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Autor: Dan Makumbi
Lewis Machida Dan Makumbi (2023)
Artículo
Maize Variety Testing Multienvironment Trial Analysis Relative Maturity REMATTOOL-R Superior Varieties Identification CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE VARIETIES MATURITY IDENTIFICATION YIELDS
Performance of maize inbred lines under artificial inoculation with aflatoxin
Dan Makumbi Prasanna Boddupalli (2021)
This dataset contains information about the performance of maize inbred lines in Eastern Africa following inoculation with aflatoxin. The aflatoxin-related traits described in the dataset are: AFLTXB1 = Aflatoxin B1; AFLTXB2 = Aflatoxin B2; AFLTXG1 = Aflatoxin G1; AFLTXG2 = Aflatoxin G2, and AFLTXPPB = Aflatoxin Total.
Dataset
Tackling Maize Lethal Necrosis (MLN) in eastern Africa through effective phytosanitary approaches
Suresh L.M. Yoseph Beyene Dan Makumbi Manje Gowda Prasanna Boddupalli (2023)
Objeto de congreso
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE NECROSIS DISEASE MANAGEMENT PLANT HEALTH GENE EDITING GERMPLASM
CIMMYT Eastern Africa 2019 Regional Trial Report
MacDonald Jumbo Mosisa Worku Regasa Yoseph Beyene Dan Makumbi Prasanna Boddupalli (2021)
This dataset contains the results from three regional trials carried out in Eastern Africa in 2019. Each report focuses on a different product profile. Two reports present data for product profile EA-PP1, It focuses on includes early/intermediate-maturing white maize with multiple stress tolerance (drought, low N, MLN, MSV, TLB, GLS, ear rots) for the Eastern African rainfed mid-altitude dry/wet agro-ecologies. The third report presents data for product profile EA-PP2. It focuses on late-maturing, white maize varieties with multiple stress tolerance (drought, low N, GLS, TLB, MSV, ear rots, Striga) for the Eastern African rainfed upper mid-altitude region.
Dataset
Anani Bruce Dan Makumbi Yoseph Beyene Prasanna Boddupalli Paul André Calatayud (2023)
Artículo
Native Resistance Antixenosis Maize Inbred Lines CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PEST RESISTANCE ANTIBIOSIS DEFENCE MECHANISMS FALL ARMYWORMS MAIZE INBRED LINES
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
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
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
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