PAG 2015 - Breeding View: Statistical analyses in the Breeding Management System - Dr Mark Sawkins
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Dr Mark Sawkins, IBP Support Manager, gave a demo presentation of Breeding View, a simple graphical interface to conduct statistical analysis of phenotypic and genotypic data. It can access procedures in Genstat or R-scripts, allows analyses to be configured, and is fully integrated into the IBP Breeding Management System (BMS).
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3) Genetic mapping of resistance genes is underway using biparental crosses to elucidate the genetics of resistance and map genes from tetraploid sources.
Yield losses dou to wheat rusts and powdery
Rust diseases of wheat and powdery mildew can cause significant yield losses depending on severity and timing of infection, resulting in reduced yields. Estimates from 1918 to present show yield losses to cereals from rust maintained by the USDA. Wheat stripe rust in CWANA caused over 70% losses in 2010, and leaf rust is known to cause over 50% losses in severe epidemics. In Australia, stem rust caused up to 37% losses in 1992.
Data management, Analysis, and Sharing
This document discusses data management strategies at CGIAR Research Program on Dryland Systems. It notes that data from experiments is often stored in files but not shared, resulting in low usage. The strategy presented involves curating data and making it accessible online through an open source dataverse network. This allows data to be shared, accessed by all as a public good, and ensures high standards for data quality, curation and access. Examples shown include agricultural data from various projects displayed and available for download through interactive tables, maps and charts.
Status of Wheat Stripe in CWANA: Analysis of Current Outbreaks
This document discusses the status of wheat stripe rust in the Central and West Asia/North Africa region. Some key points:
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- Virulent races like Yr27 have caused recent outbreaks, overcoming resistance in previously grown varieties. This has spread the disease across multiple countries.
- Factors like climate conditions, shared wheat varieties, and wind patterns allow the disease to spread easily between countries in the region. Addressing this transboundary issue requires increased cooperation.
- Challenges include improving disease surveillance, sharing information, developing durable resistance in new varieties, and
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This document discusses how epidemiological models can add value to plant disease surveillance efforts. It provides examples of how models have been used to predict the arrival and spread of pathogens like wheat rusts and ash dieback. Specific ways models have helped include generating risk maps showing where invasion is most likely and hazard maps showing where impact would be most severe. The models integrate data on host distribution, environmental conditions, and dispersal patterns. They can inform early warning systems and optimize sampling strategies. Partnerships between researchers and surveillance networks are important for providing the data needed to build accurate models.Zafer mert i̇zmir 2. strşpe rust
- Wheat is a staple crop in Turkey, accounting for 60% of annual crop production. Winter wheat makes up 75% of wheat production area.
- Stripe rust has historically caused significant losses and epidemics in Turkey since the 1990s. A new race of stripe rust (Yr27 virulence) was identified in Turkey in the 2000-2003 period.
- In 2013, 20 infected stripe rust samples were collected from wheat fields across Turkey and analyzed. Race analyses identified the continued presence of the Yr27 virulence. Many important Turkish wheat varieties are susceptible to this virulence.
Generation mean analysis for Turcicum Leaf Blight in Ugandan Sorghum
Presentation by Mayada M.Beshir, Abdelbagi M. Ali and P. Okori at the Biennial Conference 2012
Biometry and trends in Agricultural Research: Some Challenges and Opportuniti...
Biometry and trends in Agricultural Research: Some Challenges and Opportuniti...International Institute of Tropical Agriculture
This document discusses the challenges and opportunities in biometry and trends in agricultural research at the Ethiopian Institute of Agricultural Research (EIAR). It outlines the major themes of EIAR's biometrics program, including addressing issues like spatial modeling and analysis of multi-level experiments. It also describes the diversity of methodologies used, developments in biometry, integration with information technology, training workshops, and the contributions of biometric support over the years.Yellow rust status pakistan
1) Wheat is the largest crop in Pakistan's agriculture and economy, with production increasing over 500% since 1948. Wheat losses to diseases like rusts cost billions annually.
2) The Crop Diseases Research Institute was established in the 1950s to research rust diseases of wheat and barley, building on the pioneering work of S.F. Hassan. Norman Borlaug congratulated Pakistan on the new research station's potential to solve cereal problems.
3) Recent wheat varieties released in Pakistan like Pirsbak-2013 and Lillema-13 have shown high resistance to yellow rust in screening, but some older varieties like Galaxy-13 are ineffective against the disease. Continuous monitoring of rust pathogens remains important.
Izmir presentation
Pakistani wheat landraces were screened for resistance to yellow rust. 196 landraces were evaluated at the seedling stage with race Pstv-51, with 112 showing resistance. 708 additional landraces were screened under field conditions with race 574233, with 33 showing resistance at the seedling stage. Spatial distributions of resistant/susceptible landraces were determined. Resistance levels varied between seedling and adult stages, with some lines changing status. The study identified resistant Pakistani wheat landraces with potential for yellow rust resistance breeding.
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GRM 2011: The Integrated Breeding Platform tools and services
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Sources of Stem Rust Resistance in Cultivated and Wild Tetraploids
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This document provides an overview of the Integrated Breeding Platform (IBP) and its Breeding Management System (BMS). The BMS aims to provide breeders with a simple, integrated suite of informatics tools to facilitate breeding workflows from cross-making to variety release. It will include modules for list management, breeding logistics, nursery and trial management, phenotyping, genotyping, statistical analysis, and decision support tools. The system is being designed for use by both public and small-scale breeders in developing countries.PAG 2015 - Overview of the Breeding Management System - Dr Graham McLaren
PAG 2015 - Overview of the Breeding Management System - Dr Graham McLarenIntegrated Breeding Platform
The document describes the Integrated Breeding Platform's Breeding Management System (BMS), which provides breeders with easy-to-use informatics tools and data management capabilities. The BMS includes modules for germplasm management, nursery and trial management, data analysis and storage, and decision support tools. It aims to facilitate the adoption of molecular breeding techniques in public breeding programs through an integrated platform for managing breeding data and workflows.GRM 2014: Mark Sawkins on BMS functionalities and users
The document describes the Breeding Management System (BMS), a comprehensive suite of informatics tools developed by the International Breeding Platform (IBP) to support plant breeding programs. The BMS includes nine key components to manage breeding activities from project planning to selection decision-making. It is intended to help public breeding programs in developing countries implement integrated informatics and make better use of molecular breeding technologies. The BMS has flexible and customizable features, and provides access to genotyping services and analysis tools supported by the IBP and CGIAR.
Biomarker Strategies
Biomarker Strategy talk presented at the PRISM forum Special Interest Group: "Information Challenges in the Age of Biomarkers”, October 2009
Transforming Technology Transfer and Recipe Management: From Spreadsheets to ...
Presented by Paul Wlodarczyk at Documentation and Training Life Sciences, June 23-26, 2008 in Indianapolis.
The creation and management of formulation and control recipes is a process that is overdue for transformation. Today, most pharmaceutical companies still rely on error-prone, manual recipe-management approaches, in which master recipes are treated as static and disconnected documents. These outdated approaches lead to delays in technology transfer and introduce errors as formulations are entered into execution and quality management systems. Inefficient technology transfer, in turn, leads to delays in commercialization, waste or poor yield, compliance challenges, and risks to product quality.
Recipe standardization and management can improve every aspect of the product lifecycle, from late-stage discovery through clinical and commercial manufacturing. As pharmaceutical companies increasingly implement Quality by Design principles, recipe standardization will ensure that critical process parameters and their ranges are documented in a uniform fashion, from the earliest phases of process development and then managed effectively through all stages of manufacturing.
This slide deck explores new approaches for standardizing recipe management to mitigate risk and accelerate time to market. You will see case studies and be provided with a framework for understanding how to migrate to standards-based recipe-management practices.
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MONITORINGZ is a multiuser server-client application designed for input, storage and processing of sampling results for microbial cleanliness and number of airborne particles in clean production areas, usually called “environmental monitoring”.
Process Definition Management using ISA-88 and BatchML
The document discusses process definition management in the life sciences industry. It outlines challenges around authoring process definitions, documenting parameters, technology transfer, and knowledge management. It proposes using a purpose-built editor with ISA-88 and BatchML standards to address these issues by enabling recipes and components to be authored, visualized, and reused throughout the product lifecycle. This would standardize representations, improve collaboration and technology transfer, and ultimately accelerate time-to-market.
GRM 2013: Genome-Wide Selection Update -- RK Varshney and A Rathore
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- ISMU 1.0 and 2.0 are pipelines for genome-wide selection that allow for automated SNP detection, genotyping, and genomic selection in plant breeding.
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Watch this webinar here: https://bit.ly/2ZpV3GU
Biopharmaceutical processes are complex and highly variable in nature. This can result in inconsistent and unpredictable process outcomes. To manage complexity and better understand causes of variability, in-depth knowledge and thorough understanding of the process is critical. Bio4C™ ProcessPad provides the data integration, analysis and sharing across the manufacturing network and end-to-end data management throughout the process lifecycle required for continued process verification, reporting, and analytics.
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In this webinar, you will learn:
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Presentation on spss
The document discusses statistical analysis packages including SPSS. It provides an overview of SPSS, describing it as a statistical analysis and data management software package that can perform various analyses and generate reports. The document outlines some key features of SPSS, such as its ease of use, data management and editing tools, and statistical and visualization capabilities. It also briefly describes the different windows in SPSS and how to define and manipulate data.
Report Calc for Quality Control
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Report Calc for Quality Control
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(1)Statistics in QbD Stats WS 09-06.ppt
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Batch Process Analytics
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6 bosch rexroth_eng_01
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Software Maintenance Bug Triaging
This document presents an approach to populating a release history database from version control and bug tracking systems. It combines data from CVS version control and Bugzilla bug tracking for the Mozilla project to analyze software evolution. The paper describes related work, outlines the data import process, and evaluates the approach by examining timescales, release history, and coupling for the Mozilla project. It concludes that this approach provides insights into a project's evolutionary processes but that more formal integration with version control could improve the analysis.
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Presented at the Global Pharma R&D Informatics Congress. To find out more, visit:
www.global-engage.com
Analytical data is at the heart of pharmaceutical research, yet many organisations struggle with the variety of different formats, instrument vendors, and search and retrieval of data. In this presentation, Hans de Bie from ACD/Labs discusses automated capture, exchange formats, integrity, and next generation management systems.
Eclipse Meets Systems Biology
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This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
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办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
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https://budapestdata.hu/2024/en/
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tim.spann@zilliz.com
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University of New South Wales degree offer diploma Transcript
澳洲UNSW毕业证书制作新南威尔士大学假文凭定制Q微168899991做UNSW留信网教留服认证海牙认证改UNSW成绩单GPA做UNSW假学位证假文凭高仿毕业证申请新南威尔士大学University of New South Wales degree offer diploma Transcript
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
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一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
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我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
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一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
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The Building Blocks of QuestDB, a Time Series Database
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
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ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
PAG 2015 - Breeding View: Statistical analyses in the Breeding Management System - Dr Mark Sawkins
- 1. The Breeding View: Statistical analyses in the Breeding Management System (BMS) An initiative of the CGIAR Generation Challenge Programme (GCP) Mark Sawkins Plant and Animal Genome 2015 San Diego, CA
- 2. Breeding View – what it is? Simple graphical Interface to conduct statistical analysis of phenotypic and genotypic data Can access procedures in Genstat or R-scripts and allows analyses to be configured Integrated into the IBP Breeding Management System (BMS)
- 3. The Breeding Management System is a comprehensive, all-in-one suite of tools to effectively manage your breeding activities throughout all development phases of your programs, from project planning to final decision-making:
- 4. Breeding View – Rationale for development Existing packages are complex Many features that are not relevant Steep learning curve Focus on publication ready graphics Majority of Breeders have specific, routine requirements Standard set of analyses Push lots of data quickly BV provides a choice of statistical engine (Genstat or R)
- 6. Statistical Analysis of Phenotyping Data Single site analysis is available for complete and incomplete block designs as well as row-column designs and spatial analysis. New designs are being added at each update, Analyses can be run in batches over environments and traits, Two-stage multi-site analysis is available for GxE and stability analysis with or without grouping of environments, Single pass meta analysis of unbalanced site by season data is being incorporated.
- 7. Statistical analysis of Genotyping Data Single trait linkage analysis (QTL) Quality control phenotypes (summary statistics) Quality control marker data QTL detection – genome wide scan using single and composite IM Output includes profile plots and tables Results available for automatic viewing in Flapjack HTML report of QTL results Multiple trait & environment sequential analysis QTL results for each trait combined Single Flapjack view for all traits
- 8. Accessing BV from the BMS
- 9. Accessing BV from the BMS
- 10. Accessing BV from the BMS
- 11. Accessing BV from the BMS
- 12. Accessing BV from the BMS
- 13. Accessing BV from the BMS
- 14. Running an analysis in BV
- 15. Output from BV
- 16. Saving output to the BMS
- 17. To Come Ongoing updates to the Genstat and R scripts to support new field designs and analysis types as they are added to the BMS Additional field designs (e.g. Augmented, P-rep) Line x Tester analysis All pipelines fully integrated in BMS Addition of new pipelines (e.g., multi-site/multi- year analysis Incremental improvements to output and reports Improved documentation for all pipelines
- 18. To come Ability to add user/community developed R- scripts to BV Want to know more? www.integratedbreeding.net Questions about licensing? s.andrews@cgiar.org
- 19. Thanks!