scholarly journals Stability and adaptability of elite upland rice lines using Bayesian-AMMI model

2021 ◽  
pp. 244-250
Author(s):  
Joel Jorge Nuvunga ◽  
Alessandra Querino da Silva ◽  
Cristian Tiago Erazo Mendes ◽  
Gabriel Cossa ◽  
Luciano Antonio de Oliveira ◽  
...  
Keyword(s):  
Upland Rice ◽  
Block Design ◽  
Environment Interaction ◽  
Improvement Program ◽  
Genotype Environment Interaction ◽  
Randomized Block Design ◽  
Main Variable ◽  
Wide Adaptation ◽  
Ammi Model ◽  
Extra Assumption

Rice is one of the world’s most important crops. The search for genotypes that are more productive and have wide adaptation to different environments is paramount. One of the major breeder’s obstacles faced is identification of superior strains is the presence of Genotype × Environment Interaction (GEI), which motivated the development of countless statistical procedures aiming to offer more efficient studies. In this work we analysed adaptability and stability of 13 upland rice lineages as part of a genetic improvement program in nine different environments, resulting from local combination and years of agriculture. The experiment was conducted in a completely randomized block design, with three replicates. The main variable is the grain storage in kg/ha. The model applied is the Bayesian Main Additive Effects and Multiplicative Interaction (Bayesian-AMMI). Our implementation implies an extra assumption of random effects from genotypes coming from a single population as opposed to previous works in the literature. Credibility regions with maximum posteriori density allowed identification of cultivars with higher average yield. Stable genotypes showed an initial evidence of adaptation to an environment in this rice breeding program. Bayesian-AMMI is flexible, and starts to be more widely used, but our suggestion is promising in making it a more powerful tool

scholarly journals ADAPTABILITY AND STABILITY FOR IRON AND ZINC IN COWPEA BY AMMI ANALYSIS

2021 ◽  
Vol 34 (3) ◽  
pp. 590-598
Author(s):  
CARLOS ENRIQUE CARDONA-AYALA ◽  
HERMES ARAMENDIZ-TATIS ◽  
MIGUEL MARIANO ESPITIA CAMACHO
Keyword(s):  
Genetic Improvement ◽  
Block Design ◽  
Environment Interaction ◽  
Improvement Program ◽  
Genotype Environment Interaction ◽  
Randomized Complete Block Design ◽  
Ammi Analysis ◽  
Iron And Zinc ◽  
Ammi Model ◽  
Main Effects

ABSTRACT Iron and zinc deficiency is one of the main problems affecting vulnerable populations in the Colombian Caribbean, thereby generating malnutrition from the consumption of foods with low content of essential minerals. The objective of this study was to evaluate the genotype-environment interaction for iron and zinc accumulation in grains in 10 cowpea bean genotypes by additive main effects and multiplicative interaction (AMMI) model and to select the most stable ones to stimulate their planting or as parents in the genetic improvement program. Nine promising lines and a commercial control were evaluated using the randomized complete block design with 10 treatments and four replications in 10 environments of the northern Colombia in the second semester of 2017 and first of 2018. The adaptability and stability analysis was done using AMMI model. The results showed highly significant differences at the level of environments, genotypes, and genotype-environment interaction for iron and zinc, demostrating a differential adaptability of genotypes in the test environments. Genotypes 2 and 3 expressed greater adaptability and stability for iron contents in the seed; while genotype 1, recorded it for zinc contents. These three genotypes outperformed the commercial control and, therefore, can be recommended for planting or be used as parents in the genetic improvement program.

scholarly journals DESEMPENHO DE HÍBRIDOS DE MILHO TIPO AMILÁCEO EM RELAÇÃO A CARACTERÍSTICAS DO RENDIMENTO DE GRÃOS

2019 ◽  
Vol 18 (1) ◽  
pp. 74-87
Author(s):  
AMALIO RAMÓN MENDOZA GONZÁLEZ ◽  
COSME DAMIÃO CRUZ ◽  
VERONICA MACHADO
Keyword(s):  
Grain Yield ◽  
Significant Interaction ◽  
Block Design ◽  
Eastern Region ◽  
Environment Interaction ◽  
Maize Starch ◽  
Complex Type ◽  
Genotype By Environment ◽  
Genotype Environment Interaction ◽  
Randomized Block Design

RESUMO - O objetivo deste trabalho foi avaliar a existência de interação entre genótipos e ambientes e estimar osparâmetros de adaptabilidade e estabilidade de genótipos de milho amiláceo. Para isto, 44 genótipos de milho amiláceode três ambientes das localidades da Região Oriental do Paraguai foram utilizados para estimar os parâmetros deadaptabilidade e estabilidade para quatro características. As características usadas foram floração masculina, altura deplanta até o ápice da panícula, aspecto da planta e rendimento. O delineamento experimental utilizado foi o de blocosao acaso, com três repetições e parcelas contendo 25 plantas. O teste F demonstrou diferenças significativas para todasas características avaliadas na localidade de Choré com nível de 1%. Para a localidade de Capitán Miranda, no entanto,produtividade de grãos (PG) e aspecto da planta (AP) não foram significativos. Na localidade Yjhovy, o (PG) foisignificativo aos 5%. A análise de variância conjunta mostrou uma interação significativa para genótipos por ambientesao nível de 5% de significância pelo teste F, para todas as características, com exceção de floração masculina. A maioriadas características apresentou interação do tipo complexa. Os materiais 41 e 24 foram os genótipos que contiveram osmenores valores de índice de superioridade do cultivar (Pi) geral.Palavras chave: Adaptabilidade e estabilidade, interação genótipo ambiente, Avati Morotî, raças.PERFORMANCE OF AMYLACE TYPE CORN HYBRIDSIN RELATION TO GRAIN YIELD CHARACTERISTICSABSTRACT - In this study, the aim was to evaluate the interactions between genotypes and environments, and estimatethe parameters of adaptability and stability of genotypes of maize starch. Forty four genotypes of maize starch from threeenvironments of the locations of the Eastern Region of Paraguay were used to estimate the parameters of adaptabilityand stability for four features. The features used were the male flowering, height to the panicle apex, plant aspect andyield. The experimental design was a randomized block design with three replications, each containing 25 plants. The Ftest showed significant differences for all traits in the locality of Choré with level of 1%, while the location of CaptainMiranda grain yield (GY) and plant aspect (AP) were not significant. In the locality Yjhovy, the (PG) was significantat 5 %. The analysis of variance showed a significant interaction for genotype by environment at the 5 % significancelevel for the F test, for all traits except male flowering. Most features of the showed interaction of complex type. Thematerials were 41e 24 genotypes that contained the lowest values of index of superiority do cultivar (Pi) general.Keywords: Adaptability and stability, Avati Morotî, breeds, genotype environment interaction.

scholarly journals Analysis of genotype-environment interaction and yield stability of Thai upland rice (Oryza sativa L.) genotypes using AMMI model

2020 ◽  
pp. 362-370
Author(s):  
Shams Shaila Islam ◽  
Jakarat Anothai ◽  
Charassri Nualsri ◽  
Watcharin Soonsuwon
Keyword(s):  
Principal Component Analysis ◽  
Grain Yield ◽  
Upland Rice ◽  
Oryza Sativa L ◽  
Principal Component ◽  
Vital Role ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Ammi Model ◽  
Rice Genotypes

Genotype-environment interaction and stability analysis has been important for plant breeders and plays a vital role in identifying genotypes that are stable or unstable in a given environment. The experiments in this research were conducted to determine the effects of genotype, environment and genotype-environment interaction on grain yield using the AMMI statistical model, and to recognize the most stable rice genotypes among ten genotypes in southern Thailand’s provinces of environments in Songkhla, Satun and Phatthalung. Highly significant differences were shown from the combined analysis for environments with grain yields, revealing that environments were different and indicated change ability between the genotypes and their interactions. The average grain yield assessment of the tested genotypes was around the environments where genotype G8 (Nahng Kian) had the highest grain yield 6234.11 kg/ha. AMMI biplot of the Interaction Principal Component Analysis (IPCA) scores visualized 90.7% for IPCA1 and 9.3% for IPCA2 with the genotypes and environments for grain yield. In the AMMI stability value method, G8 (Nahng Kian) was the most stable genotype followed by the genotypes G2 (Mai Tahk) and G10 (Hawm Jet Ban) Songkhla, Satun and Phatthalung environments.

scholarly journals Analysis of Genotype-Environment Interaction and Yield Stability of Introduced Upland Rice in the Groundnut Basin Agroclimatic Zone of Senegal

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ghislain Kanfany ◽  
Mathieu Anatole Tele Ayenan ◽  
Yedomon Ange Bovys Zoclanclounon ◽  
Talla Kane ◽  
Malick Ndiaye ◽  
...  
Keyword(s):  
Grain Yield ◽  
Upland Rice ◽  
Block Design ◽  
Principal Component ◽  
Stability Index ◽  
Rice Production ◽  
Yield Stability ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype Environment Interaction

Identification of highly performing varieties under Senegalese environment is crucial to sustain rice production. Genotype-environment interaction and stability performance on the grain yield of ten upland rice genotypes were investigated across 11 environments in Senegal during the rainy seasons of 2016 and 2017 to identify adapted varieties. The experiment was conducted using a randomized complete block design with three replications at each environment. Data on grain yield were recorded and analyzed using the additive main effects and multiplicative interaction (AMMI) model. The combined analysis of variance revealed that the grain yield was significantly affected by environment (67.9%), followed by genotype × environment (G × E) interaction (23.6%) and genotype (8.5%). The first two principal component axes were highly significant with 37.5 and 26% of the total observed G × E interaction variation, respectively. GGE biplot grouped the environments into four potential megaenvironments. Based on the yield stability index parameter and ranking GGE biplot, NERICA 8 and ART3-7-L9P8-1-B-B-1 were stable and high-yielding varieties compared to the local check NERICA 6. These varieties should be proposed for cultivation in order to sustain the rice production in the southern part of the groundnut basin of Senegal and used as parental lines in rice breeding program for grain yield improvement.

scholarly journals Quantitative variation for grain quality in Brazilian maize populations

2011 ◽  
Vol 68 (1) ◽  
pp. 50-56 ◽  
Author(s):  
Andréa Mittelmann ◽  
José Branco de Miranda Filho ◽  
Luciano Lourenço Nass ◽  
Gustavo Júlio Melo Monteiro de Lima ◽  
Claudete Hara-Klein ◽  
...  
Keyword(s):  
Nutritional Quality ◽  
Zea Mays L ◽  
Block Design ◽  
Positive Association ◽  
Environment Interaction ◽  
Breeding Programs ◽  
Maize Populations ◽  
Genotype Environment Interaction ◽  
Randomized Block Design

Development of maize (Zea mays L.) cultivars with high grain protein and oil concentrations and an appropriate amino acid composition, without losses in grain yield, represents a challenge in breeding programs. The objective of this work was to study the nutritional quality of ten Brazilian maize populations evaluated in three environments. A randomized block design with six replications was used. Ear yield and the concentrations of protein, oil, serine, glutamic acid, alanine, leucine, tyrosine and phenylalanine were evaluated. Individual and combined analyses of variance were performed. Populations diverged for most of the traits. Environmental effects influenced variation for most of the traits, unlike genotype-environment interaction, allowing the selection on the average of environments. Positive association exists among protein and most of the amino acids, when considered on a dry matter basis and there is no association between nutritional quality and yield; therefore, the development of cultivars that are superior for both traits is expected to be feasible.

scholarly journals Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years

2015 ◽  
Vol 15 (4) ◽  
pp. 244-250 ◽  
Author(s):  
Leiri Daiane Barili ◽  
Naine Martins do Vale ◽  
Adalgisa Lelis do Prado ◽  
José Eustáquio de Souza Carneiro ◽  
Fabyano Fonseca e Silva ◽  
...  
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Block Design ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Breeding Programs ◽  
The Past ◽  
Genotype Environment Interaction ◽  
Randomized Block Design ◽  
New Cultivars

Abstract The purpose of this study was to analyze the effect of genotype-environment interaction (GE) on common bean cultivars with carioca grain (cream-colored beans with light brown stripes), recommended for cultivation by different Brazilian research institutions in the last 40 years. The experiments were carried out with 40 cultivars in four different environments (Coimbra and Viçosa, in the dry and winter seasons of 2013) using a randomized block design with three replications. The results showed an effective increase in grain yield resulting from the use of new cultivars from different Brazilian breeding programs in the past four decades. In addition, the analysis of the GE interaction indicated that the cultivars recommended after 2005 combined high mean grain yield, wide adaptability and high or stability.

Biplot analysis of genotype-environment interaction in durum wheat using the AMMI model

2006 ◽  
Vol 54 (4) ◽  
pp. 459-467 ◽  
Author(s):  
E. Farshadfar ◽  
J. Sutka
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Field Experiments ◽  
Block Design ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Biplot Analysis ◽  
Randomized Block Design ◽  
Total Variability ◽  
Ammi Model

The genotype by environment (GE) interaction is a major problem in the study of quantitative traits because it complicates the interpretation of genetic experiments and makes predictions difficult. In order to quantify GE interaction effects on the grain yield of durum wheat and to determine stable genotypes, field experiments were conducted with ten genotypes for four consecutive years in two different conditions (irrigated and rainfed) in a completely randomized block design with three replications in each environment. Combined analysis of variance exhibited significant differences for the GE interaction, indicating the possibility of stable entries. The results of additive main effect and multiplicative interaction (AMMI) analysis revealed that 12% of total variability was justified by the GE interaction, which was six times more than that of genotype. Ordination techniques displayed high differences for the interaction principal components (IPC1, IPC2 and IPC3), indicating that 92.5% of the GE sum of squares was justified by AMMI1, AMMI2 and AMMI3, i.e. 4.5 times more than that explained by the linear regression model. The results of the AMMI model and biplot analysis showed two stable genotypes with high grain yield, due to general adaptability to both rainfed and irrigated conditions, and one with specific adaptation.

Adaptability of cotton (Gossypium hirsutum) genotypes analysed using a Bayesian AMMI model

2019 ◽  
Vol 70 (7) ◽  
pp. 615 ◽  
Author(s):  
Paulo Eduardo Teodoro ◽  
Camila Ferreira Azevedo ◽  
Francisco José Correia Farias ◽  
Rodrigo Silva Alves ◽  
Leonardo de Azevedo Peixoto ◽  
...  
Keyword(s):  
Block Design ◽  
Environment Interaction ◽  
Textile Fibre ◽  
Mato Grosso ◽  
Genotype Environment Interaction ◽  
West Region ◽  
Cotton Genotypes ◽  
Ammi Model ◽  
Fibre Yield ◽  
Positive Effect

Cotton (Gossypium spp.) provides ~90% of the world’s textile fibre. The aim of this study was to use the principal additive effects and multiplicative interaction (AMMI) model under the Bayesian approach to recommend cotton genotypes for the Central-West region of Brazil. Eight trials with upland cotton genotypes were conducted during the 2008–09 harvest in the State of Mato Grosso, Brazil. The experiment included a randomised block design with 16 genotypes. The genotypes were evaluated for fibre yield, length and strength. Chains were simulated via the Markov chain Monte Carlo method with 300000 iterations for the parameters of the Bayesian AMMI model. From the chains generated, the first 20000 burn-in observations were discarded and samples were taken by jumping every 20 observations (thin). Bayesian analysis provided additional results to those obtained by the frequentist approach, highlighting the credibility regions in the biplot for the genotypic and environmental scores. Bayesian AMMI model allowed identification of a genotype that can be widely recommended; this genotype has genotypic values above the overall mean for the three evaluated traits and did not contribute to the genotype × environment interactions observed in these traits. In addition, adaptability of genotypes to specific environments was observed, which makes it possible to capitalise the positive effect of the genotype × environment interaction.

scholarly journals Genotype selection and addition of fertilizer increases grain yield in upland rice in Suriname

2017 ◽  
Vol 47 (3) ◽  
pp. 185-194 ◽  
Author(s):  
Adriano Stephan NASCENTE ◽  
Ruby KROMOCARDI
Keyword(s):  
Grain Yield ◽  
Management Practices ◽  
Upland Rice ◽  
Block Design ◽  
Field Trials ◽  
Application Rate ◽  
Rice Grain ◽  
Rice Varieties ◽  
Local Conditions ◽  
Randomized Block Design

ABSTRACT The upland rice farmers in Suriname use local varieties and low level technologies in the field. As a result, the upland rice grain yield is low, at about 1 000 kg ha-1. Our objective was to evaluate the use of upland rice cultivars from Suriname and Brazil, and the effect of nitrogen, N, phosphorus, P, and potassium, K, fertilizers on cultivation variables. We undertook four field trials in the Victoria Area, in the Brokopondo District, using a randomized block design each with four replications. The most productive rice varieties were BRS Esmeralda (grain yield 2 903 kg ha-1) and BRS Sertaneja (2 802 kg ha-1). The highest grain yield of 2 620 kg ha-1 was achieved with a top dressing application of 76.41 kg N ha-1 20 days after sowing. For P, the highest grain yield of 3 085 kg ha-1 was achieved with application of 98.06 kg ha-1 P2O5 applied at sowing. An application rate of 31.45 kg ha-1 of K2O at sowing achieved the highest grain yield of 2 952 kg ha-1. Together, these application rates of N, P and K resulted in rice grain yield of about 3 000 kg ha-1, which is three times greater than the national average for upland rice. We demonstrate that the use of improved rice varieties matched to the local conditions, and application of appropriate fertilizers, are management practices that can result in significant increases in rice grain yield in Suriname.

scholarly journals Yield performance of upland rice cultivars at different rates and times of nitrogen application

2012 ◽  
Vol 36 (2) ◽  
pp. 475-483 ◽  
Author(s):  
José Hildernando Bezerra Barreto ◽  
Ismail Soares ◽  
José Almeida Pereira ◽  
Antonio Marcos Esmeraldo Bezerra ◽  
José Aridiano Lima de Deus
Keyword(s):  
Upland Rice ◽  
Oryza Sativa L ◽  
Block Design ◽  
N Fertilization ◽  
Rice Cultivars ◽  
Nitrogen Application ◽  
N Application ◽  
Yield Performance ◽  
Randomized Block Design ◽  
N Rates

Nitrogen is the most important nutrient for rice (Oryza sativa L) yields. This study aimed to evaluate the response of upland rice cultivars to N rate and application times in a randomized block design, in subdivided plots with four replications. The studied factors were five rice cultivars (BRS MG Curinga, BRS Monarca, BRS Pepita, BRS Primavera, and BRS Sertaneja), three application times (100 % at planting, 50 % at planting - 50 % at tillering and 100 % at tillering) and four N rates (0, 50, 100, and 150 kg ha-1). All cultivars responded to increased rates and different times of N application, especially BRS Primavera and BRS Sertaneja, which were the most productive when 50 % N rates were applied at sowing and 50 % at tillering. The response of cultivar BRS Monarca to N fertilization was best when 100 % of the fertilizer was applied at tillering.

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