Modeling Leaf Area Estimation for Arabica Coffee (Coffea Arabica L.) Grown at Different Altitudes of Mana District, Jimma Zone - American Journal of Plant Sciences

AJPS > Vol.9 No.6, May 2018

Modeling Leaf Area Estimation for Arabica Coffee (Coffea Arabica L.) Grown at Different Altitudes of Mana District, Jimma Zone ()

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DOI: 10.4236/ajps.2018.96095 887 Downloads 1,929 Views Citations

Author(s)

Zerihun Misgana¹, Gerba Daba², Adugna Debela³

Affiliation(s)

¹College of Agriculture, Department of Plant Sciences, Oda Bultum University, Ciro PoBox 226, Ethiopia.
²Collage of Agriculture and Veterinary Medicine, Department of Horticulture and Plant Sciences, Jimma University, Jimma PoBox 307, Ethiopia.
³Ethiopian Horticulture and Agriculture Investment Authority, Addis Ababa, Ethiopia.

ABSTRACT

This study was aimed at establishing allometric models for estimating LA (Leaf Area) of eight Coffea arabica genotypes in Mana district of Jimma Zone Oromia Regional State, South Western Ethiopia (7°46'N, 36°0'E). Many Methodologies and instruments have been devised to facilitate measurement of leaf area. However, these methods are destructive, laborious and expensive. For modeling leaf area, leaf width, leaf length and leaf area of 1200 leaves (50 leaves for each genotype) was measured for model calibration and the respective measurements on 960 leaves were used for model validation. Linear measurement was taken from leaves and branch diameters 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. Linear and non-linear models were tested for their accuracy to predict leaf area 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. Therefore, 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 was 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. Hence, this model can be proposed to be reliably used and with this developed model, researchers can estimate the leaf area of newly released eight genotypes of C. arabica at different altitudes accurately.

KEYWORDS

Coffea arabica L., Modeling, Leaf Area Estimation

Share and Cite:

Misgana, Z. , Daba, G. and Debela, A. (2018) Modeling Leaf Area Estimation for Arabica Coffee (Coffea Arabica L.) Grown at Different Altitudes of Mana District, Jimma Zone. American Journal of Plant Sciences, 9, 1292-1307. doi: 10.4236/ajps.2018.96095.

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