Assessing cattle feed preferences to Crescentia cujete silages by cafeteria test

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Assessing cattle feed preferences to Crescentia cujete silages by cafeteria test | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Assessing cattle feed preferences to Crescentia cujete silages by cafeteria test Diego Armando Rojas-Meza, Jordi Bartolomé Filella, Guillermo Antonio Correa-Londoño, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8545036/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The aim of this study was to determine the animal preference and intake pattern of tropical cattle fed two calabash tree fruit silages: i) ground ripe calabash tree fruit (FS) and ii), a ground calabash tree fruit mixed to a composed foliage at 30:70 fruit-to-roughage ratio (FFS). We verified whether the silage alternative with the best ensilability and preservation features evaluated in a previous study is that with the greater animal preference. Eight Gyr breed cows (451.6 ± 9.5 kg BW; 3–4-years old) were involved in a short-term 21-day cafeteria test (i.e., 14 and 7 days for adaptation and data collection, respectively). First consumed silage (FCS) and number of times the animal consumed each silage (CONS) were measured, whereas individual fresh matter intake of each silage (FMI), total time spent eating (TSE), fresh matter intake rate (IRFM) and dry matter intake rate (IRDM) were calculated and statistically analysed as a completely randomized design with two experimental treatments and seven replicates. Significant statistical differences were observed in all the variables evaluated except on CONS and IRFM. The cows consumed FFS in 100% of the times they were exposed to this silage, compared to 93.9% when consuming FS. Under the conditions of this study, our findings suggest that ensiled mixture of calabash tree fruit and foliage in a 30:70 fruit-to-roughage ratio positively influenced the preference and intake pattern by beef cows when compared to a calabash tree fruit silage without additives or forages in the mixture. Dry season ruminants intake feeding behavior Figures Figure 1 Introduction Feed intake and consumption patterns are of particular relevance in cattle production, as they directly impact the performance and profitability of the production system while reducing its environmental footprint (Kenny et al., 2018 ; Ojo et al., 2024 ; Maree et al., 2025 ). The preferences of ruminants on specific feedstuffs have been demonstrated to result in an increased feed intake with a positive influence on the animal performance (Baumont, 1996 ; Coleman & Moore, 2003 ). Furthermore, during scarcity periods, when animals are confronted to a lack of feed options, or under intensive or high-input farming systems on which animals' ability to select feed is reduced, this decision belongs to the farmers. Hence, understanding animal preferences behavior in order to promote a higher feed intake and, consequently, the best possible performance is becoming increasingly imperative (Villalba et al., 2010 ; Roura & Navarro, 2018 ). Despite a reported less preference of ruminants for silages in comparison to both fresh or succulent forages and some grains (Baumont, 1996 ; Kung et al., 2018 ; Monllor et al., 2020 ), silage and hay are frequently the only available options to farmers for feeding their herds during the dry season in tropical conditions (Ribeiro et al., 2015 : Haselmann et al., 2020 ). In a previous and related study, Rojas-Meza et al. (2026) assessed the feasibility of silage as conservation technique for calabash tree ( Crescentia cujete ) fruit without or with adding several additives (i.e., common salt or tropical forages in the mixture), for their further use in tropical cattle feeding. Results reported that despite its low DM content (~ 20%), calabash tree fruit without any additives presented the best results with adequate ensilability features and optimal preservation, followed by the ground fruit mixed with the foliage of the same tree in a fresh basis of 30:70 fruit-to-roughage ratio. Although this study demonstrated the feasibility of the silage technique for the conservation of this feed resources using different mixtures, the preference and consumption pattern of any of those feedstuffs by ruminants is still unknown. Hence, the aim of this trial was to determine the preference and consumption pattern of tropical cattle by comparing two different silage alternatives through a multiple-choice feeding test (the so-called cafeteria test), and verify whether the alternative with better ensilability and preservation features correspond to that of greater animal preference. Materials and methods Study area The cafeteria test was performed under productive on-farm conditions i.e., the facilities of the farm “El Porvenir”, which is located in the Colombian Caribbean region (10°05'58''N 73°23'55''W, altitude 80 m) in a tropical dry forest agroecological zone with 1300 mm of total annual rainfall, 65% of average relative humidity and 28.8°C (min: 24.0°C; max: 34.3°C) of average annual air temperature (Rojas-Meza et al., 2026). The ‘cafeteria test’ Eight dried Gyr breed adult cows (3–4 years old; 451.6 ± 9.5 kg BW; at maintenance), were chosen from a commercial beef herd to carry out the cafeteria test, which is defined as a trial where animals are “briefly exposed” to different feedstuffs choices e.g., forages from several plant species (Salem et al., 1994 ). The trial lasted 21 consecutive days, including 14 days for the adaptation of the observer and animals (to the feed, the pens, and the daily routine), and 7 days for data collection. The voluntary preference by cows was determined by comparing the two offered different silage options: i) ground ripe calabash tree fruit with 90 conservation days ( FS ) and ii), foliage and ground ripe calabash tree fruit mixture at 30:70 fruit-to-roughage ratio on a fresh basis, also with 90 conservation days ( FFS ). The two offered silages were prepared at the facilities of the "El Porvenir" farm previously to the experiment, and the start of the experimental period was carefully scheduled in a synchronized manner i.e., at the same time the silages completed the 90 days conservation period. In the farm, the beef herd was managed following a rotational grazing schedule under an intensive silvopastoral system composed by Tanzania grass ( Megathyrsus maximus cv. Tanzania ) and Leucaena shrubs ( Leucaena leucocephala – with a tree density around 10000 trees/ha). The silages were prepared with the foliage and fruits harvested from the Crecentia cujete plantation established since several years ago in the same farm. Once chosen, the experimental cows were kept separately from the original herd but grazing under the same conditions i.e., in paddocks next to the area where the cafeteria test was carried out. The protocol was as following: the cows were daily collected from the paddocks at 17:00 h and held in a collective pen with only access to drinking water. The next day at 07:00 h, 1000 g of each silage was weighed on an electronic scale SF-400 (accuracy of +/- 0.01 g) and distributed separately at the same time into an individual pen using a two-sections divided feeder (the section where each silage was offered was alternated daily in order to avoid any bias by position). Immediately, a cow was transferred from the collective pen to an individual one and exposed to feed during a 10 minutes period. A digital chronometer (Pulivia Stopwatch YS-802C) was used for manual monitoring of the following indicators of preference and voluntary intake: the first consumed silage ( FCS ), the number of times the animal consumed each silage ( CONS ) and the time spent eating on each consumption ( TSE ). In order to standardize the exposure time to each animal and clearly determine the number of visits the animal made for each silage along time, the starting point of the 10 minutes period exposition of each animal to the silages was defined according to Nedelkov et al. ( 2019 ) i.e., the moment “when the muzzle of the animal crossed by the first time the imaginary plane of the opening of any feeder section”. According to the same authors, each consumption event was defined to begin “when the animal’s tongue or its muzzle touched the silage and it began to move its jaws” and stopped “when chewing of the consumed silage ceased while the animal’s head was raised out of a feeder or another eating event began”. Finished the test time, the animal was released and the refusals were completely removed and weighed in order to determine the individual fresh matter intake of each silage ( FMI ), calculated as the difference between the initial and final weight. The individual dry matter intake ( DMI ) was then calculated (FMI × %DM) based on the chemical nutritional composition reported for each evaluated silage by Rojas-Meza et al. (2026). At the end of the trial, the total time spent eating for each 10-minutes interval (registered in seconds) was summed and converted into minutes for each silage ( TSE , min.), whereas the fresh matter intake rate ( IRFM ; FMI/TSE) and the dry matter intake rate ( IRDM ; DMI/TSE) were calculated for the subsequent statistical analysis. This procedure was repeated with each of the remaining animals, one after one, in the different individual pens. Once the daily tests were completed by all animals (after 90 min.), they were headed back to the paddocks where they spent the rest of the day until 17h, the time when were conducted again to the collective pen until the next day test. Data regarding chemical nutritional composition, as well as the organic acids and ammoniacal nitrogen concentration of silages were obtained from Rojas-Meza et al. (2026). Statistical analysis Due to the refusal of one of the eight cows in the sample to consume one of the two experimental feeds during the experimental phase, the statistical analyses were performed with the data obtained only from the remaining seven animals. In order to compare cattle preference and feed intake patterns between the two silages, the variables FMI (g), DMI (g), TSE (min.), CONS (number), IRFM (g/min.), and IRDM (g/min.) were analysed using a paired two-sample t -test. Each cow was offered both silages simultaneously during seven consecutive days, and the median value across days was computed for each variable and animal to represent its overall response. This approach reduces the influence of day-to-day variability while maintaining one observation per animal. Normality of the difference vector between silages was assessed using the Shapiro–Wilk test. Data regarding nutritional intake proportion ( IP ) were calculated from the total of 49 consumptions events by treatment as follows: [(all observed consumptions – times animal did not consume)/all observed consumptions] × 100; (variable expressed in percentage) . For each animal, the proportion of trials in which FFS was chosen first ( First consumption ) was computed as an individual measure of preference. These proportions were then analyzed as a single sample to evaluate whether the median preference differed from 0.5, with 0.5 representing the absence of systematic preference between feeds. Because the data did not meet the assumptions of normality and the number of animals was limited, a non-parametric Wilcoxon signed-rank test was applied. Confidence intervals for the median proportion were obtained by nonparametric bootstrap resampling (2000 iterations). Finally, a principal component analysis (PCA) was performed using the prcomp function in a complementary manner to summarize and illustrate graphically the results of the main statistical analysis. All procedures were performed using R Studio Software version 3.6.0 (2024; R Core Team) with a significance level established at 5%. Results The results of the variables related to the preference and intake patterns on tropical beef cattle, assessed by cafeteria test, are presented in Table 1 . Except for IRFM, significant differences ( P < 0.05 ) were found in all parameters, with higher FMI, DMI, TSE, CONS and IRDM observed in FFS compared to FS. Table 1 Preference and intake pattern of calabash tree fruit silage without (FS) and with calabash tree foliage (FFS) in the ensiled mass by tropical beef cows assessed through a short-term cafeteria test Item Silage MD 95% CI t- value Effect, P- value FS FSS FMI (g) 363.9 ± 103.1 918.9 ± 14.4 541.3 [312.5–770.1] 5.79 0.0012 DMI (g) 71.5 ± 20.3 262.9 ± 4.1 189.4 [145.2–233.7] 10.47 < 0.0001 TSE (min) 1.87 ± 0.6 4.75 ± 0.4 2.94 [1.02–4.87] 3.74 0.01 CONS (times) 3.57 ± 0.4 4.71 ± 0.5 1.43 [0.70–2.16] 4.80 0.003 IRFM (g/min) 199.7 ± 21.7 211.4 ± 19.4 -0.72 [-56.8–55.3] -0.03 0.976 IRDM (g/min) 41.6 ± 4.3 57.2 ± 5.5 17.53 [3.98–31.08] 3.17 0.019 IP (%) 93.9 100 ND ND ND ND First consumption (%) 14.3 85.7 ND [0.714–1.00] * ND 0.021 ** FMI : Fresh matter intake; DMI : Dry matter intake; TSE : Time spent eating; CONS : average of times each silage was consumed by the animals; IRFM : Fresh matter intake rate; IRDM : Dry matter intake rate; IP : Intake proportion; First consumption : Estimated percentage of times the animal chose each food item at first consumption; FS : ground ripe calabash tree fruit silage with 90 conservation days; FFS : foliage and ground ripe calabash tree fruit mixture at 70:30 roughage-to-fruit ratio on a fresh basis, also with 90 conservation days; MD : Mean of the calculated difference between treatments; 95% CI : 95 percent confidence interval of MD; t- value : value of the t-test statistic; P- value : statistical significance of treatment; Mean by treatment : Estimated marginal means ± standard error; * Bootstrap confidence interval calculations based on 2000 bootstrap replicates for the most preferred feed (FFS); ** P value by Wilcoxon signed rank test with continuity correction. The results of the PCA are presented using a biplot (Fig. 1 ) with 88.8% of the total variance of data described by the analysis (PC1 accounting for 58.1% and PC2 for 30.7% of the total variance), indicating this method PCA effectively summarizes the structure of our results. Vectors corresponding to CONS, DMI, FMI, and TSE variables showed high relationship with major preference and feed intake. In contrast, vectors corresponding to IRFM and IRDM were related to relative feed intake (g/min.). The IRDM was the assessed variable with highest value on PC1 and PC2 components, which means a higher relationship with both preference (expressed as feed intake) and relative intake (expressed in g DM/min.). The separation of data into two groups (green triangles for FS and blue circles for FFS; Fig. 1 ) and the location of their centroids (lower left quadrant for FS and upper right quadrant for FFS) denote a clear difference in favor of FFS with regard to preference and, consequently, higher feed intake by animals. Discussion The higher fresh and DMI observed in FFS compared to FS could be probably associated to physicochemical features of the silages. The FS with a low DM content (~ 20%), exhibited a muddy consistency. Conversely, FFS with high foliage content (70% of the mixture on a fresh basis), showed a more solid, dry and pasty consistency, which is characteristic of forages. Similarity of FFS to forage could initially motivate higher feed intake, influenced by the ruminant herbivorous behavior (Cannas et al., 2009 ; Favreau-Peigné et al., 2013 ; Riaz et al., 2014 ; Distel & Villalba, 2018 ). Additionally, the 14-hour fasting period to which animals were submitted prior exposure to silages during the short-time test, could probably induce the preference of animal by a feedstuff with a higher dry matter and fiber content as FFS (Baumont, 1996 ; Meier et al., 2012 ). Another aspect that could be related to higher feed intake is that, although both feeds were ensiled, according to Rojas-Meza et al. (2026) FS presented lower pH (3.75 vs. 4.45) and a higher content on volatile compounds as ammoniacal nitrogen (NH 3 -N; 12.8 vs. 7.8% of total N), lactic (8.7 vs. 3.3 g/kg DM) and acetic (2.8 vs. 1.7 g/kg DM) acid concentration, when compared to FFS. According to several authors (Rapisarda et al., 2012 ; Gerlach et al., 2021 ), these compounds resulting from the conservation process of silages, are negatively correlated to feed intake in ruminants, which is consistent with the lower preference and feed intake observed for FS in the current study. The above could be decisive on the preference and intake pattern of animals considering that in this trial, silages were offered in their original form, which could increase the consumption-depressing effect of the volatile compounds when compared to the mixture of silages and either, hay or fresh chopped grass in a forage-based diet, thus reducing the concentration of these compounds and, consequently, their negative effect on feed intake (Brüning et al., 2018 ; Bandla et al., 2024 ). A higher content of ammoniacal nitrogen and organic acids in the silages could also explain why the animals spent more time consuming FFS compared to FS. According to Monllor et al. ( 2020 ), the energy content of the feedstuff is strongly correlated to a higher preference and DMI by ruminants. In this trial, and contrary to the authors statement, FS with a higher energy concentration (19.8 vs. 18.2 MJ of gross energy/kg DM in FFS) showed a lesser preference and consequently a lower feed intake. This can be explained as a derivative consequence, not only of a higher volatile compound concentration on FS but also by its higher total condensed tannins concentration (2.6 vs. 1.1 g/kg DM in FFS) that could probably reduce the preference and intake by the animal (Hernández-Orduño et al., 2015 ; López Benavides et al., 2022 ). It is likely that total condensed tannins content, as well as NH 3 -N and organic acids contents may be more decisive to define the preferences and intake pattern in ruminants than gross energy concentration, especially when the differences in energy content are not very pronounced, as is the case in our study. Results on intake rate of fresh matter (IRFM) did not show significant statistical differences (Table 1 ). This could probably suggest that, although animals spent more time consuming FFS and consumed a greater total amount of this feed compared to FS, they did not consume FFS more eagerly to the point of increasing the amount consumed/min compared to FS. Notwithstanding this observation, IRDM on FFS was found to be significantly higher ( P = 0.019) compared to FS. This can be attributed to a higher DM content of FFS (28.6%) vs. 19.7% of DM observed in FS, as reported by Rojas-Meza et al. (2026). This higher DM content in FFS could enable the animals to consume a greater quantity of DM either by unit of time or unit of consumed fresh matter, despite the not statistically differences on IRFM found in both silages (Table 1 ). The percentage proportion of animals consuming each silage was calculated from the 49 observations on the seven cows along seven trial days. Although a descriptive approach was employed, it was possible to show that in all exposures to silages, the animals always (100%) consumed FFS to a greater or lesser extent, compared to 93.9% of animals consuming FS. This suggests a higher preference for FFS instead FS. This is consistent with the results of the Wilcoxon test ( P = 0.021), revealing a significant effect of silage on the preference by the animals of their "first consumption" event. The FS was firstly consumed by the animals in a range of 0 to 28.6% of the times (mean value of 14.3%), whereas FFS was firstly consumed between 71.4 and 100% (mean value of 85.7%) of the times (Table 1 ). Several studies evaluating different fruit + forage silages in ruminants reported an increase on feed intake in silages made from a mixture of forage and fruit when compared to those with only forage, fruit or when the later represent the major proportion of the ensiled mass. Abdelazeem et al., ( 2020 ) assessing persimmon skin ensiled with and without natural absorbents (i.e. wheat bran or kraft pulp) in based festuca hay diets for ewes, reported that animals fed diets without and with 12 and 25% of persimmon skin silage did not differ on DM intake, whereas diet including 20% of persimmon skin silages with a 40% of kraft pulp as absorbent fiber reduce the time spent eating by the animals with no significant differences on DM, CP and NDF intake, indicating a higher DM intake rate (g/min). Yang, et al., ( 2022 ) evaluating corn silage without and with 25 and 50% of ensiled pineapple peel in goats reported a higher feed intake and daily weight gain by animals fed the mixture of 50% corn silage and 50% pineapple peel silage. Research conducted by Dadashi, et al., ( 2023 ) comparing feed intake of corn silage (forage) against orange pulp ensiled only with wheat straw or wheat straw + sugar beet in sheep, reported a higher feed intake (g/d) in sheep fed corn silage, followed by those fed orange pulp ensiled with wheat straw + sugar beet, being the silage of orange pulp and wheat straw, which showed the lowest feed intake. In another research, Firmino, et al., ( 2023 ) studied the effect of including melon fruit at 70, 140 and 210 g/kg of Canarana grass silage on Santa Inês lambs feeding. Results showed a decrease on DM, CP and ME intake while melon fruit inclusion was increasing. Gómez-Trinidad, et al., ( 2024 ) reported higher DM intake by crossed calves fed a diet containing 60% of waste papaya silage compared with a diet based on Pangola grass with corn and soybean grain without including papaya silage. Nevertheless, De Araújo, et al., 2025 did not report significant differences on DM intake by sheep when comparing a sorghum silage vs. a 70:30 fruit-to-roughage ratio silage made from mango fruit waste and Gliricidia sepium forage. Conclusion The prospective results of this study under tropical farming conditions suggest that the addition of calabash tree foliage in a 30:70 fruit-to-roughage ratio in the mixture, modified the physicochemical features of the silage and, consequently, the final products of fermentation after the conservation process. These alterations led to a positive influence on the palatability and preference of this silage by the beef cows, which was reflected in a higher consumption of FFS when compared to a calabash tree fruit silage without additives or added forages in the mixture. Although further research using short and long-term trials is required, the approach used in this study may impact the farmers feeding management practices using this feed resources. Declarations Acknowledgments: The authors would like to thank José Félix Lafaurie and the staff of 'El Porvenir' farm for granting us access to the experimental areas and for providing all the assistance necessary to carry out activities during the experimental phase in the field. Author contributions: All authors contributed to the study's conception and design. Material preparation, field execution and data collection were performed by Diego A. Rojas-Meza and Leonardo Manzano-García. Data Analysis were performed by Diego A. Rojas-Meza and Guillermo Antonio Correa-Londoño. The first draft of the manuscript was written by Diego A. Rojas-Meza, and the previous versions of the manuscript were commented by Jordi Bartolomé Filella and Eliel González-García. All authors read and approved the final manuscript. Funding: This study was financially supported by Ministry of Science, Technology and Innovation (MinCiencias) from Republic of Colombia – Doctoral scholarship abroad program – call N° 885. Data availability: The datasets generated during and/or analyzed during the current study are not publicly available due to privacy or ethical restrictions, but are available from the corresponding author upon reasonable request. Ethics approval: Since this was an observational study, the Research Ethics Committee from Autonomous University of Barcelona has confirmed that no ethical approval is required. Competing interests: The authors have no relevant financial or non-financial interest to disclose References Abdelazeem, S., Takeda, K., Kurosu, K., Uyeno, Y., 2020. Fermentative Quality and Animal Acceptability of Ensiled Persimmon Skin with Absorbents for Practical Use in Ruminant Feed. Animals 10, 612. https://doi.org/10.3390/ani10040612 Bandla, N., Südekum, K.-H., Gerlach, K., 2024. Review: Role of silage volatile organic compounds in influencing forage choice behavior and intake in ruminants. Animal Feed Science and Technology 307, 115853. https://doi.org/10.1016/j.anifeedsci.2023.115853 . Baumont, R., 1996. Palatability and feeding behaviour in ruminants: a review. Ann. Zootech. 45, 385–400. https://doi.org/10.1051/animres:19960501 . Brüning, D., Gerlach, K., Weiß, K., Südekum, K. -H., 2018. Effect of compaction, delayed sealing and aerobic exposure on forage choice and short‐term intake of maize silage by goats. Grass and Forage Science 73, 392–405. https://doi.org/10.1111/gfs.12345 . Cannas, A., Mereu, A., Decandia, M., Molle, G., 2009. Role of sensorial perceptions in feed selection and intake by domestic herbivores. Italian Journal of Animal Science 8, 243–251. https://doi.org/10.4081/ijas.2009.s2.243 . Coleman, S.W., Moore, J.E., 2003. Feed quality and animal performance. Field Crops Research 84, 17–29. https://doi.org/10.1016/S0378-4290(03)00138-2 . Dadashi, A., Rouzbehan, Y., Fazaeli, H., Rezaei, J., 2023. The nutritional quality of a fresh orange pulp-wheat straw mixture ensiled with either sugar beet pulp, wheat bran, or urea compared to corn silage (Zea mays) in sheep. Translational Animal Science 7, txad017. https://doi.org/10.1093/tas/txad017 De Araújo, J.S., De Araújo, G.G.L., Campos, F.S., Santos, E.M., De Almeida Araújo, C., De Sousa Santos, F.N., Borges, E.N., De Souza Silva, C., Lima, D.O., De Macedo, A., Da Silva, T.G.F., De Moura Zanine, A., Gois, G.C., 2025. Environmental sustainability: potential use of mango agroindustrial by-product associated with gliricidia in mixed silages in sheep diet. Trop Anim Health Prod 57, 445. https://doi.org/10.1007/s11250-025-04694-z Distel, R., Villalba, J., 2018. Use of Unpalatable Forages by Ruminants: The Influence of Experience with the Biophysical and Social Environment. Animals 8, 56. https://doi.org/10.3390/ani8040056 . Favreau-Peigné, A., Baumont, R., Ginane, C., 2013. Food sensory characteristics: their unconsidered roles in the feeding behaviour of domestic ruminants. Animal 7, 806–813. https://doi.org/10.1017/S1751731112002145 . Firmino, S.S., Lima, P.D.O., De Oliveira, P.V.C., Souza, J.T., De Araújo, T.L.A.C., Pereira, M.W.F., De Macedo, M.F., Leite, H.M.D.S., Veríssimo, V.M.S., Pimentel, F.C.D.S., De Lima Júnior, D.M., 2023. Effects of refused melon fruit in Canarana grass ensilage on intake, digestibility, serum biochemistry, performance, carcass characteristics and meat attributes of feedlot lambs. Trop Anim Health Prod 56, 153. https://doi.org/10.1007/s11250-024-03988-y Gerlach, K., Daniel, J.L.P., Jobim, C.C., Nussio, L.G., 2021. A data analysis on the effect of acetic acid on dry matter intake in dairy cattle. Animal Feed Science and Technology 272, 114782. https://doi.org/10.1016/j.anifeedsci.2020.114782 . Gómez-Trinidad, M., Sánchez-Santillán, P., Ayala-Monter, M.A., Saavedra-Jimenez, L.A., Sollano-Mendieta, C.E., López-Torres, B.J., 2024. In vitro gas production, in situ digestibility, intake, weight gain and ruminal characteristics of calves fed a diet containing 60% waste papaya silage. Trop Anim Health Prod 56, 370. https://doi.org/10.1007/s11250-024-04219-0 Haselmann, A., Wenter, M., Fuerst-Waltl, B., Zollitsch, W., Zebeli, Q., Knaus, W., 2020. Comparing the effects of silage and hay from similar parent grass forages on organic dairy cows’ feeding behavior, feed intake and performance. Animal Feed Science and Technology 267, 114560. https://doi.org/10.1016/j.anifeedsci.2020.114560 Hernández-Orduño, G., Torres-Acosta, J.F.J., Sandoval-Castro, C.A., Capetillo-Leal, C.M., Aguilar-Caballero, A.J., Alonso-Díaz, M.A., 2015. A tannin-blocking agent does not modify the preference of sheep towards tannin-containing plants. Physiology & Behavior 145, 106–111. https://doi.org/10.1016/j.physbeh.2015.04.006 Kenny, D.A., Fitzsimons, C., Waters, S.M., McGee, M., 2018. Invited review: Improving feed efficiency of beef cattle – the current state of the art and future challenges. Animal 12, 1815–1826. https://doi.org/10.1017/S1751731118000976 Kung, L., Shaver, R.D., Grant, R.J., Schmidt, R.J., 2018. Silage review: Interpretation of chemical, microbial, and organoleptic components of silages. Journal of Dairy Science 101, 4020–4033. https://doi.org/10.3168/jds.2017-13909 López Benavides, K., Rocha, L., Serrano, E., Bartolomé Filella, J., 2022. Feeding Preferences of Domestic and Wild Ungulates for Forage Trees in the Dry Tropics. Sustainability 14, 13430. https://doi.org/10.3390/su142013430 Maree, E., Blignaut, J., Gilliland, J., Lee, M.R.F., Manzano, P., McCosker, T., Du Toit, L., Truter, W., Weinheimer, B., Polkinghorne, R., 2025. Ruminant livestock farmers and industry are leading innovation to deliver human nutrition and improved environmental outcomes through sector lifecycle collaboration: a review of case studies. Animal Frontiers 15, 55–71. https://doi.org/10.1093/af/vfae050 Meier, J.S., Kreuzer, M., Marquardt, S., 2012. Design and methodology of choice feeding experiments with ruminant livestock. Applied Animal Behaviour Science 140, 105–120. https://doi.org/10.1016/j.applanim.2012.04.008 Monllor, P., Sandoval-Castro, C.A., Ayala-Burgos, A.J., Roca, A., Romero, G., Díaz, J.R., 2020. Preference study of four alternative silage fodders from the Mediterranean region in Murciano-Granadina goats. Small Ruminant Research 192, 106204. https://doi.org/10.1016/j.smallrumres.2020.106204 Nedelkov, K., Harper, M.T., Melgar, A., Chen, X., Räisänen, S., Martins, C.M.M.R., Faugeron, J., Wall, E.H., Hristov, A.N., 2019. Acceptance of flavored concentrate premixes by young ruminants following a short-term exposure. Journal of Dairy Science 102, 388–394. https://doi.org/10.3168/jds.2018-15400 Ojo, A.O., Mulim, H.A., Campos, G.S., Junqueira, V.S., Lemenager, R.P., Schoonmaker, J.P., Oliveira, H.R., 2024. Exploring Feed Efficiency in Beef Cattle: From Data Collection to Genetic and Nutritional Modeling. Animals 14, 3633. https://doi.org/10.3390/ani14243633 Rapisarda, T., Mereu, A., Cannas, A., Belvedere, G., Licitra, G., Carpino, S., 2012. Volatile organic compounds and palatability of concentrates fed to lambs and ewes. Small Ruminant Research 103, 120–132. https://doi.org/10.1016/j.smallrumres.2011.08.011 Riaz, M.Q., Südekum, K.-H., Clauss, M., Jayanegara, A., 2014. Voluntary feed intake and digestibility of four domestic ruminant species as influenced by dietary constituents: A meta-analysis. Livestock Science 162, 76–85. https://doi.org/10.1016/j.livsci.2014.01.009 Rojas-Meza, D.A., Bartolomé, F.J., Giraldo, L.A., Correa-Londoño, G.A., Bumbieris Junior, V.H., Manzano-García, L., Gonzalez-García, E., 2025. Silage as a feasible technique for calabash tree (Crescentia cujete) fruit conservation: evaluation of different mixtures and alternatives. J Food Process Preserv 2026, 5590708. https://doi.org/10.1155/jfpp/5590708 Ribeiro, R.C.O., Villela, S.D.J., Valadares Filho, S.C., Santos, S.A., Ribeiro, K.G., Detmann, E., Zanetti, D., Martins, P.G.M.A., 2015. Effects of roughage sources produced in a tropical environment on forage intake, and ruminal and microbial parameters. Journal of Animal Science 93, 2363–2374. https://doi.org/10.2527/jas.2014-8719 Roura, E., Navarro, M., 2018. Physiological and metabolic control of diet selection. Anim. Prod. Sci. 58, 613. https://doi.org/10.1071/AN16775 Salem, H.B., Nefzaoui, A., Abdouli, H., 1994. Palatability of shrubs and fodder trees measured on sheep and dromedaries: 1. Methodological approach. Animal Feed Science and Technology 46, 143–153. https://doi.org/10.1016/0377-8401(94)90072-8 Villalba, J.J., Provenza, F.D., Manteca, X., 2010. Links between ruminants’ food preference and their welfare. Animal 4, 1240–1247. https://doi.org/10.1017/S1751731110000467 Yang, C., Zhao, W., Tian, H., Wang, M., Gao, C., Guo, Y., Sun, B., 2022. A preliminary study on the possibility of fermented pineapple peel residue partially replacing whole corn silage in feeding Chuanzhong black goats. Front. Microbiol. 13, 959857. https://doi.org/10.3389/fmicb.2022.959857 Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Rojas-Meza","email":"data:image/png;base64,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","orcid":"https://orcid.org/0000-0003-0733-1649","institution":"Autonomous University of Barcelona Faculty of Veterinary: Universitat Autonoma de Barcelona Facultat de Veterinaria","correspondingAuthor":true,"prefix":"","firstName":"Diego","middleName":"Armando","lastName":"Rojas-Meza","suffix":""},{"id":577713880,"identity":"2c3d99d9-dc02-48b3-b730-2a700b87d266","order_by":1,"name":"Jordi Bartolomé 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11:21:42","extension":"html","order_by":10,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":102920,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8545036/v1/35f9548b6d06f6e5ac9fa0db.html"},{"id":100881647,"identity":"d0cbbd29-dd8b-4dd1-bc37-531aa9182c77","added_by":"auto","created_at":"2026-01-22 11:21:42","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":25529,"visible":true,"origin":"","legend":"\u003cp\u003eBiplot representation of the preference by tropical beef cattle (Gyr cows) when offered two silage alternatives (FS vs. FFS) in a cafeteria test; \u003cstrong\u003eFMI:\u003c/strong\u003e Fresh matter intake; \u003cstrong\u003eDMI:\u003c/strong\u003e Dry matter intake; \u003cstrong\u003eTSE:\u003c/strong\u003e Time spent eating; \u003cstrong\u003eCONS:\u003c/strong\u003e average of times each silage was consumed by the animals; \u003cstrong\u003eIRFM:\u003c/strong\u003e Fresh matter intake rate; \u003cstrong\u003eIRDM:\u003c/strong\u003eDry matter intake rate; \u003cstrong\u003eFS:\u003c/strong\u003e ground ripe calabash tree fruit silage with 90 conservation days; \u003cstrong\u003eFFS:\u003c/strong\u003e foliage and ground ripe calabash tree fruit mixture at 70:30 roughage-to-fruit ratio on a fresh basis, also with 90 conservation days.\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-8545036/v1/e5d7615007b26d1ea57d0f02.png"},{"id":101247950,"identity":"52ea129c-5706-49a8-9aed-c41cb0662b5d","added_by":"auto","created_at":"2026-01-27 16:57:27","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":587643,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8545036/v1/f8ecac56-ceb0-4ed3-90a7-7d44e861715b.pdf"}],"financialInterests":"","formattedTitle":"Assessing cattle feed preferences to Crescentia cujete silages by cafeteria test","fulltext":[{"header":"Introduction","content":"\u003cp\u003eFeed intake and consumption patterns are of particular relevance in cattle production, as they directly impact the performance and profitability of the production system while reducing its environmental footprint (Kenny et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Ojo et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Maree et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). The preferences of ruminants on specific feedstuffs have been demonstrated to result in an increased feed intake with a positive influence on the animal performance (Baumont, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e1996\u003c/span\u003e; Coleman \u0026amp; Moore, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). Furthermore, during scarcity periods, when animals are confronted to a lack of feed options, or under intensive or high-input farming systems on which animals' ability to select feed is reduced, this decision belongs to the farmers. Hence, understanding animal preferences behavior in order to promote a higher feed intake and, consequently, the best possible performance is becoming increasingly imperative (Villalba et al., \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Roura \u0026amp; Navarro, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eDespite a reported less preference of ruminants for silages in comparison to both fresh or succulent forages and some grains (Baumont, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e1996\u003c/span\u003e; Kung et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Monllor et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), silage and hay are frequently the only available options to farmers for feeding their herds during the dry season in tropical conditions (Ribeiro et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2015\u003c/span\u003e: Haselmann et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn a previous and related study, Rojas-Meza et al. (2026) assessed the feasibility of silage as conservation technique for calabash tree (\u003cem\u003eCrescentia cujete\u003c/em\u003e) fruit without or with adding several additives (i.e., common salt or tropical forages in the mixture), for their further use in tropical cattle feeding. Results reported that despite its low DM content (~\u0026thinsp;20%), calabash tree fruit without any additives presented the best results with adequate ensilability features and optimal preservation, followed by the ground fruit mixed with the foliage of the same tree in a fresh basis of 30:70 fruit-to-roughage ratio. Although this study demonstrated the feasibility of the silage technique for the conservation of this feed resources using different mixtures, the preference and consumption pattern of any of those feedstuffs by ruminants is still unknown.\u003c/p\u003e \u003cp\u003eHence, the aim of this trial was to determine the preference and consumption pattern of tropical cattle by comparing two different silage alternatives through a multiple-choice feeding test (the so-called cafeteria test), and verify whether the alternative with better ensilability and preservation features correspond to that of greater animal preference.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy area\u003c/h2\u003e \u003cp\u003eThe cafeteria test was performed under productive on-farm conditions i.e., the facilities of the farm \u0026ldquo;El Porvenir\u0026rdquo;, which is located in the Colombian Caribbean region (10\u0026deg;05'58''N 73\u0026deg;23'55''W, altitude 80 m) in a tropical dry forest agroecological zone with 1300 mm of total annual rainfall, 65% of average relative humidity and 28.8\u0026deg;C (min: 24.0\u0026deg;C; max: 34.3\u0026deg;C) of average annual air temperature (Rojas-Meza et al., 2026).\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eThe ‘cafeteria test’\u003c/h3\u003e\n\u003cp\u003eEight dried Gyr breed adult cows (3\u0026ndash;4 years old; 451.6\u0026thinsp;\u0026plusmn;\u0026thinsp;9.5 kg BW; at maintenance), were chosen from a commercial beef herd to carry out the cafeteria test, which is defined as a trial where animals are \u0026ldquo;briefly exposed\u0026rdquo; to different feedstuffs choices e.g., forages from several plant species (Salem et al., \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e1994\u003c/span\u003e). The trial lasted 21 consecutive days, including 14 days for the adaptation of the observer and animals (to the feed, the pens, and the daily routine), and 7 days for data collection. The voluntary preference by cows was determined by comparing the two offered different silage options: i) ground ripe calabash tree fruit with 90 conservation days (\u003cb\u003eFS\u003c/b\u003e) and ii), foliage and ground ripe calabash tree fruit mixture at 30:70 fruit-to-roughage ratio on a fresh basis, also with 90 conservation days (\u003cb\u003eFFS\u003c/b\u003e). The two offered silages were prepared at the facilities of the \"El Porvenir\" farm previously to the experiment, and the start of the experimental period was carefully scheduled in a synchronized manner i.e., at the same time the silages completed the 90 days conservation period.\u003c/p\u003e \u003cp\u003eIn the farm, the beef herd was managed following a rotational grazing schedule under an intensive silvopastoral system composed by Tanzania grass (\u003cem\u003eMegathyrsus maximus\u003c/em\u003e cv. \u003cem\u003eTanzania\u003c/em\u003e) and Leucaena shrubs (\u003cem\u003eLeucaena leucocephala\u003c/em\u003e \u0026ndash; with a tree density around 10000 trees/ha). The silages were prepared with the foliage and fruits harvested from the \u003cem\u003eCrecentia cujete\u003c/em\u003e plantation established since several years ago in the same farm.\u003c/p\u003e \u003cp\u003eOnce chosen, the experimental cows were kept separately from the original herd but grazing under the same conditions i.e., in paddocks next to the area where the cafeteria test was carried out. The protocol was as following: the cows were daily collected from the paddocks at 17:00 h and held in a collective pen with only access to drinking water. The next day at 07:00 h, 1000 g of each silage was weighed on an electronic scale SF-400 (accuracy of +/- 0.01 g) and distributed separately at the same time into an individual pen using a two-sections divided feeder (the section where each silage was offered was alternated daily in order to avoid any bias by position). Immediately, a cow was transferred from the collective pen to an individual one and exposed to feed during a 10 minutes period. A digital chronometer (Pulivia Stopwatch YS-802C) was used for manual monitoring of the following indicators of preference and voluntary intake: the first consumed silage (\u003cb\u003eFCS\u003c/b\u003e), the number of times the animal consumed each silage (\u003cb\u003eCONS\u003c/b\u003e) and the time spent eating on each consumption (\u003cb\u003eTSE\u003c/b\u003e).\u003c/p\u003e \u003cp\u003e In order to standardize the exposure time to each animal and clearly determine the number of visits the animal made for each silage along time, the starting point of the 10 minutes period exposition of each animal to the silages was defined according to Nedelkov et al. (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) i.e., the moment \u0026ldquo;when the muzzle of the animal crossed by the first time the imaginary plane of the opening of any feeder section\u0026rdquo;. According to the same authors, each consumption event was defined to begin \u0026ldquo;when the animal\u0026rsquo;s tongue or its muzzle touched the silage and it began to move its jaws\u0026rdquo; and stopped \u0026ldquo;when chewing of the consumed silage ceased while the animal\u0026rsquo;s head was raised out of a feeder or another eating event began\u0026rdquo;. Finished the test time, the animal was released and the refusals were completely removed and weighed in order to determine the individual fresh matter intake of each silage (\u003cb\u003eFMI\u003c/b\u003e), calculated as the difference between the initial and final weight. The individual dry matter intake (\u003cb\u003eDMI\u003c/b\u003e) was then calculated (FMI \u003cem\u003e\u0026times;\u003c/em\u003e %DM) based on the chemical nutritional composition reported for each evaluated silage by Rojas-Meza et al. (2026). At the end of the trial, the total time spent eating for each 10-minutes interval (registered in seconds) was summed and converted into minutes for each silage (\u003cb\u003eTSE\u003c/b\u003e, min.), whereas the fresh matter intake rate (\u003cb\u003eIRFM\u003c/b\u003e; FMI/TSE) and the dry matter intake rate (\u003cb\u003eIRDM\u003c/b\u003e; DMI/TSE) were calculated for the subsequent statistical analysis.\u003c/p\u003e \u003cp\u003eThis procedure was repeated with each of the remaining animals, one after one, in the different individual pens. Once the daily tests were completed by all animals (after 90 min.), they were headed back to the paddocks where they spent the rest of the day until 17h, the time when were conducted again to the collective pen until the next day test.\u003c/p\u003e \u003cp\u003eData regarding chemical nutritional composition, as well as the organic acids and ammoniacal nitrogen concentration of silages were obtained from Rojas-Meza et al. (2026).\u003c/p\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eDue to the refusal of one of the eight cows in the sample to consume one of the two experimental feeds during the experimental phase, the statistical analyses were performed with the data obtained only from the remaining seven animals. In order to compare cattle preference and feed intake patterns between the two silages, the variables FMI (g), DMI (g), TSE (min.), CONS (number), IRFM (g/min.), and IRDM (g/min.) were analysed using a paired two-sample \u003cem\u003et\u003c/em\u003e-test. Each cow was offered both silages simultaneously during seven consecutive days, and the median value across days was computed for each variable and animal to represent its overall response. This approach reduces the influence of day-to-day variability while maintaining one observation per animal. Normality of the difference vector between silages was assessed using the Shapiro\u0026ndash;Wilk test.\u003c/p\u003e \u003cp\u003eData regarding nutritional intake proportion (\u003cb\u003eIP\u003c/b\u003e) were calculated from the total of 49 consumptions events by treatment as follows: \u003cem\u003e[(all observed consumptions \u0026ndash; times animal did not consume)/all observed consumptions] \u0026times; 100; (variable expressed in percentage)\u003c/em\u003e. For each animal, the proportion of trials in which FFS was chosen first (\u003cb\u003eFirst consumption\u003c/b\u003e) was computed as an individual measure of preference. These proportions were then analyzed as a single sample to evaluate whether the median preference differed from 0.5, with 0.5 representing the absence of systematic preference between feeds. Because the data did not meet the assumptions of normality and the number of animals was limited, a non-parametric Wilcoxon signed-rank test was applied. Confidence intervals for the median proportion were obtained by nonparametric bootstrap resampling (2000 iterations).\u003c/p\u003e \u003cp\u003eFinally, a principal component analysis (PCA) was performed using the \u003cem\u003eprcomp\u003c/em\u003e function in a complementary manner to summarize and illustrate graphically the results of the main statistical analysis. All procedures were performed using R Studio Software version 3.6.0 (2024; R Core Team) with a significance level established at 5%.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eThe results of the variables related to the preference and intake patterns on tropical beef cattle, assessed by cafeteria test, are presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Except for IRFM, significant differences (\u003cem\u003eP\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003c/em\u003e) were found in all parameters, with higher FMI, DMI, TSE, CONS and IRDM observed in FFS compared to FS.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePreference and intake pattern of calabash tree fruit silage without (FS) and with calabash tree foliage (FFS) in the ensiled mass by tropical beef cows assessed through a short-term cafeteria test\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eItem\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eSilage\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eMD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e95% CI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cem\u003et-\u003c/em\u003evalue\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eEffect, \u003cem\u003eP-\u003c/em\u003evalue\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFS\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFSS\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFMI (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e363.9\u0026thinsp;\u0026plusmn;\u0026thinsp;103.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e918.9\u0026thinsp;\u0026plusmn;\u0026thinsp;14.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e541.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e[312.5\u0026ndash;770.1]\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.0012\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDMI (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e71.5\u0026thinsp;\u0026plusmn;\u0026thinsp;20.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e262.9\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e189.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e[145.2\u0026ndash;233.7]\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.47\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTSE (min)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.87\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.75\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.94\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e[1.02\u0026ndash;4.87]\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCONS (times)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.57\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.71\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e[0.70\u0026ndash;2.16]\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.003\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIRFM (g/min)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e199.7\u0026thinsp;\u0026plusmn;\u0026thinsp;21.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e211.4\u0026thinsp;\u0026plusmn;\u0026thinsp;19.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e[-56.8\u0026ndash;55.3]\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.976\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIRDM (g/min)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e41.6\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e57.2\u0026thinsp;\u0026plusmn;\u0026thinsp;5.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e17.53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e[3.98\u0026ndash;31.08]\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.019\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIP (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e93.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eND\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eND\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eND\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eND\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFirst consumption (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e14.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e85.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eND\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e[0.714\u0026ndash;1.00]\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eND\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.021\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003cb\u003eFMI\u003c/b\u003e: Fresh matter intake; \u003cb\u003eDMI\u003c/b\u003e: Dry matter intake; \u003cb\u003eTSE\u003c/b\u003e: Time spent eating; \u003cb\u003eCONS\u003c/b\u003e: average of times each silage was consumed by the animals; \u003cb\u003eIRFM\u003c/b\u003e: Fresh matter intake rate; \u003cb\u003eIRDM\u003c/b\u003e: Dry matter intake rate; \u003cb\u003eIP\u003c/b\u003e: Intake proportion; \u003cb\u003eFirst consumption\u003c/b\u003e: Estimated percentage of times the animal chose each food item at first consumption; \u003cb\u003eFS\u003c/b\u003e: ground ripe calabash tree fruit silage with 90 conservation days; \u003cb\u003eFFS\u003c/b\u003e: foliage and ground ripe calabash tree fruit mixture at 70:30 roughage-to-fruit ratio on a fresh basis, also with 90 conservation days; \u003cb\u003eMD\u003c/b\u003e: Mean of the calculated difference between treatments; \u003cb\u003e95% CI\u003c/b\u003e: 95 percent confidence interval of MD; \u003cb\u003et-\u003c/b\u003e\u003cb\u003evalue\u003c/b\u003e: value of the t-test statistic; \u003cb\u003eP-\u003c/b\u003e\u003cb\u003evalue\u003c/b\u003e: statistical significance of treatment; \u003cb\u003eMean by treatment\u003c/b\u003e: Estimated marginal means\u0026thinsp;\u0026plusmn;\u0026thinsp;standard error; \u003cb\u003e*\u003c/b\u003eBootstrap confidence interval calculations based on 2000 bootstrap replicates for the most preferred feed (FFS); \u003cb\u003e**\u003c/b\u003e\u003cem\u003eP value\u003c/em\u003e by Wilcoxon signed rank test with continuity correction.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe results of the PCA are presented using a biplot (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) with 88.8% of the total variance of data described by the analysis (PC1 accounting for 58.1% and PC2 for 30.7% of the total variance), indicating this method PCA effectively summarizes the structure of our results.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eVectors corresponding to CONS, DMI, FMI, and TSE variables showed high relationship with major preference and feed intake. In contrast, vectors corresponding to IRFM and IRDM were related to relative feed intake (g/min.). The IRDM was the assessed variable with highest value on PC1 and PC2 components, which means a higher relationship with both preference (expressed as feed intake) and relative intake (expressed in g DM/min.). The separation of data into two groups (green triangles for FS and blue circles for FFS; Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) and the location of their centroids (lower left quadrant for FS and upper right quadrant for FFS) denote a clear difference in favor of FFS with regard to preference and, consequently, higher feed intake by animals.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe higher fresh and DMI observed in FFS compared to FS could be probably associated to physicochemical features of the silages. The FS with a low DM content (~\u0026thinsp;20%), exhibited a muddy consistency. Conversely, FFS with high foliage content (70% of the mixture on a fresh basis), showed a more solid, dry and pasty consistency, which is characteristic of forages. Similarity of FFS to forage could initially motivate higher feed intake, influenced by the ruminant herbivorous behavior (Cannas et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Favreau-Peign\u0026eacute; et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Riaz et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Distel \u0026amp; Villalba, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Additionally, the 14-hour fasting period to which animals were submitted prior exposure to silages during the short-time test, could probably induce the preference of animal by a feedstuff with a higher dry matter and fiber content as FFS (Baumont, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e1996\u003c/span\u003e; Meier et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2012\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e Another aspect that could be related to higher feed intake is that, although both feeds were ensiled, according to Rojas-Meza et al. (2026) FS presented lower pH (3.75 vs. 4.45) and a higher content on volatile compounds as ammoniacal nitrogen (NH\u003csub\u003e3\u003c/sub\u003e-N; 12.8 vs. 7.8% of total N), lactic (8.7 vs. 3.3 g/kg DM) and acetic (2.8 vs. 1.7 g/kg DM) acid concentration, when compared to FFS. According to several authors (Rapisarda et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Gerlach et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), these compounds resulting from the conservation process of silages, are negatively correlated to feed intake in ruminants, which is consistent with the lower preference and feed intake observed for FS in the current study. The above could be decisive on the preference and intake pattern of animals considering that in this trial, silages were offered in their original form, which could increase the consumption-depressing effect of the volatile compounds when compared to the mixture of silages and either, hay or fresh chopped grass in a forage-based diet, thus reducing the concentration of these compounds and, consequently, their negative effect on feed intake (Br\u0026uuml;ning et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Bandla et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). A higher content of ammoniacal nitrogen and organic acids in the silages could also explain why the animals spent more time consuming FFS compared to FS.\u003c/p\u003e \u003cp\u003eAccording to Monllor et al. (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), the energy content of the feedstuff is strongly correlated to a higher preference and DMI by ruminants. In this trial, and contrary to the authors statement, FS with a higher energy concentration (19.8 vs. 18.2 MJ of gross energy/kg DM in FFS) showed a lesser preference and consequently a lower feed intake. This can be explained as a derivative consequence, not only of a higher volatile compound concentration on FS but also by its higher total condensed tannins concentration (2.6 vs. 1.1 g/kg DM in FFS) that could probably reduce the preference and intake by the animal (Hern\u0026aacute;ndez-Ordu\u0026ntilde;o et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; L\u0026oacute;pez Benavides et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). It is likely that total condensed tannins content, as well as NH\u003csub\u003e3\u003c/sub\u003e-N and organic acids contents may be more decisive to define the preferences and intake pattern in ruminants than gross energy concentration, especially when the differences in energy content are not very pronounced, as is the case in our study.\u003c/p\u003e \u003cp\u003eResults on intake rate of fresh matter (IRFM) did not show significant statistical differences (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). This could probably suggest that, although animals spent more time consuming FFS and consumed a greater total amount of this feed compared to FS, they did not consume FFS more eagerly to the point of increasing the amount consumed/min compared to FS. Notwithstanding this observation, IRDM on FFS was found to be significantly higher (\u003cem\u003eP\u0026thinsp;=\u003c/em\u003e\u0026thinsp;0.019) compared to FS. This can be attributed to a higher DM content of FFS (28.6%) vs. 19.7% of DM observed in FS, as reported by Rojas-Meza et al. (2026). This higher DM content in FFS could enable the animals to consume a greater quantity of DM either by unit of time or unit of consumed fresh matter, despite the not statistically differences on IRFM found in both silages (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe percentage proportion of animals consuming each silage was calculated from the 49 observations on the seven cows along seven trial days. Although a descriptive approach was employed, it was possible to show that in all exposures to silages, the animals always (100%) consumed FFS to a greater or lesser extent, compared to 93.9% of animals consuming FS. This suggests a higher preference for FFS instead FS. This is consistent with the results of the Wilcoxon test (\u003cem\u003eP\u0026thinsp;=\u003c/em\u003e\u0026thinsp;0.021), revealing a significant effect of silage on the preference by the animals of their \"first consumption\" event. The FS was firstly consumed by the animals in a range of 0 to 28.6% of the times (mean value of 14.3%), whereas FFS was firstly consumed between 71.4 and 100% (mean value of 85.7%) of the times (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eSeveral studies evaluating different fruit\u0026thinsp;+\u0026thinsp;forage silages in ruminants reported an increase on feed intake in silages made from a mixture of forage and fruit when compared to those with only forage, fruit or when the later represent the major proportion of the ensiled mass. Abdelazeem et al., (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) assessing persimmon skin ensiled with and without natural absorbents (i.e. wheat bran or kraft pulp) in based festuca hay diets for ewes, reported that animals fed diets without and with 12 and 25% of persimmon skin silage did not differ on DM intake, whereas diet including 20% of persimmon skin silages with a 40% of kraft pulp as absorbent fiber reduce the time spent eating by the animals with no significant differences on DM, CP and NDF intake, indicating a higher DM intake rate (g/min). Yang, et al., (\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) evaluating corn silage without and with 25 and 50% of ensiled pineapple peel in goats reported a higher feed intake and daily weight gain by animals fed the mixture of 50% corn silage and 50% pineapple peel silage. Research conducted by Dadashi, et al., (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) comparing feed intake of corn silage (forage) against orange pulp ensiled only with wheat straw or wheat straw\u0026thinsp;+\u0026thinsp;sugar beet in sheep, reported a higher feed intake (g/d) in sheep fed corn silage, followed by those fed orange pulp ensiled with wheat straw\u0026thinsp;+\u0026thinsp;sugar beet, being the silage of orange pulp and wheat straw, which showed the lowest feed intake.\u003c/p\u003e \u003cp\u003eIn another research, Firmino, et al., (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) studied the effect of including melon fruit at 70, 140 and 210 g/kg of Canarana grass silage on Santa In\u0026ecirc;s lambs feeding. Results showed a decrease on DM, CP and ME intake while melon fruit inclusion was increasing. G\u0026oacute;mez-Trinidad, et al., (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) reported higher DM intake by crossed calves fed a diet containing 60% of waste papaya silage compared with a diet based on Pangola grass with corn and soybean grain without including papaya silage. Nevertheless, De Ara\u0026uacute;jo, et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2025\u003c/span\u003e did not report significant differences on DM intake by sheep when comparing a sorghum silage vs. a 70:30 fruit-to-roughage ratio silage made from mango fruit waste and \u003cem\u003eGliricidia sepium\u003c/em\u003e forage.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe prospective results of this study under tropical farming conditions suggest that the addition of calabash tree foliage in a 30:70 fruit-to-roughage ratio in the mixture, modified the physicochemical features of the silage and, consequently, the final products of fermentation after the conservation process. These alterations led to a positive influence on the palatability and preference of this silage by the beef cows, which was reflected in a higher consumption of FFS when compared to a calabash tree fruit silage without additives or added forages in the mixture. Although further research using short and long-term trials is required, the approach used in this study may impact the farmers feeding management practices using this feed resources.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors would like to thank Jos\u0026eacute; F\u0026eacute;lix Lafaurie and the staff of \u0026apos;El Porvenir\u0026apos; farm for granting us access to the experimental areas and for providing all the assistance necessary to carry out activities during the experimental phase in the field.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions:\u0026nbsp;\u003c/strong\u003eAll authors contributed to the study\u0026apos;s conception and design. Material preparation, field execution and data collection were performed by Diego A. Rojas-Meza and Leonardo Manzano-Garc\u0026iacute;a. Data Analysis were performed by Diego A. Rojas-Meza and Guillermo Antonio Correa-Londo\u0026ntilde;o. The first draft of the manuscript was written by Diego A. Rojas-Meza, and the previous versions of the manuscript were commented by Jordi Bartolom\u0026eacute; Filella and Eliel Gonz\u0026aacute;lez-Garc\u0026iacute;a. All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u0026nbsp;\u003c/strong\u003eThis study was financially supported by Ministry of Science, Technology and Innovation (MinCiencias) from Republic of Colombia\u003cstrong\u003e\u0026nbsp;\u0026ndash;\u0026nbsp;\u003c/strong\u003eDoctoral scholarship abroad program \u0026ndash; call N\u0026deg; 885.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability:\u0026nbsp;\u003c/strong\u003eThe datasets generated during and/or analyzed during the current study are not publicly available due to privacy or ethical restrictions, but are available from the corresponding author upon reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval:\u0026nbsp;\u003c/strong\u003eSince this was an observational study, the Research Ethics Committee from Autonomous University of Barcelona has confirmed that no ethical approval is required.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests:\u0026nbsp;\u003c/strong\u003eThe authors have no relevant financial or non-financial interest to disclose\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAbdelazeem, S., Takeda, K., Kurosu, K., Uyeno, Y., 2020. Fermentative Quality and Animal Acceptability of Ensiled Persimmon Skin with Absorbents for Practical Use in Ruminant Feed. Animals 10, 612. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/ani10040612\u003c/span\u003e\u003cspan address=\"10.3390/ani10040612\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBandla, N., S\u0026uuml;dekum, K.-H., Gerlach, K., 2024. Review: Role of silage volatile organic compounds in influencing forage choice behavior and intake in ruminants. Animal Feed Science and Technology 307, 115853. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.anifeedsci.2023.115853\u003c/span\u003e\u003cspan address=\"10.1016/j.anifeedsci.2023.115853\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBaumont, R., 1996. Palatability and feeding behaviour in ruminants: a review. Ann. Zootech. 45, 385\u0026ndash;400. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1051/animres:19960501\u003c/span\u003e\u003cspan address=\"10.1051/animres:19960501\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBr\u0026uuml;ning, D., Gerlach, K., Wei\u0026szlig;, K., S\u0026uuml;dekum, K. -H., 2018. Effect of compaction, delayed sealing and aerobic exposure on forage choice and short‐term intake of maize silage by goats. Grass and Forage Science 73, 392\u0026ndash;405. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/gfs.12345\u003c/span\u003e\u003cspan address=\"10.1111/gfs.12345\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCannas, A., Mereu, A., Decandia, M., Molle, G., 2009. Role of sensorial perceptions in feed selection and intake by domestic herbivores. Italian Journal of Animal Science 8, 243\u0026ndash;251. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.4081/ijas.2009.s2.243\u003c/span\u003e\u003cspan address=\"10.4081/ijas.2009.s2.243\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eColeman, S.W., Moore, J.E., 2003. Feed quality and animal performance. Field Crops Research 84, 17\u0026ndash;29. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/S0378-4290(03)00138-2\u003c/span\u003e\u003cspan address=\"10.1016/S0378-4290(03)00138-2\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDadashi, A., Rouzbehan, Y., Fazaeli, H., Rezaei, J., 2023. The nutritional quality of a fresh orange pulp-wheat straw mixture ensiled with either sugar beet pulp, wheat bran, or urea compared to corn silage (Zea mays) in sheep. Translational Animal Science 7, txad017. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/tas/txad017\u003c/span\u003e\u003cspan address=\"10.1093/tas/txad017\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDe Ara\u0026uacute;jo, J.S., De Ara\u0026uacute;jo, G.G.L., Campos, F.S., Santos, E.M., De Almeida Ara\u0026uacute;jo, C., De Sousa Santos, F.N., Borges, E.N., De Souza Silva, C., Lima, D.O., De Macedo, A., Da Silva, T.G.F., De Moura Zanine, A., Gois, G.C., 2025. Environmental sustainability: potential use of mango agroindustrial by-product associated with gliricidia in mixed silages in sheep diet. Trop Anim Health Prod 57, 445. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s11250-025-04694-z\u003c/span\u003e\u003cspan address=\"10.1007/s11250-025-04694-z\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDistel, R., Villalba, J., 2018. Use of Unpalatable Forages by Ruminants: The Influence of Experience with the Biophysical and Social Environment. Animals 8, 56. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/ani8040056\u003c/span\u003e\u003cspan address=\"10.3390/ani8040056\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFavreau-Peign\u0026eacute;, A., Baumont, R., Ginane, C., 2013. Food sensory characteristics: their unconsidered roles in the feeding behaviour of domestic ruminants. Animal 7, 806\u0026ndash;813. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1017/S1751731112002145\u003c/span\u003e\u003cspan address=\"10.1017/S1751731112002145\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFirmino, S.S., Lima, P.D.O., De Oliveira, P.V.C., Souza, J.T., De Ara\u0026uacute;jo, T.L.A.C., Pereira, M.W.F., De Macedo, M.F., Leite, H.M.D.S., Ver\u0026iacute;ssimo, V.M.S., Pimentel, F.C.D.S., De Lima J\u0026uacute;nior, D.M., 2023. Effects of refused melon fruit in Canarana grass ensilage on intake, digestibility, serum biochemistry, performance, carcass characteristics and meat attributes of feedlot lambs. Trop Anim Health Prod 56, 153. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s11250-024-03988-y\u003c/span\u003e\u003cspan address=\"10.1007/s11250-024-03988-y\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGerlach, K., Daniel, J.L.P., Jobim, C.C., Nussio, L.G., 2021. A data analysis on the effect of acetic acid on dry matter intake in dairy cattle. Animal Feed Science and Technology 272, 114782. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.anifeedsci.2020.114782\u003c/span\u003e\u003cspan address=\"10.1016/j.anifeedsci.2020.114782\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eG\u0026oacute;mez-Trinidad, M., S\u0026aacute;nchez-Santill\u0026aacute;n, P., Ayala-Monter, M.A., Saavedra-Jimenez, L.A., Sollano-Mendieta, C.E., L\u0026oacute;pez-Torres, B.J., 2024. In vitro gas production, in situ digestibility, intake, weight gain and ruminal characteristics of calves fed a diet containing 60% waste papaya silage. Trop Anim Health Prod 56, 370. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s11250-024-04219-0\u003c/span\u003e\u003cspan address=\"10.1007/s11250-024-04219-0\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHaselmann, A., Wenter, M., Fuerst-Waltl, B., Zollitsch, W., Zebeli, Q., Knaus, W., 2020. Comparing the effects of silage and hay from similar parent grass forages on organic dairy cows\u0026rsquo; feeding behavior, feed intake and performance. Animal Feed Science and Technology 267, 114560. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.anifeedsci.2020.114560\u003c/span\u003e\u003cspan address=\"10.1016/j.anifeedsci.2020.114560\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHern\u0026aacute;ndez-Ordu\u0026ntilde;o, G., Torres-Acosta, J.F.J., Sandoval-Castro, C.A., Capetillo-Leal, C.M., Aguilar-Caballero, A.J., Alonso-D\u0026iacute;az, M.A., 2015. A tannin-blocking agent does not modify the preference of sheep towards tannin-containing plants. Physiology \u0026amp; Behavior 145, 106\u0026ndash;111. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.physbeh.2015.04.006\u003c/span\u003e\u003cspan address=\"10.1016/j.physbeh.2015.04.006\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKenny, D.A., Fitzsimons, C., Waters, S.M., McGee, M., 2018. Invited review: Improving feed efficiency of beef cattle \u0026ndash; the current state of the art and future challenges. Animal 12, 1815\u0026ndash;1826. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1017/S1751731118000976\u003c/span\u003e\u003cspan address=\"10.1017/S1751731118000976\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKung, L., Shaver, R.D., Grant, R.J., Schmidt, R.J., 2018. Silage review: Interpretation of chemical, microbial, and organoleptic components of silages. Journal of Dairy Science 101, 4020\u0026ndash;4033. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3168/jds.2017-13909\u003c/span\u003e\u003cspan address=\"10.3168/jds.2017-13909\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eL\u0026oacute;pez Benavides, K., Rocha, L., Serrano, E., Bartolom\u0026eacute; Filella, J., 2022. Feeding Preferences of Domestic and Wild Ungulates for Forage Trees in the Dry Tropics. Sustainability 14, 13430. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/su142013430\u003c/span\u003e\u003cspan address=\"10.3390/su142013430\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMaree, E., Blignaut, J., Gilliland, J., Lee, M.R.F., Manzano, P., McCosker, T., Du Toit, L., Truter, W., Weinheimer, B., Polkinghorne, R., 2025. Ruminant livestock farmers and industry are leading innovation to deliver human nutrition and improved environmental outcomes through sector lifecycle collaboration: a review of case studies. Animal Frontiers 15, 55\u0026ndash;71. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/af/vfae050\u003c/span\u003e\u003cspan address=\"10.1093/af/vfae050\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMeier, J.S., Kreuzer, M., Marquardt, S., 2012. Design and methodology of choice feeding experiments with ruminant livestock. Applied Animal Behaviour Science 140, 105\u0026ndash;120. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.applanim.2012.04.008\u003c/span\u003e\u003cspan address=\"10.1016/j.applanim.2012.04.008\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMonllor, P., Sandoval-Castro, C.A., Ayala-Burgos, A.J., Roca, A., Romero, G., D\u0026iacute;az, J.R., 2020. Preference study of four alternative silage fodders from the Mediterranean region in Murciano-Granadina goats. Small Ruminant Research 192, 106204. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.smallrumres.2020.106204\u003c/span\u003e\u003cspan address=\"10.1016/j.smallrumres.2020.106204\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNedelkov, K., Harper, M.T., Melgar, A., Chen, X., R\u0026auml;is\u0026auml;nen, S., Martins, C.M.M.R., Faugeron, J., Wall, E.H., Hristov, A.N., 2019. Acceptance of flavored concentrate premixes by young ruminants following a short-term exposure. Journal of Dairy Science 102, 388\u0026ndash;394. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3168/jds.2018-15400\u003c/span\u003e\u003cspan address=\"10.3168/jds.2018-15400\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOjo, A.O., Mulim, H.A., Campos, G.S., Junqueira, V.S., Lemenager, R.P., Schoonmaker, J.P., Oliveira, H.R., 2024. Exploring Feed Efficiency in Beef Cattle: From Data Collection to Genetic and Nutritional Modeling. Animals 14, 3633. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/ani14243633\u003c/span\u003e\u003cspan address=\"10.3390/ani14243633\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRapisarda, T., Mereu, A., Cannas, A., Belvedere, G., Licitra, G., Carpino, S., 2012. Volatile organic compounds and palatability of concentrates fed to lambs and ewes. Small Ruminant Research 103, 120\u0026ndash;132. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.smallrumres.2011.08.011\u003c/span\u003e\u003cspan address=\"10.1016/j.smallrumres.2011.08.011\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRiaz, M.Q., S\u0026uuml;dekum, K.-H., Clauss, M., Jayanegara, A., 2014. Voluntary feed intake and digestibility of four domestic ruminant species as influenced by dietary constituents: A meta-analysis. Livestock Science 162, 76\u0026ndash;85. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.livsci.2014.01.009\u003c/span\u003e\u003cspan address=\"10.1016/j.livsci.2014.01.009\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRojas-Meza, D.A., Bartolom\u0026eacute;, F.J., Giraldo, L.A., Correa-Londo\u0026ntilde;o, G.A., Bumbieris Junior, V.H., Manzano-Garc\u0026iacute;a, L., Gonzalez-Garc\u0026iacute;a, E., 2025. Silage as a feasible technique for calabash tree (Crescentia cujete) fruit conservation: evaluation of different mixtures and alternatives. J Food Process Preserv 2026, 5590708. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1155/jfpp/5590708\u003c/span\u003e\u003cspan address=\"10.1155/jfpp/5590708\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRibeiro, R.C.O., Villela, S.D.J., Valadares Filho, S.C., Santos, S.A., Ribeiro, K.G., Detmann, E., Zanetti, D., Martins, P.G.M.A., 2015. Effects of roughage sources produced in a tropical environment on forage intake, and ruminal and microbial parameters. Journal of Animal Science 93, 2363\u0026ndash;2374. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.2527/jas.2014-8719\u003c/span\u003e\u003cspan address=\"10.2527/jas.2014-8719\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRoura, E., Navarro, M., 2018. Physiological and metabolic control of diet selection. Anim. Prod. Sci. 58, 613. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1071/AN16775\u003c/span\u003e\u003cspan address=\"10.1071/AN16775\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSalem, H.B., Nefzaoui, A., Abdouli, H., 1994. Palatability of shrubs and fodder trees measured on sheep and dromedaries: 1. Methodological approach. Animal Feed Science and Technology 46, 143\u0026ndash;153. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/0377-8401(94)90072-8\u003c/span\u003e\u003cspan address=\"10.1016/0377-8401(94)90072-8\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVillalba, J.J., Provenza, F.D., Manteca, X., 2010. Links between ruminants\u0026rsquo; food preference and their welfare. Animal 4, 1240\u0026ndash;1247. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1017/S1751731110000467\u003c/span\u003e\u003cspan address=\"10.1017/S1751731110000467\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYang, C., Zhao, W., Tian, H., Wang, M., Gao, C., Guo, Y., Sun, B., 2022. A preliminary study on the possibility of fermented pineapple peel residue partially replacing whole corn silage in feeding Chuanzhong black goats. Front. Microbiol. 13, 959857. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3389/fmicb.2022.959857\u003c/span\u003e\u003cspan address=\"10.3389/fmicb.2022.959857\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Dry season, ruminants, intake, feeding behavior","lastPublishedDoi":"10.21203/rs.3.rs-8545036/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8545036/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe aim of this study was to determine the animal preference and intake pattern of tropical cattle fed two calabash tree fruit silages: i) ground ripe calabash tree fruit (FS) and ii), a ground calabash tree fruit mixed to a composed foliage at 30:70 fruit-to-roughage ratio (FFS). We verified whether the silage alternative with the best ensilability and preservation features evaluated in a previous study is that with the greater animal preference. Eight Gyr breed cows (451.6\u0026thinsp;\u0026plusmn;\u0026thinsp;9.5 kg BW; 3\u0026ndash;4-years old) were involved in a short-term 21-day cafeteria test (i.e., 14 and 7 days for adaptation and data collection, respectively). First consumed silage (FCS) and number of times the animal consumed each silage (CONS) were measured, whereas individual fresh matter intake of each silage (FMI), total time spent eating (TSE), fresh matter intake rate (IRFM) and dry matter intake rate (IRDM) were calculated and statistically analysed as a completely randomized design with two experimental treatments and seven replicates. Significant statistical differences were observed in all the variables evaluated except on CONS and IRFM. The cows consumed FFS in 100% of the times they were exposed to this silage, compared to 93.9% when consuming FS. Under the conditions of this study, our findings suggest that ensiled mixture of calabash tree fruit and foliage in a 30:70 fruit-to-roughage ratio positively influenced the preference and intake pattern by beef cows when compared to a calabash tree fruit silage without additives or forages in the mixture.\u003c/p\u003e","manuscriptTitle":"Assessing cattle feed preferences to Crescentia cujete silages by cafeteria test","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-22 11:21:33","doi":"10.21203/rs.3.rs-8545036/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"4b2a91ce-f717-4485-9258-3e4bfb34d553","owner":[],"postedDate":"January 22nd, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-01-27T16:56:48+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-22 11:21:33","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8545036","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8545036","identity":"rs-8545036","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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