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Autor: Manje Gowda
CIMMYT Maize Regional Trial Data for Eastern Africa 2016
MacDonald Jumbo Yoseph Beyene Dan Makumbi Suresh L.M. Amsal Tarekegne Tsedeke Abate Manje Gowda Vijay Chaikam Prasanna Boddupalli (2020)
The summary results of the Regional Trials for CIMMYT Maize Hybrids in Eastern Africa for 2016. The trials are: EHYB16 - Early/extra-early maturing elite pre-commercial hybrids regional trials, EIHYB16 – Early-intermediate maturing elite pre-commercial hybrids regional trial, IHYB16 (Set 1) – Intermediate maturing elite pre-commercial hybrids regional trial, IHYB16 (Set 2) – Intermediate/Late maturing elite pre-commercial hybrids regional trial, and MLN tolerant hybrids – MLN trials of promising candidate hybrids.
Dataset
Sudha Nair Biswanath Das MacDonald Jumbo Dan Makumbi Suresh L.M. Yoseph Beyene Michael Olsen Prasanna Boddupalli Manje Gowda (2020)
Gray leaf spot (GLS) is a major maize foliar disease in sub-Saharan Africa that can substantially reduce yields for farmers. This dataset contains supporting phenotypic and genotypic data used in the analysis of the genetic architecture of GLS resistance in maize. The data in this paper relate to several different sets of germplasm: (1) The IMAS (Improved Maize for Africa Soils) panel with 430 lines assembled from diverse breeding programs from Africa, Asia and Latin America. (2) A DH population developed from crossing CML550 with CML494; (3) A DH population developed from crossing CML550 with CML504; (4) A DH population developed from crossing CML550 with CML511; and (5) several F3 populations The IMAS panel is a good source for genetic studies on resistance for several maize diseases and also for abiotic stress like low N conditions. The DH populations are a good source for low N discovery studies as well as for MLN and other disease resistance studies.
Dataset
Jill Cairns Raman Babu Manje Gowda Dan Makumbi Cosmos Magorokosho Michael Olsen Prasanna Boddupalli Yanli Lu XUECAI ZHANG (2018)
Drought stress, heat stress, and combination of drought stress and heat stress have been recognized as the major abiotic constraints to maize yields in the main production regions. The phenotypic data used in the current study had been published by Jill E. Cairns et al in 2013 in the journal of Crop Science 53 :1335–1346 ( https://dx.doi.org/10.2135/cropsci2012.09.0545). In this study, the association mapping and genomic prediction analyses were conducted in a collection of 300 tropical and subtropical maize inbred lines to reveal the genetic architecture of grain yield and flowering time under well-watered, drought stress, heat stress, and combined drought and heat stress conditions. The genetic architecture information of the grain yield and flowering time revealed in this study, and the genomic regions identified for the different trait-environment combinations are helpful accelerating the efforts on rapid development of the stress-tolerant maize germplasm through marker-assisted selection or genomic selection.
Dataset
Product development for Eastern Africa: EA-PP1
Berhanu Tadesse Ertiro Aparna Das Yoseph Beyene Dan Makumbi Manje Gowda Suresh L.M. Anani Bruce Walter Chivasa Vijay Chaikam Juan Burgueño Prasanna Boddupalli (2023)
Objeto de congreso
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PRODUCT DEVELOPMENT TESTING DATA MAIZE
CIMMYT Maize Regional Trial Data for Eastern Africa 2017
MacDonald Jumbo Yoseph Beyene Dan Makumbi Lewis Machida Suresh L.M. Amsal Tarekegne Manje Gowda Vijay Chaikam Prasanna Boddupalli (2020)
The summary results of the Regional Trials for CIMMYT Maize Hybrids in Eastern Africa for 2017. The trials include: EHYB17-Set I – Early/extra-early maturing elite pre-commercial hybrids regional trials (including external and internal checks); IHYB17-Set I – Intermediate maturing elite pre-commercial hybrids regional trial (including external and internal checks); ILHYB17 – Intermediate-Late maturing elite pre-released and released hybrids regional trials (including external and internal checks); EHYB17-Set II – Early maturing elite pre-commercial hybrids regional trials; ILHYB17 Set II – Intermediate/late maturing elite pre-commercial hybrids regional trials.
Dataset
Noel Ndlovu Vijay Chaikam Berhanu Tadesse Ertiro Biswanath Das Yoseph Beyene Charles Spillane Prasanna Boddupalli Manje Gowda (2023)
Artículo
Grain Yield Low Soil Nitrogen CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GRAIN NITROGEN SOIL CHEMICOPHYSICAL PROPERTIES MAIZE QUANTITATIVE TRAIT LOCI
2021 CIMMYT Maize Southern Africa Product Announcement
Mainassara Zaman-Allah James Gichuru Gethi Cosmos Magorokosho THOKOZILE NDHLELA Manje Gowda Amsal Tarekegne Aparna Das Nicholas J. Davis Prasanna Boddupalli (2021)
New and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across southern Africa and similar agro-ecological zones. Following a rigorous trialing and a stage-gate advancement process culminating in Stage 5 trials, CIMMYT advanced a total of four new elite maize hybrids in Southern Africa in 2021. Phenotypic data collected in Stage 4 and Stage 5 trials for the selected hybrids as well as information about the trial sites are provided in this dataset. These trials were conducted through a network of partners, including NARES, private seed companies, and NGOs, in eastern and southern Africa under various management and environmental conditions.
Dataset
Replication Data for: Optimizing sparse testing for genomic prediction of plant breeding crops
Osval Antonio Montesinos-Lopez Carolina Saint Pierre Brandon Alejandro Mosqueda González Alison Bentley Yoseph Beyene Manje Gowda Leonardo Abdiel Crespo Herrera Jose Crossa (2022)
In plant breeding, sparse testing methods have been suggested to improve the efficiency of the genomic selection methodology. The data provided in this dataset were used to evaluate four methods for allocating lines to environments for sparse testing in multi-environment trials. The analysis was conducted using a multi-trait and uni-trait framework. The accompanying article describes the results of the evaluation as well as a cost-benefit analysis to identify the benefits that can be obtained using sparse testing methods.
Dataset
Mainassara Zaman-Allah Xavier-- Mhike Dagne Wegary Gissa James Gichuru Gethi THOKOZILE NDHLELA Manje Gowda Jill Cairns Suresh L.M. Aparna Das Nicholas J. Davis Prasanna Boddupalli (2022)
New and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across Southern Africa and similar agro-ecological zones. Following a rigorous trialing and a stage-gate advancement process culminating in the 2022 Stage 5 trials, CIMMYT advanced a total of seven new elite maize hybrids in Southern Africa in 2022. Phenotypic data collected in Stage 4 and Stage 5 trials for the selected hybrids as well as information about the trial sites are provided in this dataset. These trials were conducted through a network of partners, including NARES and private seed companies, in Southern Africa under various management and environmental conditions.
Dataset
Alberto Antonio Chassaigne Ricciulli Kate Dreher Sudha Nair Manje Gowda Yoseph Beyene Dan Makumbi Thanda Dhliwayo Felix San Vicente Garcia Michael Olsen Prasanna Boddupalli XUECAI ZHANG (2022)
CIMMYT develops and distributes elite tropical CIMMYT maize lines (CMLs) for use around the world. This dataset contains genotypic profiles for all 615 of the CML lines released by 2022 and fourteen temperate maize inbred lines. All lines were genotyped with 180 kompetitive allele-specific PCR (KASP) markers. These data were used to generate a reference fingerprinting dataset using 152 high-quality markers. These data were also used to perform analyses concerning the relationships between different CMLs and temperate materials in the accompanying journal article.
Dataset