Temporal covariance structure of multi-spectral phenotypes and their predictive ability for end-of-season traits in maize

Assessment of maize yield and phenology by drone-mounted superspectral camera

(2019) Ittai Herrmann et al.   PRECISION AGRICULTURE

Predicting Zea mays Flowering Time, Yield, and Kernel Dimensions by Analyzing Aerial Images

(2019) Guosheng Wu et al.   Frontiers in Plant Science

What is cost-efficient phenotyping? Optimizing costs for different scenarios

(2018) Daniel Reynolds et al.   PLANT SCIENCE

Multitrait, Random Regression, or Simple Repeatability Model in High-Throughput Phenotyping Data Improve Genomic Prediction for Wheat Grain Yield

(2017) Jin Sun et al.   Plant Genome

A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding

(2016) Geng Bai et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Development and Deployment of a Portable Field Phenotyping Platform

(2016) Jared L. Crain et al.   CROP SCIENCE

A Direct Comparison of Remote Sensing Approaches for High-Throughput Phenotyping in Plant Breeding

(2016) Maria Tattaris et al.   Frontiers in Plant Science

Limitations of GCTA as a solution to the missing heritability problem

(2015) Siddharth Krishna Kumar et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Genomic Heritability: What Is It?

(2015) Gustavo de los Campos et al.   PLoS Genetics

Assessing the Robustness of Vegetation Indices to Estimate Wheat N in Mediterranean Environments

(2014) Davide Cammarano et al.   Remote Sensing

Considerations When Deploying Canopy Temperature to Select High Yielding Wheat Breeding Lines under Drought and Heat Stress

(2014) R. Mason et al.   Agronomy-Basel

BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding

(2013) Lucas Busemeyer et al.   SENSORS

Analysis of longitudinal data of Nellore cattle from performance test at pasture using random regression model

(2012) Fernando Brito Lopes et al.   SpringerPlus

Random regression analyses using B-spline functions to model growth of Nellore cattle

(2011) A. A. Boligon et al.   Animal

Review Genetic analysis of longitudinal data in beef cattle: a review

(2010) S.E. Speidel et al.   GENETICS AND MOLECULAR RESEARCH

Value of Using Different Vegetative Indices to Quantify Agricultural Crop Characteristics at Different Growth Stages under Varying Management Practices

(2010) Jerry L. Hatfield et al.   Remote Sensing

Selection of locations of knots for linear splines in random regression test-day models

(2009) J. Jamrozik et al.   JOURNAL OF ANIMAL BREEDING AND GENETICS

Comparison of Random Regression Models with Legendre Polynomials and Linear Splines for Production Traits and Somatic Cell Score of Canadian Holstein Cows

(2008) J. Bohmanova et al.   JOURNAL OF DAIRY SCIENCE

Efficient Methods to Compute Genomic Predictions

(2008) P.M. VanRaden   JOURNAL OF DAIRY SCIENCE