Claim · model-written summary
Genetic variability of maize flowering time is sufficient to identify a cycle duration that maximizes yield across European climatic conditions.
- Material
- panel of 121 accessionse2
- Outcome
- cycle duration that maximizes yielde1
- Setting
- European climatic conditionse1
Zea maysNot reportedGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“We first showed that the genetic variability of maize flowering time is sufficient for identifying a cycle duration that maximizes yield in a range of European climatic conditions”
e2“This was observed in six field experiments with a panel of 121 accessions”
Title
Boris Parent; Margot Leclere; Sébastien Lacube; et al. Proceedings of the National Academy of Sciences 2018. doi:10.1073/pnas.1720716115
Other claims from this paper (4)
- Intervention effect Under unchanged cycle duration, simulated 2050 European grain production is stable relative to the 1975-2010 baseline.
- Intervention effect Optimizing cycle duration and sowing dates increases simulated 2050 European grain production by 4-7%.
- Association Combined climate change and farmer adaptation reduce the yield gradient between south and north of Europe.
- Observation The assumption that farmers use optimal cycle duration and sowing date is supported by comparison with historical data.