Introduction to Experimental Designs with Proc Glimmix of SAS: Applications in Food Science and Agricultural Science
暫譯: SAS Proc Glimmix 實驗設計導論：在食品科學與農業科學中的應用

在本書中，實驗設計與分析的主題以簡單的語言進行了說明，提供了各種設計的基本概念以及設計實驗所需的基本數據分析步驟。顯而易見，來自食品和農業科學領域的研究人員對於一本涵蓋基本概念、提供各種需要使用實驗設計的情境範例，以及提供正確分析執行所需的清晰步驟的參考書籍有著迫切的需求。本書滿足了這些需求，同時分享了在統計分析系統（Statistical Analysis Systems, SAS）中使用 Proc Glimmix 進行分析的各種設計的程式碼。希望這能讓讀者能夠直接分析他們實驗中的數據。

Josafhat Salinas Ruiz holds BS in Agro-industrial Engineering from Universidad Autónoma Chapingo, Mexico, Masters in Statistics from Colegio de Postgraduados of México and PhD in Biometry from the University of Nebraska-Lincoln, USA. Josafhat Salinas-Ruíz is currently a Professor of Statistics, Multivariate statistics, and Experimental Designs at Colegio de Postgraduados campus Córdoba, Mexico. His areas of interest include advanced statistical modeling in plant sciences, agriculture, and agronomy, generalized linear mixed models, multivariate analysis and experimental designs.

Osval Antonio Montesinos López holds a BS in Agro-industrial Engineering from Universidad Autónoma Chapingo of México, Masters in Statistics from Colegio de Postgraduados of México and PhD in Statistics and Biometry from the University of Nebraska-Lincoln. Osval A. Montesinos-López is currently a Professor of Statistics, Probability and Statistical Learning at the University of Colima, México. His areas of interest include the development of novel genomic prediction models for plant breeding, high-dimensional data analysis, generalized linear mixed models and Bayesian analysis, multivariate analysis, and experimental designs. He has contributed univariate and multivariate genomic prediction models for predicting breeding values in plants with normal, binary, count and ordinal phenotypes. He also has taught courses on genomic prediction, statistical and machine learning in Mexico, the United States of America, Brazil, Peru, Nigeria, France and India.

José Crossa holds a BS in Agriculture from Republic University of Uruguay and a PhD in Statistics and Quantitative Genetics from the University of Nebraska-Lincoln. He has helped define key methodologies for conserving and using the center's maize genetic resources, covering proper regeneration procedures and strategies for forming core subsets of large germplasm collections. Crossa's became Head of the Biometrics and Statistics Unit of CIMMYT and developed theoretical and practical work on genetic resources conservation that made him to be selected the best scientist of the CGIAR Centers in 2008. His substantive body of research and publications has addressed many other areas of breeding and agronomy research, including developing new statistical models for genotype x environment, and QTL x environment interactions, general breeding and experimental design, hybrids and heterotic patterns, and association mapping, to name a few important subjects, and enjoys international acclaim and application. Crossa was given the Distinguish Scientist recognition in CIMMYT and is a Fellow of the Agronomy Society of America and of the Crop Science Society of America, Member of the Mexican Academy of Science, Member of the National Research System of the National Council of Research and Technology (CONACYT) of Mexico, invited professor at Universities in Mexico and Uruguay, and Adjunct Professor at the University of Nebraska. Recently, Crossa and colleges impacted plant breeding by being one of the first researchers in showing genomic-enabled predictions models with high accuracy using pedigree and markers information applied in massive maize and wheat field data.

Josafhat Salinas Ruiz 擁有墨西哥查平哥自治大學的農業工業工程學士學位、墨西哥研究生學院的統計碩士學位，以及美國內布拉斯加州林肯大學的生物統計學博士學位。Josafhat Salinas-Ruíz 目前是墨西哥科爾多瓦研究生學院的統計學、多變量統計學和實驗設計教授。他的研究興趣包括植物科學、農業和農藝學中的高級統計建模、廣義線性混合模型、多變量分析和實驗設計。

Osval Antonio Montesinos López 擁有墨西哥查平哥自治大學的農業工業工程學士學位、墨西哥研究生學院的統計碩士學位，以及內布拉斯加州林肯大學的統計學和生物統計學博士學位。Osval A. Montesinos-López 目前是墨西哥科利馬大學的統計學、機率和統計學習教授。他的研究興趣包括為植物育種開發新型基因組預測模型、高維數據分析、廣義線性混合模型和貝葉斯分析、多變量分析和實驗設計。他為預測具有常態、二元、計數和序數表型的植物育種值貢獻了單變量和多變量基因組預測模型。他還在墨西哥、美國、巴西、秘魯、尼日利亞、法國和印度教授基因組預測、統計學和機器學習課程。

José Crossa 擁有烏拉圭共和國大學的農業學士學位，以及內布拉斯加州林肯大學的統計學和定量遺傳學博士學位。他幫助定義了保護和利用該中心玉米遺傳資源的關鍵方法，包括適當的再生程序和形成大型種質庫核心子集的策略。Crossa 成為 CIMMYT 生物統計和統計單位的負責人，並開展了有關遺傳資源保護的理論和實踐工作，使他在 2008 年被選為 CGIAR 中心的最佳科學家。他的研究和出版物涵蓋了育種和農藝研究的許多其他領域，包括為基因型 x 環境和 QTL x 環境交互作用開發新的統計模型、一般育種和實驗設計、雜交和異質模式以及關聯圖譜等重要主題，並享有國際聲譽和應用。Crossa 在 CIMMYT 獲得了傑出科學家認可，並且是美國農藝學會和美國作物科學學會的會士、墨西哥科學院的成員、墨西哥國家研究與技術委員會（CONACYT）國家研究系統的成員、受邀教授於墨西哥和烏拉圭的多所大學，以及內布拉斯加大學的兼任教授。最近，Crossa 和同事們通過展示使用家譜和標記信息應用於大規模玉米和小麥田間數據的高準確度基因組預測模型，對植物育種產生了影響。