scholarly journals Row–Col and Bayesian approach seeking to improve the predictive capacity and selection of passion fruit

2022 ◽  
Vol 79 (4) ◽  
Author(s):  
André Oliveira Souza ◽  
Alexandre Pio Viana ◽  
Fabyano Fonseca e Silva ◽  
Camila Ferreira Azevedo ◽  
Flavia Alves da Silva ◽  
...  
Keyword(s):  
Bayesian Approach ◽  
Passion Fruit ◽  
Predictive Capacity ◽  
Selection Of

scholarly journals Clonal selection of Eucalyptus grandis x Eucalyptus globulus for productivity, adaptability, and stability, using SNP markers

2016 ◽  
Vol 65 (2) ◽  
pp. 30-38 ◽  
Author(s):  
D. Torres-Dini ◽  
A. C. P. Nunes ◽  
A. Aguiar ◽  
N. Nikichuk ◽  
C. Centurión ◽  
...  
Keyword(s):  
Eucalyptus Globulus ◽  
Environmental Changes ◽  
Clonal Selection ◽  
Eucalyptus Grandis ◽  
Small Population ◽  
Snp Markers ◽  
Hybrid Population ◽  
Environment Interaction ◽  
Predictive Capacity ◽  
Selection Of

Abstract In Uruguay, reforestations with Eucalyptus sp. is of fundamental importance to supply paper, pulp, and wood production. This study investigates genetic, productivity, stability, and adaptability parameters in the selection of Eucalypts grandis x Eucalyptus globulus full-sib hybrid clones. The study was conducted in a clonal test, repeated in two different soils types, in Rio Negro State, Uruguay. The population was characterized phenotypically for diameter at breast height (dbh) and genotyped for SNP markers (EuCHIP60K chip). Mean dbh was similar between sites and the genotype–environment interaction was simple. We found high genotype correlation in clone performance between environments (0.708), indicating the possibility of selecting the same clones for both study locations. Mean heritability between clones (0.724), coefficient of individual genetic variation (10.9 %), and relative variation (0.916), suggest the possibility of gains (estimated at 3.1 % for both sites together) by selecting clones with higher growth rates. A total of 15,196 SNPs were used to confirm parentage and test a genomic selection model for dbh. The predictive capacity was negative (-0.15) given the small population size (78 individuals). The most adaptable material among the tested study sites presented higher values for SNP heterozygosity. Thus, using molecular markers to identify clones responsive to environmental changes can act as a powerful tool in Eucalyptus breeding programs. The hybrid population showed greater adaptability than E. globulus for this region.

A Survey of Bayesian Data Mining

Data Mining ◽  
2011 ◽  
pp. 1-26 ◽  
Author(s):  
Stefan Arnborg
Keyword(s):  
Data Mining ◽  
Bayesian Analysis ◽  
Graphical Models ◽  
Bayesian Approach ◽  
Data Sets ◽  
Media Distribution ◽  
Dirichlet Prior ◽  
Approach Problem ◽  
The Bayesian Approach ◽  
Selection Of

This chapter reviews the fundamentals of inference, and gives a motivation for Bayesian analysis. The method is illustrated with dependency tests in data sets with categorical data variables, and the Dirichlet prior distributions. Principles and problems for deriving causality conclusions are reviewed, and illustrated with Simpson’s paradox. The selection of decomposable and directed graphical models illustrates the Bayesian approach. Bayesian and EM classification is shortly described. The material is illustrated on two cases, one in personalization of media distribution, one in schizophrenia research. These cases are illustrations of how to approach problem types that exist in many other application areas.

scholarly journals Ecosystem considerations in Alaska: the value of qualitative assessments

2016 ◽  
Vol 74 (1) ◽  
pp. 421-430 ◽  
Author(s):  
Stephani G. Zador ◽  
Kirstin K. Holsman ◽  
Kerim Y. Aydin ◽  
Sarah K. Gaichas
Keyword(s):  
Fisheries Management ◽  
Ecosystem Approach ◽  
Lessons Learned ◽  
Report Cards ◽  
Qualitative Synthesis ◽  
Unexpected Events ◽  
Predictive Capacity ◽  
New Information ◽  
New Ideas ◽  
Selection Of

The application of ecosystem considerations, and in particular ecosystem report cards, in federal groundfish fisheries management in Alaska can be described as an ecosystem approach to fisheries management (EAFM). Ecosystem information is provided to managers to establish an ecosystem context within which deliberations of fisheries quota occur. Our goal is to make the case for the need for qualitative ecosystem assessments in EAFM, specifically that qualitative synthesis has advantages worthy to keep a permanent place at the fisheries management table. These advantages include flexibility and speed in responding to and synthesizing new information from a variety of sources. First, we use the development of indicator-based ecosystem report cards as an example of adapting ecosystem information to management needs. Second, we review lessons learned and provide suggestions for best practices for applying EAFM to large and diverse fisheries in multiple marine ecosystems. Adapting ecosystem indicator information to better suit the needs of fisheries managers resulted in succinct report cards that summarize ecosystem trends, complementing more detailed ecosystem information to provide context for EAFM. There were several lessons learned in the process of developing the ecosystem report cards. The selection of indicators for each region was influenced by geography, the extent of scientific knowledge/data, and the particular expertise of the selection teams. Optimizing the opportunity to qualitatively incorporate ecosystem information into management decisions requires a good understanding of the management system in question. We found that frequent dialogue with managers and other stakeholders leads to adaptive products. We believe that there will always be a need for qualitative ecosystem assessment because it allows for rapid incorporation of new ideas and data and unexpected events. As we build modelling and predictive capacity, we will still need qualitative synthesis to capture events outside the bounds of current models and to detect impacts of the unexpected.

scholarly journals Anticipated selection for intrapopulation breeding of passion fruit

2017 ◽  
Vol 39 (2) ◽  
pp. 143 ◽  
Author(s):  
Natan Ramos Cavalcante ◽  
Willian Krause ◽  
Alexandre Pio Viana ◽  
Celice Alexandre Silva ◽  
Keithi Karla Xavier Porto ◽  
...  
Keyword(s):  
Fruit Production ◽  
Passion Fruit ◽  
First Year ◽  
State University ◽  
Mato Grosso ◽  
Coincidence Index ◽  
Selection For ◽  
Fruit Mass ◽  
Selection Of ◽  
Production Characteristics

 The aim of this work was to verify the efficiency of the anticipated selection of superior plants in intrapopulation breeding of passion fruit. The experiment was conducted at the Mato Grosso State University experimental area. Eight populations were evaluated. Planting was carried out in August 2010 following the randomized blocks experimental design, with ten repeats and ten plants per plot. The production characteristics of mass and number of fruits were evaluated from data obtained from two cultivation periods, the first year and the full two-year cycle of culture. Estimates of genetic parameters indicate the possibility of selection gains. The accuracies of fruit production, fruit number and fruit mass characteristics had high magnitude, independent of the selection cycle. Coincidence index estimates were high for all characteristics. Based on the results, early selection (first year) was efficient and reduced the time of selection for the best plants and can be used for passion fruit breeding. 

scholarly journals Selection of somaclonal variants of maracuyá (passiflora Edulis var Flavicarpa. Deneger) tolerants to water deficit

2020 ◽  
Vol 22 (2) ◽  
pp. 44-52
Author(s):  
Ivan Dario Loaiza Campiño ◽  
Neftalí Mesa López ◽  
Andrés Mauricio Villegas Hiencapié
Keyword(s):  
Water Deficit ◽  
In Vitro Selection ◽  
Agricultural Sector ◽  
Passion Fruit ◽  
Leaf Width ◽  
Direct Organogenesis ◽  
Peg 6000 ◽  
Somaclonal Variants ◽  
Selection Of

Climate change will have an impact on the Colombian agricultural sector, by 2050 increases in temperature and distribution of erratic rainfall are expected. Passion fruit cultivation does not tolerate water deficit, it reduces flower induction, generates fruit drop and defoliation. To tackle this problem, somaclonal variants (VS) of passion fruit were selected in-vitro, seeking tolerance to water deficit. Four phases were developed: I) callogenesis, II) direct and indirect organogenesis, II) Induction and evaluation of the water deficit with Polyethylene glycol 6000 (PEG 6000) and IV) in vitro selection of VS by morphometric measurements, chlorophyll and total sugars contents. Differences in callogenesis were found with different concentrations of 2,4-D, the concentration of 2 mg • L-1 presented better results producing calluses in less time and in greater quantity (8 days, 90% of the leaf area). In indirect and direct organogenesis the medium MS + ANA + BAP (0.3: 0.6), showed significant statistical differences with respect to other means, for the variables root length (15.14 cm), stem (16.72 cm) and leaves ( 14.51 cm) and root thickness (0.76 cm) stem (1.25) and leaf width (6.75). The influence of PEG 6000 showed significant differences, the treatment with 30 g • L-1 showed the smallest leaf width, the greatest width was found in 25 g • L-1. Statistical differences were found in chlorophyll levels and total sugar contents, the highest contents were recorded in the VS 25VS1, showing the possibility of obtaining seedlings tolerant to the water deficit of passion fruit by inducing somaclonal variation.

Bayesian Approach to Parameter Estimation and Selection of Growth Models of Tumor Cells

2017 ◽  
Author(s):  
JOSE MIR JUSTINO DA COSTA ◽  
Wellington Betencurte da Silva ◽  
JULIO CESAR SAMPAIO DUTRA ◽  
Adriana da Mata
Keyword(s):  
Parameter Estimation ◽  
Tumor Cells ◽  
Bayesian Approach ◽  
Growth Models ◽  
Selection Of

scholarly journals Parametric and non-parametric indexes applied in the selection of sour passion fruit progenies

2018 ◽  
Vol 40 (1) ◽  
Author(s):  
Edinéia Zulian Dalbosco ◽  
Willian Krause ◽  
Leonarda Grillo Neves ◽  
Dejânia Vieira de Araújo ◽  
Kemely Mara Ramalho Hiega ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Passion Fruit ◽  
Pulp Yield ◽  
Economic Weights ◽  
Selection Indices ◽  
Selection Indexes ◽  
Genetic Standard Deviation ◽  
Selection Of ◽  
Sour Passion Fruit ◽  
Non Parametric

Abstract Several traits must be observed in the selection of sour passion fruit progenies. For such, selection indices could be used for gradually increasing the frequency of favorable genotypes for the set of the traits of interest. This study aimed to compare parametric and non-parametric selection indices to be used in the selection of passion fruit progenies and identify the best economic weights. Thus, 118 full-sib families and three controls were assessed for days regarding flowering, productivity in kg ha-1 year, fruit mass in g, number of fruits, average length of fruits in mm, average fruit diameter in mm, fruit shape, average shell thickness in mm, pulp yield, pulp color, total soluble solids, titratable acidity and SS/ATT ratio. The non-parametric selection indexes used to obtain genetic gains were Mulamba and Mock, genotype-ideotype distance, multiplicative and Elston. Smith and Hazel, Williams and Pesek and Baker parametric indexes were used, with different economic weights attributed. The Mulamba and Mock, genotype-ideotype distance nonparametric selection indexes and the Williams parametric index showed satisfactory and balanced gains. The genetic variation coefficient, genetic standard deviation and random weight economic weights provided higher gains for non-parametric selection indexes. Similar gains were obtained for parametric indexes, regardless of assigned weight, except for Pesek and Baker, whose genetic standard deviation provided the highest gain.

Sign in / Sign up

Export Citation Format

Share Document