Genetic variability, Correlation and Path coefficient analysis for yield and yield components in lentil (Lens culinaris M.) genotypes

Genetic diversity is essential for genetic improvement of any crops. The common problems in Bangladesh are the low yield of lentil probably due to the lack of genetic variability. Therefore, an experiment was carried out to evaluate twenty lentil genotypes for eleven yield and yield contributing cha...

Full description

Bibliographic Details
Main Authors: Md. Mahmuduzzaman Chowdhury, Md. Ashraful Haque, Mohammad Abdul Malek, Md. Rasel, Kamal Uddin Ahamed
Format: Article
Language:English
Published: Farm to Fork Foundation 2019-06-01
Series:Fundamental and Applied Agriculture
Subjects:
Online Access:http://www.ejmanager.com/fulltextpdf.php?mno=21740
_version_ 1819146303901270016
author Md. Mahmuduzzaman Chowdhury
Md. Ashraful Haque
Mohammad Abdul Malek
Md. Rasel
Kamal Uddin Ahamed
author_facet Md. Mahmuduzzaman Chowdhury
Md. Ashraful Haque
Mohammad Abdul Malek
Md. Rasel
Kamal Uddin Ahamed
author_sort Md. Mahmuduzzaman Chowdhury
collection DOAJ
description Genetic diversity is essential for genetic improvement of any crops. The common problems in Bangladesh are the low yield of lentil probably due to the lack of genetic variability. Therefore, an experiment was carried out to evaluate twenty lentil genotypes for eleven yield and yield contributing characters by studying genetic diversity. Genotypic variance (σ2g), phenotypic variance (σ2p), phenotypic co-variance (PCV), genotypic co-variance (GCV), heritability, genetic advance, genetic advance as a percentage of mean, correlation coefficient and path coefficient were estimated. A significant genetic variation was observed for all the traits viz., days to first flowering, days to 50% flowering, days to maturity, plant height, number of primary branches plantˉ1, pods peduncleˉ1, pods plantˉ1, seeds plantˉ1, seeds podˉ1, 100-seed weight and seed yield plantˉ1. Significant differences of PCV were higher than GCV for all the traits indicated that the traits are less influenced by the environment. The highest estimates of GCV and PCV were observed for seed yield plantˉ1 (23.80% and 24.03%, respectively) followed by number of pods peduncleˉ1 (16.91% and 19.80%, respectively) and number of seeds plantˉ1 (19.48% and 19.63% respectively). All the studied traits expressed high heritability ranging from 64.89% to 98.46% and the maximum was recorded for seed plant-1 (98.46%) followed by pod plant-1 (998.35%) and seed yield plant-1 (98.10%). High heritability along with high genetic advance was noticed for number of pods plantˉ1 (98.35% and 50.63, respectively) and number of seeds plantˉ1 (98.46% and 96.01, respectively) and high heritability coupled with high genetic advance as per cent of mean was observed for number of number of seeds plantˉ1 (no.) (98.46%, 39.80%) followed by number of pods plantˉ1 (no.) (98.35%, 33.03%) and seed yield plantˉ1 (g) (98.10%, 48.56%) reflected the accumulation of additive gene which could be used for the improvement of lentil through selection. The study of associations among the different traits revealed that seed yield plantˉ1 was significantly and positively correlated with number of primary branches plantˉ1, pods plantˉ1 and seeds plantˉ1 and 100-seed weight. Path analysis also reported that number of pods plantˉ1 and seeds podˉ1 and 100-seed weight was related to the seed yield mostly through the direct positive effect. Therefore, number of primary branches plantˉ1 and pod plantˉ1, and 100-seed weight should get the major importance for lentil yield improvement as those traits had positive and significant correlation as well as direct positive effect with seed yield plantˉ1. The information of wide genetic diversity among the genotypes for all the traits could be used in future systematic lentil breeding programs for the improvement of seed yield. [Fundam Appl Agric 2019; 4(2.000): 769-776]
first_indexed 2024-12-22T13:11:47Z
format Article
id doaj.art-e14bfb5be09f49a4abd98d91bc3df48a
institution Directory Open Access Journal
issn 2518-2021
language English
last_indexed 2024-12-22T13:11:47Z
publishDate 2019-06-01
publisher Farm to Fork Foundation
record_format Article
series Fundamental and Applied Agriculture
spelling doaj.art-e14bfb5be09f49a4abd98d91bc3df48a2022-12-21T18:24:44ZengFarm to Fork FoundationFundamental and Applied Agriculture2518-20212019-06-014276977610.5455/faa.2174021740Genetic variability, Correlation and Path coefficient analysis for yield and yield components in lentil (Lens culinaris M.) genotypesMd. Mahmuduzzaman Chowdhury0Md. Ashraful Haque1Mohammad Abdul Malek2Md. Rasel3Kamal Uddin Ahamed4Department of Genetics and Plant Breeding, Faculty of Agriculture, Bangladesh Agricultural University, Mymensingh, BangladeshDepartment of Genetics and Plant Breeding, Faculty of Agriculture, Bangladesh Agricultural University, Mymensingh, BangladeshPlant Breeding Division, Bangladesh Institute of Nuclear Agriculture, Mymensing, BangladeshDepartment of Genetics and Plant Breeding, Faculty of Agriculture, Bangladesh Agricultural University, Mymensingh, BangladeshPlant Genetic Resources Centre, Regional Agricultural Research Station, Ishurdi, Pabna, BangladeshGenetic diversity is essential for genetic improvement of any crops. The common problems in Bangladesh are the low yield of lentil probably due to the lack of genetic variability. Therefore, an experiment was carried out to evaluate twenty lentil genotypes for eleven yield and yield contributing characters by studying genetic diversity. Genotypic variance (σ2g), phenotypic variance (σ2p), phenotypic co-variance (PCV), genotypic co-variance (GCV), heritability, genetic advance, genetic advance as a percentage of mean, correlation coefficient and path coefficient were estimated. A significant genetic variation was observed for all the traits viz., days to first flowering, days to 50% flowering, days to maturity, plant height, number of primary branches plantˉ1, pods peduncleˉ1, pods plantˉ1, seeds plantˉ1, seeds podˉ1, 100-seed weight and seed yield plantˉ1. Significant differences of PCV were higher than GCV for all the traits indicated that the traits are less influenced by the environment. The highest estimates of GCV and PCV were observed for seed yield plantˉ1 (23.80% and 24.03%, respectively) followed by number of pods peduncleˉ1 (16.91% and 19.80%, respectively) and number of seeds plantˉ1 (19.48% and 19.63% respectively). All the studied traits expressed high heritability ranging from 64.89% to 98.46% and the maximum was recorded for seed plant-1 (98.46%) followed by pod plant-1 (998.35%) and seed yield plant-1 (98.10%). High heritability along with high genetic advance was noticed for number of pods plantˉ1 (98.35% and 50.63, respectively) and number of seeds plantˉ1 (98.46% and 96.01, respectively) and high heritability coupled with high genetic advance as per cent of mean was observed for number of number of seeds plantˉ1 (no.) (98.46%, 39.80%) followed by number of pods plantˉ1 (no.) (98.35%, 33.03%) and seed yield plantˉ1 (g) (98.10%, 48.56%) reflected the accumulation of additive gene which could be used for the improvement of lentil through selection. The study of associations among the different traits revealed that seed yield plantˉ1 was significantly and positively correlated with number of primary branches plantˉ1, pods plantˉ1 and seeds plantˉ1 and 100-seed weight. Path analysis also reported that number of pods plantˉ1 and seeds podˉ1 and 100-seed weight was related to the seed yield mostly through the direct positive effect. Therefore, number of primary branches plantˉ1 and pod plantˉ1, and 100-seed weight should get the major importance for lentil yield improvement as those traits had positive and significant correlation as well as direct positive effect with seed yield plantˉ1. The information of wide genetic diversity among the genotypes for all the traits could be used in future systematic lentil breeding programs for the improvement of seed yield. [Fundam Appl Agric 2019; 4(2.000): 769-776]http://www.ejmanager.com/fulltextpdf.php?mno=21740LentilLandracesGenetic variabilityCorrelationPath analysis
spellingShingle Md. Mahmuduzzaman Chowdhury
Md. Ashraful Haque
Mohammad Abdul Malek
Md. Rasel
Kamal Uddin Ahamed
Genetic variability, Correlation and Path coefficient analysis for yield and yield components in lentil (Lens culinaris M.) genotypes
Fundamental and Applied Agriculture
Lentil
Landraces
Genetic variability
Correlation
Path analysis
title Genetic variability, Correlation and Path coefficient analysis for yield and yield components in lentil (Lens culinaris M.) genotypes
title_full Genetic variability, Correlation and Path coefficient analysis for yield and yield components in lentil (Lens culinaris M.) genotypes
title_fullStr Genetic variability, Correlation and Path coefficient analysis for yield and yield components in lentil (Lens culinaris M.) genotypes
title_full_unstemmed Genetic variability, Correlation and Path coefficient analysis for yield and yield components in lentil (Lens culinaris M.) genotypes
title_short Genetic variability, Correlation and Path coefficient analysis for yield and yield components in lentil (Lens culinaris M.) genotypes
title_sort genetic variability correlation and path coefficient analysis for yield and yield components in lentil lens culinaris m genotypes
topic Lentil
Landraces
Genetic variability
Correlation
Path analysis
url http://www.ejmanager.com/fulltextpdf.php?mno=21740
work_keys_str_mv AT mdmahmuduzzamanchowdhury geneticvariabilitycorrelationandpathcoefficientanalysisforyieldandyieldcomponentsinlentillensculinarismgenotypes
AT mdashrafulhaque geneticvariabilitycorrelationandpathcoefficientanalysisforyieldandyieldcomponentsinlentillensculinarismgenotypes
AT mohammadabdulmalek geneticvariabilitycorrelationandpathcoefficientanalysisforyieldandyieldcomponentsinlentillensculinarismgenotypes
AT mdrasel geneticvariabilitycorrelationandpathcoefficientanalysisforyieldandyieldcomponentsinlentillensculinarismgenotypes
AT kamaluddinahamed geneticvariabilitycorrelationandpathcoefficientanalysisforyieldandyieldcomponentsinlentillensculinarismgenotypes