Developing and validating a rapid assessment tool for small ruminant reproduction and production in pastoralist flocks in Kajiado, Kenya.
Developing and validating a rapid assessment tool for small ruminant reproduction and production in pastoralist flocks in Kajiado, Kenya.
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开发和验证肯尼亚Kajiado牧民群中小反刍动物繁殖和生产的快速评估工具。
DOI：
10.1016/j.vas.2021.100186
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发表时间：
2021-09
影响因子：
1.5
通讯作者：
Alarcon P
中科院分区：
文献类型：
--
作者：
Ballesteros C;Mwasi A;Mungai E;Ibarahim A;Thuranina-McKeever C;Aboge GO;Onono JO;Alarcon P
设计、实施和测试了一种收集牧民羊群表现数据的方法。从130个牧民羊群中获得了绵羊18个生产参数和山羊19个生产参数的数据。一个羊群效率指标，结合四个参数得到的建议，快速评估的羊群。在报告贸易商活动的牧民中发现了牧民的业绩。收集小型反刍动物牧民群的生产业绩数据对于评价其效率和评估疾病、干旱或土地使用变化等不同挑战如何影响其可持续性至关重要。虽然存在不同的方法，但很难获取这些数据，特别是在游牧牧群中。本研究设计、实现并测试了一种基于农户回忆的鸡群生产性能快速评估方法。通过文献综述以及与牧民和关键信息提供者的协商，制定了一份调查问卷，以获取按年龄（≤2岁和>2岁）、物种和性别分类的小型反刍动物群数据。收集了为期12个月的羊群动态和繁殖参数的数据。然后在Kajiado县（肯尼亚）对130名拥有中型至大型羊群的牧民进行了调查。计算了12个生殖业绩指标和7个额外的生产业绩指标的值。此外，提出了一种絮体效率指标（FEI），其对混合絮体（即，绵羊和山羊）分为低、中或高效率。结果表明，在低效率的羊群中，净繁殖率的中位数为0.43只羔羊/母羊（范围0.08-1.00）和0.41只羔羊/母鹿（范围0.07-0.73），绵羊的中位数生产率为6%（范围[-47%]至20%），山羊的中位数生产率为11%（范围[-38%]至0.21%）。高效群的净产羔率中位数为0.77只/母羊（0.48-2.73只）和0.88只/母畜（0.49-1.80只），产羔率中位数为25%（11-47只）和28%（15-46只）。接受调查的62名牧民（47.7%）报告说，他们通常购买牲畜进入羊群，因此被认为是“牧民和商人”。与“仅牧民”群体（中位数= 8，IQR 6-10，Kruskal-Wallis秩和检验，p值<0.001）相比，他们的群体的FEI评分显着较低（中位数= 7.5，四分位数间距[IQR] 6-9）。由于这种方法是基于牧民回忆，所获得的值应被视为近似值。尽管如此，拟议的评估工具可供资源或记录能力低的个人使用，并可用于大规模方案，以监测牧民羊群动态，制定基准方案，估计疾病和冲击的影响，确定最易受这些冲击影响的羊群，并评估政策和干预措施对牛群业绩的有效性。
A methodology to capture data on pastoralists’ flock performance was designed, implemented and tested. Data on 18 productive parameters for sheep and 19 for goats from 130 pastoralist flocks were obtained. A flock efficiency indicator, combining four of the parameters obtained is suggested for rapid evaluation of the flocks. Poorer herd performance was found amongst those pastoralists that also reported trader activity. The collection of production performance data in small ruminants pastoralists flocks is essential to evaluate their efficiency and assess how different challenges, such as diseases, droughts or changes in land use, affect their sustainability. Although different methodologies exist, capturing these data is difficult, particularly in nomadic pastoral flocks. In this study, a method for rapid assessment of flock production performance based on farmer recall was designed, implemented and tested. Through literature review and consultation with pastoralists and key informants, a questionnaire was developed to capture small ruminant flock data disaggregated by age (≤2 years old and >2 years old), species and sex. Data on flock dynamics and on reproduction parameters were collected for a period of 12 months. A survey of 130 pastoralists with medium to large flocks was then conducted in Kajiado County (Kenya). Values were calculated for 12 reproduction performance indicators and 7 additional production performance indicators. In addition, a flock efficiency indicator (FEI) is proposed that classifies mixed flocks (i.e., with sheep and goats) into low, medium or high efficiency. Results showed that in flocks with low efficiency, the median value for net fecundity rate was 0.43 lambs/ewe (range 0.08–1.00) and 0.41 kids/doe (range 0.07–0.73), and the median production rate was 6% (range [−47%] to 20%) for sheep and 11% (range [−38%] to 0.21%) for goats. In flocks with high efficiency the median net fecundity rate was 0.77 lambs/ewe (range 0.48–2.73) and 0.88 kids/doe (range 0.49–1.80), and the median production rate was 25% (range 11–47) for sheep and 28% (range 15–46) for goats. Sixty-two (47.7%) of the pastoralists surveyed reported usually buying animals into their flocks, and, consequently were considered as ‘pastoralists and traders’. Their flocks had significantly lower FEI scores (median = 7.5, interquartile range [IQR] 6–9), compared with “pastoralists only” flocks (median = 8, IQR 6–10, Kruskal–Wallis rank sum test, p-value <0.001). Since this method is based on pastoralist recall, values obtained should be considered as approximations. Nonetheless, the proposed assessment tool can be used by individuals with low resources or recording capacity, and in large scale programmes to monitor pastoralist flock dynamics, set-up benchmarking programmes, estimate the impact of diseases and shocks, identify those flocks which are most vulnerable to these shocks and evaluate the effectiveness of policies and interventions on herd performance.
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影响因子：
0.9
作者：
Diawara, Mamadou O.;Hiernaux, Pierre;Soumaguel, Nogmana
通讯作者：
Soumaguel, Nogmana
影响因子：
3.6
作者：
Lesnoff, M.;Lancelot, R.
通讯作者：
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影响因子：
3.6
作者：
Lesnoff, M.
通讯作者：
Lesnoff, M.
影响因子：
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作者：
Nyariki, D. M.;Amwata, D. A.
通讯作者：
Amwata, D. A.
影响因子：
1.8
作者：
BLACKBURN, HD;FIELD, CR
通讯作者：
FIELD, CR