Academia Journal of Biological Series 3(8):
008-024, August 2020
DOI: 10.15413/jbs.2020.0101
ISSN 2315-7704
2020 Academia Publishing
Abstract
Studying the risk effects of climatic variables
on cotton production using different statistical
methodologies
Accepted July 27th 2020
Zakaria M. Sawan
Cotton Research Institute, Agricultural Research
Center, Ministry of Agriculture and Land
Reclamation, 9 Gamaa Street, 12619, Giza, Egypt
.
Cotton yield is a function of growth rates,
flower production rates and flower and boll
retention during the fruiting period.
Information on the relationship between climatic
factors and the cotton plant's ability to
produce and sustain flower buds, flowers and
bolls will allow one to model plant responses to
conditions that frequently occur in the field
and to predict developmental rate or the
formation of these organs. This study collects
information about the nature of the relationship
between various climatic factors and cotton boll
development and the 15-day period both prior to
and after initiation of individual bolls and
also provide information on the effect of
various climatic factors and soil moisture
status during the development stage on flower
and boll production in cotton. Evaporation,
sunshine duration, relative humidity, surface
soil temperature at 1800 h and maximum air
temperature, are the important climatic factors
that significantly affect flower and boll
production. Evaporation; minimum humidity and
sunshine duration were the most effective
climatic factors during preceding and succeeding
periods on boll production and retention. There
was a negative correlation between flower and
boll production and either evaporation or
sunshine duration, while that correlation with
minimum relative humidity was positive.
This is an open access article
published under the terms of the
Creative Commons Attribution
License, which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work is
properly cited.
Cite this article as:
Sawan ZM (2020). Studying the risk effects of
climatic variables on cotton production using
different statistical methodologies. J. Biol. Ser. 8(8): 008-024.