scholarly journals Desert island papers—A life in variance parameter and quantitative genetic parameter estimation reviewed using 16 papers

2019 ◽  
Vol 136 (4) ◽  
pp. 230-242 ◽  
Author(s):  
Robin Thompson
2012 ◽  
Vol 34 (5) ◽  
pp. 584-590
Author(s):  
Peng-Yu WANG ◽  
Zha-Xi GUANQUE ◽  
Quan-Qing QI ◽  
Mao DE ◽  
Wen-Guang ZHANG ◽  
...  

2019 ◽  
Vol 90 (9) ◽  
pp. 1111-1119 ◽  
Author(s):  
Shinichiro Ogawa ◽  
Ayane Konta ◽  
Makoto Kimata ◽  
Kazuo Ishii ◽  
Yoshinobu Uemoto ◽  
...  

Author(s):  
JB Van Wyk ◽  
JW Swanepoel ◽  
SW Cloete ◽  
JJ Olivier ◽  
GJ Delport

2020 ◽  
Vol 99 (5) ◽  
pp. 2375-2384 ◽  
Author(s):  
Guang-Sheng Li ◽  
Feng Zhu ◽  
Fang-Xi Yang ◽  
Jin-Ping Hao ◽  
Zhuo-Cheng Hou

2017 ◽  
Vol 42 (3) ◽  
pp. 160
Author(s):  
S. Sumadi ◽  
A. Fathoni ◽  
D. Maharani ◽  
N. Ngadiyono ◽  
D. T. Widayati ◽  
...  

The objective of study was to estimate breeding value of sires of Kebumen Ongole grade cattle based on offsprings weaning weight. This research was carried out from August to December 2015 in Urut Sewu area, Kebumen. The calculation of genetic parameter estimation was heritability of weaning weight. The value of heritability was used to calculate the breeding value of sires based on offsprings weaning weight. Heritability was calculated using paternal half-sib correlation with the direct pattern variance analysis. Breeding Value (BV) of sire was calculated by absolute estimated breeding value. The materials used in this study included were data record during the last three years (2013-2015) consisted of 41 sires, 51 dams and 244 calves. Weaning weight data had been corrected based on age of dams, sex and weaning age of 120 days. The results showed that the heritability value of weaning weight was included in high category (0.36 ± 0.21). The highest BV was KJ.J608 (49.76) with a ratio of 231.45%. The results of this study were expected to be the basis recommendation for selecting sires in Kebumen.


2017 ◽  
Vol 48 (12) ◽  
pp. 5892-5900 ◽  
Author(s):  
Changliang Qiu ◽  
Linsong Dong ◽  
Shijun Xiao ◽  
Shuangbin Xu ◽  
Ming Fang ◽  
...  

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