High-Throughput Field-Phenotyping Tools for Plant Breeding and Precision Agriculture

被引:158
作者
Chawade, Aakash [1 ]
van Ham, Joost [2 ]
Blomquist, Hanna [3 ]
Bagge, Oscar [3 ]
Alexandersson, Erik [4 ]
Ortiz, Rodomiro [1 ]
机构
[1] Swedish Univ Agr Sci SLU, Dept Plant Breeding, SE-23053 Alnarp, Sweden
[2] Lund Univ, Dept Biol, SE-22362 Lund, Sweden
[3] IBM Global Business Serv Sweden, SE-16492 Stockholm, Sweden
[4] SLU, Dept Plant Protect Biol, SE-23053 Alnarp, Sweden
来源
AGRONOMY-BASEL | 2019年 / 9卷 / 05期
基金
瑞典研究理事会;
关键词
field phenotyping; precision breeding; precision agriculture; decision support systems; NITROGEN NUTRITION INDEX; VARIABLE-RATE TECHNOLOGY; CROP SURFACE MODELS; VEGETATION INDEXES; CANOPY TEMPERATURE; GENOMIC SELECTION; DISEASE DETECTION; IMAGING SENSORS; LOW-ALTITUDE; POTATO;
D O I
10.3390/agronomy9050258
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
High-throughput field phenotyping has garnered major attention in recent years leading to the development of several new protocols for recording various plant traits of interest. Phenotyping of plants for breeding and for precision agriculture have different requirements due to different sizes of the plots and fields, differing purposes and the urgency of the action required after phenotyping. While in plant breeding phenotyping is done on several thousand small plots mainly to evaluate them for various traits, in plant cultivation, phenotyping is done in large fields to detect the occurrence of plant stresses and weeds at an early stage. The aim of this review is to highlight how various high-throughput phenotyping methods are used for plant breeding and farming and the key differences in the applications of such methods. Thus, various techniques for plant phenotyping are presented together with applications of these techniques for breeding and cultivation. Several examples from the literature using these techniques are summarized and the key technical aspects are highlighted.
引用
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页数:18
相关论文
共 95 条
[1]   Genetical genomics of quality related traits in potato tubers using proteomics [J].
Acharjee, Animesh ;
Chibon, Pierre-Yves ;
Kloosterman, Bjorn ;
America, Twan ;
Renaut, Jenny ;
Maliepaard, Chris ;
Visser, Richard G. F. .
BMC PLANT BIOLOGY, 2018, 18
[2]  
Alexandersson E., 2018, PLANT BIOL EUR C COP, P10
[3]   Field-omics-understanding large-scale molecular data from field crops [J].
Alexandersson, Erik ;
Jacobson, Dan ;
Vivier, Melane A. ;
Weckwerth, Wolfram ;
Andreasson, Erik .
FRONTIERS IN PLANT SCIENCE, 2014, 5
[4]   The adaptation and mitigation potential of traditional agriculture in a changing climate [J].
Altieri, Miguel A. ;
Nicholls, Clara I. .
CLIMATIC CHANGE, 2017, 140 (01) :33-45
[5]   Development and evaluation of a field-based high-throughput phenotyping platform [J].
Andrade-Sanchez, Pedro ;
Gore, Michael A. ;
Heun, John T. ;
Thorp, Kelly R. ;
Carmo-Silva, A. Elizabete ;
French, Andrew N. ;
Salvucci, Michael E. ;
White, Jeffrey W. .
FUNCTIONAL PLANT BIOLOGY, 2014, 41 (01) :68-79
[6]  
Andrianto H, 2017, INT C INF TECH SYST, P392, DOI 10.1109/ICITSI.2017.8267976
[7]   A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding [J].
Bai, Geng ;
Ge, Yufeng ;
Hussain, Waseem ;
Baenziger, P. Stephen ;
Graef, George .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2016, 128 :181-192
[8]   High-Throughput Field Phenotyping of Leaves, Leaf Sheaths, Culms and Ears of Spring Barley Cultivars at Anthesis and Dough Ripeness [J].
Barmeier, Gero ;
Schmidhalter, Urs .
FRONTIERS IN PLANT SCIENCE, 2017, 8
[9]   High-Throughput Phenotyping of Wheat and Barley Plants Grown in Single or Few Rows in Small Plots Using Active and Passive Spectral Proximal Sensing [J].
Barmeier, Gero ;
Schmidhalter, Urs .
SENSORS, 2016, 16 (11)
[10]   New Strategies and Tools in Quantitative Genetics: How to Go from the Phenotype to the Genotype [J].
Bazakos, Christos ;
Hanemian, Mathieu ;
Trontin, Charlotte ;
Jimenez-Gomez, Jose M. ;
Loudet, Olivier .
ANNUAL REVIEW OF PLANT BIOLOGY, VOL 68, 2017, 68 :435-455