Assessment of genetic variability and character association in mid-late/late cauliflower genotypes
The present investigation comprising 36 diverse cauliflower genotypes along with three checks were raised during winter season of 2021-22 to study genetic variability, association between different characters, and direct and indirect effects of component traits to formulate selection criteria for ut...
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Format: | Article |
Language: | English |
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Indian Society of Plant Breeders
2024-03-01
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Series: | Electronic Journal of Plant Breeding |
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Online Access: | https://www.ejplantbreeding.org/index.php/EJPB/article/view/4634 |
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author | Neha Rana1, Akhilesh Sharma1*, Vedna Kumari2, Hem Lata1, Manpreet Kaur1, Alisha Thakur1 |
author_facet | Neha Rana1, Akhilesh Sharma1*, Vedna Kumari2, Hem Lata1, Manpreet Kaur1, Alisha Thakur1 |
author_sort | Neha Rana1, Akhilesh Sharma1*, Vedna Kumari2, Hem Lata1, Manpreet Kaur1, Alisha Thakur1 |
collection | DOAJ |
description | The present investigation comprising 36 diverse cauliflower genotypes along with three checks were raised during winter season of 2021-22 to study genetic variability, association between different characters, and direct and indirect effects of component traits to formulate selection criteria for utilization in crop improvement programme. The analysis of variance indicated exitance of sufficient genetic variability for all morphological and yield traits taken for the study. High PCV and GCV were reported for marketable curd weight, net curd weight and stalk length. Similarly, high heritability coupled with high genetic advance was observed for gross plant weight, marketable curd weight and curd solidity which indicates that these traits can be easily improved through simple selection. Correlation and path coefficient analysis revealed that gross plant weight, net curd weight, curd size index, curd solidity, plant frame and stalk length could be considered as the best selection parameters for evolving high yielding cauliflower genotypes.
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first_indexed | 2024-04-24T13:22:46Z |
format | Article |
id | doaj.art-a010d2d7e703458583521910624ca39f |
institution | Directory Open Access Journal |
issn | 0975-928X |
language | English |
last_indexed | 2024-04-24T13:22:46Z |
publishDate | 2024-03-01 |
publisher | Indian Society of Plant Breeders |
record_format | Article |
series | Electronic Journal of Plant Breeding |
spelling | doaj.art-a010d2d7e703458583521910624ca39f2024-04-04T10:05:38ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2024-03-011517079https://doi.org/10.37992/2024.1501.008Assessment of genetic variability and character association in mid-late/late cauliflower genotypes Neha Rana1, Akhilesh Sharma1*, Vedna Kumari2, Hem Lata1, Manpreet Kaur1, Alisha Thakur101Department of Vegetable Science and Floriculture, CSK Himachal Pradesh Agricultural University, Palampur- 176062, HP, India 2Department of Genetics and Plant Breeding, CSK Himachal Pradesh Agricultural University, Palampur- 176062, HP, India *E-Mail: assharmaakhil1@gmail.comThe present investigation comprising 36 diverse cauliflower genotypes along with three checks were raised during winter season of 2021-22 to study genetic variability, association between different characters, and direct and indirect effects of component traits to formulate selection criteria for utilization in crop improvement programme. The analysis of variance indicated exitance of sufficient genetic variability for all morphological and yield traits taken for the study. High PCV and GCV were reported for marketable curd weight, net curd weight and stalk length. Similarly, high heritability coupled with high genetic advance was observed for gross plant weight, marketable curd weight and curd solidity which indicates that these traits can be easily improved through simple selection. Correlation and path coefficient analysis revealed that gross plant weight, net curd weight, curd size index, curd solidity, plant frame and stalk length could be considered as the best selection parameters for evolving high yielding cauliflower genotypes. https://www.ejplantbreeding.org/index.php/EJPB/article/view/4634cauliflowergenetic variabilityheritabilitycorrelationpath analysis |
spellingShingle | Neha Rana1, Akhilesh Sharma1*, Vedna Kumari2, Hem Lata1, Manpreet Kaur1, Alisha Thakur1 Assessment of genetic variability and character association in mid-late/late cauliflower genotypes Electronic Journal of Plant Breeding cauliflower genetic variability heritability correlation path analysis |
title | Assessment of genetic variability and character association in mid-late/late cauliflower genotypes |
title_full | Assessment of genetic variability and character association in mid-late/late cauliflower genotypes |
title_fullStr | Assessment of genetic variability and character association in mid-late/late cauliflower genotypes |
title_full_unstemmed | Assessment of genetic variability and character association in mid-late/late cauliflower genotypes |
title_short | Assessment of genetic variability and character association in mid-late/late cauliflower genotypes |
title_sort | assessment of genetic variability and character association in mid late late cauliflower genotypes |
topic | cauliflower genetic variability heritability correlation path analysis |
url | https://www.ejplantbreeding.org/index.php/EJPB/article/view/4634 |
work_keys_str_mv | AT neharana1akhileshsharma1vednakumari2hemlata1manpreetkaur1alishathakur1 assessmentofgeneticvariabilityandcharacterassociationinmidlatelatecauliflowergenotypes |