scholarly journals Comparative Performance of Corymbia Hybrids and Parental Species in Subtropical Queensland and Implications for Breeding and Deployment

2009 ◽  
Vol 58 (1-6) ◽  
pp. 205-212 ◽  
Author(s):  
David J. Lee ◽  
J. R. Huth ◽  
J. T. Brawner ◽  
G. R. Dickinson
Keyword(s):  
Pilot Scale ◽  
Genotype By Environment Interaction ◽  
Breeding Strategy ◽  
Hybrid Breeding ◽  
Environment Interaction ◽  
Comparative Performance ◽  
F1 Hybrid ◽  
Stem Straightness ◽  
Corymbia Citriodora ◽  
Branch Size

AbstractEighty six full-sib Corymbia F1 hybrid families (crosses between C. torelliana and four spotted gum taxa: C. citriodora subsp. variegata, C. citriodora subsp. citriodora, C. henryi and C. maculata), were planted in six trials across six disparate sites in south-eastern Queensland to evaluate their productivity and determine their potential utility for plantation forestry. In each trial, the best-growing 20% of hybrid families grew significantly faster (P = 0.05) than open-pollinated seedlots of the parent species Corymbia citriodora subsp. variegata, ranging from 107% to 181% and 127% to 287% of the height and diameter respectively. Relative performance of hybrid families growing on more than one site displayed consistency in ranking for growth across sites and analysis showed low genotype-by-environment interaction. Heritability estimates based on female and male parents across two sites at age six years for height and diameter at breast height, were high (0.62 ± 0.28 to 0.64 ± 0.35 and 0.31 ± 0.21 to 0.69 ± 0.37 respectively), and low to moderate (0.03 ± 0.04 to 0.33 ± 0.22) for stem straightness, branch size, incidence of ramicorns, and frost and disease resistance traits at ages one to three years. The proportion of dominance variance for height and diameter had reduced to zero by age six years. Based on these promising results, further breeding and pilot-scale family forestry and clonal forestry deployment is being undertaken. These results have also provided insights regarding the choice of a future hybrid breeding strategy.

scholarly journals Genetic Parameters and Genotype by Environment Interaction in Radiata Pine for Growth and Wood Quality Traits in Australia

2010 ◽  
Vol 59 (1-6) ◽  
pp. 113-124 ◽  
Author(s):  
Brian. S. Baltunis ◽  
W. J. Gapare ◽  
H. X. Wu
Keyword(s):  
Genetic Correlation ◽  
Genetic Parameters ◽  
Radiata Pine ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Tree Diameter ◽  
Genotype By Environment ◽  
Branch Angle ◽  
Stem Straightness ◽  
Branch Size

Abstract The phenotypic response of genotypes across different environments can be quantified by estimating the genotype by environment interaction (GxE). In a practical sense, GxE means that the relative performance of genotypes does not remain constant under all test conditions. Genetic parameters and genotype by environment interactions for wood density, growth, branching characteristics and stem straightness were investigated in eight radiata pine progeny trials derived from a second generation breeding population in Australia. Five trials were on the mainland, while three trials were in Tasmania. Generally, ĥ2 for density > branch angle > stem straightness > tree diameter > branch size; and significant ĥ2 was observed for all traits and at all trials with only two exceptions. Genetic correlations were estimated among the five traits, and a large negative genetic correlation observed between wood density and tree diameter indicated that a selection strategy should be developed in dealing with this adverse genetic correlation in advanced generations of breeding for radiata pine. Interactions for density, branch angle, and stem straightness were small within the two regions. Overall, branch angle had the least GxE, followed by density and stem straightness. Growth traits (tree diameter and branch size) tended to be the most interactive with substantial GxE present. Genotype by regional interactions (Mainland versus Tasmania) revealed that density and branch angle had the least interactions (ȓB = 0.98 and ȓB = 0.95, respectively). Branch size and tree diameter had the highest interactions among the two regions (ȓB = 0.55 and ȓB = 0.63, respectively). Within Tasmania, only branch size and tree diameter had a sizable interaction within the three sites. In contrast, there was little interaction for tree diameter among the Mainland trials. Branch size in the Mainland trials had a similar size of interaction as in Tasmania. Further research is recommended in identifying the cause of GxE for tree diameter and branch size in radiata pine across the entire radiata pine estate in Australia.

scholarly journals Exploring Heterosis in Melon (Cucumis melo L.)

Plants ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 282
Author(s):  
Marco Napolitano ◽  
Niccolò Terzaroli ◽  
Subash Kashyap ◽  
Luigi Russi ◽  
Elen Jones-Evans ◽  
...  
Keyword(s):  
Genetic Distance ◽  
Combining Ability ◽  
Central Italy ◽  
Genotype By Environment Interaction ◽  
Least Square ◽  
Soluble Solids ◽  
Environment Interaction ◽  
Gene Effects ◽  
F1 Hybrid ◽  
Mahalanobis Distances

Heterosis is the superiority of an F1 hybrid over its parents. Since this phenomenon is still unclear in melon, a half diallel experiment based on eight genetically distant breeding lines was conducted in six environments of Central Italy, assessing commercially important traits: yield, total soluble solids (TSS), and days to ripening (DTR). To estimate the additive (general combining ability; GCA) and the non-additive gene effects (specific combining ability; SCA), yield was analyzed by Griffing’s methods two and four, and the results were compared to the GGE (Genotype plus Genotype by Environment interaction) biplot methodology; TSS and earliness were evaluated only by Griffing’s method four. Overall, GCAs were significantly more relevant than SCAs for all examined traits. Least square means (LsM), mid-parent heterosis (MPH), best-parent heterosis (BPH), as well as Euclidean and Mahalanobis’ distances were calculated and compared with the genetic distance (GD). As a few correlations were found statistically significant (only for TSS), it was difficult to predict the value of a hybrid combination only by knowing the genetic distance of its parents. Despite this, heterosis was observed, indicating either the presence of epistatic effects (additive × additive interactions) and/or an underestimate of SCAs embedded within Griffing’s method. The significant Env × Entries source of variation suggests development of hybrids in specific environments. The results are discussed with a breeding perspective.

scholarly journals Design of an F1 hybrid breeding strategy for ryegrasses based on selection of self-incompatibility locus-specific alleles

2015 ◽  
Vol 6 ◽  
Author(s):  
Luke W. Pembleton ◽  
Hiroshi Shinozuka ◽  
Junping Wang ◽  
German C. Spangenberg ◽  
John W. Forster ◽  
...  
Keyword(s):  
Breeding Strategy ◽  
Hybrid Breeding ◽  
Self Incompatibility ◽  
F1 Hybrid ◽  
Incompatibility Locus ◽  
Selection Of

scholarly journals GGE-Biplot Analysis of Multi-Environment Yield Trials of Common Bean (Phaseolus vulgaris L.) in the southern Ethiopia

2019 ◽  
Vol 8 (1) ◽  
pp. 35
Author(s):  
Yayis Rezene
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Bean ◽  
Genotype By Environment Interaction ◽  
Breeding Strategy ◽  
Southern Region ◽  
Southern Ethiopia ◽  
Environment Interaction ◽  
Phaseolus Vulgaris L ◽  
Yield Data ◽  
Lattice Design

The present study was conducted on thirty-six common beans (Phaseolus vulgaris L.) Genotypes across six contrasting environments defined for its different soil fertility status and located at the southern Ethiopia. The genotypes were arranged in 6 x 6 triple lattice design and executed for two successive main cropping seasons with the objectives to evaluate yield performance of common bean genotypes and identification of mega environments. GGE (i.e., G = genotype and GE = genotype by environment, interaction) bi-plot methodology was used for graphical presentation of yield data after subjecting the genotypic means of each environment to GGE Bi-plot software. The first two principal components (AXIS 1 and AXIS2) were used to display a two-dimensional GGE bi-plot. Thus, genotypic AXIS1 scores >0 classified the high yielding genotypes while AXIS2 scores <0 identified low yielding genotypes. Unlike genotypic AXIS1, genotypic AXIS2, scores near zero showed stable genotypes whereas large AXIS2 scores classified the unstable ones. The environmental AXIS1 were related to crossover nature of GEI while AXIS2 scores were associated with non-cross over GEI. The six test environments in the southern region were divided in to two distinct mega environments (Mega-1 and 2). Mega-1 constituted GOHF13, ARMF12 and ARLF13 while genotype 14 (SCR10) being the best winner, on the other hand, Mega-2 contained GOHF12 and while common bean genotype 20(SCR17) being the best winner. The results of this study indicated that breeding for specific adaptation should be taken as a breeding strategy in southern region to exploit positive GEI to increase production and productivity of common bean.

scholarly journals Genomic Selection for F1 Hybrid Breeding in Strawberry (Fragaria × ananassa)

2021 ◽  
Vol 12 ◽  
Author(s):  
Eiji Yamamoto ◽  
Sono Kataoka ◽  
Kenta Shirasawa ◽  
Yuji Noguchi ◽  
Sachiko Isobe
Keyword(s):  
Genomic Selection ◽  
Agronomic Traits ◽  
Inbred Lines ◽  
Breeding Strategy ◽  
Hybrid Breeding ◽  
Single Nucleotide ◽  
F1 Hybrid ◽  
Hybrid Seeds ◽  
Pericarp Color ◽  
Model Training

Cultivated strawberry is the most widely consumed fruit crop in the world, and therefore, many breeding programs are underway to improve its agronomic traits such as fruit quality. Strawberry cultivars were vegetatively propagated through runners and carried a high risk of infection with viruses and insects. To solve this problem, the development of F1 hybrid seeds has been proposed as an alternative breeding strategy in strawberry. In this study, we conducted a potential assessment of genomic selection (GS) in strawberry F1 hybrid breeding. A total of 105 inbred lines were developed as candidate parents of strawberry F1 hybrids. In addition, 275 parental combinations were randomly selected from the 105 inbred lines and crossed to develop test F1 hybrids for GS model training. These populations were phenotyped for petiole length, leaf area, Brix, fruit hardness, and pericarp color. Whole-genome shotgun sequencing of the 105 inbred lines detected 20,811 single nucleotide polymorphism sites that were provided for subsequent GS analyses. In a GS model construction, inclusion of dominant effects showed a slight advantage in GS accuracy. In the across population prediction analysis, GS models using the inbred lines showed predictability for the test F1 hybrids and vice versa, except for Brix. Finally, the GS models were used for phenotype prediction of 5,460 possible F1 hybrids from 105 inbred lines to select F1 hybrids with high fruit hardness or high pericarp color. These F1 hybrids were developed and phenotyped to evaluate the efficacy of the GS. As expected, F1 hybrids that were predicted to have high fruit hardness or high pericarp color expressed higher observed phenotypic values than the F1 hybrids that were selected for other objectives. Through the analyses in this study, we demonstrated that GS can be applied for strawberry F1 hybrid breeding.

Genotype-by-environment interaction in Corymbia citriodora (Hook.) K.D. Hill, & L.A.S. Johnson progeny test in Luiz Antonio, Brazil

2020 ◽  
Vol 460 ◽  
pp. 117855
Author(s):  
Bruno Marchetti de Souza ◽  
Miguel Luiz Menezes Freitas ◽  
Alexandre Magno Sebbenn ◽  
Salvador A. Gezan ◽  
Bruna Zanatto ◽  
...  
Keyword(s):  
Genotype By Environment Interaction ◽  
Progeny Test ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Corymbia Citriodora

Initial productivity and genetic parameters of three Corymbia species in Brazil: designing a breeding strategy

2021 ◽  
Vol 51 (1) ◽  
pp. 25-30
Author(s):  
Marcio José de Araujo ◽  
David John Lee ◽  
Evandro Vagner Tambarussi ◽  
Rinaldo Cesar de Paula ◽  
Paulo Henrique Müller da Silva
Keyword(s):  
Genetic Parameters ◽  
Breeding Strategy ◽  
Hybrid Breeding ◽  
Forward Selection ◽  
Annual Increment ◽  
Narrow Sense Heritability ◽  
Species Survival ◽  
Species Population ◽  
The Mean ◽  
Corymbia Citriodora

The survival, initial productivity, and the genetic parameters of Corymbia citriodora subsp. citriodora (CCC), Corymbia citriodora subsp. variegata (CCV), and Corymbia torelliana (CT) were used to develop a breeding strategy for the Corymbia species. Survival, height, and diameter at breast height (DBH) data were assessed 24 and 36 months after planting, and the mean annual volume increment was estimated in three trials. Longitudinal DBH data analysis was applied individually to each trial to identify the best and the poorest families at both ages. The mortality ranged from 5% in CT to 27% in CCC, and the mean annual increment varied from 17.8 to 20 m3·ha−1·year−1 at 36 months after planting. The 36-month narrow-sense heritability [Formula: see text] was high for CCV (0.69 ± 0.17), moderate for CCC (0.41 ± 0.11), and low for CT (0.21 ± 0.09). The genetic parameters indicated the need for different breeding strategies for each species. Selecting the best families while roguing the poor families allowed forward selection of CCC and CCV. It was possible to select good CT trees for hybrid breeding; however, improving the species population requires focusing on increasing the effective size and expanding the genetic variability in the CT population.

scholarly journals Sensitivity of Genotype by Environment Interaction Models to Outlying Observations

2020 ◽  
pp. 29-45
Author(s):  
S. Oluwafemi Oyamakin ◽  
M. Olalekan Durojaiye
Keyword(s):  
Model Evaluation ◽  
Mixed Model ◽  
Genotype By Environment Interaction ◽  
Superior Performance ◽  
Environment Interaction ◽  
Data Types ◽  
Comparative Performance ◽  
Data Contamination ◽  
Genotype By Environment ◽  
Plant Breeding Program

Plant breeding program depends on its ability to provide farmers with genotypes with guaranteed superior performance (phenotype) in terms of yield and/or quality across a range of environmental conditions. To achieve this aim, it is necessary to have an understanding of the model suitable for or leading to a good phenotype. In this study, two cases of scenarios were considered to have a clearer view of the performance of Genotype by Environment Interaction on the following four models; Additive Main Effect and Multiplicative Interaction (AMMI), Finlay Wilkinson (FW), Genotype and Genotype by Environment Interaction (GGE) and Mixed Model. We experiment the inference behind the violation of the assumption of normal distribution by observing the data contamination of two case scenarios (Lowest and Highest outlying observations). It was observed on the two data Types of Balance and Unbalance designs with different Levels of generations. We achieved that by comparative performance of the data contamination techniques under the two case scenarios; Case I scenario was done for Lowest Outlying Observations where 50%, 100% and 500% data contamination on the First Quarter (P1), Mid quarter (P2) and Last Quarter (P3). We then deduced from the result of the model evaluation that, at each levels of data contamination for Balance and Unbalance design, Mixed model was the ideal model for  interaction. Case II scenario was done for Highest Outlying Observations where 50%, 100% and 500% data contamination on the First Quarter (P1), Mid quarter (P2) and Last Quarter (P3) were examined on each levels of generations. We then observed from the result of the model evaluation that, at each levels of data contamination for Balance and Unbalance design, Mixed model also outperformed the other three models.

scholarly journals Variance Components and Correlations between Doubled Haploid Lines from Two European Flint Landraces and Their Corresponding Testcrosses for Gibberella Ear Rot Resistance, Silking Time, and Plant Height in Maize

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1039
Author(s):  
Félicien Akohoue ◽  
David Sewordor Gaikpa ◽  
Bettina Kessel ◽  
Thomas Presterl ◽  
Thomas Miedaner
Keyword(s):  
Plant Height ◽  
Agronomic Traits ◽  
Genotype By Environment Interaction ◽  
Hybrid Breeding ◽  
Environment Interaction ◽  
Ear Rot ◽  
Gibberella Ear Rot ◽  
Dh Lines ◽  
Selection Stage ◽  
First Time

Predicting the resistance of hybrids from lines is a relevant approach for accelerating the improvement of disease resistance in hybrid breeding. In this study, genetic variation and covariation among 76 DH lines from two flint landraces, Kemater (KE) and Petkuser (PE), and their corresponding testcrosses (TC) were estimated for the first time for this material for Gibberella ear rot (GER), days to silking (DS), and plant height (PHT). Lines and TC were evaluated in four and two environments, respectively, under artificial infection with GER. TC were, on average, 42% less GER infected than their lines. TC matured 3–4 days earlier and were about 110 cm taller than the lines. GER resistance was 10% higher in KE lines and TC than PE lines and TC. Significant (p < 0.001) genotypic and genotype-by-environment interaction variances were found for all traits. Genotypic variances were generally smaller among TC than lines. Broad-sense heritability estimates were moderate to high for GER severity (0.56–0.82) and high for DS (0.78–0.88) and PHT (0.86–0.94) with higher values always observed in lines. Significant, moderate correlations between TC and line per se performance were found for GER resistance in both KE and PE (r = 0.37 and 0.55, respectively). For the two agronomic traits, correlations were higher (r = 0.59–0.76) than for GER resistance. Genomic prediction accuracies were moderate to high for GER resistance (r = 0.49–0.63) and generally higher for DS and PHT. In conclusion, a pre-selection of DH lines for GER resistance should be feasible; however, TC should be additionally tested on a later selection stage to aim for GER-resistant hybrid cultivars.

Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Om Prakash Yadav ◽  
A. K. Razdan ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Anjani K. Singh
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Principal Component Axis ◽  
Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

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