Author: Prasanna Boddupalli

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

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Genetic dissection of quantitative resistance to common rust (Puccinia sorghi) in tropical maize (Zea mays L.) by combined GWAS, linkage mapping, and genomic prediction

Michael Olsen Prasanna Boddupalli Felix San Vicente Garcia XUECAI ZHANG (2021)

Significant grain yield losses and poor grain quality can be caused by Common rust a major foliar disease in maize. This dataset provides the genotypic and phenotypic data that were used to perform genome-wide association studies (GWAS) and linkage analysis mapping to dissect the architecture of common rust resistance.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

CIMMYT Eastern Africa 2019 Regional Trial Report

MacDonald Jumbo 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

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Genomic prediction of resistance to Tar Spot Complex of maize in multiple populations using genotyping-by-sequencing SNPs

Michael Olsen Prasanna Boddupalli Felix San Vicente Garcia XUECAI ZHANG (2021)

Tar spot complex (TSC) is an important foliar disease for tropical maize. The data provided in this dataset were used to estimate the effectiveness of genomic selection for improving TSC resistance. The results of the analysis are reported in the accompanying journal article

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Genomic prediction of kernel zinc content in multiple maize populations using genotyping-by-sequencing and repeat amplification sequencing markers

Thanda Dhliwayo Edna Mageto Michael Olsen Jose Crossa Prasanna Boddupalli XUECAI ZHANG (2020)

An association-mapping panel (DTMA) and two DH populations (DH1 and DH2) were used in the current study, which in total includes 487 materials. The dataset includes three types of files. One is the genotype of 487 lines sequenced by GbS, named DTMA_DH2_DH3-955690.hmp.txt; one is the genotype of 487 lines sequenced by rAmpSeq named genotype-rAmpSeq.csv; and the third type of files are the phenotypic data files named DH1-phenotype.csv, DH2-phenotype.csv and DTMA-phenotype.csv.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

2021 CIMMYT Maize Southern Africa Product Announcement

Mainassara Zaman-Allah James Gichuru Gethi Cosmos Magorokosho THOKOZILE NDHLELA Manje Gowda Amsal Tarekegne Aparna Das 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

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA