scholarly journals Breeding Values of Parental Trees, Genetic Worth of Seed Orchard Seedlots, and Yields of Improved Stocks in British Columbia

2003 ◽  
Vol 18 (2) ◽  
pp. 88-100 ◽  
Author(s):  
C.Y. Xie ◽  
A.D. Yanchuk
Keyword(s):  
British Columbia ◽  
Linear Prediction ◽  
Growth Potential ◽  
Breeding Value ◽  
Stem Volume ◽  
Genetic Quality ◽  
Breeding Values ◽  
Accuracy And Precision ◽  
Genetically Improved

Abstract This report describes the procedures that are currently used in British Columbia for predicting the breeding values of parents, estimating the genetic worth of orchard seedlots, and projecting the yields of genetically improved stocks. Breeding value is a measure of the genetic quality of an individual as a parent. There are several procedures available for its estimation/prediction. Among those, the best linear prediction (BLP) relaxes most of the assumptions required by the others and minimizes the error variance of prediction. In most situations in British Columbia, it should provide predictions with satisfactory accuracy and precision with greatly reduced computational complexity. In this province, breeding value for growth potential is expressed as percent gain of stem volume over the unimproved population at a designated rotation age.Genetic worth is an important attribute of the genetic quality of a seedlot. It represents the average level of genetic gain expected for the trait of concern at a designated rotation age when a seedlot is used for reforestation. Currently, the genetic worth of a seedlot is estimated by the mean breeding value of all the parents, including those that contribute to pollen contamination and supplemental mass pollination, weighted by their proportional gamete contributionsThe yield of a genetically improved plantation is projected by incorporating the genetic worth of the seedlot into the existing growth model developed based on extensive data from managed unimproved stands. The current approach not only takes account of the stand dynamics determined by site conditions and silvicultural regimes but also the declining nature of expected gain over time because of imperfect age-age genetic correlation.Because of errors from genetic and environmental sampling, measurement, and analysis, as well as possible violation of model assumptions, estimates/predictions may still be subject to errors and/or biases. Various conservative measures have been taken to minimize any possible upwards biases. As more matured data and advanced analytical technologies become available, both the accuracy and precision will be improved. The advancement made in the procedures described in this document should contribute to superior decisions in many aspects of forest management. West. J. Appl. For. 18(2):88–100.

Genetic improvement programs for aquaculture species

2003 ◽  
Vol 2003 ◽  
pp. 225-225
Author(s):  
B. Gjerde ◽  
B. Villanueva
Keyword(s):  
Genetic Improvement ◽  
Human Population ◽  
Feeding Practices ◽  
Food Crops ◽  
Genetic Quality ◽  
Genetically Improved ◽  
Improvement Programs ◽  
High Yields ◽  
Aquaculture Production

The high yields obtained in agriculture rely heavily on the use of domesticated and genetically improved breeds and varieties. Until quite recently this has not been the case for most farmed aquaculture species that, in the genetic sense, are still much closer to the wild state than are the major terrestrial animals and food crops. Less than 10 % of the total world aquaculture production is based on improved strains. Due to a growing human population and a decline in production from capture fisheries, there is therefore a great disparity between the need for increased aquaculture production and the genetic quality of the strains available to meet that need. Moreover, full benefits of investments in management improvements (feed and feeding practices, control of diseases, etc.) can only be obtained through the use of genetically improved animals.

Stratified sublining: a new option for structuring breeding populations

2000 ◽  
Vol 30 (4) ◽  
pp. 596-604 ◽  
Author(s):  
Seppo Ruotsalainen ◽  
Dag Lindgren
Keyword(s):  
Genetic Gain ◽  
Breeding Population ◽  
Random Allocation ◽  
Genetic Quality ◽  
Seed Orchards ◽  
Breeding Values ◽  
Breeding Populations ◽  
Genetic Value ◽  
Interesting Alternative

When structuring a breeding population into sublines, the conventional approach is to assign parents to sublines randomly, so that each subline has approximately the same genetic value. By using deterministic infinitesimal model we study an alternative, stratified sublining system, where sublines are initially formed by positive assortative grouping of parents according to their breeding values. Stratified and random allocation to sublines are compared by evaluating the genetic quality of the seed orchards that each approach can provide. The seed orchards were established by selecting first the best individual from each subline and then a given best proportion from them. The greater among-subline variance in stratified sublining led to higher genetic gain in resulting seed orchards than did random sublining. For the case studied, stratified sublining gave considerably more genetic gain than random sublining, over 15% more, making it an interesting alternative that deserves further consideration and study.

Pengaruh Kompetensi Coder terhadap Keakuratan dan Ketepatan Pengkodean Menggunakan ICD 10 di Rumah Sakit X Pekanbaru Tahun 2016

2018 ◽  
Vol 1 (1) ◽  
pp. 31-43
Author(s):  
Nur Maimun ◽  
Jihan Natassa ◽  
Wen Via Trisna ◽  
Yeye Supriatin
Keyword(s):  
Medical Record ◽  
Human Error ◽  
Medical Personnel ◽  
Quality Of Data ◽  
Accuracy And Precision ◽  
Result Show ◽  
Study Implementation ◽  
Icd 10 ◽  
The Cost

The accuracy in administering the diagnosis code was the important matter for medical recorder, quality of data was the most important thing for health information management of medical recorder. This study aims to know the coder competency for accuracy and precision of using ICD 10 at X Hospital in Pekanbaru. This study was a qualitative method with case study implementation from five informan. The result show that medical personnel (doctor) have never received a training about coding, doctors writing that hard and difficult to read, failure for making diagnoses code or procedures, doctor used an usual abbreviations that are not standard, theres still an officer who are not understand about the nomenclature and mastering anatomy phatology, facilities and infrastructure were supported for accuracy and precision of the existing code. The errors of coding always happen because there is a human error. The accuracy and precision in coding very influence against the cost of INA CBGs, medical and the committee did most of the work in the case of severity level III, while medical record had a role in monitoring or evaluation of coding implementation. If there are resumes that is not clearly case mix team check file needed medical record the result the diagnoses or coding for conformity. Keywords: coder competency, accuracy and precision of coding, ICD 10

scholarly journals Evaluating Alternative Flight Plans in Thermal Drone Wildlife Surveys—Simulation Study

2021 ◽  
Vol 13 (6) ◽  
pp. 1102
Author(s):  
Julia Witczuk ◽  
Stanisław Pagacz
Keyword(s):  
Computer Simulations ◽  
Survey Design ◽  
Distance Sampling ◽  
Line Of Sight ◽  
Density Estimates ◽  
Accuracy And Precision ◽  
Survey Costs ◽  
Random Survey ◽  
Density Population

The rapidly developing technology of unmanned aerial vehicles (drones) extends to the availability of aerial surveys for wildlife research and management. However, regulations limiting drone operations to visual line of sight (VLOS) seriously affect the design of surveys, as flight paths must be concentrated within small sampling blocks. Such a design is inferior to spatially unrestricted randomized designs available if operations beyond visual line of sight (BVLOS) are allowed. We used computer simulations to assess whether the VLOS rule affects the accuracy and precision of wildlife density estimates derived from drone collected data. We tested two alternative flight plans (VLOS vs. BVLOS) in simulated surveys of low-, medium- and high-density populations of a hypothetical ungulate species with three levels of effort (one to three repetitions). The population density was estimated using the ratio estimate and distance sampling method. The observed differences in the accuracy and precision of estimates from the VLOS and BVLOS surveys were relatively small and negligible. Only in the case of the low-density population (2 ind./100 ha) surveyed once was the VLOS design inferior to BVLOS, delivering biased and less precise estimates. These results show that while the VLOS regulations complicate survey logistics and interfere with random survey design, the quality of derived estimates does not have to be compromised. We advise testing alternative survey variants with the aid of computer simulations to achieve reliable estimates while minimizing survey costs.

scholarly journals A note on genetic parameters and accuracy of estimated breeding values in honey bees

2019 ◽  
Vol 51 (1) ◽  
Author(s):  
Evert W. Brascamp ◽  
Piter Bijma
Keyword(s):  
Honey Bees ◽  
Variance Components ◽  
Genetic Parameters ◽  
Additive Genetic Variance ◽  
Breeding Value ◽  
Phenotypic Variance ◽  
Breeding Values ◽  
Estimated Breeding Values ◽  
Additive Genetic Relationship ◽  
The Relationship

Abstract Background In honey bees, observations are usually made on colonies. The phenotype of a colony is affected by the average breeding value for the worker effect of the thousands of workers in the colony (the worker group) and by the breeding value for the queen effect of the queen of the colony. Because the worker group consists of multiple individuals, interpretation of the variance components and heritabilities of phenotypes observed on the colony and of the accuracy of selection is not straightforward. The additive genetic variance among worker groups depends on the additive genetic relationship between the drone-producing queens (DPQ) that produce the drones that mate with the queen. Results Here, we clarify how the relatedness between DPQ affects phenotypic variance, heritability and accuracy of the estimated breeding values of replacement queens. Second, we use simulation to investigate the effect of assumptions about the relatedness between DPQ in the base population on estimates of genetic parameters. Relatedness between DPQ in the base generation may differ considerably between populations because of their history. Conclusions Our results show that estimates of (co)variance components and derived genetic parameters were seriously biased (25% too high or too low) when assumptions on the relationship between DPQ in the statistical analysis did not agree with reality.

Statistical analysis of nematode counts from interlaboratory proficiency tests

Nematology ◽  
2014 ◽  
Vol 16 (2) ◽  
pp. 229-243 ◽  
Author(s):  
Wim Van Den Berg ◽  
Olaf Hartsema ◽  
Loes J.M.F. Den Nijs
Keyword(s):  
Statistical Analysis ◽  
Proficiency Test ◽  
Meta Analysis ◽  
Proficiency Tests ◽  
Free Living ◽  
Accuracy And Precision ◽  
Mean And Variance ◽  
The Mean ◽  
Interaction Variance

A series of proficiency tests on potato cyst nematode (PCN; ) and free-living stages of Meloidogyne and Pratylenchus () were investigated to determine the accuracy and precision of the nematode counts and to gain insights into possible trends and potential improvements. In each test, each participating laboratory received ten samples of soil collected from naturally infested fields and well mixed before distribution. The variance between the counts from the ten samples, estimated per test and laboratory, was constant for PCN cysts and free-living stages of Meloidogyne spp. and Pratylenchus spp. during the period monitored. However, during the initial years, the variance between the samples showed a downward trend for PCN living juveniles. The variance between the laboratories, estimated per test, was constant for PCN cysts over the period 1994-2010. For PCN living juveniles the variance between laboratory means declined from 1994-2000 and from 2000 it was more or less constant, which coincided with the introduction of a well-described new methodology. For Meloidogyne spp. and Pratylenchus spp., from 1998-2005 the variance between laboratory means was more or less constant or increased. From 2006, all participating laboratories incubated the organic matter and the variance between the laboratories was stable and below the levels observed during 2003-2005. After discarding data from initial years with unstable variances of the nematode counts, a meta-analysis was carried out on the remaining data using HGLMs to model the mean and variance of the counts simultaneously. The within-laboratory variance for the ten samples and the interaction variance of test and laboratory were estimated and combined to percentage coefficient of variation (%CV) per laboratory. For PCN cysts, %CV per laboratory ranged from 12.6 to 41.6 and for PCN juveniles in sandy soil from 24.4 to 67.4 and in loamy soil from 37.9 to 102.0. For Meloidogyne spp., %CV ranged from 53.2 to 84.4 and for Pratylenchus spp. from 24.3 to 90.6. The quality of a proficiency test is largely defined by random distribution of the nematodes over the samples allocated, statistical analysis of the data and communication of the results to participating laboratories. This study provides insights into the accuracy and precision at laboratories in recent years and the effect of concerted actions during the period in which the proficiency tests were conducted.

scholarly journals Investigation of the Effects of Surrounding Media on the Distributed Acoustic Sensing of Helically-Wound Fiber-Optic Cable with Application to the New Afton Deposit, British Columbia

2020 ◽  
Author(s):  
Sepidehalsadat Hendi ◽  
Mostafa Gorjian ◽  
Gilles Bellefleur ◽  
Christopher D. Hawkes ◽  
Don White
Keyword(s):  
British Columbia ◽  
Numerical Modeling ◽  
Analytical Model ◽  
Field Data ◽  
Fiber Optic ◽  
Incident Angle ◽  
Acoustic Sensing ◽  
Distributed Acoustic Sensing ◽  
Straight Fiber

Abstract. Fiber optic sensing technology has recently become popular for oil and gas, mining, geotechnical engineering, and hydrogeology applications. With a successful track record in many applications, distributed acoustic sensing using straight fiber optic cables has become a method of choice for seismic studies. However, distributed acoustic sensing using straight fiber optic cables is not able to detect off-axial strain, hence a helically wound cable design was introduced to overcome this limitation. The helically wound cable field data in New Afton deposit showed that the quality of the data is tightly dependent on the incident angle (the angle between the ray and normal vector of the surface) and surrounding media. We introduce a new analytical two-dimensional approach to determine the dynamic strain of a helically wound cable in terms of incident angle in response to elastic plane waves propagating through multilayered media. The method can be used to quickly and efficiently assess the effects of various materials surrounding a helically wound cable. Results from the proposed analytical model are compared with results from numerical modeling obtained with COMSOL Multiphysics, for scenarios corresponding to a real installation of helically wound cable deployed underground at the New Afton mine in British Columbia, Canada. Results from the analytical model are consistent with numerical modeling results. Our modeling results demonstrate the effects of cement quality, and casing installment on the quality of the helically-wound cable response. Numerical modeling results and field data suggest that, even if reasonably effective coupling achieved, the soft nature of the rocks in these intervals would result in low fiber strains for the HWC. The proposed numerical modeling workflow would be applied for more complicated scenarios (e.g., non-linear material constitutive behaviour, and the effects of pore fluids). The results of this paper can be used as a guideline for analyzing the effect of surrounding media and incident angle on the response of helically wound cable, optimizing the installation of helically wound cable in various conditions, and to validate boundary conditions of 3-D numerical model built for analyzing complex scenarios.

scholarly journals COMPREHENSIVE ASSESSMENT OF FARMING RAMS BREEDING VALUE RELATED TO DIFFERENT GENOTYPES

2020 ◽  
pp. 137-148
Author(s):  
Ivan Pomitun ◽  
Nadezhda Kosova ◽  
Igor Korkh ◽  
Lubov Pankiv ◽  
Natalia Boyko ◽  
...  
Keyword(s):  
Live Weight ◽  
Breeding Value ◽  
Daily Growth ◽  
Reproductive Ability ◽  
Individual Traits ◽  
Wide Range ◽  
Productivity Indicators ◽  
Meat Productivity ◽  
Breed Sheep

The results of evaluating the breeding value of rams of different genotypes by a wide range of productivity indicators of their descendants are presented. Tribal rams of the Kharkov interbreed type of Prekos breed of 2-3 years of age, as well as crosses from the introductory crossing of Prekos sheep with the Romanov breed and Merinolandsheep, were evaluated. The resulting offspring were grown under the conditions of one production flock. The evaluation considered the indicators of the reproductive ability of ewes, sex and type of birth of the offspring, the safety of lambs from birth to 20 days of age, the dynamics of the average daily growth of daughters in the uterus and at the age of birth to 20 days and from 21 to 90 days, live weight indicators were considered, cutting and length of hair of daughters at the age of 14 months. Studies have established that the average yield of lambs throughout the sample was 115.3 % per 100 ewes, with significant differences between the estimated producers - from 105.1 to 131.3 %. This indicator did not have a definite relationship with the genotype of the estimated sheep. Among the offspring of all rams, males slightly prevail over females in the ratio of 1.09 to 1. This advantage is due to the large number of rams born among same-sex twins. Their part exceeded 28 %, while only 23.4 % turned out to be similar in type of birth. By the sum of the ranks that were put to individual sheep for the indicators of the average daily growth of daughters at different periods of their growth, the best cross-breed sheep No. 1625 and No. 9953 are distinguished. On the whole, there is a fairly clear tendency for a positive relationship between the ranks for the growth rate in the embryonic period and the same indicator for posterity aged 21-90 days. According to both the ranking and the probity-based evaluation results, ram No. 1625 (a created line based on crossing with the Romanov breed) is assigned to complex improvers. The rest topping ram out to be improvers of individual traits, and the producer of the breed Prekos No. 1823 was an improvement in production of wool and length of staple. Ram No. 1960 turned out to be a complex deteriorator in the quality of offspring. The descendants of rams No. 4464 and 9953, derived from the breed of Merino landscape, reliably (p≤0.01), by 18.6-20.8 % in terms of wool coefficients, are inferior to the daughters of ram No. 1823, breed Prekos, which is an unconditional evidence of the strengthening of their characters meat productivity over wool one.

scholarly journals Evaluation of breeding bulls based on quality of offspring considering crossing options

2021 ◽  
Vol 59 (4) ◽  
pp. 452-463
Author(s):  
M. V. Abramova ◽  
S. V. Zyryanova
Keyword(s):  
High Reliability ◽  
Breeding Value ◽  
Milk Productivity ◽  
Cattle Breeding ◽  
Breeding Programs ◽  
Holstein Breed ◽  
Genetic Potential ◽  
Dairy Cattle Breeding ◽  
Holstein Bulls

Breeding takes the main place in the complex of measures for intensification of dairy cattle breeding. A characteristic feature of breeding work is identification of the most valuable genotypes and their further use in cattle population. The Holstein breed is considered one of the most highly productive breeds, in many countries of the world it is used for the genetic improvement of local breeds. In this regard, a comparative assessment of methods for determining the breeding value of bulls of different genotypes obtained by interbreeding is relevant. The results of assessment of genetic superiority of the used breeding bulls in terms of milk productivity of daughters for the first lactation through interannual deviations of the homogeneous peers are presented, the best producers in all the studied herds are identified, it is established which breeds the best and worst breeding bulls belong to. The research revealed that 18% of bulls had genetic superiority at controlled farms (9% - Holstein breed, 6% - Yaroslavl crossbreeding bulls, 3% - Mikhailovsky type’s bulls), a negative value - 24% including 9% - Yaroslavl crossbreeding bulls, 9% - Mikhailovsky type’s bulls and 6% - Holstein bulls. A comparative evaluation of the two methods showed a high reliable positive correlation between results of Mikhailovsky type bulls and Yaroslavl crossbreeding bulls equal to 0.82 and 0.56, respectively, which indicates a high reliability of the method of genetic superiority index, which can be used to evaluate bulls during crossbreeding. It is possible to increase the genetic potential of herds by excluding producers with a negative genetic index. The obtained results are recommended to be used when mating bulls and for development of breeding programs for individual herds or entire population

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