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 0009-0003-2927-4590Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
Recent·Most cited
Dinesh Ghimire, Ranjita Thapa, Karl H. Kunze…·Kelly R. Robbins
Yuan Yan, Mathew Baldwin, Jangho Lee…·April Z. Gu
This study introduces TriFlow-Seq, a method combining FACS and 16S rRNA sequencing to identify PHA-PAOs in EBPR systems and soil, revealing new candidates and their ecological roles.
Robert J. Twohey, Clay G. Christenson, Catherine Li…·Anthony J. Studer
This study examines a Zea mays slac1-2 mutant to assess its impact on water use efficiency and agronomic traits, finding no improvement in CO2 assimilation or yield despite increased stomatal conductance.
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.