scholarly journals Repeatability of adaptability and stability parameters of common bean in unpredictable environments

2013 ◽  
Vol 48 (9) ◽  
pp. 1254-1259 ◽  
Author(s):  
Lidiane Kely de Lima ◽  
Magno Antonio Patto Ramalho ◽  
Ricardo Augusto Diniz Cabral Ferreira ◽  
Ângela de Fátima Barbosa Abreu
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Regression Coefficient ◽  
Coefficient Of Determination ◽  
Yield Data ◽  
Stability Parameters ◽  
Small Magnitude ◽  
Unpredictable Environments ◽  
Minas Gerais State ◽  
Sowing Season

The objective of this work was to estimate the repeatability of adaptability and stability parameters of common bean between years, within each biennium from 2003 to 2012, in Minas Gerais state, Brazil. Grain yield data from trials of value for cultivation and use common bean were analyzed. Grain yield, ecovalence, regression coefficient, and coefficient of determination were estimated considering location and sowing season per year, within each biennium. Subsequently, a analysis of variance these estimates was carried out, and repeatability was estimated in the biennia. Repeatability estimate for grain yield in most of the biennia was relatively high, but for ecovalence and regression coefficient it was null or of small magnitude, which indicates that confidence on identification of common bean lines for recommendation is greater when using means of yield, instead of stability parameters.

scholarly journals The Grain Yield Performance and Stability Characters of Several Spring Wheat Genotypes in Transylvanian Plain Conditions

2019 ◽  
Vol 76 (1) ◽  
pp. 61
Author(s):  
Ionuț RACZ ◽  
Rozalia KADAR ◽  
Ovidiu Adrian CECLAN ◽  
Diana HIRIȘCĂU ◽  
Florin Dumitru BORA ◽  
...  
Keyword(s):  
Grain Yield ◽  
Spring Wheat ◽  
Regression Coefficient ◽  
Kernel Weight ◽  
Coefficient Of Determination ◽  
Stability Parameters ◽  
Spike Density ◽  
Thousand Kernel Weight ◽  
Main Components ◽  
Yield Trials

The current study presents some stability parameters (coefficient of variation, environment variation, regression coefficient, deviation from regression, coefficient of determination and ecovalence) of grain yields and the main components of its. Twenty-two spring wheat cultivars were tested in yield trials during three years being analyzed the number of grains per spike, thousand kernel weight and spike density The genotypes: Durom and Marcius indicated over the experimental years, a high stability for grain yield, based on three or more parameters (CV, s2, b, sd2) and a good adaptation. Corso and Henica genotypes have a good stability for number of grains per spike with a medium number of grains, and TD 1524-71 is the most unstable genotype for thousand kernel weight. Regarding the correlation between stability parameters for analyzing characters there is a different and additional reaction according to differently performance of genotype.

scholarly journals Implications of predictable and unpredictable environmental factors in common bean VCU trials in Minas Gerais

2014 ◽  
Vol 14 (3) ◽  
pp. 146-153 ◽  
Author(s):  
Lidiane Kely de Lima ◽  
Magno Antonio Patto Ramalho ◽  
Ângela de Fátima Barbosa Abreu ◽  
Fernando Henrique Ribeiro Barrozo Toledo ◽  
Ricardo Augusto Diniz Cabral Ferreira
Keyword(s):  
Environmental Factors ◽  
Grain Yield ◽  
Common Bean ◽  
Total Variation ◽  
Minas Gerais ◽  
The State ◽  
Good Strategy ◽  
Yield Data ◽  
Relative Contribution ◽  
Environmental Variations

The aim of this study was to estimate the relative contribution of predictable and unpredictable environmental variations to the lines x environments interaction and verify if it is possible to reduce the number of evaluation environments of the Value for Cultivation and Use Trials (VCU) conducted in Minas Gerais, Brazil. We used grain yield data from 166 VCU trials of common bean conducted in the state from 2002 to 2012. Individual and joint analyses of variance of the environments were carried out for each two-year period and the contribution of each source of variation to total variation was estimated. Subsequently, ecovalence was used, and joint analyses of variance were made considering different numbers of environments by means of resampling. The source of variation that most contributes to the interaction is location. Reduction in the number of environments in the VCU trials is not a good strategy for recommendation of cultivars in Minas Gerais.

scholarly journals Development and grain yield of common bean cultivars according to sowing season

Científica ◽  
2019 ◽  
Vol 47 (3) ◽  
pp. 296
Author(s):  
Thiago Aranda Catuchi ◽  
Fernando Vieira Costa Guidorizzi ◽  
Vinicius José Souza Peres ◽  
Eduardo Silva Dias ◽  
Gabriel Chaves Parmezan ◽  
...  
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Sowing Season

scholarly journals Trait Based Adaptation and Yield Stability Parameters in Little Millet (Panicum sumatrense Roth. ex. Roem. and Schultz.)

2021 ◽  
pp. 210-221
Author(s):  
V. Manimozhi Selvi ◽  
A. Nirmalakumari
Keyword(s):  
Grain Yield ◽  
Regression Coefficient ◽  
Optimum Conditions ◽  
Stability Parameters ◽  
Ecological Zones ◽  
Little Millet ◽  
Favourable Environment ◽  
The Stability ◽  
The Given ◽  
Agro Ecological Zones

Twelve accessions of littlemillet genotypes which included 10 germplasm accessions and two released check varieties were studied over five environments of rainy seasons of 2013 for their grain yield and stability. The results have shown that genotypes TNPsu 141 and TNPsu 28 had possessed around unit regression coefficient (b = 1.24 to 0.82), thus displaying average stability and are adaptable to all the above five different agro-ecological zones.  Also, these genotypes had non- significant S2di values enabling it to predict the stability. Genotypes TNPsu 17, PM 29, TNPsu 18, and IPmr 886 manifested significantly higher single plant grain yield than the standard check varieties along with regression coefficient values of greater than one expressing above-average stability. These can be performed better in a favourable environment. However, they were classified as unstable due to their significant S2 di values revealing that the performance of the genotypes was unpredictable for the given environment. These genotypes were performed better under optimum conditions. Out of 12 genotypes MS 1826 and MS 4684 had an average response and appeared unpredictable stability. However, among the genotypes studied, TNPsu 141 possessed low yield and perform better in sub -optimum environments which are inferred by less than unit regression.

scholarly journals The effect of longitudinal distribution and seed depth on grain yield of common bean

2018 ◽  
Vol 40 (1) ◽  
pp. 90-97 ◽  
Author(s):  
Pedro Marques da Silveira ◽  
Adriano Stephan Nascente ◽  
José Geraldo da Silva
Keyword(s):  
Linear Regression ◽  
Grain Yield ◽  
Common Bean ◽  
Ground Level ◽  
Plant Distribution ◽  
Longitudinal Distribution ◽  
Hypocotyl Length ◽  
Yield Data ◽  
Sowing Depth ◽  
Seed Distribution

Abstract: The aim of this study was to quantify the longitudinal distribution of plants in the row and seed depth and their effects on hypocotyl length and diameter and on yield components and grain yield of common bean, specifically the cultivar BRSMG Realce in a Latossolo soil in the Cerrado (Brazilian tropical savanna). The data on plant distances in the row were obtained in the field with the aid of a measuring tape in four rows of 2.5 m length. Seed depth was determined by measuring the length of the hypocotyl that was within the soil after pulling up the plant. Hypocotyl diameter was evaluated at ground level using a digital caliper. Descriptive (univariate) statistical analysis was applied to the data. Linear correlations were established among distribution of distance between plants in the row, the depth of sowing, the characteristics of the hypocotyls, and grain yield data of common bean. Negative linear regression was observed between grain yield with sowing depth, and positive linear regression between hypocotyl diameter and longitudinal spacing between plants in the row. In the sowing process, special attention should be given to seed distribution in the row to avoid subsequent uneven plant distribution and to seed depth to avoid yield loss.

scholarly journals Complex interaction between genotypes and growing seasons of carioca common bean in Goiás/Distrito Federal

2011 ◽  
Vol 11 (3) ◽  
pp. 207-215 ◽  
Author(s):  
Helton Santos Pereira ◽  
Leonardo Cunha Melo ◽  
Maria José Del Peloso ◽  
Luís Cláudio de Faria ◽  
Adriane Wendland
Keyword(s):  
Common Bean ◽  
Complex Interaction ◽  
Coefficient Of Determination ◽  
Complex Nature ◽  
Environment Interaction ◽  
Yield Data ◽  
Genotype X Environment ◽  
Growing Seasons ◽  
General Adaptation ◽  
Distrito Federal

The objectives of this study were to assess the importance of the complex interaction between common bean genotypes and growing seasons in the state of Goiás and the Distrito Federal and verify the need for evaluation and indication of cultivars for each season. Yield data of 16 genotypes in 16 trials conducted in two growing seasons (winter and rainy) were used. The coefficient of determination was estimated in the analyses of variance with decomposition of the genotype x environment interaction. The complex percentage of the interaction was estimated and the Spearman correlation between seasons. Differences were detected between seasons and presence of genotype - season (GS) interaction, with greater significance than the other double interactions with genotypes. The correlations indicated a predominantly complex GS interaction. This predominantly complex nature of the GS interaction calls for an assessment of the genotypes in both seasons, which may however identify cultivars with general adaptation.

scholarly journals Fuzzy control systems for decision-making in cultivars recommendation

2018 ◽  
Vol 40 (1) ◽  
pp. 39314 ◽  
Author(s):  
Vinícius Quintão Carneiro ◽  
Adalgisa Leles do Prado ◽  
Cosme Damião Cruz ◽  
Pedro Crescêncio Souza Carneiro ◽  
Moysés Nascimento ◽  
...  
Keyword(s):  
Decision Making ◽  
Stability Analysis ◽  
Fuzzy Control ◽  
Grain Yield ◽  
Control Systems ◽  
Yield Data ◽  
Agronomic Crops ◽  
Minas Gerais State ◽  
Red Bean ◽  
Inference Systems

The objective of the present study was to propose fuzzy control systems to support the recommendation of cultivars of different agronomic crops. Grain yield data from 23 lines and 2 cultivars of red bean were used to evaluate the applicability of these controllers. Genotypes were evaluated in nine environments in the Zona da Mata region, Minas Gerais State, Brazil. Using the parameters of Eberhart and Russell analysis, fuzzy controllers were developed with the Mamdani and Sugeno inference systems. Analyses of adaptability and stability were carried out by the method of Eberhart and Russell. The parameters obtained for each genotype were submitted to the respective controllers. There were significant genotypes x environments interaction, which justified the necessity of performing an adaptability and stability analysis. For both controllers (Mamdani and Sugeno), seven lines presented general adaptability, while only one presented adaptability to unfavorable environments. It was also found that both inference systems were useful for developing controllers that had the aim of recommending cultivars. Thus, it was noted that fuzzy control systems have the potential to identify the behavior of bean genotypes.  

scholarly journals Early sowing can improve irrigation water use efficiency and yield of common bean

2017 ◽  
Vol 47 (1) ◽  
pp. 118-126
Author(s):  
Gisele Carneiro da Silva Teixeira ◽  
Luís Fernando Stone ◽  
Alberto Baêta dos Santos ◽  
Silvando Carlos da Silva ◽  
Alexandre Bryan Heinemann
Keyword(s):  
Grain Yield ◽  
Water Use Efficiency ◽  
Common Bean ◽  
Water Use ◽  
Irrigation Water ◽  
Point Of View ◽  
Irrigation Water Use Efficiency ◽  
Irrigation Water Use ◽  
Use Efficiency ◽  
Sowing Season

ABSTRACT One of the great challenges in the use of irrigation, from an economic and environmental point of view, is to optimize the amount of water used in the production system. This study aimed at determining the viability of early sowing in the fall/winter harvest season, as well as its effects on the irrigation water use efficiency and yield of common bean. A crop model named CSM-CROPGRO-Dry bean, which simulates growth, development and yield of common bean as a function of environmental conditions, crop management and cultivar-specific parameters, was used to simulate the effects of 12 sowing dates on the irrigation water use efficiency and yield of the Pérola and BRS Radiante common bean cultivars. The simulated dates were as it follows: March 1st, 10 and 20 and April 1st, 10 and 20 (considered early); and May 1st, 10 and 20 and June 1st, 10 and 20 (considered traditional). The early sowing results in greater water economy than the traditional sowing season. Sowing in March provides a higher grain yield for the BRS Radiante cultivar and is similar to the traditional sowing of the Pérola cultivar. Concerning grain yield and irrigation water use efficiency, it is feasible to sow both cultivars in March.

scholarly journals Stability analysis of rice (Oryza sativa L.) under different micro-environments

2021 ◽  
Vol 58 (4) ◽  
pp. 477-486
Author(s):  
Deepak Katkani ◽  
SK Payasi ◽  
Vinod Patel ◽  
Jay Prakash Chamar
Keyword(s):  
Stability Analysis ◽  
Grain Yield ◽  
Management Practices ◽  
Regression Coefficient ◽  
Oryza Sativa L ◽  
Flag Leaf ◽  
Mean Value ◽  
Leaf Angle ◽  
Stability Parameters ◽  
Direct Seeded

The present research was undertaken to evaluate 32 rice genotypes for grain yield and its attributing traits under three micro-environments like., direct seeded condition (E-I), transplanting at spacing of 15 x 15 cm (E-II) and 25 x 15 cm (E-III). Adopting the Eberhart and Russell (1966) model, stability analysis of variance revealed significant differences among the genotypes for days to 50% flowering, days to maturity, plant height, panicle length, number of grains per panicle and flag leaf angle. Stability parameters for grain yield per plant indicated that the genotypes Rewa 1329-4-26-1, Rewa 1326-11-67-2 and Rewa 1326-16-1 had regression coefficient less than one and mean value higher than average mean this depicted that these genotypes have wider adaptability and suitability for all micro- environments and the genotypes Rewa 1329-4-123-11, Rewa 1328-18-16 and Rewa 1326-3-34-4 had regression coefficient less than one and deviation from regression around zero were identified as highly stable and best suited for poor management practices like, direct seeded condition.

PENGARUH KEPEMIMPINAN TRANSFORMASIONAL, KEPUASAN KERJA, KEPERCAYAAN KEPADA PEMIMPIN TERHADAP KETERIKATAN KERJA KARYAWAN PADA PT. BALI BIJAKSANA NUSA DUA – BALI

2019 ◽  
Vol 14 (4) ◽  
pp. 2455
Author(s):  
I Putu Dharmawan Pradhana ◽  
Putu Nova Kusuma Hendra
Keyword(s):  
Job Satisfaction ◽  
Transformational Leadership ◽  
Employee Engagement ◽  
Regression Coefficient ◽  
Linear Regression Analysis ◽  
Simple Random Sampling ◽  
Multiple Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Positive Effects ◽  
Trust In Leaders

The purpose of this study was to determine the effect of transformational leadership, job satisfaction, trust in leaders on employee engagement at PT.Bali Bijaksana Nusa Dua – Bali. The number of samples in this study were 75 employees with a simple random sampling method. Data collection used questionnaire. The data analysis technique used is the classical assumption test, multiple linear regression analysis, t-test, F-test and test coefficient of determination. The results of the study show that there are positive and partial positive effects of transformational leadership, job satisfaction, and trust in leaders in increasing employee engagement at PT. Bali Bijaksana Nusa Dua – Bali. The results showed that the transformational leadership regression coefficient (X1) was 0.268 with a value that meant that each increase in transformational leadership variables could increase employee engagement at PT. Bali Bijaksana Nusa Dua – Bali. Job satisfaction regression coefficient (X2) is equal to 0.303, which means that every increase in job satisfaction variables can increase employee engagement at PT. Bali Bijaksana Nusa Dua – Bali. Regression coefficient value to leader (X3) is equal to 0.256, which means that every increase in the trust variable in the leader can increase employee engagement at PT. Bali Bijaksana Nusa Dua – Bali. As  the results of the determination coefficient of 0.657, its means that 65.7% can explain the model or influence of each variable on work engagement, while the rest (100% -65.7% = 34,3%) is explained by other reasons outside research model.

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