Estimating peanut and soybean photosynthetic traits using leaf spectral reflectance and advance regression models

MAIN CONCLUSION: By combining hyperspectral signatures of peanut and soybean, we predicted V(cmax) and J(max) with 70 and 50% accuracy. The PLS was the model that better predicted these photosynthetic parameters. ABSTRACT: One proposed key strategy for increasing potential crop stability and yield c...

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Detalles Bibliográficos
Autores principales: Buchaillot, Ma. Luisa, Soba, David, Shu, Tianchu, Liu, Juan, Aranjuelo, Iker, Araus, José Luis, Runion, G. Brett, Prior, Stephen A., Kefauver, Shawn C., Sanz-Saez, Alvaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948130/
https://www.ncbi.nlm.nih.gov/pubmed/35325309
http://dx.doi.org/10.1007/s00425-022-03867-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948130/
https://www.ncbi.nlm.nih.gov/pubmed/35325309
http://dx.doi.org/10.1007/s00425-022-03867-6

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