Assessment of Variability among Flax Type Linseed Genotypes  (Linum usitatissimum L.) of Chhattisgarh Plains

Upadhyay, S.N.; Mehta, Nandan; Tiwari, Akash

doi:10.20546/ijcmas.2019.806.316

Cited by 14 publications

(8 citation statements)

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“…Greater differences between PCV and GCV were seen for the characteristics of seed yield per plant and harvest index, which suggests the influence of the environment on phenotypic development. Any breeding material must exhibit genetic variation since it not only serves as a foundation for selection but also offers important insights into the choice of varied parents to be employed in hybrid programmes [9].…”

Section: Resultsmentioning

confidence: 99%

Understanding Genetic Variability Parameters of Greengram (Vigna radiata L. Wilczek) Germplasm for Agro-Morphological Traits

Thakur

Sharma

Pachori

et al. 2022

IJPSS

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The greengram, also known as mungbean or Vigna radiata L. Wilczek, is a significant pulse crop in India. Throughout India, it is mostly cultivated in subsistence agricultural systems. Even though it may be cultivated in three seasons across India, the average production is unbelievably low. The local germplasm has a significant genetic variation since the crop has developed in a wide variety of environmental settings. To comprehend the genetic variability and identification of distinct germplasm lines, a study was conducted on 300 green gram accessions utilising 14 quantitative traits. For pods per plant, pod clusters per plant, branches per plant, biological yield per plant, 100 seed weight, nodes per plant, harvest index, and seeds per pod, relatively high PCV and GCV were found. Additionally, an evaluation of the genetic advance (GA) and broad-sense heritability (h2) was done to select the most significant quantitative variables. Due to their high broad sense heritability (h2) and genetic advance, biological yield per plant, pods per plant, plant height, and harvest index were shown to be highly suited for mungbean breeding programmes. The breeder must typically utilise an appropriate breeding strategy to use these traits in subsequent breeding programmes.

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Section: Resultsmentioning

confidence: 99%

Understanding Genetic Variability Parameters of Greengram (Vigna radiata L. Wilczek) Germplasm for Agro-Morphological Traits

Thakur

Sharma

Pachori

et al. 2022

IJPSS

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“…Genetic diversity and multivariate analysis research are critical for successful evaluation of genotypes. Genetic variability studies provide useful information that can be used as selection criteria in breeding programs [33][34]15]. In the current study, 30 quantitative traits were assayed in 40 linseed genotypes for selecting the superior genotypes and traits.…”

Section: Discussionmentioning

confidence: 99%

“…Genetic variation and the mode of inheritance of quantitative and qualitative traits are crucial in the planning of a breeding program [12,13]. Genetic parameters such as the genotypic coefficient of variation (GCV) and the phenotypic coefficient of variation (PCV) can be used to detect the amount of heterogeneity in a germplasm sample [14,15]. The evaluation of the variability of the yield and its related traits becomes essential before planning a suitable breeding strategy for genetic improvement [14].…”

Section: Introductionmentioning

confidence: 99%

Agro-Morphological Characterization and Genetic Dissection of Linseed (Linum usitatissimum L.) Genotypes

Sarwar¹,

Haque²,

Haque³

et al. 2022

Phyton

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Linseed is a multipurpose crop and the crop needs further improvement to increase production and yield due to its high value and demand. This study aimed to assess the extent and pattern of genetic variability of forty linseed genotypes based on diverse agro-morphological and yield attributes. The field experiment was conducted following a Randomized Complete Block Design with three replications. Linseed germplasm showed a wide range of phenotypic expression, genetic variability and heritability for 30 studied traits. A low to high phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were observed. The lowest genotypic (σ 2 g) and phenotypic variances (σ 2 p) were found in capsule diameter (CD), length of calyx (LC), capsule length (CL), seed length (SL), and seed breadth (SB). High broad-sense heritability (h 2 b ) with high genetic advance as a percentage of mean (GAM) were observed in days to germination started (DGS), days to 80% emergence (DE), plant height at 28 and 40 DAS, number of flowers (NFPP), filled capsules (NFCPP) and yield per plant (YPP) indicating additive gene action exists for these characters. Hierarchical cluster analysis separated 40 genotypes into five clusters, where Clusters I to V assembled with 13, 4, 4, 5 and 14 genotypes, respectively. Considering yield and yield attributes, Cluster-IV (G3, G4, G6, G10 and G31) genotypes showed promising while, Cluster-II (G2, G16, G35, G36) and Cluster-III (G1, G33, G39 and G40) genotypes were dominant on plant morphological traits. Based on principal component analysis (PCA), few characters such as YPP, NFPP, NFCPP, days to first flowering and capsule formation, early emergence, days to branch initiation and plant heights at different growth stages revealed important and effective traits for consideration in the selection of linseed breeding programs.

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“…UDNA 1-2-5, EC 322661, BAU 610-A, LCK 9312 had high mean yield (>3.0 g/plant) can be subjected for fibre, bold seeded and high yield through simple selection based on phenotypic performance. The characters PH, TH, CPP, TSW and SYPP showed high heritability coupled with high genetic advance indicated additive type of gene action for these traits and can be exploited to produce better genotypes in linseed breeding as suggested by Kaur et al (2018) and Upadhyay et al (2019). The parameter DF and SPC showed high heritability coupled with medium genetic advance and DM showed high heritability coupled with low GA which indicated the importance of dominance and epistatic effects in the inheritance of these traits and selection for these characters would be less effective, so hybridization will be needed for their improvement.…”

Section: Naresh Kumar and Vijay Kumarmentioning

confidence: 99%

Assessment of genetic diversity in linseed germplasm using morphological traits

2021

EJPB

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The genetic diversity among 61 linseed genotypes along with 4 checks was studied in the present investigation at the Experimental Farm of Punjab Agricultural University, Regional Research Station, Gurdaspur. Results revealed that the sufficient genetic variability was observed for all the characters studied based on various genetic variability parameters. High heritability coupled with high genetic advance for plant height, technical height, capsules per plant, test seed weight and seed yield per plant indicated additive type gene action and improvement can be made through simple selection. Principal component analysis (PCA) indicated that, out of total principal components, five PCs contributed 84.68 per cent to the total variance amongst the genotypes assessed for eight agronomic traits. PC1 contributed maximum towards the variability (30.91%) followed by PC2 (15.89%) and PC3 (14.95%). Cluster analysis grouped the accessions under four major clusters which indicated a fair association of genetic diversity. Sufficient variability was observed in the genotypes based on phenotypic and genotypic variance, principal component analysis and cluster analysis which can be utilized by researchers in future linseed breeding programmes.

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Assessment of Variability among Flax Type Linseed Genotypes (Linum usitatissimum L.) of Chhattisgarh Plains

Cited by 14 publications

References 0 publications

Understanding Genetic Variability Parameters of Greengram (Vigna radiata L. Wilczek) Germplasm for Agro-Morphological Traits

Understanding Genetic Variability Parameters of Greengram (Vigna radiata L. Wilczek) Germplasm for Agro-Morphological Traits

Agro-Morphological Characterization and Genetic Dissection of Linseed (Linum usitatissimum L.) Genotypes

Assessment of genetic diversity in linseed germplasm using morphological traits

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