Статті в журналах з теми "Variety effects"

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1

Shibuya, T., Y. Yogo, M. Takahashi, M. Hajika, and J. Arihara. "Effects of bentazon on soybean variety." Journal of Weed Science and Technology 48, Supplement (2003): 74–75. http://dx.doi.org/10.3719/weed.48.supplement_74.

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2

Hrstková, P., O. Chloupek, and J. Bébarová. "Estimation of Barley Seed Vigour with Respect to Variety and Provenance Effects." Czech Journal of Genetics and Plant Breeding 42, No. 2 (November 21, 2011): 44–49. http://dx.doi.org/10.17221/3653-cjgpb.

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Анотація:
The study was aimed at determining potential differences in seed quality of spring and winter barley in relation to varieties (four winter and two spring barley varieties) and growing conditions (six locations, two years). Three tests were performed on each seed sample, i.e. (1) the standard germination test; (2) the low temperature and drought stress germination test and (3) the germination test in a salt solution. The effects of the factors of variety, provenance and year on seed vigour were estimated by the analysis of variance and Tukey’s post hoc test. The germination of winter varieties was influenced by provenance, both measures of vigour (2 and 3) by year, and significant differences between varieties were found in all three traits. Spring varieties differed only in germination and vigour (3) in one year when the influence of provenance prevailed. The results show different effects of variety and provenance on seed vigour. This could be promising for the breeding of high vigour barley varieties. Some preliminary results were obtained by using controlled deterioration (CD) as a vigour testing method for barley. The suitable conditions seem to be the combination of 45°C and 24% moisture content for the period of 24 hours.  
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3

Jia, Mengke, and Kwanho Suk. "Effects of Regulatory Focus on Consumer Preference for Variety and Non-Variety Bundles." Journal of Channel and Retailing 27, no. 3 (July 2022): 1–19. http://dx.doi.org/10.17657/jcr.2022.7.31.1.

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4

Matvienko, M. G., A. S. Pustovalov, and N. E. Dzerzhinsky. "Variety of functions and effects of kisspeptin." Biopolymers and Cell 29, no. 1 (January 20, 2013): 11–20. http://dx.doi.org/10.7124/bc.000801.

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5

Vories, Earl D., Andrea S. Jones, Calvin D. Meeks, and William E. Stevens. "Variety Effects on Cotton Yield Monitor Calibration." Applied Engineering in Agriculture 35, no. 3 (2019): 345–54. http://dx.doi.org/10.13031/aea.13144.

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Анотація:
Abstract.Cotton ( L.) producers were some of the earliest adopters of practices employing site-specific management. Yield monitors are an essential component of those precision agriculture methods. The agreement between measured cotton yields and those estimated with yield monitors must be improved to adequately advance precision agriculture, particularly the site-specific planting of multiple varieties. Six site-years of observations with two yield monitor systems were studied with the objective to compare yield monitor-estimated weights to observed weights in replicated cotton variety trials and investigate factors that could relate to any observed varietal effect. The results supported the findings of earlier research indicating that cotton yield monitor calibration is affected by variety. For the six site-years and three combinations of two site-years, correlations were sometimes observed between calibration errors and turnout or some of the High Volume Instrument (HVI) fiber quality measurements, but no factor was consistently correlated across multiple studies. In one study, none of the included factors was significantly correlated with calibration error, while the HVI properties reflectance (Rd) and leaf grade were both significantly correlated in three comparisons, which was more than any other factor. Data from additional site-years must be collected and analyzed and other factors investigated to find what variety-related properties affect yield monitor errors and to allow the determination of calibration adjustments based on those factors. Keywords: Cotton, Cotton picker, Harvest, Precision agriculture, Yield monitor.
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6

HASEGAWA, Jun. "Variety of Effects of Decoherence in Quantum Algorithms." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E92-A, no. 5 (2009): 1284–92. http://dx.doi.org/10.1587/transfun.e92.a.1284.

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7

Fornstrom, K. James, and Stephen D. Miller. "Herbicide and Variety Effects on Sugarbeet Stand Establishment." Journal of Sugarbeet Research 27, no. 1&2 (January 1, 1990): 20–28. http://dx.doi.org/10.5274/jsbr.27.1.20.

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8

Tazaki, Miyako, Arimichi Watanabe, Takashi Takano, Norikazu Yoshimine, Yasuhiro Kato, and Tetsuo Yamaguchi. "Effects of neurofeedback on variety of mental problems." Proceedings of the Annual Convention of the Japanese Psychological Association 84 (September 8, 2020): SS—043—SS—043. http://dx.doi.org/10.4992/pacjpa.84.0_ss-043.

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9

Chuang, Shih-Chieh, Chaang-Yung Kung, and Ya-Chung Sun. "THE EFFECTS OF EMOTIONS ON VARIETY-SEEKING BEHAVIOR." Social Behavior and Personality: an international journal 36, no. 3 (January 1, 2008): 425–32. http://dx.doi.org/10.2224/sbp.2008.36.3.425.

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Анотація:
A study with 124 subjects demonstrated that people are likely to include more variety in their consumption decisions when they are induced to a negative emotion than when they are induced to a positive emotion. This phenomenon is explained by emotion-maintenance theory.
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10

Norton, G. N. M., A. S. Anderson, and M. M. Hetherington. "Volume and variety: Relative effects on food intake." Physiology & Behavior 87, no. 4 (April 2006): 714–22. http://dx.doi.org/10.1016/j.physbeh.2006.01.010.

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11

Puligadda, Sanjay, and William T. Ross. "The unique effects of branding on variety perception." Journal of Brand Management 18, no. 2 (July 16, 2010): 134–49. http://dx.doi.org/10.1057/bm.2010.26.

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12

JIANG, Sheng, and Canfei HE. "Effects of related variety and unrelated variety on China’s export market diversification." Progress in Geography 41, no. 5 (2022): 770–84. http://dx.doi.org/10.18306/dlkxjz.2022.05.003.

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13

Webber, E. S., N. E. Chambers, J. A. Kostek, D. E. Mankin, and H. C. Cromwell. "Relative reward effects on operant behavior: Incentive contrast, induction and variety effects." Behavioural Processes 116 (July 2015): 87–99. http://dx.doi.org/10.1016/j.beproc.2015.05.003.

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14

Zhao, Jianbin, Zheng Li, and Guobao Xiong. "Effects of luck beliefs on consumers' variety-seeking behavior." Social Behavior and Personality: an international journal 49, no. 2 (February 4, 2021): 1–12. http://dx.doi.org/10.2224/sbp.9243.

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Анотація:
From a risk perspective and using the courage–ability–willingness theory in relation to consumer choice, we built a model with luck beliefs as the independent variable, psychological security and self-efficacy as mediating variables, optimum stimulation level as the moderating variable, and variety seeking as the outcome variable. We conducted an online survey and analyzed data from 593 participants using structural equation modeling. The results show that personal luckiness and belief in luck positively affected variety seeking, psychological security and self-efficacy mediated the influence of luck beliefs on variety seeking, and optimum stimulation level positively affected variety seeking and positively moderated the effect of personal luck on variety seeking. However, the moderating effect of belief in luck on variety seeking was nonsignificant. Practical and theoretical implications of the findings are discussed.
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15

Deng, Xiaoyan, Barbara E. Kahn, H. Rao Unnava, and Hyojin Lee. "A “Wide” Variety: Effects of Horizontal versus Vertical Display on Assortment Processing, Perceived Variety, and Choice." Journal of Marketing Research 53, no. 5 (October 2016): 682–98. http://dx.doi.org/10.1509/jmr.13.0151.

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The authors investigate how horizontal versus vertical displays of alternatives affect assortment processing, perceived variety, and subsequent choice. Horizontal (vs. vertical) displays are easier to process due to a match between the human binocular vision field (which is horizontal in direction) and the dominant direction of eye movements required for processing horizontal displays. It is demonstrated that this processing fluency allows people to browse information more efficiently, which increases perceived assortment variety and ultimately leads to more variety being chosen, and if the number of options chosen is allowed to vary, it leads to more options chosen. It is shown that because people see more variety in a horizontal (vs. vertical) display, they process a horizontal assortment more extensively. When more variety is positive, they find the choice task easier and have a higher level of satisfaction and confidence about their choices. When more variety is not necessarily positive, for example, in a choice of a single most-preferred option, these effects disappear. Two field studies, an eye-tracking study, and two lab studies support these conclusions.
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16

Gogel, Beverley J., Brian R. Cullis, and Arunus P. Verbyla. "REML Estimation of Multiplicative Effects in Multienvironment Variety Trails." Biometrics 51, no. 2 (June 1995): 744. http://dx.doi.org/10.2307/2532960.

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17

Sylvester, Benjamin D., David R. Lubans, Narelle Eather, Martyn Standage, Svenja A. Wolf, Desmond McEwan, Geralyn R. Ruissen, Megan Kaulius, Peter R. E. Crocker, and Mark R. Beauchamp. "Effects of Variety Support on Exercise-Related Well-Being." Applied Psychology: Health and Well-Being 8, no. 2 (April 21, 2016): 213–31. http://dx.doi.org/10.1111/aphw.12069.

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18

Adomavicius, Gediminas, Jesse Bockstedt, and Shawn P. Curley. "Bundling Effects on Variety Seeking for Digital Information Goods." Journal of Management Information Systems 31, no. 4 (January 2015): 182–212. http://dx.doi.org/10.1080/07421222.2014.1001266.

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19

Horrace, William C., Rui Huang, and Jeffrey M. Perloff. "Effects of increased variety on demand, pricing, and welfare." Research in Economics 70, no. 4 (December 2016): 569–87. http://dx.doi.org/10.1016/j.rie.2016.06.006.

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20

JungHo ban. "The Effects of Household Composition Variety on Income Inequality." Social Welfare Policy 38, no. 1 (March 2011): 85–111. http://dx.doi.org/10.15855/swp.2011.38.1.85.

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21

Fischer, Thomas. "Effects of variety reduction and amplification in circular feedback systems." Kybernetes 43, no. 9/10 (November 3, 2014): 1330–37. http://dx.doi.org/10.1108/k-09-2014-0185.

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Анотація:
Purpose – The purpose of this paper is to present the result of an experiment examining the effects of changing input and output channel variety in an optical feedback system and their potential to give rise to novelty, as some non-trivial systems do. Design/methodology/approach – The experimental design is based on a digital computer connected to a digital photo camera (input channel), and to a monitor screen (output channel). The camera is pointed at the monitor to form a circular feedback system. Monitor and camera resolutions constitute the variable input and output variety of the system, allowing the visual investigation of effects of variety reduction and variety amplification in circular feedback systems. Findings – Results suggest that variety amplification in input and/or output channels promotes the emergence of discernible novelty in the apparent absence of a creative/generative capability or agenda within the recursive system. Research limitations/implications – An analogy between an optical feedback system and human novelty generation is shown, while generalisability of observations made beyond the described experiment remains to be established. Originality/value – A new approach to the computational modelling of aspects of human creativity is presented. Photographic investigation of variety reduction and variety amplification is new, and hoped to be of value to those wishing to examine these theoretical concepts in concrete terms.
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22

Edmondson, R. N. "Growth curve analysis for treatments-by-environments interaction effects." Journal of Agricultural Science 112, no. 1 (February 1989): 9–17. http://dx.doi.org/10.1017/s0021859600084057.

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SummaryGrowth curves fitted to factorial data can be modelled using an extrinsic time variate or using the mean responses within the levels of a subset of factors. Where factors can be partitioned into a set of ‘treatment’ factors and a set of ‘environment’ factors, fitting growth curves to the mean effects of environments allows the effects of treatments to be assessed relative to a uniform background growth rate. This leads to a test of a null hypothesis of equal treatment effects in all environments, given that the mean growth rate and stage of development in all environments is equal. The approach is exemplified using data from a glasshouse tomato crop experiment testing variety, nutrient and sowing date factors. Variety and nutrient treatment effects were of direct interest but sowing dates were intended to generalize results by providing a range of growing environments. Treatment effects are analysed by modelling running cumulative yield totals by growth curves and regressing variety and nutrient growth variates on the mean growth variate within each sowing date. In the discussion the case of more than one environmental factor is considered.
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23

Qin, Xiaozhen, Shan Li, Weipan Xu, and Xun Li. "Which Export Variety Matters for Urban Economic Growth, Related or Unrelated Variety?" Sustainability 11, no. 16 (August 9, 2019): 4325. http://dx.doi.org/10.3390/su11164325.

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The relationship between export variety and economic growth has been paid much attention in academia. This paper discusses more deeply the relationship between export related and unrelated variety and economic growth, rather than mere export variety. This paper uses the entropy measurement method to measure the level of export variety of Chinese cities and use the concept of “proximity” proposed by Hidalgo to divide the related variety and unrelated variety. Using the panel data of 252 prefecture-level cities in China from 2000 to 2011, we attempt to explore the relationship between export variety, related and unrelated variety and urban economic growth. The empirical results show that it is not export variety as such, but related and unrelated variety that has effects on economic growth. Export related variety has a positive effect on economic growth, while unrelated variety has a negative effect. And there are obvious regional and size differences. The impact of export related and unrelated variety on eastern and coastal cities is greater than that on central and inland cities, and the impact on large-size cities is also greater than that on medium-size cities.
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24

Tanyaradzwa, Zimba Linah, Mtaita Tuarira, Mutetwa Moses, and Tabarira Jefta. "EFFECTS OF PLANTING DEPTH AND VARIETY ON CONTAINER PRODUCED POTATOES." Journal of Global Innovations in Agricultural and Social Sciences 3, no. 1 (March 1, 2015): 01–07. http://dx.doi.org/10.17957/jgiass/3.1.675.

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25

Luo, Xueming, Zhijie Lin, and Todd Schifeling. "The Divergent Effects of Platform Interfaces on Complementor Product Variety." Academy of Management Proceedings 2018, no. 1 (August 2018): 15407. http://dx.doi.org/10.5465/ambpp.2018.15407abstract.

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26

Krebs-Smith, Susan M., Helen Smiciklas-Wright, Helen A. Guthrie, and James Krebs-Smith. "The effects of variety in food choices on dietary quality." Journal of the American Dietetic Association 87, no. 7 (July 1987): 897–903. http://dx.doi.org/10.1016/s0002-8223(21)03212-0.

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27

Prasetyo, Joko. "EFFECTS OF TILLAGE SYSTEM – CORN VARIETY COMBINATIONS ON AIRBORNE DISEASES." Jurnal Hama dan Penyakit Tumbuhan Tropika 3, no. 1 (March 3, 2003): 6–9. http://dx.doi.org/10.23960/j.hptt.136-9.

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Анотація:
Pengaruh Kombinasi Sistem Olah Tanah dan Varietas Jagung terhadap Penyakit-penyakit Terbawa Udara. Suatu percobaan telah dilakukan untuk mengetahui pengaruh kombinasi sistem olah tanah dan varietas jagung terhadap beberapa penyakit atau patogen terbawa udara, yaitu patogen bulai, karat, dan hawar daun. Percobaan ini disusun secara faktorial (2 x 3) dalam rancangan acak kelompok lengkap dengan enam ulangan. Percobaan terdiri dari enam kombinasi perlakuan, yaitu varietas RR-corn ditanam pada sistem olah tanah konservasi (RRCT), C7 ditanam pada sistem olah tanah konservasi (C7CT), Bisma ditanam pada sistem olah tanah konservasi (BCT), RR-corn ditanam pada sistem olah tanah sempurna (RRFT), C7 ditanam pada sistem olah tanah sempurna (C7FT), dan Bisma ditanam pada sistem olah tanah sempurna BFT). Hasil percobaan menunjukkan bahwa secara nyata kombinasi sistem olah tanah dan varietas jagung mempengaruhi intensitas penyakit. Kombinasi sistem olah tanah dan varietas jagung berpengaruh terhadap penyakit bulai. Varietas jagung yang ditanam pada sistem olah tanah konservasi secara nyata menurunkan intensitas penyakit bulai dibandingkan dengan varietas jagung yang ditanam pada sistem olah tanah sempurna, kecuali varietas Bisma. Hasil penelitian juga menunjukkan bahwa varietas Bisma dapat menurunkan intensitas penyakit bulai dibandingkan dengan varietas RR-corn dan C7 pada sistem olah tanah sempurna. Kombinasi sistem olah tanah dan varietas jagung berpengaruh terhadap intensitas penyakit karat. Pada sistem olah tanah konservasi, secara nyata varietas C7 menurunkan intensitas penyakit karat dibandingkan dengan RR-corn dan Bisma. Varietas RR-corn dan Bisma menurunkan intensitas penyakit karat bila ditanam pada sistem olah tanah sempurna bila dibandingkan dengan yang ditanam pada sistem olah tanah konservasi. Kombinasi sistem olah tanah dan varietas jagung juga secara nyata berpengaruh terhadap intensitas penyakit hawar daun. Varietas RR-corn dan Bisma yang ditanam pada sistem olah tanah sempurna menurunkan intensitas penyakit hawar daun bila dibandingkan dengan yang ditanam pada sistem olah tanah konservasi.
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28

Kahn, Barbara E., and Jagmohan S. Raju. "Effects of Price Promotions on Variety-Seeking and Reinforcement Behavior." Marketing Science 10, no. 4 (November 1991): 316–37. http://dx.doi.org/10.1287/mksc.10.4.316.

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29

Achouri, Allaoua, Joyce Irene Boye, and Youness Zamani. "Soybean variety and storage effects on soymilk flavour and quality." International Journal of Food Science & Technology 43, no. 1 (January 2008): 82–90. http://dx.doi.org/10.1111/j.1365-2621.2006.01393.x.

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30

Chun, J., J. Lee, L. Ye, and R. R. Eitenmiller. "Effects of Variety and Crop Year on Tocopherols in Pecans." Journal of Food Science 67, no. 4 (May 2002): 1356–59. http://dx.doi.org/10.1111/j.1365-2621.2002.tb10288.x.

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31

Wang, Jian, Bart Thijs, and Wolfgang Glänzel. "Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity." PLOS ONE 10, no. 5 (May 22, 2015): e0127298. http://dx.doi.org/10.1371/journal.pone.0127298.

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32

NEGISHI, Haruo, and Sumio YOSHIKAWA. "The Effects of Beef Muscle Variety on Beef Aging Indices." Nihon Chikusan Gakkaiho 64, no. 12 (1993): 1168–77. http://dx.doi.org/10.2508/chikusan.64.1168.

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33

Sylvester, Benjamin D., Martyn Standage, Desmond McEwan, Svenja A. Wolf, David R. Lubans, Narelle Eather, Megan Kaulius, et al. "Variety support and exercise adherence behavior: experimental and mediating effects." Journal of Behavioral Medicine 39, no. 2 (November 6, 2015): 214–24. http://dx.doi.org/10.1007/s10865-015-9688-4.

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34

Zaniboni, Sara, Donald M. Truxillo, and Franco Fraccaroli. "Differential effects of task variety and skill variety on burnout and turnover intentions for older and younger workers." European Journal of Work and Organizational Psychology 22, no. 3 (June 2013): 306–17. http://dx.doi.org/10.1080/1359432x.2013.782288.

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35

Kato-Vidal, Enrique L. "Industrial Variety, Firms and Resilience." Studies in Business and Economics 17, no. 2 (August 1, 2022): 141–59. http://dx.doi.org/10.2478/sbe-2022-0030.

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Анотація:
Abstract Recessions and natural disasters continually slow down the economy. The scale of the effects depends on the origin of the crisis, the response capacity, among other factors. The objective of this article was to study the impact of the recession due to covid-19 on business creation. Using indicators of related and unrelated variety, the industrial diversity of 16 states of Mexico was measured. The main source of information was administrative data. The results show that a region with higher related industrial diversity has greater resilience and more firms. In times of crisis, these results could be used to assess the loss of businesses, given the type and scale of industrial variety.
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36

Modrak, Vladimir, and Zuzana Soltysova. "Assessment of Product Variety Complexity." Entropy 25, no. 1 (January 6, 2023): 119. http://dx.doi.org/10.3390/e25010119.

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Product variety complexity assessment plays a vital role in system design, as it has tremendous negative effects on manufacturing complexity in assembly systems and supply chains. On the other hand, practitioners and researchers frequently consider the number of product variants as a sufficient measure to be used to manage this kind of complexity. However, as shown in this study, such a measure does not reflect all pertinent features of complexity. Therefore, the main goal of the paper is to develop a measurement method for product variety complexity that adequately reflects relevant relations between the portfolio of optional components and the number of product variants. As presented in the paper, the concept of information theory can be effectively applied to measure product variety complexity. Moreover, such a measure can also be useful to better understand this system’s properties in order to reduce the level of variety-induced complexity. As such, the proposed method can be viewed as a complementary tool for reducing manufacturing complexity in terms of mass customization. The developed complexity metric was successfully tested on a realistic design example.
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37

Buessing, Zachary T., and Jaymelynn K. Farney. "46 Effects of Implants, Clover, and Fescue Variety on Stocker Steers." Journal of Animal Science 99, Supplement_1 (May 1, 2021): 146. http://dx.doi.org/10.1093/jas/skab054.249.

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Abstract Fescue thrives due to a symbiotic relationship with a fungus called endophyte. Endophyte releases ergot toxins leading to metabolic issues, such as vasoconstriction, rough hair coats and poor cattle gains. Developments have occurred to remove or limit the toxins. The objective of this project was to identify management practices while grazing fescue to improve production and toxicity issues. Sixty-four growing steers (283 ± 14 kg BW) were used in a split-plot experiment, where the whole plot was pasture and the split plot was implants. Whole plot treatment was a 4 x 2 factorial with four levels of fescue (High Endophyte, Low Endophyte, Novel, Endophyte Free) and two levels of legume (Legumes or No Legumes). Split plot included four implant levels (No Implant, Synovex One Grass, Revalor-G, Ralgro). Data collected were weights, hair coat scores, hair length, rectal temperature (every 28d) and ultrasound carcass characteristics last day on pasture. Data were analyzed using the Glimmix Procedure of SAS (v. 9.4, Cary, NC). Steers on high endophyte had the lowest ADG, longest hair, and highest temperature as compared to steers on all other fescue types (P < 0.05). The gain differentiation was observed beginning at D56 through the end of the study (P < 0.05). Overall ADG was not impacted by addition of legume nor implant type (P > 0.10). Steers that were not implanted had a longer hair length throughout many measurement dates (P < 0.05). Steers grazing pastures with legume tended (P < 0.10) to have a higher ultrasound measured marbling score and less muscle depth. This study found that the best management strategy for fescue toxicity is to use non-endophyte or non-toxic varieties of fescue pasture. Contrary to previous research, the addition of implants and legumes for this project showed no improvement in cattle gains.
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Tack, Jesse, Andrew Barkley, and Lawton Lanier Nalley. "Heterogeneous effects of warming and drought on selected wheat variety yields." Climatic Change 125, no. 3-4 (June 24, 2014): 489–500. http://dx.doi.org/10.1007/s10584-014-1185-1.

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Pavlista, Alexander D. "Effects of substituted nitroguanidine seed treatments on the potato variety Superior." American Potato Journal 71, no. 6 (June 1994): 395–404. http://dx.doi.org/10.1007/bf02849402.

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Frensch, Richard, and Achim Schmillen. "Can we identify Balassa–Samuelson effects with measures of product variety?" Economic Systems 35, no. 1 (March 2011): 98–108. http://dx.doi.org/10.1016/j.ecosys.2010.11.003.

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