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<p>This study investigates the prevalence and determinants of repeat breeding and infertility among small dairy farms in a district with intensive crossbred and traditional dairy farming systems in India. Data were collected from 2,254 animals and 579 farmers representing diverse herd compositions and management systems. Results revealed that repeat breeding affected 20.4% of animals, while infertility was observed in 44.7%, exceeding national averages. Species, breed type, age, milk yield, and farmer type were significant factors influencing reproductive outcomes. Crossbred cows (based on Holstein-Friesian, Jersey, and indigenous breeds) exhibited higher reproductive disorders than indigenous cattle breeds, while buffaloes recorded the highest infertility rates (62.5%). The consequences of reproductive inefficiencies include involuntary extended calving intervals, reduced lifetime milk yield, and hence an increased carbon footprint through increased methane emission intensity. Poor reproductive efficiency therefore impacts both farm profitability and environmental sustainability. The study emphasizes evidence-based reproductive management, digital herd monitoring, and farmer training as essential strategies for improving fertility and advancing climate-smart dairy practices in Tamil Nadu.</p>

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Reproductive challenges in Indian dairy farming: an analysis of repeat breeding and infertility in Tamil Nadu

  • 期刊论文

  • 发表日期：

    2026年5月20日

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  • Thanammal Ravichandran,
  • Garima Digdarshika,
  • Mizeck G. G. Chagunda,
  • Arunkumar Krishnamoorthy,
  • P. Shanthra,
  • Kiruthika Nallasamy,
  • Chitra Ramasamy,
  • Mohanamani Palanisamy

摘要

This study investigates the prevalence and determinants of repeat breeding and infertility among small dairy farms in a district with intensive crossbred and traditional dairy farming systems in India. Data were collected from 2,254 animals and 579 farmers representing diverse herd compositions and management systems. Results revealed that repeat breeding affected 20.4% of animals, while infertility was observed in 44.7%, exceeding national averages. Species, breed type, age, milk yield, and farmer type were significant factors influencing reproductive outcomes. Crossbred cows (based on Holstein-Friesian, Jersey, and indigenous breeds) exhibited higher reproductive disorders than indigenous cattle breeds, while buffaloes recorded the highest infertility rates (62.5%). The consequences of reproductive inefficiencies include involuntary extended calving intervals, reduced lifetime milk yield, and hence an increased carbon footprint through increased methane emission intensity. Poor reproductive efficiency therefore impacts both farm profitability and environmental sustainability. The study emphasizes evidence-based reproductive management, digital herd monitoring, and farmer training as essential strategies for improving fertility and advancing climate-smart dairy practices in Tamil Nadu.