Log in

Relevant bibliographies by topics / Mixed model varietal selection / Journal articles

Journal articles on the topic 'Mixed model varietal selection'

To see the other types of publications on this topic, follow the link: Mixed model varietal selection.

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Mixed model varietal selection.'

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.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Gonçalves, Elsa, and Antero Martins. "Efficient Assessment and Large-Scale Conservation of Intra-Varietal Diversity of Ancient Grapevine Varieties: Case Study Portugal." Plants 11, no. 15 (July 24, 2022): 1917. http://dx.doi.org/10.3390/plants11151917.

Full text

Abstract:

There are thousands of ancient grapevine varieties in Europe, each one having a high level of intra-varietal diversity with regard to important economic traits (yield, soluble solids content, acidity, anthocyanins, and others). However, this potential has become exposed to a process of genetic erosion since the middle of the last century. The main objective of this work is to present experimental strategies for conservation and utilization of intra-varietal diversity. A concrete example is given about the actions performed in Portugal since 1978. Two main approaches for the conservation of intra-varietal diversity were performed: (1) strict conservation (in pots and in the field without experimental design) for future generations; and (2) conservation and, simultaneously, evaluation of the intra-varietal variability for selection to fulfil the immediate needs of the grape and wine sector (in the field with experimental design). More than 30,000 accessions of Portuguese autochthonous varieties are conserved. Using the theory of mixed models, intra-varietal diversity of the yield was found for the 59 varieties studied. The conservation and the evaluation of the intra-varietal diversity for quantitative traits will allow to extract high economic value, as well as to ensure its utilization to meet the objectives of the vine and wine sector.

APA, Harvard, Vancouver, ISO, and other styles

2

VIRK, D. S., D. B. PANDIT, M. A. SUFIAN, F. AHMED, M. A. B. SIDDIQUE, M. A. SAMAD, M. M. RAHMAN, et al. "REML IS AN EFFECTIVE ANALYSIS FOR MIXED MODELLING OF UNBALANCED ON-FARM VARIETAL TRIALS." Experimental Agriculture 45, no. 1 (January 2009): 77–91. http://dx.doi.org/10.1017/s0014479708007047.

Full text

Abstract:

SUMMARYOn-farm participatory varietal selection (PVS) trials are often of two types: mother trials (with all of the entries) and baby trials (each having one, or very few of the entries from the mother trials). We conducted PVS trials on 17 wheat varieties in 12 villages of four districts of Bangladesh over three years but the data were highly unbalanced. Both quantitative and qualitative traits were measured in the on-farm trials. The factors in the trials were both fixed effects (varieties and districts) and random (years and farmers). We used the residual or restricted maximum likelihood (REML) analysis for the mixed model for quantitative traits. For qualitative data on farmers' perceptions, logistic regression procedures were used that are equally applicable to balanced and unbalanced data sets. The REML analysis provided adjusted mean values for quantitative traits for all the varieties, for the mother and baby trials separately, using the data from all years and all locations. It identified varieties BAW 1006 and BAW 1008 that yielded 19–30% more than the control Kanchan and also had a higher 1000-grain weight, were at least as early to flower and had a high overall ranking by farmers in the mother trials. The logistic regression analysis of perception data agreed with the results of the REML analysis as these varieties were most preferred by farmers for grain yield, earlier maturity and better chapatti making quality. The less labour-intensive method of recording qualitative perceptions can usefully replace actual yield measurements, particularly when validated by other participatory measures such as intended and actual adoption. In 2005, BAW 1006 was released as BARI Gom 23 or Bijoy and BAW 1008 as BARI Gom 24 or Prodip for the whole of Bangladesh. The validity of the results of the REML analysis was confirmed by the high early adoption trends of the identified varieties. Since REML is an effective analysis for unbalanced PVS trial data using a mixed model, its wider use by researchers would increase the value of the PVS process.

APA, Harvard, Vancouver, ISO, and other styles

3

Mann, Gulay, Helen Allen, Matthew K. Morell, Zena Nath, Peter Martin, John Oliver, Brian Cullis, and Alison Smith. "Comparison of small-scale and large-scale extensibility of dough produced from wheat flour." Australian Journal of Agricultural Research 56, no. 12 (2005): 1387. http://dx.doi.org/10.1071/ar05132.

Full text

Abstract:

Extensibility and dough strength are key traits for varietal selection in most wheat-breeding programs. As there are several techniques for measuring these traits there is interest in examining the agreement between methods in terms of genotypic (varietal) rankings. We investigated this issue using 2 different extension methods; namely, small-scale (modified Kieffer) and large-scale (Brabender Extensograph) methods. Data were obtained from a doubled-haploid population (190 lines) from a Chara (high extensibility, excellent dough strength) × WW2449 (low extensibility, poor dough strength) cross that was grown in a field trial at the Wagga Wagga Agricultural Institute (WWAI) in 2000. Six extensional rheological traits were measured and compared according to a multivariate mixed statistical model. The estimated genetic correlation matrix for 4 of the 6 extensibility traits (R_Max, area, height, and resistance at 5 cm extension) revealed that for these dough strength related parameters, both methods were measuring equivalent traits. Comparisons of the extensibility traits length and extensibility at Rmax demonstrated that, although substantial amounts of the variance are controlled by the same glutenin loci, the traits differed in the allocation of variance across the loci, and the sources and magnitude of non-genetic variance. The data verified that small-scale testing is a robust and efficient alternative to large-scale testing for both commercial breeding and research.

APA, Harvard, Vancouver, ISO, and other styles

4

de Carvalho, Sérgio Alves, William Mário de Carvalho Nunes, José Belasque, Marcos Antonio Machado, José Croce-Filho, Clive H. Bock, and Zaid Abdo. "Comparison of Resistance to Asiatic Citrus Canker Among Different Genotypes of Citrus in a Long-Term Canker-Resistance Field Screening Experiment in Brazil." Plant Disease 99, no. 2 (February 2015): 207–18. http://dx.doi.org/10.1094/pdis-04-14-0384-re.

Full text

Abstract:

Asiatic citrus canker (ACC) is caused by Xanthomonas citri subsp. citri. The disease results in yield loss and renders fruit unfit for the fresh market. A 6-year study in Paraná State, Brazil, was conducted to compare the susceptibility of 186 genotypes of citrus representing sweet orange (Citrus sinensis), mandarin (C. reticulata), Mediterranean mandarin (C. deliciosa), Clementine mandarin (C. clementina), Satsuma mandarin (C. unshiu), sour orange (C. aurantium), lemon (C. limon), sweet lime (C. aurantifolia), grapefruit (C. paradisi), and four hybrids (C. reticulata × Citrus sp., C. reticulata × C. paradisi, C. reticulata × C. sinensis, and C. unshiu × C. sinensis). Sweet orange (C. sinensis) was represented by the most genotypes (n = 141). The number of lesions per leaf was assessed 18 times from 2005 to 2010 (up to 4 times per year). The data were analyzed using mixed-model analysis of fixed and random effects, which showed a total of six resistance-susceptibility groupings of species and hybrids. Based on species, the most resistant genotypes, on average, included Satsuma and lemon (mean lesions per leaf = 4.32 and 4.26, respectively), and the most susceptible genotypes were grapefruit and sweet lime, with 14.84 and 10.96 lesions per leaf, respectively. Genotypes of mandarin, sour orange, Mediterranean mandarin, and sweet orange had intermediate severity (5.48 to 9.56 lesions per leaf). The hybrids also showed a range of ACC severity but all were in the more resistant groupings (5.26 to 7.35 lesions per leaf). No genotype was immune to ACC. The most resistant genotype was ‘Muscia’ (C. reticulata) and the most susceptible was ‘Valencia Frost’ (C. sinensis) (1.86 and 14.78 lesions per leaf, respectively). Approximately one-sixth of the genotypes showed a negative relationship of mean lesions per leaf with time, suggesting increasing resistance as they aged, due to a reduction in either new flush or plant size and structure. These results of the relative susceptibility of different citrus genotypes can be used in future research and to assist in varietal selection or for breeding purposes both within Brazil and other regions where ACC is an issue.

APA, Harvard, Vancouver, ISO, and other styles

5

Acheampong, Patricia Pinamang, Victor Owusu, and Gyeile Nurah. "How does Farmer Preference matter in Crop variety Adoption? The case of Improved Cassava varieties’ Adoption in Ghana." Open Agriculture 3, no. 1 (November 1, 2018): 466–77. http://dx.doi.org/10.1515/opag-2018-0052.

Full text

Abstract:

Abstract Ghana’s National Agricultural Research Systems have officially released 24 improved cassava varieties, which are high yielding, disease and pest resistant and early maturing. However, adoption of these varieties by mainly smallholder farmers is very low, leading to low yields and incomes. The purpose of this study was to contribute to the development and adoption of improved cassava varieties by assessing the preferences of farmers for cassava variety traits. The study explored Ghanaian cassava producers’ decision-making behaviour towards variety selection and the values they place on different cassava traits. It employed mixed logit and latent class models to estimate the values place on cassava traits, by using choice experiment data of 450 cassava producers from Ghana. Results revealed farmers’ preferences for longevity of root storage in the soil and disease resistance traits of cassava. The latent class model revealed that male youths were more likely to participate in improved varieties that take into account in-soil storage and multiple usages. The need for agricultural research systems to focus on other traits in addition to high yielding and disease resistance in order to boost adoption and increase production is imperative.

APA, Harvard, Vancouver, ISO, and other styles

6

Jiang, Jiming, J. Sunil Rao, Zhonghua Gu, and Thuan Nguyen. "Fence methods for mixed model selection." Annals of Statistics 36, no. 4 (August 2008): 1669–92. http://dx.doi.org/10.1214/07-aos517.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Müller, Samuel, J. L. Scealy, and A. H. Welsh. "Model Selection in Linear Mixed Models." Statistical Science 28, no. 2 (May 2013): 135–67. http://dx.doi.org/10.1214/12-sts410.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Malouche, Dhafer. "Mixed Graphical Model Selection Using Holm's Procedure." Communications in Statistics - Theory and Methods 38, no. 9 (April 28, 2009): 1453–64. http://dx.doi.org/10.1080/03610920802455019.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Peng, Heng, and Ying Lu. "Model selection in linear mixed effect models." Journal of Multivariate Analysis 109 (August 2012): 109–29. http://dx.doi.org/10.1016/j.jmva.2012.02.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Buscemi, Simona, and Antonella Plaia. "Model selection in linear mixed-effect models." AStA Advances in Statistical Analysis 104, no. 4 (October 28, 2019): 529–75. http://dx.doi.org/10.1007/s10182-019-00359-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Gokalp Yavuz, Fulya, and Olcay Arslan. "Variable selection in elliptical linear mixed model." Journal of Applied Statistics 47, no. 11 (December 18, 2019): 2025–43. http://dx.doi.org/10.1080/02664763.2019.1702928.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Misumi, Toshihiro. "MODEL SELECTION FOR FUNCTIONAL MIXED MODEL VIA GAUSSIAN PROCESS REGRESSION." Bulletin of informatics and cybernetics 46 (December 2014): 23–35. http://dx.doi.org/10.5109/1798144.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Ryoo, Ji Hoon. "Model Selection with the Linear Mixed Model for Longitudinal Data." Multivariate Behavioral Research 46, no. 4 (July 29, 2011): 598–624. http://dx.doi.org/10.1080/00273171.2011.589264.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

CHEN, Yan-Ping, Jian-Ke ZHANG, Jia-Ze SUN, Qing-Hua ZHENG, and Zheng-Zhi LI. "A Service Selection Model Using Mixed Intelligent Optimization." Chinese Journal of Computers 33, no. 11 (December 2, 2010): 2116–25. http://dx.doi.org/10.3724/sp.j.1016.2010.02116.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Wenren, Cheng, Junfeng Shang, and Juming Pan. "Marginal Conceptual Predictive Statistic for Mixed Model Selection." Open Journal of Statistics 06, no. 02 (2016): 239–53. http://dx.doi.org/10.4236/ojs.2016.62021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Sorensen, D. A., and B. W. Kennedy. "Analysis of Selection Experiments Using Mixed Model Methodology." Journal of Animal Science 63, no. 1 (July 1, 1986): 245–58. http://dx.doi.org/10.2527/jas1986.631245x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Fahmy, M. H. "Selection, index and introduction to mixed model methods." Small Ruminant Research 19, no. 1 (January 1996): 92. http://dx.doi.org/10.1016/s0921-4488(96)90002-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Cai, Zongwu, and Xian Wang. "Selection of Mixed Copula Model via Penalized Likelihood." Journal of the American Statistical Association 109, no. 506 (April 3, 2014): 788–801. http://dx.doi.org/10.1080/01621459.2013.873366.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Wenren, Cheng, and Junfeng Shang. "Conditional conceptual predictive statistic for mixed model selection." Journal of Applied Statistics 43, no. 4 (August 9, 2015): 585–603. http://dx.doi.org/10.1080/02664763.2015.1071342.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Sciandra, M., and A. Plaia. "A graphical model selection tool for mixed models." Communications in Statistics - Simulation and Computation 47, no. 9 (August 23, 2017): 2624–38. http://dx.doi.org/10.1080/03610918.2017.1353617.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Ellis, R. N., K. E. Basford, M. Cooper, J. K. Leslie, and the late D. E. Byth. "A methodology for analysis of sugarcane productivity trends. I. Analysis across districts." Australian Journal of Agricultural Research 52, no. 10 (2001): 1001. http://dx.doi.org/10.1071/ar00130.

Full text

Abstract:

Historically, few articles have addressed the use of district level mill production data for analysing the effect of varietal change on sugarcane productivity trends. This appears to be due to lack of compiled district data sets and appropriate methods by which to analyse these data. Recently, varietal data on tonnes of sugarcane per hectare (TCH), sugar content (CCS), and their product, tonnes of sugar content per hectare (TSH) on a district basis, have been compiled. This study was conducted to develop a methodology for regular analysis of such data from mill districts to assess productivity trends over time, accounting for variety and variety environment interaction effects for 3 mill districts (Mulgrave, Babinda, and Tully) from 1958 to 1995. Restricted maximum likelihood methodology was used to analyse the district level data and best linear unbiased predictors for random effects, and best linear unbiased estimates for fixed effects were computed in a mixed model analysis. In the combined analysis over districts, Q124 was the top ranking variety for TCH, and Q120 was top ranking for both CCS and TSH. Overall production for TCH increased over the 38-year period investigated. Some of this increase can be attributed to varietal improvement, although the predictors for TCH have shown little progress since the introduction of Q99 in 1976. Although smaller gains have been made in varietal improvement for CCS, overall production for CCS decreased over the 38 years due to non-varietal factors. Varietal improvement in TSH appears to have peaked in the mid-1980s. Overall production for TSH remained stable over time due to the varietal increase in TCH and the nonvarietal decrease in CCS.

APA, Harvard, Vancouver, ISO, and other styles

22

SUKCHAROEN, KUNLAPATH, and DAVID LEATHAM. "MEAN-VARIANCE VERSUS MEAN–EXPECTED SHORTFALL MODELS: AN APPLICATION TO WHEAT VARIETY SELECTION." Journal of Agricultural and Applied Economics 48, no. 2 (May 2016): 148–72. http://dx.doi.org/10.1017/aae.2016.8.

Full text

Abstract:

AbstractOne of the most popular risk management strategies for wheat producers is varietal diversification. Previous studies proposed a mean-variance model as a tool to optimally select wheat varieties. However, this study suggests that the mean–expected shortfall (ES) model (which is based on a downside risk measure) may be a better tool because variance is not a correct risk measure when the distribution of wheat variety yields is multivariate nonnormal. Results based on data from Texas Blacklands confirm our conjecture that the mean-ES framework performs better in term of selecting wheat varieties than the mean-variance method.

APA, Harvard, Vancouver, ISO, and other styles

23

Yoshida, Takuma, Masaru Kanba, and Kanta Naito. "A computationally efficient model selection in the generalized linear mixed model." Computational Statistics 25, no. 3 (February 14, 2010): 463–84. http://dx.doi.org/10.1007/s00180-010-0187-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Preinerstorfer, David, and Anton K. Formann. "Parameter recovery and model selection in mixed Rasch models." British Journal of Mathematical and Statistical Psychology 65, no. 2 (June 15, 2011): 251–62. http://dx.doi.org/10.1111/j.2044-8317.2011.02020.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Hsu, Yung-Ching, Pai-Lung Chou, Yen-Ming J. J. Chen, and Jia-Jun Lin. "Mixed Logit Model of Voluntary Selection of Automobile Insurance." Journal of Information and Optimization Sciences 35, no. 5-6 (November 2, 2014): 503–28. http://dx.doi.org/10.1080/02522667.2014.961823.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Balcombe, Kelvin, Ali Chalak, and Iain Fraser. "Model selection for the mixed logit with Bayesian estimation." Journal of Environmental Economics and Management 57, no. 2 (March 2009): 226–37. http://dx.doi.org/10.1016/j.jeem.2008.06.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Wang, Jun, and G. Bruce Schaalje. "Model Selection for Linear Mixed Models Using Predictive Criteria." Communications in Statistics - Simulation and Computation 38, no. 4 (February 24, 2009): 788–801. http://dx.doi.org/10.1080/03610910802645362.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Lavergne, Christian, Marie-José Martinez, and Catherine Trottier. "Empirical model selection in generalized linear mixed effects models." Computational Statistics 23, no. 1 (July 14, 2007): 99–109. http://dx.doi.org/10.1007/s00180-007-0071-y.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Jaeger, Byron C., Lloyd J. Edwards, and Matthew J. Gurka. "An R2 statistic for covariance model selection in the linear mixed model." Journal of Applied Statistics 46, no. 1 (April 25, 2018): 164–84. http://dx.doi.org/10.1080/02664763.2018.1466869.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Tsai, Jung-Fa, Chin-Po Wang, Kuei-Lun Chang, and Yi-Chung Hu. "Selecting Bloggers for Hotels via an Innovative Mixed MCDM Model." Mathematics 9, no. 13 (July 2, 2021): 1555. http://dx.doi.org/10.3390/math9131555.

Full text

Abstract:

The global coronavirus disease 2019 (COVID-19) outbreak had a great impact on the tourism industry. Numerous hotels have ceased operations. Because of the increasing influence of blogs, various industries have adopted blogs as a publicity and marketing strategy. Companies utilize consumers’ trust and loyalty toward bloggers to effectively contact them. Hence, bloggers play a crucial role in the hotel industry. No past study has researched blogger selection by hotel managers. In this study, an innovative mixed multiple-criteria decision-making (MCDM) model including importance-performance analysis (IPA), analytic hierarchy process (AHP), and technique for order preference by similarity to ideal solution (TOPSIS) is established to assist hotel managers in selecting bloggers. We firstly collect the selection criteria via interviews with hotel managers and a review of literature on blogger selection. Messages with stick are understood, remembered, and have an enduring influence on opinions and behavior. Hence, we also introduce the concept of stick to the selection criteria. Based on IPA and the literature review, a hierarchical structure for blogger selection is constructed. Then, AHP and TOPSIS are integrated to assist the case company managers to select suitable bloggers.

APA, Harvard, Vancouver, ISO, and other styles

31

Karabati, S. "Part transfer mode selection in a cyclic mixed-model line." IEEE Transactions on Robotics and Automation 16, no. 5 (2000): 588–92. http://dx.doi.org/10.1109/70.880808.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Lee, Kyeong Eun, Yongku Kim, and Ronghui Xu. "Bayesian variable selection under the proportional hazards mixed-effects model." Computational Statistics & Data Analysis 75 (July 2014): 53–65. http://dx.doi.org/10.1016/j.csda.2014.02.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Ariyo, Oludare, Adrian Quintero, Johanna Muñoz, Geert Verbeke, and Emmanuel Lesaffre. "Bayesian model selection in linear mixed models for longitudinal data." Journal of Applied Statistics 47, no. 5 (August 22, 2019): 890–913. http://dx.doi.org/10.1080/02664763.2019.1657814.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Bortz, D. M., and P. W. Nelson. "Model Selection and Mixed-Effects Modeling of HIV Infection Dynamics." Bulletin of Mathematical Biology 68, no. 8 (August 10, 2006): 2005–25. http://dx.doi.org/10.1007/s11538-006-9084-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Yang, Mingan, Min Wang, and Guanghui Dong. "Bayesian variable selection for mixed effects model with shrinkage prior." Computational Statistics 35, no. 1 (May 16, 2019): 227–43. http://dx.doi.org/10.1007/s00180-019-00895-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Benati, Stefano, and Sergio García. "A mixed integer linear model for clustering with variable selection." Computers & Operations Research 43 (March 2014): 280–85. http://dx.doi.org/10.1016/j.cor.2013.10.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

LOISELLE, F., C. A. ST-PIERRE, H. D. VOLDENG, and P. TURCOTTE. "ANALYSIS OF AGRONOMIC CHARACTERS FOR AN ELEVEN-PARENT DIALLEL OF EARLY-MATURING SOYBEAN GENOTYPES IN EASTERN CANADA." Canadian Journal of Plant Science 70, no. 1 (January 1, 1990): 107–15. http://dx.doi.org/10.4141/cjps90-013.

Full text

Abstract:

Information on the genetic behavior of early-maturing soybeans (Glycine max (L.) Merr.) in northern latitudes is important for the formulation of appropriate selection schemes. The Gardner-Eberhart diallel model was used to study genetic effects and combining abilities of 11 early-maturing genotypes (maturity Groups 00 and 000) of soybean grown in Quebec and eastern Ontario. Agronomic characters were measured on spaced F1 plants at one site, and on F2 populations in replicated row plots at three sites. Cultivar (additive) effects were predominant for all characters. Three of eleven lines had positive but unstable varietal parameters for seed yield. Average heterosis was significant for seed yield and plant height at every location. Contrary to other reports, significant negative heterosis for oil content was observed at two locations. Varietal and specific heterosis were significant for most characters.Key words: Soybean, Glycine max (L.) Merr., diallel, Gardner-Eberhart, yield, oil, protein

APA, Harvard, Vancouver, ISO, and other styles

38

Amado, André, Lenin Fernández, Weini Huang, Fernando F. Ferreira, and Paulo R. A. Campos. "Competing metabolic strategies in a multilevel selection model." Royal Society Open Science 3, no. 11 (November 2016): 160544. http://dx.doi.org/10.1098/rsos.160544.

Full text

Abstract:

The evolutionary mechanisms of energy efficiency have been addressed. One important question is to understand how the optimized usage of energy can be selected in an evolutionary process, especially when the immediate advantage of gathering efficient individuals in an energetic context is not clear. We propose a model of two competing metabolic strategies differing in their resource usage, an efficient strain which converts resource into energy at high efficiency but displays a low rate of resource consumption, and an inefficient strain which consumes resource at a high rate but at low yield. We explore the dynamics in both well-mixed and structured populations. The selection for optimized energy usage is measured by the likelihood that an efficient strain can invade a population of inefficient strains. It is found that the parameter space at which the efficient strain can thrive in structured populations is always broader than observed in well-mixed populations.

APA, Harvard, Vancouver, ISO, and other styles

39

Pan, Xueyan, Guanghui Cai, and Qiulin Chen. "Construction and Application of Mixed Copula Model." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 4 (July 20, 2018): 457–64. http://dx.doi.org/10.20965/jaciii.2018.p0457.

Full text

Abstract:

The Copula theory has been widely used in many scientific fields. In this study, we discuss model selection for the Copula theory. We derive the mixed Copula model based on the Kendall rank correlation coefficient. This new method is applied to forecast the value at risk of the portfolio in the foreign exchange market. The results show that the proposed mixed Copula model proposed in this paper is better than the other, commonly used, Copula model.

APA, Harvard, Vancouver, ISO, and other styles

40

Murakami, Daisuke, Mami Kajita, and Seiji Kajita. "Scalable Model Selection for Spatial Additive Mixed Modeling: Application to Crime Analysis." ISPRS International Journal of Geo-Information 9, no. 10 (September 30, 2020): 577. http://dx.doi.org/10.3390/ijgi9100577.

Full text

Abstract:

A rapid growth in spatial open datasets has led to a huge demand for regression approaches accommodating spatial and non-spatial effects in big data. Regression model selection is particularly important to stably estimate flexible regression models. However, conventional methods can be slow for large samples. Hence, we develop a fast and practical model-selection approach for spatial regression models, focusing on the selection of coefficient types that include constant, spatially varying, and non-spatially varying coefficients. A pre-processing approach, which replaces data matrices with small inner products through dimension reduction, dramatically accelerates the computation speed of model selection. Numerical experiments show that our approach selects a model accurately and computationally efficiently, highlighting the importance of model selection in the spatial regression context. Then, the present approach is applied to open data to investigate local factors affecting crime in Japan. The results suggest that our approach is useful not only for selecting factors influencing crime risk but also for predicting crime events. This scalable model selection will be key to appropriately specifying flexible and large-scale spatial regression models in the era of big data. The developed model selection approach was implemented in the R package spmoran.

APA, Harvard, Vancouver, ISO, and other styles

41

Truzina, Lyudmila. "MAIN DIRECTIONS AND RESULTS OF RESEARCH ON PERENNIAL GRASSES IN FIELD FODDER PRODUCTION." Adaptive Fodder Production 2022, no. 3 (November 22, 2022): 70–77. http://dx.doi.org/10.33814/afp-2222-5366-2022-3-70-77.

Full text

Abstract:

The main directions of research on perennial grasses in the field feed production of the Feed Institute are revealed. The analysis was carried out on the main perennial grasses: clover, alfalfa, galega and grasses. In chronological order, indicating the names and positions of researchers, a list of all areas of research on: the introduction of culture is given; terms, methods of sowing, norms of sowing seeds in single-species and mixed phytocenoses; selection of cover crops; effective use of phosphorus, potassium and nitrogen fertilizers and trace elements, depending on the composition of grass stands and different years of use; assessment of the fungicidal role of molybdenum and mineral fertilizers; selection of adaptive components in order to create an uninterrupted green and raw material conveyor; modes of use of grass stands that provide energy-saturated, high-protein feeds; determination of the size of symbiotic fixation of atmospheric nitrogen, depending on the varietal characteristics and growing conditions; effective use of herbicides to protect crops from weedy vegetation, comparative assessment of productive longevity, etc.

APA, Harvard, Vancouver, ISO, and other styles

42

Aoki, Yasunori, Daniel Röshammar, Bengt Hamrén, and Andrew C. Hooker. "Model selection and averaging of nonlinear mixed-effect models for robust phase III dose selection." Journal of Pharmacokinetics and Pharmacodynamics 44, no. 6 (November 4, 2017): 581–97. http://dx.doi.org/10.1007/s10928-017-9550-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Li, Zhuokai, Hai Liu, and Wanzhu Tu. "Model selection in multivariate semiparametric regression." Statistical Methods in Medical Research 27, no. 10 (February 6, 2017): 3026–38. http://dx.doi.org/10.1177/0962280217690769.

Full text

Abstract:

Variable selection in semiparametric mixed models for longitudinal data remains a challenge, especially in the presence of multiple correlated outcomes. In this paper, we propose a model selection procedure that simultaneously selects fixed and random effects using a maximum penalized likelihood method with the adaptive least absolute shrinkage and selection operator penalty. Through random effects selection, we determine the correlation structure among multiple outcomes and therefore address whether a joint model is necessary. Additionally, we include a bivariate nonparametric component, as approximated by tensor product splines, to accommodate the joint nonlinear effects of two independent variables. We use an adaptive group least absolute shrinkage and selection operator to determine whether the bivariate nonparametric component can be reduced to additive components. To implement the selection and estimation method, we develop a two-stage expectation-maximization procedure. The operating characteristics of the proposed method are assessed through simulation studies. Finally, the method is illustrated in a clinical study of blood pressure development in children.

APA, Harvard, Vancouver, ISO, and other styles

44

Leandro, Lopes Cancellier, Paulo Miranda Pires Luiz, Antonio Yanes Bernardo Junior Luiz, Lelys Resende Ewerton, Lopes Cancellier Eduardo, and Garcia Von Pinho Renzo. "Selection of S0:2 maize progenies using a mixed-model approach." African Journal of Agricultural Research 11, no. 43 (October 27, 2016): 4354–66. http://dx.doi.org/10.5897/ajar2016.11333.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Denti, Paolo, Alessandra Bertoldo, Paolo Vicini, and Claudio Cobelli. "IVGTT glucose minimal model covariate selection by nonlinear mixed-effects approach." American Journal of Physiology-Endocrinology and Metabolism 298, no. 5 (May 2010): E950—E960. http://dx.doi.org/10.1152/ajpendo.00656.2009.

Full text

Abstract:

Population approaches, traditionally employed in pharmacokinetic-pharmacodynamic studies, have shown value also in the context of glucose-insulin metabolism models by providing more accurate individual parameters estimates and a compelling statistical framework for the analysis of between-subject variability (BSV). In this work, the advantages of population techniques are further explored by proposing integration of covariates in the intravenous glucose tolerance test (IVGTT) glucose minimal model analysis. A previously published dataset of 204 healthy subjects, who underwent insulin-modified IVGTTs, was analyzed in NONMEM, and relevant demographic information about each subject was employed to explain part of the BSV observed in parameter values. Demographic data included height, weight, sex, and age, but also basal glycemia and insulinemia, and information about amount and distribution of body fat. On the basis of nonlinear mixed-effects modeling, age, visceral abdominal fat, and basal insulinemia were significant predictors for SI (insulin sensitivity), whereas only age and basal insulinemia were significant for P2 (insulin action). The volume of distribution correlated with sex, age, percentage of total body fat, and basal glycemia, whereas no significant covariate was detected to explain variability in SG (glucose effectiveness). The introduction of covariates resulted in a significant shrinking of the unexplained BSV, especially for SI and P2 and considerably improved the model fit. These results offer a starting point for speculation about the physiological meaning of the relationships detected and pave the way for the design of less invasive and less expensive protocols for epidemiological studies of glucose-insulin metabolism.

APA, Harvard, Vancouver, ISO, and other styles

46

Camarena, E. A., C. Gracia, and J. M. Cabrera Sixto. "A Mixed Integer Linear Programming Machinery Selection Model for Multifarm Systems." Biosystems Engineering 87, no. 2 (February 2004): 145–54. http://dx.doi.org/10.1016/j.biosystemseng.2003.10.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Yang, Mingan. "Bayesian variable selection for logistic mixed model with nonparametric random effects." Computational Statistics & Data Analysis 56, no. 9 (September 2012): 2663–74. http://dx.doi.org/10.1016/j.csda.2011.12.014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Fang, Yong, Lihua Chen, and Masao Fukushima. "A mixed R&D projects and securities portfolio selection model." European Journal of Operational Research 185, no. 2 (March 2008): 700–715. http://dx.doi.org/10.1016/j.ejor.2007.01.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Stadtler, Hartmut. "A general quantity discount and supplier selection mixed integer programming model." OR Spectrum 29, no. 4 (December 30, 2006): 723–44. http://dx.doi.org/10.1007/s00291-006-0066-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Sei, Tomonari, and Fumiyasu Komaki. "Bayesian prediction and model selection for locally asymptotically mixed normal models." Journal of Statistical Planning and Inference 137, no. 7 (July 2007): 2523–34. http://dx.doi.org/10.1016/j.jspi.2006.10.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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!