Genotype-specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate change

نویسندگان

چکیده

Abstract Yield is a function of environmental quality and the sensitivity with which genotypes react to that. Environmental characterized by meteorological data, soil agronomic management, whereas genotypic embodied combinations physiological traits that determine crop capture partitioning resources over time. This paper illustrates how genotype responses can be studied combination simulation statistical modelling. We environment interaction for grain yield wheat population segregating flowering time simulating it using Agricultural Production Systems sIMulator (APSIM) cropping systems model. For sites in NE Australian wheat-belt, we used information as integrated APSIM classify years according water, heat frost stress. Results highlight frequency more severe water temperature stress has largely increased recent years. Consequently, likely future varieties will need cope stressful conditions than past, making important select habits contributing water-stress adaptation. Conditional on year types, fitted response surfaces functions genotype, latitude longitude virtual multi-environment trials. Response were two-dimensional P-splines mixed-model framework predict at high spatial resolution. Predicted yields demonstrated relative performance changed location type interactions dissected. recommendations, quantification stability characterization.

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ژورنال

عنوان ژورنال: in silico plants

سال: 2021

ISSN: ['2517-5025']

DOI: https://doi.org/10.1093/insilicoplants/diab018