scholarly journals Genetic prediction of early selection of pigs by fertility

Author(s):  
Alena Yurina ◽  
Evgeniy Skovorodin
2019 ◽  
Vol 87 ◽  
pp. 258-265 ◽  
Author(s):  
Rashmi Chhabra ◽  
Firoz Hossain ◽  
Vignesh Muthusamy ◽  
Aanchal Baveja ◽  
Brijesh Mehta ◽  
...  

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
R.P. Barbosa ◽  
F. Alcântara Neto ◽  
L.M. Gravina ◽  
G.A. Gravina ◽  
M.G.T. Portela ◽  
...  

2012 ◽  
Vol 36 (2) ◽  
pp. 163-170 ◽  
Author(s):  
Bruno Galvêas Laviola ◽  
Alexandre Alonso Alves ◽  
Fábio de Lima Gurgel ◽  
Tatiana Barbosa Rosado ◽  
Rhayanne Dias Costa ◽  
...  

An initial evaluation of early selection of physic nut genotypes based on phenotypic data is presented. In order to predict the genetic gains with early selection, genetic parameters, e.g. additive genetic variance, were first obtained for grain yield along with other numerous traits. The results demonstrated that additive genetic variance exists not only for grain yield, which is considered to be the most important trait for oil and biodiesel production, but also for numerous other traits. The predicted genetic gains for grain yield, considering the selection of the 30, 20, 10 and 5 best families in the second crop year are respectively, 40.47, 48.43, 61.78 and 70.28%. With the selection of highly yielding physic nut genotypes indirectly genotypes with enhanced volume would be also selected, because yield exhibits moderate to high genetic correlations with height e canopy volume. The results here presented demonstrate the potential of the population gathered in the Brazilian physic nut germplasm bank for genetic breeding purposes and that superior physic nut families can be selected with high accuracy based on the evaluation of its second crop.


Author(s):  
Roshan Weerasekera ◽  
Li-Rong Zheng ◽  
Dinesh Pamunuwa ◽  
Hannu Tenhunen

1999 ◽  
Vol 36 (3) ◽  
pp. 465-469 ◽  
Author(s):  
A. Morant-Avice ◽  
R. Houchi ◽  
P. Jurvilliers ◽  
G. Tremblin

2008 ◽  
Vol 10 (3) ◽  
pp. 162-167 ◽  
Author(s):  
Zi-hui Zhang ◽  
Ze-liang Wang ◽  
Shan-zhi Lin ◽  
Zhi-yi Zhang

1994 ◽  
Vol 4 (3) ◽  
pp. 604-616 ◽  
Author(s):  
Zhang Ming Wang ◽  
Martin J. Lechowicz ◽  
Catherine Potvin

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