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Aanandini Ganesalingam

Observed names: Dini Ganesalingam, Ganesalingam, Aanandini, Ganesalingam, Dini
Institution: InterGrain
ORCID: 0000-0002-6989-3252
Observed ORCID: 0000-0002-6989-3252
OpenAlex ID: A5004217310
Factor analytic mixed models for the provision of grower information from national crop variety testing programs
2014 · Alison B. Smith, Aanandini Ganesalingam, et al. · Theoretical and Applied Genetics · 178
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A field and controlled environment evaluation of wheat (Triticum aestivum) adaptation to heat stress
2018 · Paul Telfer, James Edwards, et al. · Field Crops Research · 65
Use of Contemporary Groups in the Construction of Multi-Environment Trial Datasets for Selection in Plant Breeding Programs
2021 · Alison Smith, Aanandini Ganesalingam, et al. · Frontiers in Plant Science · 30
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A bivariate mixed model approach for the analysis of plant survival data
2012 · Aanandini Ganesalingam, Alison B. Smith, et al. · Euphytica · 15
Improving the efficiency of selection in a plant breeding program using information on correlated traits, ancestry and environments
2013 · Ganesalingam, Aanandini · UWA Profiles and Research Repository (UWA) · 4
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Exploring standing genetic variation for barley leaf rust resistance in Australian breeding panel
2026 · Madhav Pandit, Peter Dracatos, et al. · Theoretical and Applied Genetics · 3
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A haplotype‐based approach to explore genotype‐by‐environment interactions for barley yield
2026 · Stephanie M. Brunner, Zachary Aldiss, et al. · The Plant Genome · 1
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OzBarley: A genetic and phenotypic data resource capturing the Australian barley breeding history
2026 · Ute Baumann, Elena Kalashyan, et al. · Scientific Data · 1
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A rapid, high-throughput near-infrared reflectance spectroscopy method for oats (Avena sativa L.) groat percentage measurement
2026 · Duc Doan Nguyen, Haelee Fenton, et al. · Journal of Food Composition and Analysis
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Leveraging synthetic environmental covariates to explore crop genotype by environment interactions
2026 · Stephanie M Brunner, Hans-Peter Piepho, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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From proteome to palate: proteomics-led insights into sensory quality in oats (Avena sativa L.)
2026 · Clare E. O'Lone, Angéla Juhász, et al. · Trends in Food Science & Technology
Oat beta-glucan: health benefits and quantification methods
2026 · Duc Doan Nguyen, Thi Huong Vu, et al. · International Journal of Food Properties
Effect of genotype and environment on alkaloid content and composition as measured by GC-MS
2018 · Aysa Pourvali, Philip G. Kerr, et al.
Characterisation of Australian oat quality using near-infrared reflectance spectroscopy
· Nguyen, Doan, Ung, Kingston, et al. · Murdoch University Research Portal
Works count: 15
Citation count: 297
H-index: 4
I10-index: 4
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