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. 2021 Mar 25;16(3):e0248779. doi: 10.1371/journal.pone.0248779

Phenotypic ranking experiments in identifying breeding objective traits of smallholder farmers in northwestern Ethiopia

Oumer Sheriff 1,2,3,*, Kefyalew Alemayehu 2,3, Aynalem Haile 4
Editor: Dawit Tesfaye5
PMCID: PMC7993801  PMID: 33765002

Abstract

We executed two live animal ranking experiments, own-flock and group-animal ranking, to identify the breeding objectives of Arab and Oromo goat keepers in northwestern Ethiopia as a preliminary step towards designing sustainable breeding programs for two goat populations. In the own-flock ranking experiment, a total of 147 households, out of which 46 were Arab and 101 were Oromo goat keepers that live in semi-arid and sub-humid agroecologies respectively, were visited at their homesteads and were asked to choose their first best, second best, third best and the most inferior does from their own flock. The reasons of ranking and life history of the does (age, previous production and reproduction information) were inquired and recorded; live body weight and some linear body measurements were taken. In the group-animal ranking experiment, 12 breeding does and 12 breeding bucks from Arab goats and the same number of animals from Oromo goats were randomly selected. Life history of selected does and bucks (age, birth type, libido and temperament) were inquired from the owners. The selected animals were randomly grouped into four in Arab goats (three animals per group) and the same was applied in Oromo goats. Twelve farmers for Arab goats and the same number of farmers for Oromo goats who have not known the experimental animals were invited to do the ranking. Each person ranked the three animals in each group as 1st, 2nd and 3rd, giving reasons of ranking. After a first round of ranking, s/he was then provided with the history of each individual animal and asked whether s/he would consider re-ranking them. This procedure was continued eight times until a person covered all groups of does and bucks. It was found out that in own-flock ranking experiment, keepers focus on productive, reproductive and behavioral traits (such as body size, mothering ability, twinning rate, kidding interval and temperament) while in group-animal ranking experiment, there was a general tendency to focus on observable physical traits like coat color, body size and body conformation. Simultaneous use of both own-flock and group-animal ranking experiments is advisable to identify breeding objective traits in production systems where record keeping is absent.

Introduction

There are about 36.81 million goat populations in Ethiopia, of which 99.97% are local breeds [1]. Most of them are found in large flocks in arid and semi-arid lowlands while very small flock sizes are widely distributed in the highlands [2]. Goats play an important role in the smallholders’ farming systems, for instance, they provide tangible (cash, milk, meat, fiber and manure) and intangible benefits (prestige, saving, insurance, cultural and ceremonial purposes) [3].

Given the presence of large number of goats and their diverse functions, the productivity of this valuable genetic resource is generally low. For instance, in the years (1999–2008), the average carcass weight produced from a yearling goat was only 8 kg; one of the lowest compared to the world average (12 kg) [4]. Likewise, the dressing percentage (DP) at one year of age is also very low (42–45%) [5]. The causes for poor performance of indigenous goats could be attributed to various interrelated factors [6, 7]. Among them, lack of suitable breeding programs is an important constraint.

Identifying the smallholder farmers’ breeding objective traits is crucial to design appropriate breeding programs [8, 9]. Four different methods have been implemented to identify the breeding objective traits; for sheep and goats in Ethiopia. These include semi-structured questioner, choice card experiment, group discussion and ranking of live animals. While the first three were often used by many scholars [8, 1014], the last method was brought forth by [10]. It has two forms: ranking of own animals with known history and ranking of animals with unknown history. One can use combination of the methods to determine the breeding objective traits for a given breed. Detailed descriptions of the methods are given elsewhere [10, 15].

Benishangul Gumuz region, our study area, is found in the northwestern lowlands of Ethiopia. The region is among the major goat production areas in the country, where Arab and Oromo goat populations and their crosses with other indigenous goats are widely distributed [16, 17]. The official census recorded 440,719 goats in 2015 [18] which are mostly produced in small familial units (on average eleven goats/household) for sale, own consumption, saving and cultural importance [13]. It can be said that the goat populations, including the study area, are untapped resources with very little research efforts. The breeding objective traits of the local goat keepers were not empirically identified and defined. Farmers simply select animals based on morphological features and production characteristics. This as it is, the local goat populations are noted for their low productivity [19]. The present study was therefore aimed at identifying breeding objective traits of Arab and Oromo goat keepers in northwestern Ethiopia, using own-flock and group-animal ranking approaches, as a preliminary step towards designing sustainable breeding.

Materials and methods

Ethics approval and consent to participate

The current study and the proposed parent study were approved by Bahir Dar University College of Agriculture and Environmental Studies (BDUCAES) and Bahir Dar University Biotechnology Research Institute (BDUBRI). Following endorsement by the BDUCAES and BDUBRI, Assosa University (AsU) was informed about the objectives of the study through a support letter (Ref. 1/2241/134 dated back to November 13, 2017) from BDUCAES. After reviewing the proposal, AsU wrote a permission and support letter to agricultural and rural development offices of Bambasi and Homosha districts. Then, the corresponding author of this paper and four development agents from the two districts selected the goat owners for the present study. Finally, the goat owners were informed about the research and asked for verbal consent to confirm us to take the morphometric measurements on the selected goats. Four independent peasant association administrators acted as witnesses for voluntary informed decision making of the goat owners.

Description of the study area

Detailed descriptions of the study areas and the goat populations found in the study areas were given elsewhere [13, 16]. In brief, the study was conducted in Bambasi and Homosha districts of Benishangul Gumuz region, northwestern Ethiopia. The districts were purposively selected to represent two different agroecologies, farming systems and goat populations. In each district, two peasant associations (PAs)—the lowest administrative units in Ethiopia, (Tumet and Sherkole from Homosha district and Bambasi 02 and Mutsa 01 from Bambasi district) were selected based on goat population size, presence of communal grazing areas, relative significance of goats to the livelihood of the communities, access to market and road. The number of sampled households was determined following [13]. Accordingly, the calculated number of households were 25 (Sherkole), 21 (Tumet), 42 (Bambasi 02) and 59 (Mutsa 01). This makes the total number of households covered in this study to be 147 (i.e., 46 from Homosha district and 101 from Bambasi district). Finally, households who owned at least four adult goats with a minimum of one year experience in goat husbandry and willing to participate in community-based breeding programs were identified. The list was prepared in each selected PA with the help of development agents. Respondents were selected from the prepared list using systematic random sampling technique until the calculated sample size of each PA was maintained.

Communities in Bambasi are mainly sedentary agriculturalists who keep Oromo goats–named after the Oromo community. These goats are meat type and are adapted to sub-humid agroecology. Maize, sorghum, finger millet, teff, haricot bean and sesame are among the crops produced in the area. Homosha is semi-arid area characterized by limited crop production due to poor soil fertility and unreliable rainfall. The Arab goats–named after the Arab/Berta community–predominate in the area.

Own-flock ranking experiments

The data for this study were collected from January to February 2019. During the data collection, goat keepers were visited early in the morning at their homestead before their goats were let out for grazing. The goat keepers were asked to choose their 1st, 2nd and 3rd best and the most inferior does among the breeding does in their flock. Reasons for the ranking and life history of the ranked does (age, number of kidding, twinning ability, number of kids born per kidding and number of kids weaned) were inquired and recorded. As there are no records kept by the goat keepers in the study areas, family members who had participated in the ranking exercises were reminding each other about the history of their animals.

Body weight (BW) and linear body measurements (LBMs) such as body length (BL), chest girth (CG), wither height (WH) and rump height (RH) were taken from each animal as described by FAO (2012). BW is the fasted live body weight (in kg); BL is the horizontal distance (in cm) from the point of shoulder to the pin bone; CG is the circumference of the body (in cm) immediately behind the shoulder blades and perpendicular to the body axis; WH is the vertical height (in cm) from the bottom of the front foot to the highest point of the shoulder and RH is the vertical height from the bottom of the back foot to the highest point of the rump.

BW (kg) was recorded using suspended spring balance with 50 kg capacity and a precision of 200 g. Weighing sacks were used to lift goats during the BW measurements. The height measurements (cm) were taken using a graduated measuring stick while the length, width and circumference measurements (cm) were measured with plastic measuring tape (1.50 m long with the precision of 2 cm). All measurements were taken after restraining and holding the goats in their natural position and before they were released for grazing to avoid the effect of feeding and watering on the goats’ size and conformation [20].

Group-animal ranking experiments

In these experiments, twelve breeding does and twelve breeding bucks from the Arab goats and the same number of does and bucks from the Oromo goats were randomly selected and marked. To avoid repeated measurements, the does were chosen from the own-flock ranking experiments covering all ranks. The information previously obtained from the owner (age, number of kidding, twinning ability, number of kids born per kidding and number of kids weaned) and the phenotypic measurements recorded during the own-flock experiments were used as life history for each selected doe. Similarly, the life history of the selected bucks (age, birth type, libido and temperament) and body weight measurements were inquired and recorded.

The selected animals were brought to a central place in each district and randomly assigned into groups. Animals of same sex were randomly assigned to four groups in Arab goats (three animals each) and the same was applied in Oromo goats. Twelve farmers for Arab goats and 12 farmers for Oromo goats, who have not known the selected animals, were then invited to rank the animals. Each farmer was inquired to rank the three animals in each group as 1st, 2nd and 3rd, and the reasons of ranking. The farmers were then provided with the history of each individual animal and asked whether they would re-rank the animals or not. This procedure was continued eight times until a farmer covered all groups of the animals.

Data management and analysis

The data collected from the study area were arranged, coded and managed in Microsoft-Excel spread sheet for further analysis. Since the responses of the goat keepers for both own-flock and group-animal ranking experiments were open ended, reasons for ranking were first checked one by one to determine the trait levels and then coded. Based on the nature of data, different types of statistical analyses were used. The statistical software R [21] was used to analyze the data from the own-flock and group-animal ranking experiments. The frequency and proportion of breeding doe and buck traits preferred by the goat keepers in both experiments and rank proportions before and after provision of life history information in group-animal ranking experiment were analyzed by the ‘gmodels package’ of R, version 4.0.3 using the ‘CrossTable function’. Similarly, the Mean ± SE values for dentition and some production and reproduction traits were analyzed using ‘LSM (least squares mean) package version 3.5.2’ of R [21] fitting the rank as fixed effects in the model.

Results and discussions

Doe traits in own-flock ranking experiments

The lists of preferred doe traits from the own-flock ranking experiments are summarized in Table 1. Although no organized breeding program is in place in the study area, goat keepers, however, select breeding does based on own memory and various attributes of the animal. Application of similar selection strategy for breeding does was also reported in Ethiopia [6, 12, 13] and elsewhere in Africa [2224]. Mothering ability, kid growth, body size, twinning rate, coat color and body conformation were found to be the most important doe traits, in that order, influencing keepers’ preference in Arab. They accounted for 56.05% of the total proportions of mentioned traits. On the other hand, twinning rate, mothering ability, kid growth, kid size at birth and body size, in that order of importance, together contributed 64.75% of the total proportions of doe traits mentioned by Oromo goat keepers. Other important traits include kidding interval (7.01%), kid size at birth (6.37%) and drought tolerance (5.10%) in Arab and coat color (7.47%), kidding interval (4.79%) and pedigree (4.21%) in Oromo. In general, the breeding objective traits preferred by the goat keepers reflected what traits of Arab and Oromo does were appreciated by owners.

Table 1. List of doe traits in own-flock ranking experiment.

Traits Arab Oromo
Freq % Freq %
1. Body size 29 9.24 44 8.43
2. Kid growth 33 10.51 72 13.79
3. Kid size at birth 20 6.37 71 13.60
4. Mothering ability 38 12.10 74 14.18
5. Twinning rate 29 9.24 77 14.75
6. Kidding interval 22 7.01 25 4.79
7. Coat color 24 7.64 39 7.47
8. Body condition 10 3.18 19 3.64
9. Drought tolerance 16 5.10 - -
10. Body conformation 23 7.32 21 4.02
11. Body length 9 2.87 6 1.15
12. Temperament 12 3.82 10 1.92
13. Sex of kid 11 3.50 12 2.30
14. Age at puberty 11 3.50 20 3.83
15. Pedigree 14 4.46 22 4.21
16. Foraging ability 4 1.27 10 1.92
17. Body width 9 2.87 - -
Sum 314 522

In the present study, we observed that both Arab and Oromo goat keepers generally focus on kid quality (such as kid growth and kid size at birth) and related reproductive traits (like twinning rate and mothering ability). However, there was noticeable difference in preference for some of these and other traits between the two goat keepers. For instance, in Arab goat keepers, drought tolerance and body width were mentioned as important traits but these traits were not mentioned at all by the Oromo goat keepers. This result is clearly associated with agro-ecology and breeding objective of the breeders. Arab goat keepers, who dwell in the semi-arid areas, were opted for does with better drought tolerance due to the harsher environment, in terms of feed and water shortage and prevalence of moisture stress in most parts of the year. They also associated wide bodied does with higher twinning rate, better mothering ability and high carcass yield. Similar findings on preference of drought tolerance and body width for goats and sheep in comparable environments were also reported in Ethiopia [6, 10, 11, 25].

The preference of big body size and fast kid growth as important traits in both study areas are expected when the main purpose of keeping goats is for cash income. In most of the time, goats with big body size have high market demand and fast growing goats reach market weight sooner. Oromo goat keepers mentioned kid size at birth quite frequently (13.60%) than Arab goat keepers. This may be due to the reason that Oromo does have significantly bigger body sizes than Arab does [16] so that their kids might be bigger at birth. In relation to this, [26] and [27] elucidated that maternal body size positively influences the weight of their progeny at birth. Similarly, a relatively higher twinning rate (14.75%) as the preferred trait of Oromo goat keepers might be due to the availability of adequate feed throughout the year that can support many animals compared to the dry semi-arid area of Arab goat keepers.

None of the goat keepers in this study reported the use of goat milk. According to keepers, does with high milk production were considered as good mothers to their kids. Coat color and reproductive traits such as kidding interval were also mentioned as important traits by both goat keepers. Shorter kidding interval will increase flock size for marketing and replacement. It would be also helpful for genetic improvement program by increasing selection intensity though the improvement of kidding interval through selection may be slow because of the low heritability of the trait [6].

Mean ± SE values for dentition and some production and reproduction traits of does from own-flock ranking experiment are presented in Table 2. Body weight, number of kidding, twinning, number of kids born and number of kids weaned significantly (p < 0.001) influenced the ranking decision of both goat keepers. Dentition had significant (p < 0.001) effect only on Oromo goat keepers’ trait preference of breeding does.

Table 2. Mean ± SE values of traits in different rank groups of does from own-flock ranking experiment.

Goat population Traits p Overall mean Ranks
1 2 3 Inferior
Arab Dentition NS 3.24 ± 0.13 3.41 ± 0.14 3.37 ± 0.11 3.20 ± 0.14 2.98 ± 0.13
BW, kg *** 30.98 ± 0.37 31.94 ± 0.37a 31.53 ± 0.28ab 30.74 ± 0.40c 29.72 ± 0.44d
NK *** 2.99 ± 0.11 3.30 ± 0.13a 3.07 ± 0.10b 2.85 ± 0.11c 2.72 ± 0.10cd
Twinning *** 1.46 ± 0.07 1.72 ± 0.07a 1.54 ± 0.07b 1.24 ± 0.06cd 1.33 ± 0.07c
NKB *** 3.86 ± 0.18 5.00 ± 0.22a 4.02 ± 0.20b 3.26 ± 0.15c 3.17 ± 0.16cd
NKW *** 3.40 ± 0.16 4.48 ± 0.18a 3.54 ± 0.16b 2.78 ± 0.12c 2.78 ± 0.16c
Oromo Dentition *** 3.13 ± 0.15 3.53 ± 0.09a 2.78 ± 0.07d 3.07 ± 0.08c 3.12 ± 0.09b
BW, kg *** 32.15 ± 0.67 34.13 ± 0.31a 31.21 ± 0.30b 31.92 ± 0.37b 31.47 ± 0.36b
NK *** 3.22 ± 0.20 3.80 ± 0.11a 2.88 ± 0.08d 3.15 ± 0.11b 3.03 ± 0.09c
Twinning *** 1.29 ± 0.06 1.42 ± 0.05a 1.36 ± 0.05b 1.24 ± 0.04c 1.15 ± 0.04d
NKB *** 3.76 ± 0.37 4.84 ± 0.18a 3.46 ± 0.12b 3.52 ± 0.13b 3.22 ± 0.11c
NKW *** 3.32 ± 0.40 4.50 ± 0.15a 3.00 ± 0.09c 3.08 ± 0.10b 2.71 ± 0.09d

Row means within each goat population with different superscript letter are statistically different

***p ≤ 0.001; NS, non-significant; BW, body weight; NK, number of kidding; NKB, number of kids born/doe/kidding; and NKW, number of kids weaned/doe.

Comparing the mean values of does ranked as 1st best and poor quality, there were clear and logical differences in most of the attributes considered. This indicated that the farmers’ choices of does were confirmed by the objective measurements. For instance, in the Arab goat population, the magnitude difference between the 1st best and inferior does in live weight, number of kids born and number of kids weaned were 2.22 kg, 1.83 and 1.70, respectively. Similarly, in the Oromo goat keepers, the difference between the two groups for the same traits were 2.66 kg of body weight, 1.62 numbers of kids born and 1.79 numbers of kids weaned. The longer ages of the best does indicate that keepers are willing to keep them for long service years to achieve their objectives. In the study areas, where performance and pedigree recordings are completely absent, proper recognition and application of the goat keepers’ indigenous knowledge for selecting the best breeding does is possible option to start appropriate breeding programs. The picture of the two goat populations is depicted in Fig 1.

Fig 1.

Fig 1

Representative pictures of adult Arab doe (A), young Arab buck (B), adult Oromo doe (C) and adult Oromo buck (D) included in the study.

Doe traits in group-animal ranking experiments

Table 3 presents the lists of preferred doe traits in the group-animal ranking experiments. Coat color, body size, body conformation, body width and mothering ability, in that order, were found to be the most important traits in Arab goats, the sum of which accounted for 53.72% of the traits mentioned in Arab doe-ranking experiment. In Oromo doe-ranking experiment, about half (52.83%) of the mentioned traits were contributed by body size, twinning rate, body conformation, coat color and mothering ability.

Table 3. List of doe traits in group-animal ranking experiments.

Traits Arab Oromo
Freq % Freq %
1. Body size 24 12.77 23 14.47
2. Body conformation 18 9.57 16 10.06
3. Coat color 28 14.89 15 9.43
4. Color pattern 10 5.32 11 6.92
5. Body width 16 8.51 5 3.14
6. Body condition 13 6.91 7 4.40
7. Age 13 6.91 9 5.66
8. Horn length 4 2.13 - -
9. Body length 12 6.38 11 6.92
10. Beauty/appearance 7 3.72 12 7.55
11. Ear size 4 2.13 - -
12. Height 6 3.19 10 6.29
13. Mothering ability 15 7.98 13 8.18
14. Twinning rate 13 6.91 17 10.69
15. Kidding interval 5 2.66 10 6.29
Sum 188 159

Buck traits in group-animal ranking experiments

Table 4 describes the lists of buck traits in group-animal ranking experiments. Coat color, body size, body conformation and body length were the four most important phenotypic traits which accounted for 54.12% and 52.38% of the traits mentioned by Arab and Oromo goat keepers, respectively, but with varying order. Coat color assumed the first priority with a magnitude of 18.04% followed by body size (17.53%), body conformation (9.79%) and body length (8.76%) in Arab goat keepers while the order of recurrence of traits in Oromo goat keepers was body size, coat color, body conformation and body length with magnitude of 20.63%, 17.99%, 7.41% and 6.35%, respectively.

Table 4. List of buck traits in group-animal ranking experiments.

Traits Arab Oromo
Freq % Freq %
1. Coat color 35 18.04 34 17.99
2 Color pattern 10 5.15 10 5.29
3. Body size 34 17.53 39 20.63
4. Body width 15 7.73 9 4.76
5. Age 9 4.64 10 5.29
6. Fast growth 6 3.09 8 4.23
7. Body condition 12 6.19 9 4.76
8. Horn shape 5 2.58 11 5.82
9. Appearance 6 3.09 9 4.76
10. Body conformation 19 9.79 14 7.41
11. Temperament - - 6 3.17
12. Body length 17 8.76 12 6.35
13. Height 8 4.12 - -
14. Heat tolerance 5 2.58 - -
15. Libido 7 3.61 - -
16. Horn orientation - - 8 4.23
17. Horn size 6 3.09 10 5.29
Sum 194 189

Comparisons of rankings with and without additional information of life history

Table 5 summarizes rank proportions before and following provision of information about life history of does and bucks. In Arab goat populations, of does that ranked as first, second, and third prior to provision of life history, 70.8%, 68.8% and 72.9% of them retained their position, respectively, after provision of life history. The corresponding values for Oromo goats were 52.1%, 47.9% and 50%. Unlike in does, the attached life history information only minimally altered respondents’ decision in buck-group ranking. For example, in Arab goats, only 6.2% and 2.1% of the respondents changed their ranks from 1st to 2nd and 1st to 3rd, respectively. The corresponding values in Oromo goats were 4.2% and 0%. The likely reason for this is that keepers tended to judge and select female animals based on their reproductive performance and mothering ability apart from physical appearance (body size, coat color and body conformation) and dental examination. Similar research findings were reported in phenotypic group-animal ranking experiments for sheep [10] and goat breeds in Ethiopia [6] and for Ankole cattle in Uganda [28].

Table 5. Rank proportions before and after provision of information in group-ranking.

Population RBLH RALH Does RBLH Buck
1 2 3 1 2 3
Arab 1 34 (70.8%) 10 (20.8%) 4 (8.3%) 44 (91.7%) 3 (6.2%) 1 (2.1%)
2 6 (12.5%) 33 (68.8%) 9 (18.8%) 2 (4.2%) 44 (91.7%) 2 (4.2%)
3 6 (12.5%) 7 (14.6%) 35 (72.9%) 2 (4.2%) 1 (2.1%) 45 (93.8)
Oromo 1 25 (52.1%) 13 (27.1%) 10 (20.8%) 46 (95.8%) 2 (4.2%) 0 (0%)
2 11 (22.9%) 23 (47.9%) 14 (29.2%) 2 (4.2%) 45 (93.8%) 1 (2.1%)
3 11 (22.9%) 13 (27.1%) 24 (50%) 0 (0%) 1 (2.1%) 47 (97.9%)

RBLH = Rank before provision of life history; RALH = Rank after provision of life history; unchanged ranks are given along the diagonal.

Conclusions

Breeding objective traits were identified for Arab and Oromo goat populations through phenotypic ranking approaches (own-flock and group-animal ranking experiments) to design breeding programs. Given large number of traits identified in the present study, it would be useful to include only few priority traits in order to keep the breeding programs as simple as possible and for easy implementation under smallholders’ circumstances. In the own-flock ranking experiments, keepers focus on productive, reproductive and behavioral traits whereas in the group-animal ranking experiments there was a generally tendency to focus on observable physical traits like coat color, body size and body conformation for both does and bucks. Thus, simultaneous use of both methods for identification of breeding objective traits in similar production systems is advisable.

Supporting information

S1 File. Raw data for breeding buck and doe phenotypic ranking.

(XLSX)

S2 File. R script for breeding buck and doe phenotypic ranking data analysis.

(DOCX)

S3 File. Formats used in the phenotypic ranking.

(DOCX)

Acknowledgments

The corresponding author gratefully acknowledges the Federal Ministry of Education, Ethiopia, for the PhD fellowship award, farmers who allowed their goats free for inventory purpose and all experts and development agents in the study areas for their cooperation during data collection.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The research is funded by Biotechnology research institute of Bahir Dar University 1/4449/1.11.10 (BRI-BDU). The recipient of the fund is the corresponding author (Oumer Sheriff). However, the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Central Statistical Agency (CSA). Report on Livestock and Livestock Characteristics (Private Peasant Holdings). Agricultural Sample Survey 2019/20 [2012 e.c.], Volume II Statistical Bulletin 587.
  • 2.Solomon AK, Mwai O, Grum G, Haile A, Rischkowsky B, Solomon G, et al. Review of goat research and development projects in Ethiopia. ILRI Project Report, 2014. Nairobi, Kenya: International Livestock Research Institute. [Google Scholar]
  • 3.Legese G, Haile A, Duncan AJ, Dessie T, Gizaw S and Rischkowsky B. Sheep and goat value chains in Ethiopia: A synthesis of opportunities and constraints. ICARDA/ILRI Project Report, 2014. Nairobi, Kenya: International Center for Agricultural Research in the Dry Areas/International Livestock Research Institute. [Google Scholar]
  • 4.Food and Agricultural Organization (FAO). Livestock sector brief: Ethiopia. Livestock information, sector analysis and policy branch (AGAL), 2004. FAO, Rome. [Google Scholar]
  • 5.Berhe G. Ministry of Agriculture and Rural Development of Ethiopia. Animal and plant health directorate: Presented on: dialogue on livestock, food security and sustainability. A side event on the occasion of the 22 session of COAG, FAO, Rome: on 16 June, 2010. [Google Scholar]
  • 6.Abegaz S. Design of community based breeding programs for two indigenous goat breeds of Ethiopia, 2014. BOKU-University of Natural Resources and Life sciences, Department of Sustainable Agricultural Systems, Division of Livestock Sciences, Vienna, Austria. [Google Scholar]
  • 7.Temesgen J. Genetic parameters, productivity indices and breeding plans for designing community-based goat breeding programs in Ethiopia, 2019. In partial fulfillment of the requirements for the award of the degree of doctor of philosophy in animal genetics and breeding, Haramaya University, Ethiopia. [Google Scholar]
  • 8.Gizaw S, Komen H, van Arendonk JAM. Participatory definition of breeding objectives and selection indexes for sheep breeding in traditional systems. Livestock Sciences, 2010; 128: 67–74. [Google Scholar]
  • 9.Wurzinger M, Sölkner J, Iniguez L. Important aspects and limitations in considering community-based breeding programs for low-input smallholder livestock systems. Small Ruminant Research, 2011; 98, 170–175. [Google Scholar]
  • 10.Mirkena T. Identifying breeding objectives of smallholders/pastoralists and optimizing community-based breeding programs for adapted sheep breeds in Ethiopia, 2010. A PhD thesis, University of Natural Resources and life sciences, Vienna.
  • 11.Duguma G, Mirkena T, Haile A, Okeyo AM, Tibbo M, Rischkowsky B, et al. Identification of smallholder farmers and pastoralists’ preferences for sheep breeding traits: choice model approach. Animal, 2011; 5 (12): 1984–1992. 10.1017/S1751731111001029 [DOI] [PubMed] [Google Scholar]
  • 12.Hagos A, Gizaw S, Urge M. Identification of breeding objectives for Begait goat in western Tigray, North Ethiopia. Tropical Animal Health and Production, 2018; 50(8): 1887–1892. 10.1007/s11250-018-1640-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Oumer S, Kefyalew A, Aynalem H. Production systems and breeding practices of Arab and Oromo goat keepers in northwestern Ethiopia: implications for community-based breeding programs. Tropical Animal Health and Production, 2019; 52, 1467–1478. 10.1007/s11250-019-02150-3 [DOI] [PubMed] [Google Scholar]
  • 14.Abegaz SG, Sölkner J, Gizaw G, Dessie T, Haile A, Wurzinger M. Description of production systems and morphological characteristics of Abergelle and Western lowland goat breeds in Ethiopia: implication for community-based breeding programmes. Animal Genetic Resources, 2013; 53, 69–78. [Google Scholar]
  • 15.Haile A, Maria W, Joaquín M, Mirkena T, Duguma G, Okeyo M, et al. Guidelines for Setting up Community-based Sheep Breeding Programs in Ethiopia, 2011. ICARDA—tools and guidelines No.1. Aleppo, Syria, ICARDA. [Google Scholar]
  • 16.Getnet A, Hegde BP, Bekele T, Enyew N, Workneh A. Phenotypic characterization of goat types in northwestern Ethiopia. Ethiopian Journal of Animal Production, 2005; 5, 13–32. [Google Scholar]
  • 17.Oumer S, Kefyalew A, Aynalem H. Morphological characterization of Arab and Oromo goats in northwestern Ethiopia: implications for community-based breeding programs. East African Journal of Agriculture and Forestry, 2021. Under review. [Google Scholar]
  • 18.Central Statistical Agency (CSA). Report on Livestock and Livestock Characteristics (Private Peasant Holdings). Agricultural Sample Survey 2013/2014 [2006 e.c.], Volume II Statistical Bulletin 583.
  • 19.Central Statistical Agency (CSA). Report on Livestock and Livestock Characteristics (Private Peasant Holdings). Agricultural Sample Survey 2016/17 [2009 e.c.], Volume II Statistical Bulletin 585.
  • 20.FAO. Phenotypic Characterization of Animal Genetic Resources. FAO Animal Production and Health Guidelines No. 11, 2012. Rome, Italy: (available at http://www.fao.org/docrep/015/i2686e/i2686e00.htm). [Google Scholar]
  • 21.R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2020. URL https://www.R-project.org/. [Google Scholar]
  • 22.Jaitner J, Sowe J, Secka-Njie E, Dempfle L. Ownership pattern and management practices of small ruminants in the Gambia: implications for a breeding program. Small Ruminant Research, 2001; 40, 101–108. 10.1016/s0921-4488(00)00221-2 [DOI] [PubMed] [Google Scholar]
  • 23.Kosgey IS, Rowlands GJ, van Arendonk JAM, Baker RL. Small ruminant production in smallholder and pastoral/extensive farming systems in Kenya. Small Ruminant Research, 2008; 77, 11–24. [Google Scholar]
  • 24.Bett RC, Kosgey IS, Kahi AK, Peters KJ. Analysis of production objectives and breeding practices of dairy goats in Kenya. Tropical Animal Health and Production, 2009; 41, 307–320. 10.1007/s11250-008-9191-9 [DOI] [PubMed] [Google Scholar]
  • 25.Gebreyesus G, Haile A, Dessie T. Breeding scheme based on community-based participatory analysis of local breeding practices, objectives and constraints for goats around Dire Dawa, Ethiopia. Livestock Research for Rural Development, 2013; Volume 25 article # 48. http://www.lrrd.org/lrrd25/3/grum25048 (accessed on 11-07-2018). [Google Scholar]
  • 26.Gardner DS, Buttery PJ, Daniel Z, Symonds ME. Factors affecting birth weight in sheep: maternal environment. Reproduction, 2007, 133(1): 297–307. 10.1530/REP-06-0042 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kugonza DR, Stalder KJ, Rothschild MF. Effects of buck and doe size on the growth and performance and survival of their progeny. Livestock Research for Rural Development, 2014; Volume 26 article # 03. [Google Scholar]
  • 28.Ndumu D, Baumung R, Wurzinger M, Drucker AG, Okeyo AM, Semambo DK, et al. Performance and fitness traits versus phenotypic appearance in the African Ankole Longhorn cattle: A novel approach to identify selection criteria for indigenous breeds. Livestock Sciences, 2008; 113, 234–242. [Google Scholar]

Decision Letter 0

Dawit Tesfaye

25 Feb 2021

PONE-D-20-38878

Phenotypic ranking experiments in identifying breeding objective traits of smallholder farmers in northwestern Ethiopia

PLOS ONE

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Dawit Tesfaye

Academic Editor

PLOS ONE

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Reviewer #2: Yes

**********

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Reviewer #2: Yes

**********

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**********

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**********

5. Review Comments to the Author

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Reviewer #1: Umer et al. investigated goat phenotype ranking schemes for identification breeding objective traits of smallholder farmers in Northwestern Ethiopia. For this, the authors looked into Own-flock ranking scheme in which the farmers ranked does based on age, number of kidding, twinning ability, number of kids born per kidding and number of kids weaned and Group-animal ranking scheme in which breeding does and bucks were randomly selected and phenotype information was gathered and then the farmers were asked to rank the animals with and without phenotype information. Accordingly, the author indicated that body size, mothering ability, twinning rate, kidding interval and temperament are prioritized traits while in group-animal ranking scheme, traits including coat color, body size and body conformation were found to be the priority of farmers. All in all, this study is relevant and a step forward to identify relevant to establish goat breeding objectives that could fit to smallholder farmers in Northwestern Ethiopia. Nevertheless, before this article is accepted for publication, the following issues should be addressed.

1. Statistical testing in the majority of results provided in tables are missing

2. Tables 3, 4 and 5 are all described as Table 3-- please correct!

3. In table 2 - Please indicate possible significant differences between 1 and 2, 1 and 3 and /or 2 and 3 rakings using letters or any convenient symbols.

3. Please describe if there is any goat trait preference differences between the Oromo and Arab smallholder goat farmers.

4. In the conclusion part of this manuscript, the authors indicated that in the own-flock ranking s scheme farmers were interested in productive, reproductive and behavioral traits whereas in the group-animal ranking scheme, farmers were interested in coat color, body size and body. conformation. It will be interesting if the authors could address this controversy.

Reviewer #2: Authors carried out own-flock and group-animal ranking experiments on two goat breeds, the Arab and Oromo breeds, in northwestern Ethiopia. More than 15 productive, reproductive and behavioral traits were used to rank the animals according to the choice of the farmers. This is a very great effort in designing a breeding program at a community level. The paper is written very well. Authors need to state the result section as “result and discussion”. Moreover, supplementing a representative picture of the goats from each breed, with respect to the traits mentioned in Table 2 would enhance the manuscript.

**********

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Reviewer #2: No

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PLoS One. 2021 Mar 25;16(3):e0248779. doi: 10.1371/journal.pone.0248779.r002

Author response to Decision Letter 0


4 Mar 2021

Responses to the Editor’s and Reviewers' Comments

Dear editor and reviewers, we would like to thank you for giving us a chance to revise our manuscript. We are also very thankful for your thoughtful and thorough review of our manuscript. The comments are encouraging and you appear to share our judgment that the study and its results are important. Each comment has been carefully considered point by point and responded accordingly. Please see below, in blue, our response to your comments. All line numbers given in the authors’ response refer to the revised manuscript and the revision can be seen as track changes in the manuscript.

RESPONSE TO EDITOR’S COMMENTS

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Authors’ response: Dear Editor, thank you so much for providing us the link. We have read it carefully and revised our manuscript according to the guideline.

2. We suggest you thoroughly copyedit your manuscript for language usage, spelling, and grammar. If you do not know anyone who can help you do this, you may wish to consider employing a professional scientific editing service.

Authors’ response: Dear, thanks for your concern. Indeed, we have tried all our best to improve the language usage, spelling, and grammar and make the manuscript clear to the readers.

3. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For more information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions.

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

We will update your Data Availability statement on your behalf to reflect the information you provide.

Authors’ response: Dear Editor, thanks for your question. All relevant data are within the manuscript and its supporting information files.

4. Your ethics statement should only appear in the Methods section of your manuscript. If your ethics statement is written in any section besides the Methods, please move it to the Methods section and delete it from any other section. Please ensure that your ethics statement is included in your manuscript, as the ethics statement entered into the online submission form will not be published alongside your manuscript.

Authors’ response: We thank you for your comment; we moved the ethics statement to the methods section of our manuscript.

5. Thank you for stating the following in the Funding Section of your manuscript:

"The financial support for this study was provided by Biotechnology Research Institute (BRI) of

Bahir Dar University, Ethiopia."

We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form.

Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows:

"The authors received no specific funding for this research".

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

Authors’ response: Dear Editor, thanks for the comment. We removed the funding statement that appeared in the acknowledgement section of our manuscript. On the other hand, we included our amended statements within our cover letter.

RESPONSE TO REVIEWERS’ COMMENTS

Reviewer’s comment:

Reviewer #1: Umer et al. investigated goat phenotype ranking schemes for identification breeding objective traits of smallholder farmers in Northwestern Ethiopia. For this, the authors looked into Own-flock ranking scheme in which the farmers ranked does based on age, number of kidding, twinning ability, number of kids born per kidding and number of kids weaned and Group-animal ranking scheme in which breeding does and bucks were randomly selected and phenotype information was gathered and then the farmers were asked to rank the animals with and without phenotype information. Accordingly, the author indicated that body size, mothering ability, twinning rate, kidding interval and temperament are prioritized traits while in group-animal ranking scheme, traits including coat color, body size and body conformation were found to be the priority of farmers. All in all, this study is relevant and a step forward to identify relevant to establish goat breeding objectives that could fit to smallholder farmers in Northwestern Ethiopia. Nevertheless, before this article is accepted for publication, the following issues should be addressed.

1. Statistical testing in the majority of results provided in tables are missing

Authors’ Response: Dear reviewer, thank you for your comment. We believe that statistical testing is needed and we included it in Table 2. The rest of the results in Tables 1, 3, 4 and 5 are qualitative data which, we believe, do not need any significance tests.

2. Tables 3, 4 and 5 are all described as Table 3-- please correct!

Authors’ Response: We appreciate your comment. Sorry for the mistake we made. Now, we correct it and you may find the correction in the revised manuscript.

3. In table 2 - Please indicate possible significant differences between 1 and 2, 1 and 3 and /or 2 and 3 rakings using letters or any convenient symbols.

Authors’ Response: Dear reviewer, we appreciate you. Based on your suggestion, we indicate the possible significant differences between the 1st and 2nd, 1st and 3rd, 1st and inferior, 2nd and 3rd, 2nd and inferior, and 3rd and inferior rakings using letters.

4. Please describe if there is any goat trait preference differences between the Oromo and Arab smallholder goat farmers.

Authors’ Response: Dear reviewer, thank you so much for your comment. The goat trait preference difference between the Arab and Oromo goat keepers is not the objective of the present study. This issue is addressed in a previous study conducted by the same authors of the current study in 2019. For more information, you can refer an article entitled with “Production systems and breeding practices of Arab and Oromo goat keepers in northwestern Ethiopia: implications for community-based breeding programs” TROPICAL ANIMAL HEALTH AND PRODUCTION. 52, 1467–1478.

5. In the conclusion part of this manuscript, the authors indicated that in the own-flock ranking scheme farmers were interested in productive, reproductive and behavioral traits whereas in the group-animal ranking scheme, farmers were interested in coat color, body size and body conformation. It will be interesting if the authors could address this controversy.

Authors’ Response: Yes. In the conclusion part of our manuscript, we indicated that goat keepers in the own-flock ranking experiment were interested in productive, reproductive and behavioral traits whereas in the group-animal ranking experiment, they were interested in coat color, body size and body conformation. This could be due to the reason that keepers in the own-flock ranking experiment know the animals very well since they are the owners of the goats whereas in the group-animal ranking experiment, goat keepers rank animals brought from another area, hence they did not know them. Thus, this controversy was happened due to the knowledge of the goat keepers that they had on the ranked animals (ranking either their own goats or unknown goats). This issue is addressed well in the methods section of our manuscript (i.e., own-flock ranking experiment and group animal ranking experiment). As a result of this, we believe that it would be redundant if we address this same issue in the conclusion part.

Reviewer #2: Authors carried out own-flock and group-animal ranking experiments on two goat breeds, the Arab and Oromo breeds, in northwestern Ethiopia. More than 15 productive, reproductive and behavioral traits were used to rank the animals according to the choice of the farmers. This is a very great effort in designing a breeding program at a community level. The paper is written very well. Authors need to state the result section as “result and discussion”. Moreover, supplementing a representative picture of the goats from each breed, with respect to the traits mentioned in Table 2 would enhance the manuscript.

Authors’ Response: We are grateful for your comment. Now, we state the result section as “Result and discussion”. Furthermore, we depicted the pictures of the goat populations in Figure 1.

Best Regards,

Oumer Sheriff, on behalf of the authors

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Dawit Tesfaye

5 Mar 2021

Phenotypic ranking experiments in identifying breeding objective traits of smallholder farmers in northwestern Ethiopia

PONE-D-20-38878R1

Dear Dr. Sheriff,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements and comments raised by the academic editor. .

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Dawit Tesfaye

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

The figure legend for figure 1 need to be revised as follows.

Figure 1. Representative pictures of adult Arab doe (A), young Arab buck (B), Adult Oromo doe (C) and Adult Oromo buck (D) included in the study.

Some of the pictures seem to be stretched to the left or right. Please correct it according to the instruction for authors.

Reviewers' comments:

Acceptance letter

Dawit Tesfaye

10 Mar 2021

PONE-D-20-38878R1

Phenotypic ranking experiments in identifying breeding objective traits of smallholder farmers in northwestern Ethiopia

Dear Dr. Sheriff:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Dawit Tesfaye

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. Raw data for breeding buck and doe phenotypic ranking.

    (XLSX)

    S2 File. R script for breeding buck and doe phenotypic ranking data analysis.

    (DOCX)

    S3 File. Formats used in the phenotypic ranking.

    (DOCX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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