scholarly journals Genetic Variability, Character Association, and Path Analysis for Economic Traits in Menthofuran Rich Half-Sib Seed Progeny ofMentha piperitaL.

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Birendra Kumar ◽  
Himanshi Mali ◽  
Ekta Gupta
Keyword(s):  
Coefficient Of Variation ◽  
Genetic Parameters ◽  
Mentha Piperita ◽  
Genotypic Correlation ◽  
Genetic Advance ◽  
Economic Traits ◽  
Seed Progeny ◽  
Positive Effect ◽  
Positive Significant Correlation ◽  
Genotypic Coefficient Of Variation

Menthofuran rich eight half-sib seed progeny ofMentha piperita(MPS-36) were studied for various genetic parameters, namely, coefficient of variation, heritability, genetic advance, correlation, and path of various plant and oil attributes, namely, plant height, L : S ratio, herb yield,β-myrcene, limonene, 1,8-cineole, menthone, menthofuran, neomenthone, pulegone, and menthol. Maximum genotypic coefficient of variation and genetic advance as percentage of mean were recorded for pulegone, followed by menthofuran and 1,8-cineole. The genotypic correlation in general was higher than phenotypic; positive significant correlation was recorded for limonene with 1,8-cineole and menthone,β-myrcene with limonene, and 1,8-cineole and menthofuran with neomenthol. A high direct positive effect on menthofuran was of neomenthol.

scholarly journals ANALYSIS OF GENETIC PARAMETERS FOR BEAN PHYSICAL QUALITY CHARACTERS AND CLUSTERIZATIONS OF ELEVEN GENOTYPES OF ROBUSTA COFFEE (Coffea canephora)

2013 ◽  
Vol 14 (2) ◽  
pp. 55
Author(s):  
Rubiyo Rubiyo ◽  
Edi Wardiana
Keyword(s):  
Coefficient Of Variation ◽  
Genetic Parameters ◽  
Block Design ◽  
Coffea Canephora ◽  
Direct Selection ◽  
Genetic Advance ◽  
Physical Quality ◽  
Robusta Coffee ◽  
Randomized Complete Block Design ◽  
Genotypic Coefficient Of Variation

The genetic parameters of coffee related to their bean physical quality characters are important for breeder to improve the  bean quality. Eleven genotypes of robusta coffee were identified and their genetic relationship to the bean physical quality were characterized. The research was conducted at coffee plantation of the Association of Indonesian Coffee Exporters in West Lampung, altitude of 800 m above sea level, Latosol type of soil, and A type of climate, starting from 2010 to 2012. The objectives of this study were to estimate the genotypic coefficient of variation, heritability and genetic advance of the bean physical quality characters, and clusterization analysis of eleven genotypes of robusta coffee. A randomized complete block design with eleven treatments of coffee genotypes and three replications was used in this study. The results showed that the estimated values of genotypic coefficient of variation, heritability and genetic advance for small-size normal bean characters of robusta coffee were very high, so the genetic improvement for these characters has a high probability of success by direct selection. Clusterization of the genotypes resulted three clusters with their respective characteristics. The study implies that future breeding program especially for hybridization should be conducted between genotypes arising from different clusters to obtain the possible high heterosis effects.<br /><br />

scholarly journals ANALYSIS OF GENETIC PARAMETERS FOR BEAN PHYSICAL QUALITY CHARACTERS AND CLUSTERIZATIONS OF ELEVEN GENOTYPES OF ROBUSTA COFFEE (Coffea canephora)

2013 ◽  
Vol 14 (2) ◽  
pp. 55
Author(s):  
Rubiyo Rubiyo ◽  
Edi Wardiana
Keyword(s):  
Coefficient Of Variation ◽  
Genetic Parameters ◽  
Block Design ◽  
Coffea Canephora ◽  
Direct Selection ◽  
Genetic Advance ◽  
Physical Quality ◽  
Robusta Coffee ◽  
Randomized Complete Block Design ◽  
Genotypic Coefficient Of Variation

The genetic parameters of coffee related to their bean physical quality characters are important for breeder to improve the  bean quality. Eleven genotypes of robusta coffee were identified and their genetic relationship to the bean physical quality were characterized. The research was conducted at coffee plantation of the Association of Indonesian Coffee Exporters in West Lampung, altitude of 800 m above sea level, Latosol type of soil, and A type of climate, starting from 2010 to 2012. The objectives of this study were to estimate the genotypic coefficient of variation, heritability and genetic advance of the bean physical quality characters, and clusterization analysis of eleven genotypes of robusta coffee. A randomized complete block design with eleven treatments of coffee genotypes and three replications was used in this study. The results showed that the estimated values of genotypic coefficient of variation, heritability and genetic advance for small-size normal bean characters of robusta coffee were very high, so the genetic improvement for these characters has a high probability of success by direct selection. Clusterization of the genotypes resulted three clusters with their respective characteristics. The study implies that future breeding program especially for hybridization should be conducted between genotypes arising from different clusters to obtain the possible high heterosis effects.<br /><br />

scholarly journals Genetic variability studies for yield and its contributing traits in okra [Abelmoschus esculentus (L.) Moench]

2016 ◽  
Vol 8 (3) ◽  
pp. 1634-1637
Author(s):  
Pravin Kumar Sharma ◽  
D. P. Mishra ◽  
Amit Pandey
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Fruit Weight ◽  
Abelmoschus Esculentus ◽  
Genetic Advance ◽  
Wide Range ◽  
High Heritability ◽  
Range Of Variation ◽  
Genotypic Coefficient Of Variation

The experiment comprising 30 okra (Abelmoschus esculentus) genotypes were grown and analysed for yield and its attributing traits at the Department of Vegetable science, Kumarganj, Faizabad during Zaid (2011) period. All the characters studied showed a wide range of variation. The variability for yield among the accessionsevaluated was also remarkable. The magnitude phenotypic coefficient of variation was higher than genotypic coefficient of variation for all traits. Both phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were high for plant height (11.10 and 10.60, respectively). Fruit weight exhibited low value of GCV (2.31) and PCV (4.74) and likely to show less response under selection. High heritability (91.3) with high genetic advance (26.74) was recorded for plant height, whereas, ridges per fruit had high heritability (97.0) with moderate genetic advance (18.45). This study aimed to evaluate okra genotypes for variability with a view to providing information on the development of high yielding genotypes to meet the growing food demand of the populace.

scholarly journals GENETIC VARIABILITY, HERITABILITY AND GENETIC ADVANCE IN POINTED GOURD (Trichosanthes dioica Roxb.)

2007 ◽  
Vol 20 (1) ◽  
pp. 47-52
Author(s):  
M. A. Malek ◽  
M. A. Bari Miah ◽  
M. O. Islam ◽  
A. M. M. Mosiul Hoque ◽  
R. Gomes
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Fruit Yield ◽  
Broad Sense ◽  
Genetic Advance ◽  
High Heritability ◽  
Trichosanthes Dioica ◽  
Pointed Gourd ◽  
Genotypic Coefficient Of Variation

Genetic variability, heritability in broad sense and expected genetic advance as percent of mean for fruit yield and nine characters were studied in 25 pointed gourd genotypes. Fruits per plant and fruit yield per plant showed maximum variability. Genotypic coefficient of variation was found high for fruit yield and number of fruits per plant. All the characters under study were highly heritable in nature. High heritability coupled with high genetic advance was observed for fruit yield and fruits per plant, which indicated that these characters are more reliable for effective selection.DOI: http://dx.doi.org/10.3329/bjpbg.v20i1.17026

scholarly journals An anatomical screening of white jute accessions for fibre content

2020 ◽  
pp. 72-76
Author(s):  
Arju Miah ◽  
A.K.M. Shahadat Hossain ◽  
Nihar Ranjan Saha ◽  
Md. Younus Ali ◽  
Md. Jahangir Alam ◽  
...  
Keyword(s):  
Coefficient Of Variation ◽  
Fibre Bundle ◽  
Screening Program ◽  
Block Design ◽  
Fibre Content ◽  
Genetic Advance ◽  
Bark Thickness ◽  
Genotypic Coefficient Of Variation ◽  
Better Than

The present study was conducted to evaluate the performance of 24 advanced lines of white jute and four check varieties ( CVL-1, CC-45, BJRI Deshi Pat-7 & BJRI Deshi Pat-8) for screening out high yielding and better quality fibre through an anatomical approach at JAES, Manikganj. The experiment was conducted in randomly complete block design (RCBD) with three replications. The cultivars revealed significant differences among them for all the characters with range of variability. The highest bark thickness (2.32 mm) was noticed by the accession C-5036 which performed significantly better than the two checks and lowest was recorded by C-5126 (1.07 mm). The variety BJRI Deshi Pat-8 observed significantly the highest number of pyramid (54.13) whereas the lowest was recorded by the varieties BJRI Deshi Pat-7 (28.23). The accession C-5117 showed significantly the highest number of layer (10.29) whereas the variety, BJRI Deshi Pat-7 showed significantly lowest number of layer (6.32). The accession C-2305(92.37) and C-12221 (91.19) significantly showed top two number of fibre bundle, however, the lowest number of fibre bundle was recorded by BJC-5105(42.79). The largest area of pyramid was observed by the accession C-5036 (46.85 sq. mm) whereas the lowest was showed by BJC-5105 (14.50 sq. mm). The differences between Phenotypic Coefficient of Variation (PCV) and Genotypic Coefficient of Variation (GCV) were little for all the characters indicating these characters were less influenced by the environment. Heritability and genetic advance (GA) were high for number of pyramid, number of fibre, bundle and Area of pyramid (sq.mm). Three accessions(C-12221, C-2305, C-5036) are showed the best performance than other accession on our screening program. These accessions are included in cluster V among the five clusters which exhibit the highest performance in all parameter except number of pyramid and may be used in further hybridization of jute.

scholarly journals Parameter genetik kultivar-kultivar jagung local pada cekaman salinitas sedang

Jurnal Agro ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 55-67
Author(s):  
Sakka Bin Samudin ◽  
Jeki Moh. Adnan Khalik ◽  
Ruli Akbar ◽  
Muliati Muliati ◽  
Mustakin Mustakin
Keyword(s):  
Salinity Stress ◽  
Coefficient Of Variation ◽  
Genetic Parameters ◽  
Plant Traits ◽  
Genetic Advance ◽  
Maize Breeding ◽  
Green House ◽  
Moderate Salinity ◽  
Genetic Coefficient Of Variation ◽  
Genetic Coefficient

Produktivitas jagung di Sulawesi Tengah masih relatif rendah dibanding produksi nasional sehingga perlu ditingkatkan melalui pemuliaan tanaman. Penelitian bertujuan untuk mengkaji parameter genetik tanaman jagung pada cekaman salinitas sedang.  Penelitian dilaksanakan pada Juni sampai Agustus 2019, di Green House Fakultas Pertanian, Universitas Tadulako, Palu. Rancangan percobaan yang digunakan adalah Rancangan Acak Lengkap (RAL) terdiri atas 6 perlakuan genotip dan diulang 3 kali serta 5 unit tanaman per perlakuan sehingga terdapat 90 unit percobaan. Parameter genetik yang di analisis adalah koefisiean keragaman genotipik, koefisien keragaman fenotipik, heritabilitas, kemajuan genetik, korelasi, dan analisis sidik lintas. Hasil penelitian menunjukkan bahwa kehijauan daun, bobot tongkol berkelobot, berat tongkol tidak berkelobot, dan berat biji pertongkol memiliki koefisien keragaman genetik tinggi. Kehijauan daun, berat tongkol berkelobot, bobot tongkol tidak berkelobot, panjang tongkol tidak berkelobot, diamater tongkol, berat biji per tongkol dan bobot 100 biji memiliki nilai heritabilitas dan kemajuan genetik tinggi. Seleksi secara tidak langsung dapat dilakukan pada umur panen agar diperoleh hasil jagung lokal yang tinggi pada kondisi tercekam salinitas sedang. Karakter-karakter tersebut dapat dijadikan acuan dalam menyeleksi tanaman jagung dengan cekaman salinitas sedang untuk program pemuliaan jagung.AbstractThe productivity of maize in Central Sulawesi is relatively low compared to national production and needs to be improved by plant breeding. The study aimed to examine the genetic parameters of the maize plant traits at moderate salinity stress. The research was conducted from June to August 2019, at the Green House of the Faculty of Agriculture, Tadulako University, Palu. The genetic parameters analyzed were genetic coefficient of variation, phenotypic coefficient of variation, heritability, genetic advance, correlation, and path analysis. The experimental design used a completely randomized design consisting of six genotypic treatments and repeated three times. The results showed that the leaves greenness, the weight of the cob with and without husk, and weight of seeds per cob had a high genetic coefficient of variation. Leaf greenness, the weight of the ear with and without husk, ear length without husk, ear diameter, seed weight per ear and yield have a high value of heritability and genetic advance. Indirect selection can be applied through harvest time trait to obtain a high local maize yield in moderate salinity stress condition. These traits can be used as a reference in selecting maize plants with moderate salinity stress for maize breeding programs.

scholarly journals GENETIC VARIABILITY OF RICE GENOTYPES (Oryza sativa L.)

2011 ◽  
Vol 24 (2) ◽  
pp. 31-35
Author(s):  
P. C. Roy ◽  
M. G. Rasul ◽  
M. A. K. Mian ◽  
M. A. H. Molla
Keyword(s):  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Phenotypic Variance ◽  
Genetic Advance ◽  
Environmental Variance ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes ◽  
Hill Number ◽  
Genotypic Coefficient Of Variation

An attempt was made to study genotypic variance, phenotypic variance, environmental variance, genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability (h2b) and genetic advance (GA) for some rice genotypes during July 2007 to January 2009 at BSMRAU campus, Gazipur 1706. Significant variations were obtained among the genotypes for all the characters studied. Considering genetic parameters high genotypic coefficient of variation (GCV) value was observed for harvest index followed by yield per hill, number of tillers per hill, number of filled grain per panicle, whereas days to maturity showed very low GCV. High heritability with high genetic advance (GA) observed for yield per hill followed by number of tillers per hill, number of filled grains per panicle indicated that these characters were under additive gene control and selection for genetic improvement for these traits might be effective.DOI: http://dx.doi.org/10.3329/bjpbg.v24i2.17004

scholarly journals Genetic variability, heritability, genetic advance and correlation among yield and yield components of rice (Oryza sativa L.)

2018 ◽  
Vol 1 (1) ◽  
pp. 149-160 ◽  
Author(s):  
Bhim Nath Adhikari ◽  
Bishnu Prasad Joshi ◽  
Jiban Shrestha ◽  
Naba Raj Bhatta
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Yield Components ◽  
Genetic Advance ◽  
Panicle Length ◽  
Thousand Grain Weight ◽  
Straw Yield ◽  
Days To Flowering ◽  
Genotypic Coefficient Of Variation

This study was conducted during summer 2015 at Regional Agriculture Research Station, Dipayal, Doti, Nepal to estimate the genotypic and phenotypic variability, heritability, genetic advance and correlation on grain yield and yield associated traits using 26 advance genotypes of lowland irrigated rice. Analysis of variance revealed the existence of significant difference for days to flowering, maturity, plant height, panicle length, thousand grain weight and grain yield. High heritability was estimated for days to flowering (0.88), maturity (0.79), thousand grain weight (0.48) and plant height (0.43) suggesting these traits are under high genetic control. High phenotypic variation was observed for grain yield (24.87%), number of grains/panicle (22.45%), number of panicles/m2 (20.95%) and straw yield (20.75%) while grain yield had medium (12.02%) and remaining traits showed low genotypic coefficient of variation (<10%). High phenotypic coefficient of variation estimated as compared to genotypic coefficient of variation showed environmental influence on the expression of traits. Grain yield (11.98) and days to flowering (10.32) showed medium and remaining traits sowed low genotypic advance as percent of mean. High to low heritability with moderate to low genotypic advance as percent of mean suggested these traits were governed by non additive gene thus direct selection is not beneficial. Further improvements on yield potentiality and yield traits on these genotypes are suggested by creating variation and selection. Panicle length (r = 0.230), days to flowering (r = 0.247), effective tillers (r = 0.488) and straw yield (r = 0.846) manifested significant positive association with grain yield indicating that yield can be increased if selection applied in favor of those yield components.

scholarly journals Genetic diversity in nine commercial okra (Abelmoschus esculentus L. Moench) genotypes

2016 ◽  
Vol 3 (2) ◽  
pp. 25-32
Author(s):  
A Bashar ◽  
MK Hossain ◽  
N Alam ◽  
Fakhruddin Ali Ahmed ◽  
R Hasan ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Analysis Of Variance ◽  
Coefficient Of Variation ◽  
Abelmoschus Esculentus ◽  
Genetic Advance ◽  
Commercial Cultivars ◽  
Heterogeneous Nature ◽  
Cluster Distance ◽  
Genotypic Coefficient Of Variation

Nine commercial cultivars of okra were evaluated for a number of agro-botanical traits. The analysis of variance for all the traits showed highly significant variations among the genotypes. The phenotypic coefficient of variation (PCV) was found higher than the genotypic coefficient of variation (GCV) for all characters. Maximum GCV and PCV were observed for branches/plant (42.54 and 42.60) and leaves/plant (27.93 and 27.99) respectively. Heritability as well as genetic advance was found maximum for branches/plant recorded as 99.72 and 87.50 respectively. Based on D2 statistics 9 genotypes were grouped into 4 clusters, namely cluster I, II, III and IV. Highest inter-cluster distance (1.18) was observed between cluster II and cluster IV. The genotypes of cluster IV possessed heterogeneous nature and showed highest intra-cluster distance (0.65). Titanic-1, BARI Derosh-1 and Green Finger genotypes were found superior to the rest of the genotypes due to their highest cluster mean for yield/plant (955.8g), plant height (208cm), leaves/plant (60.8) and fruits/plant (31.4). These information could be useful in recombination breeding programme.Jahangirnagar University J. Biol. Sci. 3(2): 25-32, 2014 (December)

scholarly journals An Estimate of Variability, Heritability and Genetic Advance for Grain Yield and Yield Components in Bread Wheat (Triticum aestivum L.)

2020 ◽  
pp. 1-6
Author(s):  
Ranjana Jaiswal ◽  
S. C. Gaur ◽  
Sunil K. Jaiswal ◽  
Anil Kumar
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Coefficient Of Variation ◽  
Triticum Aestivum L ◽  
Genetic Advance ◽  
Area Index ◽  
F2 Generation ◽  
Genotypic Coefficient Of Variation

Problem: Wheat (Triticum aestivum L.) is one of the principal cereal crops grown worldwide and one of the important staples of nearly 2.5 billion of world population. India ranks second position in terms of both in area and production after china. The substantial improvement in production is utmost necessary to feed the growing population. Objective: In India, wheat requirement by 2030 has been estimated at 100 million metric tons and to achieve this target, wheat production can be increased either through horizontal approach i.e. by the increasing area under cultivation or through vertical approach i.e. varietal/ hybrid improvement. For effective selection and utilization of superior genotype in the germplasm lines, knowledge of genetic parameters such as genetic variability, heritability and genetic advance is essential. Materials and Methods: The experimental material comprised of ten parents, their 45 F1s and 45 F2s developed by the crossing of 10 parents viz. HUW 510, HUW 234, HUW 468, UP 2338, HD 2402, RAJ 1972, HD 2329, LOK-1, SONALIKA and K 65 in half-diallel programme to study the fourteen characters. The final trial of F1, F2 including parents was conducted during Rabi 2014-15 with three replications employing Randomized Complete Block Design at Research Farm, BRDPG College, Deoria, Uttar Pradesh, India. Result: Wider range of phenotypic coefficient of variation (PCV) was observed for all the traits in F1 generation ranged from 2.19 (days to 50% flowering) to 13.47 (leaf area index) while, genotypic coefficient of variation (GCV) ranged from 1.50 (days to 50% flowering) to 11.28 (leaf area index). High heritability was observed in both F1 and F2 generation for leaf area index and day to maturity while, moderate to low level of heritability was recorded for other characters. The high value of genetic advance was not recorded in both F1 and F2 generation. Only moderate to the low value of genetic advance was observed for all the fourteen characters under study. Conclusion: Estimate of phenotypic and genotypic coefficient of variation of fourteen characters in both generations reveals sufficient variability indicating ample scope for genetic improvement of these traits through selection. Moderate level of heritability accompanied with a moderate level of genetic advance was observed for plant height, leaf area index, days to maturity and grain yield per plant in both F1 and F2 generation indicates additive gene effect and selection may be effective.

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