Robustness of high-throughput prediction of leaf ecophysiological traits using near infra-red spectroscopy and poro-fluorometry
Authors: Coindre, E., Boulord, R., Chir, L., Freitas, V., Ryckewaert, M., Laisne, T., Bouckenooghe, V., Lis, M., Cabrera-Bosquet, L., Doligez, A., Simonneau, T., Pallas, B., Coupel-Ledru, A., Segura, V.
The study evaluated high‑throughput spectroscopy and poro‑fluorometry to predict leaf morphological and ecophysiological traits in a grapevine diversity panel under well‑watered and drought conditions. Spectroscopy reliably estimated leaf mass per area and water content, while poro‑fluorometry accurately predicted net CO2 assimilation, and the derived predicted traits showed substantial broad‑sense heritability. These results demonstrate that non‑destructive, rapid phenotyping tools can support genetic analyses of drought‑related traits in grapevine.