scholarly journals AMMI Stability Analysis and Estimation of Genetic Parameters for Growth and Yield Components in Cassava in the Forest and Guinea Savannah Ecologies of Ghana

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Joseph Adjebeng-Danquah ◽  
Joseph Manu-Aduening ◽  
Vernon Edward Gracen ◽  
Isaac Kwadwo Asante ◽  
Samuel Kwame Offei
Keyword(s):  
Block Design ◽  
Sum Of Squares ◽  
Yield Stability ◽  
Growth And Yield ◽  
High Yield ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Dry Matter Content ◽  
Root Yield ◽  
Ammi Analysis

Twenty cassava genotypes were arranged in a randomised complete block design with three replications and assessed for growth and yield stability using the additive main effect and multiplicative interaction (AMMI) analysis. Highly significant (P<0.001) effects of genotype, environment, and genotype ⁎ environment interaction were observed for all traits studied. The AMMI analysis of variance indicated that genotype accounted for 51% of the total sum of squares for height at first branching followed by environment (33%) and interaction (15%). For fresh root yield, environment effects accounted for 37% of the total sum of squares, whilst genotype and interaction accounted for 32% and 29%, respectively. Genotypic variances for harvest index (HI), plant height, storage root yield, and dry matter content contributed a greater proportion of the phenotypic variance indicating stronger genetic control. This suggests better chance of progress in the genetic improvement of these traits. Genotype MM96/1751 combined high yield with stability according to the yield stability index ranking across environments. On the other hand genotypes UCC 2001/449 and 96/1708 though high yielding were unstable according to AMMI stability value scores. However they can be tested further in more environments to ascertain their specific adaptability for release to farmers for cultivation to boost cassava production and ensure food security.

scholarly journals Genotype × Environment Interaction of Mosaic Disease, Root Yields and Total Carotene Concentration of Yellow-Fleshed Cassava in Nigeria

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Norbert G. Maroya ◽  
Peter Kulakow ◽  
Alfred G. O. Dixon ◽  
Busie B. Maziya-Dixon
Keyword(s):  
Block Design ◽  
Matter Content ◽  
Mosaic Disease ◽  
Sum Of Squares ◽  
Cassava Mosaic Disease ◽  
Environment Interaction ◽  
Dry Matter Content ◽  
Root Yield ◽  
Genotype Environment Interaction ◽  
Agroecological Zones

Twenty-one yellow-fleshed cassava genotypes were evaluated over two years in five major cassava growing agroecological zones in Nigeria. The trials were established in a randomized complete block design with four replications to assess genotype performance and Genotype × Environment interaction for cassava mosaic disease (CMD), fresh and dry root yield (FYLD; DYLD), root dry matter content (DMC), and total carotene concentration (TCC). Combined analysis of variance showed significant differences (P<0.001) among genotypes (G), environment (E), and Genotype × Environment interaction (GE) for all the traits tested. For reaction to CMD, the best genotypes showing stable resistance were TMS 07/0539 and TMS 07/0628. For root yield, the best genotypes were TMS 01/1368 and TMS 07/0553. Genotype TMS 07/0593 was the best for DMC and TCC across the 10 environments. Variation among genotypes accounted for most of the Total Sum of Squares for CMD (72.1%) and TCC (34.4%). Environmental variation accounted for most of the Total Sum of Squares for FYLD (42.8%), DYLD (39.6%), and DMC (29.2%). This study revealed that TMS 07/0593 has the highest and most stable TCC, DMC with the lowest CMD severity score and appeared to be the best genotype.

scholarly journals Assessment of Tuber Yield Stability and Adaptability of Some Elite Yam Genotypes in the Guinea Savannah Ecology of Northern Ghana

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Joseph Adjebeng-Danquah ◽  
Kwabena Acheremu ◽  
Emmanuel Boachie Chamba ◽  
Freda Ansaah Agyapong ◽  
Alhassan Sayibu
Keyword(s):  
Yield Components ◽  
Tuber Yield ◽  
Block Design ◽  
Genotypic Variation ◽  
Sum Of Squares ◽  
Yield Stability ◽  
Northern Ghana ◽  
Environment Interaction ◽  
Genotype Effect ◽  
Gxe Interaction

Studies were conducted to determine tuber yield stability and adaptability of some elite yam (Dioscorea sp.) genotypes in northern Ghana. Ten elite exotic yam genotypes alongside one locally cultivated farmer-preferred variety, Laribako, were grown in five environments between 2010 and 2012. These 11 genotypes were arranged in a randomised complete block design with three replications and assessed for tuber yield and yield components. Analysis of variance indicated significant p < 0.05 genotypic variation for tuber yield and the yield components studied. Genotype × environment interaction effect was significant p < 0.05 for tuber yield and mean tuber weight but not significant p > 0.05 for number of tubers per mound. Apart from genotype 95/18922, all the exotic genotypes had significantly p < 0.05 higher tuber yields than the local check, Laribako. The highest tuber yield (16.03 t ha−1) across environments was obtained from 96/19158 followed by 95/00594 (14.9 t ha−1). According to the additive main effect multiplicative interaction (AMMI) analysis, genotype (G), environment (E), and GxE interaction, respectively, explained 39.71%, 36.03%, and 24.26% of the total sum of squares for tuber yield. For number of tubers per plant, GxE effect explained the greatest percentage (60.46%) of the total sum of squares compared to genotype effect (22.00%) and environment effect (17.54%). The local variety, Laribako, was more stable across all environments though low yielding compared to the exotic genotypes. Three genotypes, 95/19158, 95/19177, and 96/02025, were more stable across environments than the other exotic genotypes. Genotype 95/18544 was the most sensitive and for that matter responded positively in the favorable environments. The study identified genotypes with specific and general adaptation potential across different environments for tuber yield that can be further tested in on-farm trials for possible release.

Additive Main Effects and Multiplicative Interactions (AMMI) Analysis of Growth of Half-sib Families of Eucalyptus camaldulensis Across Environments

2017 ◽  
Vol 104 (4 - 6) ◽  
Author(s):  
Chandrasekar R ◽  
◽  
Vinothkumar A ◽  
Smitha G. Nair ◽  
Sivakumar V ◽  
...  
Keyword(s):  
Block Design ◽  
Eucalyptus Camaldulensis ◽  
Principal Component ◽  
High Yield ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Wide Range ◽  
Ammi Analysis ◽  
Sib Families ◽  
Main Effects

 To determine the stability in yield and estimate the extend of genotype x environment interaction of half sib progenies of Eucalyptus camaldulensis across different locations, 48 half sib families and 2 clones were evaluated in a randomized block design (RBD) with 4 replications at four locations viz., Marakkanam, Thiyagadurgam, Karaikudi and Pulvayal after three years of planting during 2013. Additive main effects and multiplicative interactions (AMMI) analysis indicated that the growth of half sib families were under the major effects of genotype x environment interactions. The first two principal component axes (PCA 1 and 2) were significant (P≤ 0.01) and cumulatively contributed to 88.0% of the total genotype by environment interaction. The biplot technique was used to identify appropriate half-sib families to specific locations. Results showed that families 23, 7, 57 and 40 expressed high stability in performance across environments. Families 74, 92, 36, 88, 30 and 70 exhibited high yield in which environment potential. Family 36 and 74 showed low interaction with high growth performance and can be recommended for a wide range of environments. The families 30, 70 and 92 were having high productivity. Similarly the interaction with environment was also high. Hence, these families can be recommended for specific environments. The locations Marakkanam and Thiyagadurgam were found to be related and completely different from Karaikudi and Pulvayal. According to stability Pulvayal was found to be more stable environment and can be used for breeding programs. Families 30 and 92 are unstable families, however they are specifically adapted to high yielding environment, Marakkanam

scholarly journals Assessment of sugar beet root yield by AMMI analysis

Genetika ◽  
2017 ◽  
Vol 49 (2) ◽  
pp. 663-675 ◽  
Author(s):  
Mihajlo Ciric ◽  
Zivko Curcic ◽  
Milan Mirosavljevic ◽  
Ana Marjanovic-Jeromela ◽  
Goran Jacimovic ◽  
...  
Keyword(s):  
Sugar Beet ◽  
Mineral Nutrition ◽  
High Yield ◽  
Fertilizer Treatment ◽  
Environment Interaction ◽  
Root Yield ◽  
Beet Root ◽  
Growing Seasons ◽  
Genotype Environment Interaction ◽  
Ammi Analysis

Sugar beet cultivars have different responses in various environments, such as different locations, years, mineral nutrition treatments or the combination of these factors, due to genotype ? environment interaction. Additive main effect and multiplicative interaction (AMMI) is one of the most commonly used multivariate methods for analysis and visualization of genotype ? environment interaction data. The main goals of the present study were to (i) investigate the application of AMMI method in the analysis of genotype ? fertilizer interaction in sugar beet, (ii) to assess genotype ? fertilizer interaction, and (iii) to identify sugar beet cultivars with the most stable response and high yield performance across different mineral nutrition treatments. The trial with eight sugar beet cultivars was conducted in two successive growing seasons at Rimski sancevi, Serbia. The different levels of nitrogen, phosphorous and potassium fertilizers (0, 50, 100 and 150 kg ha-1) and their combinations represented specific environments for testing genotype ? fertilizer interaction. Results from the analysis of variance indicated that the fertilizer treatment, cultivars, and their interaction significantly affected root yield variation in both seasons. Results from our study suggest that AMMI model with two and three first IPCA axes were recommended in 2014 and 2015, respectively. According to AMMI 1 and AMMI 2 biplot, E14 and E15 were high yielding and among the most stable treatments in both years. Among high yielding genotypes in 2014, G4 and G8 stand out as the most stable, while in the following year G3 had the lowest interaction score. AMMI analysis enabled identification of specific associations between cultivars and different mineral nutrition treatments, which was important for adjustment of fertilizer management for each cultivar in order to achieve high root yield with decreased and more rational fertilizer doses.

scholarly journals GENOTYPE BY ENVIRONMENT INTERACTION AND YIELD STABILITY OF SOYBEAN GENOTYPES

2018 ◽  
Vol 19 (1) ◽  
pp. 25
Author(s):  
Ayda Krisnawati ◽  
M. Muchlish Adie
Keyword(s):  
Yield Components ◽  
Block Design ◽  
Sum Of Squares ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Yield Data ◽  
Branch Number ◽  
Soybean Production ◽  
Soybean Genotypes

<p class="abstrakinggris">Soybean breeding program in Indonesia has been actively involved in improving the genetic yield potential to meet the needs of farmers in different parts of the country. The study aimed to determine the presence of soybean production mega-environments and to evaluate the yield performance and stability of 12 soybean genotypes. Soybean yield performances were evaluated in eight production centers in Indonesia during 2013 growing season. The experiment in each location was arranged in a randomized complete block design with four replications. Parameters observed included grain yield and yield components. The yield data were analyzed using GGE biplot and the yield components data were analyzed using analysis of variance. The results showed that the yield performances of soybean genotypes were highly influenced by genotype-environment interaction (GEI) effects. The yield components were significantly affected by GEI except per plant branch number. The partitioning of the G + GE sum of squares showed that PC1 and PC2 were significant components which accounted for 57.41% and 18.55% of G + GE sum of squares, respectively. Based on the GGE visual assessment, agro-ecology for soybean production in Indonesia was divided into at least three mega-environments. Genotypes 8 and 2 were the best yielding genotypes in the most discriminating environment, but adapted to specific environment, thus highly recommended for that specific location. Genotypes 9 and 10 were stable and had relatively high yield performances across environments. Those genotypes would be recommended to be proposed as new soybean varieties.</p>

scholarly journals AMMI and GGE Biplot Analysis of Linseed (Linum usitatissimum L) Genotypes in Central and South-Eastern Highlands of Ethiopia

2018 ◽  
Vol 6 (3) ◽  
pp. 117-127
Author(s):  
Adane C. Chobe ◽  
Abebe D. Ararsa
Keyword(s):  
Degrees Of Freedom ◽  
Block Design ◽  
Pooled Analysis ◽  
Sum Of Squares ◽  
Yield Stability ◽  
Superior Performance ◽  
Environment Interaction ◽  
Linum Usitatissimum L ◽  
Genotype Environment Interaction ◽  
Cropping Season

Twelve linseed genotypes were evaluated in 13 environments during the main cropping season in central highlands of Ethiopia. The objective of the study was to determine the magnitude and pattern of G × E interaction and yield stability in linseed genotypes. The study was conducted using randomized complete block design with 3 replications. Genotype × environment interaction and yield stability were estimated using the additive main effects and multiplicative interaction and site regression genotype plus genotype × environment interaction biplot. Pooled analysis of variance for seed yield showed significant (p ≤ 0.001) differences among the genotypes, environments and G × E interaction effects. This indicated that the genotypes differentially responded to the changes in the test environments or the test environments differentially discriminated the genotypes or both. Environment effect was responsible for the greatest part of the variation, followed by G × E interaction and genotype effects, indicating spatial and temporal replications of linseed yield trials. The first three multiplicative component terms of AMMI were found to be significant. The first two multiplicative component terms sum of squares, with their cumulative degrees of freedom of 44, explained 62.9% of the interaction sum of squares. No single variety showed superior performance in all environments but CI-1525 demonstrated top ranking at six of the thirteen environments. The application of AMMI and GGE biplots facilitated the visual comparison and identification of superior genotypes, thereby supporting decisions on variety selection and recommendation in different environments

scholarly journals Evaluation of Promising Sweet potato Clones for Higher Root Yield and Dry Matter Content

2021 ◽  
Vol 9 (1) ◽  
pp. 42-47
Author(s):  
Wiwit Rahajeng ◽  
Joko Restuono ◽  
Febria Cahya Indriani ◽  
Purwono Purwono
Keyword(s):  
Sweet Potato ◽  
Skin Color ◽  
Dry Matter ◽  
Block Design ◽  
Matter Content ◽  
High Yield ◽  
Index Number ◽  
Dry Matter Content ◽  
Root Yield ◽  
Significant Difference

Dry matter content is one of the important characteristics of sweet potatoes in addition to high yield. The aim of this study was to evaluate the performance of promising sweet potato clones for higher root yield and dry matter content. A hundred promising sweet potato clones were evaluated and arranged in randomized block design with two replication. The variables observed included: weight of vine, harvest index, number of root per plot, the weight of root per plot, dry matter content, root yield, root skin color, and flesh color. The analysis of variance showed a significant difference among the tested genotypes in all traits observed. A hundred promising sweet potato clones showed that root yield has varied ranged from 4.88–41.38 t h-1 with an average 20.28 t h-1 and dry matter content ranged from 19.19 – 40.65% with an average 30.47%. Fifteen promising clones of a hundred clones tested had high root yield and dry matter content with varying color flesh.

scholarly journals Simultaneous selection for yield, adaptability, and genotypic stability in immature cowpea using REML/BLUP

2019 ◽  
Vol 54 ◽  
Author(s):  
Teresinha de Jesus Feitosa de Sousa ◽  
Maurisrael de Moura Rocha ◽  
Kaesel Jackson Damasceno-Silva ◽  
Cândida Hermínia Campos de Magalhães Bertini ◽  
Lindomar Maria da Silveira ◽  
...  
Keyword(s):  
Block Design ◽  
Rio Grande ◽  
Climatic Conditions ◽  
Genotype X Environment Interaction ◽  
High Yield ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Environmental Variance ◽  
Genotype X Environment ◽  
Genotypic Stability

Abstract: The objective of this work was to select cowpea genotypes simultaneously for high yield of immature grains, adaptability, and genotypic stability, taking into account genotype x environment interactions. The mixed models restricted maximum likelihood (REML)/best linear unbiased prediction (BLUP) were used. Sixteen cowpea genotypes were evaluated in nine environments, consisting of a combination of location (Pentecoste in the state of Ceará, Acaraú in Ceará, Teresina in Piauí, and Mossoró in Rio Grande do Norte, Brazil) and year (2012, 2013, 2014, 2015, and 2017). In all trials, a randomized complete block design with four replicates was used. Significant differences were observed for effects of genotypes and the genotype x environment interaction. Environmental variance was the largest component of phenotypic variance, followed by the genotype x environment interaction and genotypic variances. The immature grain yield of the evaluated cowpea genotypes interacts strongly with the studied environments, resulting in a low genotypic correlation between environments. The MNC00-595F-27, MNC05-847B-123, and BRS Tumucumaque cowpea genotypes present high yield of immature grains, adaptability, and genotypic stability, being the most suitable for cultivation in the states of Ceará, Piauí, and Rio Grande do Norte or in other environments with similar soil and climatic conditions.

scholarly journals Evaluation of improved cassava genotypes for yield and related traits for a better breeding strategy under different agroecologies in Nigeria

Euphytica ◽  
2021 ◽  
Vol 217 (4) ◽  
Author(s):  
N. A. Adetoro ◽  
O. O. Oworu ◽  
A. L. Nassir ◽  
A. Bello ◽  
E. Parkes ◽  
...  
Keyword(s):  
Plant Height ◽  
Dry Matter ◽  
Block Design ◽  
Pasting Properties ◽  
Growth And Yield ◽  
Root Weight ◽  
Root Yield ◽  
Root Characteristics ◽  
Stay Green ◽  
Fresh Root

AbstractThis study aimed at determining shoot and root characteristics of cassava as affected by root yield and the influence of soil moisture on vegetative growth and yield. Thirty cassava genotypes were evaluated for morphological and physiological characterization in three locations in Nigeria: Ibadan, Mokwa and Zaria. Randomized complete block design was used with four replicates. Studies on the pasting properties of the genotypes were also carried out. Data were collected on plant height, stem girth, stay-green ability, garri and fresh root weight. Genotypes differed significantly (P < 0.05) across and within locations for shoot and root characteristics. Across locations, genotype 011663 had the highest plant height (132.4 cm); 30572 had the largest stem girth (8.6 cm); and 010040 was the best stay-green (2.2). Genotype 011086 had the highest number of roots per plot (95.7), 950289 had the highest fresh root yield (24.3 t/ha), and 990554 had the highest percentage of dry matter (35.2). Trends in root yields across locations were Ibadan (28.9 t/ha), Mokwa (20.3 t/ha), and Zaria (8 t/ha). Five genotypes IITA-TMS-IBA950289, 010034, 990554, 011807, and 980581 had negligible interactions with the environment and so have broad adaptation and are considered stable; and two clones 011807 and 950166 were found to be the best for pasting properties. Breeding strategies that consider root size, total root number, harvest index, dry matter, with applications for household foods and industrial uses, will be an effective and efficient way to select genotypes for high yield.

scholarly journals Effect of Varieties on Growth and Yield of Yard Long Bean under Songhkla Conditions, Southern Thailand

2015 ◽  
Vol 9 (13) ◽  
pp. 247 ◽  
Author(s):  
Karistsapol Nooprom ◽  
Quanchit Santipracha
Keyword(s):  
Block Design ◽  
High Growth ◽  
Growth And Yield ◽  
High Yield ◽  
Good Growth ◽  
Marketable Yield ◽  
Tropical Regions ◽  
Southern Thailand ◽  
High Yielding Varieties ◽  
Pod Length

Yard long bean (<em>Vigna sesquipedalis</em> L. Fruw) is one of the most popular vegetables in many countries of Southeast Asia. Especially in Thailand, it has given high productivities for export in both fresh and frozen types. Yard long bean is considered as relatively low pod yield productivity and stability because it is quite sensitive to unfavorably environmental conditions, particularly for humid tropical regions with turmoil weather. The effect of varieties on growth and yield of yard long bean was conducted at Department of Plant Science, Faculty of Natural Resources, Prince of Songkla University, Hat Yai campus, Thailand to test for yield and other horticultural characteristics of seven varieties of yard long bean. All varieties of yard long bean were well grown under Songkhla’s conditions. Randomized complete block design (RCBD) was used with four replications. The experiment was taken from February to April, 2014. The results showed that the Mae Ping, Euro, Green Arrow, Kheow Dok, and Saifa varieties exhibited good growth and high yield. The Mae Ping variety gave the highest marketable yield of 12.25 t<sup>.</sup>ha<sup>-1</sup> not significantly different (p≤0.05) from the Euro, Green Arrow, Kheow Dok, and Saifa varieties which gave the marketable yield of 15.16, 14.13, 13.51, and 13.34 t<sup>.</sup>ha<sup>-1</sup>, respectively. The Negro and Taiwan varieties were the second high yielding varieties which gave the marketable yield of 11.90 and 11.92 t<sup>.</sup>ha<sup>-1</sup>, respectively. The Euro, Kheow Dok, Saifa, and Taiwan were interesting varieties because they had pod length longer than 60 cm to meet the needs of the consumers in Songkhla province and around this area. It is concluded that the Mae Ping, Euro, Green Arrow, Kheow Dok, and Saifa varieties were the most suitable for growing under Songkhla conditions, southern Thailand due to its high growth and yield.

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