Your browser doesn't support javascript.
loading
Agroecological genetics of biomass allocation in wheat uncovers genotype interactions with canopy shade and plant size.
Golan, Guy; Weiner, Jacob; Zhao, Yusheng; Schnurbusch, Thorsten.
Afiliación
  • Golan G; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466, Seeland, Germany.
  • Weiner J; Department of Plant and Environmental Sciences, University of Copenhagen, DK-1871, Frederiksberg, Denmark.
  • Zhao Y; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466, Seeland, Germany.
  • Schnurbusch T; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466, Seeland, Germany.
New Phytol ; 242(1): 107-120, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38326944
ABSTRACT
How plants distribute biomass among organs influences resource acquisition, reproduction and plant-plant interactions, and is essential in understanding plant ecology, evolution, and yield production in agriculture. However, the genetic mechanisms regulating allocation responses to the environment are largely unknown. We studied recombinant lines of wheat (Triticum spp.) grown as single plants under sunlight and simulated canopy shade to investigate genotype-by-environment interactions in biomass allocation to the leaves, stems, spikes, and grains. Size-corrected mass fractions and allometric slopes were employed to dissect allocation responses to light limitation and plant size. Size adjustments revealed light-responsive alleles associated with adaptation to the crop environment. Combined with an allometric approach, we demonstrated that polymorphism in the DELLA protein is associated with the response to shade and size. While a gibberellin-sensitive allelic effect on stem allocation was amplified when plants were shaded, size-dependent effects of this allele drive allocation to reproduction, suggesting that the ontogenetic trajectory of the plant affects the consequences of shade responses for allocation. Our approach provides a basis for exploring the genetic determinants underlying investment strategies in the face of different resource constraints and will be useful in predicting social behaviours of individuals in a crop community.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Plantas / Triticum Límite: Humans Idioma: En Revista: New Phytol Asunto de la revista: BOTANICA Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Plantas / Triticum Límite: Humans Idioma: En Revista: New Phytol Asunto de la revista: BOTANICA Año: 2024 Tipo del documento: Article País de afiliación: Alemania