Genetic analysis of litter size in Targhee, Suffolk, and Polypay sheep.

2000 ◽  
Vol 78 (8) ◽  
pp. 2113 ◽  
Author(s):  
S Rao ◽  
D R Notter
1987 ◽  
Vol 45 (1) ◽  
pp. 123-134 ◽  
Author(s):  
M. H. Khalil ◽  
J. B. Owen ◽  
E. A. Afifi

AbstractAn analysis of doe productivity traits was carried out on 884 litter records including 52 sires and 210 daughters (paternal half sisters) of Bauscat (B) and Giza White (G) rabbits. Traits examined included litter size and weight at birth and at weaning, pre-weaning mortality and mean weight of young at weaning. Year-of-kindling affected most litter traits but no pattern of parity effects on litter size and pre-weaning mortality was observed. Litter weight and mean weight of young at weaning generally increased linearly as parity advanced. Litter size and weight and mean weight of young tended to increase as month of kindling advanced from October to March, and to decrease again during April and May. Pre-weaning mortality decreased as month of kindling advanced up to March and increased thereafter during April and May. The sire of the doe affected all litter traits studied, with the exception of litter size at birth and pre-weaning mortality in the B breed. Estimates of heritability for most of the litter traits were moderate or high. Genetic and phenotypic correlations among litter size traits and between litter size and litter weight traits were positive and relatively moderate or large. Litter weight traits were positively correlated both genetically and phenotypically. The genetic and phenotypic correlations between litter size traits and mean weight of young at weaning were negative and relatively moderate or large.


2017 ◽  
Vol 205 ◽  
pp. 50-55 ◽  
Author(s):  
Xiujin Li ◽  
Shuihua Xie ◽  
Xiaohong Liu ◽  
Yaosheng Chen

1988 ◽  
Vol 4 (2) ◽  
pp. 11-16 ◽  
Author(s):  
Z.B. Johnson ◽  
D.J. Harris ◽  
C.J. Brown ◽  
Will R. Getz ◽  
Robert L. Harrold

2002 ◽  
Vol 80 (1) ◽  
pp. 55-62 ◽  
Author(s):  
YU. S. AULCHENKO ◽  
L. O. ARARIPE ◽  
P. S. D'ANDREA ◽  
A. A. SHISHKIN ◽  
R. CERQUEIRA ◽  
...  

By means of complex segregation analysis we studied the inheritance of litter size in two large pedigrees of captive-bred colonies of the Brazilian grass mouse Akodon cursor. Genetic analysis has revealed a highly significant influence of genetic factors on the variation of litter size (heritability, h2, was estimated as 0.44). The inheritance followed the classical polygene model: neither the major-gene model nor the polygene with unequal contribution model described the data significantly better.


2015 ◽  
Vol 77 (3) ◽  
pp. 353-358 ◽  
Author(s):  
Jun-ichi SUTO
Keyword(s):  

1999 ◽  
Vol 58 (1) ◽  
pp. 91-94 ◽  
Author(s):  
T van der Lende ◽  
M.H.A Willemsen ◽  
J.A.M van Arendonk ◽  
E.B.P.G van Haandel
Keyword(s):  

2021 ◽  
Vol 19 ◽  
pp. 64-69
Author(s):  
I. K Odubote ◽  
B. Somade

Data on 260 litters were used to provide therefore to estimate the heritability and estimates of heritability, repeatability, genetic and phenotypic correlations for litter traits at birth and at weaning. Breed, sire within breed and doe within sire effects were found to be significant, (P<0.05) for litter size at birth and at weaning and for litter weight at birth and at weaning. Heritability estimates of 0.33±0.08, 0.38±0.02, 0.03±0.02 and 0.16±0.05 were obtained for litter birth weight, litter size at birth, litter size at weaning and litter weaning weight, respectively. Repeatability estimates were found to be generally moderate to high. Genetic and phenotypic correlations were positive and significant (P<0.01). Selection for litter size at birth and litter birth weight are likely to result in improved litter size at weaning and litter weaning weight respectively.


Animals ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 689 ◽  
Author(s):  
Zhuangbiao Zhang ◽  
Jishun Tang ◽  
Xiaoyun He ◽  
Ran Di ◽  
Mingxing Chu

Previous studies showed that the NLR family pyrin domain-containing 5 (NLRP5) and NLRP9 genes are two important reproductive genes; however, their effects on sheep litter size are unknown. Therefore, in this study, we first genotyped seven sheep breeds via the MassARRAY® SNP system at the loci g.60495375A > G, g.60495363G > A, and g.60499690C > A in NLRP5, and g.59030623T > C and g.59043397A > C in NLRP9. Our results revealed that each locus in most sheep breeds contained three genotypes. Then, we conducted population genetic analysis of single nucleotide polymorphisms in NLRP5 and NLRP9, and we found that the polymorphism information content value in all sheep breeds ranged from 0 to 0.36, and most sheep breeds were under Hardy–Weinberg equilibrium (p > 0.05). Furthermore, association analysis in Small Tail Han sheep indicated that two loci, g.60495363G > A in NLRP5 and g.59030623T > C in NLRP9, were highly associated with litter size. The mutation in g.60495363G > A may decrease interactions of NLRP5 with proteins, such as GDF9, whereas the mutation in g.59030623T > C may enhance the combining capacity of NLRP9 with these proteins; consequently, these mutations may influence the ovulation rate and even litter size. The findings of our study provide valuable genetic markers that can be used to improve the breeding of sheep and even other mammals.


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