2020 - J. L. Lush Award in Animal Breeding, American Dairy Science Association
Christian Maltecca integrates many fields in his works, including Machine learning, Statistics and Computational biology. He conducts interdisciplinary study in the fields of Statistics and Machine learning through his research. He conducts interdisciplinary study in the fields of Computational biology and Gene through his works. His SNP research extends to Gene, which is thematically connected. Christian Maltecca frequently studies issues relating to Genotype and SNP. His Genotype study frequently draws parallels with other fields, such as Linkage disequilibrium. He incorporates Genetics and Biotechnology in his research. His study deals with a combination of Biotechnology and Genetics. Christian Maltecca combines Single-nucleotide polymorphism and Linkage disequilibrium in his research.
His study focuses on the intersection of Sire and fields such as Animal science with connections in the field of Dairy cattle, Herd and Breed. He is investigating SNP, Runs of Homozygosity and Genome-wide association study as part of his examination of Single-nucleotide polymorphism. In his study, he carries out multidisciplinary Genome-wide association study and Single-nucleotide polymorphism research. He performs multidisciplinary study in Genetics and Biotechnology in his work. Gene is closely attributed to SNP in his work. Christian Maltecca merges many fields, such as Genotype and Heritability, in his writings. In his research, Christian Maltecca undertakes multidisciplinary study on Heritability and Genetic correlation. Christian Maltecca regularly ties together related areas like Environmental health in his Population studies. His research brings together the fields of Population and Environmental health.
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Genetic Data Analysis for Plant and Animal Breeding
Christian Maltecca;James Holland;Fikret Isik.
Genomic selection for producer-recorded health event data in US dairy cattle.
K.L. Parker Gaddis;J.B. Cole;J.S. Clay;C. Maltecca.
Journal of Dairy Science (2014)
Invited review: Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability.
Jeremy T. Howard;Jennie E. Pryce;Christine Baes;Christian Maltecca.
Journal of Dairy Science (2017)
Calf birth weight, gestation length, calving ease, and neonatal calf mortality in Holstein, Jersey, and crossbred cows in a pasture system.
K. Dhakal;C. Maltecca;J.P. Cassady;G. Baloche.
Journal of Dairy Science (2013)
Effects of the osteopontin gene variants on milk production traits in dairy cattle.
S. Leonard;H. Khatib;V. Schutzkus;Y.M. Chang.
Journal of Dairy Science (2005)
Quantitative trait loci affecting milk yield and protein percentage in a three-country Brown Swiss population.
A. Bagnato;F. Schiavini;A. Rossoni;C. Maltecca;C. Maltecca.
Journal of Dairy Science (2008)
Assessment of alternative genotyping strategies to maximize imputation accuracy at minimal cost
Yijian Huang;John M Hickey;Matthew A Cleveland;Christian Maltecca.
Genetics Selection Evolution (2012)
A Genome-Wide Association Study for Clinical Mastitis in First Parity US Holstein Cows Using Single-Step Approach and Genomic Matrix Re-Weighting Procedure
Francesco Tiezzi;Kristen L. Parker-Gaddis;John B. Cole;John S. Clay.
PLOS ONE (2015)
Breeding and Genetics Symposium: networks and pathways to guide genomic selection.
W. M. Snelling;R. A. Cushman;J. W. Keele;C. Maltecca.
Journal of Animal Science (2013)
Host contributes to longitudinal diversity of fecal microbiota in swine selected for lean growth
Duc Lu;Francesco Tiezzi;Constantino Schillebeeckx;Nathan P. McNulty.
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