Hopp til hovedinnholdet

Publikasjoner

NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.

2024

Sammendrag

Climate change is increasingly affecting agricultural systems, impacting the productivity and digestibility of forage crops that are essential for livestock feed. Understanding how forage crops respond to temperature is crucial for optimizing growth and nutritional value. Remote sensing technologies offer promising tools for monitoring plant health and predicting forage quality. As part of the project UPSCALE, this study examines the growth and spectral response of Northern and Southern cultivars under different temperature regimes. Two red clover (ʻGandalfʼ from Norway and ʻVytisʼ from Lithuania) and two timothy (ʻNorengʼ from Norway and ʻJauniaiʼ from Lithuania) cultivars were grown at controlled temperatures of 12, 15, and 18°C. A total of 168 pots (10L, ~30 plants per pot) were maintained in climate-controlled chambers at The Climate Laboratory, UiT, Tromsø. Plant growth was monitored using the PlantEye F600, providing 3D models, biomass, height, leaf area index, and stress indices (NDVI, NPCI, PSRI). Destructive sampling was conducted at three stages: pre-flowering, post-flowering, and at the end of the experiment. Leaves were scanned using Specim FX10e (VNIR) and FX17e (SWIR) hyperspectral cameras before drying for chemical analysis. Results showed distinct growth differences among the cultivars. Clovers increased in height and biomass with rising temperatures, though ʻGandalfʼ consistently yielded less biomass. Timothy ʻJauniaiʼ followed a similar trend to the clovers, while cultivar ʻNorengʼ had optimal growth at 15°C. Spectral indices did not reveal significant contrasts; ongoing hyperspectral analysis may provide further insights. The upcoming chemical analysis will integrate with hyperspectral data to identify lignin signatures for assessing forage digestibility. These findings contribute to a deeper understanding of how forage crops respond to temperature variations, to select cultivars with optimal growth and digestibility in the face of climate change.