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Future-proof crops: challenges and strategies for climate resilience improvement

pmid: 26874966
Breeding for stress-resilient crops strongly depends on technological and biological advancements that have provided a wealth of information on genetic variants and their contribution to stress tolerance. In the context of the upcoming challenges for agriculture due to climate change, such as prolonged and/or increased stress intensities, CO2 increase and stress combinations, hierarchizing this information is key to accelerating crop improvement towards sustained or even increased productivity. We propose traits with high scalability to yield and crop performance that can be targeted for improvement and provide examples of recent discoveries with potential applicability in breeding. Critical to success is the integrated analysis of the phenotypes of genetic variants across different environmental variables using modelling approaches and high-throughput phenotyping.
- Wageningen University & Research Netherlands
Crops, Agricultural, PBR Abiotische Stress, PBR Breeding for a-biotic Stress Tolerance, Climate Change, WUR PB Abiotische Stress, Genetic Variation, Genomics, Breeding, PE&RC, Plant Breeding, Laboratorium voor Plantenveredeling, Life Science, EPS, Laboratory of Plant Breeding
Crops, Agricultural, PBR Abiotische Stress, PBR Breeding for a-biotic Stress Tolerance, Climate Change, WUR PB Abiotische Stress, Genetic Variation, Genomics, Breeding, PE&RC, Plant Breeding, Laboratorium voor Plantenveredeling, Life Science, EPS, Laboratory of Plant Breeding
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).42 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
