Crossa, J. Person

selected publications

• article

  • A zero altered Poisson random forest model for genomic-enabled prediction.  G3-GENES GENOMES GENETICS.  11. 2021
  • Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels.  Genetics.  217. 2021
  • Application of multi-trait Bayesian decision theory for parental genomic selection.  G3-GENES GENOMES GENETICS.  11. 2021
  • Changes in the bacterial community structure in soil under conventional and conservation practices throughout a complete maize (Zea mays L.) crop cycle.  Applied Soil Ecology.  157:103733. 2021
  • EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture.  G3-GENES GENOMES GENETICS.  11. 2021
  • Genetic dissection of Striga hermonthica (Del.) Benth. resistance via genome-wide association and genomic prediction in tropical maize germplasm.  Theoretical and Applied Genetics.  134:941-958. 2021
  • Genome-wide association study and genomic prediction of Fusarium ear rot resistance in tropical maize germplasm.  Crop Journal.  9:325-341. 2021
  • Maximizing efficiency of genomic selection in CIMMYT's tropical maize breeding program..  Theoretical and Applied Genetics.  134:1-16. 2021
  • Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials..  Heredity.  126:1-106. 2021
  • Prediction of count phenotypes using high-resolution images and genomic data.  G3-GENES GENOMES GENETICS.  11. 2021
  • Strategic use of Iranian bread wheat landrace accessions for genetic improvement: Core set formulation and validation.  Plant Breeding.  140:87-99. 2021
  • Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains.  Frontiers in Plant Science.  12. 2021
  • The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data.  Frontiers in Plant Science.  12. 2021
  • Aerial high‐throughput phenotyping enables indirect selection for grain yield at the early generation, seed‐limited stages in breeding programs.  Crop Science.  60:3096-3114. 2020
  • On Hadamard and Kronecker products in covariance structures for genotype × environment interaction.  PLANT GENOME.  13. 2020
  • Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions..  Frontiers in Genetics.  11:567757-567757. 2020
  • A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data..  G3-GENES GENOMES GENETICS.  10:4177-4190. 2020
  • Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits..  G3-GENES GENOMES GENETICS.  10:4083-4102. 2020
  • Genome-based trait prediction in multi- environment breeding trials in groundnut..  Theoretical and Applied Genetics.  133:3101-3117. 2020
  • Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials.  G3-GENES GENOMES GENETICS.  10:2725-2739. 2020
  • Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm.  G3-GENES GENOMES GENETICS.  10:2629-2639. 2020
  • Genome-based prediction of multiple wheat quality traits in multiple years..  PLANT GENOME.  13. 2020
  • Genome-based prediction of Bayesian linear and non-linear regression models for ordinal data..  PLANT GENOME.  13. 2020
  • Genomic prediction across years in a maize doubled haploid breeding program to accelerate early-stage testcross testing.  Theoretical and Applied Genetics.  133:2869-2879. 2020
  • Bayesian regularized quantile regression: A robust alternative for genome-based prediction of skewed data.  Crop Journal.  8:713-722. 2020
  • Expectation and variance of the estimator of the maximized selection response of linear selection indices with normal distribution..  Theoretical and Applied Genetics.  133:2743-2758. 2020
  • META-R: A software to analyze data from multi-environment plant breeding trials.  Crop Journal.  8:745-756. 2020
  • Combined Multistage Linear Genomic Selection Indices To Predict the Net Genetic Merit in Plant Breeding..  G3-GENES GENOMES GENETICS.  10:2087-2101. 2020
  • Regularized selection indices for breeding value prediction using hyper-spectral image data..  Scientific Reports.  10:8195. 2020
  • Genomic Prediction of Kernel Zinc Concentration in Multiple Maize Populations Using Genotyping-by-Sequencing and Repeat Amplification Sequencing Markers..  Frontiers in Plant Science.  11:534. 2020
  • Identification of CIMMYT spring bread wheat germplasm maintaining superior grain yield and quality under heat-stress.  Journal of Cereal Science.  93:102981. 2020
  • Aerial High-Throughput Phenotyping Enabling Indirect Selection for Grain Yield at the Early-generation Seed-limited Stages in Breeding Programs.  bioRxiv.  2020
  • Estudio comparativo de técnicas de optimización multirespuesta en diseños experimentales.  Ingeniería Investigación y Tecnología.  21:1-12. 2020
  • Grain yield genetic gains and changes in physiological related traits for CIMMYT's High Rainfall Wheat Screening Nursery tested across international environments..  Field Crops Research.  249:107742. 2020
  • Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia..  Frontiers in Plant Science.  11:353. 2020
  • CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate.  Crop Science.  60:547-567. 2020
  • Durum wheat selection under zero tillage increases early vigor and is neutral to yield.  Field Crops Research.  248:107675. 2020
  • Stacking Tolerance to Drought and Resistance to a Parasitic Weed in Tropical Hybrid Maize for Enhancing Resilience to Stress Combinations..  Frontiers in Plant Science.  11:166. 2020
  • Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm.  bioRxiv.  2020
  • Genetic image-processing using regularized selection indices.  bioRxiv.  625251. 2020
  • On-farm performance and farmers’ participatory assessment of new stress-tolerant maize hybrids in Eastern Africa.  Field Crops Research.  246:107693. 2020
  • On the approximation of interaction effect models by Hadamard powers of the additive genomic relationship..  Theoretical Population Biology.  132:16-23. 2020
  • Enhancing Hybrid Prediction in Pearl Millet Using Genomic and/or Multi-Environment Phenotypic Information of Inbreds..  Frontiers in Genetics.  10:1294. 2020
  • A data-driven simulation platform to predict cultivars' performances under uncertain weather conditions.  Nature Communications.  11. 2020
  • Comparison of array‐ and sequencing‐based markers for genome‐wide association mapping and genomic prediction in spring wheat.  Crop Science.  60:211-225. 2020
  • Genome-Wide Association Mapping and Genomic Prediction of Anther Extrusion in CIMMYT Hybrid Wheat Breeding Program via Modeling Pedigree, Genomic Relationship, and Interaction With the Environment.  Frontiers in Genetics.  11. 2020
  • Phenomic selection and prediction of maize grain yield from near‐infrared reflectance spectroscopy of kernels 2020
  • Efficiency of a Constrained Linear Genomic Selection Index To Predict the Net Genetic Merit in Plants..  G3-GENES GENOMES GENETICS.  9:3981-3994. 2019
  • The impact of sample selection strategies on genetic diversity and representativeness in germplasm bank collections.  BMC Plant Biology.  19:1-17. 2019
  • Effect of F1 and F2 generations on genetic variability and working steps of doubled haploid production in maize.  PLOS ONE.  14. 2019
  • Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods..  Frontiers in Plant Science.  10:1311. 2019
  • Modeling Genotype × Environment Interaction Using a Factor Analytic Model of On‐Farm Wheat Trials in the Yaqui Valley of Mexico.  Agronomy Journal.  111:2647-2657. 2019
  • Multivariate Bayesian Analysis of On‐Farm Trials with Multiple‐Trait and Multiple‐Environment Data.  Agronomy Journal.  111:2658-2669. 2019
  • Optimum and Decorrelated Constrained Multistage Linear Phenotypic Selection Indices Theory.  Crop Science.  59:2585-2600. 2019
  • A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data..  G3-GENES GENOMES GENETICS.  9:3381-3393. 2019
  • Factor analysis to investigate genotype and genotype × environment interaction effects on pro-vitamin A content and yield in maize synthetics.  Euphytica.  215:180. 2019
  • Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics..  Nature Genetics.  51:1530-+. 2019
  • Joint Use of Genome, Pedigree, and Their Interaction with Environment for Predicting the Performance of Wheat Lines in New Environments.  G3-GENES GENOMES GENETICS.  9:2925-2934. 2019
  • Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials..  G3-GENES GENOMES GENETICS.  9:2913-2924. 2019
  • isqg: A Binary Framework for in Silico Quantitative Genetics.  G3-GENES GENOMES GENETICS.  9:2425-2428. 2019
  • Maize responsiveness to Azospirillum brasilense: Insights into genetic control, heterosis and genomic prediction..  PLOS ONE.  14:1-22. 2019
  • Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm..  Theoretical and Applied Genetics.  132:2381-2399. 2019
  • An R Package for Bayesian Analysis of Multi-environment and Multi-trait Multi-environment Data for Genome-Based Prediction.  G3-GENES GENOMES GENETICS.  9:1355-1369. 2019
  • The Relative Efficiency of Two Multistage Linear Phenotypic Selection Indices to Predict the Net Genetic Merit.  Crop Science.  59:1037-1051. 2019
  • Resequencing of 429 chickpea accessions from 45 countries provides insights into genome diversity, domestication and agronomic traits..  Nature Genetics.  51:857-+. 2019
  • A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model.  Heredity.  122:381-401. 2019
  • New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes..  G3-GENES GENOMES GENETICS.  9:1545-1556. 2019
  • Effect of Missing Values on Variance Component Estimates in Multienvironment Trials.  Crop Science.  59:508-517. 2019
  • Hybrid Wheat Prediction Using Genomic, Pedigree, and Environmental Covariables Interaction Models..  PLANT GENOME.  12:180051. 2019
  • Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat..  G3-GENES GENOMES GENETICS.  9:1231-1247. 2019
  • High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage..  Theoretical and Applied Genetics.  132:1705-1720. 2019
  • A robust Bayesian genome-based median regression model..  Theoretical and Applied Genetics.  132:1587-1606. 2019
  • Provitamin A Carotenoids in Grain Reduce Aflatoxin Contamination of Maize While Combating Vitamin A Deficiency..  Frontiers in Plant Science.  10:30. 2019
  • A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding..  G3-GENES GENOMES GENETICS.  9:601-618. 2019
  • Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials..  Frontiers in Genetics.  10:1168. 2019
  • Empirical Comparison of Tropical Maize Hybrids Selected Through Genomic and Phenotypic Selections..  Frontiers in Plant Science.  10:1502. 2019
  • Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat.  Theoretical and Applied Genetics.  132:177-194. 2019
  • Modeling copy number variation in the genomic prediction of maize hybrids.  Theoretical and Applied Genetics.  132:273-288. 2019
  • Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture..  G3-GENES GENOMES GENETICS.  8:3813-3828. 2018
  • Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits.  G3-GENES GENOMES GENETICS.  8:3829-3840. 2018
  • A Bayesian Decision Theory Approach for Genomic Selection.  G3-GENES GENOMES GENETICS.  8:3019-3037. 2018
  • BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models.  G3-GENES GENOMES GENETICS.  8:3039-3047. 2018
  • Genetic Gains for Grain Yield in CIMMYT’s Semi-Arid Wheat Yield Trials Grown in Suboptimal Environments.  Crop Science.  58:1890-1898. 2018
  • Analysis and Interpretation of Interactions of Fixed and Random Effects 2018
  • Augmented Designs‐Experimental Designs in Which All Treatments are not Replicated 2018
  • Harnessing genetic potential of wheat germplasm banks through impact-oriented-prebreeding for future food and nutritional security..  Scientific Reports.  8:12527. 2018
  • Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat.  bioRxiv.  389825. 2018
  • Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea.  Scientific Reports.  8:11701. 2018
  • Chapter 13: Augmented Designs-Experimental Designs in Which All Treatments are not Replicated 2018
  • Chapter 7: Analysis and Interpretation of Interactions of Fixed and Random Effects 2018
  • Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance..  PLANT GENOME.  11:170104. 2018
  • SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis.  Crop Science.  58:1605-1615. 2018
  • Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture..  Plant Methods.  14:46-46. 2018
  • When less can be better: How can we make genomic selection more cost-effective and accurate in barley?.  Theoretical and Applied Genetics.  131:1873-1890. 2018
  • A bayesian genomic regression model with skew normal random errors.  G3-GENES GENOMES GENETICS.  8:1771-1785. 2018
  • Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials..  G3-GENES GENOMES GENETICS.  8:1347-1365. 2018
  • Genome-wide association mapping for resistance to leaf rust, stripe rust and tan spot in wheat reveals potential candidate genes..  Theoretical and Applied Genetics.  131:1405-1422. 2018
  • Constrained Linear Genomic Selection Indices 2018
  • Constrained Linear Phenotypic Selection Indices 2018
  • Linear Genomic Selection Indices 2018
  • Linear Marker and Genome-Wide Selection Indices 2018
  • Linear Molecular and Genomic Eigen Selection Index Methods 2018
  • Linear Phenotypic Eigen Selection Index Methods 2018
  • Milling, processing and end-use quality traits of CIMMYT spring bread wheat germplasm under drought and heat stress.  Field Crops Research.  215:104-112. 2018
  • Multistage Linear Selection Indices 2018
  • Prediction of Multiple-Trait and Multiple-Environment Genomic Data Using Recommender Systems..  G3-GENES GENOMES GENETICS.  8:131-147. 2018
  • Stochastic Simulation of Four Linear Phenotypic Selection Indices 2018
  • The Linear Phenotypic Selection Index Theory 2018
  • Variability in iron, zinc and phytic acid content in a worldwide collection of commercial durum wheat cultivars and the effect of reduced irrigation on these traits..  Food Chemistry.  237:499-505. 2017
  • Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations..  Frontiers in Plant Science.  8:1916-1916. 2017
  • Grain yield and stability of white early maize hybrids in the highland valleys of Mexico.  Crop Science.  57:3002-3015. 2017
  • Genomic prediction in a large African maize population.  Crop Science.  57:2361-2371. 2017
  • Use of Hyperspectral Image Data Outperforms Vegetation Indices in Prediction of Maize Yield.  Crop Science.  57:2517-2524. 2017
  • Genetic improvement of grain quality traits for CIMMYT semi-dwarf spring bread wheat varieties developed during 1965–2015: 50 years of breeding.  Field Crops Research.  210:192-196. 2017
  • Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data..  Plant Methods.  13:1-29. 2017
  • Comparison of Models and Whole-Genome Profiling Approaches for Genomic-Enabled Prediction of Septoria Tritici Blotch, Stagonospora Nodorum Blotch, and Tan Spot Resistance in Wheat.  PLANT GENOME.  10:1-16. 2017
  • Increasing Genomic-Enabled Prediction Accuracy by Modeling Genotype × Environment Interactions in Kansas Wheat..  PLANT GENOME.  10:1-15. 2017
  • Multitrait, Random Regression, or Simple Repeatability Model in High-Throughput Phenotyping Data Improve Genomic Prediction for Wheat Grain Yield..  PLANT GENOME.  10:1-15. 2017
  • Pedigree‐Based Prediction Models with Genotype × Environment Interaction in Multienvironment Trials of CIMMYT Wheat.  Crop Science.  57:1865-1880. 2017
  • Rapid Cycling Genomic Selection in a Multiparental Tropical Maize Population..  G3-GENES GENOMES GENETICS.  7:2315-2326. 2017
  • Single‐Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments.  The Plant Genome.  10:1-15. 2017
  • A Variational Bayes Genomic-Enabled Prediction Model with Genotype × Environment Interaction..  G3-GENES GENOMES GENETICS.  7:1833-1853. 2017
  • Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction..  G3-GENES GENOMES GENETICS.  7:1995-2014. 2017
  • Inverse sampling regression for pooled data..  Statistical Methods in Medical Research.  26:1093-1109. 2017
  • Genetic Gains in Grain Yield of a Maize Population Improved through Marker Assisted Recurrent Selection under Stress and Non-stress Conditions in West Africa.  Frontiers in Plant Science.  8:841. 2017
  • Genetic Gains in Yield and Yield Related Traits under Drought Stress and Favorable Environments in a Maize Population Improved Using Marker Assisted Recurrent Selection..  Frontiers in Plant Science.  8:808-808. 2017
  • A Bayesian Poisson-lognormal Model for Count Data for Multiple-Trait Multiple-Environment Genomic-Enabled Prediction..  G3-GENES GENOMES GENETICS.  7:1595-1606. 2017
  • Grain quality traits of commercial durum wheat varieties and their relationships with drought stress and glutenins composition.  Journal of Cereal Science.  75:1-9. 2017
  • Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids.  Theoretical and Applied Genetics.  130:1431-1440. 2017
  • Genomic and pedigree-based prediction for leaf, stem, and stripe rust resistance in wheat.  Theoretical and Applied Genetics.  130:1415-1430. 2017
  • Genetic yield gains in CIMMYT's international Elite Spring Wheat Yield Trials by modeling the genotype × environment interaction..  Crop Science.  57:789-801. 2017
  • Genomic selection for increased yield in synthetic-derived wheat..  Crop Science.  57:713-725. 2017
  • Use of Genomic Estimated Breeding Values Results in Rapid Genetic Gains for Drought Tolerance in Maize..  PLANT GENOME.  10:1-8. 2017
  • Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico..  G3-GENES GENOMES GENETICS.  7:481-495. 2017
  • Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data.  Plant Methods.  13:4-4. 2017
  • Applications of Genomic Selection in Breeding Wheat for Rust Resistance..  Methods of Molecular Biology.  1659:173-182. 2017
  • Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models.  G3-GENES GENOMES GENETICS.  7:41-53. 2017
  • Bayesian Genomic-Enabled Prediction Models for Ordinal and Count Data 2017
  • Gains in Maize Genetic Improvement in Eastern and Southern Africa: I. CIMMYT Hybrid Breeding Pipeline.  Crop Science.  57:168-179. 2017
  • Gains in Maize Genetic Improvement in Eastern and Southern Africa: II. CIMMYT Open-Pollinated Variety Breeding Pipeline.  Crop Science.  57:180-191. 2017
  • Genomic-enabled prediction model with genotype × environment interaction in elitechickpea lines 2017
  • Wheat quality improvement at CIMMYT and the use of genomic selection on it..  Applied and Translational Genomics.  11:3-8. 2016
  • Genome-enabled prediction models for yield related traits in chickpea.  Frontiers in Plant Science.  7:1666-1666. 2016
  • Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models.  PLANT GENOME.  9:1-20. 2016
  • Comparative performance of top-cross maize hybrids under managed drought stress and variable rainfed environments.  Euphytica.  212:455-472. 2016
  • A Genomic Bayesian Multi-trait and Multi-environment Model.  G3-GENES GENOMES GENETICS.  6:2725-2744. 2016
  • A Hierarchical Bayesian Estimation Model for Multienvironment Plant Breeding Trials in Successive Years.  Crop Science.  56:2260-2276. 2016
  • A Predetermined Proportional Gains Eigen Selection Index Method.  Crop Science.  56:2436-2447. 2016
  • Canopy temperature and vegetation indices from high-throughput phenotyping improve accuracy of pedigree and genomic selection for grain yield in wheat.  G3-GENES GENOMES GENETICS.  6:2799-2808. 2016
  • Extending the Marker × Environment Interaction Model for Genomic‐Enabled Prediction and Genome‐Wide Association Analysis in Durum Wheat.  Crop Science.  56:2193-2209. 2016
  • Predicting wheat maturity and stay–green parameters by modeling spectral reflectance measurements and their contribution to grain yield under rainfed conditions.  Field Crops Research.  196:191-198. 2016
  • Genomic Prediction of Gene Bank Wheat Landraces.  G3-GENES GENOMES GENETICS.  6:1819-1834. 2016
  • Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones.  Scientific Reports.  6:27312-27312. 2016
  • Impacto del desarrollo de híbridos de maíz en Centro América.  Agronomía Mesoamericana.  5:78-87. 2016
  • A regression model for pooled data in a two-stage survey under informative sampling with application for detecting and estimating the presence of transgenic corn.  Seed Science Research.  26:182-197. 2016
  • Daylength, Temperature and Solar Radiation Effects on the Phenology and Yield Formation of Spring Durum Wheat.  Journal of Agronomy and Crop Science.  202:203-216. 2016
  • Use of rapid tests to predict quality traits of CIMMYT bread wheat genotypes grown under different environments.  Lwt - Food Science and Technology.  69:327-333. 2016
  • Genomic prediction for grain zinc and iron concentrations in spring wheat.  Theoretical and Applied Genetics.  129:1595-1605. 2016
  • Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction..  G3-GENES GENOMES GENETICS.  6:1165-1177. 2016
  • Genomic prediction using phenotypes from pedigreed lines with no marker data.  Crop Science.  56:957-964. 2016
  • Unlocking the genetic diversity of Creole wheats.  Scientific Reports.  6:23092-23092. 2016
  • Genome-enabled prediction using probabilistic neural network classifiers..  BMC Genomics.  17:208-208. 2016
  • Performance and grain yield stability of maize populations developed using marker-assisted recurrent selection and pedigree selection procedures.  Euphytica.  208:285-297. 2016
  • Sources of the highly expressed wheat bread making (wbm) gene in CIMMYT spring wheat germplasm and its effect on processing and bread-making quality.  Euphytica.  209:689-692. 2016
  • Association mapping for resistance to tan spot induced by Pyrenophora tritici - repentis race 1 in CIMMYTs historical bread wheat set.  Euphytica.  207:515-525. 2016
  • Response to drought and heat stress on wheat quality, with special emphasis on bread-making quality, in durum wheat..  Field Crops Research.  186:157-165. 2016
  • Evaluation of Grain Yield and Quality Traits of Bread Wheat Genotypes Cultivated in Northwest Turkey.  Crop Science.  56:73-84. 2016
  • Improving Maize Grain Yield under Drought Stress and Non-stress Environments in Sub-Saharan Africa using Marker-Assisted Recurrent Selection.  Crop Science.  56:344-353. 2016
  • Molecular Marker-Based Selection Tools in Spring Bread Wheat Improvement: CIMMYT Experience and Prospects 2016
  • Statistical Sampling Properties of the Coefficients of Three Phenotypic Selection Indices.  Crop Science.  56:51-58. 2016
  • Utilizing genomics and phenomics in CIMMYT wheat breeding 2016
  • Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction.  bioRxiv.  34967. 2015
  • Genome‐Wide Association Study for Adaptation to Agronomic Plant Density: A Component of High Yield Potential in Spring Wheat.  Crop Science.  55:2609-2619. 2015
  • Genomic Prediction Models for Count Data.  Journal of Agricultural Biological and Environmental Statistics.  20:533-554. 2015
  • Selection of the Bandwidth Parameter in a Bayesian Kernel Regression Model for Genomic-Enabled Prediction.  Journal of Agricultural Biological and Environmental Statistics.  20:512-532. 2015
  • A Genomic Selection Index Applied to Simulated and Real Data.  G3-GENES GENOMES GENETICS.  5:2155-2164. 2015
  • Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression.  G3-GENES GENOMES GENETICS.  5:2113-2126. 2015
  • Development and characterization of the 4th CSISA-spot blotch nursery of bread wheat.  European Journal of Plant Pathology.  143:595-605. 2015
  • A Pedigree‐Based Reaction Norm Model for Prediction of Cotton Yield in Multienvironment Trials.  Crop Science.  55:1143-1151. 2015
  • Increased prediction accuracy in wheat breeding trials using a marker × environment interaction genomic selection model..  G3-GENES GENOMES GENETICS.  5:569-582. 2015
  • Analysis and Interpretation of Interactions in Agricultural Research.  Agronomy Journal.  107:748-762. 2015
  • Evaluation and Interpretation of Interactions.  Agronomy Journal.  107:736-747. 2015
  • Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs.  Heredity.  114:291-299. 2015
  • Optimal sample sizes for group testing in two-stage sampling.  Seed Science Research.  25:12-28. 2015
  • Threshold models for genome-enabled prediction of ordinal categorical traits in plant breeding..  G3-GENES GENOMES GENETICS.  5:291-300. 2015
  • Evaluating testing strategies for plant breeding field trials: redesigning a CIMMYT international wheat nursery.  Crop Science.  55:164-177. 2015
  • Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress.  Crop Science.  55:154-163. 2015
  • Effects of S1 recurrent selection for provitamin A carotenoid content for three open-pollinated maize cultivars..  Crop Science.  54:2449-2460. 2014
  • Bayesian Genomic-Enabled Prediction as an Inverse Problem.  G3-GENES GENOMES GENETICS.  4:1991-2001. 2014
  • Relationships between physiological traits, grain number and yield potential in a wheat DH population of large spike phenotype.  Field Crops Research.  164:126-135. 2014
  • Evaluation of genomic selection training population designs and genotyping strategies in plant breeding programs using simulation.  Crop Science.  54:1476-1488. 2014
  • Genomic-enabled prediction with classification algorithms..  Heredity.  112:616-626. 2014
  • Variability in glutenin subunit composition of Mediterranean durum wheat germplasm and its relationship with gluten strength.  JOURNAL OF AGRICULTURAL SCIENCE.  152:379-393. 2014
  • Durum wheat (Triticum durum Desf.) Mediterranean landraces as sources of variability for allelic combinations at Glu-1/Glu-3 loci affecting gluten strength and pasta cooking quality.  Genetic Resources and Crop Evolution.  61:1219-1236. 2014
  • Molecular mapping across three populations reveals a QTL hotspot region on chromosome 3 for secondary traits associated with drought tolerance in tropical maize.  Molecular Breeding.  34:701-715. 2014
  • A reaction norm model for genomic selection using high-dimensional genomic and environmental data.  Theoretical and Applied Genetics.  127:595-607. 2014
  • Genomic prediction in CIMMYT maize and wheat breeding programs.  Heredity.  112:48-60. 2014
  • Partner survey for the CGIAR Research Program WHEAT : national and international priorities and engagement 2014
  • Rindsel: an R package for phenotypic and molecular selection indices used in plant breeding..  Methods of Molecular Biology.  1145:87-96. 2014
  • Sample size for detecting transgenic plants using inverse binomial group testing with dilution effect.  Seed Science Research.  23:279-288. 2013
  • The use of unbalanced historical data for genomic selection in an international wheat breeding program.  Field Crops Research.  154:12-22. 2013
  • Genomic Prediction in Maize Breeding Populations with Genotyping-by-Sequencing.  G3-GENES GENOMES GENETICS.  3:1903-1926. 2013
  • Earliness in wheat: A key to adaptation under terminal and continual high temperature stress in South Asia.  Field Crops Research.  151:19-26. 2013
  • Technical Note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding.  Journal of Animal Science.  91:3522-3531. 2013
  • Identification of Drought, Heat, and Combined Drought and Heat Tolerant Donors in Maize.  Crop Science.  53:1335-1346. 2013
  • Historical changes in grain yield and quality of spring wheat varieties cultivated in Siberia from 1900 to 2010.  Canadian Journal of Plant Science.  93:425-433. 2013
  • QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance.  Theoretical and Applied Genetics.  126:583-600. 2013
  • Searching for novel sources of field resistance to Ug99 and Ethiopian stem rust races in durum wheat via association mapping.  Theoretical and Applied Genetics.  126:1237-1256. 2013
  • An assessment of wheat yield sensitivity and breeding gains in hot environments.  PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES.  280:20122190-20122190. 2013
  • Genome-enabled prediction using the BLR (Bayesian Linear Regression) R-package.  Methods of Molecular Biology.  1019:299-320. 2013
  • High-Throughput and Precision Phenotyping for Cereal Breeding Programs 2013
  • META: A suite of sas programs to analyze multienvironment breeding trials.  Agronomy Journal.  105:11-19. 2013
  • Using molecular marker order to compare genetic structure in plant populations undergoing selection 2013
  • Breeding of an early-flowering and drought-tolerant Lotus corniculatus L. variety for the high-rainfall zone of southern Australia.  Crop & Pasture Science.  63:848-857. 2012
  • Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat.  G3-GENES GENOMES GENETICS.  2:1595-1605. 2012
  • Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments.  G3-GENES GENOMES GENETICS.  2:1427-1436. 2012
  • Genomic Selection in Wheat Breeding using Genotyping-by-Sequencing.  PLANT GENOME.  5:103-113. 2012
  • Genomic prediction of genetic values for resistance to wheat rusts.  PLANT GENOME.  5:136-148. 2012
  • Prediction of genetic values of quantitative traits with epistatic effects in plant breeding populations.  Heredity.  109:313-319. 2012
  • Performance of biofortified spring wheat genotypes in target environments for grain zinc and iron concentrations.  Field Crops Research.  137:261-267. 2012
  • Genetic Gains for Grain Yield in CIMMYT Spring Bread Wheat across International Environments.  Crop Science.  52:1522-1533. 2012
  • Multi-Trait and Multi-Environment QTL Analyses for Resistance to Wheat Diseases.  PLOS ONE.  7. 2012
  • Genome-enabled prediction of genetic values using radial basis function neural networks.  Theoretical and Applied Genetics.  125:759-771. 2012
  • From Genotype × Environment Interaction to Gene × Environment Interaction.  Current Genomics.  13:225-244. 2012
  • A General Bayesian Estimation Method of Linear–Bilinear Models Applied to Plant Breeding Trials With Genotype × Environment Interaction.  Journal of Agricultural Biological and Environmental Statistics.  17:15-37. 2012
  • Sample size under inverse negative binomial group testing for accuracy in parameter estimation..  PLOS ONE.  7. 2012
  • Factors Affecting the Accuracy of Genotype Imputation in Populations from Several Maize Breeding Programs.  Crop Science.  52:654-663. 2012
  • Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers.  Crop Science.  52:707-719. 2012
  • Phenotyping transgenic wheat for drought resistance.  Journal of Experimental Botany.  63:1799-1808. 2012
  • Genetic Yield Gains and Changes in Associated Traits of CIMMYT Spring Bread Wheat in a "Historic" Set Representing 30 Years of Breeding.  Crop Science.  52:1123-1131. 2012
  • Genetic analysis of adult plant, quantitative resistance to stripe rust in wheat cultivar 'Stephens' in multi-environment trials..  Theoretical and Applied Genetics.  124:1-11. 2012
  • Genetic structures of the CIMMYT international yield trial targeted to irrigated environments.  Molecular Breeding.  29:529-541. 2012
  • Sample size with finite populations and imperfect diagnostic tests for pooled samples 2012
  • Variance effective population size for Dioecious species.  Crop Science.  52:79-90. 2012
  • Wheat yield and tillage–straw management system × year interaction explained by climatic co-variables for an irrigated bed planting system in northwestern Mexico.  Field Crops Research.  124:347-356. 2011
  • Presence of variability ex situ and in situ in the Cuban germplasm of maize (Zea mays L.). Importance of the complementation of both conservation approaches 2011
  • Presencia de la variabilidad ex situ e in situ en el germoplasma cubano de maíz (Zea mays L.): Importancia de la complementación de ambos enfoques de conservación 2011
  • Three-Mode Principal Component Analysis of Genotype-by-Environment-by-Trait Data in Durum Wheat.  Journal of Crop Improvement.  25:619-649. 2011
  • Large-scale screening for maize drought resistance using multiple selection criteria evaluated under water-stressed and well-watered environments.  Field Crops Research.  124:37-45. 2011
  • Optimal sample size for estimating the proportion of transgenic plants using the Dorfman model with a random confidence interval.  Seed Science Research.  21:235-245. 2011
  • Bayesian estimation of the additive main effects and multiplicative interaction model.  Crop Science.  51:1458-1469. 2011
  • Identifying QTLs and Epistasis in Structured Plant Populations Using Adaptive Mixed LASSO.  Journal of Agricultural Biological and Environmental Statistics.  16:170-184. 2011
  • Presence of variability ex situ and in situ Cuban germplasm of maize (Zea mays L.): Importance of complementing both approaches to conservation 2011
  • Indirect selection using reference and probe genotype performance in multi-environment trials.  Crop & Pasture Science.  62:313-327. 2011
  • Prediction assessment of linear mixed models for multienvironment trials.  Crop Science.  51:944-954. 2011
  • Race non-specific resistance to rust diseases in CIMMYT spring wheats.  Euphytica.  179:175-186. 2011
  • Genomic selection and prediction in plant breeding.  Journal of Crop Improvement.  25:239-261. 2011
  • Gene effects and heterosis for grain iron and zinc density in pearl millet (Pennisetum glaucum (L.) R. Br).  Euphytica.  180:251-259. 2011
  • The effect of tillage, crop rotation and residue management on maize and wheat growth and development evaluated with an optical sensor.  Field Crops Research.  120:58-67. 2011
  • Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers.  Genetics.  186:713-724. 2010
  • Classifying vegetable genetic resources - a case study with domesticated Capsicum spp..  Scientia Horticulturae.  126:186-191. 2010
  • Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R.  PLANT GENOME.  3:106-116. 2010
  • Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods.  Genetics Research.  92:295-308. 2010
  • Phylogenetic and multivariate analyses to determine the effects of different tillage and residue management practices on soil bacterial communities.  Applied and Environmental Microbiology.  76:3685-3691. 2010
  • Sample size for detecting and estimating the proportion of transgenic plants with narrow confidence intervals.  Seed Science Research.  20:123-136. 2010
  • Gene action of canopy temperature in bread wheat under diverse environments.  Theoretical and Applied Genetics.  120:1107-1117. 2010
  • Hierarchical Multiple-Factor Analysis for Classifying Genotypes Based on Phenotypic and Genetic Data.  Crop Science.  50:105-117. 2010
  • Linear, bilinear, and linear-bilinear fixed and mixed models for analyzing genotype x environment interaction in plant breeding and agronomy.  Canadian Journal of Plant Science.  90:561-574. 2010
  • Targeting of early to intermediate maize hybrids for yield performance and yield stability using SREG model.  The South African Journal of Plant and Soil.  27:207-214. 2010
  • Caracterización de razas cubanas de maíz (Zea mays L.) mediante marcadores agromorfológicos en la colección nacional del cultivo 2009
  • Cuban maize (Zea mays L.) race characterization of the national crop collection through agro-morphological markers 2009
  • Generalizing the sites regression model to three-way interaction including multi-attributes..  Crop Science.  49:2043-2057. 2009
  • Generalizing the sites regression model to three-way interaction including multi-attributes..  Crop Science.  49:2043-2057. 2009
  • Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution.  Crop Science.  49:1564-1576. 2009
  • Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution.  Crop Science.  49:1564-1576. 2009
  • Mega‐Environment Identification for Barley Based on Twenty‐Seven Years of Global Grain Yield Data.  Crop Science.  49:1705-1718. 2009
  • Mega‐Environment Identification for Barley Based on Twenty‐Seven Years of Global Grain Yield Data.  Crop Science.  49:1705-1718. 2009
  • Core Hunter: an algorithm for sampling genetic resources based on multiple genetic measures.  BMC Bioinformatics.  10:243-243. 2009
  • HETEROSIS AND COMBINING ABILITY AMONG CIMMYT'S MID-ALTITUDE EARLY TO INTERMEDIATE MATURING MAIZE (ZEA MAYS L.) POPULATIONS.  Maydica.  54:97-107. 2009
  • Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree.  Genetics.  182:375-385. 2009
  • Results of the 2008 regional and on-farm maize trials in West Africa 2009
  • A Restricted Selection Index Method Based on Eigenanalysis.  Journal of Agricultural Biological and Environmental Statistics.  13:440-457. 2008
  • Minimum resources for phenotyping morphological traits of maize (Zea mays L.) genetic resources.  Plant Genetic Resources.  6:195-200. 2008
  • Genetic analysis of slow-rusting resistance to leaf rust in durum wheat.  Crop Science.  48:2132-2140. 2008
  • Using Factor Analytic Models for Joining Environments and Genotypes without Crossover Genotype × Environment Interaction.  Crop Science.  48:1291-1305. 2008
  • Combining ability and heterosis under pest epidemics in a broad-based global wheat-breeding population.  Plant Breeding.  127:222-227. 2008
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  • Probability models for detecting transgenic plants.  Seed Science Research.  18:77-89. 2008
  • A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.).  Euphytica.  161:241-257. 2008
  • Numerical classification of related Peruvian highland maize races using internal ear traits.  Genetic Resources and Crop Evolution.  55:1055-1064. 2008
  • Genetic Diversity in CIMMYT Nontemperate Maize Germplasm: Landraces, Open Pollinated Varieties, and Inbred Lines.  Crop Science.  48:617-624. 2008
  • Long-term consequences of tillage, residue management, and crop rotation on selected soil micro-flora groups in the subtropical highlands.  Applied Soil Ecology.  38:197-210. 2008
  • Classification of Peruvian highland maize races using plant traits.  Genetic Resources and Crop Evolution.  55:151-162. 2008
  • Classification of Peruvian highland maize races using plant traits.  Genetic Resources and Crop Evolution.  55:151-162. 2008
  • A molecular selection index method based on eigenanalysis.  Genetics.  180:547-557. 2008
  • Evaluation of early to medium maturing open pollinated maize varieties in SADC region using GGE biplot based on the SREG model.  Field Crops Research.  103:161-169. 2007
  • Lessons learnt from forty years of international spring bread wheat trials.  Euphytica.  157:385-390. 2007
  • Evaluating spatial within plot crop variability for different management practices with an optical sensor.  Plant and Soil.  299:29-42. 2007
  • Global adaptation patterns of Australian and CIMMYT spring bread wheat.  Theoretical and Applied Genetics.  115:819-835. 2007
  • Combining superior agronomic performance and terminal heat tolerance with resistance to spot blotch (Bipolaris sorokiniana) of wheat in the warm humid Gangetic Plains of South Asia.  Field Crops Research.  103:53-61. 2007
  • Performance of yield and stability of advanced wheat genotypes under heat stress environments of the Indo-Gangetic plains.  Crop Science.  47:1561-1573. 2007
  • WHEAT GRAIN YIELD AND STABILITY ASSESSED THROUGH REGIONAL TRIALS IN THE EASTERN GANGETIC PLAINS OF SOUTH ASIA.  Euphytica.  157:457-464. 2007
  • Variation in partial resistance to barley leaf rust ( Puccinia hordei) and agronomic characters of Ethiopian landrace lines.  Euphytica.  158:139-151. 2007
  • Associations of environments in south asia based on spot blotch disease of wheat caused by Cochliobolus sativus.  Crop Science.  47:1071-1081. 2007
  • Structural equation modelling for studying genotype x environment interactions of physiological traits affecting yield in wheat.  JOURNAL OF AGRICULTURAL SCIENCE.  145:151-161. 2007
  • High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy.  Euphytica.  157:365-384. 2007
  • High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy.  Euphytica.  157:365-384. 2007
  • Evaluation of slow rusting resistance components to leaf rust in CIMMYT durum wheats.  Euphytica.  155:361-369. 2007
  • Modeling Additive × Environment and Additive × Additive × Environment Using Genetic Covariances of Relatives of Wheat Genotypes.  Crop Science.  47:311-320. 2007
  • Seedling vigor inheritance and its relationship to adult plant traits in inbred tropical maize lines.  Agrociencia.  41:425-433. 2007
  • Studying the effect of environmental variables on the genotype × environment interaction of tomato.  Euphytica.  153:119-134. 2007
  • Studying the effect of environmental variables on the genotype × environment interaction of tomato.  Euphytica.  153:119-134. 2007
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  • QTL mapping of grain length in rice (Oryza sativa L.) using chromosome segment substitution lines..  Genetics Research.  88:93-104. 2006
  • The global adaptation of bread wheat at high latitudes.  Euphytica.  152:303-316. 2006
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  • A Selection Index Method Based on Eigenanalysis.  Crop Science.  46:1711-1721. 2006
  • Long-term consequences of tillage, residue management, and crop rotation on maize/wheat root rot and nematode populations in subtropical highlands.  Applied Soil Ecology.  32:305-315. 2006
  • Modeling genotype × environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes.  Crop Science.  46:1722-1733. 2006
  • Bringing wild relatives back into the family: recovering genetic diversity in CIMMYT improved wheat germplasm.  Euphytica.  149:289-301. 2006
  • Grouping of accessions of Mexican races of maize revisited with SSR markers.  Theoretical and Applied Genetics.  113:177-185. 2006
  • Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods..  Theoretical and Applied Genetics.  112:1009-1023. 2006
  • Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods..  Theoretical and Applied Genetics.  112:1009-1023. 2006
  • Sampling Strategies for Conserving Maize Diversity When Forming Core Subsets Using Genetic Markers.  Crop Science.  46:854-864. 2006
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  • Identification of superior quality protein maize hybrids for different mega-environments using the biplot methodology.  Maydica.  51:451-460. 2006
  • Differential adaptation of CIMMYT bread wheat to global high temperature environments.  Crop Science.  45:2443-2453. 2005
  • Detecting (trans)gene flow to landraces in centers of crop origin: lessons from the case of maize in Mexico..  Environmental Biosafety Research.  4:197-208. 2005
  • Designing for and Analyzing Results from Field Experiments.  Journal of Crop Improvement.  14:29-50. 2005
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  • Experimental designs with repeated controls 2005
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  • Identifying isoyield environments for field pea production.  Crop Science.  45:106-113. 2005
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  • Resistance to barley scald (Rhynchosporium secalis) in the Ethiopian donor lines ‘Steudelli’ and ‘Jet’, analyzed by partial least squares regression and interval mapping.  Hereditas.  141:166-179. 2004
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  • Additive Main effects and Multiplicative interaction model: II. Theory on shrinkage factors for predicting cell means.  Crop Science.  43:1976-1982. 2003
  • Assessment of genetic diversity in synthetic hexaploid wheats and their Triticum dicoccum and Aegilops tauschii parents using AFLPs and agronomic traits.  Euphytica.  134:305-317. 2003
  • Additive Main Effects and Multiplicative Interaction Model.  Crop Science.  43:1967-1975. 2003
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  • Using Line × Tester Interaction for the Formation of Yellow Maize Synthetics Tolerant to Acid Soils.  Crop Science.  43:1718-1728. 2003
  • Using Line × Tester Interaction for the Formation of Yellow Maize Synthetics Tolerant to Acid Soils.  Crop Science.  43:1718-1728. 2003
  • A Multivariate Method for Classifying Cultivars and Studying Group × Environment × Trait Interaction.  Crop Science.  43:1249-1258. 2003
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  • Comparing a preliminary racial classification with a numerical classification of the maize landraces of Uruguay.  Crop Science.  43:718-727. 2003
  • Dimensions of Diversity in Modern Spring Bread Wheat in Developing Countries from 1965.  Crop Science.  42:1766-1779. 2002
  • Genetic Characterization of CIMMYT Inbred Maize Lines and Open Pollinated Populations Using Large Scale Fingerprinting Methods.  Crop Science.  42:1832-1840. 2002
  • Selection for Resistance to Southwestern Corn Borer Using Marker‐Assisted and Conventional Backcrossing.  Crop Science.  42:1516-1528. 2002
  • The Modified Location Model for Classifying Genetic Resources.  Crop Science.  42:1727-1736. 2002
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  • Data analysis in the CIMMYT applied biotechnology center : for fingerprinting and genetic diversity studies 2002
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  • Relationships among Bread Wheat International Yield Testing Locations in Dry Areas.  Crop Science.  41:1461-1469. 2001
  • Regeneration potential of CIMMYT durum wheat and triticale varieties from immature embryos.  Plant Breeding.  120:291-295. 2001
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  • Combining genotype, environment and attribute variables in regression models for predicting the cell-means of multi-environment cultivar trials.  Theoretical and Applied Genetics.  96:803-811. 1998
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  • Variance effective population size for two-stage sampling of monoecious species.  Crop Science.  37:14-26. 1997
  • Plant regeneration from immature embryos of 48 elite CIMMYT bread wheats..  Theoretical and Applied Genetics.  92:163-169. 1996
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  • A shifted multiplicative model cluster analysis for grouping environments without genotypic rank change.  Theoretical and Applied Genetics.  85:577-586. 1993
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  • AMMI adjustment for statistical analysis of an international wheat yield trial..  Theoretical and Applied Genetics.  81:27-37. 1991
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  • Predicted and realized grain yield responses to full-sib family selection in CIMMYT maize (Zea mays L.) populations..  Theoretical and Applied Genetics.  77:33-38. 1989
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  • Evaluating spatial within plot crop variability for different management practices with an optical sensor? 2007
  • Modeling additive x environment and additive x additive x environment using genetic covariances of relatives of wheat genotypes 2007
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  • Measurements of Representativeness Used in Genetic Resources Conservation and Plant Breeding.  Crop Science. 1912-1921. 2003

• review

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  • A review of deep learning applications for genomic selection.  BMC Genomics. 2021
  • Role of modelling in international crop research: Overview and some case studies.  AGRONOMY-BASEL. 291. 2018
  • Genomic Selection in Plant Breeding: Methods, Models, and Perspectives.  Trends in Plant Science. 961-975. 2017
  • Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.).  Plant Science. 23-36. 2016
  • Genotype × environment interaction for zinc and iron concentration of wheat grain in eastern Gangetic plains of India.  Field Crops Research. 268-277. 2010
  • Wheat genetic resources enhancement by the International Maize and Wheat Improvement Center (CIMMYT).  Genetic Resources and Crop Evolution. 1095-1140. 2008
  • Wheat genetic resources enhancement by the International Maize and Wheat Improvement Center (CIMMYT).  Genetic Resources and Crop Evolution. 1095-1140. 2008
  • Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure.  Genetics. 1889-1913. 2007