2021
DOI: 10.1038/s41477-021-00988-w
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Increased ranking change in wheat breeding under climate change

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Cited by 54 publications
(42 citation statements)
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“…In large parts of the world, local economies and food security are dependent on agriculture which is very sensitive to climate variations [1,2]. Both shifts in the mean climate as well as changes in the variability can considerably affect agricultural production [3].…”
Section: Introductionmentioning
confidence: 99%
“…In large parts of the world, local economies and food security are dependent on agriculture which is very sensitive to climate variations [1,2]. Both shifts in the mean climate as well as changes in the variability can considerably affect agricultural production [3].…”
Section: Introductionmentioning
confidence: 99%
“…The new technologies of genome editing, shown to work well in wheat ( Gao, 2021 ; Li et al, 2021 ), offer the promise of inducing new targeted genetic variation in wheat in the near future. The mapping of important QTLs in a broad germplasm, rich datasets of genomes and transcriptome sequencing, future data on proteomics and metabolomics, computational tools including Artificial Intelligence, together with speed-breeding ( Watson et al, 2018 ), will enable breeding wheat more efficiently, including locally adapted varieties, to face the challenges of climate change ( Xiong et al, 2021 ). In summary, we can expect that breeding will accelerate to create new varieties that will contain new genetic variants, either induced or from wild wheat relatives.…”
Section: The Future Of Wheat Evolutionmentioning
confidence: 99%
“…These three markers can be deployed into marker-assisted breeding or introgression pipeline programmes to incorporate heat resilience traits into elite cultivars. The fact that no yield penalty was identified under more favourable conditions adds value to their deployment, especially given the negative impact that has been documented in terms of yield stability under increasing temperatures using extensive international data (53). The donor lines for these markers will be selected using our introgression mapping approach to introduce minimal linkage drag alongside the traits of interest.…”
Section: Implications For Breeding For Climate Changementioning
confidence: 99%