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This content has been prepared by Doç. Dr. Mehmet ÇOLAK based on scientific sources.
Water Buffalo

Body Condition Score (BCS) in Water Buffalo: A Species-Specific System, Targets and the Anatolian Buffalo

30 July 2026 637 views

Body condition score in water buffalo: the species-specific, ultrasound-validated 1-5 system, eight skeletal check points, the same scale as the dairy cow but a different target (3.50-3.99), how rumen fill blurs the measurement (r=0.536 in Anatolian buffalo), why the real bottleneck in reproduction is oestrus detection, and six claims the literature does not support.


Body condition score (BCS) in buffalo differs from the other farm species at one point: the buffalo has its own system, developed in buffalo and validated by ultrasound. In dairy cattle the scale can be confused between countries; in small ruminants no definition table exists in the peer-reviewed literature; in beef cattle the normative guideline gives no score definitions. None of that applies to buffalo; a different problem arises instead: the scale is the same as the dairy cow's (1-5), the target value is not. The following sections cover the eight buffalo-specific check points, why the targets cluster in the 3.50-3.99 range, how much rumen fill blurs the measurement (it has been measured in Anatolian buffalo), and why the real bottleneck in reproduction is not condition but oestrus detection; claims the literature does not support or that should be read with caution are assessed separately.

Do not carry the dairy cow's target across to buffalo

In both species the scale is 1-5, which is why the error is invisible. But in the dairy cow the target at calving is 3.0-3.25, and in buffalo it is 3.50-3.99. A buffalo managed to the dairy cow's target calves roughly half a unit under condition.

Oestrus Calendar (buffalo supported) Gestation Calendar (buffalo supported)

1. A Species-Specific, Validated System

Alapati et al. (2010) built a BCS system for Murrah buffaloes from the ground up. The design of the study matters for understanding why the measure is trustworthy: an anatomical assessment was first carried out on 50 slaughtered buffaloes, the system was then tested on 200 live animals, and finally fat reserves were measured by ultrasound in 50 buffaloes, 10 per score.

The validation results are strong: as the score increased, so did the fat reserve (p < 0.01); the correlation between BCS and ultrasonographically measured fat reserves was r = 0.854, and between BCS and carcass fat reserves r = 0.860.

The developers' own rationale.

Alapati et al. (2010) write that BCS systems developed for dairy cows could not be apt for scoring buffaloes because of the structural and functional differences between the two species. This statement is not an assumption but a summary of the study's underlying rationale. On the small-ruminant and beef-cattle side the definition tables had to be taken from extension documents; in buffalo a peer-reviewed, species-specific, ultrasound-validated source is available.

2. The Anatomical Rationale

The reason the cattle system does not transfer is not abstract; it is something the hand feels. Alapati et al. (2010) report that buffalo differ from cattle at three points:

  • The lumbar spinous processes are narrower and pointed — in cattle they are wide and blunt.
  • The pelvic measurements are larger.
  • The ribs are more curved.

The practical consequence of the first item is direct: a pointed process feels sharper to the finger even beneath a fat cover of the same thickness. Someone scoring with cattle habits is therefore inclined to judge buffalo systematically thinner than they are. The error here lies not in the measure but in the assessor not being sufficiently calibrated to the anatomical differences between species.

3. Same Scale, Different Target

In small ruminants 0-5 may be confused with 1-5, and in beef cattle 1-9 with 1-5; but those confusions are detectable in the text, because a value such as 7 does not exist on a 1-5 scale. In buffalo, by contrast, the scale range is identical to the dairy cow's, so no such marker exists.

Buffalo and dairy cows use the same 1-5 scale, but their targets at calving differ.

In dairy cattle the optimum BCS at calving is 3.0-3.25 (the established target based on the Edmonson et al. 1989 chart). In buffalo, Alapati et al. (2022) report that animals in the 3.50-3.99 range at calving performed best among four groups. The difference is around half a unit, and because both values fall within 1-5 there is no distinguishing marker in the text. A buffalo herd managed to the dairy cow's target calves systematically under condition.

3.1 The Step Size Varies Too

Even within the same 1-5 range, published systems are divided at different resolutions:

SystemRangeStepSource
Murrah buffalo (species-specific, ultrasound-validated)1-50.5Alapati et al. (2010)
Nili Ravi buffalo (assessor consistency tested)1-50.25Magsi et al. (2022)
Anatolian buffalo (relationship with rumen fill)1-5not statedAtasever et al. (2020)
Beef buffalo (welfare standard)1-91Certified Humane — Beef Water Buffaloes

Because the Alapati et al. (2010) system uses 0.5 steps, in practice it works like a nine-step scale. This invites confusion with the 1-9 scale: nine steps does not mean nine points. On the genuine 1-9 scale used in the welfare standard for beef buffalo the target range is 4-6, and those numbers cannot be transferred to a 1-5 scale.

4. The Eight Check Points

In cattle, six regions are commonly assessed. Alapati et al. (2010) define eight skeletal check points in buffalo, and three of them are directly depression regions — that is, what is measured is not the bony process itself but how full the gap between two processes is.

#Check pointWhat is assessed
1Tail head to pinsFullness of fat
2Spinous processes of the lumbar vertebraeSharpness — narrow and pointed in buffalo
3Depression between the spinous and transverse processesDepth of the depression
4Transverse processes of the lumbar vertebraeWhether a finger passes under their tips
5Between the 12th and 13th ribsRib cover
6Sacral crestProminence
7Depression between the sacral crest and the hooksDepth of the depression
8Depression between the hooks and the pinsDepth of the depression

That three of the eight points are depressions shows where the system places its weight. This asks for a different kind of attention than the question customary in cattle, "can the process be felt": in buffalo, how full the space between two bones is is scored as much as the bone itself. No study explaining the physiological reason for this emphasis on depressions was encountered in this review; what is certain is that the measure counts them separately — so they must not be skipped while scoring.

5. Assessor Consistency Requires Training

Magsi et al. (2022) measured inter- and intra-assessor consistency in Nili Ravi buffaloes using the 1-5 scale at 0.25 steps. The finding has two sides: consistency was not adequate initially, but it rose to a substantial level after training on live animals.

The practical meaning is clear. In buffalo, a scale with 0.25 steps asks for a finer resolution than an untrained observer can distinguish. For a producer who will score the herd himself, the sensible course is to start with 0.5 steps and increase the resolution once consistency is achieved. Scoring the same animal twice two weeks apart and checking whether the same value comes out is the simplest form of this calibration.

6. Rumen Fill Blurs the Measurement — It Was Measured in Anatolian Buffalo

This is the principal accessible study from Turkey's point of view. Atasever, Erdem and Okuyucu (2020) assessed 66 Anatolian buffaloes on four farms in the Middle Black Sea region by two measures together: body condition score (1-5) and rumen fill score (1-4; a lower point meaning a relatively empty rumen).

A moderate correlation between BCS and rumen fill: r = 0.536.

This means the two measures share about 29% of their variance (r² ≈ 0.29). In other words, the condition score reads to some extent not only the animal's true fat reserve but also how much feed is in its rumen at that moment. In the same study, neither BCS nor rumen fill was affected by non-genetic factors such as farm, parity and stage of lactation — so the observed relationship is not an artefact of those factors.

Translated into practice: score the herd always at the same hour and at the same position relative to feeding. A herd scored immediately after the morning feed cannot be compared with one scored in the evening. This is the numerically measured, buffalo version of the warning in the beef cattle article that "shrink can shift a whole score".

7. Targets: An Optimum Range, and a Penalty in Both Directions

Alapati et al. (2022) divided Murrah buffaloes into four groups by their BCS at calving and compared postpartum performance. The 3.50-3.99 range came out best on every measure.

MeasureBest group: BCS 3.50-3.99
Resumption of ovarian activity29.33 days
Postpartum oestrus interval46.66 days
Service period58.83 days
Services per conception1.50
First-service conception rate66.66%
Breeding efficiency90.64%
Total milk yield to 18 weeks1,658.67 kg
305-day predicted lactation yield3,187.3 kg
Peak milk yield16.5 kg

The other three groups compared: 2.50-2.99 · 3.00-3.49 · 4.00-4.49.

The point to note here is this: the 3.50-3.99 range was better not only than the two groups below it but also than the 4.00-4.49 group above it. In buffalo, then, the relationship is a U-curve — excess condition also carries a penalty. This departs markedly from beef cattle: there the dominant risk was deficient condition and the target was a lower bound in the form of "at least 5". In buffalo the target is a range and resembles the dairy cow's U-curve — but the range itself sits above the dairy cow's.

Alapati et al. (2020) separately examined the relationship of BCS with milk production measures in the same group of animals; Gamit et al. (2016) examined, in Surti buffaloes, the relationship of the interval to postpartum oestrus with BCS, milk yield and blood biochemistry. Different breeds, same direction.

7.1 Why Might the Target Sit Above the Dairy Cow's?

The sources say what the target is; they do not say why it is there. The assessment below is therefore an inference, not a measured finding — but it helps establish the logic in the field.

Buffalo milk is markedly higher in fat than cow's milk. The direct consequence is that the amount of energy leaving the body with the same litre of milk is higher in buffalo. "Fifteen litres a day" therefore denotes a greater energy flow in buffalo than in the dairy cow, and the load placed on body reserves across lactation rises in proportion. That the target at calving sits half a unit higher is consistent with this picture: the buffalo needs to enter lactation with a fuller store.

This composition has also been studied locally in Turkey: Göncü and Gökçe (2025) examined the milk yield characteristics and fatty acid composition of Anatolian buffalo in Osmaniye Province. What is needed to put a number on the reasoning above is the joint monitoring of BCS and energy balance in the same herds — that study does not yet exist.

8. In Reproduction the Real Bottleneck Is Not Condition but Detection

The clearest departure of buffalo from cattle emerges here: BCS is not a sufficient measure on its own.

Banu et al. (2012) followed the ovarian cycle in 23 postpartum buffaloes by milk progesterone ELISA. The results were as follows: 47 ovulatory cycles were detected in 17 buffaloes, but oestrus could be observed once in only 13 animals — an oestrus detection rate of 28%. The interval from calving to first luteal activity ranged from 41 to 123 days, and to the first observed oestrus from 83 to 135 days.

The cycle may have begun and still escape detection by observation.

According to the data of Shah et al. as reported in the same paper, the incidence of silent or sub-oestrus in buffaloes has been reported between 6% and 73%. The width of that range is a finding in itself: more than a tenfold uncertainty. The practical consequence: bringing condition to target in buffalo is necessary but not sufficient — if the cycle has begun and cannot be detected, the calendar slips anyway. Measurement (milk progesterone, bull proximity, systematic observation) is the inseparable companion of condition management.

The same study's finding on BCS points in the expected direction: buffaloes in better condition completed the calving-to-oestrus interval more quickly and gave more milk (p < 0.05). The authors' conclusion is that good condition may be an indicator of the resumption of cyclicity in buffalo.

One finding runs against intuition and must be read carefully: buffaloes that began cycling later in the postpartum period had fewer missed oestruses (p < 0.05). This does not mean that cycling late is good; it most likely reflects that observation is harder in the early period and that the first cycles run more silently. It should be presented as the subgroup finding of a single study.

8.1 Accounting for the Season

Reproduction in buffalo may show a more pronounced seasonal pattern than in cattle; Zicarelli (2019) addresses approaches to improving reproductive performance in the domestic dairy buffalo within that frame. Where this intersects with condition management is practical: if the seasonal curve of pasture and forage quality coincides with the breeding season, condition loss and poor fertility gather in the same calendar window.

In Turkey, Anatolian buffalo are largely kept on small family farms and in regional concentrations; Yılmaz, Şahin and Elsabagh (2021) documented these practices in Iğdır Province. In such a structure the person doing the scoring is usually the owner — so it is more valuable for the measure to be simple, repeatable and applicable at 0.5 steps than to be theoretically precise (see Section 5).

9. Condition Is Only One of Several Manageable Factors

Kumar et al. (2020) collected postpartum anoestrus interval (PPAI) and 38 other variables from 575 Murrah buffaloes in 375 households under field conditions. Among the studies reviewed this has the largest sample, and its finding clarifies where BCS belongs.

Factor significantly associated with postpartum anoestrusSignificanceType
Pelvic girdle score (BCS component)p < 0.0001Condition
Parityp < 0.0001Animal-related
Shelter cleanlinessp < 0.001Management
Male proximityp < 0.005Management
Girth (BCS component)p < 0.05Condition

Two things stand out. First, condition was significant not as a single composite score but through its components — the strongest association was with the pelvic girdle score. This is consistent with the Alapati system defining eight points separately: in buffalo a "total score" may be dissolving some information into an average.

Second, and more important in practice: shelter cleanliness and male proximity were significant too. A producer wanting to shorten postpartum anoestrus in the herd therefore has levers other than feed — and these are usually cheaper. The effect of male proximity gains additional meaning when read together with the difficulty of oestrus detection (Section 8).

10. The Transition Period and Metabolic Status

Delfino et al. (2018) followed 37 multiparous Murrah buffaloes through the last 30 days of pregnancy and the first 70 days after calving; the animals were divided into two groups by their BCS at calving and kept under the same environmental, feeding and management conditions.

The authors' conclusion is this: buffaloes exhibited variation in oxidative stress during the transition period in relation to their metabolic status; in animals that were in high condition at calving and mobilised more lipid, the change in oxidative status was more marked, but production performance was better.

Limitation: there is a published inconsistency in the abstract of Delfino et al. (2018) — per-group figures should not be quoted from it.

In the abstract the groups are defined as "BCS > 3.5 = high condition (HBCS, n = 17)" and "BCS ≤ 3.5 = low condition (LBCS, n = 20)". Yet the means given immediately afterwards contradict the definitions: 2.98 for HBCS and 4.21 for LBCS. That is, the high-condition group's mean appears low and the low-condition group's mean appears high — the labels are transposed. The study's qualitative conclusion (high condition → more lipid mobilisation → more marked oxidative change, but better production) is internally consistent; but quoting per-group numerical values from that abstract leads to error. These values should not be used without seeing the tables of the full text.

11. Turkey: The Anatolian Buffalo

The Anatolian buffalo belongs to the Mediterranean type of river buffalo and is raised in regional concentrations in Turkey. Honestly stated, the BCS picture is this: the only study I could access that takes BCS in Anatolian buffalo as its direct subject is Atasever et al. (2020), and even that establishes a relationship with rumen fill rather than a target value (Section 6).

The rest of the local literature stands around BCS without placing it at the centre:

  • Yılmaz, Şahin and Elsabagh (2021) examined current Anatolian buffalo husbandry practices in Iğdır Province.
  • Göncü and Gökçe (2025) addressed the milk yield characteristics and fatty acid composition of Anatolian buffalo in Osmaniye Province.
  • Erdem, Atasever and Okuyucu (2024) established the relationship between milk yield losses and locomotion score in Anatolian buffalo cows — a local example showing the link between a non-condition body score and yield.
  • Akkulak and Kul (2023) examined the effect of dam milk yield and milk composition on calf birth weight and growth performance.
  • Çinkaya and Tekerli (2023) studied the inheritance of body measurements and ultrasound-measured carcass traits in yearling Anatolian buffalo calves — that is, ultrasound-based tissue measurement is already feasible in Anatolian buffalo in Turkey.

The 3.50-3.99 target is Murrah-derived and has not been validated in Anatolian buffalo.

The study that gives the target value (Alapati et al., 2022) was conducted in Murrah buffaloes in India. The Nili Ravi data come from Pakistan. Anatolian buffalo are kept in a different production environment, at a different yield level, and largely on small family farms. Taking the target as a starting point is reasonable; presenting it as a firm threshold until a local validation study exists is not. As Çinkaya and Tekerli (2023) show, the method required (ultrasound) is available in the country — what is missing is a study validating BCS against fat reserves in Anatolian buffalo.

12. The State of the Literature and Its Limitations

Comparing reference counts across species would be misleading; but one must be clear about the breadth of the evidence base. The buffalo BCS literature is limited compared with cattle and is concentrated at two points:

  • Breed concentration: Almost all of the target and validation studies we have come from the Murrah (India) and Nili Ravi (Pakistan) breeds.
  • Validation concentration: The only foundational study validating the measure against fat reserves is Alapati et al. (2010). That study is strong (r = 0.854 and 0.860) but an independent replication of it was not found in this review.

This does not mean the measure should not be used — on the contrary, in buffalo we have something the small-ruminant and beef sides of cattle do not: a species-specific, peer-reviewed, ultrasound-validated system. What it means is this: use the numbers as a direction, not a threshold, and accumulate your own herd's records. Seeing from your own data that animals calving at 3.7 do better than those calving at 3.2 is a firmer basis than an imported threshold.

13. Claims Not Supported or to Be Read with Caution

13.1 "A buffalo is a bovine, so the dairy cow BCS table applies"

By the rationale of the very team that built the system, this is wrong. Alapati et al. (2010) state that systems developed for dairy cows could not be apt for scoring buffaloes because of the structural and functional differences between the two species, and cite as grounds the narrow, pointed lumbar spinous processes, the larger pelvic measurements and the more curved ribs of buffalo.

13.2 "The scale is 1-5, so the target is the same"

This is one of the points most often confused in practice. In dairy cattle the target at calving is 3.0-3.25 and in buffalo 3.50-3.99; the scale is the same yet the target differs. Because no distinguishing marker appears in the text, the likelihood of it going unnoticed is higher than with the other scale confusions.

13.3 "Being fat is harmless in buffalo"

In Alapati et al. (2022) the 4.00-4.49 group was worse than the 3.50-3.99 group. The relationship is a U-curve. Delfino et al. (2018) further report that lipid mobilisation and the change in oxidative status were more marked in animals in high condition at calving. In this respect buffalo resemble the dairy cow far more than beef cattle.

13.4 "The silent oestrus rate in buffalo is X%"

What is reported at source is not a single value but a range between 6% and 73% (Shah et al., via Banu et al. 2012). Reducing a range carrying more than a tenfold uncertainty to a single number makes a herd decision look more certain than it is.

13.5 "If I fix the condition, postpartum anoestrus is solved"

In Kumar et al. (2020) the condition components were significant, but so were shelter cleanliness (p < 0.001) and male proximity (p < 0.005). Condition is a necessary lever, not the only one. Moreover, in a species where the oestrus detection rate was measured at 28%, keeping the calendar takes separate work even once the cycle begins.

13.6 "The Alapati system has nine steps, so it is a 1-9 scale"

This is not correct. The system divides the 1-5 range into 0.5 steps; this produces nine steps but the scale remains 1-5. It must not be confused with the genuine 1-9 scale used in the beef buffalo welfare standard (target 4-6). If you see a target such as 6 or 7 in a source, that source is not using 1-5.

14. The Decision Sequence in the Field

#WhenAction
1At the start — calibrationFix the scale as 1-5 at 0.5 steps. Cattle habits tend to make buffalo look thin (narrow, pointed processes); in the first week, score the same animals twice and test your own consistency.
2At every scoringAssess the herd always at the same hour and at the same position relative to feeding. A correlation of r = 0.536 has been measured between rumen fill and score; if the hour changes, the data are not comparable.
3Entering the dry periodDetermine the distance to the target range (3.50-3.99). If thin, this is where the time for intervention lies; if fat, treat above the target range as a penalty as well.
4CalvingScore and record. This value largely determines the milk yield and fertility measures of the following lactation.
5After calvingPlace detection alongside condition: systematic observation, bull proximity, progesterone measurement if needed. Count shelter cleanliness on this list too.
6End of yearLook at your own herd's records: which range of calving score gave you the shortest service period? Not an imported threshold but the range your own data shows is your target.
Related VetKriter Tools

Note: among the VetKriter tools, a buffalo species option currently exists only in these two. The live weight estimator and the ration calculators do not yet cover buffalo — do not enter buffalo measurements into a cattle formula.

15. References

  • Akkulak, Ö., & Kul, E. (2023). Effects of dam milk yield and milk composition on birth weight and growth performance of Anatolian buffalo calves. Buffalo Bulletin, 42(4), 491-500. doi:10.56825/bufbu.2023.4243982
  • Alapati, A., Kapa, S. R., Jeepalyam, S., Rangappa, S. M. P., & Yemireddy, K. R. (2010). Development of the body condition score system in Murrah buffaloes: validation through ultrasonic assessment of body fat reserves. Journal of Veterinary Science, 11(1), 1. doi:10.4142/jvs.2010.11.1.1 (The founding and only foundational validation study of the measure.)
  • Alapati, A., Kapa, S. R., & Jeepalyam, S. (2020). Influence of body condition score on milk production parameters of Murrah buffaloes. Journal of Applied Life Sciences International, 23(12), 12-17. doi:10.9734/jalsi/2020/v23i1230200
  • Alapati, A., Kapa, S. R., & Jeepalyam, S. (2022). Effect of body condition score at calving on postpartum performance of Murrah buffaloes. Indian Journal of Animal Research. doi:10.18805/ijar.b-4795 (Source of the 3.50-3.99 target range.)
  • Atasever, S., Erdem, H., & Okuyucu, İ. C. (2020). Interrelationships of body condition score with rumen fill in Anatolian buffalo herds. Pakistan Journal of Zoology, 52(3). doi:10.17582/journal.pjz/20190424120405 (The only accessible study taking BCS in Anatolian buffalo as its direct subject.)
  • Banu, T. A., Shamsuddin, M., Bhattacharjee, J., & Islam, M. F. (2012). Milk progesterone enzyme-linked immunosorbent assay as a tool to investigate ovarian cyclicity of water buffaloes in relation to body condition score and milk production. Acta Veterinaria Scandinavica, 54(1), 30. doi:10.1186/1751-0147-54-30
  • Certified Humane (Humane Farm Animal Care). Beef water buffaloes — animal care standards. (Institutional welfare standard — not peer-reviewed research; uses the 1-9 scale, target 4-6.)
  • Çinkaya, S., & Tekerli, M. (2023). Inheritance of body size and ultrasound carcass traits in yearling Anatolian buffalo calves. Archives Animal Breeding, 66(4), 325-333. doi:10.5194/aab-66-325-2023
  • Delfino, N. C., Bulcão, L. F. de A., Alba, H. D. R., et al. (2018). Influence of body condition score at calving on the metabolic status and production performance of Murrah buffaloes (Bubalus bubalis) during the transition period. Asian-Australasian Journal of Animal Sciences, 31(11), 1756-1765. doi:10.5713/ajas.17.0223 (The group means in the abstract contradict the group definitions — see Section 10.)
  • Edmonson, A. J., Lean, I. J., Weaver, L. D., Farver, T., & Webster, G. (1989). A body condition scoring chart for Holstein dairy cows. Journal of Dairy Science, 72(1), 68-78. doi:10.3168/jds.S0022-0302(89)79081-0 (For the dairy cow comparison.)
  • Erdem, H., Atasever, S., & Okuyucu, İ. C. (2024). Relationships between milk yield losses and locomotion score in Anatolian buffalo cows. Buffalo Bulletin, 43(3), 407-417. doi:10.56825/bufbu.2024.4335377
  • Gamit, P., Singh, R. R., Kumar, A., & Kharadi, V. (2016). Relationship of postpartum interval to estrus, body condition score, milk yield and blood biochemical parameters in Surti buffaloes (Bubalus bubalis). Journal of Applied and Natural Science, 8(2), 899-904. doi:10.31018/jans.v8i2.894
  • Göncü, S., & Gökçe, G. (2025). Milk yield characteristics and fatty acid composition of Anatolian water buffalo in Osmaniye Province. Çukurova University Journal of the Faculty of Agriculture. doi:10.36846/cjafs.2025.204
  • Kumar, T. V. C., Sharma, D., Surla, G. N., et al. (2020). Body condition score, parity, shelter cleanliness and male proximity: highly associated non-genetic factors with post-partum anestrus in Murrah buffalo in field conditions. Animal Reproduction Science, 214, 106282. doi:10.1016/j.anireprosci.2020.106282 (575 buffaloes, 375 households — the largest sample in this review.)
  • Magsi, S. H., Ahmad, N., Rashid, M. A., et al. (2022). Validation of a body condition scoring system in Nili Ravi dairy buffaloes (Bubalus bubalis): inter- and intra-assessor variability. Journal of Dairy Research, 89(4), 382-385. doi:10.1017/S0022029922000723
  • Shah, S. N. H., et al. Incidence of silent or sub-oestrus in buffaloes (6-73%). (Primary text not accessed; conveyed via Banu et al. 2012.)
  • Yılmaz, İ., Şahin, O., & Elsabagh, M. (2021). Current Anatolian water buffalo (Bubalus bubalis) husbandry practices at Iğdır Province, Turkey. ISPEC Journal of Agricultural Sciences, 5(1), 107-117. doi:10.46291/ispecjasvol5iss1pp107-117 (Full text not accessed; the record was verified via Crossref.)
  • Zicarelli, L. (2019). Enhancing reproductive performance in domestic dairy water buffalo (Bubalus bubalis). Bioscientifica Proceedings. doi:10.1530/biosciprocs.7.032
Tags: Vücut Kondisyon Skoru VKS BCS Manda Anadolu Mandası Bubalus bubalis Murrah Buzağılama Sessiz Kızgınlık Rumen Doluluğu

Frequently Asked Questions

It should not be. The team that developed the system used in buffalo state explicitly that systems developed for dairy cows could not be apt for scoring buffaloes because of the structural and functional differences between the two species, citing as grounds the narrower and pointed lumbar spinous processes, the larger pelvic measurements and the more curved ribs of buffalo. Because a pointed process feels sharper to the finger even beneath a fat cover of the same thickness, someone scoring with cattle habits is inclined to judge buffalo systematically thinner than they are.

The optimum range reported for buffalo is 3.50 to 3.99 on the 1-5 scale. In the study comparing four groups this range came out better than both the groups below it and the 4.00-4.49 group above it, so the relationship is a U-curve and excess condition also carries a penalty. The critical point is this: although the scale is the same as the dairy cow's, the target is not. In dairy cattle the target at calving is 3.0-3.25. A buffalo managed to the dairy cow's target calves roughly half a unit under condition, and that error has no visible sign.

Not on its own. In a study of 575 buffaloes in 375 households under field conditions the condition components were significant, but shelter cleanliness and male proximity were significant too. Moreover the real bottleneck in buffalo is not condition but detection: one study measured an oestrus detection rate of 28 percent, while the incidence of silent or sub-oestrus has been reported between 6 and 73 percent. If the cycle has begun and cannot be detected, the calendar slips anyway; systematic observation, bull proximity and, if needed, progesterone measurement should therefore sit alongside condition management.

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