Morphometric characteristics of Red Sokoto and Sahel goats in Maigatari Local  Government Area of Jigawa State

Adamu, Haruna; Ma’aruf, B.S.; Shuaibu, A.; Umar, Husain; Maigado, A.I.

doi:10.51791/njap.v47i4.62

Cited by 8 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, for estimating the live body weight of sheep and goats, several researchers have recommended using solely heart girth, owing to ease of use for field animals (Kumar et al, 2018; Mayaka et al, 1996; Mohammed & Amin, 1996; Myeni & Slippers, 1997; Nsoso et al, 2003; Ravimurugan et al, 2013, Singh et al, 2020; Slippers et al, 2000; Topai & Macit, 2004). In accordance with our findings, Adamu et al (2020), Adeyinka and Mohammed (2006), Kumar et al (2021), Fajemilehin and Salako (2008), Pesmen & Yardimci (2008) and Yilmaz et al (2013) suggested the use of both body length and heart girth as the most appropriate metrics for predicting live body weight.…”

Section: Resultssupporting

confidence: 91%

“…We observed similar estimates of means of body measurements in literature (Dudhe et al, 2015;Nsoso et al, 2004;Singh et al, 2020). Higher estimates (Abd-Allah et al, 2019;Pesmen & Yardimci, 2008) and lower estimates (Adamu et al, 2020;Sarma et al, 2020;Sowande et al, 2010;Thiruvenkadan, 2005) than in our study were also reported in different goat populations. Differences in estimates are attributed to genetic differences between breeds and variations in environments.…”

Section: Resultssupporting

confidence: 90%

“…In such areas where resources are scarce, predicting live weight using body measurements is feasible, quicker and less expensive (Nsoso et al, 2003). Several researchers have reported on the use of linear body measurements to estimate live weight in goats (Adamu et al, 2020;Adeyinka & Mohammed, 2006;Fajemilehin & Salako, 2008;Mayaka et al, 1996;Mohammed & Amin, 1996;Myeni & Slippers, 1997;Nsoso et al, 2003;Pesmen & Yardimci, 2008;Singh et al, 2020;Slippers et al, 2000) and in sheep (Kumar et al, 2018(Kumar et al, , 2021Ravimurugan et al, 2013;Topai & Macit, 2004;Yilmaz et al, 2013). Predicting body weights using simple measuring tape may help goat-herders to increase their income through the sale of kids.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimates of genetic parameters for linear body measurements and prediction of body weight in goat

Dige

Rout

Singh

et al. 2022

J Animal Breeding Genetics

View full text Add to dashboard Cite

The objective of this study is to estimate genetic parameters for linear body measurements along with their correlation to live weight with a focus on devising a scale to predict live weights from body measurement. A total of 142,564 records on body measures and live weights were collected from 8701 Jamunapari goats. Genetic parameters were obtained for body length (L), height at withers (H) and heart girth (G) from birth to adult stage by univariate and multivariate analysis using the average information restricted maximum likelihood method. The best model for body measures at birth included the additive effect of animal and dam along with their covariance and maternal environment, whereas for traits measured later in life, the maternal environment was not significant. After accounting for the direct maternal correlation (ram), the total heritability estimates for linear body measurements (L,H and G) at the preweaning and postweaning stages of growth ranged from 0.14 to 0.20. Significant genetic variability implies further scope for selection. The genetic correlations of live weight at birth, 3, 6, 9 and 12 months with corresponding L,H and G were high in magnitude indicating scope to select animals for higher weight using morphometric measurements. When weighing scales are unavailable in the field, prediction of weight using L and G was recommended [live weight = (0.291 × L) + (0.306 × G) − 16.8]. We recommend the use of body measurements in the Jamunapari goat breeding program owing to their high genetic correlation with corresponding live weights.

show abstract

Section: Resultssupporting

confidence: 91%

Section: Resultssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimates of genetic parameters for linear body measurements and prediction of body weight in goat

Dige

Rout

Singh

et al. 2022

J Animal Breeding Genetics

View full text Add to dashboard Cite

show abstract

“…Highest value was obtained between BL and TL (r= 0.947; p<0.05), lowest value was obtained between HG and TL (r= 0.055; p>0.05). This result is similar with the report of Adamu et al (2020) who reported that coefficient values observed were in general high, positive and significant except between WH and TL in male and between BW and UC, BCS and BL, WH, UL and UC in female. He also reported that highest observed in this study when BW is predicted from HG conform the report of Tsegaye et al (2013) that this trait (HG) is positively correlated with live weight (LW) and can indicate it with high precision (R 2 = 0.94).…”

Section: Table: 3 General Phenotypic Correlation Coefficient Between Body Weight (Kg) and Body Linear Measurements (Cm) Forsupporting

confidence: 92%

Effect of Age and Sex on Morphometric Measurements of Sahelian Goats in Faskari Local Government Area of Katsina State

Aliyu¹,

Rotimi²,

Galadima³

2021

FJS

View full text Add to dashboard Cite

This research was conducted to determine the effect of age and sex on morphometric measurements and estimate correlation between body weights and morphological traits of Sahelian goat in Faskari Local Government Area, Katsina state. Experimental animals aged from 1-5 years were used for this study and were identified using physical appraisal. Physically healthy of both sexes and non-pregnant goats were sampled. The pairs of permanent incisors in the dentition of the goat were used to determine age, body weight by using bathroom weighing scale (kg), linear measurements using flexible tailor’s measuring tape and sex using physical observations. The results obtained, showed that age had significant (P<0.05) effects on RH, EL, HoL and TL, non-significant (P˃ 0.05) effect was found on BW, NL and BL. Sex had significant effect on BW, BL, HG and HoL and non- significant effect (P˃ 0.05) was found on RH, EL, TL and NL. Correlation coefficient between body weight and linear measurement shows that BW was highly correlated (P<0.01) with BL, HG and NL. BW was slightly correlated with RH and it was negatively correlated EL and HoL.

show abstract

“…In most agrarian African settings, ownership of livestock, especially goats, is a measure of social status, cultural heritage, and form of insurance against crop failure [1]. Consequently, various goat breeds-Sahel, Maradi, Red Sokoto, Kano brown and West African Dwarf (WAD)-are widely reared for production of meat, milk or skin in Africa [2][3][4][5]. In Nigeria, people often refer to the goat as the "cattle of the poor" because of its importance in the provision of animal protein and the farmers' economic wellbeing.…”

Section: Introductionmentioning

confidence: 99%

Indiscriminate slaughter of pregnant goats for meat in Enugu, Nigeria: Causes, prevalence, implications and ways-out

UGWU

Njoga

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

Background The indiscriminate slaughter of pregnant goats (SPGs) undermines meat production and food security especially in developing countries. It also connotes animal cruelty, depletion of goat population and may enhance the spread of zoonotic pathogens inhabiting the female reproductive tract during carcass processing. Consequently, this study determined the causes and prevalence of slaughtering pregnant goats for meat in Enugu, Nigeria. The study also estimated the economic losses associated with SPGs, discussed the negative public health consequences and suggested the ways-out. Methods Structured, validated and pilot-tested questionnaire was used to ascertain the reasons for SPGs for meat among 78 willing and randomly selected respondents. The questionnaire survey was conducted in the form of interview. Pregnancy statuses of the goats slaughtered were ascertained by visual inspection and palpation of the eviscerated and longitudinally incised uteri and the horns for macroscopic evidence of pregnancy. Ages of the dams were estimated by dentition method. Estimation of the gestational age was performed by crown-rump length method. The study lasted for six months, comprised of three months (December to March) during the dry/hot season and another three months (May to August) during the wet/rainy season. Economic loss estimation was based on the current monetary values of a matured (30 kilogram) goat and one kilogram of chevon in Enugu, Nigeria; which was determined through market survey. Pearson’s Chi-square test was used to determine whether there were significant (P<0.05) statistical associations between SPGs and age and season. Results Major reasons adduced for SPGs were: economic hardship (41%), ignorance of the goat’s pregnancy status (21%), increased demand for chevon (13%) and feed scarcity during drought (11%). Of the 1,658 does examined during the six months study, 589 (35.5%) were pregnant. The majority (876/1658, 52.8%) of the female goats slaughtered were in their active reproductive age of ≤ 4 years, while 782 (47.2%) were aged > 4 years. Similarly, majority (1007/1658, 60.7%) of the does/nannies were slaughtered during the dry/hot season. A total of 907 foetuses at first (n = 332, 36.6%), second (n = 486, 53.6%) and third (n = 89, 9.8%) trimesters of gestation were recovered from the 589 PGs. Singleton, twin and triplet pregnancies were observed in 312 (53%), 236 (40%) and 41 (7%) PGs, respectively. About ₦34.44 million ($83,390) would have been earned if the foetuses were born alive and raised to maturity. Additionally, 19,136 kg of chevon, valued at ₦47,841, 000 ($115,838), which would have accrued from the wasted foetuses was also lost. Conclusion Considering the economic, zoonotic and livestock production implications of this work, frantic efforts to reduce SPGs in Enugu, Nigeria is imperative. This could be achieved through advocacy, goat farmers’ enlightenment, ante-mortem pregnancy diagnosis, provision of subsidized feed materials during the dry season and strict enforcement of the Nigerian Meat Edict law, which proscribes unapproved slaughter of gravid animals. These measures may improve food safety and security, improve goat reproduction and production, reduce protein malnutrition, limit dissemination of zoonotic pathogens during carcass processing and hence protect public health in Nigeria.

show abstract

Morphometric characteristics of Red Sokoto and Sahel goats in Maigatari Local Government Area of Jigawa State

Cited by 8 publications

References 0 publications

Estimates of genetic parameters for linear body measurements and prediction of body weight in goat

Estimates of genetic parameters for linear body measurements and prediction of body weight in goat

Effect of Age and Sex on Morphometric Measurements of Sahelian Goats in Faskari Local Government Area of Katsina State

Indiscriminate slaughter of pregnant goats for meat in Enugu, Nigeria: Causes, prevalence, implications and ways-out

Contact Info

Product

Resources

About