Abstract

BackgroundThe implementation of hybrid Bt cotton unique to India has been heralded as a grand success by government agencies, seed companies and other proponents, and yet yields have stagnated at low levels and production costs have risen 2.5–3-fold. The low-yield hybrid cotton system of India contributes thousands of farmer suicides to the annual national toll. Conceptual and methodological barriers have hindered bioeconomic analysis of the ecological and social sustainability of such cross-scale agro-ecological problems in time and geographic space, under global technology and climate change. As a paradigm shift, we use conceptually simple, parameter-sparse, theoretically based, mechanistic, weather-driven physiologically based demographic models (PBDMs) to deconstruct the bio-economics of the Indian cotton system.ResultsOur analysis of Indian hybrid cotton system explains some extant ecological and economic problems, and suggests a viable solution. Specifically, the model accurately captured the age-stage mass dynamics of rainfed and irrigated cotton growth/development and the interactions with the key pest pink bollworm across five south-central Indian states, and enabled identification of proximate bioeconomic factors responsible for low yield and their relationship to farmer suicides. The results are reinforced by analysis of Ministry of Agriculture annual state-level data. We explain why short-season, high-density non-GM cotton is a highly viable solution for Indian cotton farmers in rainfed and irrigated cotton areas of the five states, and possibly nationally. The transition from a theoretical bioeconomic construct to a real-world regional bioeconomic analysis proved seamless.ConclusionsThe hybrid long-season Bt technology for rainfed and irrigated cotton is unique to India, and is a value capture mechanism. This technology is suboptimal leading to stagnant yields, high input costs, increased insecticide use, and low farmer incomes that increase economic distress that is a proximate cause of cotton farmer suicides. The current GM Bt technology adds costs in rainfed cotton without commensurate increases in yield. Non-GM pure-line high-density short-season varieties could double rainfed cotton yield, reduce costs, decrease insecticide use, and help ameliorate suicides. The GM hybrid technology is inappropriate for incorporation in short-season high-density varieties.

Highlights

  • The implementation of hybrid Bt cotton unique to India has been heralded as a grand success by government agencies, seed companies and other proponents, and yet yields have stagnated at low levels and production costs have risen 2.5–3-fold

  • Exosomatic inputs occur in agriculture that may have little basis in long-term stability, and at the governmental level, the flow is complex and vexing [15]. (The economic analogies between natural and human economies are summarized in Additional file 1: S2.) We review the bioeconomic model of cotton used in our analysis

  • Agroecology of Indian cotton and pink bollworm (PBW) Using the analysis path illustrated in Fig. 4, we unpack the Indian cotton system and explore the bioeconomic links to cotton farmer suicides

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Summary

Introduction

The implementation of hybrid Bt cotton unique to India has been heralded as a grand success by government agencies, seed companies and other proponents, and yet yields have stagnated at low levels and production costs have risen 2.5–3-fold. This paper (a) extends those results, (b) reviews bioeconomic theory and models applicable to the analyses of genetically modified (GM) Bt hybrid cotton across south-central India, (c) uses simulation and Indian Government data. We first address the dual problems of modeling the complexity and the application of relevant bioeconomic theory, and apply our models to the analysis of the realworld problem of Bt hybrid cotton and farmer suicides in India. Modelling complexity and bioeconomic theory How to analyze the complexity and bio-economics of populations, species and their interactions as driven by weather in natural and agricultural ecosystems has been center stage for decades. In our analysis of the Indian cotton system, we take a holistic approach based on bioeconomic rules common to all species. Alternative approaches for the analyses of ecosystem complexity are reviewed in Additional file 1: S1

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