Agro-Morphological Traits, Proximate Composition, and Phenotypic Plasticity of Coffea arabica in Contrasting and Very Close Environments in Northern Peru

Coffee is one of Peru’s most important agricultural commodities, and its productivity is highly influenced by environmental variability. This study aimed to evaluate agro-morphological traits, proximate bean composition, and the phenotypic plasticity index (PPI) of Coffea arabica (Catimor variety) cultivated in three neighboring provinces of Piura: Ayabaca, Huancabamba, and Morropón. Unlike previous studies that broadly compare distant regions, this research focuses on geographically close yet climatically contrasting environments, providing new insight into how microclimatic and edaphic variability shape both morphological and chemical traits. A total of 300 plants were sampled, and 12 morphological descriptors were recorded alongside proximate composition analyses of moisture, crude protein, fiber, ash, fat, and carbohydrates. Multivariate approaches, including cluster analysis, multiple correspondence analysis, and Pearson correlations, were applied to determine groupings and trait associations. Results indicated that 12 morphological variables consistently reflected species-specific descriptors, forming two statistical groups, with Morropón showing the greatest homogeneity. Significant differences (p ≤ 0.05) were observed in the proximate composition of most variables, except for crude fiber and carbohydrates. Morropón beans showed the highest fat and moisture values, while Huancabamba had elevated protein and ash levels. Morphological traits exhibited higher plasticity (PPI = 0.70) compared with proximate traits (PPI = 0.21). These findings reveal that even within short spatial distances, coffee plants exhibit marked phenotypic differentiation driven by local environmental factors, offering a novel, fine-scale perspective on trait variability relevant to breeding and adaptation studies under changing climatic conditions.

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Journal
Agronomy
Published
2025-10-23
DOI
https://doi.org/10.3390/agronomy15112465
Citations
2
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
2.79
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article

Agro-Morphological Traits, Proximate Composition, and Phenotypic Plasticity of Coffea arabica in Contrasting and Very Close Environments in Northern Peru

Roberto Carlos Mori Zabarburú, Segundo G. Chávez, Ligia García, Grobert A. Guadalupe et al.
2 citations
Agronomy
Coffee research and impacts
2.79
article

Agro-Morphological Traits, Proximate Composition, and Phenotypic Plasticity of Coffea arabica in Contrasting and Very Close Environments in Northern Peru

Roberto Carlos Mori Zabarburú, Segundo G. Chávez, Ligia García, Grobert A. Guadalupe, Carlos Bolaños‐Carriel, Jaris Veneros, Heyton Garcia
article en
2 citations

Abstract

Coffee is one of Peru’s most important agricultural commodities, and its productivity is highly influenced by environmental variability. This study aimed to evaluate agro-morphological traits, proximate bean composition, and the phenotypic plasticity index (PPI) of Coffea arabica (Catimor variety) cultivated in three neighboring provinces of Piura: Ayabaca, Huancabamba, and Morropón. Unlike previous studies that broadly compare distant regions, this research focuses on geographically close yet climatically contrasting environments, providing new insight into how microclimatic and edaphic variability shape both morphological and chemical traits. A total of 300 plants were sampled, and 12 morphological descriptors were recorded alongside proximate composition analyses of moisture, crude protein, fiber, ash, fat, and carbohydrates. Multivariate approaches, including cluster analysis, multiple correspondence analysis, and Pearson correlations, were applied to determine groupings and trait associations. Results indicated that 12 morphological variables consistently reflected species-specific descriptors, forming two statistical groups, with Morropón showing the greatest homogeneity. Significant differences (p ≤ 0.05) were observed in the proximate composition of most variables, except for crude fiber and carbohydrates. Morropón beans showed the highest fat and moisture values, while Huancabamba had elevated protein and ash levels. Morphological traits exhibited higher plasticity (PPI = 0.70) compared with proximate traits (PPI = 0.21). These findings reveal that even within short spatial distances, coffee plants exhibit marked phenotypic differentiation driven by local environmental factors, offering a novel, fine-scale perspective on trait variability relevant to breeding and adaptation studies under changing climatic conditions.

AgronomyVol. 15(11)
Central University of Ecuador (EC), National University Toribio Rodríguez de Mendoza (PE)
Openalex Percentile: Top 9%
Coffee research and impacts
2.79
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