Capturing Spatial Heterogeneity Using UAV-Derived Multispectral Phenotypes and Random Regression Models Improves Genetic Evaluation in Alfalfa Breeding Trials
Dinesh Ghimire, Ranjita Thapa, Karl H. Kunze…·Kelly R. Robbins
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Cornell UniversityORCID 0000-0001-9522-9585Unclaimed ORCID profile · follow to get notified of new preprints
13 papers
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Dinesh Ghimire, Ranjita Thapa, Karl H. Kunze…·Kelly R. Robbins
David Hickok, Awais Khan, Kelly R. Robbins
The paper develops an open-pollinated genetic mapping framework for apples to identify QTL, showing that MLMM outperforms MLM and demonstrating the feasibility of OP-based mapping for faster QTL discovery.
Aimee J Schulz, Martin Bohn, Peter Bradbury…·Kelly R. Robbins
This study examines competitive dynamics in maize varieties and finds limited competition effects, no yield penalty in mixtures, and increased yield stability.
Biructawit Bekele Tessema, C.P. Andrahennadi, Kathleen Poff…·Kelly R. Robbins
The paper evaluates genomic prediction for general combining ability in canola hybrids using different cross-validation strategies and finds varying predictive abilities across traits.
Evan M. Long, Michelle C. Stitzer, Brandon Monier…·Edward S. Buckler
The paper identifies genes under relaxed selection in cassava due to clonal propagation, highlighting pollen-related genes and their implications for breeding.
Ranjita Thapa, Karl H. Kunze, Julie L. Hansen…·Kelly R. Robbins
This study uses multi-spectral imaging to estimate genetic parameters of biomass accumulation and model growth curve stability in alfalfa across different irrigation treatments and cultivars.
Nicolás Morales, Mahlet Teka Anche, Nicholas S. Kaczmar…·Kelly R. Robbins
The paper improves genomic prediction of agronomic traits in maize by integrating spatio-temporal modeling of multi-spectral aerial images with genetic data.
Mao Fang Huang, Kelly R. Robbins, Yaoguang Li…·Jean‐Luc Jannink
The paper applies genomic selection to sugar kelp with a biphasic life cycle, predicting breeding values for gametophytes and achieving moderate prediction accuracy for yield and morphology traits.
Evan M. Long, Peter J. Bradbury, M. Cinta Romay…·Kelly R. Robbins
The paper demonstrates the effectiveness of the Practical Haplotype Graph for genotype imputation in the highly heterozygous crop cassava, achieving higher accuracy than Beagle.
Mao Fang Huang, Kelly R. Robbins, Yaoguang Li…·Jean‐Luc Jannink
This study simulates sugar kelp breeding to identify obstacles to genetic gain and suggests strategies to improve breeding efficiency.
Xiaowei Mao, Simona Augytė, Mao Fang Huang…·Jean‐Luc Jannink
This study analyzes the population genetics of sugar kelp in the Northwest Atlantic using genome-wide markers to assess genetic diversity and detect selection signatures.
Nicholas Santantonio, Kelly R. Robbins
The paper proposes a hybrid optimal contribution approach to balance short-term genetic gains with long-term sustainability in plant breeding programs.
Yaw Nti-Addae, Dave Matthews, Victor Jun Ulat…·Kelly R. Robbins
The paper benchmarks six open-source database systems for genomic selection, finding that HDF5 outperforms others in data extraction speed due to efficient allele matrix handling.