Diversity and Selection of Cotton Germplasm Based on Morpho-Agronomic Character Performance

Cotton is a plant that produces natural fibers of high economic value. Developing a new superior variety of cotton is expected to support fiber demand in Indonesia. The purpose of this study was to determine the diversity of morpho-agronomic characters and obtain secondary characters and cotton accessions that support the development of a new superior cotton variety. The genetic material used was 266 cotton accessions from the ISFCRI germplasm collection. Primary data of the 16 quantitative morphological characters were observed and analyzed using descriptive data, correlation analysis, path analysis, scatterplot, and grouping. The fiber length character has a very low diversity with a value of 0.01, and the plant height character has the highest variance, which is 637.42. The lint percentage with a variance value of 9.37 is influenced by duplicate epistasis genes and controlled by many genes. The fiber's fineness character has a positive and very significant correlation value to the character of the lint percentage. It has fairly high direct and total effect values of 0.156 and 0.134, respectively. Four accession groups can potentially support developing a new superior variety; accession CEA N 268, CEDIX, or L21999-10-71 can be used as the parent of new superior cotton varieties.

Authors

Institutions

Publication Details

Journal
HAYATI Journal of Biosciences
Published
2024-12-18
DOI
https://doi.org/10.4308/hjb.32.2.341-355
Citations
1
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
0.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diversity and Selection of Cotton Germplasm Based on Morpho-Agronomic Character Performance

Mayasari Yamin, Sri Nur Qadri, Taufiq Hidayat Rahman Side, Sri Mulyani et al.
1 citations
HAYATI Journal of Biosciences
Research in Cotton Cultivation
0.60
article

Diversity and Selection of Cotton Germplasm Based on Morpho-Agronomic Character Performance

Mayasari Yamin, Sri Nur Qadri, Taufiq Hidayat Rahman Side, Sri Mulyani, Agung Pangestu Aji, Luthfi Ayunawati
article en
1 citations

Abstract

Cotton is a plant that produces natural fibers of high economic value. Developing a new superior variety of cotton is expected to support fiber demand in Indonesia. The purpose of this study was to determine the diversity of morpho-agronomic characters and obtain secondary characters and cotton accessions that support the development of a new superior cotton variety. The genetic material used was 266 cotton accessions from the ISFCRI germplasm collection. Primary data of the 16 quantitative morphological characters were observed and analyzed using descriptive data, correlation analysis, path analysis, scatterplot, and grouping. The fiber length character has a very low diversity with a value of 0.01, and the plant height character has the highest variance, which is 637.42. The lint percentage with a variance value of 9.37 is influenced by duplicate epistasis genes and controlled by many genes. The fiber's fineness character has a positive and very significant correlation value to the character of the lint percentage. It has fairly high direct and total effect values of 0.156 and 0.134, respectively. Four accession groups can potentially support developing a new superior variety; accession CEA N 268, CEDIX, or L21999-10-71 can be used as the parent of new superior cotton varieties.

HAYATI Journal of BiosciencesVol. 32(2)
Universitas Muhammadiyah Parepare (ID), Ministry of Agriculture (ID), National Research, Development and Innovation Office (HU), State University of Gorontalo (ID)
Openalex Percentile: Top 20%
Research in Cotton Cultivation
0.60
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.