Correlation and path coefficient analysis in bread wheat (Triticum aestivum L.)

The present investigation was carried out to assess the relationships among grain yield and its contributing traits in 48 diverse genotypes of bread wheat (Triticum aestivum L.). The genotypes were evaluated under a randomized block design with two replications at the farm of Wheat and Maize research Unit, Parbhani (Maharashtra) during Rabi season 2023-24. Observations were recorded on ten quantitative traits including days to 50% heading, days to maturity, plant height, number of tillers per plant, spike length, number of grains per spike, 1000 grain weight, biological yield per plant, harvest index, and grain yield per plant. Genotypic and phenotypic correlation analyses revealed highly significant positive associations of grain yield with traits such as number of tillers per plant, number of grains per spike, 1000 grain weight, harvest index, and spike length. Path coefficient analysis further established that biological yield and harvest index exerted the highest direct positive effects on grain yield, followed by number of grains per spike and 1000 grain weight. The results emphasized the importance of these traits in influencing yield directly and indirectly. Therefore, these traits should be prioritized in selection strategies aimed at enhancing wheat productivity through yield component improvement.

Authors

Publication Details

Journal
International Journal of Agriculture and Food Science
Published
2025-01-01
DOI
https://doi.org/10.33545/2664844x.2025.v7.i7f.541
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correlation and path coefficient analysis in bread wheat (Triticum aestivum L.)

Archana Rajput, AM Misal, AH Rathod, A. S. Jadhav et al.
International Journal of Agriculture and Food Science
Genetics and Plant Breeding
article

Correlation and path coefficient analysis in bread wheat (Triticum aestivum L.)

Archana Rajput, AM Misal, AH Rathod, A. S. Jadhav, SA Shinde
article en

Abstract

The present investigation was carried out to assess the relationships among grain yield and its contributing traits in 48 diverse genotypes of bread wheat (Triticum aestivum L.). The genotypes were evaluated under a randomized block design with two replications at the farm of Wheat and Maize research Unit, Parbhani (Maharashtra) during Rabi season 2023-24. Observations were recorded on ten quantitative traits including days to 50% heading, days to maturity, plant height, number of tillers per plant, spike length, number of grains per spike, 1000 grain weight, biological yield per plant, harvest index, and grain yield per plant. Genotypic and phenotypic correlation analyses revealed highly significant positive associations of grain yield with traits such as number of tillers per plant, number of grains per spike, 1000 grain weight, harvest index, and spike length. Path coefficient analysis further established that biological yield and harvest index exerted the highest direct positive effects on grain yield, followed by number of grains per spike and 1000 grain weight. The results emphasized the importance of these traits in influencing yield directly and indirectly. Therefore, these traits should be prioritized in selection strategies aimed at enhancing wheat productivity through yield component improvement.

International Journal of Agriculture and Food ScienceVol. 7(7)
Zero hunger
Openalex Percentile: Top 87%
Genetics and Plant Breeding
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.