Variability analysis in genotypes of black pepper (Piper nigrum L.) for yield and yield related traits

Black pepper (Piper nigrum L.) is the world’s major spice crop. India faces tough competition from other black pepper-producing countries in both production volume and productivity. There is a pressing need to enhance production per unit area by developing improved varieties with superior quality attributes. Ten genotypes of black pepper developed by different centers of the All India Co-ordinated Research Project on Spices were evaluated. The relationships between dry berry yield and yield-related traits in black pepper were analyzed. Data were collected on five quantitative traits, namely spike length (cm), number of berries per spike, fresh berry yield per plant (kg), dry berry yield per plant (kg) and dry recovery (%) during 2022-23. Analysis of variance revealed highly significant differences for all characters. Highest genotypic coefficient of variation and phenotypic coefficient of variation were observed for the number of berries per spike, spike length and dry berry yield per plant. Lowest values of genotypic coefficient of variation and phenotypic co-efficient of variation were noted for dry recovery. Genotypes exhibited high heritability and genetic improvement over the mean for the number of berries per spike and spike length. This suggests that additive gene effects influence the expression of these traits. Yield of dry berries per plant showed a very strong correlation with fresh berry yield, dry recovery and the number of berries per spike, both at the phenotypic and genotypic levels. In the path analysis, yield of fresh berries, dry recovery percentage and the number of berries per spike exhibited strong positive direct and indirect effects on the yield of dry berries. Genotype PRS 161 exhibited superior performance in terms of morphological traits, yield and yield-related characteristics, followed by SV 11 among the various genotypes analyzed. High yielding genotypes identified in this study can be considered for developing new varieties and can also be utilized in future breeding programs.

Authors

Institutions

Publication Details

Journal
Plant Science Today
Published
2024-12-25
DOI
https://doi.org/10.14719/pst.4327
Primary Topic
Piperaceae Chemical and Biological Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Variability analysis in genotypes of black pepper (Piper nigrum L.) for yield and yield related traits

Paul Resmi, K. K. Divya
Plant Science Today
Piperaceae Chemical and Biological Studies
article

Variability analysis in genotypes of black pepper (Piper nigrum L.) for yield and yield related traits

Paul Resmi, K. K. Divya
article en

Abstract

Black pepper (Piper nigrum L.) is the world’s major spice crop. India faces tough competition from other black pepper-producing countries in both production volume and productivity. There is a pressing need to enhance production per unit area by developing improved varieties with superior quality attributes. Ten genotypes of black pepper developed by different centers of the All India Co-ordinated Research Project on Spices were evaluated. The relationships between dry berry yield and yield-related traits in black pepper were analyzed. Data were collected on five quantitative traits, namely spike length (cm), number of berries per spike, fresh berry yield per plant (kg), dry berry yield per plant (kg) and dry recovery (%) during 2022-23. Analysis of variance revealed highly significant differences for all characters. Highest genotypic coefficient of variation and phenotypic coefficient of variation were observed for the number of berries per spike, spike length and dry berry yield per plant. Lowest values of genotypic coefficient of variation and phenotypic co-efficient of variation were noted for dry recovery. Genotypes exhibited high heritability and genetic improvement over the mean for the number of berries per spike and spike length. This suggests that additive gene effects influence the expression of these traits. Yield of dry berries per plant showed a very strong correlation with fresh berry yield, dry recovery and the number of berries per spike, both at the phenotypic and genotypic levels. In the path analysis, yield of fresh berries, dry recovery percentage and the number of berries per spike exhibited strong positive direct and indirect effects on the yield of dry berries. Genotype PRS 161 exhibited superior performance in terms of morphological traits, yield and yield-related characteristics, followed by SV 11 among the various genotypes analyzed. High yielding genotypes identified in this study can be considered for developing new varieties and can also be utilized in future breeding programs.

Plant Science TodayVol. 11(sp3)
Kerala Agricultural University (IN)
Kerala Agricultural University
Industry, innovation and infrastructure
Openalex Percentile: Top 69%
Piperaceae Chemical and Biological Studies
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.