Allometric models for estimating leaf biomass of sisal in a semi-arid environment in Kenya

Allometric models for estimating leaf biomass of sisal in a semi-arid environment in Kenya

Biomass is a key variable for crop monitoring and for assessing carbon stocks and bioenergy potential. This study aimed to develop an allometric model for predicting the dry leaf biomass of sisal, an agave plant with crassulacean acid metabolism grown for fibre production in the tropics and subtropi...

Full description

Bibliographic Details
Main Authors: Heiskanen, J. (Author), Maghenda, M. (Author), Muukkonen, P. (Author), Mwangala, L. (Author), Pellikka, P.K.E (Author), Vuorinne, I. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2021
Subjects:
abundance estimation
Agave
Allometric models
allometry
Anaerobic digestion
Arid regions
Bioenergy
Bio-energy
Biomass
CAM
Carbon
Carbon stocks
crassulacean acid metabolism
Crassulacean acid metabolism
Crop monitoring
estimation method
Kenya
Key variables
leaf area
Leaf biomass
Magnesium
Matthiola
Mean square error
metabolism
Metabolism
Plants (botany)
Productivity
rainfall
Regression analysis
Semi-arid environments
semiarid region
Semi-arid region
Tropics
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items