Results 131 to 140 of about 20,754 (222)

Genomic Prediction Ability for Novel Profitability Traits Using Different Models in Nelore Cattle

Journal of Animal Breeding and Genetics, Volume 143, Issue 2, Page 244-255, March 2026.
ABSTRACT The aim of this study was to assess the accuracy, bias and dispersion of genomic predictions for accumulated profitability (APF) and profit per kilogram of liveweight gain (PFT) in Nelore cattle using different prediction approaches. The dataset consisted of 3969 phenotypic records for each trait. The pedigree harboured information from 38,930
Letícia Silva Pereira, Cláudio Ulhôa Magnabosco, Guilherme Rosa, Nedenia Bonvino Stafuzza, Tiago Zanett Albertini, Minos Carvalho, Raysildo Barbosa Lobo, Elisa Peripolli, Eduardo da Costa Eifert, Fernando Baldi   +9 more
wiley   +1 more source

Single‐Step Genomic Predictions for Growth and Carcass Traits in Nordic Charolais and Hereford Cattle

Journal of Animal Breeding and Genetics, Volume 143, Issue 2, Page 283-295, March 2026.
ABSTRACT In order to investigate the applicability and efficiency of genomic selection for growth and carcass traits in Nordic beef cattle, single‐step genomic BLUP (ssGBLUP) was applied in 4321 Charolais and 4532 Hereford animals with information on approximately 43,000 SNPs each.
Anahit Nazari‐Ghadikolaei, Freddy Fikse, Susanne Eriksson   +2 more
wiley   +1 more source

Predicting rates of inbreeding for livestock improvement schemes [PDF]

, 2001
Bijma, P., Van Arendonk, J.A.M., Woolliams, John   +2 more
core   +1 more source

Forecasting with Spatial Panel Data [PDF]

This paper compares various forecasts using panel data with spatial error correlation. The true data generating process is assumed to be a simple error component regression model with spatial remainder disturbances of the autoregressive or moving average
Baltagi, Badi H., Bresson, Georges, Pirotte, Alain   +2 more
core  

Efeito de erros de pedigree na seleção Effect of pedigree errors on the selection

Revista Brasileira de Zootecnia, 1999
Dados simulados com cinco níveis de erros de pedigree (0, 5, 10, 15 e 20%) e três herdabilidades (0,10; 0,30; e 0,60) foram usados para verificar o efeito de erros de pedigree na seleção por 10 gerações consecutivas.
Paulo Luiz Souza Carneiro, Ricardo Frederico Euclydes, Martinho de Almeida e Silva, Paulo Sávio Lopes, Robledo de Almeida Torres, Antônio Policarpo Souza Carneiro, Rodolpho de Almeida Torres Filho   +6 more
doaj  

The maize mitogen‐activated protein kinase kinase kinase gene ZmMAPKKK45 is associated with multiple disease resistance

New Phytologist, Volume 249, Issue 6, Page 3003-3020, March 2026.
Summary Southern leaf blight (SLB), caused by the necrotrophic fungus Cochliobolus heterostrophus, is a major foliar disease of maize (Zea mays) world‐wide. A genome‐wide association study was performed to dissect the genetic basis of SLB resistance in maize. Functional validation was performed using mutant and transgenic analyses.
Tao Zhong, Bode Olukolu, Yang Bian, Shang Xue, Randall J. Wisser, Peter S. Ojiambo, James B. Holland, Qin Yang, Peter Balint‐Kurti   +8 more
wiley   +1 more source

On the performance of small-area estimators: Fixed vs. random area parameters [PDF]

Most methods for small-area estimation are based on composite estimators derived from design- or model-based methods. A composite estimator is a linear combination of a direct and an indirect estimator with weights that usually depend on unknown ...
Albert Satorra, Alex Costa, Eva Ventura
core  

State-space modeling with correlated measurements with application to small area estimation under benchmark constraints

, 2003
The problem of Small Area Estimation is how to produce reliable estimates of area (domain) characteristics, when the sizes within the areas are too small to warrant the use of traditional direct survey estimates.
Pfeffermann, Danny, Tiller, Richard
core  

Genomik seleksiyonda Blup ve Bayes yöntemlerinin karşılaştırılması

, 2021
98
openaire   +1 more source

Integration of proxy intermediate omics traits into a nonlinear two-step model for accurate phenotypic prediction. [PDF]

Theor Appl Genet
Yoshioka H, Mary-Huard T, Aubert J, Toda Y, Ohmori Y, Yamasaki Y, Tsujimoto H, Takahashi H, Nakazono M, Takanashi H, Fujiwara T, Tsuda M, Kaga A, Inaba J, Fuji Y, Hirai MY, Nose Y, Kumaishi K, Usui E, Kobori S, Sato T, Narukawa M, Ichihashi Y, Iwata H.   +23 more
europepmc   +1 more source