CPSIM is a handy application specially designed to help you with the simulation of genetic maps and markers in cross pollinated crops.
The simulation is flexible and you can deal with cross pollination of a given percentage between the two parents in your analysis. The application can then create a map file, which can be used directly with QTL-Marker programs to generate marker maps.
You may also save the map file to be later used with other QTL-Marker programs.
A very handy feature of CPSIM is that you can view existing map files. The main screen is divided up into two sections; a Markers section, where you can see the marker positions and the allelic status of each marker, and a simulation section, where you can simulate new cross pollination percentages. When you are satisfied with your simulation, you can save the map file to a file on your hard disk.
Key Features:
• Support for any type of cross pollination percentage between the two parents in a cross pollinated crop (ab x ab, ab x ab + ab x ab × ab,…).
• Generate maps of any size, using an automatic process.
• Simulate marker allelic effects in a cross pollinated crop (linkage function).
• Simulate marker allelic effects in a cross pollinated crop for a random cross pollination percentage (unlinked marker analysis).
• Easy to use, well organized interface.
• Easily generate map files.
• New map construction tool, that can be handy to quickly create a map file from scratch, or use the existing file created with an older version of the software.
• Test information (including PValue and LOD) is visible in the marker list.
• The simulation section can be filtered, so that you can limit your simulation to a certain range of cross pollination percentages (e.g. 0 to 20, 20 to 40,…).
• Can create an EPS file.
• Map export is made easy by a Save to file, Text, PPS, ILW, FASTA or XLS option.
• View existing maps in the map section.
CPSIM Windows Requirements:
• Running Win95, Win98, Win NT, Win 2000, Win ME or Win2000.
• Running with at least 3 GB of free hard disk space.
• The Microsoft Visual C++ Redistributable, 4.0 Edition is already installed.
• The Microsoft Visual C++
CPSIM Crack (Cross-pollination simulation application) is a handy, easy to use application specially designed to help you with the simulation of genetic maps and markers in cross pollinated crops.
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This is the first attempt to calculate the genomic regions important for quantitative inheritance. It is based on the method of reproductive inequality and the program is executed in home PC. It is free to use.
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A database management system in the style of Oracle, with particular emphasis on relational database design and performance
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CPSIM is a handy, easy to use application specially designed to help you with the simulation of genetic maps and markers in cross pollinated crops.
You can enter 20 values for each locus in 20 different populations.
You can enter values of allele frequencies for each cross
This tool creates a.txt output file from which the user can import the data into any standard progam/software package.
The program has a wizard driven interface and is entirely parameterisable
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Simulate Home Tree Inventories from Different Seasons
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CPSIM (Cross Pollinated Sim) is a handy, easy to use application specially designed to help you with the simulation of genetic maps and markers in cross pollinated crops.
Usage is simple: enter the length, the Nloc and the percentage of acas in x.
As you can see, you just need to enter percentages, both at loci and at cross-over positions and the program will then automatically calculate the number of recombinants.
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10/19/11 17:34
FANTASY, PRACTICE AND EXPERIENCE: THE PERFECT MATCH
FANTASY, PRACTICE AND EXPERIENCE: THE PERFECT MATCH
The situation: the plant breeder’s profession is still bedeviled by the old debate: is it better to learn by ‘practising’ or by ‘theory’? Students of agricultural sciences in general and plant scientists in particular are still looking for an answer to this question. For plant breeders like me it is still very hard to look at practical issues in a scientific way. I am not alone in this opinion. I cannot recall a single presentation on crop production in my classes, which dealt with practice-relevant issues rather than with theory. Therefore, plant breeders often have no practical experience and therefore can be clueless when it comes to problems such as the origin of further development of the genetic variations, when to declare end of plant breeding, what your own technological resources are or the impact of technology on crop production. Plant breeders see the emergence of new varieties in stages:
1. Start of the research: the raw material for the result is a plant variety which is often highly heterozygous. The plant is evaluated in a model-assay.
2. The ‘first result’ from the method starts to appear. It could be an improved new variety and as long as it is not registered, it is not protected by patent. One sign of success is the number of registered varieties that are later on found to be not fit for purpose (e.g. due to pest resistance or other not successful traits).
3. If this first result was not found satisfactory, it is either found in a conventional plant breeding programme or by’seeding with technology’.
4. If this was not satisfactory in any way, it is cultivated in the field under ‘field conditions’. This stage is called’screen
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Minimum Specs:
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