Knowledge Center Catalog

Spectral characterization and discrimination of sorghum (Sorghum bicolor (L.) Moench) cultivars for remote sensing-based phenotyping and selection (Record no. 68667)

MARC details
000 -LEADER
fixed length control field 03040nab|a22003617a|4500
001 - CONTROL NUMBER
control field 68667
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251222164159.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20251s2025||||mx |||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0255-660X
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0974-3006 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1007/s12524-025-02130-1
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chidoko, P.
9 (RLIN) 38553
245 10 - TITLE STATEMENT
Title Spectral characterization and discrimination of sorghum (Sorghum bicolor (L.) Moench) cultivars for remote sensing-based phenotyping and selection
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. India :
Name of publisher, distributor, etc. Indian Society of Remote Sensing,
Date of publication, distribution, etc. 2025.
500 ## - GENERAL NOTE
General note Peer review
520 ## - SUMMARY, ETC.
Summary, etc. Remote sensing has immense potential for high throughput phenotyping of agronomic and physiological traits that can be used in the selection of elite lines for productivity and adaptability in crop breeding programs. This is critical for important crops such as sorghum that are important for food security and livelihoods of millions of people in the world. The aim of this study was therefore to use remote sensing for spectral characterization and discrimination of 20 sorghum cultivars that are produced and grown in Southern Africa. Spectral reflectance indices (SRIs) were used in detecting variations in morphological traits (leaf length, leaf width, leaf area, plant height, number of leaves and chlorophyll) at vegetative and maturity growth stages. Our results showed that the morphological traits were all higher at maturity stage than at vegetative stage as expected but varied widely between the evaluated cultivars. Of the 29 indices, 12 and 19 of the evaluated vegetation indices showed significant differences between cultivars (p < 0.05) at vegetative and maturity stages, respectively. There was a significant relationship (p < 0.05) between morphological traits and SRIs, which were dominantly moderate at both stages. There were distinct differences between hybrids and open-pollinated (OPVs) varieties at maturity stage, with high reflectance observed from OPVs in the visible and near-infrared regions of the spectrum. Three principal components identified four indices with high discrimination ability among sorghum genotypes. We conclude that there is great potential for spectral data to be used in phenotyping and cultivar selection in sorghum crop improvement.
546 ## - LANGUAGE NOTE
Language note Text in English
597 ## - CGIAR Initiative
Program & Accelerators Breeding for Tomorrow
Donor or Funder Great Zimbabwe University (GZU)
CGSpace handle https://hdl.handle.net/10568/179220
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Varieties
Source of heading or term AGROVOC
9 (RLIN) 1303
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element High-throughput phenotyping
Source of heading or term AGROVOC
9 (RLIN) 30900
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Phenotyping
Source of heading or term AGROVOC
9 (RLIN) 1437
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Sorghum
Source of heading or term AGROVOC
9 (RLIN) 2002
650 #y - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Remote sensing
Source of heading or term AGROVOC
9 (RLIN) 1986
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mhike, X.
Field link and sequence number 001713025
Miscellaneous information Global Maize Program
9 (RLIN) 5285
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chemura, A.
9 (RLIN) 37575
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Manyanga, M.
9 (RLIN) 38554
773 0# - HOST ITEM ENTRY
Title Journal of the Indian Society of Remote Sensing
Place, publisher, and date of publication India : Indian Society of Remote Sensing, 2025
International Standard Serial Number 0255-660X
Related parts v. 53, p. 3551–3563
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Suppress in OPAC No
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
03/02/2025   03/02/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 03/02/2025

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