Non-Destructive Estimation of Leaf Size and Shape Characteristics in Advanced Progenies of Coffea arabica L. from Intraspecific and Interspecific Crossing

Non-destructive measurement of leaf size based on leaf length and/or width is a simple, economical, and precise methodology. Leaf morphometric indicators were measured on 55 coffee progenies obtained from intraspecific and interspecific crosses. The estimation of parameters in the models and the testing of hypotheses related to these were performed. The relationships between leaf width and length, the ellipticity index, and leaf size were subsequently analyzed with a partitioning algorithm. The groups were then compared using Hotelling's T<sup>2</sup> test. In coffee, the Montgomery model allowed for an adequate estimation of leaf size for each progeny, hybridization type, and grouped data. An α value of 0.67000 for the Montgomery model was consistent. This finding indicates that it is a suitable model for both individual and groups of progenies. The model based on the "principle of similarity" was found to be suitable only on a per-progeny basis. Certain characteristics, such as the leaf width-to-length ratio, ellipticity index, and leaf size, modify the parameter fit to inherent values. Similarly, leaves with a higher width-to-length ratio were the most elliptical for coffee, according to the groupings found. The estimation of coffee leaf size improves if the selected model considers whether they come from specific progenies or groups of progenies.

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Journal
Plants
Published
2025-09-26
DOI
https://doi.org/10.3390/plants14192985
Primary Topic
Leaf Properties and Growth Measurement
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article
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article

Non-Destructive Estimation of Leaf Size and Shape Characteristics in Advanced Progenies of Coffea arabica L. from Intraspecific and Interspecific Crossing

Daniel Gerardo Cayón Salinas, Carlos Andrés Unigarro, Claudia Patricia Flórez-Ramos, Aquiles Enrique Darghan
Plants
Leaf Properties and Growth Measurement
article

Non-Destructive Estimation of Leaf Size and Shape Characteristics in Advanced Progenies of Coffea arabica L. from Intraspecific and Interspecific Crossing

Daniel Gerardo Cayón Salinas, Carlos Andrés Unigarro, Claudia Patricia Flórez-Ramos, Aquiles Enrique Darghan
article en

Abstract

Non-destructive measurement of leaf size based on leaf length and/or width is a simple, economical, and precise methodology. Leaf morphometric indicators were measured on 55 coffee progenies obtained from intraspecific and interspecific crosses. The estimation of parameters in the models and the testing of hypotheses related to these were performed. The relationships between leaf width and length, the ellipticity index, and leaf size were subsequently analyzed with a partitioning algorithm. The groups were then compared using Hotelling's T<sup>2</sup> test. In coffee, the Montgomery model allowed for an adequate estimation of leaf size for each progeny, hybridization type, and grouped data. An α value of 0.67000 for the Montgomery model was consistent. This finding indicates that it is a suitable model for both individual and groups of progenies. The model based on the "principle of similarity" was found to be suitable only on a per-progeny basis. Certain characteristics, such as the leaf width-to-length ratio, ellipticity index, and leaf size, modify the parameter fit to inherent values. Similarly, leaves with a higher width-to-length ratio were the most elliptical for coffee, according to the groupings found. The estimation of coffee leaf size improves if the selected model considers whether they come from specific progenies or groups of progenies.

PlantsVol. 14(19)
Universidad Nacional de Colombia (CO), Coffee Research Institute (KE), Centro Nacional de Investigaciones de Café
Openalex Percentile: Top 81%
Leaf Properties and Growth Measurement
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Non-Destructive Estimation of Leaf Size and Shape Characteristics in Advanced Progenies of Coffea arabica L. from Intraspecific and Interspecific Crossing — Daniel Gerardo Cayón Salinas, Carlos Andrés Unigarro, et al. · Plants (2025) | TGRS Research Map | TGRS