A systematic review of estimation of growth curve in goats

Abstract

Growth is an economically important trait in animal production industry and is one of the subjects that can be justified mathematically. The literature recommends different non-linear model to estimate the growth of goats. The objective of this study was to systematically review the literature published on estimation of growth using non-linear models in goats. Databases such as Google Scholar, PubMed, ScienceDirect, and Web of Science were evaluated systematically using the combination of the following key terms: Non-linear growth curve models such as Brody, Richards, Gompertz, Von Bertalanffy, Logistic models. A total of 25 eligible articles were found published between 2008 and 2022 in Bangladesh, Brazil, China, Egypt, Germany, India, Indonesia, Iran, Pakistan, South Africa, Turkey, Tunisia, and Vietnam. The results showed that out of 25 articles, Gompertz growth curve model was the most used (n = 10), followed by Logistic (n = 8), then Brody growth curve model (n = 6). The findings further indicated that Janoscheck growth curve model was the least used model (n = 1) for estimation of growth in goats. One of the limitations is that some of the reviewed articles did not indicate the sex of the animals which make it difficult to draw the conclude for sexes. The systematic review concludes that Gompertz growth curve model is the most recommended for estimation of growth parameters of goats, followed by Logistic, and then Brody. Therefore, researchers should consider using these models when studying growth parameters of goats.

The developmental pattern related to fatty acid uptake and oxidation in the yolk sac membrane and jejunum during embryogenesis in Muscovy duck

“…Growth traits played a crucial role in avian embryo development, influencing the overall size, shape, and physiological characteristics of the developing bird. The growth curve regressions were applied for the description of embryonic asymptotic weight and the maximum growth rate at the appropriate time ( Makgopa et al, 2023 ), which had a significant impact on the health, survival, and future performance of offspring birds. In the present study, the maximum growth of Muscovy duck embryos was estimated at 2.83 (E22.5), 2.67 (E22.1), and 2.60 (E21.3) g/d used Logistic, Gompertz, and Von Bertalanffy models ( R 2 > 0.98; Table 1 ), respectively.…”

The comparisons of non‐linear models to describe the growth performance of Lori‐Bakhtiari sheep

“…However, it can be challenging to explain extensive weight data on animals unless they are condensed into a few key parameters. To address this issue, growth curve parameters are utilized to encapsulate the information into manageable statistics (Makgopa et al., 2023 ).…”

“…The study of growth traits is of interest to many animal scientists, regardless of specialization, because of the economic importance of growth rate, mature weight and other related attributes (Makgopa et al., 2023 ). For animal breeders, understanding the genotypic and phenotypic relationships among weight data, time to maturity and growth rate across all stages of growth is a critical component in the design of breeding programs (Smith et al., 1976 ).…”