Phenotyping conservation agriculture management effects on ground and aerial remote sensing assessments of maize hybrids performance in Zimbabwe (Record no. 59342)

000 -LEADER
fixed length control field nab a22 7a 4500
001 - CONTROL NUMBER
control field 59342
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190401175714.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180315s2018 sz |||p|op||| 00| 0 eng d
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.3390/rs10020349
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
9 (RLIN) 6248
Personal name Gracia-Romero, A.
245 10 - TITLE STATEMENT
Title Phenotyping conservation agriculture management effects on ground and aerial remote sensing assessments of maize hybrids performance in Zimbabwe
Medium [Electronic Resource]
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Basel, Switzerland :
Name of publisher, distributor, etc. MDPI,
Date of publication, distribution, etc. 2018.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. In the coming decades, Sub-Saharan Africa (SSA) faces challenges to sustainably increase food production while keeping pace with continued population growth. Conservation agriculture (CA) has been proposed to enhance soil health and productivity to respond to this situation. Maize is the main staple food in SSA. To increase maize yields, the selection of suitable genotypes and management practices for CA conditions has been explored using remote sensing tools. They may play a fundamental role towards overcoming the traditional limitations of data collection and processing in large scale phenotyping studies. We present the result of a study in which Red-Green-Blue (RGB) and multispectral indexes were evaluated for assessing maize performance under conventional ploughing (CP) and CA practices. Eight hybrids under different planting densities and tillage practices were tested. The measurements were conducted on seedlings at ground level (0.8 m) and from an unmanned aerial vehicle (UAV) platform (30 m), causing a platform proximity effect on the images resolution that did not have any negative impact on the performance of the indexes. Most of the calculated indexes (Green Area (GA) and Normalized Difference Vegetation Index (NDVI)) were significantly affected by tillage conditions increasing their values from CP to CA. Indexes derived from the RGB-images related to canopy greenness performed better at assessing yield differences, potentially due to the greater resolution of the RGB compared with the multispectral data, although this performance was more precise for CP than CA. The correlations of the multispectral indexes with yield were improved by applying a soil-mask derived from a NDVI threshold with the aim of corresponding pixels with vegetation. The results of this study highlight the applicability of remote sensing approaches based on RGB images to the assessment of crop performance and hybrid choice.
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name Maize CRP
Maize Flagship Projects FP2 - Novel tools, technologies and traits for improving genetic gains and breeding efficiency
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Number of CIMMYT Informa CIMMYT Informa : 2012 (May 3, 2018)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1118
Topical term or geographic name as entry element Food security
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1151
Topical term or geographic name as entry element Hybrids
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1173
Topical term or geographic name as entry element Maize
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1986
Topical term or geographic name as entry element Remote sensing
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 8627
Topical term or geographic name as entry element Multispectral Imagery
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 2619
Topical term or geographic name as entry element Conservation agriculture
Source of heading or term AGROVOC
651 #7 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
9 (RLIN) 4496
Geographic name Zimbabwe
Source of heading or term AGROVOC
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 1438
Personal name Vergara, O.
700 1# - ADDED ENTRY--PERSONAL NAME
Field link and sequence number INT2939
9 (RLIN) 877
Personal name Thierfelder, C.
Miscellaneous information Sustainable Intensification Program
700 1# - ADDED ENTRY--PERSONAL NAME
Field link and sequence number INT2948
9 (RLIN) 879
Personal name Cairns, J.E.
Miscellaneous information Global Maize Program
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 6249
Personal name Kefauver, S.C.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 1436
Personal name Araus, J.L.
773 0# - HOST ITEM ENTRY
Related parts v. 10, no. 2, art. 349
Title Remote Sensing
Record control number u57403
International Standard Serial Number 2072-4292
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through Dspace
Uniform Resource Identifier https://hdl.handle.net/10883/19468
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Article
Suppress in OPAC 0
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Date last seen Price effective from Koha item type
  Not Lost       CIMMYT Staff Publications Collection CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 2018-03-15 2018-03-15 2018-03-15 Article
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Lunes –Viernes 9:00 am. 17:00 pm. Si tiene cualquier pregunta, contáctenos a CIMMYT-Knowledge-Center@cgiar.org