Javascript must be enabled to continue!
EVALUATION OF GENETIC VARIABILITY FOR DIFFERENT FIBER AND YIELD RELATED COMPONENTS IN COTTON (GOSSYPIUM HIRSUTUM L.)
View through CrossRef
Cotton (Gossypium hirsutum.) is a vital commodity, and fiber and cash crop grown as an important part of cropping systems around the globe. However, Pakistan's production has not been according to its potential for many years. Its production and yield have decreased in Pakistan due to the loss of genetic diversity and lack of empirical research. Therefore, the current research was performed to evaluate the genetic diversity for sixteen yield components among 19 local and one exotic cotton (Gossypium hirsutum L.) genotypes. The experiment was conducted at the experimental site of the Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad. The experiment was performed under the Randomized complete block design (RCBD) with two replications. Analysis of variance revealed significant differences among all traits for available genotypes. The mean value for seed cotton yield ranged from 106.8 to 35.5 g. Genotype ZB-18026 displayed the maximum mean value, whereas genotype ZB-18032 showed the minimum mean value for this particular trait. High heritability coupled with high genetic advance was calculated for most traits. Lint mass per seed showed the highest heritability value (99.99%). Lint mass per boll showed the lowest value of heritability coupled with genetic advance. The phenotypic coefficient of variance (PCV) was higher than most traits' corresponding genotypic coefficient of variance (GCV). Boll weight manifested the highest PCV (68.7088%) and GCV (61.0473%). While traits, such as seed index and fiber strength, showed low values of GCV and PCV. The information related to the genetic variability of genotypes for various traits can be utilized as a basis for further genetic evaluations for future breeding programs.
Title: EVALUATION OF GENETIC VARIABILITY FOR DIFFERENT FIBER AND YIELD RELATED COMPONENTS IN COTTON (GOSSYPIUM HIRSUTUM L.)
Description:
Cotton (Gossypium hirsutum.
) is a vital commodity, and fiber and cash crop grown as an important part of cropping systems around the globe.
However, Pakistan's production has not been according to its potential for many years.
Its production and yield have decreased in Pakistan due to the loss of genetic diversity and lack of empirical research.
Therefore, the current research was performed to evaluate the genetic diversity for sixteen yield components among 19 local and one exotic cotton (Gossypium hirsutum L.
) genotypes.
The experiment was conducted at the experimental site of the Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad.
The experiment was performed under the Randomized complete block design (RCBD) with two replications.
Analysis of variance revealed significant differences among all traits for available genotypes.
The mean value for seed cotton yield ranged from 106.
8 to 35.
5 g.
Genotype ZB-18026 displayed the maximum mean value, whereas genotype ZB-18032 showed the minimum mean value for this particular trait.
High heritability coupled with high genetic advance was calculated for most traits.
Lint mass per seed showed the highest heritability value (99.
99%).
Lint mass per boll showed the lowest value of heritability coupled with genetic advance.
The phenotypic coefficient of variance (PCV) was higher than most traits' corresponding genotypic coefficient of variance (GCV).
Boll weight manifested the highest PCV (68.
7088%) and GCV (61.
0473%).
While traits, such as seed index and fiber strength, showed low values of GCV and PCV.
The information related to the genetic variability of genotypes for various traits can be utilized as a basis for further genetic evaluations for future breeding programs.
Related Results
Production of New Cotton Interspecific Hybrids with Enhanced Fiber Fineness
Production of New Cotton Interspecific Hybrids with Enhanced Fiber Fineness
<p>To improve cotton fiber fineness, the (<em>Gossypium hirsutum</em> L. × <em>Gossypium longicalyx </em>Hutch. & Lee)² allohexaploid and the ...
Functional analysis of GhCHS, GhANR and GhLAR in colored fiber formation of Gossypium hirsutum L.
Functional analysis of GhCHS, GhANR and GhLAR in colored fiber formation of Gossypium hirsutum L.
Abstract
Background
The formation of natural colored fibers mainly results from the accumulation of different anthocyanidins and their derivatives in the fibers of Gossypiu...
Functional analysis of GhCHS, GhANR and GhLAR in colored fiber formation of Gossypium hirsutum L.
Functional analysis of GhCHS, GhANR and GhLAR in colored fiber formation of Gossypium hirsutum L.
Abstract
Background
The formation of natural colored fibers mainly results from the accumulation of different anthocyanidins and their derivatives in the fibers of Gossypiu...
Functional analysis of GhCHS, GhANR and GhLAR in colored fiber formation of Gossypium hirsutum L.
Functional analysis of GhCHS, GhANR and GhLAR in colored fiber formation of Gossypium hirsutum L.
Abstract
Background
The formation of natural colored fibers mainly results from the accumulation of different anthocyanidins and their derivatives in the fibers of Gossypiu...
Phytochemical, Proximate, Mineral Analysis and Antioxidant Activity of the leaves of Gossypium hirsutum
Phytochemical, Proximate, Mineral Analysis and Antioxidant Activity of the leaves of Gossypium hirsutum
The leaves of Gossypium hirsutum were analyzed for phytochemical, proximate, mineral compositions, and antioxidant activity. The free radical scavenging activity using DPPH procedu...
Evaluation of Morphometric and Physiological Divergence Present in Cultivated Cotton Germplasm
Evaluation of Morphometric and Physiological Divergence Present in Cultivated Cotton Germplasm
Cotton (Gossypium hirsutum L.) is a major fiber crop of Pakistan; however, its productivity has declined in recent years due to climatic stress, pest pressure, and limited genetic ...
Cotton prediction from weather parameters of different city of Pakistan using machine learning technique
Cotton prediction from weather parameters of different city of Pakistan using machine learning technique
Abstract
This study seeks a distinctive and efficient machine learning system for the prediction of Cotton Production using weather parameters and climate change impact on ...
Zinc nutrition optimization for better cotton productivity on alkaline calcareous soil
Zinc nutrition optimization for better cotton productivity on alkaline calcareous soil
Abstract
Background
Zinc (Zn), being the most deficient micronutrient, can largely limit plant growth and development on alkaline calcareous soil...

