Cargando…

Genetic trends for yield and key agronomic traits in pre-commercial and commercial maize varieties between 2008 and 2020 in Uganda

Estimating genetic gains is vital to optimize breeding programs for increased efficiency. Genetic gains should translate into productivity gains if returns to investments in breeding and impact are to be realized. The objective of this study was to estimate genetic gain for grain yield and key agron...

Descripción completa

Detalles Bibliográficos
Autores principales: Asea, Godfrey, Kwemoi, Daniel Bomet, Sneller, Clay, Kasozi, Charles L., Das, Biswanath, Musundire, Lennin, Makumbi, Dan, Beyene, Yoseph, Prasanna, Boddupalli M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036907/
https://www.ncbi.nlm.nih.gov/pubmed/36968404
http://dx.doi.org/10.3389/fpls.2023.1020667
_version_ 1784911763272105984
author Asea, Godfrey
Kwemoi, Daniel Bomet
Sneller, Clay
Kasozi, Charles L.
Das, Biswanath
Musundire, Lennin
Makumbi, Dan
Beyene, Yoseph
Prasanna, Boddupalli M.
author_facet Asea, Godfrey
Kwemoi, Daniel Bomet
Sneller, Clay
Kasozi, Charles L.
Das, Biswanath
Musundire, Lennin
Makumbi, Dan
Beyene, Yoseph
Prasanna, Boddupalli M.
author_sort Asea, Godfrey
collection PubMed
description Estimating genetic gains is vital to optimize breeding programs for increased efficiency. Genetic gains should translate into productivity gains if returns to investments in breeding and impact are to be realized. The objective of this study was to estimate genetic gain for grain yield and key agronomic traits in pre-commercial and commercial maize varieties from public and private breeding programs tested in (i) national performance trials (NPT), (ii) era trial and, (iii) compare the trends with the national average. The study used (i) historical NPT data on 419 improved maize varieties evaluated in 23 trials at 6-8 locations each between 2008 and 2020, and (ii) data from an era trial of 54 maize hybrids released between 1999 and 2020. The NPT data was first analyzed using a mixed model and resulting estimate for each entry was regressed onto its first year of testing. Analysis was done over all entries, only entries from National Agricultural Research Organization (NARO), International Maize and Wheat Improvement Center (CIMMYT), or private seed companies. Estimated genetic gain was 2.25% or 81 kg ha(-1) year(-1) from the NPT analysis. A comparison of genetic trends by source indicated that CIMMYT entries had a gain of 1.98% year(-1) or 106 kg ha(-1) year(-1). In contrast, NARO and private sector maize entries recorded genetic gains of 1.30% year(-1) (59 kg ha(-1) year(-1)) and 1.71% year(-1) (79 kg ha(-1) year(-1)), respectively. Varieties from NARO and private sector showed comparable mean yields of 4.56 t ha(-1) and 4.62 t ha(-1), respectively, while hybrids from CIMMYT had a mean of 5.37 t ha(-1). Era analysis indicated significant genetic gain of 1.69% year(-1) or 55 kg ha(-1) year(-1), while a significant national productivity gain of 1.48% year(-1) (37 kg ha(-1) year(-1)) was obtained. The study, thus, demonstrated the importance of public-private partnerships in development and delivery of new genetics to farmers in Uganda.
format Online
Article
Text
id pubmed-10036907
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-100369072023-03-25 Genetic trends for yield and key agronomic traits in pre-commercial and commercial maize varieties between 2008 and 2020 in Uganda Asea, Godfrey Kwemoi, Daniel Bomet Sneller, Clay Kasozi, Charles L. Das, Biswanath Musundire, Lennin Makumbi, Dan Beyene, Yoseph Prasanna, Boddupalli M. Front Plant Sci Plant Science Estimating genetic gains is vital to optimize breeding programs for increased efficiency. Genetic gains should translate into productivity gains if returns to investments in breeding and impact are to be realized. The objective of this study was to estimate genetic gain for grain yield and key agronomic traits in pre-commercial and commercial maize varieties from public and private breeding programs tested in (i) national performance trials (NPT), (ii) era trial and, (iii) compare the trends with the national average. The study used (i) historical NPT data on 419 improved maize varieties evaluated in 23 trials at 6-8 locations each between 2008 and 2020, and (ii) data from an era trial of 54 maize hybrids released between 1999 and 2020. The NPT data was first analyzed using a mixed model and resulting estimate for each entry was regressed onto its first year of testing. Analysis was done over all entries, only entries from National Agricultural Research Organization (NARO), International Maize and Wheat Improvement Center (CIMMYT), or private seed companies. Estimated genetic gain was 2.25% or 81 kg ha(-1) year(-1) from the NPT analysis. A comparison of genetic trends by source indicated that CIMMYT entries had a gain of 1.98% year(-1) or 106 kg ha(-1) year(-1). In contrast, NARO and private sector maize entries recorded genetic gains of 1.30% year(-1) (59 kg ha(-1) year(-1)) and 1.71% year(-1) (79 kg ha(-1) year(-1)), respectively. Varieties from NARO and private sector showed comparable mean yields of 4.56 t ha(-1) and 4.62 t ha(-1), respectively, while hybrids from CIMMYT had a mean of 5.37 t ha(-1). Era analysis indicated significant genetic gain of 1.69% year(-1) or 55 kg ha(-1) year(-1), while a significant national productivity gain of 1.48% year(-1) (37 kg ha(-1) year(-1)) was obtained. The study, thus, demonstrated the importance of public-private partnerships in development and delivery of new genetics to farmers in Uganda. Frontiers Media S.A. 2023-03-10 /pmc/articles/PMC10036907/ /pubmed/36968404 http://dx.doi.org/10.3389/fpls.2023.1020667 Text en Copyright © 2023 Asea, Kwemoi, Sneller, Kasozi, Das, Musundire, Makumbi, Beyene and Prasanna https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Asea, Godfrey
Kwemoi, Daniel Bomet
Sneller, Clay
Kasozi, Charles L.
Das, Biswanath
Musundire, Lennin
Makumbi, Dan
Beyene, Yoseph
Prasanna, Boddupalli M.
Genetic trends for yield and key agronomic traits in pre-commercial and commercial maize varieties between 2008 and 2020 in Uganda
title Genetic trends for yield and key agronomic traits in pre-commercial and commercial maize varieties between 2008 and 2020 in Uganda
title_full Genetic trends for yield and key agronomic traits in pre-commercial and commercial maize varieties between 2008 and 2020 in Uganda
title_fullStr Genetic trends for yield and key agronomic traits in pre-commercial and commercial maize varieties between 2008 and 2020 in Uganda
title_full_unstemmed Genetic trends for yield and key agronomic traits in pre-commercial and commercial maize varieties between 2008 and 2020 in Uganda
title_short Genetic trends for yield and key agronomic traits in pre-commercial and commercial maize varieties between 2008 and 2020 in Uganda
title_sort genetic trends for yield and key agronomic traits in pre-commercial and commercial maize varieties between 2008 and 2020 in uganda
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036907/
https://www.ncbi.nlm.nih.gov/pubmed/36968404
http://dx.doi.org/10.3389/fpls.2023.1020667
work_keys_str_mv AT aseagodfrey genetictrendsforyieldandkeyagronomictraitsinprecommercialandcommercialmaizevarietiesbetween2008and2020inuganda
AT kwemoidanielbomet genetictrendsforyieldandkeyagronomictraitsinprecommercialandcommercialmaizevarietiesbetween2008and2020inuganda
AT snellerclay genetictrendsforyieldandkeyagronomictraitsinprecommercialandcommercialmaizevarietiesbetween2008and2020inuganda
AT kasozicharlesl genetictrendsforyieldandkeyagronomictraitsinprecommercialandcommercialmaizevarietiesbetween2008and2020inuganda
AT dasbiswanath genetictrendsforyieldandkeyagronomictraitsinprecommercialandcommercialmaizevarietiesbetween2008and2020inuganda
AT musundirelennin genetictrendsforyieldandkeyagronomictraitsinprecommercialandcommercialmaizevarietiesbetween2008and2020inuganda
AT makumbidan genetictrendsforyieldandkeyagronomictraitsinprecommercialandcommercialmaizevarietiesbetween2008and2020inuganda
AT beyeneyoseph genetictrendsforyieldandkeyagronomictraitsinprecommercialandcommercialmaizevarietiesbetween2008and2020inuganda
AT prasannaboddupallim genetictrendsforyieldandkeyagronomictraitsinprecommercialandcommercialmaizevarietiesbetween2008and2020inuganda