Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits

Genomic prediction of sugar content and cane yield in sugar cane clones in different stages of selection in a breeding program, with and without pedigree information

(2020) Emily Deomano et al.   MOLECULAR BREEDING

Accelerating Genetic Gain in Sugarcane Breeding Using Genomic Selection

(2020) Seema Yadav et al.   Agronomy-Basel

Early Selection Enabled by the Implementation of Genomic Selection in Coffea arabica Breeding

(2019) Tiago Vieira Sousa et al.   Frontiers in Plant Science

Genetic Variabilities and Genetic Gains for Yield Components in Regional Sugarcane Breeding Programmes on Réunion Island

(2019) Thomas Dumont et al.   Sugar Tech

Early prediction of sugarcane genotypes susceptible and resistant to Diatraea saccharalis using spectroscopies and classification techniques

(2019) Nathália de A. Porto et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Assembly of the 373k gene space of the polyploid sugarcane genome reveals reservoirs of functional diversity in the world's leading biomass crop

(2019) Glaucia Mendes Souza et al.   GigaScience

Training Population Optimization for Genomic Selection

(2019) Inés Berro et al.   Plant Genome

Near infrared spectroscopy: A mature analytical technique with new perspectives – A review

(2018) Celio Pasquini   ANALYTICA CHIMICA ACTA

High-Throughput Precision Phenotyping of the Oil Content of Single Seeds of Various Oilseed Crops

(2018) A. E. Melchinger et al.   CROP SCIENCE

Beyond Genomic Prediction: Combining Different Types ofomicsData Can Improve Prediction of Hybrid Performance in Maize

(2018) Tobias A. Schrag et al.   GENETICS

Genetic Variance Partitioning and Genome-Wide Prediction with Allele Dosage Information in Autotetraploid Potato

(2018) Jeffrey B. Endelman et al.   GENETICS

Translating High-Throughput Phenotyping into Genetic Gain

(2018) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

A mosaic monoploid reference sequence for the highly complex genome of sugarcane

(2018) Olivier Garsmeur et al.   Nature Communications

Combining High-Throughput Phenotyping and Genomic Information to Increase Prediction and Selection Accuracy in Wheat Breeding

(2018) Jared Crain et al.   Plant Genome

Tools for Genetic Studies in Experimental Populations of Polyploids

(2018) Peter M. Bourke et al.   Frontiers in Plant Science

The Challenge of Analyzing the Sugarcane Genome

(2018) Prathima P. Thirugnanasambandam et al.   Frontiers in Plant Science

Beyond Genomic Prediction: Combining Different Types ofomicsData Can Improve Prediction of Hybrid Performance in Maize

(2018) Tobias A. Schrag et al.   GENETICS

Genetic Variance Partitioning and Genome-Wide Prediction with Allele Dosage Information in Autotetraploid Potato

(2018) Jeffrey B. Endelman et al.   GENETICS

The Value of Expanding the Training Population to Improve Genomic Selection Models in Tetraploid Potato

(2018) Elsa Sverrisdóttir et al.   Frontiers in Plant Science

Accelerating crop genetic gains with genomic selection

(2018) Kai Peter Voss-Fels et al.   THEORETICAL AND APPLIED GENETICS

Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives

(2017) Awais Rasheed et al.   Molecular Plant

Accelerating wheat breeding for end-use quality with multi-trait genomic predictions incorporating near infrared and nuclear magnetic resonance-derived phenotypes

(2017) B. J. Hayes et al.   THEORETICAL AND APPLIED GENETICS

Genomic Selection in Plant Breeding: Methods, Models, and Perspectives

(2017) José Crossa et al.   TRENDS IN PLANT SCIENCE

mixOmics: An R package for ‘omics feature selection and multiple data integration

(2017) Florian Rohart et al.   PLoS Computational Biology

High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling

(2017) Kakeru Watanabe et al.   Frontiers in Plant Science

Mixed Modeling of Yield Components and Brown Rust Resistance in Sugarcane Families

(2016) Thiago W. A. Balsalobre et al.   AGRONOMY JOURNAL

Simulated Individual Best Linear Unbiased Prediction versus Mass Selection in Sugarcane Families

(2016) Bruno Portela Brasileiro et al.   CROP SCIENCE

The contribution of dominance to phenotype prediction in a pine breeding and simulated population

(2016) J E de Almeida Filho et al.   HEREDITY

Coming of age: ten years of next-generation sequencing technologies

(2016) Sara Goodwin et al.   NATURE REVIEWS GENETICS

Evaluation of the utility of gene expression and metabolic information for genomic prediction in maize

(2016) Zhigang Guo et al.   THEORETICAL AND APPLIED GENETICS

Bandwagons I, too, have known

(2016) Rex Bernardo   THEORETICAL AND APPLIED GENETICS

Selection in energy cane families

(2016) Luís Cláudio Inácio da Silveira et al.   Crop Breeding and Applied Biotechnology

Software Selegen-REML/BLUP: a useful tool for plant breeding

(2016) Marcos Deon Vilela de Resende   Crop Breeding and Applied Biotechnology

Natural Allelic Variations in Highly Polyploidy Saccharum Complex

(2016) Jian Song et al.   Frontiers in Plant Science

Bayesian regression models outperform partial least squares methods for predicting milk components and technological properties using infrared spectral data

(2015) A. Ferragina et al.   JOURNAL OF DAIRY SCIENCE

Efficiency of selection within sugarcane families via simulated individual BLUP

(2015) Felipe Lopes da Silva et al.   Crop Breeding and Applied Biotechnology

Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes

(2015) Javier Hernandez et al.   Remote Sensing

Path Analysis for Selection of Saccharification-Efficient Sugarcane Genotypes through Agronomic Traits

(2014) David Carlos F. Baffa et al.   AGRONOMY JOURNAL

Estimation of Additive and Nonadditive Genetic Components of Sugarcane Families Using Multitrait Analysis

(2014) Melissa Pisaroglo de Carvalho et al.   AGRONOMY JOURNAL

Genome-Wide Regression and Prediction with the BGLR Statistical Package

(2014) P. Perez et al.   GENETICS

Genetic improvement of sugar cane for bioenergy: the brazilian experience in network research with RIDESA

(2014) Márcio Henrique Pereira Barbosa et al.   Crop Breeding and Applied Biotechnology

A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry

(2013) Cláudia A. Teixeira dos Santos et al.   APPLIED SPECTROSCOPY

Genomic, Marker-Assisted, and Pedigree-BLUP Selection Methods for β-Glucan Concentration in Elite Oat

(2013) Franco G. Asoro et al.   CROP SCIENCE

Selection of families and parents of sugarcane (Saccharum spp.) through mixed models by joint analysis of two harvests

(2013) Hugo Zeni Neto et al.   EUPHYTICA

Genomic prediction in CIMMYT maize and wheat breeding programs

(2013) J Crossa et al.   HEREDITY

Direct Sugar Content Analysis for Whole Stalk Sugarcane Using a Portable near Infrared Instrument

(2013) Eizo Taira et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Nondestructive detection of insect infested chestnuts based on NIR spectroscopy

(2013) Roberto Moscetti et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Experimental assessment of the accuracy of genomic selection in sugarcane

(2013) M. Gouy et al.   THEORETICAL AND APPLIED GENETICS

Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement

(2013) Joshua N. Cobb et al.   THEORETICAL AND APPLIED GENETICS

Breaking with trends in pre-processing?

(2013) Jasper Engel et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Field high-throughput phenotyping: the new crop breeding frontier

(2013) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

Accelerating Improvement of Livestock with Genomic Selection

(2013) Theo Meuwissen et al.   Annual Review of Animal Biosciences

High-throughput Phenotyping and Genomic Selection: The Frontiers of Crop Breeding ConvergeF

(2012) Llorenç Cabrera-Bosquet et al.   Journal of Integrative Plant Biology

Rapid Prediction of the Lignocellulosic Compounds of Sugarcane Biomass by near Infrared Reflectance Spectroscopy: Comparing Classical and Independent Cross-Validation

(2012) Damien Sabatier et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Whole-genome strategies for marker-assisted plant breeding

(2012) Yunbi Xu et al.   MOLECULAR BREEDING

Genomic and metabolic prediction of complex heterotic traits in hybrid maize

(2012) Christian Riedelsheimer et al.   NATURE GENETICS

Efficiency of genomic selection with models including dominance effect in the context of Eucalyptus breeding

(2012) Marie Denis et al.   Tree Genetics & Genomes

Characterization of the Genetic Variability of a Sugarcane Commercial Cross Through Yield Components and Quality Parameters

(2012) M. C. Mancini et al.   Sugar Tech

Genomic selection in plant breeding: from theory to practice

(2011) J.-L. Jannink et al.   Briefings in Functional Genomics

Phenomics – technologies to relieve the phenotyping bottleneck

(2011) Robert T. Furbank et al.   TRENDS IN PLANT SCIENCE

Sugarcane (Saccharum X officinarum): A Reference Study for the Regulation of Genetically Modified Cultivars in Brazil

(2011) Adriana Cheavegatti-Gianotto et al.   Tropical Plant Biology

Fast and accurate long-read alignment with Burrows–Wheeler transform

(2010) Heng Li et al.   BIOINFORMATICS

Near-Infrared Spectroscopy for the Prediction of Disease Ratings for Fiji Leaf Gall in Sugarcane Clones

(2009) Deborah E. Purcell et al.   APPLIED SPECTROSCOPY

The Brazilian experience of sugarcane ethanol industry

(2009) Sizuo Matsuoka et al.   IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-PLANT

Review of the most common pre-processing techniques for near-infrared spectra

(2009) Åsmund Rinnan et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY