Phenotypic and genetic parameters for selected production and reproduction traits of Mpwapwa cattle in low-input production systems

Chawala, Aluna Raphael; Banos, Georgios; Komwihangilo, D. M.; Peters, A. R.; Chagunda, M. G. G.

doi:10.4314/sajas.v47i3.7

Cited by 17 publications

(17 citation statements)

References 22 publications

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“…EBVs for the prolific traits reflected the prolific prediction of offspring in the optimal potency if kept in the same environment as the ancestor. It confirms previous studies that a selection of doe and buck candidates must use EBV values for subsequent breeding programs to accelerate genetic progress in the village breeding center (Chawala et al, 2017;Gizaw et al, 2011) and to establish sustainable breeding for national scale (Aljumaah, 2019).…”

Section: Estimation Of Breeding Values (Ebvs) Of Prolific Potencysupporting

confidence: 87%

The Prolific Variation, Body Morphometrics, and Breeding Value of Indonesian Local Etawah Goat Based in East Java

Mudawamah

Ciptadi

Retnaningtyas

2021

JAP

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A crucial trait of a high economic value of goats is calving to more than one kid (prolificacy potency). The high prolificacy potency (> 1 kid) has a higher income compared to single kids. This study described the potential of Indonesian Local Etawah Goat (ILEG) for prolific trait and the morphometric of body and breeding values in various environments as a basis for selection. It involved smallholder farmers who breed ILEG does from 14 villages in East Java. The research was conducted on a field survey to obtain primary data about the phenotypic superior ILEG goats based on the status of the prolific trait. The study used 520 does with 1347 prolific records obtained. The results showed that the prolificacy values ranged from 2.12-1.42 heads/calving (medium to high category). The variation of prolificacy was 0.53, and the breeding values of the prolificacy trait were 1.48-1.74. The average of body morphometrics was varied with the following details. Chest circumference was 81.06 + 4.63 cm, body length was 76.64 + 4.33 cm, shoulder height was 75.34 + 5.83 cm and ear length were 27.44 + 3.02 cm. This study concluded that the prolific rate was medium to high category. The prolific variation was higher than body morphometry variation, and the prolificacy EBVs of breeding villages divided into four unique pattern boxplots. The prolific trait could be the basis for new considerations in the ILEG breeding program, either through selection or mating.

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Section: Estimation Of Breeding Values (Ebvs) Of Prolific Potencysupporting

confidence: 87%

The Prolific Variation, Body Morphometrics, and Breeding Value of Indonesian Local Etawah Goat Based in East Java

Mudawamah

Ciptadi

Retnaningtyas

2021

JAP

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“…However, it is higher than the means reported for the same breed in other countries (Salem et al, (2006), Rahbar et al, (2016), Chawala et al, (2017) and Brzakova et al, (2019).…”

Section: Resultscontrasting

confidence: 60%

“…The overall mean LL for all lactations was 304d lactation length was generally similar compared by standard 305 days. The ongoing study was higher than previous studies on Mpwapwa dairy cattle and Holstein Friesian cattle were 271.4d and 299d, respectively recorded by Chawala et al, (2017) and Ulutas and Sezer (2009).…”

Section: Resultsmentioning

confidence: 53%

“…The components of variance and genetic parameters are key factors in predicting the selection response to a particular breeding program. The heritability (h 2 a) of fertility characteristics in dairy cattle is less economic than many others important attributes (Chawala et al, 2017). Decreased the heritability (h 2 a) of fertility traits indicate that the herd effect, Management and other environmental impacts is higher than the genetic background.…”

Section: Introductionmentioning

confidence: 99%

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Genetic Assessment for some Productive and Fertility Traits Using Maximum Likelihood (REML) Of Friesian Cows in Egypt

Ebrahim¹

2019

Journal of Animal and Poultry Production

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This study aimed to evaluate the genetic improvement program of the Friesian cows. SAS program was used to calculate averages and significant effect, and (REML) program was used to estimate genetic parameters for productive traits lifetime milk yield (LTMY), daily milk yield (DMY), Lactation Length (LL) and Lactation number complete (LNC), and fertility traits days open (DO) and calving interval (CI). The least square means of LTMY, DMY, LL, LNC, DO and CI were 17546 (Kg), 12(Kg), 304 (d), 3.5 (lactations), 78 (d) and 379(d), respectively. The effect of the month, year of calving and age at first calving (AFC) were significant for all the traits except, the farm was non-significant to DMY. Estimates of the heritability (h2a) were 0.09, 0.44, 0.24 and 0.34 for LTMY, DMY, LL and LNC, respectively, whereas 0.13 and 0.17 for DO and CI, respectively. High h2a of productivity traits, particularly DMY, emphasized the possibility of achieving a significant rate of genetic improvement in this trait through selection program. The genetic correlations were positive ranging from 0.02 to 0.76 , except CI with (DMY, LL and LNC) were negative and ranging from-0.07 to-0.76. The highest genetic and phenotypic correlation between DMY and LTMY. The low genetic value of these fertility traits reflected the lack of patients' genetic advancement for these traits while, phenotypic correlation estimates were positive except reproductive traits with some productive traits. Repeatability estimates are few and close to the heritability value due to the small presence of permanent environmental variation, confirming the unpredictability of the cow from its current records of fertility traits.

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“…The full expression of an animal's genetic potential in terms of milk production and reproductive performance depends on the provision of adequate nutrition [22]. Genetic potential, however, is not the guiding principle for farm optimization by SDFs, who have limited access to additional feed resources [15,81]. Therefore, for these SDFs and development agents alike, the fundamental challenge is to develop a combination of animals and feeds that assures satisfactory levels of growth, reproduction and lactation.…”

Section: Seasonality: Implications For Researchmentioning

confidence: 99%

Effects of Season Variation on Water, Feed, Milk Yield and Reproductive Performance of Dairy Cows in Smallholder Farms in Eastern Africa

Mudavadi

Emmanuel

Charles

et al. 2020

JAERI

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Aim: The smallholder dairy industry in Eastern Africa continues to be characterized by seasonality driven milk fluctuations and reproductive performance of dairy cows. In this review, we present important effects of changes in seasons on water, feed quantity and quality, milk yield and reproductive performance of dairy cows in smallholder dairy farms. Methods: We considered peer-reviewed publications from 1990 to 2019, and extracted any information pertaining to the effects and intensity of changes in seasons and implications on water, feed quality and quantity, milk yield and reproductive performance. Results: Seasonal variation in rainfall, characteristic of the East Africa region, is strongly reflected in cropping and feeding calendars. Hence, 305-days lactation milk production per cow in Eastern Africa ranges from 850-3150 kg/cow/year, which has not increased, partly because of lack of improvement in nutrition and management, but also due to slow genetic selection of breeds that matches available feed to milk yield and reproductive performance. High milk fluctuations arise mostly because of farmers’ dependence on rainfall for feed production and rarely make provisions for preserving fodder for the dry season, as there isn’t adequate forage (fodder and pasture) even during the wet season. Conclusion: For the smallholder dairy farmers to remain competitive, it is important to increase the dairy value chain capability to manage implications of changes in seasons on milk yield and reproduction. Therefore, in order to overcome the current seasonal changes, we have discussed technological interventions in adoption of practical, sustainable farmer-led strategies for optimizing water and feed production, milk yield and reproductive performance in Eastern Africa. We have also identified knowledge gaps where research is needed to guide dairy value chain stakeholders on how to ameliorate current seasonal changes or that we expect will occur in the future.

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Phenotypic and genetic parameters for selected production and reproduction traits of Mpwapwa cattle in low-input production systems

Cited by 17 publications

References 22 publications

The Prolific Variation, Body Morphometrics, and Breeding Value of Indonesian Local Etawah Goat Based in East Java

The Prolific Variation, Body Morphometrics, and Breeding Value of Indonesian Local Etawah Goat Based in East Java

Genetic Assessment for some Productive and Fertility Traits Using Maximum Likelihood (REML) Of Friesian Cows in Egypt

Effects of Season Variation on Water, Feed, Milk Yield and Reproductive Performance of Dairy Cows in Smallholder Farms in Eastern Africa

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