Decoding the genetic network of F2 population in naturally coloured cotton: variability, correlation, and path analysis
In recent past, dyeing in textile industry have attained massive growth, resulting in environmental pollution. It necessitates the need for the resurrection of research interest in naturally coloured cotton. In this view, the present study was conducted in two F2 populations derived by crossin...
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Format: | Article |
Language: | English |
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Indian Society of Plant Breeders
2023-09-01
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Series: | Electronic Journal of Plant Breeding |
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Online Access: | https://ejplantbreeding.org/index.php/EJPB/article/view/4876 |
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author | R. Nivedha1*, S. Rajeswari1 , N. Premalatha2 and T. Nivethitha1 |
author_facet | R. Nivedha1*, S. Rajeswari1 , N. Premalatha2 and T. Nivethitha1 |
author_sort | R. Nivedha1*, S. Rajeswari1 , N. Premalatha2 and T. Nivethitha1 |
collection | DOAJ |
description | In recent past, dyeing in textile industry have attained massive growth, resulting in environmental pollution. It
necessitates the need for the resurrection of research interest in naturally coloured cotton. In this view, the present
study was conducted in two F2
populations derived by crossing naturally brown coloured cotton Red 5-7 and white
linted cotton MCU 5 and its reciprocal at the Department of Cotton, Tamil Nadu Agricultural University during kharif,
2019. The phenotypic variance was higher than the genotypic variance for all traits and the magnitude of difference
between PCV and GCV for five fibre quality traits was less which pointed out less environmental influence. Heritability
and GAM were high for yield-related traits, such as the number of bolls per plant and seed cotton yield/plant, making
them suitable targets for selection. Association studies revealed that the number of bolls/plant and boll weight were
positively correlated with the seed cotton yield/plant with positive direct effect. Thus, direct selection of these traits will
assist in the yield improvement programme in coloured cotton. |
first_indexed | 2024-03-11T18:51:56Z |
format | Article |
id | doaj.art-a8b911245d654696a7d2c35192dacca5 |
institution | Directory Open Access Journal |
issn | 0975-928X |
language | English |
last_indexed | 2024-03-11T18:51:56Z |
publishDate | 2023-09-01 |
publisher | Indian Society of Plant Breeders |
record_format | Article |
series | Electronic Journal of Plant Breeding |
spelling | doaj.art-a8b911245d654696a7d2c35192dacca52023-10-11T10:12:47ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2023-09-011431238 1245https://doi.org/10.37992/2023.1403.129Decoding the genetic network of F2 population in naturally coloured cotton: variability, correlation, and path analysisR. Nivedha1*, S. Rajeswari1 , N. Premalatha2 and T. Nivethitha101 Department of Genetics and Plant Breeding, Tamil Nadu Agricultural University, Coimbatore – 641 003 2 Department of cotton, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore – 641 003 *E-Mail: nivedharakkimuthu@gmail.comIn recent past, dyeing in textile industry have attained massive growth, resulting in environmental pollution. It necessitates the need for the resurrection of research interest in naturally coloured cotton. In this view, the present study was conducted in two F2 populations derived by crossing naturally brown coloured cotton Red 5-7 and white linted cotton MCU 5 and its reciprocal at the Department of Cotton, Tamil Nadu Agricultural University during kharif, 2019. The phenotypic variance was higher than the genotypic variance for all traits and the magnitude of difference between PCV and GCV for five fibre quality traits was less which pointed out less environmental influence. Heritability and GAM were high for yield-related traits, such as the number of bolls per plant and seed cotton yield/plant, making them suitable targets for selection. Association studies revealed that the number of bolls/plant and boll weight were positively correlated with the seed cotton yield/plant with positive direct effect. Thus, direct selection of these traits will assist in the yield improvement programme in coloured cotton.https://ejplantbreeding.org/index.php/EJPB/article/view/4876colour cottonvariabilitycorrelationheritabilityf 2 population |
spellingShingle | R. Nivedha1*, S. Rajeswari1 , N. Premalatha2 and T. Nivethitha1 Decoding the genetic network of F2 population in naturally coloured cotton: variability, correlation, and path analysis Electronic Journal of Plant Breeding colour cotton variability correlation heritability f 2 population |
title | Decoding the genetic network of F2 population in naturally coloured cotton: variability, correlation, and path analysis |
title_full | Decoding the genetic network of F2 population in naturally coloured cotton: variability, correlation, and path analysis |
title_fullStr | Decoding the genetic network of F2 population in naturally coloured cotton: variability, correlation, and path analysis |
title_full_unstemmed | Decoding the genetic network of F2 population in naturally coloured cotton: variability, correlation, and path analysis |
title_short | Decoding the genetic network of F2 population in naturally coloured cotton: variability, correlation, and path analysis |
title_sort | decoding the genetic network of f2 population in naturally coloured cotton variability correlation and path analysis |
topic | colour cotton variability correlation heritability f 2 population |
url | https://ejplantbreeding.org/index.php/EJPB/article/view/4876 |
work_keys_str_mv | AT rnivedha1srajeswari1npremalatha2andtnivethitha1 decodingthegeneticnetworkoff2populationinnaturallycolouredcottonvariabilitycorrelationandpathanalysis |