Literature DB >> 26235487

Phenotyping in the fields: dissecting the genetics of quantitative traits and digital farming.

Dominik K Großkinsky1, Roland Pieruschka2, Jesper Svensgaard1, Uwe Rascher2, Svend Christensen1, Ulrich Schurr2, Thomas Roitsch1.   

Abstract

Keywords:  agricultural traits; breeding; field phenotyping; high-throughput; noninvasive imaging; physiology; plant phenomics; selection markers

Mesh：

Year:  2015        PMID： 26235487     DOI： 10.1111/nph.13529

Source DB:  PubMed          Journal:  New Phytol        ISSN： 0028-646X            Impact factor:   10.151


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  6 in total

1.  Morphological phenotyping and genetic analyses of a new chemical-mutagenized population of tobacco (Nicotiana tabacum L.).

Authors:  Dawei Wang; Shaomei Wang; Jiangtao Chao; Xinru Wu; Yuhe Sun; Fengxia Li; Jing Lv; Xiaoming Gao; Guanshan Liu; Yuanying Wang
Journal:  Planta       Date:  2017-04-11       Impact factor: 4.116

2.  Chlorophyll a fluorescence, under half of the adaptive growth-irradiance, for high-throughput sensing of leaf-water deficit in Arabidopsis thaliana accessions.

Authors:  Kumud B Mishra; Anamika Mishra; Kateřina Novotná; Barbora Rapantová; Petra Hodaňová; Otmar Urban; Karel Klem
Journal:  Plant Methods       Date:  2016-11-14       Impact factor: 4.993

3.  In-field High Throughput Phenotyping and Cotton Plant Growth Analysis Using LiDAR.

Authors:  Shangpeng Sun; Changying Li; Andrew H Paterson; Yu Jiang; Rui Xu; Jon S Robertson; John L Snider; Peng W Chee
Journal:  Front Plant Sci       Date:  2018-01-22       Impact factor: 5.753

4.  Phenotyping field-state wheat root system architecture for root foraging traits in response to environment×management interactions.

Authors:  Xinxin Chen; Yinian Li; Ruiyin He; Qishuo Ding
Journal:  Sci Rep       Date:  2018-02-08       Impact factor: 4.379

5.  Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production.

Authors:  Alan Bauer; Aaron George Bostrom; Joshua Ball; Christopher Applegate; Tao Cheng; Stephen Laycock; Sergio Moreno Rojas; Jacob Kirwan; Ji Zhou
Journal:  Hortic Res       Date:  2019-06-01       Impact factor: 6.793

6.  Automated stomata detection in oil palm with convolutional neural network.

Authors:  Qi Bin Kwong; Yick Ching Wong; Phei Ling Lee; Muhammad Syafiq Sahaini; Yee Thung Kon; Harikrishna Kulaveerasingam; David Ross Appleton
Journal:  Sci Rep       Date:  2021-07-26       Impact factor: 4.379
  6 in total

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