Búsqueda
Autor: Manje Gowda
Editorial: Model organisms in plant science: Maize
Manje Gowda (2023)
Artículo
Model Organism Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE PLANT SCIENCES RESEARCH CROP IMPROVEMENT PLANT PHYSIOLOGY PLANT BREEDING
Yogesh Vikal Manje Gowda (2023)
Artículo
Brown Mid-Rib Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOMASS SILAGE DIGESTIBILITY GENOME-WIDE ASSOCIATION STUDIES MARKER-ASSISTED SELECTION MAIZE
Manje Gowda Prasanna Boddupalli Kanwarpal Dhugga Vijay Chaikam (2023)
Artículo
R1-nj Marker Embryo Rescue False Positives False Detection Rate False Negative Rate CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DOUBLED HAPLOIDS MAIZE BREEDING PROGRAMMES INBRED LINES CROPS
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
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
Yoseph Beyene Anani Bruce Manje Gowda Andrew Chavangi Prasanna Boddupalli (2023)
Objeto de congreso
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING GENETIC RESISTANCE MAIZE GERMPLASM HYBRIDS
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
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
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