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STATISTICAL MODELING FOR FINGER MILLET CROP YIELD ESTIMATION USING AGRO METEOROLOGICAL INDICES
ISSN: 2277 - 7601
Publisher: author
STATISTICAL MODELING FOR FINGER MILLET CROP YIELD ESTIMATION USING AGRO METEOROLOGICAL INDICES
Indexed in
Agriculture and Food Sciences
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 3
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-0202
Publisher: Kiran Abasaheb More
International Journal Address (IAA):
IAA.ZONE/2277390417601
eISSN
:
2277 - 7601
VALID
ISSN Validator
Abstract
Weather is the most crucial factor which affects the growth and yield of finger millet crop. Crop weather models cannot be judged withindividual weather parameter alone. Therefore combinations of various weather parameters are taken into consideration to define the cropyield. The combinations of various weather parameters will make different agro meteorological indices. This study was carried to understandthe crop weather relationship for various finger millet varieties based on agro meteorological indices (such as growing degree days (GDD),heliothermal unit (HTU), photothermal unit (PTU) and temperature difference (TD)). The day wise data of all climatic factors were collectedfor six years from 2009-10 to 2014-15 from AICRP on dry land agricultural project, GKVK, UAS, Bengaluru. Crop weather models weredeveloped using indicator variables and the model was chosen based on F-value, P-value, Coefficient of determination, and standard er...
