Plant Biology

Pseudo-chromosome–length genome assembly of a double haploid “Bartlett” pear ( Pyrus communis L.)

1. Gareth Linsmith
2. Stephane Rombauts
3. Sara Montanari
4. Cecilia H Deng
5. Jean-Marc Celton
6. Philippe Guérif
7. Chang Liu
8. Rolf Lohaus
9. Jason D Zurn
10. Alessandro Cestaro
11. Nahla V Bassil
12. Linda V Bakker
13. Elio Schijlen
14. Susan E Gardiner
15. Yves Lespinasse
16. Charles-Eric Durel
17. Riccardo Velasco
18. David B Neale
19. David Chagné
20. Yves Van de Peer
21. Michela Troggio
22. Luca Bianco

Reviewed by GigaScience

Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies

1. Jonathan A. Atkinson
2. Guillaume Lobet
3. Manuel Noll
4. Patrick E. Meyer
5. Marcus Griffiths
6. Darren M. Wells

Reviewed by GigaScience

Morphometric analysis of Passiflora leaves: the relationship between landmarks of the vasculature and elliptical Fourier descriptors of the blade

1. Daniel H. Chitwood
2. Wagner C. Otoni

Reviewed by GigaScience

ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture

1. Nicolás Gaggion
2. Federico Ariel
3. Vladimir Daric
4. Éric Lambert
5. Simon Legendre
6. Thomas Roulé
7. Alejandra Camoirano
8. Diego H Milone
9. Martin Crespi
10. Thomas Blein
11. Enzo Ferrante

Reviewed by GigaScience

Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry

1. Mitchell J Feldmann
2. Michael A Hardigan
3. Randi A Famula
4. Cindy M López
5. Amy Tabb
6. Glenn S Cole
7. Steven J Knapp

Reviewed by GigaScience

CropSight: a scalable and open-source information management system for distributed plant phenotyping and IoT-based crop management

1. Daniel Reynolds
2. Joshua Ball
3. Alan Bauer
4. Robert Davey
5. Simon Griffiths
6. Ji Zhou

Reviewed by GigaScience

Arabidopsis phenotyping through Geometric Morphometrics

1. Carlos A. Manacorda
2. Sebastian Asurmendi

Reviewed by GigaScience

Conventional and hyperspectral time-series imaging of maize lines widely used in field trials

1. Zhikai Liang
2. Piyush Pandey
3. Vincent Stoerger
4. Yuhang Xu
5. Yumou Qiu
6. Yufeng Ge
7. James C. Schnable

Reviewed by GigaScience

Circadian rhythms have significant effects on leaf-to-canopy gas exchange under field conditions

1. Víctor Resco de Dios
2. Arthur Gessler
3. Juan Pedro Ferrio
4. Josu G Alday
5. Michael Bahn
6. Jorge del Castillo
7. Sébastien Devidal
8. Sonia García-Muñoz
9. Zachary Kayler
10. Damien Landais
11. Paula Martín
12. Alexandru Milcu
13. Clément Piel
14. Karin Pirhofer-Walzl
15. Olivier Ravel
16. Serajis Salekin
17. David T Tissue
18. Mark G Tjoelker
19. Jordi Voltas
20. Jacques Roy

Reviewed by GigaScience

Association analyses of host genetics, root-colonizing microbes, and plant phenotypes under different nitrogen conditions in maize

1. Michael A Meier
2. Gen Xu
3. Martha G Lopez-Guerrero
4. Guangyong Li
5. Christine Smith
6. Brandi Sigmon
7. Joshua R Herr
8. James R Alfano
9. Yufeng Ge
10. James C Schnable
11. Jinliang Yang

• Curated by eLife

  Evaluation Summary:

  The authors have produced a rich dataset that illuminates how root-associated bacteria differ among diverse maize lines, under low and high nitrogen treatment. The authors make use of this dataset to describe interesting patterns related to the genetic architecture of factors associated with maize rhizosphere microbiome assembly, although it is not clear yet whether the microbiome is an agent of natural selection in this case, or whether other selective forces shape maize roots in a manner that in turn affect smicrobiome recruitment. In addition to interesting insights reported in the present manuscript, these data are likely to be used for and/or compared to, in many future studies.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 agreed to share their name with the authors.)

Reviewed by eLife