Cocoa Root Morphology, Leaf Nutritional Status, and Bean Characteristics under Different Shade Tree Species

Cocoa is known to require shade during its growth phase. This research is a structured comparative field study to evaluate the effect of different shade tree species on cocoa root morphology, leaf nutritional status, and certain bean characteristics (100-bean dry weight and protein content). The study was conducted on cocoa plants under three species of shade plants and one control without shade, such as Albizia chinensis (sengon), Cocos nucifera (coconut), Cassia spectabilis (ramayana), and without shade. In the research field conditions, the planting ratio is that every 1 shade tree shades 1 cocoa plant sample being evaluated. The parameters observed included total root length at various soil depths, cocoa leaf nutrient content (N, P, K, Ca, Mg, B), dry weight of 100 beans, and protein content of cocoa beans. The results showed that shade tree species significantly influenced the total length of cocoa roots at certain soil depths (0–10 cm and 20–30 cm), and significantly influenced the dry weight of 100 beans and protein content. The C. spectabilis shade tree produced the highest dry weight of 100 beans and the highest protein content under the conditions of this study compared to A. chinensis and C. nucifera. Cocoa grown under C. spectabilis exhibited favorable bean and leaf nutrient characteristics under the conditions of this study. However, a full evaluation of causality requires further research using a multi-site design.

Authors

Institutions

Publication Details

Journal
Journal of Tropical Crop Science
Published
2026-11-06
DOI
https://doi.org/10.29244/jtcs.13.03.720-726
Primary Topic
Cocoa and Sweet Potato Agronomy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Cocoa Root Morphology, Leaf Nutritional Status, and Bean Characteristics under Different Shade Tree Species

Muhammad Parikesit Wisnubroto, Herlina Mega Puspitasari, Julsento HP
1 links
Journal of Tropical Crop Science
Cocoa and Sweet Potato Agronomy
article

Cocoa Root Morphology, Leaf Nutritional Status, and Bean Characteristics under Different Shade Tree Species

Muhammad Parikesit Wisnubroto, Herlina Mega Puspitasari, Julsento HP
article en

Abstract

Cocoa is known to require shade during its growth phase. This research is a structured comparative field study to evaluate the effect of different shade tree species on cocoa root morphology, leaf nutritional status, and certain bean characteristics (100-bean dry weight and protein content). The study was conducted on cocoa plants under three species of shade plants and one control without shade, such as Albizia chinensis (sengon), Cocos nucifera (coconut), Cassia spectabilis (ramayana), and without shade. In the research field conditions, the planting ratio is that every 1 shade tree shades 1 cocoa plant sample being evaluated. The parameters observed included total root length at various soil depths, cocoa leaf nutrient content (N, P, K, Ca, Mg, B), dry weight of 100 beans, and protein content of cocoa beans. The results showed that shade tree species significantly influenced the total length of cocoa roots at certain soil depths (0–10 cm and 20–30 cm), and significantly influenced the dry weight of 100 beans and protein content. The C. spectabilis shade tree produced the highest dry weight of 100 beans and the highest protein content under the conditions of this study compared to A. chinensis and C. nucifera. Cocoa grown under C. spectabilis exhibited favorable bean and leaf nutrient characteristics under the conditions of this study. However, a full evaluation of causality requires further research using a multi-site design.

Journal of Tropical Crop ScienceVol. 13(03)
Sebelas Maret University (ID), Akademi Komunitas Perkebunan Yogyakarta (ID), Andalas University (ID)
Zero hunger
Openalex Percentile: Top 12%
Cocoa and Sweet Potato Agronomy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon