scholarly journals Principal Component Analysis for Assessment of Genetic Diversity in Rainfed Shallow Lowland Rice (Oryza sativa L)

2020 ◽  
pp. 256-261
Author(s):  
Prince Raj ◽  
Anand Kumar ◽  
. Satyendra ◽  
S. P. Singh ◽  
Mankesh Kumar ◽  
...  
Keyword(s):  
Total Variation ◽  
Seed Weight ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Principal Component ◽  
Panicle Length ◽  
Total Carbohydrate ◽  
Total Variability ◽  
Biological Yield ◽  
Selection Of

The genetic diversity was estimated using seventy two genotypes of rice in a randomized block design with three replications at the rice research farm of Bihar Agricultural University, Sabour (Bhagalpur) during Kharif, 2019-20 to determine the contribution of fifteen quantitative traits to the total variability in rice using Principal component analysis. In the present investigation PCA was performed for fifteen quantitative traits of rice. All the 3PCs exhibited more than 1.0 Eigen value and showed about 95.00% variability. Therefore, these PCs were given due important for the further explanation. The PC1 showed 77.28 per cent variation of total variation followed by second to third components which accounted 15.65 and 2.05 per cent of total variation presented among the genotypes, respectively. PC1 contributed 77.28% of the total variation and correlated with total carbohydrate, generation of H2O2, days to 50% flowering, biological yield, number of fertile grains per panicle, panicle length and flag leaf area while PC2 explained an additional 15.65% of the total variation and dominated by total carbohydrate, days to 50% flowering, harvest index, biological yield, total number of spikelet’s and plant height. PC III accounted 2.05 per cent of the total variability and correlated with the traits like days to 50% flowering, biological yield, total number of spikelet’s, 1000-seed weight, plant height, harvest index, generation of H2O2 and panicle length had maximum positive contribution Since, a total of 95.00% of the total variation was contributed by PC1 and PC2, therefore, these two principal components can be allowed for simultaneous selection of yield contributing traits in desi chickpea. Genotype usually found in more PC, were CR3933-13-2-1-4-1-2-1, TTB1011-14-171-2-2-1-2-1, TTB1032-45-937-2-3-3-1-1, (Santepheap3/IR49830-7/RajendraMahsuri)-1-3-1, (BR11/IR8041OB)-2-1-1, (RajendraMhasuri/CN1039)-4-2-1, TTB1011-14-243-1-2-2-2-1, TTB1032-45-937-2-3-3-1-1, CR4138-3-1-1, CR4139-9-2-1, CR4139-9-2- and CR4128-9-1-1. Genotypes fall in a common principal component were observed to be the most important factor for seed yield. These genotypes may further be utilized in breeding programmes for improving seed yield and these genotypes can be considered an ideotype breeding material for selection of traits viz. more total number of seed per plant and 100-seed weight further utilization in precise breeding programme.

scholarly journals Principal Component Analysis in Desi Chickpea (Cicer arietinum L.) under Normal Sown Condition of Bihar

2020 ◽  
pp. 75-80
Author(s):  
Kumari Rajani ◽  
Anand Kumar ◽  
Ravi Ranjan Kumar ◽  
Sadia Perween ◽  
Sanjay Kumar ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Total Variation ◽  
Seed Yield ◽  
Seed Weight ◽  
Principal Component ◽  
Cicer Arietinum L ◽  
The World ◽  
Days To Maturity ◽  
100 Seed Weight ◽  
Selection Of

Chickpea (Cicer arietinum L.) is the second most important food legume crop after common bean (Phaseolus vulgaris L.). It is one of the most important rabi pulse crop in India and contributes to 20% of the total pulse production in the world. India ranks first in chickpea production in the world followed by Australia, Myanmar and Pakistan. It is one of the major pulse crops in Bihar. The present investigation was undertaken using forty genotypes of desi chickpea sown in a randomized block design with three replications at the Pulse research model Bhitti farm of Bihar Agricultural University, Sabour (Bhagalpur) during Rabi, 2016-17 to determine the contribution of six morphological traits to the total variability in desi chickpea using Principal component analysis. In the present investigation PCA was performed for six quantitative traits of chickpea. Out of six, only 2PCs exhibited more than 1.0 Eigen value and showed about 79.86% variability. Therefore, these 2 PCs were given due important for the further explanation. The PC1 showed 28.96% variability among traits, while PC II, PC III and PC IV exhibited 21.93%, 16.35% and 13.87% variability respectively.PC1 contributed 28.96% of the total variation and correlated with days to 50% flowering, days to maturity and 100-seed weight while PC2 explained an additional 21.93% of the total variation and dominated by plant height, grain yield per plot, days to maturity, days to 50% flowering and number of pods per plant. Since, a total of 50.91% of the total variation was contributed by PC1 and PC2, therefore, these two principal components can be allowed for simultaneous selection of yield contributing traits in desi chickpea. Genotype commonly found in more PC, were KWR108, JG2016-44, Sabour chana-1, IPC 2013-21, HI12-63, AKG1303, PG214J and RKG13-380. Similar type of genotypes on a common principal component permitting to designate them as seed yield factors. These genotypes may further be utilized in breeding programmes for improving seed yield and these genotypes can be considered an ideotype breeding material for selection of traits viz. more total number of seed per plant and 100-seed weight further utilization in precise breeding programme.

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 

scholarly journals Multivariate analysis of quantitative traits can effectively classify rapeseed germplasm

Genetika ◽  
2014 ◽  
Vol 46 (2) ◽  
pp. 545-559 ◽  
Author(s):  
Mirjana Jankulovska ◽  
Sonja Ivanovska ◽  
Ana Marjanovic-Jeromela ◽  
Snjezana Bolaric ◽  
Ljupcho Jankuloski ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Vegetative Growth ◽  
Quantitative Traits ◽  
Principal Component ◽  
Breeding Program ◽  
Oil Yield ◽  
Growth Duration ◽  
Data Set ◽  
Combined Application ◽  
Selection Of

In this study, the use of different multivariate approaches to classify rapeseed genotypes based on quantitative traits has been presented. Tree regression analysis, PCA analysis and two-way cluster analysis were applied in order todescribe and understand the extent of genetic variability in spring rapeseed genotype by trait data. The traits which highly influenced seed and oil yield in rapeseed were successfully identified by the tree regression analysis. Principal predictor for both response variables was number of pods per plant (NP). NP and 1000 seed weight could help in the selection of high yielding genotypes. High values for both traits and oil content could lead to high oil yielding genotypes. These traits may serve as indirect selection criteria and can lead to improvement of seed and oil yield in rapeseed. Quantitative traits that explained most of the variability in the studied germplasm were classified using principal component analysis. In this data set, five PCs were identified, out of which the first three PCs explained 63% of the total variance. It helped in facilitating the choice of variables based on which the genotypes? clustering could be performed. The two-way cluster analysissimultaneously clustered genotypes and quantitative traits. The final number of clusters was determined using bootstrapping technique. This approach provided clear overview on the variability of the analyzed genotypes. The genotypes that have similar performance regarding the traits included in this study can be easily detected on the heatmap. Genotypes grouped in the clusters 1 and 8 had high values for seed and oil yield, and relatively short vegetative growth duration period and those in cluster 9, combined moderate to low values for vegetative growth duration and moderate to high seed and oil yield. These genotypes should be further exploited and implemented in the rapeseed breeding program. The combined application of these multivariate methods can assist in deciding how, and based on which traits to select the genotypes, especially in early generations, at the beginning of a breeding program.

Association among genetic parameters in Indian mustard (Brassica juncea L. Czern and Coss.)

2018 ◽  
Vol 3 (01) ◽  
pp. 11-15
Author(s):  
Vipin Kumar Malik ◽  
Shiv Kumar Singh ◽  
Vijay Kumar ◽  
Norang Pal Singh ◽  
Ankit Malik ◽  
...  
Keyword(s):  
Brassica Juncea ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Indian Mustard ◽  
Flowering Plant ◽  
Genetic Advance ◽  
Gene Effects ◽  
Plant Seed ◽  
Biological Yield

The considerable amount of genetic variability on the basis of GCV and PCV estimates for the traits; days to 50% flowering, numbers of primary and secondary branches per plant, length of siliqua, 1000-seed weight, seed yield per plant, biological yield per plant and harvest index were found in thirty five genotypes of Indian mustard (Brassica juncea L. Czern and Coss). Heritability and genetic advance were higher for days to 50% flowering, plant height and biological yield per plant. Although, number of secondary branches per plant, seed yield per plant and harvest index had moderately high heritability with moderate genetic advance indicating additive gene effects and selection pressure could be applied on them for yield improvement leads to fast genetic improvement of the materials. Days to 75% maturity, length of siliqua, 1000-seed weight and oil content had low heritability indicating that these traits were under the influence of environmental factors and selection on the basis of these traits could not be effective.

Genetic variability, principal component and cluster analyses in black gram under Foot-hills conditions of Manipur

2018 ◽  
Author(s):  
M. Samuel Jeberson ◽  
K. S. Shashidhar ◽  
Amit Kumar Singh
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Quantitative Traits ◽  
Principal Component ◽  
Yield Attributes ◽  
Eigen Values ◽  
Correlation And Path Analysis ◽  
And Cluster Analysis ◽  
100 Seed Weight ◽  
Selection Of

Analysis of genetic variability, heritability, correlation, path analysis, principal component and cluster analysis was carried for 25 blackgram genotypes grown in the foothills of Manipur. The results showed that phenotypic coefficients of variability recorded were higher than the genotypic coefficients of variability, irrespective of traits, demonstrating the effect of environment thereon. The present study revealed that the heritability (bs) estimates were maximum (>50%) for the traits such as days taken to attain the 50% flowering, number of clusters/plant, number of pods/plant and 100 seed weight. The correlation and path analysis proved the selection of the yield attributes in blackgram based on the characters, viz., number of pods/plant and number of cluster/plants. The first three principal components, having the Eigen values more than 1, contributed 84.52% towards variability among the 25 genotypes screened for quantitative traits. Based on the average linkage, 25 genotypes were grouped into five (5) clusters.

Genetic divergence analysis in chickpea germplasm

2018 ◽  
Author(s):  
Renuka Shivwanshi ◽  
Anita Babbar
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Mean Values ◽  
Cluster Distance ◽  
Biological Yield ◽  
Per Se ◽  
Total Divergence ◽  
100 Seed Weight

A total of 434 germplasm lines of chickpea were assessed for 13 quantitative traits during rabi 2015-16 at JNKVV, Jabalpur. Genotypes were grouped into fourteen clusters. Clusters II and cluster XIV and cluster XII and cluster XIV, had maximum inter cluster distance. The characters viz.,effective pods per plant followed by biological yield per plant, plant height and 100-seed weight were main contribution to total divergence. Cluster XIV and cluster XIII had highest mean values for maximum number of characters. Based on the result IC 83812, EC 198729, EC 490027, IC 53245, IC 83827and IC 83889 are recommended for hybridization, as these genotypes showed good per se performance for seed yield and belong to the highly diverse clusters.

Evaluation of genetic variability, heritability and genetic advance in blackgram [Vigna mungo (L.) Hepper]

2018 ◽  
Author(s):  
Shilpa Chauhan ◽  
Raj Kumar Mittal ◽  
A. Lohar ◽  
Vinod Kumar Sood ◽  
Ranjana Patial
Keyword(s):  
Experimental Study ◽  
Seed Yield ◽  
Harvest Index ◽  
Block Design ◽  
Genetic Advance ◽  
Biological Yield ◽  
High Heritability ◽  
Superior Genotypes ◽  
Transgressive Segregants ◽  
Selection Of

An attempt was made to study blackgram germplasm with an objective to develop genetically diverse genotypes accompanied with high heritable components of yield contributing traits. The experimental material comprised of 21 blackgram genotypes, was examined during kharif 2015 and 2016. Experimental study conducted during kharif 2015, was mainly relied on selection of transgressive segregants, which were further analyzed in Compact Family Block Design during kharif 2016. The results depicted that families and progenies within families were significantly different for majority of the traits and found to be highly variable for biological yield, harvest index and seed yield. High heritability coupled with high genetic advance were recorded for plant height (74.15%, 33.12%), branches per plant (84.34%, 40.55%), biological yield (83.51%, 69.11%) and seed yield (84.50%, 66.11%). Thus, the present findings could be beneficial to develop superior genotypes through selection in blackgram breeding program.

scholarly journals Heterosis in Local Boro Rice (Oryza sativa L.)

1970 ◽  
Vol 23 (1) ◽  
pp. 19-30
Author(s):  
MM Islam ◽  
U Sarker ◽  
MG Rasul ◽  
MM Rahman
Keyword(s):  
Grain Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Leaf Blade ◽  
Flag Leaf ◽  
Leaf Sheath ◽  
Panicle Length ◽  
Blade Length ◽  
Days To Maturity ◽  
Standard Heterosis

An experiment was conducted to study the heterosis of 27 F1 hybrids produced from nine CMS lines and three restorer lines of rice with their parental lines and BRRI Dhan29 as standard check for 17 yield and its contributing traits. Mid parent, better parent and standard heterosis of most of the crosses were significant for most of the characters studied either in positive or in negative direction. Desirable and significant mid parent and better parent heterosis was observed in 13 and seven cross combinations, respectively for grain yield and most of its related traits. Considering more than 20% mid parent and better parent heterosis for grain yield along with most of its related traits, nine and five cross combinations, respectively were identified as good heterotic combinations over mid parental and better parental value. On the basis of individual trait significant and desirable mid parent heterosis was observed in eight cross combinations for plant height, 12 for leaf blade length, nine for flag leaf blade length, 13 for flag leaf sheath length, eight for tillers per hill, eight for panicles per hill, 14 for days to 50% flowering, four for days to maturity, four for panicle length, 14 for panicle weight, nine for primary branches per panicle, 16 for secondary branches per panicle, six for filled grains per panicle, 15 for 1000 seed weight, 13 for grain yield per hill and 15 for harvest index. Significant and desirable better parent heterosis was observed in 12 cross combinations for plant height, 11 for leaf blade length, 5 for flag leaf blade length, nine for flag leaf sheath length, seven for tillers per hill, seven for panicles per hill, 25 for days to 50% flowering, one for days to 100% flowering, seven for days to maturity, three for panicle length, nine for panicle weight, five for primary branches per panicle, 12 for secondary branches per panicle, four for filled grains per panicle, nine for 1000 seed weight, seven for grain yield per hill and nine for harvest index. None of the crosses were identified as good heterotic over standard check for grain yield per hill but many good and desirable heterotic crosses were identified over standard check for most of the yield related characters. Twenty cross combinations were identified as heterotic over standard check due to desirable and significant standard heterosis for most of the yield related traits.   Keywords: Heterosis; rice; Oryza sativa; boro DOI: http://dx.doi.org/10.3329/bjpbg.v23i1.9314 BJPBG 2010; 23(1): 19-30

scholarly journals Role of beneficial microbes with nitrogen and phosphorous levels on canola productivity

2022 ◽  
Vol 82 ◽  
Author(s):  
Hazratullah ◽  
A. Muhammad ◽  
M. Alam ◽  
I. Ahmad ◽  
A. Jalal
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Control Treatment ◽  
Nitrogen And Phosphorus ◽  
Plant Seed ◽  
Seed Filling ◽  
Beneficial Microbes ◽  
Biological Yield ◽  
The Impact

Abstract A research was conducted to evaluate the impact of various nitrogen and phosphorus levels along with beneficial microbes to enhance canola productivity. The research was carried out at Agronomy Research Farm, The University of Agriculture Peshawar in winter 2016-2017. The experiment was conducted in randomized complete block factorial design. The study was comprised of three factors including nitrogen (60, 120 and 180 kg ha-1), phosphorous (70, 100 and 130 kg ha-1) and beneficial microbes (with and without BM). A control treatment with no N, P and BM was also kept for comparison. Application of beneficial microbes significantly increased pods plant, seed pod, seed filling duration, 1000 seed weight, biological yield and seed yield as compared to control plots. Nitrogen applied at the rate of 180 kg ha-1 increased pods plant-1, seed pod, seed filling duration, seed weight, biological yield and seed yield. Maximum pods plant-1, seed pod, early seed filling, heavier seed weight, biological yield, seed yield, and harvest index were observed in plots treated with 130 kg.ha-1 phosphorous. As comparison, the combine treated plots have more pods plant-1, seeds pod-1, seed filling duration, heaviest seeds, biological yield, seed yield and harvest index as compared to control plots. It is concluded that application of beneficial microbes with N and P at the rate of 180 kg ha-1 and 130 kg ha-1, respectively, increased yield and its attributes for canola.

scholarly journals Assessment of genetic variability, correlation and path association in rice (oryza sativa l.)

1970 ◽  
Vol 18 ◽  
pp. 1-8
Author(s):  
SK Yadav ◽  
BG Suresh ◽  
Praveen Pandey ◽  
Binod Kumar
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Test Weight ◽  
Index Number ◽  
Panicle Length ◽  
Spikelets Per Panicle ◽  
Biological Yield

Context: Direct selection based on crop yields is often a paradox in breeding programmes because yield is a complex polygenically inherited character, influenced by its component traits.   Objectives: The present research work was taken up to assess genetic variability, phenotypic and genotypic associations between various components of grain yield to provide basis for selection and yield improvement in rice.   Materials and Methods: Correlation coefficient and path association are used to find out the degree (strength) and direction of relationship between two or more variable and for fixing up the characters which are having decisive role in influencing the yield. Therefore, a field experiment was carried out to establish the extent of association between yield and yield components and others characters in rice. Analysis of variance revealed that significant amount of genetic variability was present in the entire characters studied.   Results: High heritability coupled with high to moderate genetic advance as % of mean was observed on plant height seed yield per plant, biological yield, harvest index, test weight and number of spikelets per panicle suggesting preponderance of additive gene action in the expression of these characters. The correlation coefficient between seed yield per plant and other quantitative attributing to yield showed that grain yield was significantly and positively associated with harvest index, number of tillers per hill, number of panicle per plant, panicle length, number of spikelet's per panicle and test weight at both genotypic and phenotypic levels. Path coefficient at genotypic level revealed that harvest index, biological yield, number of tillers per hill, panicle length, number of spikelets per panicle, plant height and test weight had direct positive effect on seed yield per hill, indicating these are the main contributors to yield.Conclusion: From the correlation and path study it may be concluded that harvest index, number of tillers per hill, panicle length, and number of spikelet per panicle and test weight are the most important characters that contributed directly to seed yield per hill. Thus a genotype with higher magnitude of these traits could be either selected from existing genotypes or evolved by breeding program for genetic improvement of yield in rice.   Key words: Rice; variability; heritability; agro-morphological traits; correlation; pathDOI: http://dx.doi.org/10.3329/jbs.v18i0.8767 JBS 2010; 18(0): 1-8

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