Biographical Memoirs Volume 73 (1998) / Chapter Skim
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CHARLES ROY HENDERSON
CHARLES ROY HENDERSON
Pages 182-207
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From page 183... ...
The second, born near Coin, Iowa, on April I, 1911, was Charles Roy Henderson, who became a graduate student uncler Lush at Iowa State College in 1946. Lush also prececlec!
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Charles Roy was born on the Henderson farm in Morton Township in Page County near Coin in southwest Iowa. He was forever prouc!
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A1though he could not attend with the regularity of one of his younger brothers, who was said to have attended 48 of 50 consecutive Drake relays, Henderson attended several times in connection with speaking trips in the Midwest. Among his sports heroes were two near-contemporaries, Glen Cunningham of Kansas, who had overcome near fatal burns to become a premier miter, and naturally, the Olympian sprinter from Ohio, Jesse Owen.
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From page 186... ...
When I asked his wife where or when that interest began (which was somewhat unusual for a boy from a country school in Iowa) , she told me that the county school superintendent, later state school superintendent, had visited his grade school one day with a portable phonograph.
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a position as county agent in a county bordering Page County. In 1939 he was asker!
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of Henderson for Lush en c! Wright, Henderson took a completely different approach to the teaching of correlation and causation the approach of mixed linear models, which was infinitely more understandable (at least to his stuclents)
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PROFESSIONAL HISTORY THE MIXED LINEAR MODEL PROBLEM begin at age thirtyseven ant! continue for more than forty years, as clic!
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"messy" data, using fixed effects linear models. The adjective "messy" refers to unbalancer!
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Henderson to clevelop two methods to estimate variance components, later known as Henclerson's Methods ~ en c!
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connection with his thesis is an abstract at the 1949 annual meeting of the American Society of Animal Science with the same title as his thesis. COMBINING LEAST SQUARES AND SELECTION INDEX What seems to have happenec!
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extensively by animal breeders en c!
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. The corresponding selection index predictor (also caller!
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His goal in cleveloping methods to estimate variance components (he clevelopec! various procedures cluring the next thirty-six years)
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. Because R-i is usually easily obtained and in many cases the structure of G is such that G-i is also easily obtained, then simple iteration can be used to obtain 13 and u from the mixed model equations, known to most animal breeders en c!
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methods of estimating variance components have been clevelopecI, many with the stimulus en c! procicling of Henderson.
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. Animal and plant breeders typically want to make use of this partial genetic replication through A62 to obtain more accurate predictions of breeding values or to predict breeding values for animals without records.
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for animals that clo not have records. Usually least squares equations will involve only the moclel for the available records.
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Of particular importance is the finding that using the mixed model equations as a basis for REML estimation of genetic en c! environmental variance components provides estimates for the population as if selection hac!
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through artificial insemination, records available through cooperative recording associations, en c! genetic evaluations (the BLUPs)
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algorithms for estimating variance components seem to be fount! regularly.
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1964 Borden Award (highest award of American Dairy Science Association) Animal Breeding and Genetics Award, American Society of Animal Science 1968 Award of Merit, Eastern Artificial Insemination Cooperative 1969 Fellow, American Statistical Association 1971 Morrison Award (highest award of American Society of Animal Science)
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Lush Animal Breeding and Genetics Award, American Dairy Science Association 1984 Henry A Wallace Award for Service to Agriculture, Iowa State University 1985 Alumni Research Award, Iowa State University Distinguished Visiting Professor, University of Kyoto, Tapan Member, National Academy of Science REFERENCES Freeman, A
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An iterative procedure for estimating fixed effects and variance components in mixed model situations. Biometrics 24:13-25.
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41:76070. 1976 A simple method for computing the inverse of a numerator relationship matrix used in prediction of breeding values.
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A8~8~:75187. 1984 Applications of Linear Models in Animal Breeding.
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