Characterization of growth traits of Greenland and Silver coypus under captivity conditions

2005 ◽  
Vol 143 (2-3) ◽  
pp. 199-207 ◽  
Author(s):  
C. FAVERIN ◽  
C. A. MEZZADRA ◽  
H. M. FERNÁNDEZ ◽  
L. M. MELUCCI

Brody, Gompertz, Logistic, Richards and von Bertalanffy functions were compared as descriptors of growth in 319 coypus (Myocastor coypus) of Greenland and Silver varieties, from birth to 10–19 months of age. Several criteria were considered for the selection of the model: (a) bias in the asymptotic weight; (b) bias in birth weight; (c) error sum of squares; (d) error mean squares weighted by the number of animals converging in all functions; (e) determination coefficient. To adjust the curves NLIN procedure from SAS and iterative method of Marquardt were applied. A mixed model was used to analyse the parameters of the selected growth curve (asymptotic weight, A; constant of integration, B; and maturation rate, k) which included effects of farm, variety, sex, sire within farm and variety, reproductive status within sex, birth season and first order interactions. The effect of sire was considered as random. The von Bertalanffy function was selected and mean values for the parameters of this function were 8016 g and 0·008 g/g per day, for A and k respectively. There were differences in the estimated parameters between sexes; males had larger values of A and k than females.Weights at fixed ages (birth, weaning, 6–7 months) were analysed, as well as the final recorded weight and average postweaning gain. The model of analysis was similar to the previous one. There were no differences between varieties. Significant differences between sexes for almost all studied traits were detected. With age, weight difference between males and females increased. At 6 months of age, males were 37% heavier than females. Male average daily gain was higher than that of females, sexual dimorphism being evident in all analysed traits.

2004 ◽  
Vol 53 (1-6) ◽  
pp. 26-33 ◽  
Author(s):  
N. Aletà ◽  
A. Ninot ◽  
J. Voltas

Summary Results of early testing in Juglans regia performed over the period 1993-2002 are presented. A total of 37 progenies were evaluated for establishment, growth traits, and phenology at ages one and two during two or more sowing years in the nursery. Independent culling selection was applied on parental trees to the family-mean values using specific truncation points for establishment, diameter and total height. In addition, parental selection was performed on unbiased predictions (BLUPs) of parental breeding values using a multivariate mixed model analysis in order to account for the unbalanced nature of the entire data set. Genetic parameters (heritabilities, correlations) of juvenile traits were also estimated. Except for second year growth traits, the genetic control of most characters was quite high, with heritability estimates ranging from 0.51 (establishment) to 0.93 (flushing date). Growth performance and establishment did not bear a common genetic control according to non-significant genetic correlations, but a higher growth was typical of early flushing families. Changes in parental ranking for growth after comparison of familymean and BLUP-based estimates of parental performance were considerable. This observation, together with the larger proportion of culled progenies in the former method (about 70%), suggests a sizeable loss of genetic gain by using unadjusted parental means. It is concluded that current evaluation and selection schemes using family-mean values should be reconsidered by i) relaxing truncation points for selection on establishment and growth traits and ii) re-evaluating progeny test data using a mixed model framework to unveil valuable material otherwise neglected due to unaccounted environmental influence on family performance.


2016 ◽  
Vol 37 (4Supl1) ◽  
pp. 2749 ◽  
Author(s):  
Raphael Patrick Moreira ◽  
Maria Eugênia Zerlotti Mercadante ◽  
Victor Breno Pedrosa ◽  
Joslaine Noely dos Santos Gonçalves Cyrillo ◽  
Wignez Henrique

The objective of the study was to analyze nonlinear models that best fit the growth of Caracu cows. The experiment was conducted at the Instituto de Zootecnia, Centro APTA Bovinos de Corte, Sertãozinho, SP. Data of weight at birth to 63 months of age, from 500 females of the Caracu breed were used. The mean weight at birth (BW), weaning weight (W7), weight at 26 months (W26) and weight at 63 months (W63) were, respectively, 32 kg, 198 kg, 354 kg and 488 kg, providing an average daily gain (ADG) of 0.241 kg/day. The nonlinear models used were: Brody, Von Bertalanffy, Logistic and Gompertz. All of the models tended to describe accordingly the growth curve of these animals, but, according to the mean square residual and coefficient of determination adopted to select the most appropriate model, Brody showed the best fit. All models presented a high and negative correlation between the A and k parameters, indicating that the most precocious animals are less likely to reach elevated weights at 63 months of age. The effect of year of birth significantly affected (P < 0.01) the parameters A and k, concluding that the animal selection based on growth traits favored the increase of mature weight and growth precocity over the generations.


2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 269-269
Author(s):  
Madison T Henniger ◽  
Jim E Wells ◽  
Kristin E Hales ◽  
Amanda K Lindholm-Perry ◽  
Harvey C Freetly ◽  
...  

Abstract The effects of growth-promoting implant strategies have been well-defined in research for their ability to impact growth performance in beef cattle. Production-relevant microbiomes in the rumen have also been associated with growth traits. However, the role of implant strategies on the rumen microbiome is not understood. The objective was to determine if varying doses of implant hormones cause gain-associated ruminal microbial community shifts. To assess this, a completely randomized design was used and 336 fall-born steers from the germplasm evaluation population between 450–470 days of age at the U.S. Meat Animal Research Center (Clay Center, NE) were divided into two treatment groups: 1) a moderate implant strategy of Revalor-IS (80 mg trenbolone acetate, 16 mg estradiol) followed by Revalor-S (120 mg trenbolone acetate, 24 mg estradiol) and 2) an aggressive implant strategy of Revalor-IS followed by Revalor-200 (200 mg trenbolone acetate, 20 mg estradiol). Steers were fed the same diet (57.0% dry-rolled corn, 30% wet distiller’s grains with solubles, 8.0% alfalfa hay, 4.25% supplement, and 0.75% urea, DM basis). Body weights were collected once per month with initial weights of 439.8 ± 43.1 kg. After implants were administered for 84 days, rumen content was collected via orogastric tubing. Samples were sequenced targeting bacterial V1-V3 16S rRNA gene regions, V3-V4 for archaea, and partial 18S rRNA gene of protozoa. Sequences were processed in R utilizing Phyloseq and analyzed with DESeq2 to test differential abundances. Production data between implant strategies were analyzed using a mixed model ANOVA (SASv9.4, Cary, NC). Alpha- and beta-diversity between strategies did not differ for bacteria, archaea, or protozoa (P > 0.05). Average daily gain was different (P = 0.01; 1.72 vs 1.66 ± 0.02 kg, aggressive vs moderate, respectively); however, large microbial community shifts were not associated implant strategy. USDA is an equal opportunity provider and employer.


Author(s):  
Farm anullah ◽  
◽  
Momen Khan ◽  

The current study was completed to analyze the effect of natural components on various improvement affecting traits of Kajli sheep in Pakistan. For this reason, we apply two huge contemporary datasets in sheep to explore factors that influence the traits. Therefore, the generation information record of 13715 Kajli sheep lambing accumulated from 1994 to 2010 at Livestock Experimental Stations Khushab and Khizarabad, Punjab. Information records were genuinely analyzed through utilizing PC modified Mixed Model Harvey’s Least Squares and Maximum Likelihood. The two farms information data was analyzed by utilizing an animal model program. The factual model was incorporated to evaluate the Birth Weight (BW), 120 days at Weaning Weight (WW), Pre-Weaning Average Daily Gain (PRADG), Yearling Weight (YW) and Greasy Fleece Weight (GFW). Year of Birth (YOB), Birth Season (BS), Birth Types (BT) and sex was the fix effect in the model. Results indicated that, the overall general values for birth weight, weaning weight, yearling weight, pre-weaning weight and fleece weight were noted. Year of birth, type of birth, sex, and herd was influenced altogether significantly while, birth weight and greasy fleece weight, the period of birth showed no essential difference. In weaning weight and pre-weaning increment normally, year of birth, sort of birth and herd showed a critical contact except for sex. Male sheep were heavier than female sheep and single conceived sheep were also basically heavier than twins were during offspring birth. Results emulate that the Kajli sheep breed can be improved on through selection and further developed management. The cascade type of influence of the current investigation has levelheaded ramification not just for sheep farming by and by just as for intensified associate of boundaries which definitely convince deviation of weight, weight has become itself essential forecaster of in a matter of seconds wellness results. These outcomes displayed there are complex associations among hereditary qualities and ecological elements of parental, placental and fetal beginning. These are profoundly affected traits by maternal sustenance, genes, be concerned, the executive, environment, occasional diversity of seasons.


2020 ◽  
Vol 47 (5) ◽  
pp. 213-226
Author(s):  
B. O. Omotosho ◽  
M. N. Bemji ◽  
K. Bamisile ◽  
M. O. Ozoje ◽  
M. Wheto ◽  
...  

This study focused on comparing growth traits (body weights at birth, 3-month weaning and 6-month post-weaning) as well as growth curves of Kalahari Red (KR), a newly introduced goat breed in Nigeria and West African Dwarf (WAD) goat semi-intensively managed. Data on growth traits and weekly live weights were collected from 124 kids consisting of 61 KR and 63 WAD goats. The data were subjected to least squares analysis of variance to evaluate the effects of breed, sex, season, birth type and parity. The results showed that KR kids exceeded WAD kids in body weights at birth (2.30±0.06 kg vs 1.56±0.06 kg), 3-month weaning (8.88±0.57 kg vs 3.88±0.20 kg) and 6-month post-weaning (13.97±0.86 kg vs 5.05±0.37 kg). Corresponding pre-weaning average daily gain (ADG) estimates were 84.44±2.44 g and 31.73±1.16 g and post-weaning ADG were 61.88±1.81g and 24.84±1.21 g. Growth patterns of the two breeds were described using four different non-linear models: Brody, Gompertz, Logistic and Von Bertalanffy. Models were compared using parameter estimates (asymptotic weight 'A', integration constant 'B' and rate of maturity 'k'). Model with good fit was adjudged using coefficient of determination (R2) and residual mean squares (RMS). The KR goats had higher parameter estimates than WAD goats. Von Bertalanffy model had the highest 'A' estimates (24.24±0.94 kg vs 11.99±0.54 kg for KR and WAD goats). Gompertz had highest 'B' and 'k' estimates (5.37±0.20 vs 3.38±0.09) and (0.19±0.01 vs 0.13±0.01) for KR and WAD goats. All four growth models generally had R2 exceeding 99% and low RMS, hence giving good fit to the observed growth data. They can be used to implement feeding and management decisions that will optimize productivity. Information on superior growth performance of the Kalahari Red goat can be utilized to further investigate genetic improvement of the indigenous West African Dwarf population through crossbreeding.     Cette étude s'est concentrée sur la comparaison des traits de croissance (poids corporel à la naissance, sevrage à 3 mois et 6 mois après le sevrage) ainsi que les courbes de croissance du Kalahari Red (KR), une race de chèvre nouvellement introduite au Nigéria et West AfricanDwarf (WAD) chèvre gérée de manière semi-intensive. Des données sur les traits de croissance et le poids vif hebdomadaire ont été collectées auprès de 124 chevreaux comprenant 61 chèvres KR et 63 chèvres WAD. Les données ont été soumises à une analyse des moindres carrés de la variance pour évaluer les effets de la race, du sexe, de la saison, du type de naissance et de la parité. Les résultats ont montré que les enfants KR dépassaient les enfants WAD en poids corporel à la naissance (2.30 ± 0.06 kg vs 1.56 ± 0.06 kg), au sevrage de 3 mois (8.88 ± 0.57 kg vs 3.88 ± 0.20 kg) et 6 mois après le sevrage (13.97 ± 0.86 kg contre 5.05 ± 0.37 kg). Les estimations correspondantes du gain quotidien moyen (ADG) présevrage étaient de 84.44 ± 2.44 g et 31.73 ± 1.16 g et l'ADG post-sevrage était de 61.88 ± 1.81 g et 24.84 ± 1.21 g. Les modèles de croissance des deux races ont été décrits à l'aide de quatre modèles non linéaires différents :Brody, Gompertz, Logistic et Von Bertalanffy. Les modèles ont été comparés à l'aide d'estimations de paramètres (poids asymptotique « A », constante d'intégration « B » et taux de maturité « k »). Le modèle avec un bon ajustement a été évalué en utilisant le coefficient de détermination (R2) et les carrés moyens résiduels (RMS). Les chèvres KR avaient des estimations de paramètres plus élevées que les chèvres WAD. Le modèle de Von Bertalanffy présentait les estimations « A » les plus élevées (24.24 ± 0.94 kg contre 11.99 ± 0.54 kg pour les chèvres KR et WAD). Gompertz avait les estimations « B » et « k » les plus élevées (5.37 ± 0.20 vs 3.38 ± 0.09) et (0.19 ± 0.01 vs 0.13 ± 0.01) pour les chèvres KR et WAD. Les quatre modèles de croissance avaient généralement un R2 supérieur à 99% et un RMS faible, ce qui correspondait bien aux données de croissance observées. Ils peuvent être utilisés pour mettre en œuvre des décisions d'alimentation et de gestion qui optimiseront la productivité. Les informations sur la performance de croissance supérieure de la chèvre rouge du Kalahari peuvent être utilisées pour étudier plus avant l'amélioration génétique de la population indigène de nains d'Afrique de l'Ouest par croisement.  


2019 ◽  
Vol 34 (1) ◽  
pp. 55
Author(s):  
Nuzul Widyas ◽  
Sigit Prastowo ◽  
Tristianto Nugroho ◽  
Adi Ratriyanto

Heterosis is often utilized as a success indicator in a crossbreeding program. It is defined as the deviation of the crossbred means relative to their parental breeds. Heterosis mechanism is highly dependent on the genetic factors and thus, we incorporated genetic information in its estimation. The objective of this article was to compare heterosis estimated with conventional and mixed model approaches. In total, phenotypes of 3804 individuals were recorded. Data were obtained from a crossbreeding experiment involving Boer bucks and Jawarandu does. Observed traits were birth weight, weaning weight and average daily gain. Conventional and mixed model methods were used to estimate the heterosis. The heterosis values (%) between B×B vs B×J, estimated with conventional method were -11.38, -10.51 and -10.39; with mixed model were -6.23, -9.27 and -9.68 for BW, WW and ADG respectively. Heterosis values in B×(B×J) relative to B×B, estimated with conventional method were -6.16, -10.35 and -11.69; whereas with mixed model were -8.01, -10.82 and -9.14 for BW, WW and ADG respectively. Conventional method tends to underestimate the means phenotype with lower standard errors compared to mixed model analysis results in all traits. Conventional method also introduces biased heterosis estimates compared to the mixed model. Conventional method ignores any potential effects in the estimation procedures; whereas mixed model approach incorporates all the systematic and random effect including family relationship information. Thus, mixed model produced more reliable results in genetic parameters estimation. We recommend employing mixed model analysis in estimating heterosis.


2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 459-460
Author(s):  
Frank W Abrahamsen ◽  
Nar Gurung ◽  
Woubit Abdela ◽  
Gopal Reddy ◽  
Kim Mullenix

Abstract Hempseed meal (HSM) is a byproduct of hemp oil production and is high in crude protein, fiber, and fat, making it a potential feedstuff for ruminants. The objective of this study was to evaluate the effect of HSM supplementation on growth performance, rumen fermentation and blood chemistry profile of growing meat goats. Forty castrated, Boer cross goats were randomly assigned to one of the four treatments (n = 10): control, 10%, 20%, and 30% HSM supplementation. Data collected over a period of a 60-day feeding trial were analyzed utilizing the mixed model analysis function of SYSTAT, version 13. The result revealed total live weight gain decreased with the increasing levels of HSM supplementation 10.75, 9.53, 8.48, and 7.80 kg, for 0, 10, 20, and 30%, respectively. Average daily gain followed the same trend 0.179, 0.159, 0.141, and 0.13 kg, with a significant difference (P < 0.05) observed between the control and 30 % supplementation. Conversely, feed to gain ratio increased with the increasing levels of supplementation 9.0, 10.2, 11.9, 12.2, likewise a significant difference was observed (P < 0.05) between the control and 30% supplementation. Acetic, propionic, butyric, valeric, iso-valeric, and iso-butyric acid concentrations as well as the total VFA concentration decreased significantly (P < 0.05) with the increasing level of supplementation. Acetic to propionic acid ratios increased with increasing level of supplementation 3.43, 4.36, 4.52, and 4.59, significant differences (P < 0.05) were observed between control-20% and 30% HSM group. Serum glucose concentration decreased with an increasing rate of HSM supplementation while BUN concentration increased with no significant differences. These findings provide new insights into the feeding value of HSM for meat goats; however, further research needs to be conducted to determine the optimal level of supplementation.


BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Pattarapol Sumreddee ◽  
El Hamidi Hay ◽  
Sajjad Toghiani ◽  
Andrew Roberts ◽  
Samuel E. Aggrey ◽  
...  

Abstract Background Although inbreeding caused by the mating of animals related through a recent common ancestor is expected to have more harmful effects on phenotypes than ancient inbreeding (old inbreeding), estimating these effects requires a clear definition of recent (new) and ancient (old) inbreeding. Several methods have been proposed to classify inbreeding using pedigree and genomic data. Unfortunately, these methods are largely based on heuristic criteria such as the number of generations from a common ancestor or length of runs of homozygosity (ROH) segments. To mitigate these deficiencies, this study aimed to develop a method to classify pedigree and genomic inbreeding into recent and ancient classes based on a grid search algorithm driven by the assumption that new inbreeding tends to have a more pronounced detrimental effect on traits. The proposed method was tested using a cattle population characterized by a deep pedigree. Results Effects of recent and ancient inbreeding were assessed on four growth traits (birth, weaning and yearling weights and average daily gain). Thresholds to classify inbreeding into recent and ancient classes were trait-specific and varied across traits and sources of information. Using pedigree information, inbreeding generated in the last 10 to 11 generations was considered as recent. When genomic information (ROH) was used, thresholds ranged between four to seven generations, indicating, in part, the ability of ROH segments to characterize the harmful effects of inbreeding in shorter periods of time. Nevertheless, using the proposed classification method, the discrimination between new and old inbreeding was less robust when ROH segments were used compared to pedigree. Using several model comparison criteria, the proposed approach was generally better than existing methods. Recent inbreeding appeared to be more harmful across the growth traits analyzed. However, both new and old inbreeding were found to be associated with decreased yearling weight and average daily gain. Conclusions The proposed method provided a more objective quantitative approach for the classification of inbreeding. The proposed method detected a clear divergence in the effects of old and recent inbreeding using pedigree data and it was superior to existing methods for all analyzed traits. Using ROH data, the discrimination between old and recent inbreeding was less clear and the proposed method was superior to existing approaches for two out of the four analyzed traits. Deleterious effects of recent inbreeding were detected sooner (fewer generations) using genomic information than pedigree. Difference in the results using genomic and pedigree information could be due to the dissimilarity in the number of generations to a common ancestor. Additionally, the uncertainty associated with the identification of ROH segments and associated inbreeding could have an effect on the results. Potential biases in the estimation of inbreeding effects may occur when new and old inbreeding are discriminated based on arbitrary thresholds. To minimize the impact of inbreeding, mating designs should take the different inbreeding origins into consideration.


Molecules ◽  
2021 ◽  
Vol 26 (9) ◽  
pp. 2574
Author(s):  
Lahcen Hssaini ◽  
Francisca Hernandez ◽  
Manuel Viuda-Martos ◽  
Jamal Charafi ◽  
Rachid Razouk ◽  
...  

In the present study, chromatic coordinates, phenolic acids, flavonoids and antioxidant capacity assessed by 1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonate (ABTS) and lipid peroxidation inhibition capacity (LPIC) essays and their relative IC50 were investigated in 25 fig cultivars growing in Morocco. The aims of this study were to determine (i) the variation in these compounds among light and dark-colored cultivars, (ii) their partitioning between fruit peel and pulp and (iii) to display network connections among these variables. Twelve phenolic compounds (PCs) were isolated in peel extract versus eight in pulp samples. Anthocyanins, mainly cyanidin-3,5-diglucoside and cyanidin-3-O-rutinoside, were the predominant compounds in peels, where the mean concentrations were 75.90 ± 18.76 and 77.97 ± 18.95 µg/g dw, respectively. On the other hand, (−)-epicatechin and cyanidin-3-O-rutinoside were the major compounds in the pulp extracts, where the mean values were 5.23 ± 4.03 and 9.01 ± 5.67 µg/g dw, respectively. A two-dimensional hierarchically clustered heatmap was applied to the dataset to explore correlations in the dataset and similarities between cultivars, without dimensionality reduction. Results showed that anthocyanins, particularly pelargonidin-3-O-rutinoside, cyanidin-3,5-diglucoside and cyanidin-3-O-rutinoside, were the main contributors to the peels’ free radical scavenging capacity. This capacity was particularly higher in the peel of dark-colored figs compared to the fruit pulp. The local cultivar “INRA 1301” showed the most promising phenolic profile due to its very high levels of almost all detected PCs, especially (−)-epicatechin, quercetin-3-O-rutinoside, quercetin-3-O-glucoside, cyanidine-3,5-diglucoside, cyanidine-3-O-rutinoside and pelargonidin-3-O-rutinoside (54.66, 141.08, 35.48, 494.08, 478.66, 12.56 µg/g dw, respectively). Having the darkest figs in the collection (L* = 25.72, c* = 22.09 and h° = 20.99), this cultivar has also combined promising IC50 values, which were of 19.85, 40.58 and 124.78 µg/mL for DPPH, ABTS and LPIC essays, respectively.


2018 ◽  
Vol 41 (1) ◽  
pp. 42552
Author(s):  
Fatima Kouri ◽  
Salima Charallah ◽  
Amina Kouri ◽  
Zaina Amirat ◽  
Farida Khammar

 This research aims to assess the performances of lactating Bedouin goat under arid conditions, focusing on the relationship of milk yield with body and udder morphology and growth traits. Fourteen goats and their kids were followed during early lactation (90 days post-partum). Mean daily milk yield was 0.56 kg. Milk fat, proteins, lactose, solids non-fat and minerals were respectively 34.9, 38.9, 48.8, 107 and 6.7 g L-1. Mean kids’ birth weight, adjusted body weight at 90 days of age and average daily gain were respectively 2 kg, 6.6 kg and 51.4 g day-1. Daily milk yield was correlated with goats’ body weight, withers height, rump height, udder width and udder circumference but not with linear udder score and growth performances. These results provide important data about the milk production of Bedouin goat emphasizing its correlation with body and udder morphological traits which can help to elaborate a specific breeding program for this breed. 


Sign in / Sign up

Export Citation Format

Share Document