EVALUATION OF VARIOUS COTTON GENOTYPES THROUGH GENETIC DIVERSITY ANALYSIS

Fifty-two varieties/strains of cotton were studied to explore the genetic divergence in the yield trials at Cotton Research Station, Faisalabad. The study aimed to identify strains with earliness, CLCuD tolerance, and superior yield with better fiber quality. Correlation analysis showed significant positive association of seed cotton yield (SCY) with boll number, boll weight(g), ginning out turn (GOT) and fiber length, while significant negative association with leaf curl disease and first flower appearance date was observed. Principal components analysis revealed that four out of 11 principal component showed Eigen value ˃1. The contribution of these PCs towards total variability was 76.8% with PC-1 with maximum (44.4%), followed by PC-2 (12.2%), PC-3 (10.9 %) and PC-4 (9.3%). Traits including yield, bolls number, boll weight and plant height exhibited noteworthy positive factor loading in PC-1, while cotton leaf curl virus, days to first boll opening and first flower had maximum negative loadings. The findings of cluster analysis indicated that the genotypes present in cluster V (FH-1131, FH-1133, FH-1214, FH-525, FH-453, FH-333, FH-1132, FH-1135, FH-416, FH-1134 and FH-938) have excellent combination of all desirable traits viz., earliness, fiber quality, seed cotton yield (SCY) and its contributing traits. As apparent from the results of cluster and principal components analyses, topmost genotypes based on genetic divergence data may also be tested in provincial and national yield trials because they have combination of better yield and quality parameters.

Authors

Institutions

Publication Details

Journal
Agricultural Sciences Journal
Published
2024-08-31
DOI
https://doi.org/10.56520/asj.v6i2.326
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EVALUATION OF VARIOUS COTTON GENOTYPES THROUGH GENETIC DIVERSITY ANALYSIS

Ghulam Sarwar, Yasir Ramzan, Amjad Farooq, Shoaib Liaqat et al.
Agricultural Sciences Journal
Research in Cotton Cultivation
article

EVALUATION OF VARIOUS COTTON GENOTYPES THROUGH GENETIC DIVERSITY ANALYSIS

Ghulam Sarwar, Yasir Ramzan, Amjad Farooq, Shoaib Liaqat, Jehanzeb Farooq, Muhammad Rizwan, Muhammad Amjad Ali, Bushra Jawad Kazim, Asia Batool
article en

Abstract

Fifty-two varieties/strains of cotton were studied to explore the genetic divergence in the yield trials at Cotton Research Station, Faisalabad. The study aimed to identify strains with earliness, CLCuD tolerance, and superior yield with better fiber quality. Correlation analysis showed significant positive association of seed cotton yield (SCY) with boll number, boll weight(g), ginning out turn (GOT) and fiber length, while significant negative association with leaf curl disease and first flower appearance date was observed. Principal components analysis revealed that four out of 11 principal component showed Eigen value ˃1. The contribution of these PCs towards total variability was 76.8% with PC-1 with maximum (44.4%), followed by PC-2 (12.2%), PC-3 (10.9 %) and PC-4 (9.3%). Traits including yield, bolls number, boll weight and plant height exhibited noteworthy positive factor loading in PC-1, while cotton leaf curl virus, days to first boll opening and first flower had maximum negative loadings. The findings of cluster analysis indicated that the genotypes present in cluster V (FH-1131, FH-1133, FH-1214, FH-525, FH-453, FH-333, FH-1132, FH-1135, FH-416, FH-1134 and FH-938) have excellent combination of all desirable traits viz., earliness, fiber quality, seed cotton yield (SCY) and its contributing traits. As apparent from the results of cluster and principal components analyses, topmost genotypes based on genetic divergence data may also be tested in provincial and national yield trials because they have combination of better yield and quality parameters.

Agricultural Sciences JournalVol. 6(2)
Cotton (United States) (US), Ayub Agriculture Research Institute (PK), State Forestry and Grassland Administration (CN), University of Faisalabad (PK), University of Agriculture Faisalabad (PK), Central Cotton Research Institute (PK)
Openalex Percentile: Top 91%
Research in Cotton Cultivation
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.