scholarly journals Assessment of Agro-Morphologic Performance, Genetic Parameters and Clustering Pattern of Newly Developed Blast Resistant Rice Lines Tested in Four Environments

Agronomy ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1098 ◽  
Author(s):  
Raieah Saiyedah Sabri ◽  
Mohd Y. Rafii ◽  
Mohd Razi Ismail ◽  
Oladosu Yusuff ◽  
Samuel C. Chukwu ◽  
...  
Keyword(s):  
Analysis Of Variance ◽  
Phenotypic Variability ◽  
Block Design ◽  
Peninsular Malaysia ◽  
Yield Component ◽  
Phenotypic Variance ◽  
Genetic Advance ◽  
Commercial Cultivation ◽  
Days To Maturity ◽  
Yield Component Traits

Multi-environmental yield trial is very vital in assessing newly developed rice lines for its adaptability and stability across environments especially prior to release of the newly developed variety for commercial cultivation. The growth performance and phenotypic variability of these genotypes are the combination of environment, genotype and genotype by environment (G×E) interaction factors. Thus, evaluation creates an opportunity for effective selection of superior genotypes. The objectives of this study were to evaluate the newly developed blast resistant rice lines in varied environmental conditions, precisely measure the response of the advanced lines in multiple environments and classify the genotypes into groups that could serve as varieties for commercial cultivation. Genetic materials included 18 improved blast resistant rice lines and the recipient parent MR219. The total of 19 newly developed genotypes was evaluated under four varied environments in Peninsular Malaysia. The experiments were carried out using randomized complete block design (RCBD) with three replications at each environment. Data were collected on the vegetative, yield and yield component traits. Descriptive statistics (mean performance) and analysis of variance were conducted using SAS Software version 9.4. Genotypic and phenotypic coefficients, phenotypic variance component, heritability and genetic advance were also determined. Analysis of variance revealed that all traits were significantly different for genotypes except days to maturity, number of filled grains and total number of grains. Meanwhile, all the traits differed significantly for genotype × environment (G×E) except number of tillers per hill and number of panicles per hill. Low heritability (<30%) was found for all the traits. Similarly, low genetic advance was also observed for all the traits except for number of tillers per hill and number of panicles per hill. yield per hectare had significant and positive correlation with most evaluated traits except for days to flowering, days to maturity, plant height and number of unfilled grains. Cluster analysis classified the 19 evaluated genotypes into six groups. Therefore, the six clusters/groups of genotypes were recommended as varieties for commercial cultivation in Malaysia and other rice growing regions.

scholarly journals AMMI and GGE biplot analysis for yield performance and stability assessment of selected Bambara groundnut (Vigna subterranea L. Verdc.) genotypes under the multi-environmental trails (METs)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Md Mahmudul Hasan Khan ◽  
Mohd Y. Rafii ◽  
Shairul Izan Ramlee ◽  
Mashitah Jusoh ◽  
Md Al Mamun
Keyword(s):  
Block Design ◽  
Pooled Analysis ◽  
Yield Component ◽  
Bambara Groundnut ◽  
Gge Biplot ◽  
Vigna Subterranea ◽  
Stability Parameters ◽  
Commercial Cultivation ◽  
Yield Component Traits ◽  
Ideal Genotype

AbstractThe stability and high yielding of Vigna subterranea L. Verdc. genotype is an important factor for long-term development and food security. The effects of G × E interaction on yield stability in 30 Bambara groundnut genotypes in four different Malaysian environments were investigated in this research. The experiment used a randomized complete block design with three replications in each environment. Over multiple harvests, yield component traits such as the total number of pods per plant, fresh pods weight (g), hundred seeds weight (g), and yield per hectare were evaluated in the main and off-season in 2020 and 2021. Stability tests for multivariate stability parameters were performed based on analyses of variance. For all the traits, the pooled analysis of variance revealed highly significant (p < 0.01) variations between genotypes, locations, seasons, and genotypes by environment (G × E interaction). A two-dimensional GGE biplot was generated using the first two principal components (axis 1 and axis 2), which accounted for 94.97% and 3.11% difference in GEI for yield per hectare, respectively. Season and location were found to be the most significant causes of yield heterogeneity, accounting for 31.13% and 14.02% of overall G + E + G × E variation, respectively, according to the combined study of variance. The GGE biplot revealed that the three winning genotypes G1, G3, and G5 appear across environments whereas AMMI model exposed genotypes viz G18, G14, G7, G3, G1, and G5 as best performer. Based on ideal genotype ranking genotype G1 was the best performer, with a high mean yield and high stability in the tested environment. According to the AEC line, genotypes G1 and G3 were extremely stable, while genotypes G2 and G4 were low stable, with a high average yielding per hectare. A GGE and AMMI biplot graphically showed the interrelationships between the tested environment and genotypes, classified genotypes into three categories as well as simplifying visual evaluations, according to this investigation. According to our results, breeding could improve yield production, and the genotypes discovered could be recommended for commercial cultivation.

scholarly journals Expected genetic advance for thousand grain weight and grain number per spike of bread wheat and durum wheat

2016 ◽  
Vol 61 (2) ◽  
pp. 113-125
Author(s):  
Gordana Brankovic ◽  
Dejan Dodig ◽  
Desimir Knezevic ◽  
Vesna Kandic ◽  
Jovan Pavlov
Keyword(s):  
Durum Wheat ◽  
Bread Wheat ◽  
Yield Component ◽  
Grain Weight ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Genetic Advance ◽  
Thousand Grain Weight ◽  
Grain Number ◽  
Grain Number Per Spike

The research was aimed at examining variability, variance components, broadsense heritability (h2), expected genetic advance of thousand grain weight (TGW) and grain number per spike (GNS) of 15 genotypes of bread wheat and 15 genotypes of durum wheat. Field trials were carried out during 2010-2011 and 2011-2012 growing seasons at the three sites: Rimski Sancevi, Zemun Polje and Padinska Skela. Results of this investigation showed that the genetic component of variance (?2 g) was predominant for TGW of bread and durum wheat and for GNS of bread wheat. The genotype ? environment interaction (?2 ge) component of phenotypic variance was 8.72 times higher than ?2 g for GNS of durum wheat and pointed to the greater instability of durum wheat genotypes. h2 was very high (>90%) for TGW and GNS of bread wheat, high for TGW of durum wheat - 87.3% and low for GNS of durum wheat - 39.5%. Considering the high values obtained for h2 - 96.4% and the highest value for expected genetic advance as percent of mean (GAM) - 19.3% for TGW of bread wheat, the success of selection for desired values of this yield component can be anticipated. The success of selection cannot be predicted for GNS of durum wheat due to low values obtained for h2 and GAM of 39.5% and 2.8%, respectively.

scholarly journals GENETIC VARIABILITY, HERITABILITY AND EXPECTED GENETIC ADVANCES OF QUANTITATIVE CHARACTERS IN F2 PROGENIES OF SOYBEAN CROSSES

2014 ◽  
Vol 15 (1) ◽  
pp. 11
Author(s):  
Lukman Hakim ◽  
Suyamto Suyamto ◽  
Eman Paturohman
Keyword(s):  
Plant Height ◽  
Seed Size ◽  
Block Design ◽  
Genetic Advance ◽  
Genetic Progress ◽  
Early Maturity ◽  
Plant Seed ◽  
Randomized Block Design ◽  
Days To Maturity ◽  
Coefficient Of Variability

The F2 progenies of crosses among three soybean varieties were evaluated with their parents at Ngale Experimental Farm, Ngawi, East Java during the dry season of 2011. The experi-ment was conducted in a randomized block design with three replications. The seeds of each F2 progenies and parents were planted in two rows of 4.5 m long. Plant spacing was 40 cm x 15 cm and each hill contained one plant. Among the characters studied, seed weight per plant, number of pods per plant and days to maturity had the highest coefficient of variability with the means of 52.6%, 48.2% and 41.9%, respectively. Whereas seed size, plant height and number of reproductive nodes had moderate values of 36.9%, 35.5% and 37.4%, respectively. Number of branches and days to flowering had the lowest variability of 11.7% and 15.3%, respectively. Number of pods per plant, days to maturity, plant height and seed size had high mean estimates of heritability coupled with high genetic advance. The genetic progress of these characters that would be obtained for one generation of selection was estimated 47.2%, 45.7%, 40.9% and 40.3%, respectively. Among the agronomic characters, plant height, number of pods per plant, seed size and days to maturity had the highest coefficient of variability associated with high heritability and genetic advance. Therefore, selection for high yielding with early maturity soybean genotypes based on plant height, number of pods per plant and seed size might be possible.

scholarly journals Assessment of growth and productivity of five peanut cultivars and genetic diversity using RAPD markers

2019 ◽  
Vol 43 (1) ◽  
Author(s):  
Ghada M. Samaha ◽  
M. A. Ahmed ◽  
Asmaa R. Abd El-Hameid
Keyword(s):  
Genetic Diversity ◽  
Vegetative Growth ◽  
Rapd Markers ◽  
Seed Quality ◽  
Growth Traits ◽  
Block Design ◽  
Growth Yield ◽  
Yield Component ◽  
Peanut Cultivars ◽  
Yield Component Traits

Abstract Background This study was conducted to evaluate the genetic diversity of five peanut cultivars grown under field conditions. A field experiment was conducted using five peanut cultivars (Giza-5, Giza-6, Ismailia-1, Gregory, and R92) in a randomized complete block design with five replications during two following seasons to estimate the performance of five peanut cultivars for vegetative growth, yield, and yield component traits as well as seed quality traits. Twenty RAPD primers were used to identify a unique fingerprint for each of five cultivars. Results Giza-6 cultivar surpassed all the tested peanut cultivars in the most vegetative growth traits and yield and its components traits, while the lowest values were observed in Giza-5 cultivar. The dendrogram constructed from RAPD analysis showed that Gregory and Giza-5 were the most distant among five peanut cultivars. Conclusions RAPD markers are useful in the detection of genetic diversity of peanut. The availability of genetic diversity is important for the genetic improvement of peanut.

scholarly journals Varietal Evaluation and Clustering of Early Maize Genotypes in Mid-Western Hilly Region of Nepal

2020 ◽  
Vol 77 (2) ◽  
pp. 24
Author(s):  
Bishnu Prasad KANDEL
Keyword(s):  
Genetic Diversity ◽  
Block Design ◽  
Yield Component ◽  
Research Station ◽  
Maize Genotypes ◽  
Hilly Region ◽  
Randomized Complete Block Design ◽  
Component Traits ◽  
Yield Component Traits ◽  
Selection Of

Eleven early maize (Zea mays) genotypes were evaluated for their yield and yield component traits at the research block of Regional Agriculture Research Station (RARS) Lumle, Kaski, Nepal during Kharif season of 2016. The experiment was laid out in randomized complete block design (RCBD) with three replications. Results showed that all the studied genotypes differed significantly for grain yield as well as other yield component traits except number of kernel per row. Out of tested genotypes COMPOZ-NIPB, EEYC1, POP-445/POP-446 were three top performer genotypes yielding 6.89, 5.38 and 5.19 t ha-1. Early mid Katamari, Rajahar local, Manakamana-5, EEYC1 were statistically at par with Arun-4(standard check) and will be needed further evaluation and improvement by a selection of desirable traits. Eleven genotypes occupied three different clusters and showed that early maize genotypes suggest considerable genetic diversity among themselves. Genotypes belong to cluster one having the highest yield potentials so need to be further evaluation in different location of mid hill and recommended best variety for that domain.

scholarly journals Determination of Relationship and Path Co-efficient between Pod Yield and Yield Component Traits of Groundnut Cultivars

2014 ◽  
Vol 14 (2) ◽  
pp. 1-8
Author(s):  
SB Thakur ◽  
SK Ghimire ◽  
NK Chaudhary ◽  
SM Shrestha ◽  
B Mishra
Keyword(s):  
Root Length ◽  
Yield Component ◽  
Days To Flowering ◽  
Pod Yield ◽  
Kernel Length ◽  
Days To Maturity ◽  
Component Traits ◽  
Yield Component Traits ◽  
Positive Direct ◽  
Pod Length

Twenty - five groundnut genotypes, obtained from National Oilseed Research Program (NORP), Nawalpur, Nepal along with local checks (B -4, Baidehi, Rajshree and Jayanti) were used to study correlation and path co-efficient among pod yield and yield component traits in groundnut. The pod yield ha-1 showed highly significant and positive association with days to maturity, sound matured kernel (SMK)%, pod length, pod width and kernel length but the highly significant and negative association was shown with days to flowering, pod plant-1, shoots length, shelling % and specific leaf area. Partitioning the total yield contributions into individual and combined effect showed that days to maturity, root length, pod width, pod length and kernel length made individual high positive direct contribution to pod yield ha-1.Days to flowering, shoot length, shelling %, SMK% and100 kernel weights had direct negative contribution with pod yield ha-1. Therefore, days to maturity, root length, pod width, pod length and kernel length were identified to be the important traits which could be used in selection for yield. DOI: http://dx.doi.org/10.3126/njst.v14i2.10409 Nepal Journal of Science and Technology Vol. 14, No. 2 (2013) 1-8

Stability analysis for various quantitative traits insoybean [Glycine max (L.) merrill]

2016 ◽  
Author(s):  
Gunjan Tiwari ◽  
Kamendra Singh ◽  
Pushpendra ◽  
N. K. Singh
Keyword(s):  
Quantitative Traits ◽  
Block Design ◽  
Yield Component ◽  
Genotype X Environment ◽  
Stability Performance ◽  
Randomized Complete Block Design ◽  
Component Traits ◽  
Glycine Max L ◽  
Per Se ◽  
Yield Component Traits

The present investigation was carried out to study stability performance over twelve environments for yield and yield contributing characters in twenty two genetically diverse genotypes of soybean using a randomized complete block design. The partitioning of (environment + genotype x environment) mean squares showed that environments (linear) differed significantly and were quite diverse with regards to their effects on the performance of genotypes for yield and its components. Stable genotypes were identified for wider and specific environments with high per se performance (over general mean) for majority of yield component traits. The investigation revealed that the genotypes ABL 55, ABL 20, ABL 62 and ABL 45 were desirable and stable across the environments for different yield contributing traits. Other genotypes ABL 43 and ABL 17 were found to be suitable for favourable situations, while genotypes ABL19 were adapted to poor environments for yield and majority of yield contributing traits.

scholarly journals Genetic Variability and Path Analysis of Groundnut (Arachis hypogaea L.)

1970 ◽  
Vol 9 (1-2) ◽  
pp. 29-36 ◽  
Author(s):  
MA Zaman ◽  
M Tuhina-Khatun ◽  
MZ Ullah ◽  
M Moniruzzamn ◽  
KH Alam
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Agricultural Research ◽  
Block Design ◽  
Positive Association ◽  
Research Station ◽  
Genetic Advance ◽  
Days To Maturity ◽  
Positive Direct

An experiment was conducted at the Research farm of Regional Agricultural Research Station, BARI, Hathazari, Chittagong during Rabi season (December to April), 2009-2010 for estimation of genetic variability, genetic parameters and correlation coefficient among different yield components in a randomized block design with three replications. Thirty four groundnut genotypes were tested in the experiment. Highly significant variations were observed among the genotypes for all the characters studied. The highest genetic coefficient of variation was observed for karnel yield per hectare, followed by karnel yield per plant, branches per plant, immature and mature nuts per plant, 100 kernal weight and plant height. The highest heritability was observed in karnel yield per pant (95.08%), followed by karnel yield per hectare (94.38%), 100 kernal weight (87.01%), immature and mature nuts per plant (82.24%, 80.32%), branches per plant (79.54%) and 100 nut weight (78.98%), while high values of genetic advance were obtained in all the characters except days to maturity and days to 50% flowering. The seed yield per plant showed the highly significant and positive association with nut size, number of nuts per plant, karnel size and days to 50% flowering. The number of mature nuts per plant had high positive direct effect on seed yield per hectare followed by nut size, shelling percentage, days to 50% flowering and days to maturity. Therefore, branches per plant, plant height, nuts per plant, nut size, karnel size, days to 50% flowering, shelling percentage and days to maturity were identified to be the important characters which could be used in selection for yield. Keywords: Genetic variability; heritability; genetic advance; groundnut DOI: http://dx.doi.org/10.3329/agric.v9i1-2.9476 The Agriculturists 2011; 9(1&2): 29-36

scholarly journals Genetic, Heritability and Genetic Advance of Progenies Derived from Hybridization of Vanda ‘Adrienne’ × Ascocenda ‘Peggy Foo’ with Vanda malinii × Vanda denisoniana Benson & Rchb.f. in vivo

2019 ◽  
Vol 11 (2) ◽  
pp. 233-240
Author(s):  
Minangsari DEWANTI ◽  
Suskandari KARTIKANINGRUM ◽  
Mega WEGADARA ◽  
Budi WINARTO
Keyword(s):  
Genetic Variability ◽  
Phenotypic Variability ◽  
Block Design ◽  
Genetic Advance ◽  
Genetic Heritability ◽  
Randomized Complete Block Design ◽  
Additive Gene ◽  
Number Of Leaves ◽  
Crop Research

Hybridization is the process on interbreeding between individuals of different species or genetically divergent individuals from the same species to produce new progenies with their uniqueness and differences, involving in Vanda. Aim of this research was to explore genotypic and phenotypic variability, heritability and genetic advance of progenies derived from hybridization of Vanda ‘Adrienne’ × Ascocenda ‘Peggy Foo’ with Vanda malinii × Vanda denisoniana Benson & Rchb.f, and to find best characters used for selection. The experiment was conducted at Segunung Experimental Garden of Indonesian Ornamental Crop Research Institute (IOCRI) on altitude of 1100 m above sea level from June 2013 until December 2016. Thirteen genotypes derived from hybridization of V. ‘Adrienne’ × A. ‘Peggy Foo’ with V. malinii × V. denisoniana of 1A, 2A, 21A, 27A, 50A, 52A, 98A, 101A, 102A, 113A, 116A, 120A, and 120B were used in the study. The experiment was arranged in a Randomized Complete Block Design (RCBD) with three replications. Results of the study indicated that range of genetic variability was varied from 1.2-184.7% with wide genetic variability determined on number of leaves per plant (NLP) up to 26.5% with 184.7% for leaf width (LW) and 24.7% for spike length (SL). Moderate heritability of 25.2% for NLP, 21.0% for LW and 25.2% for SL coupled with high genetic advance percent of mean up to 59.7% for NLP, 939.7% for LW and 33% for SL, reflecting the presence and expression of additive gene action of these traits. The results indicated the importance of these three characters best used as selection criteria for Vanda genotypes.

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