scholarly journals Graphical analysis to determine the stability and adaptability of yield characteristics of dwarf cashew trees

2021 ◽  
Vol 15 ◽  
Author(s):  
Gilberto Ken Iti Yokomizo ◽  
Kuang Hongyu ◽  
Francisco Das Chagas Vidal Neto ◽  
Dheyne Silva Melo ◽  
Luiz Augusto Lopes Serrano
Keyword(s):  
Experimental Design ◽  
Genetic Improvement ◽  
Graphical Analysis ◽  
Gge Biplot ◽  
Northeast Region ◽  
Test Characteristics ◽  
Effective Selection ◽  
General Average ◽  
Improvement Programs ◽  
The Stability

The cashew culture provides jobs and boosts the economy of the Northeast region and is therefore of great socioeconomic importance. In genetic improvement programs, the existence of an interaction between genotypes and environments has been observed, making studies of adaptability and stability essential for effective selection. Thus, the objective was to study the performance of early dwarf cashew clones using the GGE Biplot in three agricultural years (2016–2018). The experimental design was in randomized blocks with 25 treatments (clones) and three replications. The plot consisted of four plants spaced 8 × 8 m apart. The variables evaluated were nut yield throughout the harvest (PRC), average nut weight (PMC), and percentage of nuts pierced (PCF). The clones most characterized as ideotypes were T25, T14, T7, T8, T2, T10, T15, and T22 for PRC; T12, T1, and T16 for PMC; and T5, T24, T21, and T8 for PCF, with coincidence for T8 in PC and PCF. Clones with values above the general average, with emphasis on stability, were T14 and T2 for PRC; T12, T1, T16, T8, and T22 for PMC; and T5 and T22 for PCF. The years with test characteristics, that is, those with average environmental factors for all years, were 2016 for PRC and 2018 for PCF, with no test year for PMC; the every years were more discriminating to PCF, with the exception of 2016 for PRC.

scholarly journals EVALUATION OF CORN HYBRIDS UNDER CONTRASTING WATER AVAILABILITY CONDITIONS

2016 ◽  
Vol 29 (4) ◽  
pp. 927-934 ◽  
Author(s):  
WILIAN HENRIQUE DINIZ BUSO ◽  
EMMANUEL ARNHOLD
Keyword(s):  
Experimental Design ◽  
Genetic Variability ◽  
Water Availability ◽  
Graphical Analysis ◽  
Two Dimensional ◽  
Gge Biplot ◽  
Brazilian Cerrado ◽  
Corn Hybrids ◽  
Random Block ◽  
Different Seasons

ABSTRACT The current study aimed to assess adaptability and stability of corn hybrids regarding grain yields when sown in three different seasons in the Brazilian cerrado. The research was carried out at the Experimental Farm of the IF Goiano, campus in Ceres - GO. Pre-sowing fertilization was made with 20 kg ha-1 of nitrogen, 150 kg ha-1 of phosphorus and 80 kg ha-1 of potassium (04-30-16 formulation). Data were analyzed in a random block experimental design. We assessed tem corn hybrids (Truck, Fórmula, P30F53, P3646H, P30F35H, AGN 30A77H, AGN 30A37H, AG 8088PRO, DKB 390 and DKB Bi9440) in three sowing seasons (Nov. 18, 2011; Jan. 31, 2012 and Feb. 20, 2012) with three replications. Harvests were held on Apr. 4, 2012; Jun. 10, 2012 and Jul. 1, 2012. Each hybrid was assessed on yielding; and a graphical analysis was made to contrast hybrids and sowing seasons regarding stability and adaptability. Results showed a significant effect of the interaction between hybrids and sowing times. Therefore, we may state that the best hybrid in an environment would not be necessarily good in another. Thereby, we can infer that drought and corn genetic variability have diverse behaviors in each season. Over the two-dimensional graphics generated by GGE Biplot method, we observed an increased adaptability of AGN 30A77H when sown on Nov. 18, 2011 and on Jan. 31, 2012, followed by Fórmula; however, for P30F35H, it was on Feb. 20, 2012.

scholarly journals Phenotypic adaptability and stability of herbaceous cotton genotypes in the Semiarid region of the Northeast of Brazil

2020 ◽  
Vol 24 (12) ◽  
pp. 800-805
Author(s):  
Ruan dos S. Silva ◽  
Francisco J. C. Farias ◽  
Paulo E. Teodoro ◽  
José J. V. Cavalcanti ◽  
Luiz P. de Carvalho ◽  
...  
Keyword(s):  
Experimental Design ◽  
Rio Grande ◽  
Semiarid Region ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Gossypium Hirsutum L ◽  
Northeast Region ◽  
Biplot Analysis ◽  
Cotton Genotypes ◽  
Genotype Versus

ABSTRACT Cotton (Gossypium hirsutum L.) crop areas in the Northeast region of Brazil present high edaphoclimatic variability, which contributes to a strong genotype versus environment interaction (G × E). This situation requires the use of adaptability and stability methodologies to study G × E interaction before the selection and recommendation of cultivars. Among these methodologies, the genotype + G × E (GGE) biplot analysis has been currently used and highly recommended. Thus, the objective of this study was to evaluate the G × E of cotton genotypes through GGE biplot analysis, focusing on the identification of adapted and stable genotypes for the Semiarid region of the Northeast of Brazil. Four crop value and use tests were conducted in the municipalities of Apodi, state of Rio Grande do Norte, and Barbalha, state of Ceará, Brazil, in 2016 and 2017. A randomized block experimental design, with 17 treatments and four repetitions, was used. The treatments consisted of 17 cotton genotypes. The variables evaluated were: cotton seed and fiber yields. According to the analysis, the genotypes CNPA BA 2011-4436, CNPA BA 2011-1197, and CNPA BA 2010-1174 were stable and presented high adaptability to the evaluated region.

scholarly journals Grain Yield Performance and Parametric Stability Statistics of Tef {Eragrostis tef (Zucc) Trotter} Genotypes in Tigray, Ethiopia

2020 ◽  
Vol 2 (1) ◽  
pp. p70
Author(s):  
Chekole Nigus ◽  
Yanos G Mariam ◽  
Hailegbreal Kinfe ◽  
Brhanu Melese ◽  
Ataklty Mekonen
Keyword(s):  
Grain Yield ◽  
Static Stability ◽  
Eragrostis Tef ◽  
Gge Biplot ◽  
Parametric Stability ◽  
Yield Performance ◽  
Effective Selection ◽  
The Mean ◽  
The Stability ◽  
Stability Statistics

The most constraints of tef productions are lodging, drought, low yield cultivars; insect and disease affected the growth of tef. These, factors causes inconsistence performance yield due to GEI. The objective was to evaluate tef genotypes on their yield performance, stability and parametric stability to select most independent and informative statistics method. The experiment was conducted at four locations for two seasons; with design of RCBD three replications, two standard checks and 19 tef genotypes. Data was collected on grain yield and analyzed by R software and STABILITYSOFT. The analysis of variance for the combined mean of grain yield showed that there was significance difference (P<0.001) between genotypes, environments and GEI. Yield performance was influenced by Environments and GEI. The mean grain yield of genotypes over GEI varies from 820.94kg/ha to 2438.90kg/ha, while the genotype grain yield was ranged from 1382 to 1989kg/ha. G19, G17 and G6 were identified the higher grain yield performance over seven environments. Whereas, G8 and G11 were the lowest yielding tef genotypes. Nine parametric methods and GGE biplot were used to evaluate the stability of the genotypes. G19 was the most stable following G17 and would be grown for unfavorable growing environments. However, G6 was stable for favorable environmental condition. G19 and G17 had static stability and fitting for area faced with erratic rain fall. Even though, parametric stability did not show a positive and statistically significant correlation with mean yield the Mean variance component (θi) is selected with GGE biplot for evaluation of tef genotypes in the development of cultivar. Effective selection of variety would be best if mega-environment, representative and discriminating testing areas are identified.

scholarly journals GGE biplot for stability and adaptability in cashew tree clones

2018 ◽  
Vol 12 (3) ◽  
pp. 162
Author(s):  
Gilberto Ken Iti Yokomizo ◽  
Francisco Das Chagas Vidal Neto ◽  
Kuang Hongyu ◽  
Levi De Moura Barros
Keyword(s):  
Experimental Design ◽  
Genetic Improvement ◽  
Gge Biplot ◽  
Average Mass ◽  
Cashew Tree ◽  
Genotype Versus ◽  
Early Harvest ◽  
Selection Of

The interaction genotype versus environment makes it difficult the genetic improvement of the species for the selection of more adapted and stable genotypes. Thus, the objective of this work was to evaluate new clones of early dwarf cashews, in terms of stability and adaptability, employing the GGE biplot methodology. The experimental design was based on randomized blocks with four replications and 15 treatments (different clones). The variables evaluated were cashew production per plant (PCP), average mass of chashew (MMC) and early harvest (PRE). The clones G1 and G3 for MMC, G15, G2, G14 and G8 for PRE and G3, G10 and G2 for PCP approached the ideotype; the clones identified as top for each characteristic were not coincident; the majority of the clones were stable for MMC, while for PRE and PCP were not stable; the clone G4 had the best average in PRE, but with low stability; in the GGE biplot the environments A3 for MMC, A4 to PRE and A5 for PCP were the most discriminating; all environments had greater contribution in the differentiation of clones in PRE and MMC, for PCP were the environments A4 and A5; in relation at the average representativeness the environments A1 in MMC and A2 for PRE and PCP stood out.

Yield Stability Analysis in An Underutilized Legume ‘Winged Bean’ (Psophocarpus tetragonolobus L.)

2020 ◽  
Author(s):  
Jitendra Kumar Tiwari ◽  
Raja Ram Kanwar ◽  
Rajendra Kumar Yadav ◽  
Anil Kumar Singh
Keyword(s):  
Graphical Analysis ◽  
Yield Stability ◽  
Winged Bean ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Psophocarpus Tetragonolobus ◽  
Test Environment ◽  
Commercial Cultivation ◽  
Improvement Programs ◽  
The Tropics

Background: Winged bean [Psophocarpus tetragonolobus (L.) DC] is a protein rich, underexploited leguminous vegetable of the tropics. It grows abundantly in hot and humid environments. The present investigation applied AMMI and GGE biplot techniques to study the patterns of GEI in 05 winged bean genotypes, to find high yielding and most stable genotype(s) suited to Chhattisgarh state of India. Methods: An experiment was carried out to ascertain the Gene × Environment interaction (GEI), yield stability and adaptability of 05 winged bean (Psophocarpus tetragonolobus L.) genotypes in Chhattisgarh India by using AMMI and GGE biplot models. Result: First and second component of AMMI model explained more than 84.10% of GEI variation. Genotype ‘AKWB-1’ exhibited maximum trait value with specific adaptation while genotypes ‘RMDWB-1’ and ‘Ambika 11-3’ showed general adoptability. GGE biplot model explained that genotypes ‘RMDWB-1’ and ‘AKWB-1’ were the best performers in all the environments excluding E4, while ‘Ambika 11-3’ was the best performer at location E4 regarding the graphical analysis models of AMMI and GGE biplot. Winged bean genotype ‘AKWB-1’ was the most stable genotype in all the test environment in terms of mean yield and it would be recommended for commercial cultivation in Chhattisgarh state. Other high yielding and stable genotypes i.e., RMDWB-1 and Ambika 11-3 can also be used as parents in winged bean improvement programs.

A Statistical Study of Process Variables to Optimize a High Speed Curtain Coater: Part I

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 20-26 ◽  
Author(s):  
PEEYUSH TRIPATHI ◽  
MARGARET JOYCE ◽  
PAUL D. FLEMING ◽  
MASAHIRO SUGIHARA
Keyword(s):  
Boundary Layer ◽  
Experimental Design ◽  
High Speed ◽  
Statistical Study ◽  
Process Variables ◽  
High Speeds ◽  
The Stability ◽  
Air Removal ◽  
Removal System

Using an experimental design approach, researchers altered process parameters and material prop-erties to stabilize the curtain of a pilot curtain coater at high speeds. Part I of this paper identifies the four significant variables that influence curtain stability. The boundary layer air removal system was critical to the stability of the curtain and base sheet roughness was found to be very important. A shear thinning coating rheology and higher curtain heights improved the curtain stability at high speeds. The sizing of the base sheet affected coverage and cur-tain stability because of its effect on base sheet wettability. The role of surfactant was inconclusive. Part II of this paper will report on further optimization of curtain stability with these four variables using a D-optimal partial-facto-rial design.

scholarly journals Application of Tissue Culture in Plant Reproduction

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 342
Author(s):  
Elena Corredoira ◽  
Rita L. Costa
Keyword(s):  
Tissue Culture ◽  
Genetic Improvement ◽  
Plant Reproduction ◽  
Climatic Conditions ◽  
Improvement Programs

The increasing degradation of forests, together with a higher demand for wood and fruit, has led to the need for more efficient trees adapted to the current climatic conditions and, thus, to the need for genetic improvement programs [...]

scholarly journals On the stability of Einstein universe in f(R, T, Rμν Tμν) gravity

2018 ◽  
Vol 33 (36) ◽  
pp. 1850216 ◽  
Author(s):  
M. Sharif ◽  
Arfa Waseem
Keyword(s):  
State Parameter ◽  
Big Bang ◽  
Graphical Analysis ◽  
Momentum Tensor ◽  
Field Equations ◽  
Einstein Universe ◽  
Existence And Stability ◽  
The Stability ◽  
The Big Bang ◽  
Big Bang Singularity

This paper investigates the existence and stability of Einstein universe in the context of f(R, T, Q) gravity, where Q = R[Formula: see text] T[Formula: see text]. Considering linear homogeneous perturbations around scale factor and energy density, we formulate static as well as perturbed field equations. We parametrize the stability regions corresponding to conserved as well as non-conserved energy–momentum tensor using linear equation of state parameter for particular models of this gravity. The graphical analysis concludes that for a suitable choice of parameters, stable regions of the Einstein universe are obtained which indicates that the big bang singularity can be avoided successfully by the emergent mechanism in non-minimal matter-curvature coupled gravity.

scholarly journals Population structure and genetic diversity analysis in Sali (Oryza sativa) rice germplasm of Assam using microsatellite markers

2021 ◽  
Vol 58 (2) ◽  
pp. 279-286
Author(s):  
Sandhani Saikia ◽  
Pratap Jyoti Handique ◽  
Mahendra K Modi
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Genetic Improvement ◽  
Crop Improvement ◽  
Mean Value ◽  
Diversity Analysis ◽  
Rice Cultivars ◽  
Improvement Program ◽  
Information Index ◽  
Improvement Programs

Genetic diversity is the source of novel allelic combinations that can be efficiently utilized in any crop improvement program. To facilitate future crop improvement programs in rice, a study was designed to identify the underlying genetic variations in the Sali rice germplasms of Assam using SSR markers. The 129 SSR markers that were used in the study amplified a total of 765 fragments with an average of 5.93 alleles per locus. The Shannon's Information Index was found to be in the range from 0.533 to 1.786. The Polymorphism Information Content (PIC) fell into the range from 0.304 to 0.691 with a mean value of 0.55. The overall FST value was found to be 0.519 that indicated the presence of genetic differentiation amongst the genotypes used in the study. The Sali population was divided into two clusters. The information obtained from the present study will facilitate the genetic improvement of Sali rice cultivars.

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