2008 - The Rockefeller Prentice Memorial Award in Animal Breeding and Genetics, American Society of Animal Science
2002 - J. L. Lush Award in Animal Breeding, American Dairy Science Association
Ignacy Misztal studied Dairy cattle and Animal science that intersect with Sire. His work in Sire is not limited to one particular discipline; it also encompasses Animal science. He performs integrative study on Statistics and Econometrics in his works. His study deals with a combination of Econometrics and Statistics. He performs multidisciplinary study in the fields of Machine learning and Data mining via his papers. He performs integrative Data mining and Machine learning research in his work. In his research, he undertakes multidisciplinary study on Agricultural science and Biotechnology. He integrates many fields, such as Biotechnology and Agricultural science, in his works. Variance (accounting) and Accounting are commonly linked in his work.
In his work, Sire is strongly intertwined with Animal science, which is a subfield of Herd. His Sire study typically links adjacent topics like Animal science. His study in Variance components extends to Statistics with its themes. Ignacy Misztal performs integrative study on Genetics and Heritability. Ignacy Misztal integrates many fields in his works, including Heritability and Gene. He undertakes multidisciplinary studies into Gene and Computational biology in his work. He integrates many fields, such as Computational biology and Genetics, in his works. He frequently studies issues relating to Trait and Programming language. His study on Trait is mostly dedicated to connecting different topics, such as Programming language.
In the field of Endocrinology Ignacy Misztal connects related research areas like Body weight and Animal model. He regularly links together related areas like Endocrinology in his Body weight studies. He brings together Genetics and Molecular genetics to produce work in his papers. Ignacy Misztal merges many fields, such as Gene and Evolutionary biology, in his writings. He integrates Evolutionary biology and Gene in his research. Animal science and Heat stress are commonly linked in his work. As part of his studies on Heat stress, Ignacy Misztal often connects relevant areas like Animal science. His study in Resilience (materials science) extends to Thermodynamics with its themes. His research on Resilience (materials science) often connects related topics like Thermodynamics.
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BLUPF90 and related programs (BGF90)
I. Misztal;S. Tsuruta;T. Strabel;B. Auvray.
Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, Montpellier, France, August, 2002. Session 28. (2002)
Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.
I. Aguilar;I. Misztal;D.L. Johnson;Andres Legarra.
Journal of Dairy Science (2010)
Temperature-Humidity Indices as Indicators of Milk Production Losses due to Heat Stress
J. Bohmanova;I. Misztal;J.B. Cole.
Journal of Dairy Science (2007)
A relationship matrix including full pedigree and genomic information
A. Legarra;I. Aguilar;I. Misztal.
Journal of Dairy Science (2009)
Genetic Component of Heat Stress in Dairy Cattle, Development of Heat Index Function.
O. Ravagnolo;I. Misztal;G. Hoogenboom.
Journal of Dairy Science (2000)
Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information
I. Misztal;Andres Legarra;Ignacio Aguilar.
Journal of Dairy Science (2009)
Genome-wide association mapping including phenotypes from relatives without genotypes.
H. Wang;I. Misztal;I. Aguilar;A. Legarra.
Genetics Research (2012)
Genetic Component of Heat Stress in Dairy Cattle, Parameter Estimation
O. Ravagnolo;I. Misztal.
Journal of Dairy Science (2000)
Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information.
Selma Forni;Ignacio Aguilar;Ignacy Misztal.
Genetics Selection Evolution (2011)
Bias in genomic predictions for populations under selection.
Z. G. Vitezica;I. Aguilar;I. Misztal;A. Legarra.
Genetics Research (2011)
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