The Prediction of Leaf Biomass Production from Faidherbia albida in Semi Arid Land, Pokot County, Kenya

Main Article Content

Yuda Odongo Owino
Peter Kipkosgei Sirmah
Joseph Hitimana

Abstract

Faidherbia albida tree is important in feeding the livestock during dry seasons when livestock feed is scarce among the people in the semi-arid regions. Despite this unique value of the tree, no models have been developed for estimating its local leaf biomass production, thus hampering its resource assessment and management planning. Hence this study was conducted to determine allometric relationships between leaf biomass production from F. albida tree and its diameter at breast height, tree height and crown diameter. Between January and March 2016, random sample of 20 trees were partially harvested in Chepareria Division. Diameter at breast height, crown diameter and total tree height were measured in the field. Sample weights of the leaves were determined then extrapolated to the whole tree production and used as a basis for developing leaf biomass models. Correlation regression analysis as provided in R-software was used to establish the relationship between F. albida leaf biomass production and the measurable tree parameters. Nine models were fitted in the study and their suitability in predicting leaf biomass established. Comparison of different models was based on: adjusted coefficient of determination (adj. R2); significance of parameter estimates when tested at the 5% probability level; homogeneity of residual variance and distribution of the residuals; Standard Error of the Estimates (SEE). Among tested models, the study suggested  with adjusted R2 = 0.82 for local use. 

Keywords:
Allometric models, Faidherbia albida, leaf biomass, production

Article Details

How to Cite
Odongo Owino, Y., Kipkosgei Sirmah, P., & Hitimana, J. (2018). The Prediction of Leaf Biomass Production from Faidherbia albida in Semi Arid Land, Pokot County, Kenya. Asian Journal of Research in Agriculture and Forestry, 1(2), 1-10. https://doi.org/10.9734/AJRAF/2018/40867
Section
Original Research Article