Y. Naderi
Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
[ 1 ] - Genetic Analysis of Milk Yield in Iranian Holstein Cattle by the Test Day Model
Using monthly test day records the genetic parameters of Iranian Holstein cattle in first lactation were studied. Data of 277400 test-day milk records from 65320 cows and 2210 sires were analyzed by an animal random regression model using restricted maximum likelihood methodology. The model included herd-test-date, interaction between year-season of calving, days in milk (linear and quadratic) ...
[ 2 ] - اهمیت خویشاوندی ژنتیکی و رکورد فنوتیپی بر صحت ژنومی داده‌های جانهی شبیه سازی شده با استفاده از مدل های حیوانی در حضور اثرات متقابل ژنوتیپ و محیط
The objective of this study was to investigate the role of genetic relationships between training and validation set with considering different ratio of phenotypic records of training set on accuracy of genomic prediction via animal models containing genotype × environment interactions in simulated imputation data. For this purpose, four different scenarios using 15k density containing differen...
[ 3 ] - استفاده از مدل تابعیت تصادفی دو متغیره در تجزیه ژنتیکی صفت شیر گاومیش های بومی ایران
Bivariate random regression models were used to estimate variance components of test-day milk yields (TDMY) in the first and second lactations of Iranian buffaloes. Data included 10,133 TDMY records from 862 Iranian buffaloes for first lactation and 786 for second lactation which were collected from 1993 to 2011 by the animal breeding centre of Iran. The models of analysis included the fixed ef...
[ 4 ] - ارزیابی صحت پیش‌بینی ژنومی در معماری‌های مختلف ژنومی صفات کمی و آستانه‌ای با جانهی داده‌های ژنومی شبیه‌سازی‌شده، توسط روش جنگل تصادفی
Genomic selection is a promising challenge for discovering genetic variants influencing quantitative and threshold traits for improving the genetic gain and accuracy of genomic prediction in animal breeding. Since a proportion of genotypes are generally uncalled, therefore, prediction of genomic accuracy requires imputation of missing genotypes. The objectives of this study were (1) to quantify...
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