Physical Sciences and Mathematics Commons^™

Raster Map For Prediction Of Heading Date Of Timothy By Nonparametric Dvr Method, T Saigusa, K Nakashima, N Noshiro, M Tsutsumi

IGC Proceedings (1997-2023)

A system for making a raster map for predicting the heading date of timothy (Phleum pratense L.) at first cutting for every 1km2 plot was developed to supply information for smooth harvest of forage of good quality in a dairy farming area of Hokkaido. Daily mean air temperature for every 1km2 plot was estimated with data from a network of meteorological observatories and data base of the Japan Meteorological Agency. Day length could be calculated from latitude and calendar day. Using these two environmental factors, heading date of timothy at first cutting for each area was predicted by nonparametric DVR …

Ruminal Fill Effect Of Forages: Prediction And Relationship With Voluntary Intake, R Baumont, A Barlet, J Jamot

IGC Proceedings (1997-2023)

Voluntary dry matter intake (VDMI) and rumen fill were measured on sheep fed with 18 forages ranging from wheat straw to lucerne hay. In vivo fill effect (IVFE i.e. rumen DM pool divided by VDMI), in situ degradability, cell-wall composition, pepsin-cellulase digestibility and in vitro gas production were determined. In situ estimated fill effect (ISFE) was calculated as the retention time of insoluble potential degradable and undegradable fractions using a constant rate of passage. ISFE and IVFE were highly correlated (r2=0.89) but ISFE values were lower than IVFE values because in situ degradability does not integrate comminution time of …

Effects On Intake Of Supplementing Low-Quality Roughage With Protein-Rich Feeds, J.J. M.H. Ketelaars, G A. Kaasschieter, M Kane

IGC Proceedings (1997-2023)

Intake responses of ruminants to supplementation with protein-rich concentrates or legume hays have been related to the ratio of nitrogen (N) content and organic matter digestibility (OMD) of the basal feed. Marginal intake effect of supplements, i.e. change of organic matter intake (OMI) from the basal feed per unit OMI from supplement, decreased on average from 1.7 to 0 and -0.8 g. g-1 at N/OMD of 0.010, 0.016 and > 0.030 g. g-1, respectively. Marginal effect of supplements defined as change of total digestible organic matter intake (DOMI) per g DOMI from supplement was 2.5, 1 and 0.3 g. g-1 for …

A Simple Vegetation Criterion (Ndf Content) May Account For Diet Choices Of Cattle Between Forages Varying In Maturity Stage And Physical Accessibility, Cécile Ginane, R. Baumont

IGC Proceedings (1997-2023)

The management of extensively grazed pastures requires an understanding and prediction of the diet choices of herbivores grazing on vegetation that is qualitatively (maturity stage) and quantitatively (biomass, sward height) heterogeneous. The Optimal Foraging Theory (OFT, Stephens & Krebs, 1986), bases its predictions on the relative energy intake rate (EIR) of forages. However, as EIRs are difficult to assess at pasture and are subject to wide intra- and inter-individual variations, another vegetation criterion was sought (accessibility, quality), by-passing the animal's influence, to predict cattle diet choices quantitatively.

A Simple Vegetation Criterion (Ndf Content) May Account For Diet Choices Of Cattle Between Forages Varying In Maturity Stage And Physical Accessibility, Cécile Ginane, R. Baumont

IGC Proceedings (1997-2023)

The management of extensively grazed pastures requires an understanding and prediction of the diet choices of herbivores grazing on vegetation that is qualitatively (maturity stage) and quantitatively (biomass, sward height) heterogeneous. The Optimal Foraging Theory (OFT, Stephens & Krebs, 1986), bases its predictions on the relative energy intake rate (EIR) of forages. However, as EIRs are difficult to assess at pasture and are subject to wide intra- and inter-individual variations, another vegetation criterion was sought (accessibility, quality), by-passing the animal's influence, to predict cattle diet choices quantitatively.

Estimation Of Organic Matter Digestibility And Intake From Faecal Organic Matter And Daily N Excretion And Concentration, C. M. Ferri, N. P. Stritzler, M. A. Brizuela

IGC Proceedings (1997-2023)

This study was performed with grazing sheep, to establish: a) if the amount of total faecal N (C; in g 100g^-1 of organic matter intake (OMI)) remains constant at three feeding levels, in four utilisation periods of deferred Panicum coloratum cv. Verde; b) the relationship between C and faecal N fractions, and c) the relationship between faecal daily excretion of OM and N, and OMI. Intake increased (P< 0.01) with utilisation period, and was related (r = - 0.82; P< 0.01) to the protein content of food, the insoluble N fraction (r = -0.49; P< 0.01) and the soluble:insoluble N ratio (r = 0.41; P< 0.01) in faeces. No relation with total N concentration (r = -0.22; P> 0.05) or soluble N fraction (r = -0.02; P> 0.05) in faeces could be found. Daily excretion of OM and N were positively related (R² = 0.93 and 0.96, respectively; …

Chlorophyll Concentration (Spad Values) As An Indicator Of Crude Protein Content And As A Selection Criterion In Grass Breeding, N. Gáborèík

IGC Proceedings (1997-2023)

The main aim of the study was to analyse chlorophyll a + b content (SPAD values) determined by portable chlorophyllmeter (SPAD- 502, Minolta, Japan) and crude protein content in leaves of timothy, coocksfoot, perennial ryegrass and meadow fescue (total 24 cultivars). Differences between both parameters were confirmed and a close relationship between chlorophyll content (SPAD values) and crude protein concentration was found. Correlation coefficient between SPAD and crude protein varied from 0.541⁺⁺ for ryegrass to 0.906⁺⁺ for timothy. This fact should be used for selection of grasses with higher crude protein content and/or better use of mineral soil …

Studies On The Techniques Of Continuing Control Of Rodent Pests On Grassland, Yuping Yang, Weihui Dong, Liqing Wang

IGC Proceedings (1997-2023)

No abstract provided.

Deepnec: A Novel Alignment-Free Tool For The Characterization Of Nitrification-Related Enzymes Using Deep Learning, A Step Towards Comprehensive Understanding Of The Nitrogen Cycle, Naveen Duhan

Student Research Symposium

Abstract: Nitrification is an important microbial two-step transformation in the global nitrogen cycle, as it is the only natural process that produces nitrate within a system. The functional annotation of nitrification-related enzymes has a broad range of applications in metagenomics, agriculture, industrial biotechnology, etc. The time and resources needed for determining the function of enzymes experimentally are restrictively costly. Therefore, an accurate genome-scale computational prediction of the nitrification-related enzymes has become much more important.In this study, we developed an alignment-free computational approach to determine the nitrification-related enzymes from the sequence itself. We propose deepNEC, a novel end-to-end feature selection and …

Grassland Production Under Various Meteorological Conditions In Xilingol, Inner Mongolia, China, Ruhan Yi, Masae Shiyomi, Likun Ai

IGC Proceedings (1997-2023)

No abstract provided.

Identifying Opportunities For Improved Adoption Of New Grazing Innovations, Geoff Kuehne, Rick Llewellyn, Pannell Pannell, Perry Dolling, Roger Wilkinson, Mike Ewing

IGC Proceedings (1997-2023)

Those aiming for high levels of adoption of grazing-related innovation are often frustrated at low and slow uptake by farmers. This paper describes a new tool, ADOPT (Adoption and Diffusion Outcome Prediction Tool), that can be used to evaluate the potential adoptability of grazing innovations (Kuehne et al. 2012). ADOPT aims to: (1) predict an innovation’s likely peak level of adoption and likely time for reaching that peak; (2) encourage users to consider factors affecting adoption during project design; and (3) engage R, D & E managers and practitioners by making adoptability knowledge and considerations more transparent and understandable.

Optimal Strategy For Gambling Pools, Aaron C. Brown

International Conference on Gambling & Risk Taking

In gambling pools, entrants submit predictions and the prizes are awarded to the prediction or predictions closest to actual outcomes. Some well-known examples are football pools (both the global and American game versions), toto, NCAA March Madness bracket pools and horse racing tournaments. For small pools with complete information about outcome probabilities, exact game theory optimal solutions are straightforward to compute. If there is also complete information about the number and strategy of other players, optimal exploitive strategies are even easier to derive. These problems have been treated in the literature.

This paper argues that the complete information approaches are …

Well I'Ll Be Damned - Insights Into Predictive Value Of Pedigree Information In Horse Racing, Timothy Baker Mr, Ming-Chien Sung, Johnnie Johnson Professor, Tiejun Ma

International Conference on Gambling & Risk Taking

Fundamental form characteristics like how fast a horse ran at its last start, are widely used to help predict the outcome of horse racing events. The exception being in races where horses haven’t previously competed, such as Maiden races, where there is little or no publicly available past performance information. In these types of events bettors need only consider a simplified suite of factors however this is offset by a higher level of uncertainty. This paper examines the inherent information content embedded within a horse’s ancestry and the extent to which this information is discounted in the United Kingdom bookmaker …

Ann In Financial Prediction, Roneda Mucaj, Alketa Hyso

UBT International Conference

This paper focuses on the treatment of intelligent systems and their application in the financial area. Types of intelligent systems are numerous, but we will focus on those systems, which based on their ability to learn, are able to predict. The concept of inductive reasoning, how these systems learn and reason inductively, the role and their integration in financial services are some of the concepts that will be addressed. The second and the main part focuses on the application developed in the design of an artificial neural network for financial forecasts. Recognizing the need for better predictive models, not just …

Application And Comparison Of Three Spatial Statistical Methods For Mapping And Analyzing Soil Erodibility, George Gertner, Guangxing Wang, Pablo Parysow, Alan Anderson

Conference on Applied Statistics in Agriculture

The Revised Universal Soil Loss Equation (RUSLE) is a model to predict longtime average annual soil loss, related to rainfall-runoff, soil erodibility, slope length and steepness, cover management, and support practice. The soil erodibility factor K accounts for the influence of soil properties on soil loss during storm events in upland areas.

In this paper, ordinary kriging, sequential Gaussian and indicator simulation methods were used and compared for spatial prediction and uncertainty analysis of soil erodibility based on a data set from a very intensive soil survey (524 observations, 10 m by 10 m grid). Half the data was used …