Threshold values of acoustic features to assess estrous cycle phases in water buffaloes (Bubalus bubalis)

Devi, Indu; Singh, Pawan Kumar; Lathwal, S. S.; Dudi, Kuldeep; Singh, Yajuvendra; Ruhil, A. P.; Kumar, Anil; Dash, Sukanta; Malhotra, Ravinder

doi:10.1016/j.applanim.2019.104838

Cited by 13 publications

(3 citation statements)

References 34 publications

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“…In our previous study, we observed that taurine levels were high in the small and medium ovarian follicles than the large ovarian follicles. It is well known that the small and medium ovarian follicles are majorly under the influence of progesterone because of the presence of corpus luteum in the ovary; however, the large follicles at the estrus and 10th day of diestrus in two follicular waves' condition are under the influence of high (0.035 ± 0.002) and low (0.002 ± 0.001) oestrogen/progesterone ratios, respectively (Devi et al., 2016). This observation indicates that progesterone plays a major role in increased levels of taurine in the follicular fluids of small and medium follicles and lower levels of taurine in the serum during the diestrus stage.…”

Section: Discussionmentioning

confidence: 99%

Taurine dynamics in serum during the oestrous cycle in buffaloes

Joshi,

Kumar,

Singh

et al. 2024

Reprod Domestic Animals

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Estrus identification is one of the common issues in buffaloes because of their short estrus duration and silent estrus problem. Hence, specific biomarkers facilitating in identifying the estrus stage would be helpful to buffalo farmers and researchers. In our previous studies, taurine, a non‐protein amino acid that helps in the secretion of reproductive hormones such as GnRH, was found to be associated with postpartum anestrus in buffaloes. Therefore, the present study was conducted to explore the level of taurine in serum during different stages of the oestrous cycle in healthy cyclic buffaloes. Blood samples were collected from healthy cyclic buffaloes (n = 4), and taurine was estimated at the estrus (0th day), proestrus (−2nd day), metestrus (3rd day) and diestrus (+10th day) stages using TLC method. The days of the oestrous cycle were determined by ultrasonography and observation of behavioural signs by trained professionals. The results revealed that taurine was consistently present in the serum. However, the highest concentration of taurine was observed at the proestrus (0.20 ± 0.03 mg/mL) stage, which was greater (p < .05) than metestrus (0.10 ± 0.05 mg/mL) and diestrus (0.13 ± 0.03 mg/mL) stages, but comparable with the estrus stage. These results were also validated in the simulated population datasets of population size 6 to 10,000. Further, ROC curve analysis for the large simulated population indicated the efficiency of taurine to distinguish proestrus from metestrus and diestrus stages at a lower cutoff value of <0.1643 mg/mL with 60% sensitivity and specificity. Therefore, the present study concludes that serum taurine concentration could help in detecting proestrus stage of buffalo estrous cycle.

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Section: Discussionmentioning

confidence: 99%

Taurine dynamics in serum during the oestrous cycle in buffaloes

Joshi,

Kumar,

Singh

et al. 2024

Reprod Domestic Animals

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“…A la palpación, un día antes y el día del celo, se puede detectar la presencia de un folículo en el 97,22% y 100% de las hembras, respectivamente (Singh et al, 1984). Recientemente se ha observado que algunos parámetros acústicos generados por las búfalas durante el celo, son significativamente diferentes a los generados durante las otras fases del ciclo estral, sugiriéndose que el análisis de los sonidos emitidos por las búfalas podría ser utilizado para detectar hembras en celo con una precisión del 95% (Devi et al, 2019).…”

Section: Ciclo Estral Y Gestaciónunclassified

PARTICULARIDADES REPRODUCTIVAS DE LAS BÚFALAS DE AGUA (Bubalus bubalis bubalis)

Nava-Trujillo¹,

Valeris-Chacín²,

Quintero-Moreno³

2019

SPERMOVA

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In this article we review the reproductive characteristics of water buffaloes. One of the most outstanding features is the lower intensity of the signs of estrus and the high proportion of silent estrus, which are related to the smaller size of the follicles and the lower production of estradiol. Another aspect of great interest is the reproductive seasonality, leading to the concentration of calving and estrus during the months of shorter photoperiod, which imposes, alongside a longer gestation, a challenge to the buffalo cow in order to achieve a calving interval of 400 days. The reproductive seasonality causes irregular milk production during the year; therefore, the occurrence of estrus during the time of long photoperiod needs to be induced in some cases. However, since both oocyte and embryo quality and luteal function are compromised during this period, the fertility is lower, which leads to a high proportion of embryonic death during this time of the year. These physiologic characteristics, the sustained increase in the water buffalo population worldwide, and the genetic improvement for milk production achieved in recent years, make it necessary for farmers and professionals to increase their understanding of the reproductive physiology of the species not only in order to maximize reproductive efficiency, but also to achieve a higher effectiveness in the application of reproductive biotechnologies. RESUMENEn este artículo se hace un repaso sobre las particularidades reproductivas de las búfalas. Una de las características más resaltante es la menor intensidad de los signos de celo y la alta tasa de celos silentes, las cuales están relacionadas con el menor tamaño de los folículos y la menor producción de estradiol. Otro aspecto de gran interés es la estacionalidad reproductiva, la cual conlleva a la concentración de partos y celos durante los meses de menor fotoperiodo, que, junto con una gestación más larga, imponen un reto a la búfala a fin de lograr un intervalo entre partos de 400 días. La estacionalidad reproductiva provoca una producción de leche irregular durante del año, y esto obliga en algunos casos a la necesidad de inducir los celos durante la época de fotoperiodo largo, sin embargo, durante esta la fertilidad es menor dado que tanto la calidad ovocitaria como embrionaria y la función luteal están comprometidas, lo que conlleva a una alta tasa de muerte embrionaria durante esta época del año. Todo esto, más el incremento sostenido de la población bufalina a nivel mundial, y la mejora genética para producción de leche alcanzada en años recientes, hacen necesario que los ganaderos y profesionales aumenten la compresión de la fisiología reproductiva de la especie no solo a fin de maximizar la eficiencia reproductiva sino también para logar una mayor eficiencia en la aplicación de biotecnologías reproductivas.Palabras clave: búfalas de agua, reproducción, estacionalidad, fotoperiodo, melatonina.

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“…It has been reported that audio data converted to MFCC can be effectively classified for sound classification [ 16 ], because the potentially available phonetic information is included to facilitate feature classification. Therefore, MFCCs have acoustic features that have been widely used in various applications [ 10 , 17 , 18 , 19 ]. As deep learning-based classification models have shown capabilities of high accuracy and reliability in various fields [ 20 , 21 ], the models have a high potential for effectively classifying animal vocals that contain behavioral meanings.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise Filtering

Park

Kim

Moon

et al. 2021

Animals

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The priority placed on animal welfare in the meat industry is increasing the importance of understanding livestock behavior. In this study, we developed a web-based monitoring and recording system based on artificial intelligence analysis for the classification of cattle sounds. The deep learning classification model of the system is a convolutional neural network (CNN) model that takes voice information converted to Mel-frequency cepstral coefficients (MFCCs) as input. The CNN model first achieved an accuracy of 91.38% in recognizing cattle sounds. Further, short-time Fourier transform-based noise filtering was applied to remove background noise, improving the classification model accuracy to 94.18%. Categorized cattle voices were then classified into four classes, and a total of 897 classification records were acquired for the classification model development. A final accuracy of 81.96% was obtained for the model. Our proposed web-based platform that provides information obtained from a total of 12 sound sensors provides cattle vocalization monitoring in real time, enabling farm owners to determine the status of their cattle.

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Threshold values of acoustic features to assess estrous cycle phases in water buffaloes (Bubalus bubalis)

Cited by 13 publications

References 34 publications

Taurine dynamics in serum during the oestrous cycle in buffaloes

Taurine dynamics in serum during the oestrous cycle in buffaloes

PARTICULARIDADES REPRODUCTIVAS DE LAS BÚFALAS DE AGUA (Bubalus bubalis bubalis)

Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise Filtering

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