Applicability of agronomic traits in the determination of yield of turmeric (<em>Curcuma longa</em> L.)

Turmeric (Curcuma longa) has gained significant attention in medicine, nutrition, and biotechnology due to its pharmacological properties and potential therapeutic applications. Since it is vegetatively propagated through underground rhizomes, the genetic improvement of turmeric is very limited. Screening for superior traits is still practiced for turmeric since it has a broad, untapped natural variation. Different agronomic traits, directly and indirectly, determine rhizome yield in turmeric. The present study reveals yield-determining traits of turmeric as described by correlation coefficients and path coefficients. The yield determinants of turmeric would be useful for selecting higher yields. Turmeric rhizomes were planted in the field, and data on eleven traits of two hundred plants were recorded. The research utilized principal component analysis (PCA) and identified three main components (PC1, PC2, and PC3), which had eigenvalues of 4.157, 3.017, and 1.992, respectively, explaining 76.385% of the total cumulative variability. Plant height is a key factor in determining yield, as it indicates a strong positive correlation and has a significant direct effect on yield. The number of secondary fingers per plant was also a considerable factor as it showed a significant positive correlation and considerable direct influence on yield. The number of mother rhizomes per plant and the length of leaf petiole could still be a viable positive trait for high-yield as they show a lower direct influence on yield. Leaf blade length is not a good criterion for yield determinants. These parameters can be utilized in future breeding programs to select high-yielding genotypes.

Authors

Publication Details

Journal
Tropical Agricultural Research and Extension
Published
2025-03-28
DOI
https://doi.org/10.4038/tare.v28i1.5745
Citations
1
Primary Topic
Curcumin's Biomedical Applications
Type
article
Field-Weighted Citation Impact
0.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applicability of agronomic traits in the determination of yield of turmeric (Curcuma longa L.)

A. L. Ranawake, S. R. Amarasinghe, W. M. C. S. Jayaweera
1 citations
Tropical Agricultural Research and Extension
Curcumin's Biomedical Applications
0.59
article

Applicability of agronomic traits in the determination of yield of turmeric (Curcuma longa L.)

A. L. Ranawake, S. R. Amarasinghe, W. M. C. S. Jayaweera
article en
1 citations

Abstract

Turmeric (Curcuma longa) has gained significant attention in medicine, nutrition, and biotechnology due to its pharmacological properties and potential therapeutic applications. Since it is vegetatively propagated through underground rhizomes, the genetic improvement of turmeric is very limited. Screening for superior traits is still practiced for turmeric since it has a broad, untapped natural variation. Different agronomic traits, directly and indirectly, determine rhizome yield in turmeric. The present study reveals yield-determining traits of turmeric as described by correlation coefficients and path coefficients. The yield determinants of turmeric would be useful for selecting higher yields. Turmeric rhizomes were planted in the field, and data on eleven traits of two hundred plants were recorded. The research utilized principal component analysis (PCA) and identified three main components (PC1, PC2, and PC3), which had eigenvalues of 4.157, 3.017, and 1.992, respectively, explaining 76.385% of the total cumulative variability. Plant height is a key factor in determining yield, as it indicates a strong positive correlation and has a significant direct effect on yield. The number of secondary fingers per plant was also a considerable factor as it showed a significant positive correlation and considerable direct influence on yield. The number of mother rhizomes per plant and the length of leaf petiole could still be a viable positive trait for high-yield as they show a lower direct influence on yield. Leaf blade length is not a good criterion for yield determinants. These parameters can be utilized in future breeding programs to select high-yielding genotypes.

Tropical Agricultural Research and ExtensionVol. 28(1)
Openalex Percentile: Top 38%
Curcumin's Biomedical Applications
0.59
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.

Applicability of agronomic traits in the determination of yield of turmeric (<em>Curcuma longa</em> L.) — A. L. Ranawake, S. R. Amarasinghe, et al. · Tropical Agricultural Research and Extension (2025) | TGRS Research Map | TGRS