Estimation of Nature and Magnitude of Correlation among Different Traits in Chickpea (Cicer arietinum L.)

The present investigation aimed to study correlations among different traits in chickpea, specifically indicated that the traits —days to 50% blooming, days to maturity, harvest index (%), plant height (cm), number of primary branches per plant, number of pods per plant, number of seeds per pod, 100-seedweight (g), and seed output per plant. Compared to the matching phenotypic correlation coefficient, the estimations of genotypic correlation were greater. It could be the consequence of the environment's altering influence on the genotypic level of character association. Harvest index, number of seeds per pod, number of major branches per plant, number of pods per plant, biomass per plant, and 100-seed weight at the genotypic level all showed a statistically positive connection with the seed output per plant. At the phenotypic level, the following variables demonstrated a positive and significant correlation with seed yield per plant: harvest index, number of seeds per pod, number of major branches per plant, number of pods per plant, and 100-seed weight. These correlations showed that enhancing the aforementioned traits can increase seed output.

Authors

Institutions

Publication Details

Journal
Journal of Experimental Agriculture International
Published
2024-11-11
DOI
https://doi.org/10.9734/jeai/2024/v46i113037
Primary Topic
Genetic and Environmental Crop Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of Nature and Magnitude of Correlation among Different Traits in Chickpea (Cicer arietinum L.)

Santosh Pandey, Mousmi Syed, Rakesh Yadav, Shelly Praveen et al.
Journal of Experimental Agriculture International
Genetic and Environmental Crop Studies
article

Estimation of Nature and Magnitude of Correlation among Different Traits in Chickpea (Cicer arietinum L.)

Santosh Pandey, Mousmi Syed, Rakesh Yadav, Shelly Praveen, himanshu ., Yogendra Singh Yadav, Mahaveer Prasad Yadav
article en

Abstract

The present investigation aimed to study correlations among different traits in chickpea, specifically indicated that the traits —days to 50% blooming, days to maturity, harvest index (%), plant height (cm), number of primary branches per plant, number of pods per plant, number of seeds per pod, 100-seedweight (g), and seed output per plant. Compared to the matching phenotypic correlation coefficient, the estimations of genotypic correlation were greater. It could be the consequence of the environment's altering influence on the genotypic level of character association. Harvest index, number of seeds per pod, number of major branches per plant, number of pods per plant, biomass per plant, and 100-seed weight at the genotypic level all showed a statistically positive connection with the seed output per plant. At the phenotypic level, the following variables demonstrated a positive and significant correlation with seed yield per plant: harvest index, number of seeds per pod, number of major branches per plant, number of pods per plant, and 100-seed weight. These correlations showed that enhancing the aforementioned traits can increase seed output.

Journal of Experimental Agriculture InternationalVol. 46(11)
Bundelkhand University (IN)
Openalex Percentile: Top 89%
Genetic and Environmental Crop 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.

Estimation of Nature and Magnitude of Correlation among Different Traits in Chickpea (Cicer arietinum L.) — Santosh Pandey, Mousmi Syed, et al. · Journal of Experimental Agriculture International (2024) | TGRS Research Map | TGRS