Relevant bibliographies by topics / Trait

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Trait'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Trait.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Trait"

1

Britt, Thomas W., and James A. Shepperd. "Trait Relevance and Trait Assessment." Personality and Social Psychology Review 3, no. 2 (May 1999): 108–22. http://dx.doi.org/10.1207/s15327957pspr0302_2.

Full text
Abstract:
Growing agreement exists among psychologists that all traits are not equally relevant to allpeople. The assumption that traits differ in their relevance across individuals has implications for psychometric theory and the assessment of reliability and validity. Specifically, the less relevant a trait is to an individual, the more error that person is contributing to the measurement process. This article discusses the construct of trait relevance, explicates why differences in trait relevance need to be incorporated into models of trait assessment, and suggests new possibilities for the measurement of trait relevance.
APA, Harvard, Vancouver, ISO, and other styles
2

Xu, Liguo, Dalong Pang, Jing Ge, and Youmin Xi. "Understanding the categories of leader traits in socialization: the case of Haier group’s CEO in China." Nankai Business Review International 8, no. 3 (August 7, 2017): 344–66. http://dx.doi.org/10.1108/nbri-11-2016-0039.

Full text
Abstract:
Purpose The purpose of this study is to explore the categories of leader traits, their generation and their relationships in leaders’ socialization. Design/methodology/approach The authors take the case study method, which is the most suitable method to answer research questions on why and how to fulfill the study purpose on the basis of the case of Ruimin Zhang. Findings Leader traits are classified into four categories with respect to socialization, namely, root trait, driving trait, thinking trait and affair trait. The root trait and the driving trait form from the leader’s insight with the impact of key events, mutually promote and consolidate each other, and together derive the thinking trait and the affair trait on the basis of critical events, culture, family, education, etc. The thinking trait is the premise of the affair trait to be expressed in leadership behavior. The root trait and the driving trait together determine a leader’s growth direction and efficiency and can distinguish leaders from non-leaders. The thinking trait and the affair trait together determine the pattern and effectiveness of leadership behavior and can distinguish effective leadership from ineffective leadership. Research limitations/implications This study transcends prior integral leader trait research by categorizing leader traits from the socialization perspective, makes a clear delineation on the interrelationships among categories of leader traits, analyzes their holistic functions on the leaders, reveals the formation and relationship mechanism of leader traits and identifies the types of leader traits that can work as the standards for distinguishing effective leaders from ineffective leaders or non-leaders. Originality/value This study promotes the development of the leader trait theory in the classification, formations, relationships and overall effect of leader traits.
APA, Harvard, Vancouver, ISO, and other styles
3

Dawson, Samantha K., Carlos Pérez Carmona, Manuela González‐Suárez, Mari Jönsson, Filipe Chichorro, Max Mallen‐Cooper, Yolanda Melero, Helen Moor, John P. Simaika, and Alexander Bradley Duthie. "The traits of “trait ecologists”: An analysis of the use of trait and functional trait terminology." Ecology and Evolution 11, no. 23 (November 11, 2021): 16434–45. http://dx.doi.org/10.1002/ece3.8321.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Obertegger, Ulrike, and Robert Lee Wallace. "Trait-Based Research on Rotifera: The Holy Grail or Just Messy?" Water 15, no. 8 (April 8, 2023): 1459. http://dx.doi.org/10.3390/w15081459.

Full text
Abstract:
In recent years, trait-based research on plankton has gained interest because of its potential to uncover general roles in ecology. While trait categories for phytoplankton and crustaceans have been posited, rotifer trait assessment has lagged behind. Here, we reviewed the literature to assess traits key to their life histories and provided a data matrix for the 138 valid genera of phylum Rotifera. We considered seven traits: habitat type, trophi type, presence of lorica and foot, predation defense attributes, corona type, and feeding traits. While most traits were morphological attributes and supposedly easy to assess, we were faced with several challenges regarding trait assignment. Feeding traits were especially difficult to assess for many genera because relevant information was missing. Our assembled trait matrix provides a foundation that will initiate additional research on rotifer functional diversity, diminish the misclassification of rotifer genera into trait categories, and facilitate studies across trophic levels.
APA, Harvard, Vancouver, ISO, and other styles
5

Li, Yanpeng, Yue Bin, Han Xu, Yunlong Ni, Ruyun Zhang, Wanhui Ye, and Juyu Lian. "Understanding Community Assembly Based on Functional Traits, Ontogenetic Stages, Habitat Types and Spatial Scales in a Subtropical Forest." Forests 10, no. 12 (November 21, 2019): 1055. http://dx.doi.org/10.3390/f10121055.

Full text
Abstract:
Community assembly in natural communities is commonly explained by stochastic and niche-based processes such as environmental filtering and biotic interactions. Many studies have inferred the importance of these processes using a trait-based approach, however, there are still unknowns around what factors affect the importance of different assembly processes in natural communities. In this study, the trait dispersion patterns of 134 species were examined across different functional traits, habitat types, ontogenetic stages and spatial scales from a 20-ha Dinghushan Forest Dynamic Plot in China. The results showed that (1) functional traits related to productivity such as specific leaf area and leaf area mainly showed functional clustering, indicating these two functional traits were more affected by environmental filtering. However, trait dispersion patterns depended on more than the ecological significances of functional traits. For example, trait dispersions of leaf dry matter content, leaf thickness and maximum height did not show consistent patterns across habitat types and ontogenetic stages, suggesting more complex mechanisms may operate on these traits; (2) the trait dispersion varied with the habitat types and ontogenetic stages. Specifically, we found that habitat types only affected the strength of trait dispersions for all the five traits, but ontogenetic stages influenced both the strength and direction of trait dispersions, which depended on the traits selected; (3) the relative importance of soil, topography and space to trait dispersion varied with ontogenetic stages. Topography and space were more important for trait dispersion of saplings but soil was more important for trait dispersion of adults; (4) biotic interactions dominated community assembly at smaller spatial scales but environmental filtering dominated community assembly at larger spatial scales. Overall, the results highlight the importance of functional traits, habitat types, ontogenetic stages and spatial scales to community assembly in natural communities.
APA, Harvard, Vancouver, ISO, and other styles
6

Devauchelle, B. "Trait pour trait." Annales de Chirurgie Plastique Esthétique 54, no. 1 (February 2009): 5–6. http://dx.doi.org/10.1016/j.anplas.2008.11.005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Lease, Loren R. "A descriptive study of African American deciduous dentition." Dental Anthropology Journal 26, no. 3 (September 1, 2018): 45–55. http://dx.doi.org/10.26575/daj.v26i3.51.

Full text
Abstract:
Descriptive studies of the deciduous dentition morphology have been presented as an inclusion in permanent dentition studies, the focus of archaeological populations or on specific traits within modern populations.The present study describes 25 morphological traits of deciduous dentition in two African American samples from Memphis, TN and Dallas, TX (N= 218), and a European American sample (N=100) from Cleveland, OH. These traits represent the most commonly used traits in population microevolution studies, describing various ancestral groups.Results indicate trait frequency variation between the two African American samples, as well as in comparison to European American samples. Traits varying in frequency between the two sample populations include maxillary lateral incisor shovel shape trait (69% vs. 46%), canine tuberculum dentale (40% vs. 22%), canine mesial ridge (3% vs. 7%), and maxillary posterior molar hypocone development (76% vs. 92%). Trait frequencies higher than found in previous studies include maxillary central incisor shovel shape trait (38%) and maxillary lateral incisor shovel shape trait (68%), canine tuberculum dentale (40%), maxillary molar complexity (20%), cusp six (33%) and seven (68%), and the Y-groove on the mandibular posterior molar (69%). Trait frequencies seen lower in previous studies include tuberculum dentale trait on both maxillary incisors (8% and 3%) and the hypocone development of the maxillary posterior molar (76%). The level of trait expression is informative when comparing populations, especially the molar traits. For example, Carabelli’s pit/fissure is the most common trait expression in African American samples, unlike European American samples.
APA, Harvard, Vancouver, ISO, and other styles
8

Ofria, Charles, Wei Huang, and Eric Torng. "On the Gradual Evolution of Complexity and the Sudden Emergence of Complex Features." Artificial Life 14, no. 3 (July 2008): 255–63. http://dx.doi.org/10.1162/artl.2008.14.3.14302.

Full text
Abstract:
Evolutionary theory explains the origin of complex organismal features through a combination of reusing and extending information from less-complex traits, and by needing to exploit only one of many unlikely pathways to a viable solution. While the appearance of a new trait may seem sudden, we show that the underlying information associated with each trait evolves gradually. We study this process using digital organisms, self-replicating computer programs that mutate and evolve novel traits, including complex logic operations. When a new complex trait first appears, its proper function immediately requires the coordinated operation of many genomic positions. As the information associated with a trait increases, the probability of its simultaneous introduction drops exponentially, so it is nearly impossible for a significantly complex trait to appear without reusing existing information. We show that the total information stored in the genome increases only marginally when a trait first appears. Furthermore, most of the information associated with a new trait is either correlated with existing traits or co-opted from traits that were lost in conjunction with the appearance of the new trait. Thus, while total genomic information increases incrementally, traits that require much more information can still arise during the evolutionary process.
APA, Harvard, Vancouver, ISO, and other styles
9

Poyatos, Rafael, Oliver Sus, Llorenç Badiella, Maurizio Mencuccini, and Jordi Martínez-Vilalta. "Gap-filling a spatially explicit plant trait database: comparing imputation methods and different levels of environmental information." Biogeosciences 15, no. 9 (May 4, 2018): 2601–17. http://dx.doi.org/10.5194/bg-15-2601-2018.

Full text
Abstract:
Abstract. The ubiquity of missing data in plant trait databases may hinder trait-based analyses of ecological patterns and processes. Spatially explicit datasets with information on intraspecific trait variability are rare but offer great promise in improving our understanding of functional biogeography. At the same time, they offer specific challenges in terms of data imputation. Here we compare statistical imputation approaches, using varying levels of environmental information, for five plant traits (leaf biomass to sapwood area ratio, leaf nitrogen content, maximum tree height, leaf mass per area and wood density) in a spatially explicit plant trait dataset of temperate and Mediterranean tree species (Ecological and Forest Inventory of Catalonia, IEFC, dataset for Catalonia, north-east Iberian Peninsula, 31 900 km2). We simulated gaps at different missingness levels (10–80 %) in a complete trait matrix, and we used overall trait means, species means, k nearest neighbours (kNN), ordinary and regression kriging, and multivariate imputation using chained equations (MICE) to impute missing trait values. We assessed these methods in terms of their accuracy and of their ability to preserve trait distributions, multi-trait correlation structure and bivariate trait relationships. The relatively good performance of mean and species mean imputations in terms of accuracy masked a poor representation of trait distributions and multivariate trait structure. Species identity improved MICE imputations for all traits, whereas forest structure and topography improved imputations for some traits. No method performed best consistently for the five studied traits, but, considering all traits and performance metrics, MICE informed by relevant ecological variables gave the best results. However, at higher missingness (> 30 %), species mean imputations and regression kriging tended to outperform MICE for some traits. MICE informed by relevant ecological variables allowed us to fill the gaps in the IEFC incomplete dataset (5495 plots) and quantify imputation uncertainty. Resulting spatial patterns of the studied traits in Catalan forests were broadly similar when using species means, regression kriging or the best-performing MICE application, but some important discrepancies were observed at the local level. Our results highlight the need to assess imputation quality beyond just imputation accuracy and show that including environmental information in statistical imputation approaches yields more plausible imputations in spatially explicit plant trait datasets.
APA, Harvard, Vancouver, ISO, and other styles
10

Persa, Reyna, Arthur Bernardeli, and Diego Jarquin. "Prediction Strategies for Leveraging Information of Associated Traits under Single- and Multi-Trait Approaches in Soybeans." Agriculture 10, no. 8 (July 22, 2020): 308. http://dx.doi.org/10.3390/agriculture10080308.

Full text
Abstract:
The availability of molecular markers has revolutionized conventional ways to improve genotypes in plant and animal breeding through genome-based predictions. Several models and methods have been developed to leverage the genomic information in the prediction context to allow more efficient ways to screen and select superior genotypes. In plant breeding, usually, grain yield (yield) is the main trait to drive the selection of superior genotypes; however, in many cases, the information of associated traits is also routinely collected and it can potentially be used to enhance the selection. In this research, we considered different prediction strategies to leverage the information of the associated traits ([AT]; full: all traits observed for the same genotype; and partial: some traits observed for the same genotype) under an alternative single-trait model and the multi-trait approach. The alternative single-trait model included the information of the AT for yield prediction via the phenotypic covariances while the multi-trait model jointly analyzed all the traits. The performance of these strategies was assessed using the marker and phenotypic information from the Soybean Nested Association Mapping (SoyNAM) project observed in Nebraska in 2012. The results showed that the alternative single-trait strategy, which combines the marker and the information of the AT, outperforms the multi-trait model by around 12% and the conventional single-trait strategy (baseline) by 25%. When no information on the AT was available for those genotypes in the testing sets, the multi-trait model reduced the baseline results by around 6%. For the cases where genotypes were partially observed (i.e., some traits observed but not others for the same genotype), the multi-trait strategy showed improvements of around 6% for yield and between 2% to 9% for the other traits. Hence, when yield drives the selection of superior genotypes, the single-trait and multi-trait genomic prediction will achieve significant improvements when some genotypes have been fully or partially tested, with the alternative single-trait model delivering the best results. These results provide empirical evidence of the usefulness of the AT for improving the predictive ability of prediction models for breeding applications.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Trait"

1

Brown, Rick D. "Understanding spontaneous trait inferences and spontaneous trait transference, the associability of primed trait constructs." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29185.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Joehanes, Roby. "Multiple-trait multiple-interval mapping of quantitative-trait loci." Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1605.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Minden, Vanessa [Verfasser]. "Functional traits of salt marsh plants : responses of morphology- and elemental-based traits to environmental contraints, trait-trait relationships and effects on ecosystem properties / Vanessa Minden." Oldenburg : BIS der Universität Oldenburg, 2010. http://d-nb.info/1050298829/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Norris, George W. "Exploring the trait-behavior relationship in leadership." Connect to resource, 2000. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1116875373.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Joehanes, Roby. "Generalized and multiple-trait extensions to Quantitative-Trait Locus mapping." Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1919.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Frazer, Paul. "Predicting Multi-Trait Motivation from Multi-Trait Personality in HR Professionals." Thesis, Capella University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10977294.

Full text
Abstract:

The research investigates the intersection of personality and motivation, and specifically, the predictive relationship between factors of the five-factor model of personality and the categories of the Assessment of Individual Motives-Questionnaire motivation model. Although significant research into multi-trait personality models exists, there is significantly less research into multi-trait motivation models and little research into how multi-trait models in these two fields intersect. No research exists within this field for human resource professionals. A canonical correlation analysis was chosen to properly represent all potential between-factor effects of the two variable sets. The resulting data met all assumptions and showed statistical significance. The results showed significance for the overall canonical correlation between the predictor and the outcome variables and showed that there were three statistically significant canonical functions between the two sets of variables. Four personality variables and three motivation variables met the statistical cutoff showing contribution to the canonical correlation. These results showed that the personality factors of Agreeableness and Conscientiousness negatively predicted the motivation category of Competitive. The personality factor of Extraversion predicted the motivation category of Cooperative, and the personality factor of Openness predicted the motivation category of Integrity of Self. These results suggest an opportunity for further investigation into the relationships between Openness and Integrity of Self, and between Conscientiousness and Competitive. Also, more canonical correlation research into this field may help understanding these complex relationships. Finally, extending this research to the public could provide a better understanding of personality and motivation outside the workplace.

APA, Harvard, Vancouver, ISO, and other styles
7

Henebry, Michael Lee. "Biological and Ecological Trait Associations and Analysis of Spatial and Intraspecific Variation in Fish Traits." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/33894.

Full text
Abstract:
Traits provide an informative approach to examine species-environment interactions. Often, species-by-species approaches are inefficient to generate generalizable ecological relationships and do not predict species responses to environmental changes based on specific traits species possess. Multiple lines of inquiry and multi-scale approaches are best for assessing environment-trait responses. This thesis examines important questions not specifically addressed before in traits-based research. Chapter one explores biological and ecological trait associations incorporating ontogenetic diet shifts for New River fishes. Niche shift analysis as a chapter one sub-objective quantitatively support where species-specific diet shifts likely occur. Strong biological-ecological trait associations, some intuitive and others not so intuitive, were found that relate biological structure to ecological function. Improved understanding of trait associations, including what factors influence others, supports inference of ecology of fishes. Chapters two and three examine spatial and intraspecific trait variability. Chapter two specifically examines large-scale life history trait variability along latitudinal gradients for twelve widely distributed fish species, including directionality of trait variation, and hypothesizing how optimal traits change with large-scale environmental factors. Strong positive and negative patterns found include average total length of newly hatched larvae, average total length at maturation, average spawning temperature, average egg diameter, and maximum length. These five traits are correlated with other adaptive attributes (i.e. growth rate, reproductive output, and longevity/population turnover rate). In contrast to latitudinal scale, Chapter three examines trait variability of white sucker (Catostomus commersonii) and fantail darter (Etheostoma flabellare) as a function of small-watershed scale spatial factors and anthropogenic disturbance. Toms Creek and Chestnut Creek white sucker and fantail darter displayed positive response to disturbance, contrary to past studies. Lower resource competition, and / or competitive exclusion of fishes with similar niche requirements are possible mechanisms. All three objectives support understanding of trait association and variability as a useful foundation in ecological applications and for formulating plans for conservation and management of species.
Master of Science
APA, Harvard, Vancouver, ISO, and other styles
8

Podisi, Baitsi Kingsley. "Quantitative trait loci mapping of sexual maturity traits applied to chicken breeding." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5561.

Full text
Abstract:
Many phenotypes are controlled by factors which include the genes, the environment, interactions between genes and interaction between the genotypes and the environment. Great strides have been made to understand how these various factors affect traits of agricultural, medical and environmental importance. The chicken is regarded as a model organism whose study would not only assist efforts towards increased agricultural productivity but also provide insight into the genetic determination of traits with potential application in understanding human health and disease. Detection of genomic regions or loci responsible for controlling quantitative traits (QTL) in poultry has focussed mainly on growth and production traits with limited information on reproductive traits. Most of the reported results have used additive-dominance models which are easy to implement because they ignore epistatic gene action despite indications that it may be important for traits with low heritability and high heterosis. The thesis presents results on the detection of loci and genetic mechanisms involved in sexual maturity traits through modelling both additive-dominance gene actions and epistasis. The study was conducted on an F2 broiler x White Leghorn layer cross for QTL detection for age, weight, abdominal fat, ovary weight, oviduct weight, comb weight, number of ovarian yellow follicles, a score for the persistence of the right oviduct and bone density. In addition, body weight QTL at 3, 6, 12, 24, 48 and 72 weeks of age, QTL for growth rate between the successive ages and QTL for the parameters of the growth curve were also detected. Most of the QTL for traits at sexual maturity acted additively. A few of the QTL explained a modest proportion of the phenotypic variation with most of the QTL explaining a small component of the cumulative proportion of the variation explained by the QTL. Body weight QTL were critical in determining the attainment of puberty. The broiler allele had positive effects on weight at first egg and negative effects on age at first egg. Most QTL affecting weight at first egg overlapped with QTL for age at first egg and for early growth rate (6-9 weeks) suggesting that growth rate QTL are intimately related to the onset of puberty. Specific QTL for early and adult growth were detected but most QTL had varying influence on growth throughout life. Chromosome 4 harboured most of QTL for the assessed traits which explained the highest proportion of the phenotypic variation in the traits confirming its critical role in influencing traits of economic importance. There was no evidence for epistasis for almost all the studied traits. Evidence for role of epistasis was significant for ovary weight and suggestive for both growth rate and abdominal fat.
APA, Harvard, Vancouver, ISO, and other styles
9

Lu, Yue. "Genetic mapping of quantitative trait loci for slow-rusting traits in wheat." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/32179.

Full text
Abstract:
Doctor of Philosophy
Department of Agronomy
Guihua Bai
Allan K. Fritz
Wheat leaf rust, caused by Puccinia triticina, is an important fungal disease worldwide. Growing resistant cultivars is an effective practice to reduce the losses caused by the disease, and using slow-rusting resistance genes can improve the durability of rust resistance in the cultivars. CI13227 is a winter wheat line that shows a high level of slow-rusting resistance to leaf rust and has been studied extensively. In this research, two recombinant inbreed line (RIL) populations derived from CI13227 x Suwon (104 RILs) and CI13227 x Everest (184 RILs) and one doubled haploid (DH) population derived from CI13227 x Lakin with 181 lines were used to identify quantitative trait loci (QTLs) for slow leaf rusting resistance. Each population and its parents were evaluated for slow-rusting traits in two greenhouse experiments. A selected set of 384 simple sequence repeat markers (SSRs), single nucleotide polymorphism markers (SNPs) derived from genotyping-by-sequencing (GBS-SNPs) or 90K-SNP chip (90K-SNPs) were analyzed in the three populations. Six QTLs for slow-rusting resistance, QLr.hwwgru-2DS, QLr.hwwgru-7BL, QLr.hwwgru-7AL, QLr.hwwgru-3B_1, QLr.hwwgru-3B_2, and QLr.hwwgru-1D were detected in the three populations with three stable QTLs, QLr.hwwgru-2DS, QLr.hwwgru-7BL and QLr.hwwgru-7AL. These were detected and validated by Kompetitive Allele-Specific PCR (KASP) markers converted from GBS-SNPs and 90K-SNPs in at least two populations. Another three QTLs were detected only in a single population, and either showed a minor effect or came from the susceptible parents. The KASP markers tightly linked to QLr.hwwgru-2DS (IWB34642, IWB8545 and GBS_snpj2228), QLr.hwwgru-7BL (GBS_snp1637 and IWB24039) and QLr.hwwgru-7AL (IWB73053 and IWB42182) are ready to be used in marker-assisted selection (MAS) to transfer these QTLs into wheat varieties to improve slow-rusting resistance in wheat.
APA, Harvard, Vancouver, ISO, and other styles
10

Clevinger, Elizabeth. "Mapping Quantitative Trait Loci for Soybean Quality Traits from Two Different Sources." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33468.

Full text
Abstract:
Soybeans are economically and agriculturally the most important legume in the world, providing protein and oil to the food and animal feed industries and base ingredients for hundreds of chemical products. Their value could be enhanced, however, if the oil and protein content remained high and the oligosaccharide and phytate contents were lowered to make soybeans more acceptable for human and animal consumption. A soybean population of 55 families segregating for genes controlling quality traits was chosen for this study. Both parental lines have high sucrose and low stachyose. The former contains a high level of phytate while the latter is low phytate. The objective of this experiment was to determine whether or not both parents had the same gene(s) for low stachyose. An additional objective was to determine quantitative trait loci (QTL) controlling quality traits: sucrose, stachyose and phytate. An acetonitrile precipitation method and a modified colorimetric method were used to determine amounts of sugars and phytate, respectively. The phenotypic data for stachyose was analyzed and it was determined that two recessive genes control low stachyose content in this population. A map was constructed using 141 SSR markers and 15 molecular linkage groups (MLGs) were identified. After analyzing trait and marker data in QTL Cartographer, potential QTL were found on MLGs: B1, C2, D1b, F, M and N. Sucrose and stachyose QTL were identified on B1, C2, M and N. Phytate QTL were observed on B1, D1b, F and N. The markers identified for quality traits in this population may be useful in marker-assisted selection and the germplasm should be useful for the development of a cultivar.
Master of Science
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Trait"

1

Trait pour traits. Paris: Belfond, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

1886-1965, Carpentier Marguerite-Jeanne, and Delestrade Yves, eds. Paris trait pour trait. Paris: Un, Deux... Quatre Editions, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Owens, Lorraine. Handwriting analysis: Trait combinations : clusters of basic traits that create another trait. Kansas City, MO: Kaleidoscope Industries, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Stéphane, Allarie, Barthélémy Philippe 1955-, and Griño Sylvia 1957-, eds. Barthélémy-Griño architectes: Frameworks = Trait pour trait. Basel: Birkhäuser, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Le trait. Paris: Harmattan, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Centre culturel français Arthur Rimbaud., ed. Trait d'union. Djibouti: Centre culturel français Arthur Rimbaud, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Morales, Anna S. Trait anxiety. Hauppauge, NY: Nova Science Publishers, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Lévêque, Claire-Aline. Trait d'union. Montréal: Beauchemin, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Villeneuve-d'Ascq (France). Musée d'art moderne., ed. Trait d'union. [Villeneuve d'Ascq]: Musée d'art moderne Lille métropole, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Cartier-Bresson, Henri. Trait pour trait: Les dessins d'Henri Cartier-Bresson. [Paris]: Arthaud, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Trait"

1

McDonald, Jennifer, and Tera Letzring. "Trait." In Encyclopedia of Personality and Individual Differences, 5541–52. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1272.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Turiault, Marc, Caroline Cohen, Guy Griebel, David E. Nichols, Britta Hahn, Gary Remington, Ronald F. Mucha, et al. "Trait." In Encyclopedia of Psychopharmacology, 1330. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_679.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Uther, William, Dunja Mladenić, Massimiliano Ciaramita, Bettina Berendt, Aleksander Kołcz, Marko Grobelnik, Dunja Mladenić, et al. "Trait." In Encyclopedia of Machine Learning, 990. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_845.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

McDonald, Jennifer, and Tera Letzring. "Trait." In Encyclopedia of Personality and Individual Differences, 1–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_1272-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Feng, Yu. "Trait." In The ECPH Encyclopedia of Psychology, 1. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_393-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Stuart Gillis, John. "Dynamic Trait." In Encyclopedia of Personality and Individual Differences, 1228–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1067.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Johnson, Laura. "Source Trait." In Encyclopedia of Personality and Individual Differences, 5150–51. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_2120.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Johnson, Laura. "Surface Trait." In Encyclopedia of Personality and Individual Differences, 5325–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_2122.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Ashton, Michael C. "Trait Specificity." In Encyclopedia of Personality and Individual Differences, 5556–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_2127.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kreitler, Shulamith, and Hans Kreitler. "Trait Dynamics." In The Cognitive Foundations of Personality Traits, 61–71. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-2227-4_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Trait"

1

Chiueh, Tzi-cker, and Randy Katz. "Trait." In the 1991 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/115790.115826.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Do, Heejin, Yunsu Kim, and Gary Geunbae Lee. "Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring." In Findings of the Association for Computational Linguistics: ACL 2023. Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.findings-acl.98.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Huh, Ik-Soo, Sohee Oh, Eunjin Lee, and Taesung Park. "Compairing quantitative trait analysis to qualitative trait analysis for complex traits disease: A genome wide association study for hyperlipidemia." In 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2010. http://dx.doi.org/10.1109/bibmw.2010.5703825.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Будак, Александр, and Олег Харчук. "Изучение влияния условий года и генотипа на вариабельность и наследуемость количественного признака высота растения и связанных с ним признаков у сои." In International Scientific Symposium "Plant Protection – Achievements and Prospects". Institute of Genetics, Physiology and Plant Protection, Republic of Moldova, 2020. http://dx.doi.org/10.53040/9789975347204.76.

Full text
Abstract:
The variability of traits is the height of the plant and the average length of the internode to a greater extent influenced by the genotype. The good heritability of these traits is evidenced by the high heritability rates for these traits. The variability of the attachment height of the lower pod is more influenced by the conditions of the year, the heritability coefficient is lower than that of the previous traits. Genetic progress is the highest (40.33%) among the studied traits in the trait with an average internode length, which indicates that selection for this trait may be the most successful.
APA, Harvard, Vancouver, ISO, and other styles
5

"Marker-trait associations for agronomic traits in soybean harvested in Kazakhstan." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.18699/plantgen2019-213.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Celiktutan, Oya, and Hatice Gunes. "Continuous prediction of trait impressions." In 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830579.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kosa, Mehmet, and Ahmet Uysal. "Trait Mindfulness and Player Experience." In CHI PLAY '17: The annual symposium on Computer-Human Interaction in Play. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3130859.3131301.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Volkov, D. P., and S. А. Zaytsev. "ESTIMATION OF COMBINING ABILITY OF CORN LINES IN DIALLELE CROSSES BY AN AMOUNT OF SEEDS FROM A COB." In 11-я Всероссийская конференция молодых учёных и специалистов «Актуальные вопросы биологии, селекции, технологии возделывания и переработки сельскохозяйственных культур». V.S. Pustovoit All-Russian Research Institute of Oil Crops, 2021. http://dx.doi.org/10.25230/conf11-2021-29-32.

Full text
Abstract:
We estimated combining ability of inbred corn lines by a trait amount of seeds from a cob’. Amount of seeds from a cob is one of the important traits for plant selection with a purpose to increase their yield. Prevalence of additive effects of gens in a control of this trait is noted. We revealed lines with low and high meanings of combining ability by an amount of seeds from a cob.
APA, Harvard, Vancouver, ISO, and other styles
9

Rakitko, Alexander. "Multifactorial Dimensionality Reduction for Disordered Trait." In International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005285302320236.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Pan, Qiuping, Lu Zhang, and Xintao Wu. "STIP: An SNP-trait inference platform." In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017. http://dx.doi.org/10.1109/bibm.2017.8217779.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Trait"

1

Berns, Kent R., and Mark A. Licht. Corn Trait Evaluations. Ames: Iowa State University, Digital Repository, 2011. http://dx.doi.org/10.31274/farmprogressreports-180814-1818.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sanchez, Danielle J., Ann Speed, and Brad S. Altman. Trait Vs. Skill: Individual Differences ? Survey Questions. Office of Scientific and Technical Information (OSTI), May 2020. http://dx.doi.org/10.2172/1619003.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Godil, Afzal, Patrick Grother, and Mei Ngan. The text recognition algorithm independent evaluation (TRAIT). Gaithersburg, MD: National Institute of Standards and Technology, December 2017. http://dx.doi.org/10.6028/nist.ir.8199.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Vickers, Jr, and Ross R. A Latent Trait Model of Simulated Combat Performance. Fort Belvoir, VA: Defense Technical Information Center, February 2010. http://dx.doi.org/10.21236/ada562869.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Weller, Joel I., Derek M. Bickhart, Micha Ron, Eyal Seroussi, George Liu, and George R. Wiggans. Determination of actual polymorphisms responsible for economic trait variation in dairy cattle. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7600017.bard.

Full text
Abstract:
The project’s general objectives were to determine specific polymorphisms at the DNA level responsible for observed quantitative trait loci (QTLs) and to estimate their effects, frequencies, and selection potential in the Holstein dairy cattle breed. The specific objectives were to (1) localize the causative polymorphisms to small chromosomal segments based on analysis of 52 U.S. Holstein bulls each with at least 100 sons with high-reliability genetic evaluations using the a posteriori granddaughter design; (2) sequence the complete genomes of at least 40 of those bulls to 20 coverage; (3) determine causative polymorphisms based on concordance between the bulls’ genotypes for specific polymorphisms and their status for a QTL; (4) validate putative quantitative trait variants by genotyping a sample of Israeli Holstein cows; and (5) perform gene expression analysis using statistical methodologies, including determination of signatures of selection, based on somatic cells of cows that are homozygous for contrasting quantitative trait variants; and (6) analyze genes with putative quantitative trait variants using data mining techniques. Current methods for genomic evaluation are based on population-wide linkage disequilibrium between markers and actual alleles that affect traits of interest. Those methods have approximately doubled the rate of genetic gain for most traits in the U.S. Holstein population. With determination of causative polymorphisms, increasing the accuracy of genomic evaluations should be possible by including those genotypes as fixed effects in the analysis models. Determination of causative polymorphisms should also yield useful information on gene function and genetic architecture of complex traits. Concordance between QTL genotype as determined by the a posteriori granddaughter design and marker genotype was determined for 30 trait-by-chromosomal segment effects that are segregating in the U.S. Holstein population; a probability of <10²⁰ was used to accept the null hypothesis that no segregating gene within the chromosomal segment was affecting the trait. Genotypes for 83 grandsires and 17,217 sons were determined by either complete sequence or imputation for 3,148,506 polymorphisms across the entire genome. Variant sites were identified from previous studies (such as the 1000 Bull Genomes Project) and from DNA sequencing of bulls unique to this project, which is one of the largest marker variant surveys conducted for the Holstein breed of cattle. Effects for stature on chromosome 11, daughter pregnancy rate on chromosome 18, and protein percentage on chromosome 20 met 3 criteria: (1) complete or nearly complete concordance, (2) nominal significance of the polymorphism effect after correction for all other polymorphisms, and (3) marker coefficient of determination >40% of total multiple-regression coefficient of determination for the 30 polymorphisms with highest concordance. The missense polymorphism Phe279Tyr in GHR at 31,909,478 base pairs on chromosome 20 was confirmed as the causative mutation for fat and protein concentration. For effect on fat percentage, 12 additional missensepolymorphisms on chromosome 14 were found that had nearly complete concordance with the suggested causative polymorphism (missense mutation Ala232Glu in DGAT1). The markers used in routine U.S. genomic evaluations were increased from 60,000 to 80,000 by adding markers for known QTLs and markers detected in BARD and other research projects. Objectives 1 and 2 were completely accomplished, and objective 3 was partially accomplished. Because no new clear-cut causative polymorphisms were discovered, objectives 4 through 6 were not completed.
APA, Harvard, Vancouver, ISO, and other styles
6

Zhao, Qing, Lili Zhou, Qiaoyue Ren, Xuejing Lu, and Li Hu. Culture–Sex Interaction in Trait Empathy — A Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2020. http://dx.doi.org/10.37766/inplasy2020.11.0097.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hamilton, William W. Operational Vision - An Essential Trait for Army Operational Commanders. Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada240183.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Samejima, Fumiko. Validity Measures in the Context of Latent Trait Models. Fort Belvoir, VA: Defense Technical Information Center, June 1990. http://dx.doi.org/10.21236/ada224695.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Ozias-Akins, P., and R. Hovav. molecular dissection of the crop maturation trait in peanut. Israel: United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134157.bard.

Full text
Abstract:
Crop maturation is one of the most recognized characteristics of peanut, and it is crucial for adaptability and yield. However, not much is known regarding its genetic and molecular control. The goals of this project were to study the molecular-genetic components that control crop maturation in peanut and identify candidate genes. Crop maturation was studied directly by phenotyping the maturity level or through other component traits such as flowering pattern and branching habit. Six different RIL populations (HH, RR, CC, FNC, TGT and FLIC) were used for the genetic analysis. In total, 14 QTLs were found for maturity level. The phenotypic explanation values ranged in 5.3%-18.6%. Common QTL were found between maturity level and harvest index (in RR and CC populations), branching habit (in HH population), flowering pattern/branching rate (in CC and TGT populations) and pod size (in CC population). Further investigations were done to define genes that control maturity level and the component traits. A map-based cloning approach was used to identify a major candidate gene for branching habit - a novel AhMADS-box gene (AhMADS). AhMADS was mainly expressed in the lateral shoot, the organ in which the difference between branching habit occurs. Sequence alignment analysis found SNPs in AhMADS that cause to exon/intron splicing alterations. Overexpression study of AhMADs-box in tobacco under 35S control revealed one line with a spreading-like lateral shoot indicating that AhMADS may be the causing effect of BH and therefore indirectly controls maturity level. In addition, several candidate genes were defined that may control flowering pattern. An RNA expression study was performed on two parental lines, Tifrunner and GT-C20, identifying four candidate genes in the flowering regulatory pathway that were down-regulated at the mainstem (non-flowering) compared to the first (flowering) shoot, indicating their influence on flowering pattern. Also, another candidate gene was identified, Terminal Flowering 1-like (AhTFL1), which was located within a small segment in chromosome B02. A 1492 bp deletion was found in AhTFL1 that completely co-segregates with the flowering pattern phenotype in the CC population and two independent EMS-mutagenized M2 families. AhTFL1 was significantly less expressed in flowering than non-flowering branches. Finally, a field trial showed that an EMS line (B78) mutagenized in AhTFL1 is ~18% days earlier than the control (Hanoch). In conclusion, our study revealed new insights into the molecular basis for the fundamentally important crop maturity trait in peanut. The results generated new information and materials that will promote informed targeting of peanut idiotypes by indirect selection and genomic breeding approaches.
APA, Harvard, Vancouver, ISO, and other styles
10

Peterson, J., J. Polk, D. Sicker, and H. Tschofenig. Trait-Based Authorization Requirements for the Session Initiation Protocol (SIP). RFC Editor, August 2006. http://dx.doi.org/10.17487/rfc4484.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Trait' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography