scholarly journals Morphological Variation in Arabica Coffee (Coffea arabica L.) Growing in North Sumatra Indonesia

2018 ◽  
Vol 46 (3) ◽  
pp. 314-321
Author(s):  
Sabam Malau ◽  
And Samse Pandiangan
Keyword(s):  
Genetic Correlation ◽  
Morphological Variation ◽  
Phenotypic Variation ◽  
Yield Components ◽  
Genotypic Variation ◽  
Phenotypic Correlation ◽  
Genetic Advance ◽  
Arabica Coffee ◽  
Leaf Weight ◽  
North Sumatra

Genetic variation is important in plant breeding. However, information on the genetic variability of Arabica coffee especially in coffee field of North Sumatra was not yet available.  Magnitude of morphological variation, genotypic variation, phenotypic variation, heritability, genetic advance, genetic correlation, and phenotypic correlation of plant vigors and yield components of 28 genotypes were evaluated using nested design.  This research showed morphological and genetic variations of the genotypes in the field. Based on the research locations as operational taxonomic unit, the genotypes were separated into three clusters. Most of the parameters had low to moderate genotypic variation, while phenotypic variation was moderate to high. Heritability and genetic advance were low, moderate, and high. Several plant vigors and yield components had a positive significant genetic and phenotypic correlation one another, and several had negative ones. Coffee berry borer infestation (CBBI) had a highly significant negative genetic correlation with leaf width (rG = -0.309**), leaf weight (rG = -0.671**), fruit diameter (rG = -0.320**), and bean length (rG = -0.175**). CBBI showed a significant positive genetic correlation with mesocarp pH (rG = 0.134*).  To reduce CBBI, selection for higher leaf weight is better. Selection on lower pH of mesocarp could be considered to decrease CBBI.Keywords: cluster analysis, genetic correlation, genetic heritability, variability

scholarly journals Genetic variability, heritability and genetic advance of yield and yield contributing characters of lablab bean (Lablab purpureus L.)

2015 ◽  
Vol 26 (1) ◽  
pp. 22-25
Author(s):  
M Asaduzzaman ◽  
MJH Bhuiyan ◽  
MA Hossain ◽  
SA Raffi
Keyword(s):  
Genetic Variability ◽  
Phenotypic Variation ◽  
Genotypic Variation ◽  
Genetic Advance ◽  
Lablab Purpureus ◽  
Floodplain Soil ◽  
Green Seed ◽  
Pod Yield ◽  
Days To Maturity ◽  
Pod Length

Studies on genetic variability, heritability and genetic advance were carried out with 14 genotypes of Lablab bean (Lablab purpureus L.) cultivated at the Agro-ecological zone9 (AEZ-9) comprising the Old Brahmaputra Floodplain Soil. Considerable amount of genotypic and phenotypic coefficient of variation was observed for all characters studied. Phenotypic variation was greater than that of the genotypic variations for all the characters. The greater portion of total phenotypic variation was due to the genotypic variation. Highest genetic and phenotypic variation were observed for green pod yield per plant (1882.68 and 2108.43, respectively) and 100-green seed weight (1380.91 and 1452.07, respectively) Heritability values were higher for days to maturity (81.37) , number of raceme per plant (80.62), pod length (99.43), pod width (99.27), green pod yield per plant (89.29), dry shelling percentage (91.58), seed yield per plant (84.93) and protein content (98.11) indicating the better potentials of improving these characters for improvement of yield. Maximum genetic advance expressed as percentage of mean was recorded for green pod yield per plant (95.22).Progressive Agriculture 26:22-25, 2015

scholarly journals Genotypic and phenotypic correlations among coffee leaf rust symptoms of Arabica coffee genotypes in North Sumatra. Indonesia

2022 ◽  
Vol 951 (1) ◽  
pp. 012056
Author(s):  
S Malau ◽  
M R Sihotang
Keyword(s):  
Leaf Rust ◽  
Block Design ◽  
Phenotypic Correlation ◽  
Arabica Coffee ◽  
Phenotypic Correlations ◽  
Coffee Leaf Rust ◽  
Genotypic And Phenotypic Correlations ◽  
Rust Severity ◽  
North Sumatra ◽  
Coffee Breeding

Abstract Coffee leaf rust (CLR) is a pandemic and a serious threat for coffee sustainability in many coffee producing countries. To overcome this CLR, the world’s consensus is to use of resistant cultivars which can be created through coffee breeding program. This research aimed to study genotypic and phenotypic correlations between CLR symptoms of seven arabica coffee (Coffea arabica L.) genotypes that were selected from different districts of North Sumatra Province, Indonesia. This experimental research using a randomized complete block design with three replications was conducted at the experimental garden of the Faculty of Agriculture, Universitas HKBP Nommensen in Medan. The result of this study indicate that leaf rust severity (LRS) had a genotypic component variance of 86.8% which indicated that LRS was controlled more dominantly by plant genetics than other unknown factors. Severity indicated by LRS showed no genotypic and phenotypic correlation with dispersal indicated by branch rust incidence (BRI) and leaf rust incidence (LRI). BRI genotypically correlated with LRI. The results of this study could contribute to resistance coffee breeding for CLR.

scholarly journals Resistance Variability of Arabica Coffee Genotypes (Coffea arabica L.) to Leaf Rust Disease (Hemileia vastatrix)

2019 ◽  
Vol 6 (2) ◽  
pp. 69
Author(s):  
Sabam Malau
Keyword(s):  
Leaf Rust ◽  
Genotypic Variation ◽  
Leaf Length ◽  
Rust Disease ◽  
Hemileia Vastatrix ◽  
Resistance Level ◽  
Design Data ◽  
Arabica Coffee ◽  
Nested Design ◽  
North Sumatra

<p>Coffee leaf rust disease (<em>Hemileia vastatrix</em>) causes large damage to Arabica coffee plantation in Asia, Africa, and America.  In Indonesia, particularly in North Sumatra, the resistance level of Arabica coffee genotypes is still unknown. The objective of this research was to determine the resistance variability of Arabica coffee genotypes to leaf rust disease and its relation to leaf morphology.  A total of 84 genotypes grown in North Sumatra were selected in November 2015 and 2016, and December 2017 using a nested design.  Data were analyzed using nested design, correlation, stepwise regression, and cluster hierarchy analysis. The result showed that the G56 genotype performed the most resistant to leaf rust disease, with a severity of 5.21%.  The severity of leaf rust disease has high genotypic variation, low heritability, and high genetic advance.  Leaf morphological ratios showed moderate to high genotypic variation and heritability.  The severity of leaf rust (y) significantly correlated with the ratio of leaf length to leaf area (x<sub>1</sub>) and the ratio of leaf length to leaf width (x<sub>2</sub>) with the equation y = 2.04 + 62.48x<sub>1 </sub>- 3.95x<sub>2,</sub> and multiple correlation coefficients R = 0.470 **. By using the leaf rust severity and the two ratios in the cluster analysis, these 84 genotypes were grouped into five clusters.  The result showed that several Arabica coffee genotypes with a high level of resistance to leaf rust disease are potential to be further developed.</p>

scholarly journals Realized Sampling Variances of Estimates of Genetic Parameters and the Difference Between Genetic and Phenotypic Correlations

Genetics ◽  
1996 ◽  
Vol 143 (3) ◽  
pp. 1409-1416 ◽  
Author(s):  
Kenneth R Koots ◽  
John P Gibson
Keyword(s):  
Genetic Correlation ◽  
Genetic Parameters ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Phenotypic Correlation ◽  
Parameter Estimates ◽  
Sampling Variance ◽  
Phenotypic Correlations ◽  
Genetic And Phenotypic Correlations ◽  
Heritability Estimates

Abstract A data set of 1572 heritability estimates and 1015 pairs of genetic and phenotypic correlation estimates, constructed from a survey of published beef cattle genetic parameter estimates, provided a rare opportunity to study realized sampling variances of genetic parameter estimates. The distribution of both heritability estimates and genetic correlation estimates, when plotted against estimated accuracy, was consistent with random error variance being some three times the sampling variance predicted from standard formulae. This result was consistent with the observation that the variance of estimates of heritabilities and genetic correlations between populations were about four times the predicted sampling variance, suggesting few real differences in genetic parameters between populations. Except where there was a strong biological or statistical expectation of a difference, there was little evidence for differences between genetic and phenotypic correlations for most trait combinations or for differences in genetic correlations between populations. These results suggest that, even for controlled populations, estimating genetic parameters specific to a given population is less useful than commonly believed. A serendipitous discovery was that, in the standard formula for theoretical standard error of a genetic correlation estimate, the heritabilities refer to the estimated values and not, as seems generally assumed, the true population values.

scholarly journals Genetic correlation between traits in the ESALQ-PB1 maize population divergently selected for tassel size and ear height

2001 ◽  
Vol 58 (1) ◽  
pp. 119-123 ◽  
Author(s):  
Austeclínio Lopes Farias Neto ◽  
José Branco de Miranda Filho
Keyword(s):  
Genetic Correlation ◽  
Correlation Coefficients ◽  
Divergent Selection ◽  
Phenotypic Correlation ◽  
Base Population ◽  
Branch Number ◽  
Maize Population ◽  
Tassel Branch Number ◽  
Ear Height ◽  
Selection For

Full-sib and selfed (S1) progenies were obtained from sub-populations of ESALQ-PB1, divergently selected for tassel size (T+ and T-) and ear height (E+ and E-), and used for estimating genetic and phenotypic correlation coefficients between traits. The analyzed traits were: EW- total ear weight (g/plant), PH- plant height (cm), EH- ear height (cm), TB- tassel branch number and TL- tassel length. The highest genetic (rG) and phenotypic (rF) correlation was observed for the combination PH x EH, as expected, with average of 0.800 and 0.778, respectively over sub-populations and locations. It is apparent that divergent selection for tassel size did not affect greatly the correlation between PH and EH in the full sib progenies, but in the inbred progenies the correlation was smaller in the sub-population selected for larger tassels. Genetic correlation between PH and EH with tassel traits was always positive but ranged from 0.020 to 0.668 in Piracicaba and from 0.06 to 0.309 in Rio Verde. Genetic correlation between PH and EH with yield (EW) also was positive in the range of 0.087 to 0.503. EH showed higher correlation with EW in relation to PH x EW and differences were larger in the sub-populations divergently selected for ear height. Correlation between tassel traits with other traits was positive in most of instances and a lack of consistency was observed among sub-populations. Generally the coefficients of genetic and phenotypic correlation differed substantially from the estimates in the base population ESALQ-PB1 before divergent selection for tassel size and ear placement. Divergent selection affected the correlation between traits under unpredicted and varying magnitudes.

scholarly journals Genetic Variability and Association Analysis of SomeQuantitative Characters in Sweet Corn

2013 ◽  
Vol 41 (2) ◽  
pp. 404
Author(s):  
Ozlem ALAN ◽  
Gulcan KINACI ◽  
Engin KINACI ◽  
Imren KUTLU ◽  
Zekiye BUDAK BASCİFTCİ ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Yield Components ◽  
Sweet Corn ◽  
Block Design ◽  
Sugar Content ◽  
Yield Potential ◽  
Genetic Advance ◽  
Solid Concentration ◽  
Kernel Quality ◽  
Soluble Solid

The objective of this study was to determine genetic variability, heritability, genetic advance, genotypic and phenotypic correlations of yield, yield components and kernel quality traits in seven sweet corn varieties. The present research was conducted during 2009 and 2010 growing season in Eskisehir, midwestern Turkey. The trials were set up in randomised complete block design with four replications. Analysis of variance observed highly significant differences for all the examined traits in both years. Sugar content, soluble solid concentration and number of leaves per plant revealed the highest genotypic and phenotypic coefficient of variation values. The high heritability estimates coupled with high genetic advance for sugar content, soluble solid concentration and starch content. Positive correlations were revealed between yield (husked, dehusked and fresh kernel) and yield components except plant height and 1000 seed weight. Negative correlations were found between kernel quality and yield and yield related traits. It can be concluded that, husked ear weight and dehusked ear weight could be used as the main criteria for yield improvement. It should be unfeasible to develop sweet corn varieties with satisfactory yield potential and improved kernel quality for the different sweet corn markets.

HERITABILITIES AND GENETIC CORRELATIONS FOR ULTRASONIC BACKFAT MEASUREMENTS, GROWTH AND CARCASS TRAITS IN SWINE

1982 ◽  
Vol 62 (3) ◽  
pp. 665-670 ◽  
Author(s):  
D. C. JEFFRIES ◽  
R. G. PETERSON
Keyword(s):  
Key Words ◽  
Genetic Correlation ◽  
Genetic Parameters ◽  
Average Daily Gain ◽  
Genetic Correlations ◽  
Phenotypic Correlation ◽  
Ultrasonic Measurements ◽  
Yorkshire Pigs ◽  
Daily Gain ◽  
Season Interaction

Genetic parameters were estimated for 2403 purebred Yorkshire pigs over a 2-yr period, representing 21 sires. The traits studied included average daily gain, age adjusted to 90 kg, ultrasonic measurements of backfat at the mid-back and loin positions, total and adjusted total ultrasonic backfat and corresponding carcass backfat measurements. Least squares analyses were used to estimate and adjust for the effects of sex, year-season and sex by year-season interaction. Heritabilities and genetic correlations were calculated for all traits using both half- and full-sib estimates. Adjusted age and adjusted total ultrasonic backfat measurements were found to have the highest heritabilities of the live traits in this study. Estimates of heritability for adjusted age and adjusted total ultrasonic backfat were 0.24 ± 0.10 and 0.26 ± 0.10 based on half-sib and 0.56 ± 0.07 and 0.41 ± 0.06 from full-sib analyses. The genetic correlation between these two traits was −0.07 ± 0.28 based on the half-sib method. The total phenotypic correlation was −0.01 ± 0.02. Key words: Swine, ultrasonic backfat, heritabilities, genetic correlations

scholarly journals Genetic correlations and path-coefficient analysis of yield and quality components in wheat, Triticum aestivum L.

Genetika ◽  
2004 ◽  
Vol 36 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Veselinka Zecevic ◽  
Desimir Knezevic ◽  
Danica Micanovic
Keyword(s):  
Genetic Correlation ◽  
Harvest Index ◽  
Genetic Correlations ◽  
Grain Weight ◽  
Spike Length ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Bread Making

The genetic and phenotypic correlations between yield components (productive tillering, plant height, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, grain weight per plant, harvest index, thousand grain weight) and quality components (grain protein content and sedimentation value) were investigated. The plant material was comprised of 50 genotypes of winter wheat grown during two years. Path- coefficient analysis of genetic correlation coefficients for grain mass/plant and other traits determined interrelationships among grain mass per plant and other yield and bread making quality components. The strongest positive genetic correlation was found between grain weight per spike and thousand grain weight and between spike length and number of spikelets per spike. Phenotypic correlation analysis indicated that grain weight per spike correlated positively and significantly with harvest index and thousand kernel weight. The strongest direct effect on grain weight per plant had harvest index and number of spikelets per spike. The spike length through number of spikelets per spike had the strongest indirect effect on grain weight per plant.

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