Autor: Zerka Rashid

Replication Data for: Study of Post-flowering stalk rot (PFSR) pathogen species variation and possible shifts across selected maize agro-ecologies in South Asia

Zerka Rashid Sudha Nair (2023)

Maize post-flowering stalk rots (PFSR) are caused by at least six genera of fungal pathogens. They generally occur as a complex, along with secondary colonizers. PFSR are reported from all major maize growing ecologies and are expected to be exacerbated by the changing climates in Latin America, Asia, and Sub-Saharan Africa, A better understanding of the prevalence and spread of the stalk rot pathogens in different maize agro ecologies in Asia could contribute to plans to reduce damage caused by PFSRs. The data presented in this study from from a collection of samples from PFSR-affected maize plant stalks in India. The samples were collected in 2022 from 19 locations. The results of the analysis of the pathogens are presented in the report present in this study and accompanying article.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Genome wide association study and linkage mapping dissect resistance to Fusarium stalk rot in tropical maize

Zerka Rashid Shyam Sunder Sharma Sudha Nair (2022)

The economically important post flowering stalk rot (PFSR) disease of maize known as Fusarium stalk rot (FSR) is caused by Fusarium verticillioides. A genome wide association study (GWAS) was conducted with 342 maize lines for identification and validation of genomic regions associated with FSR resistance. The genotypic and phenotypic data used for the analysis are included in this dataset and the results are reported in the accompanying article.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Identification and validation of genomic regions associated with charcoal rot resistance in tropical maize by genome-wide association and linkage mapping

Zerka Rashid S.I HARLAPUR Sudha Nair (2021)

Charcoal rot, caused by the fungal pathogen, Macrophomina phaseolina, is a serious concern for small holder maize cultivation. It can cause significant yield loss and plant lodging at harvest. A genome wide association study (GWAS) was conducted using the CIMMYT Asia panel of 396 tropical-adapted lines to identify and validate genomic variants associated with charcoal rot resistance. In addition, two F2:3 populations were used in a QTL mapping exercise. This dataset contains the genotypic data underlying both types of analyses. Results of the analysis are presented in the related journal article.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Elucidating Genetic Control of Maydis Leaf Blight Resistance in Tropical Maize Through Genome Wide Association Studies and Genomic Predictions

Wajhat Un nisa Surinder K. Sandhu Sudha Nair Harleen Kaur Dr Ashok Kumar Zerka Rashid GAJANAN SAYKHEDKAR (2023)

Maydis Leaf Blight (MLB) is a serious foliar disease for maize in warm and humid regions. The data in this dataset were used to investigate the genetic architecture underlying resistance to MLB using high resolution Genome Wide Association Studies and Genomic Prediction. A diverse panel of 336 maize inbreds adapted for the Asian tropics, were evaluated for MLB disease score under four environments using artificial inoculation. In addition, a set of high density SNPs (128,490) from genotyping by sequencing were used for the study. The results of this study are presented in the accompanying publication.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA