Academic literature on the topic 'Yield factors'

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Journal articles on the topic "Yield factors"

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Ciappesoni, G., JPřibyl, M. Milerski, and V. Mareš. "Factors affecting goat milk yield and its composition." Czech Journal of Animal Science 49, No. 11 (2011): 465–73. http://dx.doi.org/10.17221/4333-cjas.

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The aim of the paper was to prove the accuracy of various statistical models of vari­ance analysis for estimation of systematic factors that influence milk yield and fat and protein content in dairy goats. Data on daily milk production recorded by methods AT, AC or A4 for the population of Czech White Shorthaired Goats over 1992–2002 was used for calculations. A total of 78 736 test day from 6 234 goats were analysed. Average daily milk production was 3.09 kg with 3.72% of fat and 2.84% of protein. Variability of examined traits was significantly influenced by effects of herd-year or herd-test day, litter size, parity, season of kidding, stage of lactation and the combined effect parity-year-season of kidding. The variants of model equations in which complex effects of herd-year were replaced by effects of herd-test day showed higher values of reliability for the three traits analysed.  
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Casanova, D., J. Goudriaan, M. M. Catala Forner, and J. C. M. Withagen. "Rice yield prediction from yield components and limiting factors." European Journal of Agronomy 17, no. 1 (2002): 41–61. http://dx.doi.org/10.1016/s1161-0301(01)00137-x.

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Barber, J. S., and R. S. Jessop. "Factors affecting yield and quality in irrigated wheat." Journal of Agricultural Science 109, no. 1 (1987): 19–26. http://dx.doi.org/10.1017/s002185960008093x.

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SummaryTwo field experiments examined the effects of nitrogen fertilizer, irrigation frequency and three wheat varieties on the yield and quality of irrigated wheat on a heavy clay soil. In the first experiment, with irrigation supplied to all plots at mid-tillering and close to ear emergence, there were negative effects of nitrogen fertilizer on grain yield with the reverse occurring with grain protein. The variety Songlen had one of the highest grain yields combined with higher milling yields and flour protein. In the second experiment, yield was maximized with at least two irrigations, whilst increasing irrigation frequency reduced flour protein and dough development time. While WW15 gave the highest yields irrespective of nitrogen or irrigation treatments, this variety had the lowest flour protein. With only one irrigation or without irrigation, nitrogen fertilizer increased grain protein; more frequent irrigation reduced mean flour protein.
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Crawford, T. D., D. G. Himelrick, and J. L. Sibley. "Factors Influencing Strawberry Plug Plant Performance." HortScience 33, no. 3 (1998): 538a—538. http://dx.doi.org/10.21273/hortsci.33.3.538a.

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Three studies evaluating production of strawberry (Fragaria × ananassa Duch.) plug plants were conducted. The influence of runner tip plantlet size, container size, and chilling on the field performance of `Chandler' plug plants were evaluated over a 2-year period in central and southern Alabama. Plantlet size did not significantly influence yield following transplanting; therefore, grading of plantlets prior to propagation appears to be an unnecessary expense for successful yields from plug plants. There were no significant differences in yields of plug plants from 60-cell vs. 72-cell packs; therefore, growers could produce more plug plants in the same area without compromising total yield, early yield, or berry size when propagating plug plants in 72-cell packs. The influence of 1, 2 or 3 months of runner tip cold storage prior to rooting in cell packs was also investigated.
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Sárvári, M., and P. Pepó. "Effect of production factors on maize yield and yield stability." Cereal Research Communications 42, no. 4 (2014): 710–20. http://dx.doi.org/10.1556/crc.2014.0009.

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Carew, Richard, Elwin G. Smith, and Cynthia Grant. "Factors Influencing Wheat Yield and Variability: Evidence from Manitoba, Canada." Journal of Agricultural and Applied Economics 41, no. 3 (2009): 625–39. http://dx.doi.org/10.1017/s1074070800003114.

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Production functions to explain regional wheat yields have not been studied extensively in the Canadian prairies. The objective of this study is to employ a Just-Pope production function to examine the relationship between fertilizer inputs, soil quality, biodiversity indicators, cultivars qualifying for Plant Breeders' Rights (PBR), and climatic conditions on the mean and variance of spring wheat yields. Using regional-level wheat data from Manitoba, Canada, model results show nitrogen fertilizer, temporal diversity, and PBR wheat cultivars are associated with increased yield variance. Mean wheat yield is reduced by the proportion of land in wheat, the interaction of growing temperature and precipitation, and spatial diversity. By contrast, higher soil quality and PBR wheat cultivars increase mean yield. The wheat yield increases attributed to PBR range from 37.2 (1.4%) to 54.5 kg/ha (2.0%). Plant Breeders' Rights may have enhanced royalties from increased certified seed sales, but the benefits in terms of higher wheat yield or lower yield variability are limited. Future research is required to understand the interactive effects of fertilization practices, genetic diversity, and environmental conditions on regional wheat yield stability.
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WILCOX, A., N. H. PERRY, N. D. BOATMAN, and K. CHANEY. "Factors affecting the yield of winter cereals in crop margins." Journal of Agricultural Science 135, no. 4 (2000): 335–46. http://dx.doi.org/10.1017/s002185969900828x.

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Yields of arable crops are commonly lower on the crop margins or headlands, but the nature of the relationship between yield and distance from the crop edge has not been clearly defined, nor have the reasons for lower marginal yields. Surveys of 40 winter wheat headlands were carried out in 2 years to determine how yield changed with distance, and what factors might influence this relationship. Two field experiments were also conducted over 3 years in winter cereal headlands, in which the effect of distance was measured under conservation headland and conventional (fully sprayed) management.Yields in the headland surveys varied from 0·8 to 10·2 t/ha. An inverse polynomial regression model was fitted to yield and weed data. Best fits were obtained by using separate parameters for each site. Adjusting yields to take account of weed dry matter improved the non-linear fit between yield and distance from crop edge. Field experiments provided similar results but the non-linear relationship was not as apparent.There was a negative relationship between soil compaction, as measured by a cone penetrometer, and yield in one field experiment, where soil density values were relatively constant. No relationship was found between pattern of nitrogen fertilizer application and yield. Conservation headland management resulted in lower yield at one experimental site, especially in the third year, but not at the other site. Where yields were affected, weed dry matter was higher in conservation headland plots than in fully sprayed plots.Although greater weed competition appears to account for at least part of the observed yield reductions on headlands, the role of other factors, particularly soil compaction, needs further study. Increased weed infestation may be an indirect result of reduced crop competition caused by other adverse conditions.
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Zymaroieva, Anastasiia, Oleksandr Zhukov, Tetiana Fedoniuk, Tetyana Pinkina, and Volodymyr Vlasiuk. "Edaphoclimatic factors determining sunflower yields spatiotemporal dynamics in northern Ukraine." OCL 28 (2021): 26. http://dx.doi.org/10.1051/ocl/2021013.

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The climate and soil conditions have a significant impact on sunflower yields. Sunflower yield dynamics in the Central European mixed forests (Polissya) and Eastern European forest-steppe ecoregions in Ukraine from 1991 to 2017 was proved to fit a log-logistic model most adequately. The model has four characteristic parameters: the Lower Limit indicates the lowest level of yield over the study period; the Slope indicates the rate of yield increase over time; the ED50 is the time required to reach half of the maximum yield level and simultaneously the point with the highest rate of yield increase; the Upper Limit shows the highest yield level. The parameters of the yield model are used to meaningfully interpret the causes of yield dynamics. Edaphoclimatic factors account for 34 to 58% of the variation in the yield trend parameters. The soil texture and soil organic carbon (SOC) predominate among the edaphic factors that determine the variability of sunflower yield. Continentality of climate and degree of temperature variability during the growing season are the main climatic determinants of sunflower yield parameters.
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Wang, Li Feng, Ze Yan Wu, and Zhi Jun Meng. "Magnetron Sputtering Yield and Relative Factors." Advanced Materials Research 361-363 (October 2011): 1655–63. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1655.

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In this work, we mainly summarize the influence of the ion bombardment cathode (target) and relative factors of magnetron sputtering yield in production thin film. Magnetron sputter deposition permits a much wider selection of film materials, produces films with higher purity and better controlled composition, provides films with greater adhesive strength and homogeneity, and permits better control of deposit thickness. Unlike most other work described about sputtering yield, sputtering for thin-film production is performed using the plasma rather than a focused ion beam. When an ion with the energy hits a surface of the target, a small fraction of the energy and momentum of the incoming ion will, through lattice collisions, be reversed and may cause ejection of surface atoms (sputtering). The average number of the atoms ejected from the cathode surface per incident ion is called the sputtering yield. The sputtering yield varies with the target material, the kind of impinging ion, and the energy of that ion. At a given ion energy, The sputtering yield increases with increasing angle of incidence up to a maximum at an angle between 55 ° and 85 ° with respect to the surface normal [1, 3].
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Machado, A. P., M. A. Otto, M. L. Bernardi, I. Wentz, and F. P. Bortolozzo. "Factors influencing colostrum yield by sows." Arquivo Brasileiro de Medicina Veterinária e Zootecnia 68, no. 3 (2016): 553–61. http://dx.doi.org/10.1590/1678-4162-8326.

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ABSTRACT An adequate colostrum intake, in order to ensure the survival and weight gain of piglets, depends on the sow's ability to produce enough colostrum for the whole litter. The aim of this study was to evaluate factors involved in colostrum yield (CY) variability related to the sow, the litter and the farrowing process. The experiment was conducted with 96 Camborough 25(r) sows of parities one to seven, whose farrowing was spontaneous. Colostrum production of each sow was estimated by summing up the colostrum intake of each piglet in the litter, estimated by an equation that takes into account the birth weight and weight gain during the first 24h of life. The multiple regression model explained 28% of variation in CY, with 24% and 4% respectively of variation being explained by the litter birth weight and the width of the first mammary glands. Litter birth weight was positively correlated with the number of total born (r= 0.73) and born alive piglets (r= 0.83). When categorised into two groups of colostrum yield (LOWCY; ≤3.4kg; n= 46 vs HIGHCY; >3.4kg; n= 50), LOWCY sows had fewer total born and born alive piglets and lighter litters (P<0.05). The logistic regression analysis showed that sows from parities 1, 2 and >3 had greater odds (P≤0.05) of belonging to the LOWCY group than parity 3 sows. Sows with two or more obstetrical interventions had higher odds (P<0.05) of belonging to the LOWCY group than sows without interventions during farrowing. The higher colostrum yield observed in sows of parity 3 and sows with less than two obstetrical interventions during farrowing was associated with a greater number of nursed piglets. This study showed that total birth weight of born alive piglets is the most important factor involved in colostrum yield variability, indirectly representing the number of piglets nursed by the sow.
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Dissertations / Theses on the topic "Yield factors"

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Gonçalves, Júlia Alves Roque. "Yield gap explaining factors and solutions to improve yields in a maize farm in Portugal." Master's thesis, ISA, 2019. http://hdl.handle.net/10400.5/21289.

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Mestrado em Engenharia Agronómica / Instituto Superior de Agronomia. Universidade de Lisboa
Over the decades, it has been found that agricultural intensification, that is, the increase in production per hectare, is substantially urgent and necessary, justified by the observed and expected population increase and the impossibility of agricultural expansion. One of the methods for achieving this goal is the study and investigation of yield gaps, which may be explained by unfavorable soil and climate conditions, or less adequate input management. Given the socio-economic importance of maize crop in Portugal and the need for case studies that exemplify agricultural intensification methods, this dissertation aims to discover which are the reducing factors that justify the gap between the maximum and actual yields, known as yield gaps, which were analyzed between plots and years, and how large was the yield gap over the 10 years. Through a database of irrigation appropriations, nitrogen applications, sowing dates and climate data, collected over 10 years and provided by Milho Amarelo company, located in the Santarem region, other variables were calculated, such as degree-day accumulation, cultural evapotranspiration and intercepted radiation. These data were analyzed annually according to the whole cycle and according to different phenological phases (vegetative and reproductive). Once all variables were obtained and organized, statistical methods of bivariate and multivariate analysis were performed. The magnitude of yield gap was calculated according to the Approach 2 indicated by FAO 41. The results show that interaction of sowing dates with climatic conditions are in the nature of this deviation, with gap’s magnitude ranging from 5% to 20%, depending on the climatic conditions of the year
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Sanhueza, Gonzalez Javier Enrique. "Three essays on global yield curve factors and international linkages across yield curves." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/three-essays-on-global-yield-curve-factors-and-international-linkages-across-yield-curves(6dd58365-6d0d-4928-9908-8fdc924df984).html.

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This thesis presents three essays on global yield curve factors and international linkages across yield curves. The essays represent a contribution to our understanding of the effect of globalization on yields, addressing three topics: modeling global and local yield curve factors, modeling global and local yield curve factors in excess bond returns and a joint model of global macroeconomic and yield curve factors. The first essay proposes and develops an empirical model of global and local yield curve factors based on three factors proposed by Nelson and Siegel (1987) dynamized and reinterpreted by Diebold and Li (2006) as level, slope and curvature. The results support the existence of a global yield curve composed of global factors which together with local factors describe the yield curve of the USA, Germany and the UK. Specifically, the global factors explain on average 55% of the variance of yields, and impulse response functions indicate that shocks to global factors are larger and last longer than shocks to local factors. In the second essay, we examine the predictability content of the global and local yield curve factor model to predict excess bond returns one year ahead. We use a rolling window of fifteen years to compare in-sample predictability of our model and two benchmark models: the model proposed by Cochrane and Piazzesi (2005) and the global and local factor model proposed by Dahlquist and Hasseltoft (2011). The results indicate that the global and local yield curve factors from our model predict excess bond returns with an adjusted R² up to 59%. We also find that global factors explain up to 58% of the forecast error variance when predicting excess bond returns. Moreover, our model outperforms both competing models considering the USA, Germany and the UK.The third essay proposes and estimates a joint model of global macroeconomic and yield curve factors, which shows the interaction between global yield curve factors and global macroeconomic factors. Our findings show that the influence of macroeconomic factors on yield curve factors is stronger than the influence of yield curve factors on macroeconomic factors.
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Stanley, Jordan. "Yield-Limiting Factors in North Dakota Soybean Fields." Thesis, North Dakota State University, 2017. https://hdl.handle.net/10365/28382.

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Average soybean [Glycine max (L.) Merrill] yields in North Dakota remain below north central USA averages, and crop yield potentials. The effect of planting date (PD), cultivar relative maturity (RM), and seeding rate (SR), on yield, were evaluated in 821 producer fields in 2014-2016 seasons. Crop management varied by location. State average PD was 19 May, and planting after 1 May reduced yield average 0.4% d-1. Planting a cultivar with 0.1 RM earlier than recommended reduced yield by 1.3%. Producers estimated seedling mortality at 10%; when observed, it was 12.3%. An additional 7.9% reduction of established population occurred in-season. In-season plant reductions of 4.5% were also observed in research trials. North Dakota producers should plant closer to 1 May if conditions are favorable, select latest-maturing cultivars adapted for area, maximize established plant population relative to seeding rate, and determine causes of in-season plant reductions to adapt management practices if necessary.
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Mog, David L. "An analysis of factors influencing wheat flour yield." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/12452.

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Master of Agribusiness
Department of Agricultural Economics
John A. Fox
The cost of wheat is the largest input cost for a flour mill, and as a result, profitability in wheat flour milling is determined in large part by milling efficiency – i.e., the amount of flour extracted per unit of wheat milled. In this project the objective was to quantify the influence of several measurable variables on flour mill efficiency. Data was collected from two commercial milling units of similar size. Linear regression was then used to estimate the relationship between flour yield and variables measuring grain characteristics and environmental factors. The analysis suggests that increasing ambient temperature and the occurrence of downtime both have a significant negative effect on flour yield. A significant difference in flour yield efficiency was also found between the two mills.
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Louis, D. V. "Physiological factors affecting yield in Allium cepa cv. Kelsae." Thesis, Nottingham Trent University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.354387.

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Hogge, Murray Charles. "Effects of site, season and husbandry on yield and processing quality of the potato variety Pentland Dell." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.330034.

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Long, F. N. J. "Factors affecting fibre yield and quality in glyphosate desiccated flax." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373552.

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Roel, Dellazoppa Alvaro. "Factors underlying grain yield spatiotemporal variability in California rice fields /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.

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Lawson, Elizabeth Anne. "Autologous Stem Cell Transplant: Factors Predicting the Yield of CD34+ Cells." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1144.pdf.

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Griffin, Robert K. "Critical success factors of lodging yield management systems : an empirical study /." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-07102007-142522/.

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Books on the topic "Yield factors"

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Massie, M. R. C. Hog fuel yield factors for British Columbia. Pacific Forestry Centre, 1989.

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High-yield immunology. Lippincott Williams & Wilkins, 1999.

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Johnson, Arthur G. High-yield immunology. 2nd ed. Lippincott Williams & Wilkins, 2005.

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Teigen, Lloyd D. Weather and yield, 1950-94: Relationships, distributions, and data. Economic Research Service, Commercial Agriculture Division, 1995.

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Waldron, Marcus C. Factors affecting firm yield and the estimation of firm yield for selected streamflow-dominated drinking-water-supply reservoirs in Massachusetts. U.S. Geological Survey, 2006.

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Molloy, Matthew. An investigation of various cultural factors affecting the seed yield of potatoes grown from minitubers of the cultivar record. University College Dublin, 1995.

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IDF, Seminar (1993 Cork Ireland). Cheese yield and factors affecting its control: Proceedings of the IDF Seminar, held in Cork, Ireland, April 1993. International Dairy Federation, 1994.

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Subedi, K. D. Assessment of the major yield limiting factors of wheat grown under irrigated conditions and performance of intercropping of wheat with pea and tori, 1993: 94.. Lumle Agricultural Research Centre, 1994.

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Weather and grain yields in the Soviet Union. International Food Policy Research Institute, 1986.

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Lildholdt, Peter. An affine macro-factor model of the UK yield curve. Bank of England, 2007.

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Book chapters on the topic "Yield factors"

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Heitholt, J. J. "Cotton: Factors Associated with Assimilation Capacity, Flower Production, Boll Set, and Yield." In Crop Yield. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58554-8_7.

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Jones, R. J. "Intrinsic Factors Regulating Seed Development." In Physiology and Determination of Crop Yield. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1994.physiologyanddetermination.c10.

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Sudduth, K. A., S. T. Drummond, S. J. Birrell, and N. R. Kitchen. "Analysis of Spatial Factors Influencing Crop Yield." In Proceedings of the Third International Conference on Precision Agriculture. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1996.precisionagproc3.c13.

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Putnam, Daniel H. "Factors Influencing Yield and Quality in Alfalfa." In The Alfalfa Genome. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74466-3_2.

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Bruns, R., and C. J. Peterson. "Yield and stability factors associated with hybrid wheat." In Developments in Plant Breeding. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-4896-2_4.

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Vásquez, Julio A., and Renato Westermeier. "Limiting factors in optimizing seaweed yield in Chile." In Fourteenth International Seaweed Symposium. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1998-6_38.

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Li, Dongpo, Teruaki Nanseki, Yuji Matsue, Yosuke Chomei, and Shuichi Yokota. "Identifying the Rice Yield Determinants Among Comprehensive Factors." In Empirical Analyses on Rice Yield Determinants of Smart Farming in Japan. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6256-7_4.

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Dennis, F. G. "Factors Affecting Yield in Apple, with Emphasis on ‘Delicious’." In Horticultural Reviews. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118060742.ch10.

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Elishakoff, Isaac. "Safety Factors and Reliability: Random Actual Stress & Deterministic Yield Stress." In Safety Factors and Reliability: Friends or Foes? Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2131-2_3.

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Elishakoff, Isaac. "Safety Factors and Reliability: Deterministic Actual Stress & Random Yield Stress." In Safety Factors and Reliability: Friends or Foes? Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2131-2_4.

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Conference papers on the topic "Yield factors"

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Aftab, G., M. Ahmad, D. Ngo, and D. S. Frenia. "Factors Affecting Yield of Electromagnetic Navigational Bronchoscopy." In American Thoracic Society 2021 International Conference, May 14-19, 2021 - San Diego, CA. American Thoracic Society, 2021. http://dx.doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a4818.

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Joel O. Paz and William D. Batchelor. "Web-based Soybean Yield Simulation Model to Analyze the Effects of Interacting Yield-Limiting Factors." In 2003, Las Vegas, NV July 27-30, 2003. American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.14079.

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Gibbs, Jason. "Factors affecting pollinator diversity and yield in highbush blueberry." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.94027.

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Farook, Rohani S. Mohamed, Abdul Hallis Abdul Aziz, Azizi Harun, et al. "Data Mining on Climatic Factors for Harumanis Mango Yield Prediction." In 2012 3rd International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2012. http://dx.doi.org/10.1109/isms.2012.51.

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Kozubík, Aleš. "ON THE RISK FACTORS OF THE YIELD IN THE CRYPTOCURRENCIES MARKET." In 2nd International Scientific Conference. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2018. http://dx.doi.org/10.31410/itema.2018.507.

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Wang, Dong, and Carl J. Rosen. "Determining growth-and yield-limiting factors in potato from canopy spectral reflectance." In Optical Science and Technology, SPIE's 48th Annual Meeting. SPIE, 2004. http://dx.doi.org/10.1117/12.514560.

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Patashinski, Alexander. "Pre-Yield Shear in Glasses." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62299.

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A glassy material is treated as a mosaic of soft and hard clusters. Plastic shear under high shear stress takes place in soft clusters as a series of elementary local slip and stick processes; stress-strain relations are discussed in terms of these elementary acts and their activation energies. Two special situations are considered: a glass where the initial distribution of soft clusters is created by damaging irradiation or other factors, and disappears in the process of shear, and a glass where interaction of soft and hard clusters maintains a time-independent distribution of activation energies.
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"Computer Simulation of Maize Yield by Fisher Integral Model Based on Meteorological Factors." In 2018 3rd International Conference on Computer Science and Information Engineering. Clausius Scientific Press, 2018. http://dx.doi.org/10.23977/iccsie.2018.1043.

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Sun, Xiwen, An Zhang, and Qingwen Qi. "Analysis of influencing factors on grain crop yield in Qiqihar city, Heilongjiang Province." In 2016 5th International Conference on Agro-geoinformatics (Agro-geoinformatics). IEEE, 2016. http://dx.doi.org/10.1109/agro-geoinformatics.2016.7577703.

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Mu, Da-Gang, and Hua-Lin Xu. "Photosynthetic Yield Model and the Response to Environmental Factors for Five Mangrove Species." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5163189.

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Reports on the topic "Yield factors"

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Costelle, A. Heat Loss Correction Factor for Fireball Yield Measurements. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1657688.

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Amzeri, Achmad, B. S. DARYONO, and M. SYAFII. GENOTYPE BY ENVIRONMENT AND STABILITY ANALYSES OF DRYLAND MAIZE HYBRIDS. SABRAO Journal of Breeding and Genetics, 2020. http://dx.doi.org/10.21107/amzeri.2020.2.

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The phenotypic analysis of new candidate varieties at multiple locations could provide information on the stability of their genotypes. We evaluated the stability of 11 maize hybrid candidates in five districts in East Java Province, Indonesia. Maize hybrids with high yield potential and early maturity traits derived from a diallel cross were planted in a randomized complete block design with two checks (Srikandi Kuning and BISI-2) as a single factor with four replicates. The observed traits were grain yield per hectare and harvest age. The effects of environment, genotype, and genotype × environment interaction on yield were highly significant (P < 0.01). KTM-1, KTM-2, KTM-4, KTM-5, and KTM-6 showed higher average grain yield per hectare than the checks (Srikandi Kuning = 8.49 ton ha−1 and BISI-2 = 7.32 ton ha−1) at five different locations. The average harvest age of 11 candidates was less than 100 days. KTM-4 and KTM-5 had production yields that were higher than the average yield of all genotypes in all environments (Yi > 7.78 tons ha−1) and were considered stable on the basis of three stability parameters, i.e., Finlay–Wilkinson, Eberhart–Russell, and additive main effect multiplicative interaction (AMMI). KTM-2 had the highest yield among all tested genotypes (9.33 ton ha−1) and was considered as stable on the basis of AMMI but not on the basis of Finlay–Wilkinson and Eberhart–Russell. KTM-1 performed well only in Pamekasan, whereas KTM-6 performed well only in Sampang. Thus, these two genotypes could be targeted for these specific locations.
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Diebold, Francis, Glenn Rudebusch, and S. Boragan Aruoba. The Macroeconomy and the Yield Curve: A Dynamic Latent Factor Approach. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10616.

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Balduzzi, Pierluigi, Sanjiv Ranjan Das, and Silverio Foresi. The Central Tendency: A Second Factor in Bond Yields. National Bureau of Economic Research, 1997. http://dx.doi.org/10.3386/w6325.

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Bergin, M. S., A. G. Russell, Y. J. Yang, J. B. Milford, F. Kirchner, and W. R. Stockwell. Effects of Uncertainty in SAPRC90 Rate Constants and Selected Product Yields on Reactivity Adjustment Factors for Alternative Fuel Vehicle Emissions. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/285490.

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Jessop, Colin P. Measurement of the {bar B} {yields} D{ell}{bar {nu}} Anti-Neutrino Partial Width and Form Factor Parameters. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/813077.

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Caballero, Ricardo, Emmanuel Farhi, and Pierre-Olivier Gourinchas. Rents, Technical Change, and Risk Premia: Accounting for Secular Trends in Interest Rates, Returns on Capital, Earning Yields, and Factor Shares. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23127.

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Spano, Christian, Paolo Natali, Charles Cannon, et al. Latin America and the Caribbean 2050: Becoming a Global Low-Carbon Metals and Solutions Hub. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003412.

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This report evaluates scope 3 emissions along the copper and iron ore value chains and the opportunities that Latin America and the Caribbean (LAC) has to become a low carbon metals and solutions hub. The report presents four carbon emission scenarios that represent different sets of decisions for policy-makers and investors. Two scenarios fall short of aligning with Paris targets: (1) the business as usual (BaU) scenario with no further abatement action; and (2) a BaU scenario with the current level of emission reduction potential from players in the value chain (BaU Possible). The other two scenarios deliver the required carbon reductions to be compliant with the Paris Agreement by 2060, but through different strategies: (3) the BaU Paris scenario. where alignment with Paris targets is achieved by keeping BaU volumes and reducing carbon intensity per tonne of metal; and (4) the Decoupled scenario, where carbon intensity reductions are relaxed and compensated by a reduction in primary supply to align the value chain emissions to a Paris trajectory. All scenarios require LACs leaders to consider investments in low-carbon technology in different degrees. The report argues that, given its competitive position in the cost curve for copper and iron ore and an abundance of enabling factors for low carbon strategies, the region could become a key source of low carbon metals and solutions as long as it is proactive in adopting all the necessary measures from public sector and industry perspectives. Finally, the report concludes that myriad opportunities exist for LAC, including new business models, technologies and products, and that these could yield a greater economic and social contribution to the region than the BaU trajectories.
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Bao, Jieyi, Xiaoqiang Hu, Cheng Peng, Yi Jiang, Shuo Li, and Tommy Nantung. Truck Traffic and Load Spectra of Indiana Roadways for the Mechanistic-Empirical Pavement Design Guide. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317227.

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The Mechanistic-Empirical Pavement Design Guide (MEPDG) has been employed for pavement design by the Indiana Department of Transportation (INDOT) since 2009 and has generated efficient pavement designs with a lower cost. It has been demonstrated that the success of MEPDG implementation depends largely on a high level of accuracy associated with the information supplied as design inputs. Vehicular traffic loading is one of the key factors that may cause not only pavement structural failures, such as fatigue cracking and rutting, but also functional surface distresses, including friction and smoothness. In particular, truck load spectra play a critical role in all aspects of the pavement structure design. Inaccurate traffic information will yield an incorrect estimate of pavement thickness, which can either make the pavement fail prematurely in the case of under-designed thickness or increase construction cost in the case of over-designed thickness. The primary objective of this study was to update the traffic design input module, and thus to improve the current INDOT pavement design procedures. Efforts were made to reclassify truck traffic categories to accurately account for the specific axle load spectra on two-lane roads with low truck traffic and interstate routes with very high truck traffic. The traffic input module was updated with the most recent data to better reflect the axle load spectra for pavement design. Vehicle platoons were analyzed to better understand the truck traffic characteristics. The unclassified vehicles by traffic recording devices were examined and analyzed to identify possible causes of the inaccurate data collection. Bus traffic in the Indiana urban areas was investigated to provide additional information for highway engineers with respect to city streets as well as highway sections passing through urban areas. New equivalent single axle load (ESAL) values were determined based on the updated traffic data. In addition, a truck traffic data repository and visualization model and a TABLEAU interactive visualization dashboard model were developed for easy access, view, storage, and analysis of MEPDG related traffic data.
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Financial Stability Report - September 2015. Banco de la República, 2021. http://dx.doi.org/10.32468/rept-estab-fin.sem2.eng-2015.

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From this edition, the Financial Stability Report will have fewer pages with some changes in its structure. The purpose of this change is to present the most relevant facts of the financial system and their implications on the financial stability. This allows displaying the analysis more concisely and clearly, as it will focus on describing the evolution of the variables that have the greatest impact on the performance of the financial system, for estimating then the effect of a possible materialization of these risks on the financial health of the institutions. The changing dynamics of the risks faced by the financial system implies that the content of the Report adopts this new structure; therefore, some analyses and series that were regularly included will not necessarily be in each issue. However, the statistical annex that accompanies the publication of the Report will continue to present the series that were traditionally included, regardless of whether or not they are part of the content of the Report. In this way we expect to contribute in a more comprehensive way to the study and analysis of the stability of the Colombian financial system. Executive Summary During the first half of 2015, the main advanced economies showed a slow recovery on their growth, while emerging economies continued with their slowdown trend. Domestic demand in the United States allowed for stabilization on its average growth for the first half of the year, while other developed economies such as the United Kingdom, the euro zone, and Japan showed a more gradual recovery. On the other hand, the Chinese economy exhibited the lowest growth rate in five years, which has resulted in lower global dynamism. This has led to a fall in prices of the main export goods of some Latin American economies, especially oil, whose price has also responded to a larger global supply. The decrease in the terms of trade of the Latin American economies has had an impact on national income, domestic demand, and growth. This scenario has been reflected in increases in sovereign risk spreads, devaluations of stock indices, and depreciation of the exchange rates of most countries in the region. For Colombia, the fall in oil prices has also led to a decline in the terms of trade, resulting in pressure on the dynamics of national income. Additionally, the lower demand for exports helped to widen the current account deficit. This affected the prospects and economic growth of the country during the first half of 2015. This economic context could have an impact on the payment capacity of debtors and on the valuation of investments, affecting the soundness of the financial system. However, the results of the analysis featured in this edition of the Report show that, facing an adverse scenario, the vulnerability of the financial system in terms of solvency and liquidity is low. The analysis of the current situation of credit institutions (CI) shows that growth of the gross loan portfolio remained relatively stable, as well as the loan portfolio quality indicators, except for microcredit, which showed a decrease in these indicators. Regarding liabilities, traditional sources of funding have lost market share versus non-traditional ones (bonds, money market operations and in the interbank market), but still represent more than 70%. Moreover, the solvency indicator remained relatively stable. As for non-banking financial institutions (NBFI), the slowdown observed during the first six months of 2015 in the real annual growth of the assets total, both in the proprietary and third party position, stands out. The analysis of the main debtors of the financial system shows that indebtedness of the private corporate sector has increased in the last year, mostly driven by an increase in the debt balance with domestic and foreign financial institutions. However, the increase in this latter source of funding has been influenced by the depreciation of the Colombian peso vis-à-vis the US dollar since mid-2014. The financial indicators reflected a favorable behavior with respect to the historical average, except for the profitability indicators; although they were below the average, they have shown improvement in the last year. By economic sector, it is noted that the firms focused on farming, mining and transportation activities recorded the highest levels of risk perception by credit institutions, and the largest increases in default levels with respect to those observed in December 2014. Meanwhile, households have shown an increase in the financial burden, mainly due to growth in the consumer loan portfolio, in which the modalities of credit card, payroll deductible loan, revolving and vehicle loan are those that have reported greater increases in risk indicators. On the side of investments that could be affected by the devaluation in the portfolio of credit institutions and non-banking financial institutions (NBFI), the largest share of public debt securities, variable-yield securities and domestic private debt securities is highlighted. The value of these portfolios fell between February and August 2015, driven by the devaluation in the market of these investments throughout the year. Furthermore, the analysis of the liquidity risk indicator (LRI) shows that all intermediaries showed adequate levels and exhibit a stable behavior. Likewise, the fragility analysis of the financial system associated with the increase in the use of non-traditional funding sources does not evidence a greater exposure to liquidity risk. Stress tests assess the impact of the possible joint materialization of credit and market risks, and reveal that neither the aggregate solvency indicator, nor the liquidity risk indicator (LRI) of the system would be below the established legal limits. The entities that result more individually affected have a low share in the total assets of the credit institutions; therefore, a risk to the financial system as a whole is not observed. José Darío Uribe Governor
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