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Research article · 2025 · Full text

International Journal of Agriculture and Food Science

Statistical analysis of crop diversification in Ahilyanagar district of Maharashtra

Pooja ShindeG.A. Chavan

Volume 7(8) · Pages 428–435 · DOI: 10.33545/2664844x.2025.v7.i8f.642 ↗

Research areasAgricultural Economics and PracticesAgricultural risk and resilience

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Abstract

Author-written

The present study examined the spatio-temporal crop diversity of the Ahilyanagar district. The investigation relies on data gathered from the District Statistical Abstract of Ahmednagar and utilizes Gibbs and Martin's Index to assess the intensity of variation in crop diversity across tahsils. The result reveals that the northern tahsils such as Akole, Sangamner, Kopargaon, Rahata, Shrirampur, Newasa, Shevgaon, Pathardi, and Rahuri experienced high diversification, while in the southern semi-arid tahsil like Nagar, Parner, Shrigonda, Karjat, and Jamkhed indicates moderate diversification, where jowar cultivation dominated in 2013-14. However, in 2023-24, the picture has completely changed. Nagar, Parner, Shrigonda, Karjat, and Jamkhed tahsils have also jumped in high diversification. The tahsils, which have a heavy reliance on a single crop, are shifting to growing a variety of crops.

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

    • Crop diversification is a key strategy for achieving sustainable economic returns in the face of climate change and price volatility. View evidence ↗

      Why it matters

      Crop diversification is a key strategy for achieving sustainable economic returns in the face of climate change and price volatility.

      In the paper's own words

      “As agriculture continues to face challenges from price volatility and climate change, crop diversification, as measured by the GMI, provides vital insights for achieving sustainable economic returns.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Agriculture is the primary economic driver in the Ahilyanagar district of Maharashtra, supporting approximately 75.42% of the workforce. View evidence ↗

      Why it matters

      Agriculture is the primary economic driver in the Ahilyanagar district of Maharashtra, supporting approximately 75.42% of the workforce.

      In the paper's own words

      “The Ahilyanagar district is well known for agriculture in the Maharashtra state, where agriculture serves as the primary engine of growth. Approximately 75.42% of the total workforce's livelihood is derived from agriculture.”

      Page 1

      Found in: Introduction

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

    • The study aims to investigate the spatial and temporal patterns of crop diversity in the Ahilyanagar district to address economic and environmental challenges. View evidence ↗

      The question

      The study aims to investigate the spatial and temporal patterns of crop diversity in the Ahilyanagar district to address economic and environmental challenges.

      In the paper's own words

      “Therefore, an attempt has been made to investigate spatial-temporal crop diversity in Ahilyanagar district to tackle the challenges of price volatility and climate change.”

      Page 1

      Found in: Introduction

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

    • The researchers analyzed crop diversification using data from the District Statistical Abstract of Ahmednagar for the years 2013-14 and 2023-24. View evidence ↗

      What they did

      The researchers analyzed crop diversification using data from the District Statistical Abstract of Ahmednagar for the years 2013-14 and 2023-24.

      In the paper's own words

      “The present study used data from published reports on the District Statistical Abstract of Ahmednagar for the years 2013-14 and 2023-24 to examine crop diversification”

      Page 2

      Found in: Database and Methodology

      Read it in the full textOpen PDF at page 2 ↗
    • The diversification index ranges from zero, representing monoculture, to one, representing maximum diversification. View evidence ↗

      What they did

      The diversification index ranges from zero, representing monoculture, to one, representing maximum diversification.

      In the paper's own words

      “When a region grows only one crop exclusively, indicating monoculture, the index value is zero. In contrast, if the area is equally distributed among many crops, signifying maximum diversification, the index nears one.”

      Page 2

      Found in: Database and Methodology

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • The net sown area in the district increased from 1,303,590 hectares in 2013-14 to 1,572,298 hectares in 2023-24. View evidence ↗

      What they found

      The net sown area in the district increased from 1,303,590 hectares in 2013-14 to 1,572,298 hectares in 2023-24.

      In the paper's own words

      “In the last two decades, the net sown area (NSA) changed dramatically, increasing from 13,03,590 hectares to 15,72,298 hectares between 2013-14 and 2023-24, respectively.”

      Page 2

      Found in: Study Area

      Read it in the full textOpen PDF at page 2 ↗
    • The overall district crop diversification index increased from 0.80 in 2013-14 to 0.90 in 2023-24. View evidence ↗

      What they found

      The overall district crop diversification index increased from 0.80 in 2013-14 to 0.90 in 2023-24.

      In the paper's own words

      “The high spatio-temporal crop diversity has been observed at the tahsil level compared to the district, with crop diversification index values of 0.80 and 0.90, respectively, in 2013-14 and 2023-24.”

      Page 5

      Found in: Spatio-Temporal Trends in Crop Diversification

      Read it in the full textOpen PDF at page 5 ↗
    • In 2023-24, high diversity was recorded in several tahsils, including Rahata (0.85), Kopargaon (0.83), and Rahuri (0.83). View evidence ↗

      What they found

      In 2023-24, high diversity was recorded in several tahsils, including Rahata (0.85), Kopargaon (0.83), and Rahuri (0.83).

      In the paper's own words

      “In 2023-24, the crop diversification index shows that Rahata (0.85), Kopargaon (0.83), Rahuri (0.83), Newasa (0.81), and Sangamner (0.75) have high diversity”

      Page 5

      Found in: Spatio-Temporal Trends in Crop Diversification

      Read it in the full textOpen PDF at page 5 ↗
    • By 2023-24, southern tahsils like Karjat (0.87), Shrigonda (0.87), and Nagar (0.86) also exhibited high diversification. View evidence ↗

      What they found

      By 2023-24, southern tahsils like Karjat (0.87), Shrigonda (0.87), and Nagar (0.86) also exhibited high diversification.

      In the paper's own words

      “According to the 2023-24 results, Karjat (0.87), Shrigonda (0.87), Nagar (0.86), Jamkhed (0.75), and Partner (0.83) exhibit high diversity.”

      Page 5

      Found in: Spatio-Temporal Trends in Crop Diversification

      Read it in the full textOpen PDF at page 5 ↗
    • The shift toward diversification was marked by a sharp decline in jowar, which fell to 17% of the total cultivated area. View evidence ↗

      What they found

      The shift toward diversification was marked by a sharp decline in jowar, which fell to 17% of the total cultivated area.

      In the paper's own words

      “It reveals a sharp decline in jowar (17% of TCA) and an increase in sugarcane, cotton, fodder crops, and fruits and vegetables.”

      Page 5

      Found in: Spatio-Temporal Trends in Crop Diversification

      Read it in the full textOpen PDF at page 5 ↗
    • The increase in diversification index values in tahsils like Karjat and Shrigonda was driven by the rise of high-value crops such as sugarcane and cotton. View evidence ↗

      What they found

      The increase in diversification index values in tahsils like Karjat and Shrigonda was driven by the rise of high-value crops such as sugarcane and cotton.

      In the paper's own words

      “The results indicate that Karjat (0.47), Shrigonda (0.40), Partner (0.29), Jamkhed (0.28), and Nagar (0.23) show an increase in index value, which is due to the rapid rise in the high-value crops like sugarcane, cotton, fruits, and vegetables.”

      Page 5

      Found in: Spatio-Temporal Trends in Crop Diversification

      Read it in the full textOpen PDF at page 5 ↗
    • Changes in cropping patterns were attributed to improved irrigation, drip irrigation adoption, high-yielding seeds, mechanization, fertilizers, market prices, and government policies. View evidence ↗

      What they found

      Changes in cropping patterns were attributed to improved irrigation, drip irrigation adoption, high-yielding seeds, mechanization, fertilizers, market prices, and government policies.

      In the paper's own words

      “The cropping pattern changed due to improved irrigation facilities, the adoption of drip irrigation, the use of high-yielding variety seeds, mechanization, the application of chemical fertilizers, a high market price, and government policies.”

      Page 5

      Found in: Spatio-Temporal Trends in Crop Diversification

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

    • The authors conclude that improved irrigation has enabled tahsils previously reliant on single crops to shift toward a variety of high-value cash crops. View evidence ↗

      What it means

      The authors conclude that improved irrigation has enabled tahsils previously reliant on single crops to shift toward a variety of high-value cash crops.

      In the paper's own words

      “The increase in the irrigation facilities helps grow diverse, high-value crops. The tahsils, which have a heavy reliance on a single crop, are shifting to produce a variety of cash crops.”

      Page 6

      Found in: Conclusion

      Read it in the full textOpen PDF at page 6 ↗
    • The authors state that farmers are moving away from jowar toward high-value crops to ensure better economic returns. View evidence ↗

      What it means

      The authors state that farmers are moving away from jowar toward high-value crops to ensure better economic returns.

      In the paper's own words

      “Therefore, farmers are shifting from jowar to various high-value crops, which ensure economic returns.”

      Page 6

      Found in: Conclusion

      Read it in the full textOpen PDF at page 6 ↗

Visual summary

3 visuals

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

AI-generated illustration
AI-generated conceptual illustration (Agricultural fields in Maharashtra, India). It explains the idea and does not show study data.↗ Enlarge
Shift from Monoculture to Diversification
AI-generated conceptual illustration (Agricultural fields in Maharashtra, India). It explains the idea and does not show study data.

AI-generated conceptual illustration (Agricultural fields in Maharashtra, India). It explains the idea and does not show study data.

Open full-size image ↗

Shift from Monoculture to Diversification

AI-generated conceptual illustration (Agricultural fields in Maharashtra, India). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 4 (page 5) of the original paper. Every bar is the paper's own table value.↗ Enlarge
District: Index of... vs 2023-24
Replotted from Table 4 (page 5) of the original paper. Every bar is the paper's own table value.

Replotted from Table 4 (page 5) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

District: Index of... vs 2023-24

Replotted from Table 4 (page 5) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 4 (page 5) of the original paper. Every bar is the paper's own table value.↗ Enlarge
2023-24: Nagar vs Shrigonda vs Karjat
Replotted from Table 4 (page 5) of the original paper. Every bar is the paper's own table value.

Replotted from Table 4 (page 5) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

2023-24: Nagar vs Shrigonda vs Karjat

Replotted from Table 4 (page 5) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Location of Study AreaFigure 1Page 2Crop Diversification 2023-24Figure 2Page 4Crop Diversification during 2013-14 to 2023-24Table 3Page 5Crop Diversification Change during 2013-2014 to 2023-24Table 4Page 5Change in Crop Diversification during 2013-14 to 2023-24Figure 3Page 6Crop Diversification in 2013-14Table 1Page 8Crop Diversification in 2023-24Table 2Page 8
FULL TEXT Original article · reflowed for reading

Introduction

Crop diversity refers to the cultivation of various crops within a particular area (Gibbs & Martin, 1962) [10] . A higher degree of diversification is observed when numerous crops are grown in a given area. In contrast, crop specialization refers to the practice of growing a limited number of crops. Crop diversification, much like crop concentration, is a significant tool in the study of agriculture and land use. It indicates the variation in crops cultivated within a particular region. A higher degree of diversification is observed when numerous crops are grown in a given area, each occupying an approximately equal share of the total cultivated land. In contrast, crop specialization refers to the practice of growing a limited number of crops. Essentially, while diversification involves utilizing the land for multiple crop types, specialization focuses on just one or two primary crops (Jasbir Singh, 1976). According to the principle, "Greater competition leads to more diversification, whereas reduced competition results in specialization or monoculture practices. Several techniques, including the Herfindahl Index (HI), Ogive Index (OI), Composite Entropy Index (CEI), and Gibbs-Martin Index (GMI), are employed to analyze crop diversification. However, Gibbs & Martin's method is a widely used tool for studying crop diversification. Many scholars have utilized Gibbs & Martin's method to calculate crop diversification, such as Bhatia, S. S. [2,3,10,11,13,15,16,17,19,20,21] . As agriculture continues to face challenges from price volatility and climate change, crop diversification, as measured by the GMI, provides vital insights for achieving sustainable economic returns. The Ahilyanagar district is well known for agriculture in the Maharashtra state, where agriculture serves as the primary engine of growth. Approximately 75.42% of the total workforce's livelihood is derived from agriculture. Therefore, an attempt has been made to investigate spatial-temporal crop diversity in Ahilyanagar district to tackle the challenges of price volatility and climate change.

Study Area

Ahmednagar is one of the agricultural development districts in Maharashtra, covering approximately 12,56,500 hectares of agricultural land, and it has a geographical area of 17,418 sq. km, which supports a population of about 45,43,083 (Census, 2011) [22] . The study area extends between 18°2' to 19°9' N latitude and 73°9' to 75°5' E longitude. The district comprises fourteen tahsils, encompassing 1,581 villages. Agriculture is a growth engine for the district's economy. Approximately 75.42% of the total workforce's livelihood is derived from agriculture. The district is situated in the semiarid climatic zone, where rainfall is scanty, and the amount of rainfall rapidly declines towards the east. In the last two decades, the net sown area (NSA) changed dramatically, increasing from 13,03,590 hectares to 15,72,298 hectares between 2013-14 and 2023-24, respectively. The land use pattern, as well as the cropping pattern, was changed; the area under jowar was sharply decreased and replaced by sugarcane, fodder crops, fruits, and vegetables.

Fig 1: Location of Study Area

Fig 1: Location of Study Area

Database and Methodology

The present study used data from published reports on the District Statistical Abstract of Ahmednagar for the years 2013-14 and 2023-24 to examine crop diversification [9] . To measure the extent of diversification in cropping patterns, the "Gibbs and Martin Index of Diversification (1962) [10] " has been employed. The formula used to compute this index is:

This formula, 'X,' denotes the percentage share of each crop in the total cultivated area. When a region grows only one crop exclusively, indicating monoculture, the index value is zero. In contrast, if the area is equally distributed among many crops, signifying maximum diversification, the index nears one.

Spatio-Temporal Trends in Crop Diversification

In 2023-24, the crop diversification index shows that Rahata (0.85), Kopargaon (0.83), Rahuri (0.83), Newasa (0.81), and Sangamner (0.75) have high diversity, while Karjat (0.40), Jamkhed (0.47), Shrigonda (0.47), Nagar (0.53), and Partner (0.54) recorded low diversity. It is mainly because jowar accounts for more than 45% of TCA; this means that other crops cover the remaining 55% of TCA. It indicates that crop specialization (jowar). The southern part of the study area experienced very low rainfall and limited irrigation facilities, which led to the support of jowar cultivation. According to the 2023-24 results, Karjat (0.87), Shrigonda (0.87), Nagar (0.86), Jamkhed (0.75), and Partner (0.83) exhibit high diversity. It reveals a sharp decline in jowar (17% of TCA) and an increase in sugarcane, cotton, fodder crops, and fruits and vegetables. This is due to the rise in the prices of sugarcane, fruit, and vegetables. On the other hand, Newasa (0.85), Shrirampur (0.84), Sangamner (0.83), Rahuri (0.83), and Kopargaon (0.80) recorded high crop diversity. The high spatio-temporal crop diversity has been observed at the tahsil level compared to the district, with crop diversification index values of 0.80 and 0.90, respectively, in 2013-14 and 2023-24. It reveals that overall diversity has changed significantly, but tahsil-level diversity has noted a drastic change, especially in the southern part (Table 3). The results indicate that Karjat (0.47), Shrigonda (0.40), Partner (0.29), Jamkhed (0.28), and Nagar (0.23) show an increase in index value, which is due to the rapid rise in the highvalue crops like sugarcane, cotton, fruits, and vegetables. The cropping pattern changed due to improved irrigation facilities, the adoption of drip irrigation, the use of highyielding variety seeds, mechanization, the application of chemical fertilizers, a high market price, and government policies.

Table 3. Crop Diversification during 2013-14 to 2023-24
Index of DiversificationLevel of Diversification2013-142023-24
0.66 to 1.00HighAkole, Sangamner, Kopargaon, Rahata, Shrirampur, Newasa, Shevgaon, Pathardi, RahuriKopargaon, Rahata, Akole, Sangamner, Shrirampur, Newasa, Rahuri, Shevgaon, Pathardi, Nagar, Parner, Shrigonda, Karjat, Jamkhed
0.33 to 0.66MediumNagar, Parner, Shrigonda, Karjat, Jamkhed-
0.00 to 0.33Low--

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Table 3
Crop Diversification during 2013-14 to 2023-24

Crop Diversification during 2013-14 to 2023-24

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Conclusion

The results reveal the spatial-temporal distribution of crop diversification; the northern tahsils, such as Akole, Sangamner, Kopargaon, Rahata, Shrirampur, Newasa, Shevgaon, Pathardi, and Rahuri, contained high diversification. On the other hand, the southern semi-arid tahsils, such as Nagar, Parner, Shrigonda, Karjat, and Jamkhed, showed moderate diversification in 2013-14. However, within decades, the picture has completely changed. Nagar, Parner, Shrigonda, Karjat, and Jamkhed tahsils also show high diversification in 2023-24. The increase in the irrigation facilities helps grow diverse, highvalue crops. The tahsils, which have a heavy reliance on a single crop, are shifting to produce a variety of cash crops. It also reveals a periodic shift in cropping patterns, particularly in southern tahsils. The southern tahsils were primarily dependent on single crop jowar, and the consistent fall rainfall increased the risk of crop failure, adversely affecting farmers' incomes. Therefore, farmers are shifting from jowar to various high-value crops, which ensure economic returns.

Figures and tables from the paper

Figure 1. Location of Study Area
Location of Study Area↗ Enlarge
Figure 1
Location of Study Area

Location of Study Area

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Original paper figureSource PDF · page 2 ↗
Figure 2. Crop Diversification 2023-24
Crop Diversification 2023-24↗ Enlarge
Figure 2
Crop Diversification 2023-24

Crop Diversification 2023-24

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Original paper figureSource PDF · page 4 ↗
Table 4. Crop Diversification Change during 2013-2014 to 2023-24
Sr. No.TehsilsIndex of Diversification—ChangeChange
2013-142023-24
1Akole0.700.810.11Increased
2Sangamner0.750.830.08Increased
3Kopargaon0.830.80-0.03Decreased
4Rahata0.850.82-0.03Decreased
5Shrirampur0.690.840.15Increased
6Newasa0.810.850.04Increased
7Shevgaon0.730.770.04Increased
8Pathardi0.710.870.16Increased
9Nagar0.530.860.23Increased
10Rahuri0.830.830.00No Change
11Parner0.540.830.29Increased
12Shrigonda0.470.870.40Increased
13Karjat0.400.870.47Increased
14Jamkhed0.470.750.28Increased
District0.800.900.10Increased

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Table 4
Crop Diversification Change during 2013-2014 to 2023-24

Crop Diversification Change during 2013-2014 to 2023-24

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Figure 3. Change in Crop Diversification during 2013-14 to 2023-24
Change in Crop Diversification during 2013-14 to 2023-24↗ Enlarge
Figure 3
Change in Crop Diversification during 2013-14 to 2023-24

Change in Crop Diversification during 2013-14 to 2023-24

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Original paper figureSource PDF · page 6 ↗
Table 1. Crop Diversification in 2013-14
TehsilsRiceWheatJowarBajaraGramTurMungSugarcaneCottonGroundnutSunflowerSoyabeanFodder CropsTotal FruitsTotal VegetablesTotal NSA𝚺𝐗² (𝚺𝐗)²𝚺𝐗² 𝟏− (𝚺𝐗)²
Kopargaon063863949515865254917653901263261818123415876017562010.170.83
Rahata0463939154200826100983236559201186521723921502505250.150.85
Akole780829134001409324301416839860287905342426211402355851760.300.70
Sangamner7442407978416553655574408617949143701474929385119989259902310.250.75
Shrirampur0283640757027488187011618386229268911736673211449931570.310.69
Newasa04229106361009881882688109304833048461325421167445424301069870.190.81
Rahuri049647155385435804501469316580215210284932004862194600250.170.83
Shevgaon0182532601230102676116669759310278722504913271264813970.270.73
Pathardi06013520544462297818290474023213339002843141571141220.290.71
Nagar05612862331070112136165344611674907204146330767120011791290840.470.53
Parner0106768240897837057327105621210450243098862252571227700.460.54
Shrigonda0283391534247484561561092066235145034144324461298140.530.47
Karjat01288263447833109120750736761074212020957016901075210.600.40
Jamkhed014551884679280622491185154443451102417902554686765800.530.47
District7882518965039111859771206751100482321290311046964742981658586341274083788513035900.200.80

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Table 1
Crop Diversification in 2013-14

Crop Diversification in 2013-14

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Table 2. Crop Diversification in 2023-24
TehsilsRiceWheatJowarBajaraGramTurMungSugarcaneCottonGroundnutSunflowerSoyabeanFodder CropsTotal FruitsTotal VegetablesTotal NSA𝚺𝐗² (𝚺𝐗)²𝚺𝐗² 𝟏− (𝚺𝐗)²
Kopargaon0851310941002532856181739716803060254951057653010022721800.200.80
Rahata0868934741183103859764182461422512025323165226534115906850.180.82
Akole1726054764491392320711101980012134419773525592716264732610.190.81
Sangamner16529048861452242376320645252783205852106730658424155371062770.170.83
Shrirampur087729082035950525453895754191215627109203599730639110.160.84
Newasa0178941549394054753968342305542979660701217920228674208151480210.150.85
Rahuri09806282737522812408201070717143517083001677233312278856750.170.83
Shevgaon0108043681299064679563426112174686664951537491341798591093940.230.77
Pathardi0850921922150471000313017314634193337717320298510762461118221362020.130.87
Nagar093902479262151039947546527113011212341171955616736659234571250870.140.86
Parner0519438877177137655217016099383411633501250726020580480061791060.130.83
Shrigonda0854417653120295479556218322644374451795332197249655500327441522210.130.87
Karjat0100813055670611213615330328151385452196324718728474182171339470.130.87
Jamkhed0205541006667649571762269268038712002227535234537222963280.250.75
District1727611902019367487716960286222731504142659153342104652091890682165781244424008815722980.100.90

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Crop Diversification in 2023-24

Crop Diversification in 2023-24

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References

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