META-R:A software to analyze data from multi-environment plant breeding trials

作     者：Gregorio Alvarado Francisco M.Rodríguez Angela Pacheco Juan Burgueño JoséCrossa Mateo Vargas Paulino Pérez-Rodríguez Marco A.Lopez-Cruz Gregorio Alvarado;Francisco M. Rodríguez;Angela Pacheco;Juan Burgue?o;José Crossa;Mateo Vargas;Paulino Pérez-Rodríguez;Marco A. Lopez-Cruz

作者机构：Biometrics and Statistics UnitInternational Maize and Wheat Improvement Center(CIMMYT)MexicoDF 6-64106600Mexico Centro de Investigación en Matemáticas(CIMAT)A.C.Jalisco S/NCol.ValencianaGuanajuatoGto 40236023Mexico Universidad Autónoma ChapingoCarretera Federal México-Texcoco km 38.5TexcocoMéxico 6356230Mexico Colegio de PostgraduadosCarretera México-Texcoco Km.36.5MontecilloTexcoco 6356231Mexico Department of PlantSoil and Microbial SciencesMichigan State University1066 Bogue StEast LansingMI 48824USA 

出 版 物：《The Crop Journal》 (作物学报（英文版）)

年 卷 期：2020年第8卷第5期

页      面：745-756页

核心收录：

学科分类：02[经济学] 07[理学] 08[工学] 09[农学] 071007[理学-遗传学] 070103[理学-概率论与数理统计] 090102[农学-作物遗传育种] 0710[理学-生物学] 0202[经济学-应用经济学] 020208[经济学-统计学] 0714[理学-统计学（可授理学、经济学学位）] 0901[农学-作物学] 0836[工学-生物工程] 0701[理学-数学] 

基　　金：We are grateful for the financial support provided by the Bill&Melinda Gates Foundation and CIMMYT's CGIAR CRP(MAIZE and WHEAT) as well as the USAID Projects(Cornell University and Kansas State University)that generated the CIMMYT wheat data analyzed in this study.We acknowledge the financial support provided by the Foundation for Research Levy on Agricultural Products(FFL)and the Agricultural Agreement Research Fund(JA)in Norway through NFR grant 267806 

主　　题：environments breeding variance 

摘      要：META-R(multi-environment trial analysis in R)is a suite of R scripts linked by a graphical user interface(GUI)designed in Java *** objective of META-R is to accurately analyze multi-environment plant breeding trials(METs)by fitting mixed and fixed linear models from experimental designs such as the randomized complete block design(RCBD)and the alpha-lattice/lattice ***-R simultaneously estimates the best linear and unbiased estimators(BLUEs)and the best linear and unbiased predictors(BLUPs).Additionally,it computes the variance-covariance parameters,as well as some statistical and genetic parameters such as the least significant difference(LSD)at 5%significance,the coefficient of variation in percentage(CV),the genetic variance,and the broad-sense *** parameters are very important in the selection of top performing genotypes in plant ***-R also computes the phenotypic and genetic correlations among environments and between traits,as well as their statistical *** genetic correlations between environments or traits can be visualized in a biplot graph or a tree diagram(dendrogram).Genetic correlations are very important for identifying environments with similar behavior or making indirect selection and identifying the most highly associated ***-R performs multi-environment analyses by using the residual maximum likelihood(REML)method;these analyses can be done by environment,across environments by grouping factors(stress conditions,nitrogen content,etc.)and across environments;the analyses across environments can be done with a pre-defined degree of heritability.