scholarly journals Variability and genetic diversity study based on agro-morphological traits in a diverse set of Indian mustard [Brassica juncea (L.) Czern. & Coss.] germplasm

2021 ◽  
Vol 42 (6) ◽  
pp. 1495-1504
Author(s):  
H.K. Sharma ◽  
◽  
A. Kumar ◽  
V.V. Singh ◽  
H.S. Meena ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Brassica Juncea ◽  
Seed Yield ◽  
Morphological Traits ◽  
Quantitative Traits ◽  
Oil Content ◽  
Block Design ◽  
Indian Mustard ◽  
Genetic Diversity Study ◽  
Diversity Study

Aim: The present investigation was designed to evaluate 150 diverse germplasm of Indian mustard along with five checks for seed yield and attributing traits. Methodology: A total of 150 genotypes of Indian mustard were evaluated in Augmented Block Design along with five check cultivars (Kranti, Maya, Pusa Bold, NPJ-112, RGN 73) in five blocks. Data were collected for 16 different quantitative traits on each genotype. Results: ANOVA revealed significant differences between genotypes for all traits studied. Seed yield plant-1 had significant and positive correlation with most of the yield contributing traits. For seed yield/plant, 15 accessions (DRMR-1722, BDJ-I-538, DRMR-4, JMG-113, DRMR-681, DRMR-1849, DRMR-1697, DRMR-1610, DRMR-1996, DRMR-107, DRMR-1588, DRMR-1379, DRMR-1995, IB-26, DRMR-2116) were significantly superior over best check. Interpretation: The present study was found useful for identification of diverse genotypes of Indian mustard for different yield attributing traits. The promising lines will be utilized in Indian mustard breeding for improving seed yield and oil content.

scholarly journals Evaluation and diversity analysis in Indian mustard [Brassica juncea (L.) Czern & Coss.] germplasm accessions on the basis of principal component analysis

2017 ◽  
Vol 9 (4) ◽  
pp. 2485-2490
Author(s):  
Ram Avtar ◽  
Manmohan Manmohan ◽  
Minakshi Jattan ◽  
Babita Rani ◽  
Nisha Kumari ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Total Variation ◽  
Brassica Juncea ◽  
Seed Yield ◽  
Oil Content ◽  
Indian Mustard ◽  
Principal Component ◽  
Component Analysis ◽  
Principal Factor ◽  
Germplasm Accessions

Principal component analysis was carried out with 20 morphological traits (including quantitative as well as qualitative) among 96 germplasm lines of Indian mustard [Brassica juncea (L.) Czern & Coss.]. Principal factor analysis led to the identification of eight principal components (PCs) which explained about 70.41% variability. The first principal component (PC1) explained 16.21% of the total variation. The remaining PC’s explained progressively lesser and lesser of the total variation. Varimax Rotation enabled loading of similar type of variables on a common principal factor (PF) permitting to designate them as yield factor, maturity factor and oil factor etc. Based on PF scores and cluster mean values the germplasm accessions viz., RC2, RC32 and RC51 (cluster I), RC95 and RC96 (cluster X) were found superior for seed yield/plant and yield related factors like primary and secondary branches/plant; while the accessions RC34, RC185 and RC195 (cluster III) and RC53 (cluster VIII) were found superior for oil content. These accessions may further be utilized in breeding programmes for evolving mustard varieties having high seed yield and oil content. Hierarchical cluster analysis resulted into ten clusters containing two to 26 accessions. The results of cluster and principal factor analyses were in confirmation of each other.

scholarly journals Evaluation of Genetic Diversity in Cultivated and Exotic Germplasm Sources of Faba Bean Using Important Morphological Traits

2020 ◽  
Author(s):  
Praveen Kumar ◽  
Prashant Kaushik
Keyword(s):  
Genetic Diversity ◽  
Food Security ◽  
Seed Yield ◽  
Faba Bean ◽  
Morphological Traits ◽  
Block Design ◽  
Exotic Germplasm ◽  
Randomized Block Design ◽  
Wide Range ◽  
Positive Effect

AbstractBackground and ObjectiveFaba bean is an important crop for achieving nutritional food security, but there is very limited diversity in the cultivated varieties of faba bean. Moreover, genetic diversity is vital for its use in faba bean genetic imporvement.Material and MethodsHere we determined the diversity in the sixty-four genotypes of faba bean of different agro-ecological origins. Plants were grown in randomized block design in three replications. Further, the genotypes were characterized based on the ten morphological traits.ResultsHighly significant differences were determined for all of the studied traits. Whereas, the number of cluster per plant was positively correlated with the pods per plants. Moreover, the trait number of cluster per plant determined the most substantial positive effect on seed yield.ConclusionsOverall, our results indicate a wide range of variability for further selection and improvement of faba bean ideotype.

Genetic diversity studies among chickpea (Cicer arietinum L.) genotypes under rainfed and irrigated conditions for yield attributing and traits related to mechanical harvesting

2018 ◽  
Author(s):  
B. Vishnu ◽  
V. Jayalakshmi ◽  
M. Sudha Rani
Keyword(s):  
Genetic Diversity ◽  
Block Design ◽  
High Yield ◽  
Rainfed Condition ◽  
Randomized Block Design ◽  
Days To Maturity ◽  
Diversity Studies ◽  
Genetic Diversity Study ◽  
100 Seed Weight ◽  
Diversity Study

Genetic diversity among 30 chickpea genotypes was assessed for yield attributing and traits related to mechanical harvesting during rabi 2016-17 under both rainfed and irrigated conditions as separate experiments. The genotypes were grown in randomized block design (RBD) with three replications. Genetic diversity study grouped 30 chickpea genotypes into five different clusters under both the tested environments. Days to 50 per cent flowering followed by days to maturity and 100 seed weight contributed maximum towards diversity under rainfed as well as irrigated conditions. Inter cluster average D2 values stretched between 7.42 and 20.11 under rain fed condition, while it was slightly higher and varied from 8.64 to 28 under irrigated condition. The most divergent clusters were IV and V under both the situations. The traits that are suitable for mechanical harvesting particularly, height of the first pod and plant height contributed more (8.3 per cent and 8.1 per cent respectively) towards the genetic divergence under irrigated than under rainfed condition (3 per cent and 5.5 per cent respectively). While the angle of the primary branch couldn’t show any influence on the divergence under both the tested environments. Promising genotypes with suitable traits for mechanical harvesting besides having yield advantage are‘NBeG 780’, ‘NBeG 857’, ‘NBeG 47’, ‘NBeG 863’ and ‘BG 3061’ of cluster I under rainfed and cluster II under irrigated, ‘GBM 2’ of cluster II in rainfed and cluster I in irrigated, ‘ICCL 85213’ and ‘NBeG 865’ of cluster III under rainfed, ‘DBGV 3104’ of cluster I under rainfed and ‘GL 12021’ of cluster V under both rainfed and irrigated are suggested for utilization in the crossing programs to breed varieties of chickpea for high yield with amenability to combine harvesting.

Analysis of variances and mean performance in Indian mustard (Brassica juncea L. Czern and Coss)

2019 ◽  
Vol 4 (01) ◽  
pp. 96-100
Author(s):  
Rajendra Kumar ◽  
Amit Tomar ◽  
Mahak Singh
Keyword(s):  
Plant Height ◽  
Brassica Juncea ◽  
Analysis Of Variance ◽  
Seed Yield ◽  
Oil Content ◽  
Indian Mustard ◽  
Plant Analysis ◽  
Plant Oil ◽  
Days To Flowering ◽  
Days To Maturity

The analysis of variance was carried out for nine characters for testing the significance of differences amongst the genotypes. Highly significant differences were recorded among the treatments for all the characters namely, days to flowering, Days to maturity, plant height, length of main raceme, number of siliquae per plant , number of secondary branches per plant, oil content, test weight and seed yield per plant. Analysis of variance further indicated highly significant differences among the parents except. Highly significant differences were also found among F1s for all the nine characters, parent vs. F1s revealed highly significant differences for the characters, plant height, length of main raceme per plant, number of siliquae per plant. Phenotypic coefficients of variance are found higher than genotypic coefficient of variance for both parents and F1.

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