANG, Y., MULLER, C., WEBBER, H., YANG, B., WU, Y., WANG, Q., CUI,
X., HUANG, W., LIU, Y., ZHAO, P., PIAO, S. & ZHOU, F. 2023. Extreme
rainfall reduces one-twelfth of China’s rice yield over the last two
decades. Nat Food .
GUNASEKERA, C., MARTIN, L., SIDDIQUE, K. & WALTON, G. 2006. Genotype by
environment interactions of Indian mustard (Brassica juncea L.) and
canola (B. napus L.) in Mediterranean-type environments: 1. Crop growth
and seed yield. European Journal of Agronomy, 25, 1-12.
GUO, T., MU, Q., WANG, J., VANOUS, A. E., ONOGI, A., IWATA, H., LI, X.
& YU, J. 2020. Dynamic effects of interacting genes underlying rice
flowering-time phenotypic plasticity and global adaptation. Genome
Research, 30, 673-683.
GUO, T., WEI, J., LI, X. & YU, J. 2023. Environmental context of
phenotypic plasticity in flowering time in sorghum and rice.Journal of Experimental Botany , erad398.
HAMMER, G. L., CHAPMAN, S., VAN OOSTEROM, E. & PODLICH, D. W. 2005.
Trait physiology and crop modelling as a framework to link phenotypic
complexity to underlying genetic systems. Australian Journal of
Agricultural Research, 56, 947-960.
HAMMER, G. L., VAN OOSTEROM, E., MCLEAN, G., CHAPMAN, S. C., BROAD, I.,
HARLAND, P. & MUCHOW, R. C. 2010. Adapting APSIM to model the
physiology and genetics of complex adaptive traits in field crops.J Exp Bot, 61, 2185-202.
HAN, X., TANG, Q., XU, L., GUAN, Z., TU, J., YI, B., LIU, K., YAO, X.,
LU, S. & GUO, L. 2022. Genome-wide detection of genotype environment
interactions for flowering time in Brassica napus. Frontiers in
Plant Science, 13, 1065766.
HICKEY, L. T., A, N. H., ROBINSON, H., JACKSON, S. A., LEAL-BERTIOLI, S.
C. M., TESTER, M., GAO, C., GODWIN, I. D., HAYES, B. J. & WULFF, B. B.
H. 2019. Breeding crops to feed 10 billion. Nat Biotechnol,37, 744-754.
KIM, J. H. 2019. Multicollinearity and misleading statistical results.Korean J Anesthesiol, 72, 558-569.
KUSMEC, A., SRINIVASAN, S., NETTLETON, D. & SCHNABLE, P. S. 2017.
Distinct genetic architectures for phenotype means and plasticities in
Zea mays. Nature Plants, 3, 715-723.
LESK, C., ANDERSON, W., RIGDEN, A., COAST, O., JäGERMEYR, J., MCDERMID,
S., DAVIS, K. F. & KONAR, M. 2022. Compound heat and moisture extreme
impacts on global crop yields under climate change. Nature Reviews
Earth & Environment, 3, 872-889.
LI, G., XIULI, S., LIANG, J., GAOQUAN, W., JIUWEI, X., ZELAN, W. &
TINGDONG, F. 2003. Establishment of math models of NIRS analysis for oil
and protein contents in seed ofo Brassica napus. Zhongguo Nong ye
ke xue= Zhongguo Nongye Kexue, 36, 1609-1613.
LI, M.-X., YEUNG, J. M., CHERNY, S. S. & SHAM, P. C. 2012. Evaluating
the effective numbers of independent tests and significant p-value
thresholds in commercial genotyping arrays and public imputation
reference datasets. Human genetics, 131, 747-756.
LI, X., GUO, T., BAI, G., ZHANG, Z., SEE, D., MARSHALL, J.,
GARLAND-CAMPBELL, K. A. & YU, J. 2022. Genetics-inspired data-driven
approaches explain and predict crop performance fluctuations attributed
to changing climatic conditions. Molecular Plant, 15,203-206.
LI, X., GUO, T., MU, Q., LI, X. & YU, J. 2018. Genomic and
environmental determinants and their interplay underlying phenotypic
plasticity. Proceedings of the National Academy of Sciences,115, 6679-6684.
LI, X., GUO, T., WANG, J., BEKELE, W. A., SUKUMARAN, S., VANOUS, A. E.,
MCNELLIE, J. P., TIBBS-CORTES, L. E., LOPES, M. S. & LAMKEY, K. R.
2021. An integrated framework reinstating the environmental dimension
for GWAS and genomic selection in crops. Molecular Plant,14, 874-887.
LIU, N., DU, Y., WARBURTON, M. L., XIAO, Y. & YAN, J. 2020. Phenotypic
Plasticity Contributes to Maize Adaptation and Heterosis.Molecular Biology and Evolution .
MARSHALL, B. & SQUIRE, G. 1996. Non-linearity in rate-temperature
relations of germination in oilseed rape. Journal of Experimental
Botany, 47, 1369-1375.
MILLET, E. J., KRUIJER, W., COUPEL-LEDRU, A., PRADO, S. A.,
CABRERA-BOSQUET, L., LACUBE, S., CHARCOSSET, A., WELCKER, C., VAN
EEUWIJK, F. & TARDIEU, F. 2019. Genomic prediction of maize yield
across European environmental conditions. Nature genetics,51, 952-956.
MOURTZINIS, S., SPECHT, J. E. & CONLEY, S. P. 2019. Defining optimal
soybean sowing dates across the US. Scientific Reports,9, 2800.
MU, Q., GUO, T., LI, X. & YU, J. 2022. Phenotypic plasticity in plant
height shaped by interaction between genetic loci and diurnal
temperature range. New Phytologist, 233, 1768-1779.
OSHIMA, Y., SHIKATA, M., KOYAMA, T., OHTSUBO, N., MITSUDA, N. &
OHME-TAKAGI, M. 2013. MIXTA-like transcription factors and WAX
INDUCER1/SHINE1 coordinately regulate cuticle development in Arabidopsis
and Torenia fournieri. The Plant Cell, 25, 1609-1624.
OU, S., SU, W., LIAO, Y., CHOUGULE, K., AGDA, J. R., HELLINGA, A. J.,
LUGO, C. S. B., ELLIOTT, T. A., WARE, D. & PETERSON, T. 2019.
Benchmarking transposable element annotation methods for creation of a
streamlined, comprehensive pipeline. Genome biology, 20,1-18.
PIGLIUCCI, M., MURREN, C. J. & SCHLICHTING, C. D. 2006. Phenotypic
plasticity and evolution by genetic assimilation. J Exp Biol,209, 2362-7.
PULLENS, J. W. M., SHARIF, B., TRNKA, M., BALEK, J., SEMENOV, M. A. &
OLESEN, J. E. 2019. Risk factors for European winter oilseed rape
production under climate change. Agricultural and Forest
Meteorology, 272, 30-39.
PURCELL, S., NEALE, B., TODD-BROWN, K., THOMAS, L., FERREIRA, M. A.,
BENDER, D., MALLER, J., SKLAR, P., DE BAKKER, P. I. & DALY, M. J. 2007.
PLINK: a tool set for whole-genome association and population-based
linkage analyses. The American journal of human genetics,81, 559-575.
SABIR, K., ROSE, T., WITTKOP, B., STAHL, A., SNOWDON, R. J., BALLVORA,
A., FRIEDT, W., KAGE, H., LEON, J., ORDON, F., STUTZEL, H., ZETZSCHE, H.
& CHEN, T. W. 2023. Stage-specific genotype-by-environment interactions
determine yield components in wheat. Nat Plants .
SACKS, W. J., DERYNG, D., FOLEY, J. A. & RAMANKUTTY, N. 2010. Crop
planting dates: an analysis of global patterns. Global ecology and
biogeography, 19, 607-620.
SCHERES, B. & VAN DER PUTTEN, W. H. 2017. The plant perceptron connects
environment to development. Nature, 543, 337-345.
SI, P. & WALTON, G. H. 2004. Determinants of oil concentration and seed
yield in canola and Indian mustard in the lower rainfall areas of
Western Australia. Australian Journal of Agricultural Research,55, 367-377.
SLOAT, L. L., DAVIS, S. J., GERBER, J. S., MOORE, F. C., RAY, D. K.,
WEST, P. C. & MUELLER, N. D. 2020. Climate adaptation by crop
migration. Nat Commun, 11, 1243.
TAN, H., YANG, X., ZHANG, F., ZHENG, X., QU, C., MU, J., FU, F., LI, J.,
GUAN, R., ZHANG, H., WANG, G. & ZUO, J. 2011. Enhanced seed oil
production in canola by conditional expression of Brassica napus LEAFY
COTYLEDON1 and LEC1-LIKE in developing seeds. Plant Physiol,156, 1577-88.
TAN, Z., PENG, Y., XIONG, Y., XIONG, F., ZHANG, Y., GUO, N., TU, Z.,
ZONG, Z., WU, X., YE, J., XIA, C., ZHU, T., LIU, Y., LOU, H., LIU, D.,
LU, S., YAO, X., LIU, K., SNOWDON, R. J., GOLICZ, A. A., XIE, W., GUO,
L. & ZHAO, H. 2022. Comprehensive transcriptional variability analysis
reveals gene networks regulating seed oil content of Brassica napus.Genome Biol, 23, 233.
TANG, S., ZHAO, H., LU, S., YU, L., ZHANG, G., ZHANG, Y., YANG, Q.-Y.,
ZHOU, Y., WANG, X. & MA, W. 2021. Genome-and transcriptome-wide
association studies provide insights into the genetic basis of natural
variation of seed oil content in Brassica napus. Molecular Plant,14, 470-487.
TIGCHELAAR, M., BATTISTI, D. S., NAYLOR, R. L. & RAY, D. K. 2018.
Future warming increases probability of globally synchronized maize
production shocks. Proc Natl Acad Sci U S A, 115,6644-6649.
VERNON, L. 2006. Potential impacts of climate change on
agricultural land use suitability : canola / Luke Vernon and Dennis van
Gool, [South Perth, W.A.], Dept. of Agriculture.
WANG, J. & ZHANG, Z. 2021. GAPIT version 3: boosting power and accuracy
for genomic association and prediction. Genomics, proteomics &
bioinformatics, 19, 629-640.
XIONG, W., REYNOLDS, M. P., CROSSA, J., SCHULTHESS, U., SONDER, K.,
MONTES, C., ADDIMANDO, N., SINGH, R. P., AMMAR, K., GERARD, B. & PAYNE,
T. 2021. Increased ranking change in wheat breeding under climate
change. Nat Plants, 7, 1207-1212.
XUE, B. & LEIBLER, S. 2018. Benefits of phenotypic plasticity for
population growth in varying environments. Proc Natl Acad Sci U S
A, 115, 12745-12750.
YANG, J., LEE, S. H., GODDARD, M. E. & VISSCHER, P. M. 2011. GCTA: a
tool for genome-wide complex trait analysis. The American Journal
of Human Genetics, 88, 76-82.
YU, J., PRESSOIR, G., BRIGGS, W. H., VROH BI, I., YAMASAKI, M., DOEBLEY,
J. F., MCMULLEN, M. D., GAUT, B. S., NIELSEN, D. M. & HOLLAND, J. B.
2006. A unified mixed-model method for association mapping that accounts
for multiple levels of relatedness. Nature genetics, 38,203-208.
ZHANG, Z., ERSOZ, E., LAI, C.-Q., TODHUNTER, R. J., TIWARI, H. K., GORE,
M. A., BRADBURY, P. J., YU, J., ARNETT, D. K. & ORDOVAS, J. M. 2010.
Mixed linear model approach adapted for genome-wide association studies.Nature genetics, 42, 355-360.
ZHAO, Z., WANG, E., KIRKEGAARD, J. A. & REBETZKE, G. J. 2022. Novel
wheat varieties facilitate deep sowing to beat the heat of changing
climates. Nature Climate Change, 12, 291-296.