Relation between Early Season–Measured Agronomic Variables and Sugar Yield Responses to Nitrogen

• Published in: Agronomy journal Vol. 108; no. 2; pp. 794 - 804
• Main Authors: Kanke, Yumiko, Tubaña, Brenda, Dalen, Marilyn, Lofton, Joshua, Viator, Howard
• Format: Journal Article
• Language: English
• Published: The American Society of Agronomy, Inc 01.03.2016
• ISSN: 0002-1962; 1435-0645
• DOI: 10.2134/agronj2015.0037

Several studies have demonstrated the use of early‐season plant response to N as a basis for determining N fertilizer requirements in cereal crops. In sugarcane (Saccharum spp. hybrids) production, the relationship of early‐season growth and responses to N fertilization to sugar yield at harvest has not been pursued. The objective of this study was to evaluate and relate the early‐season response to N fertilization (RI) of select agronomic variables to RI of measured sugar yield at harvest of three sugarcane varieties (HoCP 96‐540, L 01‐283, and L 99‐226). A variety × N (0, 45, 90, and 135 kg N ha−1) trial was established at two LSU AgCenter research stations: the Sugar Research Station in St. Gabriel and the Iberia Research Station, Jeanerette, LA, from 2010 to 2012. The positive correlations between RIs of agronomic variables collected at 4 and 5 wk after nitrogen application (WKN) and RIs at harvest were considered notable with RIbiomass at 5 WKN obtaining the highest r value (RIsugar = 0.69 and RIcane = 0.68). Sugar and stalk yield increases due to N were also correlated to RIN% and RINuptake at 4 to 6 WKN. The findings of the present study demonstrated that RIs of agronomic variables measured early in the season were related with RI at harvest, suggesting the potential use of response to N early in the season as a basis for in‐season determination of sugarcane N rate requirements. Core Ideas Determining seasonal N requirement in sugarcane is essential. High spatial and temporal variability in sugar and stalk yield to applied N were observed. Agronomic variable at early season can be used to predict N response of sugar yield.