Knowledge Center Catalog

Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize (Record no. 68629)

MARC details
000 -LEADER
fixed length control field 04399nab|a22004577a|4500
001 - CONTROL NUMBER
control field 68629
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251222083445.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20252s2025||||mx |||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1471-2229
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1186/s12870-025-06135-3
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Kulai Amadu Manigben
9 (RLIN) 34317
245 10 - TITLE STATEMENT
Title Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. BioMed Central Ltd.,
Date of publication, distribution, etc. 2025.
Place of publication, distribution, etc. United Kingdom :
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Background: Drought is a major abiotic stress in sub-Saharan Africa, impacting maize growth and development leading to severe yield loss. Drought tolerance is a complex trait regulated by multiple genes, making direct grain yield selection ineffective. To dissect the genetic architecture of grain yield and flowering traits under drought stress, a genome-wide association study (GWAS) was conducted on a panel of 236 maize lines testcrossed and evaluated under managed drought and optimal growing conditions in multiple environments using seven multi-locus GWAS models (mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, pKWmEB, ISIS EM-BLASSO, and FARMCPU) from mrMLM and GAPIT R packages. Genomic prediction with RR-BLUP model was applied on BLUEs across locations under optimum and drought conditions. Results: A total of 172 stable and reliable quantitative trait nucleotides (QTNs) were identified, of which 77 are associated with GY, AD, SD, ASI, PH, EH, EPO and EPP under drought and 95 are linked to GY, AD, SD, ASI, PH, EH, EPO and EPP under optimal conditions. Among these QTNs, 17 QTNs explained over 10% of the phenotypic variation (R2 >= 10%). Furthermore, 43 candidate genes were discovered and annotated. Two major candidate genes, Zm00001eb041070 closely associated with grain yield near peak QTN, qGY_DS1.1 (S1_216149215) and Zm00001eb364110 closely related to anthesis-silking interval near peak QTN, qASI_DS8.2 (S8_167256316) were identified, encoding AP2-EREBP transcription factor 60 and TCP-transcription factor 20, respectively under drought stress. Haplo-pheno analysis identified superior haplotypes for qGY_DS1.1 (S1_216149215) associated with the higher grain yield under drought stress. Genomic prediction revealed moderate to high prediction accuracies under optimum and drought conditions. Conclusion: The lines carrying superior haplotypes can be used as potential donors in improving grain yield under drought stress. Integration of genomic selection with GWAS results leads not only to an increase in the prediction accuracy but also to validate the function of the identified candidate genes as well increase in the accumulation of favorable alleles with minor and major effects in elite breeding lines. This study provides valuable insight into the genetic architecture of grain yield and secondary traits under drought stress.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Kulai Amadu Manigben : Not in IRS staff list but CIMMYT Affiliation
597 ## - CGIAR Initiative
Donor or Funder Bill & Melinda Gates Foundation (BMGF)
-- Foundation for Food & Agriculture Research (FFAR)
-- United States Agency for International Development (USAID)
Program & Accelerators Breeding for Tomorrow
CGSpace handle https://hdl.handle.net/10568/179114
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Maize
Source of heading or term AGROVOC
9 (RLIN) 1173
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Yields
Source of heading or term AGROVOC
9 (RLIN) 1313
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Drought
Source of heading or term AGROVOC
9 (RLIN) 1080
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genome-wide association studies
Source of heading or term AGROVOC
9 (RLIN) 31443
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Haplotypes
Source of heading or term AGROVOC
9 (RLIN) 22051
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Forecasting
Source of heading or term AGROVOC
9 (RLIN) 2701
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Beyene, Y.
Miscellaneous information Global Maize Program
Field link and sequence number INT2891
9 (RLIN) 870
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chaikam, V.
Miscellaneous information Global Maize Program
Field link and sequence number INT3356
9 (RLIN) 936
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tongoona, P.B.
Field link and sequence number 001713456
Miscellaneous information Formerly Excellence in Breeding
9 (RLIN) 340
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Danquah, E.
9 (RLIN) 6758
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ifie, B.E.
9 (RLIN) 9175
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Burgueño, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number INT3239
9 (RLIN) 907
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Prasanna, B.M.
Miscellaneous information Global Maize Program
-- Borlaug Institute for South Asia
Field link and sequence number INT3057
9 (RLIN) 887
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gowda, M.
Miscellaneous information Global Maize Program
Field link and sequence number I1705963
9 (RLIN) 795
773 0# - HOST ITEM ENTRY
Title BMC Plant Biology
Related parts v. 25, no. 1, art. 135
Place, publisher, and date of publication United Kingdom : BioMed Central Ltd, 2025.
International Standard Serial Number 1471-2229
Record control number G79387
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/35526
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
02/11/2025   02/11/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 02/11/2025

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