scholarly journals GENETIC PARAMETERS OF Eucalyptus spp. CLONES IN NORTHEASTERN BRAZIL

FLORESTA ◽  
2020 ◽  
Vol 50 (2) ◽  
pp. 1267 ◽  
Author(s):  
Rodrigo Andrade Furlan ◽  
Evandro Vagner Tambarussi ◽  
Cristiano Bueno Moraes
Keyword(s):  
Drought Tolerance ◽  
Genetic Parameters ◽  
Growth Traits ◽  
Block Design ◽  
Northeastern Brazil ◽  
Soil Conditions ◽  
Environment Interaction ◽  
Mato Grosso ◽  
Genotype X Environment ◽  
Randomized Complete Block Design

Brazil is the largest charcoal producers in the world, with the main centers of charcoal consumption located in the states of Minas Gerais, Mato Grosso do Sul, Espírito Santo, Maranhão, and Pará. Planting of Eucalyptus in the northern and northeastern states of Brazil is relatively new and is limited the lack of genetic materials adapted to the region’s high temperatures and severe, prolonged periods of drought. The objective of this study was to assess the genetic parameters and variability and determine the genotype x environment interaction for drought tolerance in Eucalyptus clonal tests established in two environments in the municipality of Grajaú, Maranhão State, Brazil. The tests were planted in January 2011 in clayey and sandy soils in a randomized complete block design with 130 clones, one plant per plot, and 20 replicates. The studied clones showed high genetic variability for drought tolerance, with coefficients of relative variance () consistently greater than 0.8 for DBH and volume. This indicates high levels of genetic control and less influence of environmental factors on the phenotype, which allows for selection and obtaining gains through breeding. Heritability estimates were high for growth traits, with average clone heritabilities () greater than 0.85, as well as acuracies () above 0.9 for DBH and volume in clone selection. There was a simple interaction between genotype x environment for the clones under the two different soil conditions.

scholarly journals Genotype X Environment Interaction of Food Barley

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype Effect ◽  
Environment Effects ◽  
Randomized Complete Block Design ◽  
Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

Yield performance stability of adapted and improved cowpea in the Equatoria region of South Sudan

2019 ◽  
Author(s):  
Tony Ngalamu ◽  
Silvestro Meseka ◽  
James Odra Galla ◽  
Nixon James Tongun ◽  
Newton W. Ochanda ◽  
...  
Keyword(s):  
Block Design ◽  
South Sudan ◽  
Yield Stability ◽  
Environment Interaction ◽  
Analysis Method ◽  
Genotype X Environment ◽  
Production Constraints ◽  
Stability Performance ◽  
Randomized Complete Block Design ◽  
Main Production

Cowpea is an important food crop with high nutritional and socio-economical values in South Sudan. However, the lack of improved varieties is one of the main production constraints. This study was undertaken to assess the yield stability performance of improved cowpea genotypes across six environments in South Sudan in 2014 and 2015. Nine genotypes were evaluated in a randomized complete block design with three replications. Genotype and genotype x environment biplot analysis method was used to determine yield stability. Highly significant (p less than 0.001) genotype x environment interaction effect was detected for seed yield. IT90K-277-2 had the highest while ACC004 had the lowest grain yield. Palotaka was as highly discriminating and repeatable environment compare to the other testing sites. IT07K-211-1-8 and Mading Bor II were the most responsive genotypes, while IT90K-277-2 was the most stable high yielding genotype across the test environments and can be grown by farmers across the region.

scholarly journals Adaptability and phenotypic stability of sugarcane clones

2018 ◽  
Vol 53 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Jiuli Ani Vilas Boas Regis ◽  
João Antonio da Costa Andrade ◽  
Adriano dos Santos ◽  
Aparecido Moraes ◽  
Rafael William Romo Trindade ◽  
...  
Keyword(s):  
Block Design ◽  
Saccharum Officinarum ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Phenotypic Stability ◽  
Genotype X Environment ◽  
Randomized Complete Block Design ◽  
Ideal Genotype ◽  
The Ideal

Abstract: The objective of this work was to select superior sugarcane (Saccharum officinarum) clones with good stability and adaptability, considering the genotype x environment interaction in two productive cycles. Twenty-five early clones plus five control clones were evaluated during two cuts (ratoon cane and plant cane) in 24 environments. A randomized complete block design was used, with three replicates. Tons of stems per hectare and tons of pol per hectare were evaluated. To verify adaptability and stability, the bisegmented regression and the multivariate (AMMI and GGE biplot) methods were used. According to the three methods, which are complementary regarding the desired information, the most promising clones in terms of stability and general adaptability are G5, G12, and G13; the last two are closest to the ideal genotype. The G13 clone is highly productive in favorable and unfavorable environments, presenting the highest averages for ton of stems and pol per hectare. The G3, G4, G10, G15, G17, G18, G22, G23, G25, G26, and G30 clones are not recommended for the 24 evaluated environments.

scholarly journals Selection of corn cultivars for yield, stability, and adaptability in the state of Amazonas, Brazil

2017 ◽  
Vol 52 (6) ◽  
pp. 455-463 ◽  
Author(s):  
Inocencio Junior de Oliveira ◽  
André Luiz Atroch ◽  
Miguel Costa Dias ◽  
Lauro José Guimarães ◽  
Paulo Evaristo de Oliveira Guimarães
Keyword(s):  
Grain Yield ◽  
Genetic Parameters ◽  
Block Design ◽  
The State ◽  
Environment Interaction ◽  
Growing Seasons ◽  
Randomized Complete Block Design ◽  
Selection For ◽  
Genetic Value ◽  
Selection Of

Abstract: The objective of this work was to evaluate corn cultivars grown in the state of Amazonas, Brazil, which simultaneously show high grain yield, adaptability, and stability. The trials were carried out in seven environments in the state of Amazonas, in a randomized complete block design, with two replicates. The grain yield of 30 corn cultivars was evaluated in four growing seasons, from 2011/2012 to 2014/2015. The genetic parameters were estimated by the REML/Blup methodology. The selection for adaptability and stability was based on the predicted genetic value and on the harmonic mean of the relative performance of the genetic values. Despite the existence of genotype x environment interaction, cultivars with high adaptability and stability were identified. Iranduba - lowland, in 2011/2012 and 2014/2015 - and Rio Preto da Eva - upland, in 2012/2013 - stood out as favorable environments, while Iranduba - upland, in 2011/2012 and 2012/2013 - and Manaus - upland, in 2012/2013 and 2013/2014 - were classified as unfavorable environments. The single-cross hybrid BRS 1055 showed productive superiority and high stability in this region. The Sint 10771, Sint 10781, and Sint 10699 synthetic varieties showed high adaptability. BRS Caimbé shows specific adaptability to cropping in upland environments of the state of Amazonas, Brazil.

scholarly journals Genotype and environment interaction on soybean yield in Mato Grosso State, Brazil

2006 ◽  
Vol 41 (5) ◽  
pp. 785-791 ◽  
Author(s):  
José Francisco Ferraz de Toledo ◽  
Cláudio Guilherme Portela de Carvalho ◽  
Carlos Alberto Arrabal Arias ◽  
Leones Alves de Almeida ◽  
Rodrigo Luis Brogin ◽  
...  
Keyword(s):  
Block Design ◽  
Environment Interaction ◽  
Mato Grosso ◽  
Soybean Yield ◽  
Cultivar Development ◽  
Genotype Environment Interaction ◽  
Sowing Dates ◽  
Randomized Complete Block Design ◽  
North And South ◽  
Made In

The objective of this work was to investigate the genotype-environment interaction in Mato Grosso State, MT. The relative importance of locations, years, sowing dates and cultivars and their interactions was analyzed from data collected in regional yield trials performed in a randomized complete block design with four replications, from 1994-1995 through 1999-2000, in nine locations and two sowing dates. Individual and pooled analyses of variance over years and locations were performed. Complementary analyses of variances partitioned MT State in two main and five smaller regions, respectively: North and South of Cuiabá; and MT-South-A (Pedra Preta area), MT-South-B (Rondonópolis and Itiquira), MT-East (Primavera do Leste and Campo Verde), MT-Central (Nova Mutum, Lucas do Rio Verde and Sorriso) and MT-Parecis (Campo Novo dos Parecis and Sapezal). Locations are relatively more important than years for yield testing soybeans in the MT State, therefore, investment should be made in increasing locations rather than years to improve experimental precision. Partitioning the MT State into regions has little impact on soybean yield testing results and, consequently, on the efficiency of the soybean breeding program in the State. Breeding genotypes with broad adaptation for the MT State is an efficient strategy for cultivar development.

scholarly journals Hasil dan Komponen Hasil Galur-Galur Kedelai di Dua Lokasi

2016 ◽  
Vol 44 (1) ◽  
pp. 26 ◽  
Author(s):  
Heru Kuswantoro ◽  
Lestari Ujianto ◽  
Apri Sulistyo ◽  
Dan Ratri Tri Hapsari
Keyword(s):  
Yield Components ◽  
Block Design ◽  
Environment Interaction ◽  
Average Yield ◽  
Genotype X Environment ◽  
Randomized Complete Block Design ◽  
Yield And Yield Components ◽  
Days To Maturity ◽  
Check Variety ◽  
Multilocation Trials

ABSTRACT<br /><br />Genotype x environment interaction always presents in soybean multilocation trials in Indonesia. The objective of the research was to determine the performance of yield and yield components of soybean promising lines in two locations. A total of 11 promising lines, and three check varieties (Tanggamus, Wilis, and Anjasmoro) were evaluated in NTB and DIY in dry season 2013. The design was randomized complete block design with three replications. The results showed that yield and yield components were influenced by locations, genotypes and genotypes x locations interaction, except for days to maturity which was not influenced by the location. Number of filled pods had a significant positive correlation with grain yield of soybean. TGM/Anj-773 line had high average yield at two locations and higher than the check variety (Tanggamus).<br /><br />Keywords: correlation, genotype x environment, Glycine max

scholarly journals Adaptability and stability of cowpea genotypes via REML/BLUP and GGE BIPLOT

2019 ◽  
Vol 35 (4) ◽  
Author(s):  
Hadassa Kathyuci Antunes de Abreu ◽  
Gessi Ceccon ◽  
Agenor Martinho Correa ◽  
Ricardo Fachinelli ◽  
Euriann Lopes Marques Yamamoto ◽  
...  
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
The State ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Mato Grosso ◽  
Genotype By Environment ◽  
Randomized Complete Block Design ◽  
Superior Genotypes ◽  
Mato Grosso Do Sul

Several methodologies have been proposed in order to measure the influence that genotype-by-environment interaction exerts on the various characters of interest. The mixed models using REML/BLUP and GGE Biplot have been mentioned as advantageous to identify superior genotypes. The use of environmental information can be useful to find the factors that are in the real difference between the genotypes. The objective of this study was to compare statistical methodologies for the adaptability and stability analysis of cowpea genotypes in value for cultivation and use testings. The experiments were carried out from March to July 2016 and 2017, in the municipalities of Dourados and Aquidauana.  A randomized complete block design was used, with 14 genotypes and four replicates, 12 advanced lines and two commercial cultivars. After detecting significant genotype-by-environment interaction, the adaptability and phenotypic stability of cowpea genotypes were analyzed by the GGE Biplot and REML/BLUP. Both methodologies were concordant in the identification of the best cowpea genotypes for the State of Mato Grosso do Sul. The genotypes 6 (Pingo-de-ouro 1-5-4), 10 (Pingo-de-ouro 1-5-10) and 8 (Pingo-de-ouro 1-5-7) are the most suitable to be grown in the State, because they have gathered high grain yield, adaptability and stability.

scholarly journals Similarity networks for the classification of rice genotypes as to adaptability and stability

2020 ◽  
Vol 55 ◽  
Author(s):  
Gabi Nunes Silva ◽  
Antônio Carlos da Silva Júnior ◽  
Isabela de Castro Sant’Anna ◽  
Cosme Damião Cruz ◽  
Moysés Nascimento ◽  
...  
Keyword(s):  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Irrigated Rice ◽  
Genotype X Environment ◽  
Productivity Data ◽  
Statistical Measures ◽  
Randomized Complete Block Design ◽  
Similarity Networks

Abstract: The objective of this work was to evaluate the similarity network graphic methodology for the classification of flood-irrigated rice (Orzya sativa) genotypes regarding their adaptability and stability. Two statistical measures were used to represent the proximity of the behavior (based on Pearson’s correlation) or values (based on Gower’s distance) between pairs of genotypes or between genotype and environment. Productivity data of 18 genotypes were evaluated in three locations in the state of Minas Gerais, Brazil, in the harvests of 2012/2013, 2013/2014, 2014/2015, and 2015/2016, in a randomized complete block design. The genotypes were previously assessed for adaptability and stability by the Eberhart & Russell and centroid methods. The graphical representations provided by the similarity networks allowed to better identify the pattern of the genotype x environment interaction, overcoming the interpretation difficulties due to the disagreements between the results obtained by the Eberhart & Russell and centroid methods. The similarity networks improve genotype x environment interaction studies.

scholarly journals Genotype x Environment Interaction and Stability Analysis in Okra [Abelmoschus esculentus (L.) Moench] in Cameroon

2020 ◽  
pp. 1-15
Author(s):  
Dabandata Célestin ◽  
Ngalle Hermine Bille ◽  
Nsimi Mva Armand ◽  
Ndiang Zenabou ◽  
Likeng L. I. Ngue Bénoit- Constant ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Block Design ◽  
Performance Measure ◽  
Genotype X Environment Interaction ◽  
Abelmoschus Esculentus ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Randomized Complete Block Design ◽  
Peduncle Length ◽  
The Stability

A study was conducted to assess genotype x environment interaction and also to determine stability of okra (Abelmoschus esculentus L. Moench) genotypes for nine traits in Cameroon. Eight okra genotypes (including five parents of Cameroon and three exotics) were evaluated across three different locations (Dibang, Yagoua and Yaounde) using a randomized complete block design (RCBD) with three replications. Each plot consisted of three rows of six plants each. Genotype x environment interaction has been evaluated using SAS Software.  There was considerable variation for all traits studied among both genotypes and environments. Five different methods of stability analysis have been used for the comparison of the genotypes and also to determine the most suitable stability parameter of okra. The stability in relation to the characters is independent of the genotypes. A total correspondence (r=1) exist between the general mean and the Pi performance for characters such as 50 % flowering and the fruit peduncle length. For, the procedure of Lin and Binns appeared to be more of a genotype performance measure, rather than a stability measure. The Wricke’s and Shukla’s procedures of stability statistic showed the highest significant positive correlation (P<0.01) with the majority of the studied character. That makes these procedures equivalent for ranking purposes.

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