Búsqueda
Autor: Yoseph Beyene
Yoseph Beyene Anani Bruce Manje Gowda Andrew Chavangi Prasanna Boddupalli (2023)
Objeto de congreso
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING GENETIC RESISTANCE MAIZE GERMPLASM HYBRIDS
Manje Gowda Yoseph Beyene Suresh L.M. David Berger (2023)
Gray Leaf Spot (GLS) and Northern Corn Leaf Blight (NCLB) are two pathogens with high genetic diversity that can reduce grain yield in infected maize plants.To identify population-based quantitative trait loci (QTL) for GLS and NCLB resistance, a biparental population and an association mapping panel were genotyped and were also phenotyped across multi-environments in western Kenya. This dataset includes the analyzed BLUES of the collected phenotypic data for Gray Leaf Spot GLS and NCLB resistance from the DH population and diversity panel, as well as the GBS genotypic data. The results of the analysis are reported in the accompanying article.
Dataset
David Berger Yoseph Beyene Collins Juma Suresh L.M. Manje Gowda (2023)
Artículo
Gray Leaf Spot Northern Corn Leaf Blight CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE LEAF SPOTS QUANTITATIVE TRAIT LOCI ASSOCIATION MAPPING GENOME-WIDE ASSOCIATION STUDIES
2022 CIMMYT Maize Eastern Africa Product Profile 3 Product Announcement
Dagne Wegary Gissa Yoseph Beyene Suresh L.M. Manje Gowda Walter Chivasa Aparna Das 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 upper altitudes of Eastern Africa and similar agro-ecologies in other regions. Following a rigorous trialing and a stage-gate advancement process culminating in the 2021 Stage 5 trials, CIMMYT advanced a total of 1 new elite maize hybrid for highlands in Eastern Africa in 2022. Phenotypic data collected in Stage 4 and Stage 5 trials for the selected hybrid as well as information about the trial sites are provided in this dataset. These trials were conducted through a network of partners, including NARS and private seed companies, in Eastern Africa under various management and environmental conditions.
Dataset
Marco Lopez-Cruz Yoseph Beyene Manje Gowda Jose Crossa Paulino Pérez-Rodríguez Gustavo de los Campos (2021)
Genomic prediction models may be used in plant breeding pipelines. They are often calibrated using multi-generation data and there is an open question of whether all available data or a subset of it should be used to calibrate genomic prediction models. Therefore, a study was undertaken to determine whether combining sparse selection indexes (SSIs) and kernel methods could further improve prediction accuracy when training genomic models using multi-generation data. This dataset contains the genotypic and phenotypic data from CIMMYT maize doubled haploid lines that were used to perform the analyses. The results of the analyses are presented in the accompanying article.
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
Noel Ndlovu Vijay Chaikam Berhanu Tadesse Ertiro Biswanath Das Yoseph Beyene Charles Spillane Manje Gowda (2023)
Low soil nitrogen stress can contribute to food insecurity, malnutrition, and rural poverty in maize-dependent smallholder communities of sub-Saharan Africa (SSA). Enhanced selection for improved varieites may result from a better understanding of the genomic regions associated with low nitrogen tolerance. Four F3 maize populations were used to study the genetic architecture of grain yield (GY) and its associated traits (anthesis-silking interval (ASI), anthesis date (AD), plant height (PH), ear position (EPO), and ear height (EH)) under different soil nitrogen regimes in Kenya and Zimbabwe. Information about the populations and the genotypic data used in the analyses are provided in this dataset. The results of the analysis are reported in the related journal article.
Dataset
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
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