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Research article · 2025 · Full text

International Journal of Agriculture and Food Science

Effect of Non-Genetic Factors on Production Traits in Gir Cattle

S. S. PatilS. P. PoulR. J. DesaleDeepika WakhareYash Patil

Volume 7(10) · Pages 464–467 · DOI: 10.33545/2664844x.2025.v7.i10g.909 ↗

Research areasGenetic and phenotypic traits in livestock

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Abstract

Author-written

The data on production performance of Gir maintained at “Shree Nashik Panchavati Panjarpole, Nashik (M.S) were utilized for present study. The least squares means of total lactational milk yield (kg), lactation length (days), dry period (days) and peak milk yield (kg) were estimated by considering the effects of period of calving, season of calving and lactation order as non-genetic factors. The overall least squares mean for total lactational milk yield, lactation length, dry period and PMY in Gir cattle were 1887.38 ± 16.68 kg, 266.14 ± 1.38 days, 108.15 ± 1.25 days and 9.14 ± 0.12 kg, respectively. The effect of period of calving was significant on all traits TLMY, LL, DP, PMY; the effect of season of calving was significant on TLMY, LL and DP, while it was non-significant on trait PMY; the effect of order of lactation was significant on traits LL, PMY and DP while it was non-significant on trait TLMY.9.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • India has the world's largest cattle population, with animals primarily used for milk production and draught power. View evidence ↗

      Why it matters

      India has the world's largest cattle population, with animals primarily used for milk production and draught power.

      In the paper's own words

      “India ranks first globally in cattle population, where rearing practices primarily aim to fulfill two essential functions milk production and draught power.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Gir cattle are considered one of India's premier dairy breeds, originating from the Saurashtra region of Gujarat. View evidence ↗

      Why it matters

      Gir cattle are considered one of India's premier dairy breeds, originating from the Saurashtra region of Gujarat.

      In the paper's own words

      “Among these, Gir cattle hold a distinguished position as one of India’s finest dairy breeds, native to the Gir forests and hilly regions of Saurashtra in Gujarat”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The productivity of native dairy herds is influenced by both their genetic potential and environmental factors like nutrition and management. View evidence ↗

      Why it matters

      The productivity of native dairy herds is influenced by both their genetic potential and environmental factors like nutrition and management.

      In the paper's own words

      “The efficiency of indigenous dairy herds is governed by both productive and reproductive performance, which are affected by genetic potential along with environmental influences such as management practices, nutrition, and seasonal variations.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to estimate how non-genetic factors, specifically the period of calving, season of calving, and lactation order, affect total milk yield, lactation length, dry period, and peak milk yield in Gir cattle. View evidence ↗

      The question

      The study aimed to estimate how non-genetic factors, specifically the period of calving, season of calving, and lactation order, affect total milk yield, lactation length, dry period, and peak milk yield in Gir cattle.

      In the paper's own words

      “The least squares means of total lactational milk yield (kg), lactation length (days), dry period (days) and peak milk yield (kg) were estimated by considering the effects of period of calving, season of calving and lactation order as non-genetic factors.”

      Page 1

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Data were collected over a 7-year period from 2018 to 2024 from Gir cows at the Shree Nashik Panchavati Panjarpole. View evidence ↗

      What they did

      Data were collected over a 7-year period from 2018 to 2024 from Gir cows at the Shree Nashik Panchavati Panjarpole.

      In the paper's own words

      “The data of Gir cows maintained at “Shree Nashik Panchavati Panjarpole” for a period from 2018 to 2024 (7 years) were collected”

      Page 1

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 1 ↗
    • The analysis categorized data into three calving periods (P1, P2, P3), three calving seasons (Rainy, Winter, Summer), and seven lactation orders (L1 through L7). View evidence ↗

      What they did

      The analysis categorized data into three calving periods (P1, P2, P3), three calving seasons (Rainy, Winter, Summer), and seven lactation orders (L1 through L7).

      In the paper's own words

      “the research data were classified into 3 periods of calving viz. P1 (2018-2019), P2(2020-2021), P3 (2022-2024); 3 seasons of calving, viz. S1 (Rainy) June- September, S2 (Winter) October-January and S3 (Summer) February-May; 7 order of lactation viz. L1 first lactation, L2 second lactation, L3 third lactation, L4 fourth lactation, L5 fifth lactation, L6 sixth lactation and L7 seventh lactation.”

      Page 1

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 1 ↗
    • The researchers used least-square analysis to estimate the effects of the non-genetic factors. View evidence ↗

      What they did

      The researchers used least-square analysis to estimate the effects of the non-genetic factors.

      In the paper's own words

      “The effects of non-genetic factors like period of calving, season of calving and parity were estimated by using least-square analysis as suggested by Harvey (1990) [6].”

      Page 1

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 1 ↗
  4. What they found

    • The overall average values for the herd were 1887.38 ± 16.68 kg for total milk yield, 266.14 ± 1.38 days for lactation length, 108.15 ± 1.25 days for the dry period, and 9.14 ± 0.12 kg for peak milk yield. View evidence ↗

      What they found

      The overall average values for the herd were 1887.38 ± 16.68 kg for total milk yield, 266.14 ± 1.38 days for lactation length, 108.15 ± 1.25 days for the dry period, and 9.14 ± 0.12 kg for peak milk yield.

      In the paper's own words

      “The overall least squares mean for total lactational milk yield, lactation length, dry period and PMY in Gir cattle were 1887.38 ± 16.68 kg, 266.14  1.38 days, 108.15  1.25 days and 9.14 ± 0.12 kg, respectively.”

      Page 1

      Found in: Results and Discussion Overall least-squares means of production traits

      Read it in the full textOpen PDF at page 1 ↗
    • Total lactational milk yield was highest for cows calved in period P1 (1968.22 ± 35.18 kg) compared to P2 (1918.65 ± 24.15 kg) and P3 (1775.26 ± 15.35 kg). View evidence ↗

      What they found

      Total lactational milk yield was highest for cows calved in period P1 (1968.22 ± 35.18 kg) compared to P2 (1918.65 ± 24.15 kg) and P3 (1775.26 ± 15.35 kg).

      In the paper's own words

      “In Gir, the total lactational milk yield (kg) of cattle calved during period P1 (1968.22 ±35.18 kg) was substantially higher than those cows calved during P2 (1918.65 ± 24.15 kg) and P3 (1775.26 ± 15.35 kg).”

      Page 2

      Found in: Results and Discussion Overall least-squares means of production traits

      Read it in the full textOpen PDF at page 2 ↗
    • Winter calving (S2) resulted in the highest total milk yield (1990.02 ± 19.31 kg), while rainy season (S1) calving was the lowest (1768.21 ± 26.03 kg). View evidence ↗

      What they found

      Winter calving (S2) resulted in the highest total milk yield (1990.02 ± 19.31 kg), while rainy season (S1) calving was the lowest (1768.21 ± 26.03 kg).

      In the paper's own words

      “total lactational milk yield was detected highest when cows calved during winter season S2 (1990.02 ± 19.31 kg) than those who calved during rainy season S1 (1768.21 ± 26.03 kg) and summer season S3 (1903.90 ± 23.50 kg).”

      Page 2

      Found in: Results and Discussion Overall least-squares means of production traits

      Read it in the full textOpen PDF at page 2 ↗
    • Lactation length decreased across the study periods, with P1 being the longest (283.19 ± 2.92 days) and P3 the shortest (247.27 ± 1.27 days). View evidence ↗

      What they found

      Lactation length decreased across the study periods, with P1 being the longest (283.19 ± 2.92 days) and P3 the shortest (247.27 ± 1.27 days).

      In the paper's own words

      “In Gir cow, lactation length (days) was higher in cows calved during period P1 (283.19  2.92 days) followed by P2 (267.96  2.00 days) and P3 (247.27  1.27 days).”

      Page 2

      Found in: Lactation length (LL)

      Read it in the full textOpen PDF at page 2 ↗
    • The longest lactation length occurred in winter (S2: 278.36 ± 1.60 days) and the shortest in summer (S3: 254.49 ± 1.95 days). View evidence ↗

      What they found

      The longest lactation length occurred in winter (S2: 278.36 ± 1.60 days) and the shortest in summer (S3: 254.49 ± 1.95 days).

      In the paper's own words

      “In Gir cattle, the highest lactation length was observed in cows calved during the winter S2 (278.36  1.60 days) season followed by rainy S1 (265.56 ± 1.60 days) and lowest in summer S3 (254.49 ± 1.95 days) season.”

      Page 2

      Found in: Lactation length (LL)

      Read it in the full textOpen PDF at page 2 ↗
    • The dry period increased over time, reaching its maximum in period P3 (124.18 ± 1.15 days) and its minimum in P1 (93.34 ± 2.64 days). View evidence ↗

      What they found

      The dry period increased over time, reaching its maximum in period P3 (124.18 ± 1.15 days) and its minimum in P1 (93.34 ± 2.64 days).

      In the paper's own words

      “In Gir cattle, the highest dry period was found in P3 (124.18 ± 1.15 days) followed by P2 (106.93 ± 1.81) and lowest in P1 (93.34 ± 2.64).”

      Page 2

      Found in: Dry period (DP)

      Read it in the full textOpen PDF at page 2 ↗
    • The dry period was longest in the seventh lactation (L7: 121.28 ± 4.30 days) and shortest in the first lactation (L1: 101.79 ± 1.78 days). View evidence ↗

      What they found

      The dry period was longest in the seventh lactation (L7: 121.28 ± 4.30 days) and shortest in the first lactation (L1: 101.79 ± 1.78 days).

      In the paper's own words

      “In Gir cattle, the highest dry period (days) was observed in cows during L7 (121.28  4.30 days) followed by L4 (111.12  2.32 days), L6 (107.93  3.14 days), L5 (105.98  2.71 days), L2 (104.67  1.79 days), L3 (104.28  2.09 days) and lowest in L1 (101.79  1.78 days) lactation.”

      Page 3

      Found in: Dry period (DP)

      Read it in the full textOpen PDF at page 3 ↗
    • Peak milk yield (PMY) was significantly higher in period P1 (9.74 ± 0.25 kg) than in P2 (9.37 ± 0.17 kg) or P3 (8.31 ± 0.11 kg). View evidence ↗

      What they found

      Peak milk yield (PMY) was significantly higher in period P1 (9.74 ± 0.25 kg) than in P2 (9.37 ± 0.17 kg) or P3 (8.31 ± 0.11 kg).

      In the paper's own words

      “The PMY of cows calved during period P1 (9.74  0.25 kg) was significantly higher than those calved in P2 (9.37  0.17 kg) and P3 (8.31  0.11 kg).”

      Page 3

      Found in: Peak milk yield (PMY)

      Read it in the full textOpen PDF at page 3 ↗
    • Peak milk yield peaked during the third lactation (L3: 9.57 ± 0.17 kg) and was lowest in the seventh lactation (L7: 8.03 ± 0.41 kg). View evidence ↗

      What they found

      Peak milk yield peaked during the third lactation (L3: 9.57 ± 0.17 kg) and was lowest in the seventh lactation (L7: 8.03 ± 0.41 kg).

      In the paper's own words

      “In Gir cattle, the highest PMY was observed during L3 (9.57  0.17 Kg) followed by L2 (9.49  0.17 kg), L5 (9.35  0.26 kg), L1 (9.20  0.20 kg), L4 (9.16  0.22 kg), L6 (9.16  0.30 kg) and lowest in L7 (8.03  0.41 kg) lactation.”

      Page 3

      Found in: Peak milk yield (PMY)

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors concluded that the period of calving significantly affects all measured traits, while the season of calving and lactation order have varying significant effects depending on the specific trait. View evidence ↗

      What it means

      The authors concluded that the period of calving significantly affects all measured traits, while the season of calving and lactation order have varying significant effects depending on the specific trait.

      In the paper's own words

      “The effect of period of calving was significant on all traits TLMY, LL, DP, PMY; the effect of season of calving was significant on TLMY, LL and DP, while it was non-significant on trait PMY; the effect of order of lactation was significant on traits LL, PMY and DP while it was non-significant on trait TLMY.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

Replotted from source data
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
TLMY: P₁ vs P₂ vs P₃
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

TLMY: P₁ vs P₂ vs P₃

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
TLMY: S1 vs S2 vs S3
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

TLMY: S1 vs S2 vs S3

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Least Square means of TLMY, LL, DP and PMY in Gir CattleTable 1Page 3
FULL TEXT Original article · reflowed for reading

Introduction

India ranks first globally in cattle population, where rearing practices primarily aim to fulfill two essential functions milk production and draught power. Economic limitations often compel farmers to maintain cattle capable of serving both purposes, providing milk as well as labour. Although a majority of native breeds are primarily used for draught purposes, breeds such as Gir, Red Sindhi, and Sahiwal are widely recognized for their exceptional milk-producing ability. The efficiency of indigenous dairy herds is governed by both productive and reproductive performance, which are affected by genetic potential along with environmental influences such as management practices, nutrition, and seasonal variations. Among these, Gir cattle hold a distinguished position as one of India's finest dairy breeds, native to the Gir forests and hilly regions of Saurashtra in Gujarat, with their distribution extending into adjoining areas of Maharashtra and Rajasthan. Locally, the breed is referred to by several names, including Bhodali, Desan, Gujarati, Kathiawari, and Sorthi. Gir cattle are easily identifiable by their characteristic convex forehead, long drooping ears, and smooth, glossy skin. In the Indian context, milk yield remains the key criterion for assessing breed suitability, and evaluation is based on attributes such as lactation duration, peak yield, and total lactation milk yield, which collectively indicate the animal's adaptability and productive potential under prevailing environmental and management conditions.

Materials and Methods

The data of Gir cows maintained at "Shree Nashik Panchavati Panjarpole" for a period from 2018 to 2024 (7 years) were collected for present investigation for following Traits: a) Productive traits: 1) Total lactation milk yield (kg) 2) Lactation length (days) 3) Dry period (days) 4) Peak milk yield (kg). To examine the production traits, the research data were classified into 3 periods of calving viz. P1 (2018-2019), P2(2020-2021), P3 (2022-2024); 3 seasons of calving, viz. S1 (Rainy) June-September, S2 (Winter) October-January and S3 (Summer) February-May; 7 order of lactation viz. L1 first lactation, L2 second lactation, L3 third lactation, L4 fourth lactation, L5 fifth lactation, L6 sixth lactation and L7 seventh lactation. The effects of non-genetic factors like period of calving, season of calving and parity were estimated by using least-square analysis as suggested by Harvey (1990) [6] .

The model was used with the assumption that different components being fitted into the model were as linear, independent and additive. The model used was as follows:

Model І

Model І

Yijkl = μ+ Si + Pj + Lk + eijkl

Where, Yijkl: Observation of l th parameters for i th season of calving, j th period of calving & k th lactation order µ: Overall mean Si: Effect of i th season of calving (i=1, 2, 3) Pj: Effect of j th period of calving (j=1, 2, 3) Lk: Effect of k th lactation order (k=1, 2, 3, 7)

Duncan's Multiple Range Test (DMRT)

Duncan's Multiple Range Test as modified by Kramer (1957) [12] was used to make pair wise comparison among the least square means with the use of inverse elements and root mean squares for error If the value:

>𝝈 2 e, Z(P, ne)

Where, Yi -Yj: Difference between two least squares means Cii: Corresponding i th diagonal elements of C matrix Cjj: Corresponding j th diagonal elements of C matrix Z (P, ne): Standardized range value in Duncan's table at the chosen level of probability for the error degrees of freedom P: Number of means involved in the comparison 𝜎 2 e: Root mean squares for error

Results and Discussion Overall least-squares means of production traits

The production traits of Gir cattle are shown in Table 1. The overall least-squares means for production traits were 1887.38 ± 16.68 kg for Total Lactational milk yield (TLMY), 266.14  1.38 days for Lactation length (LL), 9.14 ± 0.12 kg for peak milk yield (PMY) and 108.15  1.25 days for Dry period (DP), respectively. The findings for TLMY are in close agreement with Javed et al. (2000) [9] in Sahiwal (1779.04 ± 18.17 kg). Similar results were observed by Bairwa et al. (2022) [1] in Gir (273.83  5.01 days) for lactation length. Close agreement to the value reported by Krishna et al. (1991) [13] in HF x Deoni (10.48 ± 0.22 kg) and Chigale et al. (2016) [2] in Red Sindhi (9.13 ± 0.18 kg) for PMY. The result of present findings were in close agreement for DP reported by Jadhav (2011) [7] in Phule Triveni (100.84 ± 3.78 days) and Tawadar et al. (2021) [21] in Red Sindhi cattle.

Table 1. Least Square means of TLMY, LL, DP and PMY in Gir Cattle
EffectNTLMYLLDPPMY
µ1991887.38 ± 16.68266.14  1.38108.15  1.259.14 ± 0.12
Period of Calving
P₁301968.22 ±35.18a283.19  2.92a93.34 ± 2.64c9.74  0.25a
P₂581918.65 ± 24.15b267.96  2.00b106.93 ± 1.81b9.37  0.17b
P₃1111775.26 ± 15.35c247.27  1.27c124.18 ± 1.15a8.31  0.11c
Season of Calving
S1491768.21 ± 26.03c265.56 ± 1.60ab108.60 ± 1.96ab9.13  0.18
S2881990.02 ± 19.31a278.36  1.60a98.98 ± 1.45b9.18  0.13
S3621903.90 ± 23.50ab254.49 ± 1.95b116.87 ± 1.77a9.10  0.17
Lactation Order
L1421877.74 ± 23.69271.65  1.96a101.79  1.78b9.20  0.20ab
L2411879.65 ± 23.83269.70  1.97a104.67  1.79ab9.49  0.17ab
L3381887.53 ± 27.87271.61  2.31a104.28  2.09ab9.57  0.17a
L4291867.06 ± 30.05262.48  2.56ab111.12  2.32ab9.16  0.22ab
L5241940.51 ± 36.05269.84  2.99a105.98  2.71ab9.35  0.26ab
L6171919.91 ± 41.81267.23  3.47ab107.93  3.14ab9.16  0.30ab
L7081839.24 ± 57.13250.44  4.74b121.28  4.30a8.03  0.41b

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Least Square means of TLMY, LL, DP and PMY in Gir Cattle↗ Enlarge
Table 1
Least Square means of TLMY, LL, DP and PMY in Gir Cattle

Least Square means of TLMY, LL, DP and PMY in Gir Cattle

Open full-size image ↗
Original paper tableSource PDF · page 3 ↗

The influence of period of calving on total lactational milk yield was significant. These results were in agreement with the results by Kulkarni (2001) [14] in Red Sindhi cattle, Patond (2013) [18] in Gir triple cross cows and Jadhav et al. (2019) [8] in HF × Gir halfbreds. In Gir, the total lactational milk yield (kg) of cattle calved during period P1 (1968.22 ±35.18 kg) was substantially higher than those cows calved during P2 (1918.65 ± 24.15 kg) and P3 (1775.26 ± 15.35 kg).

The influence of season of calving on lactational milk yield was highly significant in Gir cow. These results were in agreement with Khade (2001) [11] in Gir crossbred cows, Nanavati and Singh (2004) [16] in Gir cattle, Garudkar (2011) [3] in Phule Triveni, Patond (2009) [17] in Jersey cattle. In the present study, total lactational milk yield was detected highest when cows calved during winter season S2 (1990.02 ± 19.31 kg) than those who calved during rainy season S1 (1768.21 ± 26.03 kg) and summer season S3 (1903.90 ± 23.50 kg). The variation due to lactation order in total lactational milk yield (kg) was non-significant in Gir cattle. Similar effects were reported by Radhika et al. (2012) [19] in crossbred cows and Kumar et al. (2020) in Sahiwal cows. In Gir cows, the higher total lactational milk yield (kg) was found during L5 (1940.51 ± 36.05 kg), followed by L6 (1919.91 ± 41.81 kg), L3 (1887.53 ± 27.87 kg), L2 (1879.65 ± 23.83 kg), L1 (1877.74 ± 23.69 kg), L4 (1867.06 ± 30.05 kg) and lowest in L7 (1839.24 ± 57.13 kg) lactation. In Gir cattle, no specific trend of total lactational milk yield was observed during different lactations.

Lactation length (LL)

The influence of the period of calving in lactation length was highly significant on Gir cattle. The significant effect of the period of calving on lactation length was noticed by Kulkarni (2001) [14] in Red Sindhi cows, Jadhav (2011) [7] in Phule Triveni. In Gir cow, lactation length (days) was higher in cows calved during period P1 (283.19  2.92 days) followed by P2 (267.96  2.00 days) and P3 (247.27  1.27 days). The variation due to the season of calving on lactation length was highly significant in Gir cattle. These results were similar to Javed et al. (2000) [9] in Sahiwal, Varade et al. (2002) [23] in Jersey crossbreds, and Thombare et al. (2013) [22] in HF x Deoni halfbreds. In Gir cattle, the highest lactation length was observed in cows calved during the winter S2 (278.36  1.60 days) season followed by rainy S1 (265.56 ± 1.60 days) and lowest in summer S3 (254.49 ± 1.95 days) season. The influence of the order of lactation on the lactation length was highly significant in Gir cattle. These results were similar found with Gawari (1999) and Kamble (2003) [4, 10] in Gir crossbred cows and Jadhav (2011) [6] in FG halfbreds. In Gir cattle, the highest lactation length was observed in L1 (271.65  1.96 days) lactation followed by L3 (271.61  2.31 days), L5 (269.84  2.99 days), L2 (269.70  1.97 days), L6 (267.23  3.47 days), L4 (262.48  2.56 days), and which was lowest in L7 (250.44  4.74 days) lactation.

Dry period (DP)

The influence of the period of calving in the dry period had a highly significant effect on Gir cattle. Similar results were noticed by Hadge et al. (2012) [5] in Jersey x Sahiwal crossbred cows, Nanavati and Singh (2004) [16] in Gir cattle. In Gir cattle, the highest dry period was found in P3 (124.18 ± 1.15 days) followed by P2 (106.93 ± 1.81) and lowest in P1 (93.34 ± 2.64). The influence of the season of calving in the dry period was highly significant in Gir cattle. These results were in agreement with Javed et al. (2000) [9] in Sahiwal cows and Jadhav (2011) [7] in IFG cows. In Gir cows, the longest dry period was observed in cows calved during summer S3 (116.87 ± 1.77 days) season followed by rainy S1 (108.60 ± 1.96 days) and shortest in those calved in winter S2 (98.98 ± 1.45 days) season. The influence of the order of lactation in the dry period was highly significant in Gir cattle. These results were similar to Talape (2010) [20] in Jersey cows and Jadhav (2011) [7] in FG cows. In Gir cattle, the highest dry period (days) was observed in cows during L7 (121.28  4.30 days) followed by L4 (111.12  2.32 days), L6 (107.93  3.14 days), L5 (105.98  2.71 days), L2 (104.67  1.79 days), L3 (104.28  2.09 days) and lowest in L1 (101.79  1.78 days) lactation.

Peak milk yield (PMY)

The variation due to period of calving in PMY was highly significant in Gir cattle. Similar results were reported by Patond (2009) [17] in Jersey cows, Kulkarni (2001) [14] in Red Sindhi. The PMY of cows calved during period P1 (9.74  0.25 kg) was significantly higher than those calved in P2 (9.37  0.17 kg) and P3 (8.31  0.11 kg). The variation due to the season of calving in PMY was nonsignificant in Gir cattle. Similar results were noticed by Patond (2009) [17] in Jersey and Garudkar (2011) [3] in Phule Triveni cattle. In Gir cattle, the highest PMY was observed in cows calved during the winter S2 (9.18  0.13 kg) season followed by S1 (9.13  0.18 kg) and lowest in S3 (9.10  0.17 kg). The difference due to order of lactation in PMY was significant in Gir cattle. Similar significant effect of the order of lactation on PMY was observed by Kulkarni (2001) [14] in Red Sindhi, Nanavati and Singh (2004) [16] Gir cattle. In Gir cattle, the highest PMY was observed during L3 (9.57  0.17 Kg) followed by L2 (9.49  0.17 kg), L5 (9.35  0.26 kg), L1 (9.20  0.20 kg), L4 (9.16  0.22 kg), L6 (9.16  0.30 kg) and lowest in L7 (8.03  0.41 kg) lactation.

Conclusion

The effect of period of calving was significant on all traits TLMY, LL, DP, PMY; the effect of season of calving was significant on TLMY, LL and DP, while it was nonsignificant on trait PMY; the effect of order of lactation was significant on traits LL, PMY and DP while it was nonsignificant on trait TLMY.

References

23 in the original paper
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