Rendimiento y composición láctea de la cabra Roja de Kalahari y rendimiento de sus cabritos en la zona húmeda

Adewumi, O. O.; Oluwatosin, B. O.; Tona, G. O.; Td, Williams; Olowofeso, O.

doi:10.21071/az.v66i256.2776

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…FUNAAB is located in the tropical rainforest zone in Nigeria within 7°10'N and 3°2'E. The area has a bimodal rainfall pattern with peaks in June and October, an average rainfall of 1100 mm, a mean ambient temperature of about 34°C and an average relative humidity of 82% 8 .…”

Section: Materials and Methods Experimental Sitementioning

confidence: 99%

Rumen Microbiology of West African Dwarf Goats Fed Cassava Peels-Based Diets with Varying Levels of Leucaena leucocephala

Olusegun,

Adekeye

2023

Trends Agric. Sci

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Background and Objective: In Nigeria, Leucaena leucocephala is a significant source of goat feed. Four iso-nitrogenous and iso-caloric diets were formulated for L. leucocephala to determine the effect of a diet containing L. leucocephala with varying levels (0, 5, 10 and 15%) on the rumen microbial count of West African Dwarf (WAD) goats in southwestern Nigeria. Materials and Methods: The 70 day trial consisted of four inclusion levels with four replicates making a total of 16 treatments with four WAD goats weighing 6.50±0.06 kg per treatment. Animals in each treatment were served wilted Panicum maximum cv Jacq. On the final day of the experiment, rumen fluid samples were taken for bacterial, protozoal and fungal counts investigation. Results: The goats fed a diet containing 5% of Leucaena had the highest (p#0.05) value for total anaerobic bacteria count (0.93×10 6 CFU mLG 1 ), whereas goats fed a diet containing 15% of Leucaena had the lowest (p#0.05) value (0.67×10 6 CFU mLG 1 ). Goats fed a feed containing 15 % Leucaena showed the highest levels of total fungus and protozoa, at 0.07 and 0.47 CFU mLG 1 , respectively.The least (p#0.05) value for the total protozoa count was recorded in the rumen of goats fed the control diet, which had a value of 0.27 CFU mLG 1 . Conclusion: According to data obtained, adding L. leucocephala to goat meals at a rate of 5% raised bacterial counts while lowering fungus counts. Consequently, it is advised that L. leucocephala be fed to WAD goats at a level of inclusion of 5%.

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Section: Materials and Methods Experimental Sitementioning

confidence: 99%

Rumen Microbiology of West African Dwarf Goats Fed Cassava Peels-Based Diets with Varying Levels of Leucaena leucocephala

Olusegun,

Adekeye

2023

Trends Agric. Sci

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Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats

Alejo

León-Jurado

Pieramati

et al. 2019

Italian Journal of Animal Science

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The objective of this study was to characterise the peak yield (PY), peak day (PD) and the persistency (P) of the lactation curve of Murciano-Granadina goats by Spline considering the variation factors (region, type of kidding, lactation number and season) and their levels. A total of 1,349,347 test-day records from 180,872 lactations, of 85,404 goats were used. The analysed data with Spline model was considered for adequate fit in lactation curves for others traits in these goats. All factors affected the scale and/or shape of the lactation curve. In the region factor, significant differences (SD, p < .05) were observed in terms of the total milk yield (TY), final persistency (FP) and total persistency (TP) variables in favour of Almeria versus Cordoba and Granada; the PD variables, PY and initial persistency (IP) did not show SD (NSD, p > .05) between regions. The type of kidding presented SD among its levels (evident between double versus single and triple) with the exception of the PY. The lactation number for the variables of PD, PY and TY from second to fifth lactation showed NSD among themselves; but it did in the case of the first. The P of first lactation was longer, with a decrease in subsequent lactations. In the season factor, PD, TY and P presented SD; where the PD was divided into two groups: late group (winter-spring) and early group (fall-winter). The P, PY and PD can be considered as an additional selection criterion and thus modify the lactation curve. HIGHLIGHTSThe biomodeling of individualized lactation curves is an important information resource for farmers and their breeding program. A conglomerate of microeffects such us climate, photoperiod, agroecological aspects, affect parameters of the lactation curve and their productions. It is preferable to achieve lactations with more emphasis on persistency in order to provide animal welfare and obtain adequate economic benefits. ARTICLE HISTORY

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Goat Milk Nutritional Quality Software-Automatized Individual Curve Model Fitting, Shape Parameters Calculation and Bayesian Flexibility Criteria Comparison

Inostroza

González

Landi

et al. 2020

Animals

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SPSS syntax was described to evaluate the individual performance of 49 linear and non-linear models to fit the milk component evolution curve of 159 Murciano-Granadina does selected for genotyping analyses. Peak and persistence for protein, fat, dry matter, lactose, and somatic cell counts were evaluated using 3107 controls (3.91 ± 2.01 average lactations/goat). Best-fit (adjusted R2) values (0.548, 0.374, 0.429, and 0.624 for protein, fat, dry matter, and lactose content, respectively) were reached by the five-parameter logarithmic model of Ali and Schaeffer (ALISCH), and for the three-parameter model of parabolic yield-density (PARYLDENS) for somatic cell counts (0.481). Cross-validation was performed using the Minimum Mean-Square Error (MMSE). Model comparison was performed using Residual Sum of Squares (RSS), Mean-Squared Prediction Error (MSPE), adjusted R2 and its standard deviation (SD), Akaike (AIC), corrected Akaike (AICc), and Bayesian information criteria (BIC). The adjusted R2 SD across individuals was around 0.2 for all models. Thirty-nine models successfully fitted the individual lactation curve for all components. Parametric and computational complexity promote variability-capturing properties, while model flexibility does not significantly (p > 0.05) improve the predictive and explanatory potential. Conclusively, ALISCH and PARYLDENS can be used to study goat milk composition genetic variability as trustable evaluation models to face future challenges of the goat dairy industry.

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Rendimiento y composición láctea de la cabra Roja de Kalahari y rendimiento de sus cabritos en la zona húmeda

Cited by 3 publications

References 14 publications

Rumen Microbiology of West African Dwarf Goats Fed Cassava Peels-Based Diets with Varying Levels of Leucaena leucocephala

Rumen Microbiology of West African Dwarf Goats Fed Cassava Peels-Based Diets with Varying Levels of Leucaena leucocephala

Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats

Goat Milk Nutritional Quality Software-Automatized Individual Curve Model Fitting, Shape Parameters Calculation and Bayesian Flexibility Criteria Comparison

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