R
Raman Babu
Researcher at International Maize and Wheat Improvement Center
Publications - 59
Citations - 5152
Raman Babu is an academic researcher from International Maize and Wheat Improvement Center. The author has contributed to research in topics: Population & Quantitative trait locus. The author has an hindex of 31, co-authored 54 publications receiving 4191 citations. Previous affiliations of Raman Babu include International Crops Research Institute for the Semi-Arid Tropics & DuPont Pioneer.
Papers
More filters
Journal ArticleDOI
Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement
TL;DR: An overview of the different aspects of the KASP genotyping platform is provided, its application in crop improvement, and a comparison with the chip-based Illumina GoldenGate platform is compared.
Journal ArticleDOI
Rare genetic variation at Zea mays crtRB1 increases β-carotene in maize grain
Jianbing Yan,Catherine B. Kandianis,Carlos Harjes,Ling Bai,Eun Ha Kim,Xiaohong Yang,Debra J. Skinner,Zhiyuan Fu,Sharon E. Mitchell,Qing Li,Maria G. Salas Fernandez,Maria Zaharieva,Raman Babu,Yang Fu,Natalia Palacios,Jiansheng Li,Dean DellaPenna,Thomas P. Brutnell,Edward S. Buckler,Marilyn L. Warburton,Torbert Rocheford +20 more
TL;DR: Experimental evidence from association and linkage populations in maize demonstrate that the gene encoding β-carotene hydroxylase 1 (crtRB1) underlies a principal quantitative trait locus associated with β- carotene concentration and conversion in maize kernels.
Journal ArticleDOI
Genomic prediction in CIMMYT maize and wheat breeding programs
José Crossa,Paulino Pérez,John M. Hickey,John M. Hickey,Juan Burgueño,Leonardo Ornella,J. Jesus Céron-Rojas,Xuecai Zhang,Susanne Dreisigacker,Raman Babu,Yongle Li,David Bonnett,Ky L. Mathews +12 more
TL;DR: Results show that pedigree (population structure) accounts for a sizeable proportion of the prediction accuracy when a global population is the prediction problem to be assessed, but when the prediction uses unrelated populations to train the prediction equations, prediction accuracy becomes negligible.
Book ChapterDOI
Maize production in a changing climate: Impacts, adaptation, and mitigation strategies
Jill E. Cairns,Kai Sonder,Pervez Haider Zaidi,Nele Verhulst,Nele Verhulst,George Mahuku,Raman Babu,Sudha K. Nair,Biswajit Das,Bram Govaerts,M.T. Vinayan,Zerka Rashid,J.J. Noor,P. Devi,F. M. San Vicente,Boddupalli M. Prasanna +15 more
TL;DR: In this article, a review focusing on achievements in stress tolerance breeding and physiology and presents future tools for quick and efficient germplasm development is presented to increase maize system resilience to climate-related stresses and mitigate the effects of future climate change.
Journal ArticleDOI
Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress
Yoseph Beyene,Kassa Semagn,Stephen Mugo,Amsal Tarekegne,Raman Babu,Barbara Meisel,Pierre Sehabiague,Dan Makumbi,Cosmos Magorokosho,Sylvester O. Oikeh,John Gakunga,Mateo Vargas,Michael Olsen,Boddupalli M. Prasanna,Marianne Bänziger,José Crossa +15 more
TL;DR: It is demonstrated that genomic selection is more effective than pedigree-based conventional phenotypic selection for increasing genetic gains in grain yield under drought stress in tropical maize.