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Plant Genetic Resources for the 21St Century: The OMICS Era

First edition, 2023

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Editorial: Convolutional neural networks and deep learning for crop improvement and production

Frontiers in plant science, 2022-11, Vol.13, p.1079148-1079148

2022

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Editorial: Spectroscopy for crop and product phenotyping

Frontiers in plant science, 2022-11, Vol.13, p.1058333-1058333

2022

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Identification of Weeds Based on Hyperspectral Imaging and Machine Learning

Frontiers in plant science, 2021-01, Vol.11, p.611622

2021

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Predicting the quality of ryegrass using hyperspectral imaging

Plant methods, 2019-06, Vol.15 (1), p.63-63, Article 63

2019

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Prospects for Trifolium Improvement Through Germplasm Characterisation and Pre-breeding in New Zealand and Beyond

Frontiers in plant science, 2021-06, Vol.12, p.653191-653191

2021

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Deterministic and stochastic modelling of impacts from genomic selection and phenomics on genetic gain for perennial ryegrass dry matter yield

Scientific reports, 2021-06, Vol.11 (1), p.13265-13265, Article 13265

2021

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An improved reference genome for Trifolium subterraneum L. provides insight into molecular diversity and intra-specific phylogeny

Frontiers in plant science, 2023-02, Vol.14, p.1103857-1103857

2023

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Editorial: Phenotyping; From Plant, to Data, to Impact and Highlights of the International Plant Phenotyping Symposium - IPPS 2018

Frontiers in plant science, 2020-12, Vol.11, p.618342-618342

2020

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Assessment of Mixed Sward Using Context Sensitive Convolutional Neural Networks

Frontiers in plant science, 2020-02, Vol.11, p.159-159

2020

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Real-time, non-destructive and in-field foliage yield and growth rate measurement in perennial ryegrass ( Lolium perenne L.)

Plant methods, 2019-07, Vol.15 (1), p.72-72, Article 72

2019

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Review: New sensors and data-driven approaches—A path to next generation phenomics

Plant science (Limerick), 2019-05, Vol.282, p.2-10

2019

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The power of phenomics: Improving genebank value and utility

Molecular plant, 2023-07, Vol.16 (7), p.1099-1101

2023

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Identification of Founding Accessions and Patterns of Relatedness and Inbreeding Derived from Historical Pedigree Data in a Red Clover Germplasm Collection in New Zealand

Crop science, 2019-09, Vol.59 (5), p.2100-2108

2019

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Candidate metabolites for methane mitigation in the forage legume biserrula

Agronomy for sustainable development, 2018-06, Vol.38 (3), p.1-10, Article 30

2018

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Identification of Founding Accessions and Patterns of Relatedness and Inbreeding Derived from Historical Pedigree Data in a White Clover Germplasm Collection in New Zealand

Crop science, 2019-09, Vol.59 (5), p.2087-2099

2019

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Camelina (Camelina sativa (L.) Crantz) as an alternative oilseed: molecular and ecogeographic analyses

Genome, 2010-07, Vol.53 (7), p.558

2010

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Climate Change and Adaptation: Planning Future Germplasm Collections

Plant Genetic Resources for the 21St Century, 2023, Vol.1, p.149-155

1, 2023

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Incorporating Genomics Research with Genebank Operations

Plant Genetic Resources for the 21St Century, 2023, Vol.1, p.79-85

1, 2023

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Plant Genetic Resources and Their Values

Plant Genetic Resources for the 21St Century, 2023, Vol.1, p.3-7

1, 2023

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Phenomics for the Improvement of Crop Adaptation

Plant Genetic Resources for the 21St Century, 2023, Vol.1, p.115-129

1, 2023

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Synteny between Homologous Loci among Evolutionarily Related Species: The Case of Forage Legumes

Plant Genetic Resources for the 21St Century, 2023, Vol.1, p.157-172

1, 2023

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Neglected or Orphan Species

Plant Genetic Resources for the 21St Century, 2023, Vol.1, p.133-147

1, 2023

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first genetic maps for subterranean clover (Trifolium subterraneum L.) and comparative genomics with T. pratense L. and Medicago truncatula Gaertn. to identify new molecular markers for breeding

Molecular breeding, 2012-06, Vol.30 (1), p.213-226

2012

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Phylogeny of Cyperaceae Based on DNA Sequence Data–a New rbcL Analysis

Aliso, 2007, Vol.23 (1), p.72-83

2007

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Plant Genetic Resources for the 21St Century: The OMICS Era

Editorial: Convolutional neural networks and deep learning for crop improvement and production

Editorial: Spectroscopy for crop and product phenotyping

Identification of Weeds Based on Hyperspectral Imaging and Machine Learning

Predicting the quality of ryegrass using hyperspectral imaging

Prospects for Trifolium Improvement Through Germplasm Characterisation and Pre-breeding in New Zealand and Beyond

Deterministic and stochastic modelling of impacts from genomic selection and phenomics on genetic gain for perennial ryegrass dry matter yield

An improved reference genome for Trifolium subterraneum L. provides insight into molecular diversity and intra-specific phylogeny

Editorial: Phenotyping; From Plant, to Data, to Impact and Highlights of the International Plant Phenotyping Symposium - IPPS 2018

Assessment of Mixed Sward Using Context Sensitive Convolutional Neural Networks

Real-time, non-destructive and in-field foliage yield and growth rate measurement in perennial ryegrass ( Lolium perenne L.)

Review: New sensors and data-driven approaches—A path to next generation phenomics

The power of phenomics: Improving genebank value and utility

Identification of Founding Accessions and Patterns of Relatedness and Inbreeding Derived from Historical Pedigree Data in a Red Clover Germplasm Collection in New Zealand

Candidate metabolites for methane mitigation in the forage legume biserrula

Identification of Founding Accessions and Patterns of Relatedness and Inbreeding Derived from Historical Pedigree Data in a White Clover Germplasm Collection in New Zealand

Camelina (Camelina sativa (L.) Crantz) as an alternative oilseed: molecular and ecogeographic analyses

Climate Change and Adaptation: Planning Future Germplasm Collections

Incorporating Genomics Research with Genebank Operations

Plant Genetic Resources and Their Values

Phenomics for the Improvement of Crop Adaptation

Synteny between Homologous Loci among Evolutionarily Related Species: The Case of Forage Legumes

Neglected or Orphan Species

first genetic maps for subterranean clover (Trifolium subterraneum L.) and comparative genomics with T. pratense L. and Medicago truncatula Gaertn. to identify new molecular markers for breeding

Phylogeny of Cyperaceae Based on DNA Sequence Data–a New rbcL Analysis

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