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| 1 | META-R:A software to analyze data from multi-environment plant breeding trials显示文摘META-R(multi-environment trial analysis in R)is a suite of R scripts linked by a graphical user interface(GUI)designed in Java language.The 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 designs.META-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 heritability.These parameters are very important in the selection of top performing genotypes in plant breeding.META-R also computes the phenotypic and genetic correlations among environments and between traits,as well as their statistical significance.The 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 traits.META-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. | Gregorio Alvarado Francisco M.Rodríguez Angela Pacheco Juan Burgueño JoséCrossa Mateo Vargas Paulino Pérez-Rodríguez Marco A.Lopez-Cruz | 2020 | The Crop Journal2020，8，5： | 4 |
| 2 | Dissecting Maize Productivity:Ideotypes Associated with Grain Yield under Drought Stress and Well-watered Conditions显示文摘To increase maize (Zea mays L.) yields in drought-prone environments and offset predicted maize yield losses under future climates,the development of improved breeding pipelines using a multi-disciplinary approach is essential.Elucidating key growth processes will provide opportunities to improve drought breeding progress through the identification of key phenotypic traits,ideotypes,and donors.In this study,we tested a large set of tropical and subtropical maize inbreds and single cross hybrids under reproductive stage drought stress and well-watered conditions.Patterns of biomass production,senescence,and plant water status were measured throughout the crop cycle.Under drought stress,early biomass production prior to anthesis was important for inbred yield,while delayed senescence was important for hybrid yield.Under well-watered conditions,the ability to maintain a high biomass throughout the growing cycle was crucial for inbred yield,while a stay-green pattern was important for hybrid yield.While new quantitative phenotyping tools such as spectral reflectance (Normalized Difference Vegetation Index,NDVI) allowed for the characterization of growth and senescence patterns as well as yield,qualitative measurements of canopy senescence were also found to be associated with grain yield. | Jill E.Cairns Ciro Sanchez Mateo Vargas Raziel Ordoez Jose Luis Araus | 2012 | Journal of Integrative Plant Biology2012，54，12： | 3 |
| 3 | Comparison of eleetrophysiological parameters of septal and apical endocardial cardiac stimulation显示文摘 | Mateos JC Mateos JC Vargas RN et M | 2012 | Rev Bras Cir Cardiovasc2012，27，2： | 1 |
| 4 | Using partial least squares regression,factorial regression,and AMMI models for interpreting genotype×environment interaction显示文摘 | Mateo Vargas Jose Crossa Fred Avan Eeuwijk | 1999 | Crop Sci1999，39，： | 1 |
| 5 | Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits显示文摘 | Rainer Messmer Yvan Fracheboud Marianne B?nziger Mateo Vargas Peter Stamp Jean-Marcel Ribaut | 2009 | Theoretical and Applied Genetics2009，，5： | 1 |
| 6 | Comparison of electrophysiological parameters of septal and apical endocardial cardiac stimulation显示文摘 | Mateos JC Vargas RN Mateos EI | | 0，，02： | 1 |
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