Multipronged Phenotyping Approaches to Characterize Sugarcane Root Systems

被引:1
|
作者
Vengavasi, Krishnapriya [1 ]
Raja, Arun Kumar [1 ]
Srinivasavedantham, Vasantha [1 ]
Hari, K. [1 ]
Arumuganathan, T. [1 ]
Suresha, G. S. [1 ]
Durai, Anna A. [2 ]
Chandran, K. [3 ]
Nisha, M. [3 ]
Pooja, D. [4 ]
机构
[1] Indian Council Agr Res, Sugarcane Breeding Inst ICAR SBI, Div Crop Prod, Coimbatore, Tamil Nadu, India
[2] ICAR SBI, Div Crop Improvement, Coimbatore, Tamil Nadu, India
[3] ICAR SBI Res Ctr, Coimbatore, Tamil Nadu, India
[4] ICAR SBI Reg Ctr, Coimbatore, Tamil Nadu, India
来源
关键词
LENGTH DENSITY; GROWTH; RESPONSES;
D O I
10.3791/63596
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Roots are the primary conductors of water and nutrients and play a vital role in sustaining growth and yield under stressful environments. The study of plant roots poses methodological difficulties in in situ assessment and sampling, which is especially true for sugarcane (Saccharum spp.). Traditional methods during the 1920s documented the genotypic variation in sugarcane root systems, after which few studies were reported on sugarcane root traits per se until recently. In addition to morphology, rhizosphere characteristics, including allelopathic effects and/or affinity for microbial symbiosis, determine plant establishment and survival. Ultimately, root systems define the above-ground productivity of sugarcane. With the impetus for climate-resilient varieties, it is becoming more relevant to explore and utilize the variability in root system traits of sugarcane. This paper describes multipronged approaches for sugarcane root phenotyping, including field excavation by trench sampling, the use of a root core sampler, raised platforms for root sampling, and raising plants under hydroponic culture, employed by a team of scientists at the Indian Council of Agricultural Research-Sugarcane Breeding Institute (ICAR-SBI). Field excavation by trench sampling is imperative to assess the plant roots in their natural growing environment. The use of raised platforms simulating field conditions and a root core sampler are alternative approaches, with a considerable reduction in time, uniform sample size, and less loss of root material. Hydroponic plant culture allows the study of morphology, anatomical features, and rhizosphere biology, including the exudation of organic compounds and microbial interactions. Data generated from different experiments using diverse sampling methods add to the wealth of information on the root system traits of sugarcane.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Using digital phenotyping to characterize psychosocial trajectories for people with burn injury
    Deng, Huan
    Abouzeid, Cailin A.
    Shepler, Lauren J.
    Taylor, J. Andrew
    Slavin, Mary D.
    Kazis, Lewis E.
    Mercier, Hannah W.
    Herrera-Escobar, Juan P.
    Ryan, Colleen M.
    Schneider, Jeffrey C.
    BURNS, 2022, 48 (05) : 1262 - +
  • [42] Estimating root water use in sugarcane
    VanAntwerpen, R
    McGlinchey, M
    InmanBamber, NG
    Bennie, ATP
    SOUTH AFRICAN SUGAR TECHNOLOGISTS' ASSOCIATION - PROCEEDINGS OF THE SEVENTIETH ANNUAL CONGRESS, 1996, : 57 - 58
  • [43] A TECHNIQUE FOR STUDYING ROOT EXUDATES OF SUGARCANE
    MILLS, JT
    VLITOS, AJ
    PHYTOPATHOLOGY, 1967, 57 (01) : 8 - &
  • [44] PROBING GENETIC DIVERSITY TO CHARACTERIZE RED ROT RESISTANCE IN SUGARCANE
    Mumtaz, Abdul Samad
    Dur-e-Nayab
    Iqbal, Muhammad Javed
    Shinwari, Zabta Khan
    PAKISTAN JOURNAL OF BOTANY, 2011, 43 (05) : 2513 - 2517
  • [45] Heuristics with novel approaches for cyclical multiple parallel machine scheduling in sugarcane unloading systems
    Kusoncum, Chuleeporn
    Sethanan, Kanchana
    Pitakaso, Rapeepan
    Hartl, Richard F.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (08) : 2479 - 2497
  • [46] Editorial - Novel approaches to phenotyping drug abuse
    Conway, KP
    Compton, WM
    Miller, PM
    ADDICTIVE BEHAVIORS, 2006, 31 (06) : 923 - 928
  • [47] A method to characterize root morphology traits in alfalfa
    Lamb, JFS
    Johnson, LD
    Barnes, DK
    Marquez-Ortiz, JJ
    CANADIAN JOURNAL OF PLANT SCIENCE, 2000, 80 (01) : 97 - 104
  • [48] Machine Learning Approaches to High Throughput Phenotyping
    Gao, Morgan
    ACCELERATING SCIENCE AND ENGINEERING DISCOVERIES THROUGH INTEGRATED RESEARCH INFRASTRUCTURE FOR EXPERIMENT, BIG DATA, MODELING AND SIMULATION, SMC 202, 2022, 1690 : 303 - 316
  • [49] Shaping root system architecture: holobiont-based phenotyping for root traits
    K. H. Dhanyalakshmi
    Rachana K. Pawar
    G. Aishwarya
    M. S. Ayesha
    Karaba N. Nataraja
    Plant Physiology Reports, 2024, 29 (4) : 716 - 725
  • [50] Assessing univariate facial phenotyping approaches in GWAS
    Yuan, Meng
    Goovaerts, Seppe
    Vanneste, Michiel
    Matthews, Harrold
    Hoskens, Hanne
    Klein, Ophir
    Spritz, Richard
    Hallgrimsson, Benedikt
    Walsh, Susan
    Shriver, Mark
    Shaffer, John
    Weinberg, Seth
    Peeters, Hilde
    Claes, Peter
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2024, 32 : 774 - 775