scholarly journals Genetic Variation of Growth Traits and Genotype-by-Environment Interactions in Clones of Catalpa bungei and Catalpa fargesii f. duclouxii

Forests ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 57 ◽  
Author(s):  
Yao Xiao ◽  
Wenjun Ma ◽  
Nan Lu ◽  
Zhi Wang ◽  
Nan Wang ◽  
...  
Keyword(s):  
Genetic Variation ◽  
High Stability ◽  
Growth Traits ◽  
Central China ◽  
Variation Coefficient ◽  
High Yield ◽  
Stem Volume ◽  
Gge Biplot ◽  
Biplot Analysis ◽  
Catalpa Bungei

Clones of Catalpa bungei and Catalpa fargesii f. duclouxii were studied over several years in central China to explore genetic variation in growth traits and to identify clones of high wood yield and high stability. The genetic parameters for height, diameter at breast height (DBH), and stem volume of clones, were estimated. The effect of clone × year on the increment of stem volume in the two species was analyzed by genotype and genotype × environment (GGE) biplot methods. Significant differences in growth traits among clones and between species were found. The growth of C. bungei exceeded that of C. fargesii f. duclouxii after 4 years. Furthermore, from the 5th year, the repeatability and genetic variation coefficient (GCV) of the C. bungei clones were higher than those of the C. fargesii f. duclouxii clones in most cases. The phenotypic variation coefficient (PCV) of the C. fargesii f. duclouxii clones was significantly lower than that of the C. bungei clones. The repeatability of stem volume was intermediate or high in the two species. ANOVA revealed significant effects of the clone by year interaction in these two species. GGE biplot analysis revealed that wood yield and stability were largely independent in C. bungei; clones 22-03, 19-27, and 20-01 were the optimal clones in this species. In contrast, the optimal clones 63 and 128 of C. fargesii f. duclouxii combined the desired characteristics of high yield and high stability. In conclusion, our results indicated that the height and stem volume of C. bungei was under strong genetic control, whereas that of C. fargesii f. duclouxii was influenced by the environment more than by genetic effects. Genetic improvement by clone selection can be expected to be effective, as the repeatability of stem volume was high. Francis and Kannenberg’s method and GGE biplot analysis were used in combination to evaluate the clones. C. bungei clone 22-03 and C. fargesii f. duclouxii clones 63 and 128 were identified as the optimal clones, which exhibited both a high increment of stem volume and high stability.

Genotype by environment interaction effect on yield and quality of potatoes

2008 ◽  
Vol 88 (6) ◽  
pp. 1099-1107 ◽  
Author(s):  
Ian Affleck ◽  
J. Alan Sullivan ◽  
R. Tarn ◽  
D. E. Falk
Keyword(s):  
Sugar Content ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
High Yield ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Quality Factors ◽  
French Fry ◽  
Fry Colour ◽  
Biplot Analysis

Colour is an important character in the processing of potatoes for French fries. French fry colour is closely associated with sugar content in the tuber. This study examines the stability of yield, sugar content and French fry colour for eight potato cultivars and advanced selections in four environments. Stability was determined using three approaches based on the Eberhart-Russell, Tai and GGE Biplot analyses. The GGE Biplot analysis provided a better characterization of stability than the other two analyses. The most stable and best performing genotypes for both French fry colour and total sugars were Russet Burbank and Umatilla Russet. Cal White had high yield and yield stability but had average stability for poor (dark) French fry colour. The GGE biplot analysis was able to identify mega-environments and those environments which optimized differentiation between genotypes. Both factors are important for the optimization of resources for testing new genotypes. Stability for quality factors in potato can be as important or more important than yield for some processing uses. In this study, genotypes with stability for sugar content and French fry colour were identified and these may be used as parents in breeding for stability. Key words: Potato, yield stability, quality, French fry

Selection for Growth Traits on M1V1 Generation of Raja Bulu Banana (Musa paradisiaca Linn.) Obtained by Gamma Rays Irradiation

2020 ◽  
Vol 36 (1) ◽  
pp. 97
Author(s):  
Nandariyah Nandariyah ◽  
Endang Yuniastuti ◽  
Sukaya Sukaya ◽  
Sonia Ika Yudhita
Keyword(s):  
Genetic Variation ◽  
Gamma Rays ◽  
Gamma Ray ◽  
Growth Traits ◽  
Block Design ◽  
Mutation Breeding ◽  
High Yield ◽  
Early Maturity ◽  
Musa Paradisiaca ◽  
Gamma Ray Irradiation

<p><a name="_Hlk39513249"></a><span lang="EN-US">Raja Bulu is one of the banana varieties favored by the community because of its thick fruit flesh and sweet taste. However, its parthenocarpic characteristic and vegetative propagation make this banana variety has limited genetic variation. Attempt to improve the genetic variation was conducted through induced mutation breeding using gamma-ray mutagens. This research aimed to select M1V1 generation of Raja Bulu banana (<em>Musa paradisiaca</em> Linn.) obtained by gamma rays’ irradiation for their growth traits which are expected to produce banana varieties that have an early maturity and high yield. This study used a randomized complete block design without replication by observing the generative growth of each individual of Raja Bulu banana irradiated by gamma rays and without radiation as a control. The results showed that gamma-ray irradiation treatment caused Raja Bulu banana to be harvested earlier and produced higher fruit weight than controls. The gamma-ray irradiation had a random influence on Raja Bulu bananas. The 10 Gy gamma-ray irradiation dosage influenced the morphological diversity in the generative phase of Raja Bulu banana. The treatment of gamma irradiation resulted in 5 individual plants that flowered and matured earlier as compared to controls</span><span lang="IN">.</span></p>

Genetic variation of leaf traits related to productivity in a Populus deltoides × Populus nigra family

2006 ◽  
Vol 36 (2) ◽  
pp. 390-400 ◽  
Author(s):  
Nicolas Marron ◽  
Reinhart Ceulemans
Keyword(s):  
Genetic Variation ◽  
Leaf Area ◽  
Populus Deltoides ◽  
Growth Traits ◽  
Volume Growth ◽  
Leaf Traits ◽  
Populus Nigra ◽  
Hybrid Vigor ◽  
Stem Volume ◽  
Individual Leaf

In breeding and selection, two of the main goals of hybridization are to combine favourable traits from different species and to obtain high hybrid vigor (or heterosis). The objectives of our study were (1) to determine which leaf traits are most closely linked to growth in a cross between Populus deltoides Bartr. ex Marsh. and Populus nigra L. and (2) to estimate the relevance of this cross for selection of highly productive genotypes. To achieve these objectives, 26 poplar F1 hybrids and their parents were studied during their second growing season in central France. Tree growth (i.e., growth rates of stem height, circumference, and volume) was monitored during 1 month, and leaf traits (i.e., increases in number of leaves, maximum individual leaf area, specific leaf area, petiole length, and dry mass, leaf carbon and nitrogen contents, and internode length) were estimated at the end of the 1-month period. Growth traits were tightly correlated to most of the leaf traits. More precisely, it appeared that stem volume growth rate can be decomposed into two single leaf characteristics: maximum individual leaf area and leaf increment rate. All traits showed moderate values of broad-sense heritability. Heterosis as well as coefficients of genetic variation were also modest.

scholarly journals GGE-Biplot Analysis for Soybean Varieties Suitability in an Agroforestry System based on Kayu Putih Stands

2019 ◽  
Vol 34 (2) ◽  
pp. 213
Author(s):  
Taufan Alam ◽  
Priyono Suryanto ◽  
Aprilia Ike Nurmalasari ◽  
Budiastuti Kurniasih
Keyword(s):  
Soil Type ◽  
Block Design ◽  
Dry Weight ◽  
Agroforestry System ◽  
High Yield ◽  
Gge Biplot ◽  
Biplot Analysis ◽  
Randomized Complete Block Design ◽  
The Mean ◽  
Special Region

<p>The existence of genotype and environment (G x E) interaction causes difficulty in selecting suitable varieties of soybean in an agroforestry system based on <em>kayu putih</em> stands. This study aimed to determine the suitability of adaptive, stable and high yield soybean varieties in an agroforestry system based on <em>kayu putih</em> stands by using GGE-Biplot analysis. The experiment was conducted from May to August 2018 at Menggoran Forest Resort, Playen District, Gunung Kidul Regency, Special Region of Yogyakarta, Indonesia. The experiment was conducted using a randomized complete block design (RCBD) with five block as replications. The first factor was soil type in Menggoran Forest Resort, consisting of Lithic Haplusterts, Vertic Haplustalfs and Ustic Endoaquerts. The second factor was soybean varieties, consisting of Anjasmoro, Argomulyo, Burangrang, Dering I, Devon I, Gema and Grobogan. The observation was carried out on seed dry weight of soybean per hectare. The data were analyzed using Combined Analysis of Variance (ANOVA) with α = 5% and GGE-Biplot. Dering I was the most suitable varieties in an agroforestry system based on <em>kayu putih</em> stands and showed the mean of highest yield of 1.22 tons ha<sup>-1</sup>.</p>

scholarly journals GGE Biplot Analysis for Yield Stability in Multi-environment Trials of Promising Hybrid Rice (Oryza sativa L.)

2015 ◽  
Vol 19 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Anowara Akter ◽  
M Jamil Hasan ◽  
Umma Kulsum ◽  
MH Rahman ◽  
M Khatun ◽  
...  
Keyword(s):  
Grain Yield ◽  
Oryza Sativa L ◽  
High Yield ◽  
Gge Biplot ◽  
Yield Data ◽  
Biplot Analysis ◽  
Stability Performance ◽  
Sources Of Variation ◽  
The Difference ◽  
Ideal Genotype

The genotype and genotype by environment biplot model is an excellent tool for visual multi-environment trials data analysis. In this study we investigated grain yield of six rice genotypes (three tested, one released hybrids and two inbred check varieties) in five environments. The combined analysis of variance for grain yield data indicated that the differences among all sources of variation were highly significant (P<0.001). Environment (E), Genotype (G) and G × E interaction effects accounted for 12.49, 76.51 and 10.21% of the total sum of squares respectively. The first two principal components (PC1 and PC2) were used to display a two-dimensional GGE biplot. Thus, genotypic PC1 scores>0 classified the high yielding genotypes while PC1 scores<0 identified low yielding genotypes. Unlike genotypic PC1, genotypic PC2 scores discriminated the unstable ones. The GGE biplot analysis was useful in identifying stable genotypes with high yield performance. In this study, the polygon view of GGE biplot showed that the vertex genotypes were BRRI1A/BR168R (G1), BRRI10A/BRRI10R (G2) and BRRI dhan28 (G5) having the largest distance from the origin, which was most discriminated genotypes with the unstable ones. These vertex genotypes BRRI1A/BR168R (G1) and BRRI10A/BRRI10R (G2) gave higher yield (PC1 scores>0) while another vertex genotype BRRI dhan28 (G5) produced low yield (PC1 score<0). Hence, the vertex genotype BRRI10A/BRRI10R (G2) was high yielding for all environments and it fell into section 1 following IR58025A/BRRI10R (G3) and BRRI hybrid dhan1 (G4). Mean yield and stability performance over environments of each genotype is explored by using the average environment (tester) coordinate (AEC) methods. These methods show that the genotypes BRRI10A/BRRI10R (G2), IR58025A/BRRI10R (G3) and BRRI hybrid dhan1 (G4) had higher stability as well as higher mean yield while the genotype IR58025A/BRRI10R (G3) had the highest stability out of these three genotypes. The ideal genotype biplot suggests that the closer to ‘ideal’ genotype was IR58025A/BRRI10R (G3) followed by G2 and G4 being more desirable than the other genotypes. Similarly, the environment Barisal (E3) was ‘ideal’ environment followed by E1 (Gazipur), E2 (Comilla) and E5 (Satkhira). Hence, the environment Barisal (E3) is more stable and suitable for all genotypes following Satkhira (E5) because it has large PC1 and small PC2 score but Rangpur (E4) is a discriminating environment because it has large PC2 score. The interrelationship among the environments according to the small angles of test environments was highly positively correlated. Gazipur (E1), Comilla (E2), Barisal (E3) and Satkhira (E5) were closely correlated with small angles but Rangpur (E4) had medium long angles. Comparison between two genotypes showed that BRRI10A/BRRI10R (G2) and IR58025A/BRRI10R (G3) were high yielder in test environments. Thus, the difference between G2 and G3 was relatively small in test environments.Bangladesh Rice j. 2015, 19(1): 1-8

Genotype × environmental interaction by AMMI and GGE biplot analysis for the provenances of Michelia chapensis in South China

2015 ◽  
Vol 27 (3) ◽  
pp. 659-664 ◽  
Author(s):  
Runhui Wang ◽  
Dehuo Hu ◽  
Huiquan Zheng ◽  
Shu Yan ◽  
Ruping Wei
Keyword(s):  
South China ◽  
Gge Biplot ◽  
Environmental Interaction ◽  
Biplot Analysis

Restriction of soil bacteria promoting high yield of super hybrid rice in the Huaihe Valley in central China by conventional ploughing intensity

2021 ◽  
Vol 214 ◽  
pp. 105169
Author(s):  
Ye Liu ◽  
Jing Zhang ◽  
Zihao Wang ◽  
Wenjing Ke ◽  
Liuhang Wang ◽  
...  
Keyword(s):  
Soil Bacteria ◽  
Hybrid Rice ◽  
Central China ◽  
High Yield ◽  
Super Hybrid Rice

scholarly journals Adaptability, stability, productivity and genetic parameters in slash pine second-generation families in early age

2016 ◽  
Vol 65 (1) ◽  
pp. 71-82 ◽  
Author(s):  
M.K. Pagliarini ◽  
W.S. Kieras ◽  
J.P. Moreira ◽  
V.A. Sousa ◽  
J.Y. Shimizu ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Genetic Parameters ◽  
Second Generation ◽  
Growth Traits ◽  
Environmental Influence ◽  
Block Design ◽  
Slash Pine ◽  
Phenotypic Traits ◽  
Early Age ◽  
Wood Volume

AbstractThe study was conducted to estimate the stability, adaptability, productivity and genetic parameters in Slash pine second-generation half-sib families, considering phenotypic traits in early age. Forty-four families from a first generation seed orchard in Colombo-PR, Brazil, were used in this study. Two progenies tests were established in a randomized complete block design. The first test was implemented in March 2009 in Ribeirão Branco, São Paulo state, containing 40 blocks, one tree per plot, 44 treatments (progenies) and 6 controls. Another test was implemented in Ponta Grossa, Paraná state, using the same experimental design and number of plants per plot, and with 24 treatments, 32 blocks. The growth traits evaluated were total height, diameter at breast height (dbh) and wood volume, within five years. The form traits evaluated were stem form, branch thickness, branch angle, number of branches, fork and fox tail five years after planting. Deviance analysis and estimates of stability, adaptability, productivity and genetic parameters were performed using the methods of best linear unbiased predictor (BLUP) and residual maximum likelihood (REML). There was significant variation among progenies for growth and form traits. Considerable genetic variation was detected mainly for wood volume. High coefficients of genetic variation and heritability showed low environmental influence on phenotypic variation, which is important for the prediction of genetic gain by selection. Crosses between different progenies individuals groups will be prioritized for obtaining heterotics genotypes and increase the probability of obtaining high specific combining ability.

Formation, Optical Properties and Applications of Edge Gold-Coated Silver Nanoprisms

2015 ◽  
Vol 1737 ◽  
Author(s):  
Mohammad M. Shahjamali ◽  
Michael Salvador ◽  
Negin Zaraee
Keyword(s):  
High Stability ◽  
Light Harvesting ◽  
Strong Field ◽  
Field Enhancement ◽  
Localized Surface Plasmon ◽  
High Yield ◽  
Bulk Heterojunctions ◽  
Silver Nanoprisms ◽  
Photovoltaic Applications ◽  
Microscopic Techniques

ABSTRACTA facile, high-yield synthesis of edge gold-coated silver nanoprisms (GSNPs) with a gold nanoframe as thin as 1.7 nm and their comprehensive characterizations by using various spectroscopic and microscopic techniques is introduced. The GSNPs exhibit remarkably higher stability than silver nanoprisms (SNPs) and are therefore explored as effective optical antennae for light-harvesting applications. When embedded into a bulk heterojunctions film of P3HT:PCBM, plasmonic GSNPs with a localized surface plasmon resonance (LSPR) around 500 nm can effectively act as optical antennae to enhance light harvesting in the active layer. As a result, we measured up to 7-fold enhancement in the polaron generation yield through photoinduced absorption spectroscopy. Owing to the high stability and strong field enhancement, the presented GSNPs feature great potential as plasmonic probes for photovoltaic applications and LSPR sensing.

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