Reliable estimates of genetic parameters for economic traits in buffaloes can be achieved through a meta-analysis that brings together several studies and accounts for the variation among them. This study aimed to perform a meta-analysis for 27 traits, including growth, reproduction, milk production and quality, and mastitis resistance, to estimate both heritability and genetic correlation parameters. A random model was used in the meta-analysis, where the factor “study” was adjusted as a random effect. The systematic review found 117 articles, including 387 estimates of heritability and 287 estimates of genetic correlations. A quality control of theses estimates was carried out, using the relative standard error (RSE) and both publication bias and heterogeneity tests. The mean of RSE for estimates of heritability were 13.96, 16.66, 11.33, and 11.42, for growth, reproduction, milk production, and milk quality, respectively. For genetic correlations, RSE ranged from 0.88 to 24.08. All estimates of heritability and genetic correlations showed no evidence of publication bias effect. The heterogeneity index (I²) for the heritability estimates ranged from 0 to 93.5, while for the genetic correlations ranged from 0 to 99.1. The weighted averages of heritabilities ranged from 0.2344 to 0.3811 for growth traits, 0.1134 to 0.2069 for reproductive traits, 0.1058 to 0.3130 for milk production traits, 0.1651 to 0.2751 for milk quality traits, and 0.2075 for somatic cell score. Most genetic correlations were positive, ranging from 0.1342 to 0.9884, but some correlations were negative such as milk yield x fat percentage (-0.2103) and milk yield x protein percentage (-0.1967). The combined estimates found in this meta-analysis showed that the traits evaluated have sufficient genetic variation to be included in buffalo selection programs. Furthermore, these genetic parameters are now an option for use in populations that do not yet have data control that allows to accurately estimate the parameters analyzed here.

通过荟萃分析可以对水牛经济性状的遗传参数进行可靠估计，该荟萃分析汇集了多项研究并解释了它们之间的差异。本研究旨在对 27 个性状进行荟萃分析，包括生长、繁殖、产奶量和质量以及乳腺炎抗性，以估计遗传力和遗传相关参数。荟萃分析中使用了随机模型，其中因素“研究”被调整为随机效应。系统评价发现了 117 篇文章，包括 387 篇遗传力估计值和 287 篇遗传相关性估计值。使用相对标准误差 (RSE) 以及发表偏倚和异质性测试对这些估计进行了质量控制。用于估计遗传力的 RSE 平均值为 13.96、16.66、11.33 和 11。42，分别为生长、繁殖、产奶量和牛奶质量。对于遗传相关性，RSE 的范围从 0.88 到 24.08。遗传力和遗传相关性的所有估计都没有显示发表偏倚效应的证据。遗传力估计的异质性指数 (I²) 范围为 0 到 93.5，而遗传相关性的范围为 0 到 99.1。生长性状的遗传力加权平均值为 0.2344 至 0.3811，生殖性状为 0.1134 至 0.2069，产奶性状为 0.1058 至 0.3130，牛奶品质性状为 0.1651 至 0.2751，体细胞得分为 0.207。大多数遗传相关性为正，范围从 0.1342 到 0.9884，但一些相关性为负，例如产奶量 x 脂肪百分比 (-0.2103) 和产奶量 x 蛋白质百分比 (-0.1967)。在这项荟萃分析中发现的综合估计表明，评估的性状具有足够的遗传变异，可以包含在水牛选择计划中。此外，这些遗传参数现在可用于尚无数据控制的人群，可以准确估计此处分析的参数。