High-throughput phenotyping platforms for pulse crop biofortification

被引:1
|
作者
Madurapperumage, Amod [1 ]
Naser, M. Z. [2 ,3 ]
Boatwright, Lucas [1 ,4 ]
Bridges, William [5 ]
Vandemark, George [6 ]
Thavarajah, Dil [1 ]
机构
[1] Clemson Univ, Plant & Environm Sci, 113 Biosyst Res Complex, Clemson, SC 29631 USA
[2] Clemson Univ, Glenn Dept Civil Engn, Clemson, SC USA
[3] Clemson Univ, AI Res Inst Sci & Engn AIRISE, Clemson, SC USA
[4] Clemson Univ, Adv Plant Technol Program, Clemson, SC USA
[5] Clemson Univ, Sch Math & Stat Sci, Clemson, SC 29634 USA
[6] Washington State Univ, Grain Legume Genet & Physiol Res Unit, Pullman, WA USA
基金
美国食品与农业研究所; 美国农业部; 瑞典研究理事会;
关键词
agronomic traits; high-throughput phenotyping; machine learning; neural networks; nutritional traits; photogrammetry; pulse crops; CICER-ARIETINUM L; INFRARED-SPECTROSCOPY; VEGETATION; PHENOMICS; LENTIL;
D O I
10.1002/ppp3.10568
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Societal Impact StatementPulse crops, including dry pea, lentil, and chickpea, are rich sources of protein, low digestible carbohydrates, and micronutrients. With the increasing demand for plant-based protein with gluten-free and allergen-free foods, pulse crops have become of global importance for meeting the nutritional demand of growing populations. Breeding for nutritional quality is becoming a bottleneck for most breeding programs globally due to the cost of these available tools. Therefore, low-cost, high-throughput phenotyping tools will be a focus of interest for the selection of elite germplasm for cultivar development and gene identification for pulse cultivar development. This publication explains the emerging and future trends of phenotyping tools that are feasible for pulse breeding and improving nutritional quality.SummaryPrecision agriculture tools based on spectroscopic and imaging techniques now contribute to high-throughput phenotyping (HTP) pipelines for nutritional and agronomic traits to speed breeding and selection for cultivar development. Fourier transform mid-infrared (FT-MIR) spectroscopy has been a reliable HTP tool for macro nutritional traits in pulse crops. Hyperspectral, multispectral, and RGB (red-green-blue) imaging with unmanned aerial systems (UAVs) have been developed to measure agronomic traits for cereals, but these techniques have yet to be developed and validated for pulse crops. This review summarizes different phenotyping techniques applied to nutritional and agronomic traits for crop breeding and reviews applications of machine learning tools for optimizing HTP. Pulse crops, including dry pea, lentil, and chickpea, are rich sources of protein, low digestible carbohydrates, and micronutrients. With the increasing demand for plant-based protein with gluten-free and allergen-free foods, pulse crops have become of global importance for meeting the nutritional demand of growing populations. Breeding for nutritional quality is becoming a bottleneck for most breeding programs globally due to the cost of these available tools. Therefore, low-cost, high-throughput phenotyping tools will be a focus of interest for the selection of elite germplasm for cultivar development and gene identification for pulse cultivar development. This publication explains the emerging and future trends of phenotyping tools that are feasible for pulse breeding and improving nutritional quality. image
引用
收藏
页码:49 / 61
页数:13
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