Early detection of dwarf off-types from micropropagated Cavendish bananas

1993 ◽  
Vol 33 (5) ◽  
pp. 639 ◽  
Author(s):  
MK Smith ◽  
SD Hamill
Keyword(s):  
Early Detection ◽  
Plant Height ◽  
Selection Criteria ◽  
New Guinea ◽  
Length Ratio ◽  
Petiole Length ◽  
Musa Sp ◽  
Subgroup Selection ◽  
Selection Of

A method was developed for early detection of dwarf off-types from micropropagated bananas (Musa sp., AAA Group, Cavendish subgroup). Selection of dwarfs was from glasshouse-grown plants, and although differences between dwarf and normal plants could be detected as early as 3 weeks from deflasking, discrimination was most effective at week 7, when the normal plants had reached a height of 18-20 cm. In order to develop selection criteria, known dwarf off-types and normal plants were micropropagated and established in a glasshouse. Measurements included plant height, petiole - - length, lamina length and width, and distance between leaves. Petiole length, lamina length, and the petiole to lamina length ratio provided the most promising selection criteria, with the dwarfs having significantly (P<0.01) smaller petioles and leaves than the normal plants. Selection was most effective when the plants were growing vigorously and uniformly. When growth became limiting, selection was more difficult. This was particularly apparent in plants that required repotting into larger containers and in micropropagated bananas grown in nurseries under suboptimal conditions. Plants were grown in the field and observed at bunch emergence, to verify trueness to type and to eliminate the possibility that off-types may have arisen in the normal and dwarf populations. A survey of these selection criteria with other Cavendish cultivars of various statures was also completed and the results suggest that dwarf and extra-dwarf off-types could be readily separated from the taller Cavendish cultivars Williams, New Guinea Cavendish, and Grande Naine.

Selection of one-dimensional sedimentation: models for on-line use

1995 ◽  
Vol 31 (2) ◽  
pp. 193-204 ◽  
Author(s):  
Koen Grijspeerdt ◽  
Peter Vanrolleghem ◽  
Willy Verstraete
Keyword(s):  
Steady State ◽  
Selection Criteria ◽  
Data Sets ◽  
Concentration Profiles ◽  
A Posteriori ◽  
One Dimensional ◽  
On Line ◽  
Dynamic Concentration ◽  
Selection Of ◽  
Modelling Task

A comparative study of several recently proposed one-dimensional sedimentation models has been made. This has been achieved by fitting these models to steady-state and dynamic concentration profiles obtained in a down-scaled secondary decanter. The models were evaluated with several a posteriori model selection criteria. Since the purpose of the modelling task is to do on-line simulations, the calculation time was used as one of the selection criteria. Finally, the practical identifiability of the models for the available data sets was also investigated. It could be concluded that the model of Takács et al. (1991) gave the most reliable results.

Individual effects in variation analysis: Model, software, and research design

2013 ◽  
Vol 25 (1) ◽  
pp. 89-118 ◽  
Author(s):  
John C. Paolillo
Keyword(s):  
Research Design ◽  
Fixed Effects ◽  
Selection Criteria ◽  
Current Approach ◽  
Variation Analysis ◽  
Analysis Model ◽  
Individual Level ◽  
Mixed Effects Modeling ◽  
Variationist Sociolinguistics ◽  
Selection Of

AbstractIndividual-level variation is a recurrent issue in variationist sociolinguistics. One current approach recommends addressing this via mixed-effects modeling. This paper shows that a closely related model with fixed effects for individual speakers can be directly estimated using Goldvarb. The consequences of employing different approaches to speaker variation are explored by using different model selection criteria. We conclude by discussing the relation of the statistical model to the assumptions of the research design, pointing out that nonrandom selection of speakers potentially violates the assumptions of models with random effects for speaker, and suggesting that a model with fixed effects for speakers may be a better alternative in these cases.

scholarly journals Integrative review of the nursing interventions used for the early detection of cervical uterine cancer

2011 ◽  
Vol 19 (2) ◽  
pp. 437-444 ◽  
Author(s):  
Camila Teixeira Moreira Vasconcelos ◽  
Marta Maria Coelho Damasceno ◽  
Francisca Elisângela Teixeira Lima ◽  
Ana Karina Bezerra Pinheiro
Keyword(s):  
Early Detection ◽  
Uterine Cancer ◽  
Nursing Interventions ◽  
Evidence Based ◽  
National Program ◽  
Cognitive Interventions ◽  
Social Interventions ◽  
Positive Effects ◽  
Effective Result ◽  
Selection Of

In a national program to combat cervical uterine cancer (CUC) four basic elements should exist: primary prevention, early detection, diagnosis/treatment and palliative care. Of these, early detection is the most effective modality. One of the purposes of Evidence-Based Practice (EBP) is to encourage the use of research results with the assistance provided, reinforcing the importance of research for clinical practice. This study aimed to evaluate the evidence available in the literature regarding effective nursing interventions for the early detection of CUC. The selection of articles was performed in the databases: Scopus, PubMed, CINAHL, Lilacs and Cochrane. The sample of this review consisted of seven articles, with evidence levels 1, 2 or 3. The behavioral, cognitive and social interventions, showed positive effects in the early detection of CUC, especially the interactive cognitive interventions. It is suggested, when appropriate, to use a combination of interventions in order to obtain a more effective result.

scholarly journals GENETIC DIVERGENCE AND MORPHO-AGRONOMIC PERFORMANCE OF JATROPHA CURCAS L. CLONES FOR SELECTION OF CLONAL VARIETIES

2016 ◽  
Vol 29 (4) ◽  
pp. 841-849
Author(s):  
ADRIANA QUEIROZ DE ALMEIDA ◽  
SIMONE ALVES SILVA ◽  
VANESSA DE OLIVEIRA ALMEIDA ◽  
DEOCLIDES RICARDO DE SOUZA ◽  
GILMARA DE MELO ARAÚJO
Keyword(s):  
Genetic Diversity ◽  
Multivariate Analysis ◽  
Plant Height ◽  
Genetic Divergence ◽  
Morphological Characterization ◽  
Stem Diameter ◽  
Agronomic Performance ◽  
And Performance ◽  
Lower Contribution ◽  
Selection Of

ABSTRACT The knowledge about genetic diversity of jatropha crop is important for genetic conservation resources and breeding of this species. The aim of this study was to evaluate the genetic diversity and performance of jatropha clones through morphological characterization to selection of clonal varieties for biofuels production. The clones were obtained through shoot cuttings from previous selection in a population of half-sibs progenies. The morphoagronomic analyses of clones was carried out at 180 days after transplantation and were evaluated plant height, stem diameter, number of primary branches and number of secondary branches, number of bunches and number of fruits per plant. Evaluating clones performance, significant results were found for the number of secondary branches. About analysis of genetic diversity, the measures of dissimilarity genetic varied from 0.62 to 13.11, this way, the UFRBPR14 and UFRBPR15 clones were more divergent. The Tocher method was efficient to verify formation of four groups. The characteristics that most contributed to the divergence among clones were branches number, height and number of bunches, and, stem diameter had lower contribution. The jatropha clones differed only in the secondary branches number and multivariate analysis showed divergence among the jatropha clones with formation of four groups. Also, branches number, plant height and number of bunches were characteristic that contributed to genetic divergence.

scholarly journals Selecting Fiction Books for a Children's Health Collection by M. Tan & S. Campbell

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Maria Tan ◽  
Sandy Campbell
Keyword(s):  
Health Literacy ◽  
Selection Criteria ◽  
English Language ◽  
Children's Health ◽  
Health Conditions ◽  
Children’S Health ◽  
Special Issue ◽  
Literary Works ◽  
Health Related ◽  
Selection Of

Books have long been recognized  resources for health literacy and healing (Fosson & Husband, 1984). Individuals with health conditions or disabilities or who are dealing with illness, disability or death among friends or loved ones, can find solace and affirmation in fictional works that depict characters coping with similar health conditions. This study asked the question “If we were to select a new collection of children’s health-related fiction in mid-2014, which books would we select and what selection criteria would we apply?”  The results of this study are a set of criteria for the selection of  current English language literary works with health-related content for the pre-kindergarten to Grade 6 (age 12) audience http://hdl.handle.net/10402/era.38842, a collection of books that are readily available to Canadian libraries - selected against these criteria http://hdl.handle.net/10402/era.38843, a special issue of the Deakin Review of Children’s Literature -  dedicated to juvenile health fiction, and book exhibits in two libraries to accompany the Deakin Review issue.

scholarly journals THE ESTIMATION OF PEAS COLLECTION IN THE ALTAI

2019 ◽  
pp. 48-52
Author(s):  
S. K. Shchukis ◽  
E. R. Shchukis
Keyword(s):  
Plant Height ◽  
Rapid Development ◽  
Climatic Conditions ◽  
Source Material ◽  
Pea Aphid ◽  
Diverse Source ◽  
Selection Of ◽  
Vast Territory

The article emphasizes the importance of peas as a source of vegetative protein, and indicates on insufficient areas under peas both in Russia and in the Altai. One of the reasons of reducing its acreage is the high costs on peas planting and protecting from pests, diseases and weeds. Climate changing contributes to rapid development of such harmful diseases as ascohitoz, bacteriosis, fusarium, rust, significant number of weevil, pea aphid and moth mullet. Considering the main directions in pea breeding, it should be emphasized that the Altai Area, with its vast territory and diverse natural and climatic conditions, requires highly productive, well-adapted varieties of different use which are capable to effectively use agro-climatic resources of different zones. All this requires the active study of the source material, the selection of new, economically valuable forms and their introduction into the breeding process. It has been noted that the production requires more advanced varieties, the development of which is impossible without the presence of diverse source material. The purpose of the study was to identify the best productive plants in the pea collection of 2012-2017. The material has been represented by 113 variety samples of domestic and foreign selection. The varieties with best productivity were ‘Mnogoplodny 163’, ‘Rheinperle’, ‘Flagman 12’, ‘806’9, ‘Varyag’, ‘Altaisky Usaty’, ‘Pioner’, ‘LittleMarwel’, ‘Mnogoplodny 27’, ‘Zeleny Tsukat’, ‘Ryadovoy’, ‘576/80’. The best forage productivity was produced by ‘Novosibirets’, ‘Varyag’, ‘Pino’, ‘Zeleny Tsukat’, ‘Mnogoplodny 105’. The most fast-ripening varieties were ‘Rheinperle’ and ‘Pyrama’. The samples ‘Novosibirets’, ‘Varyag’, ‘Pino’ and ‘8067’ were characterized with high plant height. The samples ‘Pyrama’, ‘Flagman 12’, ‘Novosibirets’, ‘Sihirobana-Kinusaja’, the line ‘312’ produced large-sized kernels. The great lodge resistance has been shown by ‘Altaisky Usaty’, ‘Svetozar’, ‘Kamerton’, ‘Flagman 12’.

scholarly journals Sensitivity of Food-Based Recommendations Developed Using Linear Programming to Model Input Data in Young Kenyan Children

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3485
Author(s):  
Karin J. Borgonjen-van den Berg ◽  
Jeanne H. M. de Vries ◽  
Prosper Chopera ◽  
Edith J. M. Feskens ◽  
Inge D. Brouwer
Keyword(s):  
Linear Programming ◽  
Dietary Intake ◽  
Selection Criteria ◽  
Input Data ◽  
Reference Scenario ◽  
Food Groups ◽  
Nutrient Requirement ◽  
Model Input ◽  
Alternative Scenarios ◽  
Selection Of

Food-based recommendations (FBR) developed using linear programming generally use dietary intake and energy and nutrient requirement data. It is still unknown to what extent the availability and selection of these data affect the developed FBR and identified problem nutrients. We used 24 h dietary recalls of 62 Kenyan children (4–6 years of age) to analyse the sensitivity of the FBR and problem nutrients to (1) dietary intake data, (2) selection criteria applied to these data and (3) energy and nutrient requirement data, using linear programming (Optifood©), by comparing a reference scenario with eight alternative scenarios. Replacing reported by estimated consumption frequencies increased the recommended frequencies in the FBR for most food groups while folate was no longer identified as a problem nutrient. Using the 10–90th instead of the 5–95th percentile of distribution to define minimum and maximum frequencies/week decreased the recommended frequencies in the FBR and doubled the number of problem nutrients. Other alternative scenarios negligibly affected the FBR and identified problem nutrients. Our study shows the importance of consumption frequencies for developing FBR and identifying problem nutrients by linear programming. We recommend that reported consumption frequencies and the 5–95th percentiles of distribution of reported frequencies be used to define the minimum and maximum frequencies.

scholarly journals A study on the selection criteria of different hotels of Delhi NCR in accordance to the hr policies and market trends

2017 ◽  
Vol 1 (1) ◽  
pp. 27-38
Author(s):  
Ayan Basak ◽  
Kavita Khanna
Keyword(s):  
Global Economy ◽  
Selection Criteria ◽  
Turnover Rate ◽  
Hotel Industry ◽  
Job Applicants ◽  
Medical Assistance ◽  
Job Selection ◽  
Market Trends ◽  
The Right ◽  
Selection Of

The hotel industry is one of the most booming industry contributing tremendous growth in the global economy. It has never got affected by any kind of recession or economic turmoil, and this happens because of the fact that individuals/ families would need services of hotel industry for various reasons of human activities like business, recreation, pilgrimage educational tour, historical tours, festivals, carnivals, medical assistance trip etc. and so on. The biggest apprehension about this industry is attrition/turnover rate of employees; and to trounce this matter, selection of the right candidate at the right profile for the right post is the way to success. Selection criteria include all the essential and desirable skills, attributes, experience, and education which an organization decides is necessary for a position. Selection criteria help to select the most capable, effective, suited, experienced, qualified, the person for the job. Applicants must demonstrate and prove the ways in which they will be of valued for the job and the organization. Job selection criteria are also known as key selection criteria or KSC. They are designed to help make the most accurate match between the requirements of a position and the skills of an applicant. For selecting the right candidate, perfect for a particular job, selection has to be well planned, tactically accurate and strategically correct, as there is a huge pressure of short listing, filtering and selecting the right candidate, which makes the whole exercise lengthy as well as painstaking.

scholarly journals PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DAN WEIGHTED PRODUCT (WP) DALAM SISTEM PENUNJANG PEMILIHAN LAPTOP TERFAVORIT MENGGUNAKAN GUI MATLAB

2018 ◽  
Vol 7 (1) ◽  
pp. 11-22
Author(s):  
Abdiel Pandapotan Manullang ◽  
Alan Prahutama ◽  
Rukun Santoso
Keyword(s):  
Selection Criteria ◽  
Random Access ◽  
Spare Parts ◽  
Access Memory ◽  
A Value ◽  
Battery Capacity ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Color Screen ◽  
Selection Of

Laptops have become an important requirement for most students is to support educational activities and business activities. The number of brands of laptops or types of laptops that exist makes consumers especially students have their own preferences in choosing a laptop. The method can be used to select the favorite laptop are SAW (Simple Additive weighting) and WP (Weighted Product). Both of these methods are the methods used to solve the problem of MADM (Multi Attribute Decision Making). There are 30 types of laptops that will be used in the selection of the favorite laptops.For the selection criteria for the type of laptop that is priced, RAM (Random Access Memory), HDD (hard drive), a processor, a VGA (Video Graphics Array), weight, color, screen size, service centers, warranty, availability of spare parts, battery capacity, equipped with OS and application software. Selection of the favorite type of laptop is done with the help of MATLAB (Graphical User Interface) GUI (Matrix Laboratory) as a computing tool. SAW method and WP, in this research showed the same results that the most favored type of laptop laptop mode DEL INSPIRON 15Z-5523 with a value preference for SAW method amounted to 0.9518 while the WP method amounted to 0.9511.Keywords: SAW, WP, Laptop, favorite, GUI 

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