scholarly journals Adaptation and stability of cowpea (Vigna unguiculata (L.) Walp) bean cultivars in the tropical dry forest of Colombia

2019 ◽  
pp. 1009-1016
Author(s):  
Hermes Araméndiz- Tatis ◽  
Miguel Espitia- Camacho ◽  
Carlos Cardona- Ayala
Keyword(s):  
Grain Yield ◽  
Vigna Unguiculata ◽  
Low Cost ◽  
Block Design ◽  
Tropical Dry Forest ◽  
Dry Forest ◽  
Caribbean Region ◽  
Environment Interaction ◽  
Phenotypic Stability ◽  
Randomized Block Design

Cowpea (Vigna unguiculata (L.) Walp) is a source of low cost protein for food, and is currently used in family farming in northern Colombia. The aim of this study was to estimate the adaptability and phenotypic stability of the grain yield (per hectare) of nine advanced lines (plus control) of cowpea and a commercial control in eight contrasting environments of the tropical dry forest of the Colombian Caribbean region. We employed five analysis methods: Eberhart and Russell, Lin and Binns, Annichiarico, Carneiro, and Nascimento et al. A completely randomized block design was used with 9 genotypes +1 control and four repetitions per environment. The analysis of variance detected significant differences in environments, genotypes and in the genotype x environment interaction, confirming that the crops have become sensitive to differences of the environments. At the same time, we forced to consider adaptability and stability for the selection of the best genotype. The five methods of analysis coincided with identification of line L-019 as the best genotype due to its grain yield, adaptability and phenotypic stability. Therefore, L-019 is a new planting alternative for family agriculture of cowpea producers in the Colombian Caribbean.

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 Estimation of adaptability and stability of early strains of ‘Carioca’ and black beans (Phaseolus vulgaris) in Pernambuco State, Brazil

2020 ◽  
pp. 263-270 ◽  
Author(s):  
Richardson Sales Rocha ◽  
Paulo Ricardo dos Santos ◽  
Tâmara Rebecca Albuquerque de Oliveira ◽  
Rogério Figueiredo Daher ◽  
Maxwel Rodrigues Nascimento ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Yield Data ◽  
Black Beans ◽  
Black Bean ◽  
Randomized Block Design ◽  
Yield Trait ◽  
Selection For

Low yields of early ‘Carioca’ and black bean varieties are a consequence of instability and low yield adaptability to specific growing environments. The goal of this work was to evaluate the genotype x environment interaction of early ‘Carioca’ and black bean new lines aiming at obtaining genotypes with high grain yield and good adaptability and stability. In (2012), 15 genotypes of the black group were evaluated in Ibimirim, Belém do São Francisco, and Petrolina municipalities, in Pernambuco State, Brazil; and, in (2016), 11 genotypes of early ‘Carioca’ bean were evaluated in Caruaru, Arcoverde, and Araripina municipalities, also in Pernambuco State. The experiment was conducted in a randomized block design with three replicates, and grain yield data were submitted to analysis of variance, in which means were compared by the Tukey’s test and analysis via GGE Biplot. In Arcoverde, the grain yield was greater for all early ‘Carioca’ bean genotypes, whereas, in the environment of Petrolina, there was the worst grain yield in kg ha-1 for all black bean genotypes, individually. The GGE Biplot methodology was found to be efficient in identifying genotypes with good adaptability, stability, and yield. Differences presented by the genotypes for the grain yield trait give the basis to recommend the genotypes and express the possibility of selection for genetic improvement of the species.

scholarly journals Genotype by environment interaction of “carioca” seeded common bean advanced lines in northeastern Brazil

2016 ◽  
Vol 37 (4) ◽  
pp. 1745
Author(s):  
Helton Santos Pereira ◽  
Renata Cristina Alvares ◽  
Leonardo Cunha Melo ◽  
Antônio Félix da Costa ◽  
Hélio Wilson Lemos de Carvalho ◽  
...  
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Northeastern Brazil ◽  
Joint Analysis ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Randomized Block Design ◽  
Environmental Stratification

The objectives of the present work were to identify common bean lines with high grain yield, adaptability and stability; stratify the environment; and detect the most important factors for the genotype by environment (G×E) interaction in northeastern Brazil. Nineteen experiments were conducted in a randomized block design with three replications during the rainy growing season at 11 locations in the States of Pernambuco, Alagoas, Sergipe, and Bahia in 2009 and 2010. In each experiment, 16 “carioca” seeded lines were evaluated, and the grain yield, assessed. Data were subjected to analyses of variance and adaptability and stability by the methodologies of Annicchiarico and Additive Main Effects and Multiplicative Interactions (AMMI), analysis of the factors for environmental stratification and joint analysis with decomposition of the G×E interaction in genotype by year and genotype by location. According to the AMMI method, BRS Estilo and CNFC 11951 were selected as stable high-yielding lines. CNFC 11954, IPR Juriti, CNFC 11948 and BRS Estilo were identified as stable high-yielding lines based on the methodology of Annicchiarico. BRS Estilo was identified as stable according to both methodologies and was therefore considered suitable for growth in the Northeast region for use as a parent line in regional breeding programs. The locations in this region used to test the common bean lines were informative, except Carira, which could be eliminated from the assay network. Interaction among genotypes, locations and years were observed, suggesting that assessments shoud be conducted at the largest number of locations and years, in this order of importance.

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.

scholarly journals Adaptability and yield stability of soybean genotypes by mean Eberhart and Russell methods, artificial neural networks and centroid

2021 ◽  
Vol 8 ◽  
pp. 1-13
Author(s):  
Mário Carmo Oda ◽  
Tuneo Sediyama ◽  
Cosme Damião Cruz ◽  
Moysés Nascimento ◽  
Éder Matsuo
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Grain Yield ◽  
Block Design ◽  
Joint Analysis ◽  
Phenotypic Stability ◽  
Randomized Block Design ◽  
Soybean Genotypes ◽  
Artificial Neural

The soybean crop is prominent in national and international scenarios. A large part of the world production of soybean is cultivated in Brazil and this has been possible due to the performance of different technological areas, among them genetics and plant breeding. Soybean breeding has acted in the development and launch of new cultivars and for this it is required the studies of interaction genotypes x environments and those of adaptability and stability. Thus, the objective was to evaluate the adaptability and phenotypic stability of the grain yield of late-cycle soybean genotypes. Five experiments were conducted in the state of Minas Gerais, each of which was considered as an environment. In each, 17 soybean genotypes were evaluated in a randomized block design with three repetitions, for grain yield, in kg ha-1. The data were analyzed by means of individual (each environment) and joint analysis of variance. Subsequently, analyses of adaptability and phenotypic stability were performed using the methods of Eberhart and Russell (1966), Artificial Neural Networks (Nascimento et al., 2013) and Centroid (Rocha, Muro‑Abad, Araujo, & Cruz, 2005). The results indicated the classification of the analyzed genotypes for unfavorable, general or favorable adaptability, with high or low stability. DM-339 is indicated for favorable environments and UFV-18 (Patos de Minas), UFV91-651226, UFV99-8552093, UFV01-871375B, UFV01-66322813 and UFV99-8552099 are indicated as general adaptability, considering the three methods of adaptability and stability analysis.

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.

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

Assessment of genetic variability for quantitative characters in rice (Oryza sativa L.) under post flood situation in sali

2021 ◽  
Vol 58 (1) ◽  
pp. 43-48
Author(s):  
Dalibha Pathak ◽  
Umesh Ch. Kalita
Keyword(s):  
Grain Yield ◽  
Coefficient Of Variation ◽  
Quantitative Traits ◽  
Oryza Sativa L ◽  
Block Design ◽  
Genetic Advance ◽  
Spikelet Sterility ◽  
Rice Varieties ◽  
Randomized Block Design ◽  
Spikelets Per Panicle

Sixteen genotypes of rice (including one check) were evaluated on 18 quantitative traits during sali (August), 2018 in a randomized block design with three replications at Instruction cum Research Farm, Department of Plant Breeding and Genetics, Assam Agricultural University, Jorhat to study the nature and magnitude of variability, heritability and genetic advance under delayed sown condition. The analysis of variance for 18 quantitative traits revealed the presence of significant differences for grain yield and its component characters. The highest genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) was observed for chaffs per panicle followed by grains per panicle, spikelet sterility (%), spikelets per panicle, grain yield (kg/ha). A high heritability coupled with high genetic advance was observed for plant height (cm), spikelets per panicle, spikelet sterility (%), chaffs per panicle, grains per panicle, grain yield (g/hill), grain yield (kg/ha), biological yield (kg/ha), straw weight (kg/ha) and harvest index (%) indicating that selection might be effective for improvement of these characters under delayed sown condition with low input. From the findings of this investigation, one genotype viz., Gandhari emerged as the outstanding genotype which yielded 4170 kg/ha and could be directly used for cultivation in delayed sown situation with low inputs. Some other promising genotypes that yielded higher than the check Manoharsali under delayed sown condition were JR 29, JR 16, Basundhara and JR 60 and could be utilized as potential parental material in the hybridization programmes designed to develop suitable rice varieties for delayed sown situation.

scholarly journals Weed control in corn and weed sample size for growth evaluations

2014 ◽  
Vol 32 (1) ◽  
pp. 51-59 ◽  
Author(s):  
L.B. Tavella ◽  
P.S.L. Silva ◽  
V.R. Oliveira ◽  
P.L.O. Fernandes ◽  
R.P. Sousa
Keyword(s):  
Grain Yield ◽  
Sample Size ◽  
Weed Control ◽  
Block Design ◽  
Corn Yield ◽  
Weed Growth ◽  
Randomized Block Design ◽  
Experimental Variation ◽  
Yield Values ◽  
Viable Seeds

The objectives of this study were to evaluate baby corn yield, green corn yield, and grain yield in corn cultivar BM 3061, with weed control achieved via a combination of hoeing and intercropping with gliricidia, and determine how sample size influences weed growth evaluation accuracy. A randomized block design with ten replicates was used. The cultivar was submitted to the following treatments: A = hoeings at 20 and 40 days after corn sowing (DACS), B = hoeing at 20 DACS + gliricidia sowing after hoeing, C = gliricidia sowing together with corn sowing + hoeing at 40 DACS, D = gliricidia sowing together with corn sowing, and E = no hoeing. Gliricidia was sown at a density of 30 viable seeds m-2. After harvesting the mature ears, the area of each plot was divided into eight sampling units measuring 1.2 m² each to evaluate weed growth (above-ground dry biomass). Treatment A provided the highest baby corn, green corn, and grain yields. Treatment B did not differ from treatment A with respect to the yield values for the three products, and was equivalent to treatment C for green corn yield, but was superior to C with regard to baby corn weight and grain yield. Treatments D and E provided similar yields and were inferior to the other treatments. Therefore, treatment B is a promising one. The relation between coefficient of experimental variation (CV) and sample size (S) to evaluate growth of the above-ground part of the weeds was given by the equation CV = 37.57 S-0.15, i.e., CV decreased as S increased. The optimal sample size indicated by this equation was 4.3 m².

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.

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