1
Relation Between Early Season-Measured Agronomic Variables and Sugar Yield Responses to Nitrogen Yumiko Kanke 1 , Marilyn Dalen 1 , Brenda Tubana 1 , Josh Lofton 2 and Howard Viator 3 1 School of Plant, Environmental and Soil Science, Louisiana State University, Baton Rouge, LA 2 Oklahoma State University, Stillwater, OK 3 Iberia Research Station, LSU Ag Center, Jeanerette, LA Introduction Results The nitrogen (N) recommendation for sugarcane (Saccharum officinarum) is commonly refined based on crop age and soil texture in Louisiana production systems. However, this method can over- or underestimate sugarcane N rate requirements due to temporal and spatial variability. Several researchers have demonstrated the use of mid-season plant N response to refine N rate recommendation. However, the relationship of early- season growth and responses to N fertilization to stalk and sugar yield at harvest has not been pursued. Objective 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). Materials and Methods Two field experiments were conducted from 2010 to 2013 at two locations in Louisiana: St. Gabriel and Jeanerette. The soils from these locations belong to Mississippi Alluvial soils of Louisiana which are highly diverse in nature and generally fertile. Treatments included cane variety and N rate arranged in a randomized complete block design with four replicates. Three cane varieties with different canopy structure were selected for this study. Different N rates (0, 45, 90, and 135 kg N ha -1 ) were knifed-in in spring using urea ammonium nitrate liquid fertilizer (32-0-0). Dry biomass weight, N content (%), N uptake and tiller number were collected from 1 m 2 . Data were collected every week for four consecutive weeks from three weeks after N fertilization (WKN). For each of the agronomic variables, response index (RI) was computed using following equations. RI 45 = Agronomic variable at 45 kg N ha -1 plot/check plot RI 90 = Agronomic variable at 90 kg N ha -1 plot/check plot RI 135 = Agronomic variable at 135 kg N ha -1 plot/check plot where agronomic variable included sugar and stalk yield, dry biomass, number of tillers, N content, and N uptake. High variability in sugar and stalk yield were observed across variety, year and location (Fig. 1). Both yields showed distinct linear, quadratic, and cubic responses to N rates however, these relationships were not consistent across varieties. Spatial, temporal and varietal variability in RIs at harvest were also observed (Fig. 2). Sugarcane with high sugar yield was not always responsive to N (high yield but low RI such as 2011 in Jeanerette) and sugarcane that was responsive to N or higher RI did not always produce higher yield (2012 in St. Gabriel). These results highlights that it is essential to utilize in-season estimates of sugarcane response to added N to determine N fertilizer. In terms of early-season measure agronomic variables, there were disconnected patterns of RI (Data not presented). Among the agronomic variables, RI %N, and RI Nuptake maintained r values equal or higher than 0.45 across sampling times noting that on average, RI Nuptake had the highest correlation with RI sugar and RI cane . These findings suggest that RI Nuptake which is the product of biomass and N content can provide good information on the responsiveness of sugarcane to N fertilization as early as three weeks after N application. Conclusions Acknowledgements The authors wish to thank the following: the USDA-NIFA and American Sugar Cane League for the funding support; Allen Arceneaux, Gregory Williams, Joel Hebert, and the Sugar Research Station staff for the assistance provided. ‡ NS, not significant at α=0.05 level ¶ WKN, number of weeks after N fertilization € Twelve samples were treated as missing due to unforeseen incident during sample collection and processing Sugar and stalk yield response to N were highly variable across sites, variety, and year. Agronomic variables at mid- season were notably related with yields at harvest and this result suggests that response of these agronomic variables to applied N early in the season can be used as a basis for in-season determination of the potential increase in sugar yield due to N application. Table 1. Summary of simple linear regression between RI at harvest (sugar and stalk) and RI at early season agronomic variables. 0 5 10 15 20 0 45 90 135 Sugar Mg ha -1 0 5 10 15 20 0 45 90 135 Sugar Mg ha -1 0 2 4 6 8 10 12 14 16 18 20 0 45 90 135 Sugar Mg ha -1 N rate kg ha -1 0 20 40 60 80 100 120 140 0 45 90 135 Stalk Mg ha -1 St. Gabriel L 99-226 St. Gabriel L 01-283 St. Gabriel HoCP 96-540 Jeanerette L 99-226 0 20 40 60 80 100 120 140 0 45 90 135 Stalk Mg ha -1 2010) 2011) 2012) 2010) 2011) a b 0 20 40 60 80 100 120 140 0 45 90 135 Stalk Mg ha -1 N rate kg ha -1 2012) Figure 1. Sugar (a) and stalk (b) yield in 2010, 2011, and 2012 at different N rate for three sugarcane varieties in two locations, LA. Figure 2. Response Index (RI) in sugar yield in 2010, 2011, and 2012 for three sugarcane varieties in two locations, LA. 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 45 90 135 Response Index (RI sugar ) L 99-226_St.Gabriel L 01-283_St.Gabriel HoCP 96-540_St.Gabriel L 99-226_Jeanerette 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 45 90 135 Response Index (RI sugar ) 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 45 90 135 Response Index (RI sugar ) N rate kg ha -1 2010) 2011) 2012) Response Index Time n Mean Correlation Coefficient Sugar Yield Stalk Yield RI biomass 3WKN 72 1.14 0.49 0.49 4 WKN 60 € 1.15 0.53 0.55 5 WKN 72 1.22 0.69 0.68 6 WKN 72 1.28 0.44 0.48 RI tiller 3WKN 72 1.07 NS NS 4 WKN 60 € 1.11 0.50 0.50 5 WKN 72 1.10 0.46 0.44 6 WKN 72 1.16 0.48 0.48 RI %N 3WKN 72 1.09 0.47 0.45 4 WKN 60 € 1.15 0.57 0.55 5 WKN 72 1.10 0.53 0.51 6 WKN 60 € 1.16 0.70 0.69 RI Nuptake 3WKN 72 1.24 0.55 0.50 4 WKN 72 1.37 0.47 0.51 5 WKN 72 1.45 0.64 0.62 6 WKN 60 € 1.53 0.71 0.73

Relation Between Early Season-Measured Agronomic …can over- or underestimate sugarcane N rate requirements due to temporal and spatial variability. Several researchers have demonstrated

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Page 1: Relation Between Early Season-Measured Agronomic …can over- or underestimate sugarcane N rate requirements due to temporal and spatial variability. Several researchers have demonstrated

Relation Between Early Season-Measured Agronomic Variables and Sugar Yield Responses to Nitrogen

Yumiko Kanke1, Marilyn Dalen1, Brenda Tubana1, Josh Lofton 2 and Howard Viator3

1 School of Plant, Environmental and Soil Science, Louisiana State University, Baton Rouge, LA 2 Oklahoma State University, Stillwater, OK

3Iberia Research Station, LSU Ag Center, Jeanerette, LA

Introduction Results The nitrogen (N) recommendation for sugarcane (Saccharum officinarum) is commonly refined based on crop age and soil texture in Louisiana production systems. However, this method can over- or underestimate sugarcane N rate requirements due to temporal and spatial variability. Several researchers have demonstrated the use of mid-season plant N response to refine N rate recommendation. However, the relationship of early-season growth and responses to N fertilization to stalk and sugar yield at harvest has not been pursued.

Objective 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).

Materials and Methods Two field experiments were conducted from 2010 to 2013 at two locations in Louisiana: St. Gabriel and Jeanerette. The soils from these locations belong to Mississippi Alluvial soils of Louisiana which are highly diverse in nature and generally fertile. Treatments included cane variety and N rate arranged in a randomized complete block design with four replicates. Three cane varieties with different canopy structure were selected for this study. Different N rates (0, 45, 90, and 135 kg N ha-1) were knifed-in in spring using urea ammonium nitrate liquid fertilizer (32-0-0). Dry biomass weight, N content (%), N uptake and tiller number were collected from 1 m2. Data were collected every week for four consecutive weeks from three weeks after N fertilization (WKN). For each of the agronomic variables, response index (RI) was computed using following equations.

RI45= Agronomic variable at 45 kg N ha-1 plot/check plot RI90= Agronomic variable at 90 kg N ha-1 plot/check plot

RI135= Agronomic variable at 135 kg N ha-1 plot/check plot

where agronomic variable included sugar and stalk yield, dry biomass, number of tillers, N content, and N uptake.

High variability in sugar and stalk yield were observed across variety, year and location (Fig. 1). Both yields showed distinct linear, quadratic, and cubic responses to N rates however, these relationships were not consistent across varieties. Spatial, temporal and varietal variability in RIs at harvest were also observed (Fig. 2). Sugarcane with high sugar yield was not always responsive to N (high yield but low RI such as 2011 in Jeanerette) and sugarcane that was responsive to N or higher RI did not always produce higher yield (2012 in St. Gabriel). These results highlights that it is essential to utilize in-season estimates of sugarcane response to added N to determine N fertilizer. In terms of early-season measure agronomic variables, there were disconnected patterns of RI (Data not presented). Among the agronomic variables, RI%N, and RINuptake maintained r values equal or higher than 0.45 across sampling times noting that on average, RINuptake had the highest correlation with RIsugar and RIcane. These findings suggest that RINuptake which is the product of biomass and N content can provide good information on the responsiveness of sugarcane to N fertilization as early as three weeks after N application.

Conclusions Acknowledgements

The authors wish to thank the following: the USDA-NIFA and American Sugar Cane League for the funding support; Allen Arceneaux, Gregory Williams, Joel Hebert, and the Sugar Research Station staff for the assistance provided.

‡ NS, not significant at α=0.05 level ¶ WKN, number of weeks after N fertilization € Twelve samples were treated as missing due to unforeseen incident during sample collection and processing

Sugar and stalk yield response to N were highly variable across sites, variety, and year. Agronomic variables at mid-season were notably related with yields at harvest and this result suggests that response of these agronomic variables to applied N early in the season can be used as a basis for in-season determination of the potential increase in sugar yield due to N application.

Table 1. Summary of simple linear regression between RI at harvest (sugar and stalk) and RI at early season agronomic variables.

0

5

10

15

20

0 45 90 135

Su

ga

r M

g h

a-1

0

5

10

15

20

0 45 90 135

Su

ga

r M

g h

a-1

0

2

4

6

8

10

12

14

16

18

20

0 45 90 135

Su

ga

r M

g h

a-1

N rate kg ha-1

0

20

40

60

80

100

120

140

0 45 90 135

Sta

lk M

g h

a-1

St. Gabriel L 99-226

St. Gabriel L 01-283

St. Gabriel HoCP 96-540

Jeanerette L 99-226

0

20

40

60

80

100

120

140

0 45 90 135

Sta

lk M

g h

a-1

2010)

2011)

2012)

2010)

2011)

a b

0

20

40

60

80

100

120

140

0 45 90 135

Sta

lk M

g h

a-1

N rate kg ha-1

2012)

Figure 1. Sugar (a) and stalk (b) yield in 2010, 2011, and 2012 at different N rate for three sugarcane varieties in two locations, LA.

Figure 2. Response Index (RI) in sugar yield in 2010, 2011, and 2012 for three sugarcane varieties in two locations, LA.

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

45 90 135

Res

po

nse

In

dex

(R

I su

ga

r)

L 99-226_St.Gabriel

L 01-283_St.Gabriel

HoCP 96-540_St.Gabriel

L 99-226_Jeanerette

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

45 90 135

Res

po

nse

In

dex

(R

I su

ga

r)

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

45 90 135

Res

po

nse

In

dex

(R

I su

ga

r)

N rate kg ha-1

2010)

2011)

2012)

Response Index

Time n Mean Correlation Coefficient

Sugar Yield Stalk Yield

RIbiomass 3WKN¶ 72 1.14 0.49 0.49

4 WKN 60 € 1.15 0.53 0.55

5 WKN 72 1.22 0.69 0.68

6 WKN 72 1.28 0.44 0.48

RItiller 3WKN 72 1.07 NS NS

4 WKN 60 € 1.11 0.50 0.50

5 WKN 72 1.10 0.46 0.44

6 WKN 72 1.16 0.48 0.48

RI%N 3WKN 72 1.09 0.47 0.45

4 WKN 60 € 1.15 0.57 0.55

5 WKN 72 1.10 0.53 0.51

6 WKN 60 € 1.16 0.70 0.69

RINuptake 3WKN 72 1.24 0.55 0.50

4 WKN 72 1.37 0.47 0.51

5 WKN 72 1.45 0.64 0.62

6 WKN 60 € 1.53 0.71 0.73