Trajetória da produtividade da soja em função da variabilidade das chuvas no estado de Goiás
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2017-02-21
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Universidade Federal de Goiás
Resumo
The conception that environmental factors, especially the weather, are one of the main
constraints of the agricultural production development is in forced at the current days. In the
soybean crop, the climate variability can affect the productivity variability, since the weather
can have both positive and negative effects, according to the way it act. This ambiguity is
responsible for losses in production, which, in the other hand, means that more technologies
are being developed to minimize the negative climate impact, in order to mitigate losses and
obtain significant economic gains. The technification of the soybean crop was one of the
elements that allowed the expansion of the soy in the cerrado biome and, also provided the
development of the agricultural sector in the state of Goiás, which nowadays occupies the
fourth position in the national ranking of soybean production. However, even with the
increment of new technologies, rainfall represents a restrictive factor to obtain high
agricultural productivity, mainly because of the occurrence of climate variability in the state.
When measuring the importance of the soybean crop in the state and the increasing concern
with the loss of productivity due to the precipitation shunt, this following work had as general
goal to understand the relationship between variability of rainfall and the soybean yield in the
state of Goiás, between 1990 and 2008, attempting to answer the question: what is the
contribution of technological evolution in terms of mitigating the effects of precipitation
deviation on soybean yield in the state of Goiás? It is important to notice that several works
already proved the intrinsic relationship between these variables, precipitation and
productivity. In this study the main difference is the use of an econometric model that aims to
capture the technological advances and the increase in the use of agricultural inputs,
evaluating if these variables are actually mitigating the effects of rainfall and increasing
productivity over time.
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VALE, N. K. A. Trajetória da produtividade da soja em função da variabilidade das chuvas no estado de Goiás. 2017. 63 f. Dissertação (Mestrado em Agronegócio) - Universidade Federal de Goiás, Goiânia, 2017.