Systematic Evaluation of Field Crop Performance Using Modern Phenotyping Tools and Techniques
- 1.7k Downloads
The genetic improvement of field crops through plant breeding and genetic modification is highly dependent on understanding, measuring, selecting, and manipulating phenotypes. Most phenotypes result from the complex interaction of a crop’s genetics with the environment and management practices in which that crop is grown. Linking gene to phenotype in field environments to create superior crop varieties can therefore be challenging, particularly for genetically complex traits that are difficult to measure. This chapter is designed to help readers overcome these difficulties by describing tools and techniques used in successful crop improvement programs. It provides methodologies that can be broadly applied across numerous situations irrespective of field crop, environment, modest financial resources, or other factors. The chapter’s focus is primarily on small- and large-scale, replicated, research plot-based screening trials since these trials are crucial, ubiquitous, and costly for both public- and private-sector crop improvement programs. To ease the understanding of the protocols discussed, this chapter’s materials and methods section is composed of ten subsections, with each subsection covering a critical portion of the field crop phenotyping process: regulatory, environmental, and safety considerations; trait identification and prioritization; environment characterization; field site selection; experimental design; field design, preparation, and management; crop and soil measurements; environmental monitoring; in-field data recording; and data management and analysis.
Key wordsField crop Environment characterization Field selection Experimental design Research plot Phenotyping Secondary trait Remote sensing Unmanned aerial vehicle
The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), United States Department of Energy, under Award Number DE-AR0000593. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the US Government or any agency thereof.
- 7.Reynolds M, Pask A, Pietragalla J (2012) Introduction. In: Pask A, Pietragalla J, Mullan D et al (eds) Physiological breeding II: a field guide to wheat phenotyping. CIMMYT, El BatánGoogle Scholar
- 9.Crossa J (2012) Field experimental designs in agriculture. In: Reynolds M, Pask A, Mullan D (eds) Physiological breeding I: interdisciplinary approaches to improve crop adaptation. CIMMYT, El BatánGoogle Scholar
- 10.Pask A, Pietragalla J (2012) General recommendations for good field practice. In: Pask A, Pietragalla J, Mullan D et al (eds) Physiological breeding II: a field guide to wheat phenotyping. CIMMYT, El BatánGoogle Scholar
- 12.Pietragalla J, Pask A (2012) General recommendations for the use of instruments. In: Pask A, Pietragalla J, Mullan D et al (eds) Physiological breeding II: a field guide to wheat phenotyping. CIMMYT, El BatánGoogle Scholar
- 14.Mullan D (2012) Spectral radiometry. In: Reynolds M, Pask A, Mullan D (eds) Physiological breeding I: interdisciplinary approaches to improve crop adaptation. CIMMYT, El BatánGoogle Scholar
- 16.Lillesand T, Kiefer R, Chipman J (2014) Remote sensing and image interpretation. John Wiley & Sons, HobokenGoogle Scholar