Genetic parameters of litter weight, an alternative criterion to prolificacy and pre-weaning weight for selection of French meat sheep

2021 ◽  
pp. 104596
Author(s):  
Emilie Cobo ◽  
Jérôme Raoul ◽  
Loys Bodin
2007 ◽  
Vol 50 (6) ◽  
pp. 562-574
Author(s):  
L. Vostrý ◽  
J. Přibyl ◽  
Z. Veselá ◽  
V. Jakubec

Abstract. The objective of this paper was to select a suitable data subset and statistical model for the estimation of genetic parameters for weaning weight of beef cattle in the Czech Republic. Nine subsets were tested for the selection of a suitable subset. The subsets differed from each other in the limit of sampling criteria. The most suitable subset satisfied these conditions: at least 5 individuals per each sire, 5 individuals per HYS (herd, year, season), 2 sires per HYS, and individuals per dams that have at least one half-sister and two offspring (n = 4 806). The selection of a suitable model was carried out from 10 models. These models comprised some of the random effects: direct genetic effect, maternal genetic effect, permanent maternal environment effect, HYS, sire × herd or sire × year interaction, and some of the fixed effects: dam’s age, sex (young bull, heifer × single, twin born), HYS, year, herd. The direct heritability (h2a) ranged from 0.06 to 0.17, of maternal heritability (h2m) from 0.03 to 0.06. The genetic correlations between the direct and maternal effect (ram) were in the range of –0.15 –0.42.


2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 387-387
Author(s):  
Eliel González-García ◽  
Tiphaine Macé ◽  
Dominique Hazard

Abstract The objective of this work was to study the relationships between different body reserve (BR) dynamic profiles and ewe rearing performance (PERF) traits in a Romane meat sheep population extensively managed in a rangeland of France. Genetic parameters that link litter weight and lamb BW at lambing and weaning, lamb growth rate at 1, 2 and 3 months after lambing and litter survival from lambing to weaning to different BR profiles that have previously been demonstrated in the same animals are reported. Records from the flock of the INRA La Fage experimental farm were used to generate datasets from 14 lambing years (YR: 2002 to 2015). The datasets involved 1,146, 1,072 and 414 females belonging to 3 parities (PAR: 1, 2 and 3, respectively), with first lambing at 2 ages (AGE: 1 or 2-yr-old), and 4 litter sizes (LS: 1, 2, 3 and 4 lambs born alive). Significant effects on PERF were observed on all fixed variables considered (i.e., YR, AGE, PAR and LS). Similarly, the BW and BCS profiles of the ewes were strongly related to the PERFs across the 3 PARs studied, particularly for the BW profiles in the first cycle (PAR 1). In contrast to litter survival, which showed very low h² values and repeatabilities, the traits of lamb BW at lambing and weaning and litter weights at weaning had moderate h² values ranging from 0.20 to 0.23 and repeatabilities ranging from 0.21 to 0.27. In conclusion, our results show that genetic gains may be possible due to the inclusion of combined BR and PERF traits in sheep selection programs for this breed and warrant further research in other sheep populations.


1994 ◽  
Vol 45 (4) ◽  
pp. 819
Author(s):  
K Meyer ◽  
HU Graser

Estimates of (co)variance components and genetic parameters were obtained for a preweaning weight, recorded between 2 and 5 months after birth, and the subsequent gain till weaning for two herds in a selection experiment in Western Australia. Analyses were carried out both accounting for age at weighing and assuming birth dates and thus ages were unknown. On adjusting for the interval between weighings, preweaning gain appeared to be independent of age and equally heritable to weaning weight. Estimates of the direct genetic correlation between preweaning gain and weaning weight (adjusted for age) were 0.9 or higher, while both genetic and permanent environmental maternal correlations were close to unity. Implications for the use of preweaning weight as an alternative selection criterion to weaning weight when birth dates are not recorded are discussed.


2020 ◽  
Vol 8 (1) ◽  
pp. 15-21
Author(s):  
Ayu Kamila Haya ◽  
Asep Anang ◽  
Denie Heriyadi

The development of local genetic resources is important to meet the need of high demand of lamb meat in Indonesia, especially in West Java, through the selection of superior breeds of Garut sheep. The selection has to be initiated by studying the Garut sheep performances to determine the environmental factors affecting the preweaning performances of the sheep and involving those factors in the analysis of genetic parameters. The study was held on the Unit Pelayanan Teknis Dasar Balai Pengembangan Perbibitan Ternak Domba dan Kambing (UPTD-BPPTDK) Margawati Garut from August 21st to September 18th, 2019. The purpose of this experiment was to study the effect of sex and litter size on preweaning weight, i.e birth weight, weight on 30, 60, 90 days, and weaning weight (100 days). The traits were analyzed on 6.349 heads, 3.214 rams, and 3.135 ewes, from 2012 to 2019 using the General Linear Model (GLM) and Duncan multiple range test of SAS 9.0 software. The fixed effects used in the analysis were the sex and the birth type. The results showed that the performance of Garut Sheep based on the preweaning weight was affected significantly (P<0.05) by the sex, with the average of birth weight, 30, 60, 90 days weight and weaning weight (100 days) were 2.46 kg, 5.64 kg, 7.73 kg, 9.92 kg, 10.97 kg (rams) and 2.33 kg, 5.42 kg, 7.34 kg, 9.36 kg, and 10.28 kg (ewes). The pre-weaning weight was also significantly affected (P<0.05) by the birth type, in which  the average of birth weight, 30, 60, 90 days weight and weaning weight (100 days) were 2.96 kg, 6.49 kg, 8.98 kg, 11.29 kg, 12.52 kg (single), 2.25 kg, 5.09 kg, 6.78 kg, 8.71 kg, 9.52 kg (twin), 1.79 kg, 4.62 kg, 6.24 kg, 8.09 kg, 8.92 kg (triplet), 1.54 kg, 4.53 kg, 5.89 kg, 7.15 kg, 8.03 kg (quadruplet), and 1.51 kg, 3.84 kg, 5.23 kg, 6.58 kg, 7.15 kg (quintuplet). Based on the results, preweaning weight must be corrected by the sex and the birth type before the genetic parameters are analyzed to avoid bias of selection results.


2012 ◽  
Vol 37 (1) ◽  
pp. 1-8 ◽  
Author(s):  
M Parikh ◽  
NK Motiramani ◽  
NK Rastogi ◽  
B Sharma

The present studies were carried out to characterize seventy-one aromatic rice germplasm from IGKV, Raipur. These germplasm were characterized and grouped on the basis of anthocyanin pigmentation, plant habit, and awning character. On the basis of pigmentation distribution in 10 plant parts, a total of twelve groups were formed with group one having no pigmentation and group twelve with pigmentation in 9 plant parts. On the basis of plant habit and awning character, three groups of each were formed. The genetic parameters for the ten agronomic traits indicated that the selection of genotypes may be done for fertile spikelets per panicle, spikelet density, spikelet sterility percentage, and hundred seed weight. Thus, on the basis of above characters, the genotypes Tulsi Mala, Baanspati, Ganga Balu, Samund Chini, Tulsi Amrit, Dudh Dhan, Kari Gilas, Shankar Jeera, and Jata Shankar may be selected for future study. DOI: http://dx.doi.org/10.3329/bjar.v37i1.11168 Bangladesh J. Agril. Res. 37(1): 1-8, March 2012


2017 ◽  
Vol 52 (7) ◽  
pp. 530-538 ◽  
Author(s):  
Luiz Paulo de Carvalho ◽  
Josiane Isabela da Silva Rodrigues ◽  
Francisco José Correia Farias

Abstract: The objective of this work was to evaluate the oil content and characters related to fiber quality and yield in cotton lines (Gossypium hirsutum), in order to select genotypes with high oil content and acceptable levels of the other characters. Twenty-two F6 lines and three checks were cultivated in three field trials - two in the municipality of Apodi, in the state of Rio Grande do Norte, and one in the municipality of Barbalha, in the state of Ceará, both in Brazil. The genetic parameters and the genetic gain from selecting 20% of the lines were estimated according to their means in each environment and in the group of environments. Regarding oil content, there is genetic variability, and the selection based on the overall mean is indicated, since this character showed high heritability, with 4.58% expected gain. The lines selected with this criterion have oil contents between 23.52 and 24.51%, which are higher than those of the Brazilian cultivar BRS Aroeira with the highest grain oil content (22.04%).


1990 ◽  
Vol 51 (1) ◽  
pp. 23-34 ◽  
Author(s):  
R. A. Mrode ◽  
C. Smith ◽  
R. Thompson

ABSTRACTSelection of bulls for rate and efficiency of lean gain was studied in a herd of Hereford cattle. There were two selection lines, one selected for lean growth rate (LGR) from birth to 400 days and the other for lean food conversion ratio (LFCR) from 200 to 400 days of age, for a period of 8 years. A control line bred by frozen semen from foundation bulls was also maintained. Generation interval was about 2·4 years and average male selection differentials, per generation were 1·2 and — 1·1 phenotypic standard deviation units for LGR and LFCR respectively.Genetic parameters and responses to selection were estimated from the deviation of the selected lines from a control line and by restricted maximum likelihood (REML) techniques on the same material. Realized heritabilities were 0·40 (s.e. 0·12) for LGR and 0·40 (s.e. 0·13) for LFCR using the control line. Corresponding estimates from REML were 0·42 (s.e. 0·10) and 0·37 (s.e. 0·14). The estimate of the genetic correlation between LGR and LFCR was about — 0·69 (s.e. 0·12) using REML.The estimates of direct annual genetic change using deviations from the control were 3·6 (s.e. 1·3) g/day for LGR and — 0·14 (s.e. 0·07) kg food per kg lean gain for LFCR. Corrsponding estimates from REML were similar but more precisely estimated. The correlated responses for LFCR in the LGR line was higher than the direct response for LFCR.


2013 ◽  
Vol 48 (4) ◽  
pp. 411-416 ◽  
Author(s):  
Cecília Khusala Verardi ◽  
Erivaldo José Scaloppi Junior ◽  
Guilherme Augusto Peres Silva ◽  
Lígia Regina Lima Gouvêa ◽  
Paulo de Souza Gonçalves

The objective of this work was to assess the genetic parameters and to estimate genetic gains in young rubber tree progenies. The experiments were carried out during three years, in a randomized block design, with six replicates and ten plants per plot, in three representative Hevea crop regions of the state of São Paulo, Brazil. Twenty-two progenies were evaluated, from three to five years old, for rubber yield and annual girth growth. Genetic gain was estimated with the multi-effect index (MEI). Selection by progenies means provided greater estimated genetic gain than selection based on individuals, since heritability values of progeny means were greater than the ones of individual heritability, for both evaluated variables, in all the assessment years. The selection of the three best progenies for rubber yield provided a selection gain of 1.28 g per plant. The genetic gains estimated with MEI using data from early assessments (from 3 to 5-year-old) were generally high for annual girth growth and rubber yield. The high genetic gains for annual girth growth in the first year of assessment indicate that progenies can be selected at the beginning of the breeding program. Population effective size was consistent with the three progenies selected, showing that they were not related and that the population genetic variability is ensured. Early selection with the genetic gains estimated by MEI can be made on rubber tree progenies.


Author(s):  
Rui Alberto Gomes Junior ◽  
Alessandra Ferraiolo de Freitas ◽  
Raimundo Nonato Vieira da Cunha ◽  
Antônio José de Abreu Pina ◽  
Higo Otávio Brochado Campos ◽  
...  

Abstract The objective of this work was to estimate the genetic parameters, correlations, and selection gains for the oil production of interspecific hybrids progenies between American oil palm, of ‘Manicoré’ origin, and oil palm, of ‘La Mé’ origin. Thirty-nine progenies were evaluated from the sixth to the ninth year after planting, for the productivity of fresh fruit bunches (PROD_FFB), oil content in the bunch (OCB), and palm oil productivity (PROD_OP). The genetic parameters and gains from direct (GDS) and indirect (GIS) selection were estimated for PROD_OP. High values of heritability for the CVg/CVe ratio indicated favorable conditions for the selection. With the selection of 20% of the progenies (selection in both sexes), the following estimates were obtained: 11.15% GDS for PROD_OP, 9.1% GIS for OCB, and 8.1% GIS for PROD_FFB. The PROD_OP of the progenies was of 6,175, 6,057, and 5,995 kg ha-1 per year with GDS and GIS for OCB and PROD_FFB, respectively. The restricted selection of the LM2T male genitor offspring resulted in 5.1% estimated GSD and in a mean of 5,800 kg ha-1 per year for PROD_OP. Selection gains for PROD_OP can be achieved immediately through the selection restricted to oil palm male genitors, and, in the medium and long term, through the interspecific reciprocal recurrent selection between American oil palm and oil palm populations.


2021 ◽  
pp. 17-22
Author(s):  
Afees Abiola Ajasa ◽  
Imre Füller ◽  
Barnabás Vágó ◽  
István Komlósi ◽  
János Posta

The aim of the current research was to estimate variance components and genetic parameters of weaning weight in Hungarian Simmental cattle. Weaning weight records were obtained from the Association of Hungarian Simmental Breeders. The dataset comprised of 44,278 animals born from 1975 to 2020. The data was analyzed using the restricted maximum likelihood methodology of the Wombat software. We fitted a total of six models to the weaning weight data of Hungarian Simmental cattle. Models ranged from a simple model with animals as the only random effect to a model that had maternal environmental effects as additional random effects as well as direct maternal genetic covariance. Fixed effects in the model comprised of herd, birth year, calving order and sex. Likelihood ratio test was used to determine the best fit model for the data. Results indicated that allowing for direct-maternal genetic covariance increases the direct and maternal effect dramatically. The best fit model had direct and maternal genetic effects as the only random effect with non-zero direct-maternal genetic correlation. Direct heritability, maternal heritability and direct maternal correlation of the best fit model was 0.57, 0.16 and -0.78 respectively. The result indicates that problem of (co-)sampling variation occurs when attempting to partition additive genetic variance into direct and maternal components.


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