Genetic diversity among early provitamin A quality protein maize inbred lines and the performance of derived hybrids under contrasting nitrogen environments.


Journal

BMC genetics
ISSN: 1471-2156
Titre abrégé: BMC Genet
Pays: England
ID NLM: 100966978

Informations de publication

Date de publication:
18 07 2020
Historique:
received: 08 02 2019
accepted: 12 07 2020
entrez: 20 7 2020
pubmed: 20 7 2020
medline: 30 3 2021
Statut: epublish

Résumé

Information on population structure and genetic diversity of germplasm in a breeding programme is useful because it enhances judicious utilisation of genetic resources to achieve breeding objectives. Seventy early maturing provitamin A (PVA) quality protein maize (QPM) inbreds developed by the IITA- maize improvement programme were genotyped using 8171 DArTseq markers. Furthermore, 96 hybrids derived from 24 selected inbreds plus four checks were evaluated under low-N and optimal environments in Nigeria during 2016 and 2017. Genotypic and phenotypic data of inbreds and hybrids respectively, were analysed to (i) assess the level of genetic dissimilarities and population structure of the inbreds, and (ii) investigate the grain yield performance of derived hybrids under low-N, optimal and across environments. Genetic diversity among the seventy inbreds was high varying from 0.042 to 0.500 with an average of 0.357. Sixty-six inbred lines with probabilities ≥0.70 were assigned to a single group. The population structure analysis, the UPGMA phylogeny, and the principal Coordinate Analysis (PCoA) of the DArTseq markers revealed a clear separation of five groups and each followed pedigree records. Clustered inbreds displayed common characteristics including high PVA levels, and drought and low-N tolerance. The top performing hybrid, TZEIORQ 40 × TZEIORQ 26 out-yielded the best hybrid control, TZEIOR 127 × TZEIOR 57 by 8, 3, and 9% under low-N, optimal, and across environments, respectively. High repeatability estimates were detected for grain yield under each and across environments. Similarly, high breeding efficiency of 71, 70 and 72% were computed under low-N, optimal, and across environments, respectively. The UPGMA clustering, the structure analysis, and the PCoA consistently revealed five groups which largely followed pedigree information indicating the existence of genetically distinct groups in the inbred lines. High repeatability and breeding efficiency values estimated for grain yield of hybrids under low-N, optimal and across environments demonstrated that high productive hybrids could be developed using inbreds from the opposing clusters identified by the DArTseq markers. The 15 top performing hybrids identified, particularly TZEIORQ 40 × TZEIORQ 26 and TZEIORQ 29 × TZEIORQ 43 should be further evaluated for release and commercialization in SSA.

Sections du résumé

BACKGROUND
Information on population structure and genetic diversity of germplasm in a breeding programme is useful because it enhances judicious utilisation of genetic resources to achieve breeding objectives. Seventy early maturing provitamin A (PVA) quality protein maize (QPM) inbreds developed by the IITA- maize improvement programme were genotyped using 8171 DArTseq markers. Furthermore, 96 hybrids derived from 24 selected inbreds plus four checks were evaluated under low-N and optimal environments in Nigeria during 2016 and 2017. Genotypic and phenotypic data of inbreds and hybrids respectively, were analysed to (i) assess the level of genetic dissimilarities and population structure of the inbreds, and (ii) investigate the grain yield performance of derived hybrids under low-N, optimal and across environments.
RESULTS
Genetic diversity among the seventy inbreds was high varying from 0.042 to 0.500 with an average of 0.357. Sixty-six inbred lines with probabilities ≥0.70 were assigned to a single group. The population structure analysis, the UPGMA phylogeny, and the principal Coordinate Analysis (PCoA) of the DArTseq markers revealed a clear separation of five groups and each followed pedigree records. Clustered inbreds displayed common characteristics including high PVA levels, and drought and low-N tolerance. The top performing hybrid, TZEIORQ 40 × TZEIORQ 26 out-yielded the best hybrid control, TZEIOR 127 × TZEIOR 57 by 8, 3, and 9% under low-N, optimal, and across environments, respectively. High repeatability estimates were detected for grain yield under each and across environments. Similarly, high breeding efficiency of 71, 70 and 72% were computed under low-N, optimal, and across environments, respectively.
CONCLUSIONS
The UPGMA clustering, the structure analysis, and the PCoA consistently revealed five groups which largely followed pedigree information indicating the existence of genetically distinct groups in the inbred lines. High repeatability and breeding efficiency values estimated for grain yield of hybrids under low-N, optimal and across environments demonstrated that high productive hybrids could be developed using inbreds from the opposing clusters identified by the DArTseq markers. The 15 top performing hybrids identified, particularly TZEIORQ 40 × TZEIORQ 26 and TZEIORQ 29 × TZEIORQ 43 should be further evaluated for release and commercialization in SSA.

Identifiants

pubmed: 32682388
doi: 10.1186/s12863-020-00887-7
pii: 10.1186/s12863-020-00887-7
pmc: PMC7368723
doi:

Substances chimiques

Provitamins 0
Vitamin A 11103-57-4
Nitrogen N762921K75

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

78

Subventions

Organisme : Bill and Melinda Gates Foundation
ID : OPP1134248
Pays : International

Références

BMC Plant Biol. 2018 Apr 19;18(1):66
pubmed: 29673320
Theor Appl Genet. 2010 May;120(7):1289-99
pubmed: 20063144
PLoS Genet. 2006 Dec;2(12):e190
pubmed: 17194218
BMC Genet. 2014 Nov 25;15:127
pubmed: 25421948
BMC Genomics. 2012 Mar 25;13:113
pubmed: 22443094
Genetics. 2000 Jun;155(2):945-59
pubmed: 10835412
Theor Appl Genet. 2009 Dec;120(1):93-115
pubmed: 19823800
Genetica. 2011 Aug;139(8):1045-54
pubmed: 21904888
Genet Res Int. 2015;2015:431487
pubmed: 25874132
Genetics. 2001 Oct;159(2):699-713
pubmed: 11606545
Bioinformatics. 2012 Oct 1;28(19):2537-9
pubmed: 22820204
Bioinformatics. 2005 May 1;21(9):2128-9
pubmed: 15705655
BMC Genomics. 2016 Aug 31;17:697
pubmed: 27581193
Genetics. 2003 Dec;165(4):2117-28
pubmed: 14704191
Mol Ecol. 2005 Jul;14(8):2611-20
pubmed: 15969739
Science. 2009 Nov 20;326(5956):1115-7
pubmed: 19965431
BMC Plant Biol. 2015 Oct 24;15:256
pubmed: 26496865
Science. 2009 Nov 20;326(5956):1112-5
pubmed: 19965430
PLoS One. 2011 May 04;6(5):e19379
pubmed: 21573248
Bioinformatics. 2007 Oct 1;23(19):2633-5
pubmed: 17586829

Auteurs

Ebenezer Obeng-Bio (E)

CSIR- Crops Research Institute, P. O. Box 3785, Fumesua, Kumasi, Ghana.

Baffour Badu-Apraku (B)

International Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Rd, Ibadan, Nigeria. b.badu-apraku@cgiar.org.

Beatrice Elohor Ifie (BE)

West Africa Center for Crop Improvement (WACCI), University of Ghana, PBM 30 Legon, Accra, Ghana.

Agyemang Danquah (A)

West Africa Center for Crop Improvement (WACCI), University of Ghana, PBM 30 Legon, Accra, Ghana.

Essie Takyiwaa Blay (ET)

West Africa Center for Crop Improvement (WACCI), University of Ghana, PBM 30 Legon, Accra, Ghana.

Mustapha Abu Dadzie (MA)

Cocoa Research Institute of Ghana, P.O. Box 8, New Tafo Akim, Ghana.

Gilbert Tchala Noudifoulè (GT)

Institut Togolais de Recherche Agronomique (ITRA), B.P 1163/ Lomé Cacaveli, Lomé, Togo.

Abidemi Olutayo Talabi (AO)

International Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Rd, Ibadan, Nigeria.

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