scholarly journals Research Article Analysis of genetic divergence in sweet corn genotypes through hierarchical optimization methods

2019 ◽  
Vol 18 (3) ◽  
Author(s):  
F.J. Carvalho ◽  
G.M. Maciel ◽  
O.J. Marques ◽  
I.G. da Silva ◽  
G.D. Braga ◽  
...  
Keyword(s):  
Genetic Divergence ◽  
Sweet Corn ◽  
Optimization Methods ◽  
Hierarchical Optimization ◽  
Research Article ◽  
Article Analysis

scholarly journals Research Article Genetic divergence among inbred onion lines and correlation with heterosis and combining ability

2019 ◽  
Vol 18 (3) ◽  
Author(s):  
M.V. Faria ◽  
W.L. Zaluski ◽  
J. Rosa ◽  
E.S. Rossi ◽  
J.T.V. Resende ◽  
...  
Keyword(s):  
Genetic Divergence ◽  
Combining Ability ◽  
Research Article

scholarly journals Genetic Divergence in Corn Genotypes for High and Low Phosphorus in Pará, Brazil

2020 ◽  
pp. 82-90
Author(s):  
Weder Ferreira dos Santos ◽  
Lucas Carneiro Maciel ◽  
Benício Lourenço Duarte Júnior ◽  
Joênes Mucci Peluzio ◽  
Layanni Ferreira Sodré ◽  
...  
Keyword(s):  
Grain Yield ◽  
Genetic Divergence ◽  
Optimization Methods ◽  
Mahalanobis Distances ◽  
High Phosphorus ◽  
High Magnitude ◽  
Low Phosphorus ◽  
Ear Height ◽  
Genetic Dissimilarity ◽  
Santa Maria

Aims: The objective of this study was to estimate the genetic divergence between ten corn genotypes in the 2017/18 crop, under high and low phosphorus. Study Design: The experimental design used in each test was randomized blocks, the treatments were: ten genotypes in two levels of phosphorus and three replications. Place and Duration of Study: Sítio Vitória, municipality of Santa Maria das Barreiras, state of Pará, Brazil, in the 2017/18 crop. Methodology: The experimental plot consisted of four lines five meters long, spaced with 0.90 m between the lines, with approximately 55,000 plants per hectare in the harvest. The genotypes used: 2B655, AG 1051, AG 8088, AL BANDEIRANTE, ANHEMBI, BR 206, BRS 3046, CATIVERDE, ORION e PR 27D28. The following agronomic characteristics were evaluated: plant height, ear height, ear diameter, ear length, number of grains per row, yield per plant and grain yield. Genetic divergence was estimated from Mahalanobis distances and genotypes were grouped by Tocher optimization methods. Results: Genetic dissimilarity measurements, at each dose of phosphorus, showed a high magnitude (D2= 9.72 to 1484.87). Cluster analysis separated the genotypes into four groups at low phosphorus and two groups at high phosphorus. The characteristics that most contributed to genetic divergence, in the two levels of phosphorus, were yield per plant and grain yield. Conclusion: There was a higher genetic divergence between genotypes AG 1051 and BANDEIRANTE in the low phosphorus assay and between the genotypes ANHEMBI and AL BANDEIRANTE in the high phosphorus assay. With this, these crosses are promising to obtain lineages in both tests.

scholarly journals Research Article Quaternary origin and genetic divergence of the endemic cactus Mammillaria pectinifera in a changing landscape in the Tehuacán Valley, Mexico

2014 ◽  
Vol 13 (1) ◽  
pp. 73-88 ◽  
Author(s):  
A. Cornejo-Romero ◽  
J. Medina-Sánchez ◽  
T. Hernández-Hernández ◽  
B. Rendón-Aguilar ◽  
P.L. Valverde ◽  
...  
Keyword(s):  
Genetic Divergence ◽  
Tehuacán Valley ◽  
Research Article ◽  
Tehuacan Valley

scholarly journals Analysis of the genetic divergence of soybean lines through hierarchical and Tocher optimization methods

2016 ◽  
Vol 15 (4) ◽  
Author(s):  
D.A.V. Cantelli ◽  
O.T. Hamawaki ◽  
M.R. Rocha ◽  
A.P.O. Nogueira ◽  
R.L. Hamawaki ◽  
...  
Keyword(s):  
Genetic Divergence ◽  
Optimization Methods

scholarly journals Research Article Digital image analysis to quantify genetic divergence in passion fruit (Passiflora edulis) seeds

2019 ◽  
Vol 18 (3) ◽  
Author(s):  
L.R. Fachi ◽  
W. Krause ◽  
H.D. Vieira ◽  
D.V. Araújo ◽  
P.B. Luz ◽  
...  
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Genetic Divergence ◽  
Digital Image Analysis ◽  
Passion Fruit ◽  
Research Article

scholarly journals Genetic Divergence Among Safflower Genotypes (Carthamus tinctorius L.) by Multivariate Analyzes

2019 ◽  
Vol 11 (6) ◽  
pp. 363
Author(s):  
C. da S. Costa ◽  
V. P. Silva ◽  
J. P. E. Lira ◽  
R. Felipin-Azevedo ◽  
T. A. S. Gilio ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Genetic Divergence ◽  
Average Distance ◽  
Technical Information ◽  
Optimization Methods ◽  
Carthamus Tinctorius ◽  
Human Consumption ◽  
Multivariate Techniques ◽  
Productive Potential ◽  
Clustering Optimization

Carthamus tinctorius L. is an oil seed, used both for human consumption and for industrial purposes. It is a crop that presents wide adaptability to various ecophysiological conditions, although it presents great productive potential and wide adaptability, it is still necessary to obtain technical information regarding its cultivation and of cultivars adapted and improved. In this sense, the estimation of genetic divergence using multivariate techniques has become a common tool among breeders. In view of the above, this research aimed to evaluate the genetic divergence of safflower genotypes originate from the Germplasm Active Bank (BAG) of the Instituto Mato-grossense do Algodão (IMA-MT) by means of multivariate analysis, aiming at the extension of information of this culture. The genetic divergence was estimated using multivariate analysis based on the Euclidean average distance, using the clustering optimization methods of Tocher and Hierarchical “UPGMA”. The results obtained allowed to identify the existence of genetic divergence among the evaluated genotypes, highlighting genotypes 5 and 38, which presented greater genetic divergence, constituting in potential sources of interest for the use in program of genetic improvement that aim at the development of superior cultivars of safflower.

scholarly journals Research Article Genetic damage in Mexican and South American sweet corn varieties due to the herbicides nicosulfuron and topramezone

2019 ◽  
Vol 18 (2) ◽  
Author(s):  
M.S. Reynoso ◽  
C.M. Alvarez ◽  
L.L. De la Cruz ◽  
A.R.A. Villalobos ◽  
J.F.G. Landeros ◽  
...  
Keyword(s):  
Sweet Corn ◽  
South American ◽  
Genetic Damage ◽  
Research Article

scholarly journals Variation among pineapple half-sibs and selecting genitors based on potential genetic divergence

2021 ◽  
Vol 10 (3) ◽  
pp. 289-301
Author(s):  
José Severino de Lira Júnior ◽  
João Emmanoel Fernandes Bezerra ◽  
Vania Trindade Barrêtto Canuto ◽  
Diana Andrade dos Santos
Keyword(s):  
Genetic Divergence ◽  
Agronomic Traits ◽  
Plant Traits ◽  
Optimization Methods ◽  
Soluble Solids ◽  
Breeding Programs ◽  
Relative Contribution ◽  
Coefficients Of Variation ◽  
Cluster Optimization ◽  
Solids Content

Knowledge about variation and relative importance of agronomic traits for genetic divergence studies can reveal useful information to guide the breeding programs. The objective of this study was to evaluate the phenotypic variation, and select of pineapple half-sib seedlings based on genetic divergence of fruit and plant traits. 'Pérola' cultivar (female genitor) received a pollen mix as from cultivars 'MD-2', 'BRS Imperial' and 'BRS Vitória' (male genitors). Four hundred twenty-nine F1 individuals propagated from seeds were evaluated under field conditions. Descriptive statistics, Singh's (1981) relative contribution, and Tocher's cluster optimization methods based on the distances matrix were estimated. Coefficients of variation ranged from 9.89 % to 63.79 %. Regarding total variance, fruit traits grouped 52.69%, while plant traits accumulated 47.30%. These results demonstrated that evaluated traits contribute for half-sib progeny relative discrimination and that none of them should be discarded for studies of diversity. Among the 12 heterotic clusters formed, group VII, IX and VIII are recommended to compose hybridization blocks and evaluation cycles of phenotypic stability for use per se. These groups have a broad heterotic potential, and desirable agronomic traits, mainly regarding to high means for fruit mass without crown (FMWC) upper than 4,000g and soluble solids content (SSC) around 20-21°Brix, which can be used by the IPA’s pineapple breeding program.

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