2016
DOI: 10.2527/jas.2015-0194
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Abstract: Very few studies have been conducted to infer genotype × environment interaction (G×E) based in genomic prediction models using SNP markers. Therefore, our main objective was to compare a conventional genomic-based single-step model (HBLUP) with its reaction norm model extension (genomic 1-step linear reaction norm model [HLRNM]) to provide EBV for tick resistance as well as to compare predictive performance of these models with counterpart models that ignore SNP marker information, that is, a linear animal mo… Show more

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Cited by 18 publications
(23 citation statements)
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References 30 publications
(52 reference statements)
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“…more accurate predictions were achieved. These results are in agreement with previous studies in pigs (Silva et al ) and cattle (Mota et al ). According to Forni et al () and Yu et al (), using the H matrix instead of the A matrix for genetic evaluation will reduce the error of prediction owing to the better estimation of the kinship coefficient.…”
Section: Resultssupporting
confidence: 94%
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“…more accurate predictions were achieved. These results are in agreement with previous studies in pigs (Silva et al ) and cattle (Mota et al ). According to Forni et al () and Yu et al (), using the H matrix instead of the A matrix for genetic evaluation will reduce the error of prediction owing to the better estimation of the kinship coefficient.…”
Section: Resultssupporting
confidence: 94%
“…In the present study, the addition of genomic information in RNM (RNM_H) also resulted in a decrease in the genetic parameter estimation standard deviations (SD) of 35.42% for SC and 37.31% for HP, on average (Table ). Our results agree with Forni et al (), Gordo et al () and Mota et al (), who reported reductions in variance component SD of 31.82, 31.80 and 22.63% respectively when combining genomic and pedigree relationships.…”
Section: Resultssupporting
confidence: 93%
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“…Economic losses in livestock production due to ticks and tick-borne diseases have long been a major concern to livestock producers in tropical and sub-tropical regions including South Africa (Seifert 1984; Passafaro et al 2015; Mota et al 2016). The most economically important tick genera affecting livestock production in Southern Africa are Rhipicephalus (includes the genus formerly known as Boophilus ), Amblyomma and Hyalomma (Marufu et al 2011; Nyangiwe et al 2013; Mapholi et al 2013, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…phagocytophilum infection are reported [10] and the Norwegian Food Safety Authority considers restrictions of grazing on pastures with high losses due to the severe welfare problems. Ticks and tick-borne diseases have, for a long time, also been a major concern to livestock producers in tropical and sub-tropical regions of the world [11, 12, 13]. …”
Section: Introductionmentioning
confidence: 99%