MODELING OF IN-SEASON WINTER WHEAT NITROGEN REQUIREMENTS USING PLANT REFLECTION INDICES

YEGÜL U., EMİNOĞLU M. B., TÜRKER U., ÇOLAK A., Koparan C.

ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, cilt.19, sa.11, ss.1975-1982, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 11
  • Basım Tarihi: 2020
  • Dergi Adı: ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Environment Index, Greenfile, Pollution Abstracts, Veterinary Science Database
  • Sayfa Sayıları: ss.1975-1982
  • Anahtar Kelimeler: fertilizing, precision agriculture, vegetation index, wheat, yield, USE EFFICIENCY, CHLOROPHYLL METER, RESPONSE INDEX, OPTICAL SENSOR, GRAIN-YIELD, REMOBILIZATION, PRODUCTIVITY, PREDICTION, MANAGEMENT, QUALITY
  • Ankara Üniversitesi Adresli: Evet

Özet

A significant reduction in nitrogen (N) losses from agricultural fields will make a positive impact on the environment. Managing nitrogen for the optimum application provides economic benefits as well as environmental protection. This study presents a model that was developed to determine the optimum ratio of N to yield based on N sensor indices in winter wheat. A quadratic polynomial model was used to characterize the relationship between N and yield for the optimum N rate. The N was applied to the Bezostaja and Ahmetaga wheat varieties at 0 kg N ha(-1), 80 kg N ha(-1), 120 kg N ha(-1), 160 kg N ha(-1) and 200 kg N ha(-1) ratios. The results showed that the most economical mean estimated N rate was 167.6 kg N ha(-1) for Bezostaja and 206 kg N ha(-1) for Ahmetaga.