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Modelling Leaf Area and Branch Biomass Estimation for Arabica Coffee (Coffea arabica L.) Grown at Different Altitudes of Mana District, Jimma Zone

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dc.contributor.author Zerihun Misgana
dc.date.accessioned 2020-11-27T13:25:02Z
dc.date.available 2020-11-27T13:25:02Z
dc.date.issued 2017
dc.identifier.uri http://10.140.5.162//handle/123456789/446
dc.description.abstract This study was aimed at establishing allometric models for estimating LA (Leaf Area) and branch biomass of eight Coffea arabica genotypes in Mana district of Jimma Zone Oromia Regional State, South Western Ethiopia. Many Methodologies and instruments have been devised to facilitate measurement of leaf area and branch biomass. However, these methods are destructive, laborious and expensive. For modeling leaf area; leaf width, leaf length and leaf area of 1,200 leaves (50 leaves for each genotype) was measured for model construction and the respective measurements on 960 leaves were used for model validation. For modeling branch biomass branch diameter of 960 branches (40 branches for each genotype) were measured for model construction and the respective measurements on 360 branches were used for model validation. Linear measurement was taken from leaves and branch diameter of eight genotypes of C. arabica, cultivated in field following a randomized complete blocks design at three altitudes (high, medium and low) were evaluated to identify best option for input in the models, and to validate the method to estimate the leaf area and branch biomass. Linear and non-linear models were tested for their accuracy to predict both leaf area and branch biomass of the eight C. arabica genotypes. The use of linear model resulted in high accuracy for all of the eight C. arabica genotypes. No significant effect of growing altitude and genotype was obtained among the slopes of the models for leaf area estimation but there was a significant effect of genotype on the models for branch biomass estimation. For leaf area estimation one single model was fitted to the combined data of all genotypes at all altitudes (LA = 0.6434LW). Comparison between observed and predicted leaf area were made using this model in another independent dataset, conducted for model validation, exhibited a high degree of correlation (r= 0.98–0.99 P < 0.01).)The over or under estimation of the leaf area using this model ranges between 0.02 to 1.7% and this model is adequate to estimate the leaf area for the eight C. arabica genotypes. In the contrary genotype specific models were developed for each genotype for branch biomass estimation and one general model (BM=62.059x-2.0532) was developed for all genotypes. Comparison between observed and predicted branch biomass were made using genotype specific and general models in another dataset, conducted for model validation, exhibited a high degree of correlation (r= 0.83–0.96, P < 0.01).General models over or under estimates branch biomass with more than 13 % and less than 38% in three of the coffee genotypes but the over or under estimation of the genotype specific model is between 0.3 to 7.8%. Hence genotype specific models can satisfactorily estimate the Branch biomass of the eight C. arabica genotypes at different altitudes en_US
dc.language.iso en en_US
dc.subject Coffea arabica L. en_US
dc.subject Modeling en_US
dc.subject Leaf Area Estimation en_US
dc.subject Branch Mass Estimation en_US
dc.title Modelling Leaf Area and Branch Biomass Estimation for Arabica Coffee (Coffea arabica L.) Grown at Different Altitudes of Mana District, Jimma Zone en_US
dc.type Thesis en_US


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