On-farm evaluation of leaf color chart for need-based nitrogen management in irrigated transplanted rice in northwestern India

被引:0
|
作者
Jagdish K. Yadvinder-Singh
Jaswinder S. Bijay-Singh
Rajeev K. Ladha
V. Bains
机构
[1] Punjab Agricultural University,Department of Soils
[2] International Rice Research Institute—India Office,undefined
[3] International Rice Research Institute,undefined
来源
关键词
Agronomic efficiency of N; Leaf color chart; Partial factor productivity of N; Recovery efficiency of N; Rice; Rice cultivars;
D O I
暂无
中图分类号
学科分类号
摘要
Nitrogen use efficiency (NUE) in rice is low due to the inefficient management of fertilizer N by farmers. We evaluated a leaf color chart (LCC) as a simple tool for improving the time and rate of N fertilizer use in farmers’ fields for 4 years (2000–2003) in irrigated rice in northwestern India. Application of N fertilizer whenever leaf greenness was less than shade 4 on the LCC (the critical LCC value) produced rice grain yields on a par with blanket recommendation of applying 120 kg N ha−1 in three equal splits in different years, but it resulted in an average saving of 26% fertilizer N across villages and seasons. In most situations, there was no significant advantage of applying 20 kg N ha−1 as basal N at transplanting on grain yield and NUE of rice compared with no basal N. Use efficiencies of fertilizer N were higher when N was applied using LCC with a critical value of 4 than the recommended practice of applying 120 kg N ha−1 in three equal split doses on all sites and in all years. The LCC with a critical value of 4 for real-time N management can be efficiently used to increase NUE in all types of inbred rice cultivars presently popular with the farmers of the Indian Punjab. The LCC is a cheap and easy-to-use tool that allows real-time N management by farmers on a large area leading to improved fertilizer N use efficiency, and reduced risks associated with fertilizer N application.
引用
收藏
页码:167 / 176
页数:9
相关论文
共 31 条
  • [31] Leaf Color Chart (LCC)-Based Precision Nitrogen Management for Assessing Phenology, Agrometeorological Indices and Sustainable Yield of Hybrid Maize Genotypes under Temperate Climate
    Fayaz, Suhail
    Kanth, Raihana Habib
    Bhat, Tauseef Ahmad
    Valipour, Mohammad
    Iqbal, Rashid
    Munir, Awais
    Nazir, Aijaz
    Mir, Mohd Salim
    Ahanger, Shafat Ahmad
    Al-Ashkar, Ibrahim
    El Sabagh, Ayman
    AGRONOMY-BASEL, 2022, 12 (12):