ABSTRACT
This study investigates the statistical relationship between weather
variables and aspects of cotton yield production. The aim is to find the
optimum interval between data for statistical correlation with a number
of yield parameters. Two uniform field trials using the cotton cv. Giza
75 (Gossypium barbadense L.) were conducted at the Agricultural Research
Center, Giza, Egypt. Randomly chosen plants were used to record daily
numbers of flowers and bolls during the boll development stage (60 days).
During this period, daily air temperature, temperature magnitude,
evaporation, surface soil temperature, sunshine duration, humidity, and
wind speed were recorded. Data grouped into intervals of 2, 3, 4, 5, 6,
and 10 days were correlated with cotton production variables using
regression analysis. Evaporation was found to be the most important
climatic variable affecting flower and boll production, followed by
humidity and sunshine duration. The least important variables were
surface soil temperature at 0600 h and minimum temperature. The five-day
interval was found to be more adequately and sensibly related to yield
parameters.
