日本鹌鹑蛋中的线索和线索:哪些个体变量参数可以用来识别下蛋的母鸡?

IF 5.3 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Biosystems Engineering Pub Date : 2025-02-01 Epub Date: 2025-01-28 DOI:10.1016/j.biosystemseng.2025.01.011
Valeriy G. Narushin , Natalia A. Volkova , Alan Yu. Dzhagaev , Zarina V. Gagieva , Ludmila A. Volkova , Darren K. Griffin , Michael N. Romanov , Natalia A. Zinovieva
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引用次数: 0

摘要

同一种鸟所产蛋的差异是众所周知的,但研究却明显不足。生态、生理和遗传机制明显起作用;然而,一些参数的高/低变异性的原因仍然是一个谜。在这里,为了确定更广泛的数据来分析它们的个体变异性,研究了F2日本鹌鹑(Coturnix japonica)母鸡几个鸡蛋参数的变异性。蛋壳强度参数的变异最大(21.4 ~ 27.1%),不适合作为单个母鸡的标识。鸡蛋表面积体积比(S/V)的重现性最高,变异性最低,为1.5%。该指标可以间接表征胚胎代谢水平,并作为母鸡机体维持S/V值稳定的适应性特征。蛋黄成分的过度形成导致蛋壳的“调整”,确保鸡蛋总重量的低可变性。这些发现可以促进我们对生态学、生理学和遗传学基础的理解,以开发有希望的鹌鹑蛋生产的卵内“特征”。它可以在孵化前的鸡蛋分类领域找到应用,通过人工智能(AI)辅助对单独识别的鸡蛋进行分类,以定制孵化方案。此外,考虑到S/V值也与鸡蛋含量参数有关,通过这一特征来识别蛋鸡可能会让饲养者对不同的母鸡群体进行分类,每一组母鸡下的蛋都具有确定的营养价值。
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Clues and cues in a Japanese quail egg: What individual variable parameters can be used to identify the hen that laid it?
Variability in eggs laid by the same bird is well known but remarkably understudied. Ecological, physiological and genetic mechanisms clearly play a role; however, the reasons for the high/low variability of some parameters remain a mystery. Here, with the aim of identifying a wider range of data for analysis of their individual variability, the variability of several egg parameters in F2 Japanese quail (Coturnix japonica) hens was studied. The highest variability was noted for the parameters of shell strength (21.4–27.1%), suggesting its unsuitability as an identifier of a single hen. The highest reproducibility (i.e., the lowest variability of 1.5%) was observed for the ratio of egg surface area to volume (S/V). This indicator can indirectly characterise the level of embryonic metabolism and be used as an adaptive feature of the hen body targeted towards maintaining the stability of the S/V value. Excessive formation of the yolk component leads to an “adjustment” of the shell, ensuring low variability of the total egg weight. These findings can be taken into account to advance our understanding of the ecological, physiological, and genetic underpinnings for developing promising intraclutch “signatures” of quail egg production. It could find application in the field of preincubation egg sorting, with artificial intelligence (AI)-assisted classification of individually identified eggs to tailored incubation regimes. Moreover, given that the S/V value is also related to egg contents parameters, identifying laying hens by this feature might allow breeders to categorise separate groups of females, each of which lay eggs of identified nutritional value.
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来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
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