Estimating the relationship of sugarcane borer larvae and crop damage based on adult captures and climate variables

ABSTRACT:

Sugarcane borer Diatraea saccharalis (F.) is the primary sugarcane pest in Brazil. To estimate the relationship between larvae in sugarcane stalks and captures of male adults of D. saccharalis, we collected samples weekly: (1) adults with one delta trap with three virgin females and three female pupae and (2) larvae in 120 stalks per plot of 12.6 hectares (355 × 355 m). The study was conducted in two sites with five plots each, in the municipalities of Nova Ponte and Tupaciguara, Minas Gerais State, Brazil, from July 2016 to May 2017. Relationships between (1) males trapped per week and the number of larvae outside of stalks (LOS) were estimated and (2) we evaluated climate variables, namely average temperature, average relative air humidity, hours with relative air humidity below 30 %, rainfall and number of rainy days, and adults and larvae of D. saccharalis. We obtained generalized linear models for LOS in autumn and for larvae inside the stalks (LIS) in spring and autumn and trapped males in both sites. A significant and direct relationship between LIS and males trapped allows predicting larvae density based on captures of males. In addition, plant damage can be estimated based on accumulated captures of males. There was a negative relationship between hours of air humidity < 30 % and larvae outside of stalks. Densities of LIS can be estimated from male captures and by the humidity variables in the trapping week. Nevertheless, the models require validation in the field.

Keywords:
Diatraea saccharalis; sampling; virgin female traps; temperature; relative humidity

Introduction

Sugarcane borer Diatraea saccharalis (F.) is widely distributed in tropical and sub-tropical regions of the Americas (Long and Hensley, 1972; Joyce et al., 2014). In Brazil, it occurs in all regions and is considered one of the major pests of sugarcane crops (Dinardo-Miranda et al., 2013). The larvae cause the damage by opening galleries inside the cane stalks, causing the death of tillers in young plants, and reducing crop yield sharply. More recently, it has been estimated that for 1% damage in plants of 16 new sugarcane varieties, losses average 2.9 % in stalk yield and 3.3 % in sugar production (Dinardo-Miranda et al., 2013).

The parasitoid Cotesia flavipes (Cameron) has been used for decades in an attempt to reduce damages caused by the sugarcane borer in Brazil. Nevertheless, damages caused by sugarcane borer continue to increase. Then other control tactics are needed, including the application of insecticides to control newly hatched larvae that have not yet penetrated the stalk and the release of egg parasitoid Trichogramma galloi Zucchi. However, estimates of the adult population have become necessary for the success of these measures.

There are limitations to estimate the adult population of D. saccharalis. The lack of complete characterization of pheromone components and their mixture (Palacio-Cortés et al., 2010), as well as the genetic variability among populations (Lopes et al., 2014; Silva-Brandão et al., 2015) and the possible occurrence of cryptic species (Joyce et al., 2014), hinder the development of a synthetic product of high attractiveness to the insect pest. Other authors have reported difficulty in identifying components of the sex pheromone in other Diatraea species, D. considerata (Gries et al., 1998) and D. flavipenella (Kalinová et al., 2012). Therefore, traps with virgin females of D. saccharalis are the only method available to sample adults today. In addition, it is not easy to find newly hatched larvae of D. saccharalis before they enter the sugarcane stalks because they are small and generally occur at low densities. Sampling these phases is time-consuming and expensive (Schexnayder et al., 2001).

Adult population estimates from captures in sticky traps with virgin females of D. saccharalis have been regularly used (Nava et al., 2009). However, it is unknown if there is a relationship between the number of males captured and egg densities or neonate larvae, parameters that could support the measures to release T. galloi or apply insecticide, respectively. Likewise, it is unknown if there is a relationship between the population of males captured and the larvae inside the stalks, which could help the control by C. flavipes release. Thus, this study investigated if there is a relationship between male captures in traps with virgin females of D. saccharalis and young larvae outside of stalk, larvae inside the stalk, and stalk injuries as well as to predict larvae density and plant damage, considering male captures in traps and climate variables.

Materials and Methods

The assays were performed in two sugarcane crops in the state of Minas Gerais. In Nova Ponte (19°13’39.70” S, 47°49’23.59” W, altitude 948 m), the assay was installed in July 2016 in an area cultivated with the sugarcane variety CTC9, planted in Apr 2014 and harvested in May 2016. In Tupaciguara (18°51’01.71” S, 48°36’14.99” W, altitude 913 m), the assay started in July 2016 in an area cropped with the sugarcane variety RB965902, planted in Mar 2016 and harvested in May 2017. The climate in the regions is Aw type with warm and rainy periods from Oct to Mar and a dry season with mild temperatures from Apr to Sept.

Each site comprised five plots of 12.6 ha each (355 m × 355 m) with one trap in the plot center (five traps). In each trap (delta type, white, 10 cm height, 14 cm width, 20 cm depth, and coated internally with glue), a plastic cage (5 cm length, 3 cm diameter) was placed with three newly emerged virgin females (< 3 h) and three female pupae (Butt and Cantu, 1962). The traps were installed in a wooden rod, kept at the plant height, and raised according to their growth. Seven days after installation, males of D. saccharalis captured were counted, the trap was discarded and replaced by another one. This procedure occurred between July 2016 and May 2017 in both sites.

On the exact dates of trap evaluations, we conducted samplings to estimate larva and pupa densities of D. saccharalis in plants. We cut and evaluated 120 stalks in each plot, collecting randomly 12 continuous stalks in 10 points. We obtained: (1) the number of D. saccharalis larvae outside the stalk (LOS), (2) the number of larvae inside the stalk (LIS), and (3) the number of pupae inside the stalk (PIS). We evaluated LOS carefully to remove the leaves and count the neonate larvae. For the evaluation of LIS and PIS, each stalk was cut transversely with a pruning knife observing for larvae, pupae, and damage by associated microorganisms, especially fungi, which cause red rot. The assays were conducted until the crop allowed the evaluator to enter the plantation in May 2017. In this month, it was estimated the injury caused by borer in the stalks, counting the total internodes and those damaged by the sugarcane borer and fungi in the 120 stalks per plot. This study assumed that the larvae needed up to 14 days to enter the stalk; therefore, LOS was estimated in weeks zero+one+two while LIS in weeks three+four+five, based on captures in week zero.

The experiment was divided into four periods, as seasons: “winter” − July to Sept 2016; “spring” − Oct to Dec 2016; “summer” − Jan to Mar 2017, and “autumn” − Mar to May 2017. The regression analyses using generalized linear models and binomial distribution were used to evaluate the relationship between the number of D. saccharalis males trapped per week (MTW) as an independent variable, and the number of LIS as a dependent variable, for each period and for the entire year. We estimated the relationship between LOS and MTW, considering the total number of larvae in weeks zero+one+two after male captures and LIS in weeks three+four+five after male captures considering the insect life cycle at constant temperatures (Melo and Parra, 1988). In addition, the relationship between trapped males accumulated in the year (from July 2016 to May 2017) and the percentage and number of internodes damaged (PID, NID) were estimated in May 2017.

The regression analyses were tested to relate the number of MTW and LOS (dependent variables) with climate variables (independent variables) in the week of capturing males and prior to larvae sampling: (1) temperature average (T), (2) relative humidity (RH), (3) number of hours with relative humidity below 30 % (RH < 30 %), (4) rainfall (R), and (5) number of rainy days (NRD). Data on T and RH were obtained from a meteorological station in the municipality of Uberlandia, Minas Gerais State (18°55’01.46” S, 48°15’51.1” W, altitude 874 m). Daily precipitation data were obtained in a pluviometer located approximately 1 km away from the experiment sites. The variables T, RH, and RH < 30 % were calculated from the hourly data for each day during the period of exposure to the trap and prior to LOS sampling. In RH < 30 %, D. saccharalis eggs are not viable (Parra et al., 1999). Rainfall was obtained by total precipitation in the period of trap exposure and the rainy days.

The generalized linear model function of software R (R Core team, 2018) and the most appropriate probability distribution were used for each variable: Poisson distribution for the number of larvae, pupae, damaged internodes, and climate variables and Gamma distribution for the percentage of damaged internodes. The Akaike information criteria (AIC) was adopted to measure the adjustment quality and models with the lowest AIC were selected.

Results

In the Nova Ponte experiment, there was no significant correlation between MTW in week zero and total LOS in the trapping week (zero) and in the following two weeks (one and two) (Table 1). However, this relationship was significant in the Tupaciguara experiment. On the other hand, relations were significant and the occurrence of LIS in weeks three, four, and five after the capture depended on MTW (week zero) (Table 1).

Table 1
Generalized linear models adjusted for estimating larvae outside the stalks (LOS) (weeks zero+one+two), larvae inside the stalks (LIS) (weeks three+four+five) based on the captures of males of Diatraea saccharalis in traps (MTW) with virgin females in week zero; proportion (PID) and number of internodes damaged (NID) by larvae and fungi in May 2017 based on accumulated captures of males in the period of July 2016 to May 2017 in Nova Ponte and Tupaciguara, Minas Gerais State, Brazil.

Relationship between male captures and:	Test site	t test	z teste2	AIC3	Equation4
Larvae outside the stalks1	Nova Ponte	−	−1.206 ns	1858.3	−
	Tupaciguara	−	9.946***	1834.8	$\widehat{\text{Y}}=e^{0.896593+0.001683\text{***}X}$
Larvae inside the stalks	Nova Ponte	−	3.692***	11451	$\widehat{\text{Y}}=e^{0.8412696+0.0021671\text{***}X}$
	Tupaciguara	−	17.653***	1665.5	$\widehat{\text{Y}}=e^{0.558546+0.02767\text{***}X}$
Damaged internode proportion (%)	Nova Ponte	4.864***	-	–38.955	$\widehat{\text{Y}}=e^{-5.3559849+0.0026177\text{**}X}$
	Tupaciguara
Number of damaged internode (%)	Nova Ponte	-	22.42***	302.49	$\widehat{\text{Y}}=e^{2.621318+0.0024234\text{***}X}$
	Tupaciguara

• ¹
  Dependent variables
• ²
  ns and
• ^***
  not significant and significant at 0.1 %, respectively, for the t test (variable internodes damaged with Gamma distribution) and z test (variables larvae and damaged internodes with Poisson distribution)
• ³
  Alkaike Information Criterion: measurement of the quality of the adjusted regression models
• ⁴
  Adjusted model where Ŷ is the dependent variable larvae or damaged internodes and X is the independent variable males captured.

Although trap captures did not relate to the LOS densities of D. saccharalis in all seasons, there was a significant relationship between LOS and MTW in “autumn” in Nova Ponte and Tupaciguara (Table 2). The relationship between LIS and MTW of D. saccharalis was also significant in “spring” and “autumn” in both sites (Figures 2A, 2B, 2C and 2D). Thus, the results of both experiments allow estimating LIS based on MTW in “spring”, as well as LOS and LIS in “autumn” (Table 2).

Figure 1
Estimation of larvae of Diatraea saccharalis outside the stalks in weeks zero+one+two based on the capture of males in week zero in traps with virgin females during the “autumn” (Apr to May 2017) in Tupaciguara (A) and Nova Ponte (B), Minas Gerais State, Brazil.

Figure 2
Estimation of larvae inside the stalks in weeks three+four+five based on the capture of males of Diatraea saccharalis in traps with virgin females in week zero during the “spring” (Oct to Dec 2016) and “autumn” (Apr and May 2017) seasons in Tupaciguara (A and C) and Nova Ponte (B and D), Minas Gerais State, Brazil.

Table 2
Generalized linear models adjusted for estimating larvae outside the stalks (LOS) (weeks zero+one+two), larvae inside the stalks (LIS) (weeks three+four+five), in each season of the year based on the captures of males of Diatraea saccharalis (MTW) (week zero) in traps with virgin females in Nova Ponte and Tupaciguara, Minas Gerais State, Brazil.

Relationship between male captured and:	Season2	Test site	z teste3	AIC4	Equation5
Larvae outside the stalks1	“winter”	Nova Ponte	–1.681 ns	384.49	−
	“spring”		0.316 ns	171.20	−
	“summer”		–0.367 ns	659.59	−
	“autumn”		2.086*	241.82	$\widehat{\text{Y}}=e^{0.159703+0.013174\text{*}X}$
Larvae outside the stalks	“winter”	Tupaciguara	1.424 ns	39.749	−
	“spring”		0.882 ns	201.13	−
	“summer”		–4.80 ns	484.62	−
	“autumn”		6.212***	305.56	$\widehat{\text{Y}}=e^{2.067651+0.017252\text{***}X}$
Larvae inside the stalks	“winter”	Nova Ponte	–1.225 ns	50.475	−
	“spring”		6.119***	501.08	$\widehat{\text{Y}}=e^{1.162677+0.012162\text{**}X}$
	“summer”		–7.233 ns	4701.20	−
	“autumn”		3.718***	659.59	$\widehat{\text{Y}}=e^{1.242729+0.013505\text{***}X}$
Larvae inside the stalks	“winter”	Tupaciguara	0.000 ns	4.00	−
	“spring”		3.078**	195.95	$\widehat{\text{Y}}=e^{-0.265756+0.018431\text{**}X}$
	“summer”		1.192 ns	579.63	−
	“autumn”		7.353***	357.40	$\widehat{\text{Y}}=e^{0.864403+0.029568\text{**}X}$

• ¹
  Dependent variables
• ²
  “winter” (July to Sept 2016), “spring” (Oct to Dec 2016), “summer” (Jan to Mar 2017) and “autumn” (Apr and May 2017)
• ³
  ns
• ^{*, ** and ***}
  not significant, significant at 5 %, significant at 1 % and significant at 0.1 %, respectively, for the z test (variable larvae with Poisson distribution)
• ⁴
  Alkaike Information Criterion: measurement of the quality of the adjusted regression models
• ⁵
  Adjusted model where Ŷ is the dependent variable larvae and X is the independent variable males captured.

There was a positive relationship between damage in sugarcane stalks (PID, NID) and MTW accumulated, with a better adjustment to the model with the variable PID, as it presented lower AIC (Table 1). Despite the great data dispersion, the adjusted models allow predicting and estimating LOS based on the captures of males considering the results of “autumn” in both sites (Figures 1A and 1B). Likewise, considering the annual data of Tupaciguara, there was a significant relationship between MTW and LOS of D. saccharalis and the relationship between MTW and LIS in the year (Table 1), as well as in “spring” and “autumn”, in both sites (Figures 3A and 3B). The lowest AIC values were observed in the adjusted models of LOS in Nova Ponte in “autumn” (241.82) and LIS in Tupaciguara in “spring” (195.95) (Figures 1B and 2A).

Figure 3
Estimate of the proportion of internodes damaged (A), number of internodes damaged by sugarcane borer and fungi (B) in May 2017 based on accumulated captures of males in traps with virgin females in the period from July 2016 to May 2017 in Nova Ponte and Tupaciguara, Minas Gerais State, Brazil.

Considering the models with smaller AIC: the model for LOS in Nova Ponte in “autumn” ($\widehat{\text{Y}}=e^{0.159703+0.013174\text{*X}}$) the model for LIS in Tupaciguara in “spring” ($\widehat{\text{Y}}=e^{\text{0.265756+0.018431**X}}$), and the model for PID in both sites ($\widehat{\text{Y}}=e^{-\text{5.3559849}+\text{+0.0026177**X}}$), ten MTW generated the following estimates: 1.34 LOS, 0.92 LIS in 120 stalks, and 1.5 % of PID. Similarly, with 20 MTW, the LOS, LIS and PID were 1.5, 1.1, and 4.7 %.

For both sites and both sampling methods [one delta trap with three virgin females and three female pupae exposed for one week, and 120 sugarcane stalks (ten points in the area and 12 continuous stalks) in 12.6 hectares], the trap method was more effective to detect D. saccharalis. Adult capture was more effective than larval sampling. There were male captures in traps in 91.4 % of the samplings (192/210) in Nova Ponte, and 91.1 % (173/190) in Tupaciguara. LOS were found in 28.6 % of the samplings (60/210) in Nova Ponte and 24.7 % (47/190) in Tupaciguara. LIS were observed in 35.2 % (74/210) and 31.6 % (60/190) of samplings in Nova Ponte and Tupaciguara, respectively.

Considering the data from both sites, PID correlated positively with the total number of males captured from July 2016 to May 2017 (Table 1, Figure 3A). Thus, it is possible to estimate the damage caused by the sugarcane borer and fungi associated to MTW accumulated in the 11 months before.

Both sugarcane varieties, CTC9 and RB965902, are susceptible to larvae and fungi, showing that the differences observed in the internodes average damage (± standard error mean) from Nova Ponte (13.0 ± 1.9 %) and Tupaciguara (3.3 ± 0.8 %) are attributed to differences in D. saccharalis population size, notably larvae density. The densities of LOS and LIS were 6.1 ± 1.2 and 1.2 ± 0.2, and 1.2 ± 0.2 and 0.6 ± 0.1 in Nova Ponte and Tupaciguara, respectively.

The most significant number of male captures of D. saccharalis in Tupaciguara occurred in mid-Nov, in the second half of Jan, and in Mar and Apr 2017. In Nova Ponte, most captures occurred in Oct and Nov and Apr (Figure 4B). LOS were observed between Jan and May in Tupaciguara and between Jan and Mar in Nova Ponte. LIS showed higher densities from Feb to May in Tupaciguara and in Feb in Nova Ponte (Figure 4B). The most significant number of occurrences of larvae were registered in the warm and rainy period between Oct and May (Figures 4A and 4B).

Figure 4
Number of males of Diatraea saccharalis captured in five traps with virgin females per week (MTW), larvae outside the stalks (LOS), larvae inside the stalks (LIS) and pupae inside the stalks (PIS) in 120 sugarcane stalks, from July 2016 to Apr 2017, in Tupaciguara (A) and Nova Ponte (B), Minas Gerais State, Brazil.

All climate variables significantly affected MTW in both sites (Table 3). The variables RH, R, and NRD positively affected the captures; however, RH < 30 % had a negative effect. The adjusted models estimated increases of 4-5 % MTW for every 1 % increase in RH (Table 3). For RH, the AIC was lower in Tupaciguara (1581.40) than in Nova Ponte (3312.50), indicating a better adjustment for the first site. Thus, the model obtained in Tupaciguara allows estimating MTW based on RH. The T directly affected MTW in Tupaciguara, but an opposite effect in Nova Ponte (Table 3).

Table 3
Generalized linear models adjusted for estimating males of Diatraea saccharalis captured in traps (MTW) with virgin females, larvae outside the stalks (LOS) of sugarcane and climate variables: average temperature (T), hours with relative humidity of the air less than 30 % (RH < 30 %), relative humidity (RH), rainfall (R) and number of rainy days (NRD) in the week of exposure of the trap and prior to sampling of larvae in the Tupaciguara and Nova Ponte, Minas Gerais State, Brazil.

Climate variables1	Test site	z test2	AIC3	Equation4
Males of D. saccharalis
Average temperature	Tupaciguara	6.481***	2734.40	$\widehat{\text{Y}}=e^{\text{2.5454+0.0852***}X}$
Hours of relative humidity < 30 %		–29.03***	1281.00	$\widehat{\text{Y}}=e^{\text{4.984255-0.042703***}X}$
Relative humidity		32.21***	1581.40	$\widehat{\text{Y}}=e^{\text{1.582592+0.047554***}X}$
Rainfall		23.72***	2273.00	$\widehat{\text{Y}}=e^{\text{4.210521+0.008588***}X}$
Number of rainy days		24.49***	2140.40	$\widehat{\text{Y}}=e^{\text{3.991728+0.157084***}X}$
Average temperature	Nova Ponte	–3.547***	4927.70	$\widehat{\text{Y}}=e^{\text{5.852129}-0.035419\text{***}X}$
Hours of relative humidity < 30 %		–36.26***	2466.20	$\widehat{\text{Y}}=e^{\text{5.374710}-0.047642\text{***}X}$
Relative humidity		37.99***	3312.50	$\widehat{\text{Y}}=e^{\text{2.373828+0.041597***}X}$
Rainfall		8.81***	4866.60	$\widehat{\text{Y}}=e^{\text{4.9149805+0.0026908***}X}$
Number of rainy days		11.6***	4810.20	$\widehat{\text{Y}}=e^{\text{4.828561+0.0174672***}X}$
Larvae of D. saccharalis
Average temperature	Tupaciguara	–1.947 ns	349.39	−
Hours of relative humidity < 30 %		–5.35***	283.71	$\widehat{\text{Y}}=e^{\text{1.60731}-0.06305\text{***}X}$
Relative humidity		5.784***	314.60	$\widehat{\text{Y}}=e^{-1.8963+0.048\text{***}X}$
Rainfall		0.798 ns	352.58	−
Number of rainy days		2.230*	348.32	$\widehat{\text{Y}}=e^{0.86370+{0.07837}^{\star }X}$
Average temperature	Nova Ponte	–5.462***	569.81	$\widehat{\text{Y}}=e^{8.52515-{0.2787}^{\text{***}}X}$
Hours of relative humidity < 30 %		–5.259***	566.14	$\widehat{\text{Y}}=e^{2.207748-{0.019978}^{\text{***}}X}$
Relative humidity		–4.640***	578.61	$\widehat{\text{Y}}=e^{0.610148+{0.021879}^{\text{***}}X}$
Rainfall		–1.254 ns	599.29	−
Number of rainy days		6.475***	561.69	$\widehat{\text{Y}}=e^{1.43388+{0.18764}^{\text{***}}X}$

• ¹
  Independent variables
• ²
  ns,
• ^{* and ***}
  not significant, significant at 5 % and significant at 0.1 %, respectively, for the z test (with Poisson distribution)
• ³
  Akaike Information Criterion: measurement of the quality of the adjusted regression models
• ⁴
  Adjusted model where Ŷ is the dependent variable, moths captured per trap per week and X represent the independent variable.

The T had no influence on LOS in Tupaciguara. However, in Nova Ponte, the increase of T reduced LOS (Table 3). The variables RH < 30 % and RH had opposite effects in LOS. The first correlated negatively, while the second correlated positively with LOS (Table 3). Thus, greater RH or lower RH < 30 % favor the occurrence of LOS. As LIS had a specific microclimatic condition, this insect phase was not correlated with climate variables.

The variables R and NRD in the week of captures had a significant effect on MTW (Table 3). Thus, rainfall increased the capture of D. saccharalis. For LOS, R was not significant; however, LOS increased with NRD. In both sites, RH was important in the occurrence of LOS. There was an increase of LOS with the increase of RH and reduction in LOS with increasing RH < 30 % (Table 3).

Discussion

The use of traps with virgin females of D. saccharalis is recommended in the management of this pest. Nava et al. (2009) suggested the use of traps with two females, installed every 500 m, on the sugarcane crop perimeter to sample adults and thus start the release of egg parasitoids when the first males are captured.

The period between the larvae emergence until they enter the cane stalk varies from days, two to five days, to weeks, one to two weeks. If the larva penetrates the stalk after its first ecdysis, it spends approximately six days at 25 °C (Melo and Parra, 1988). However, if the larva enters the stalk only after its second ecdysis, it stays approximately nine days outside the stalk, considering the thermal requirements for the insect (Melo and Parra, 1988).

It may be challenging to relate larvae density with the damage that they cause, as the insect damage occurs over time and accumulated in the stalks. The relationship between larvae infestation in stalks and internodes damaged before the harvest depends on numerous and unpredictable factors (White et al., 2008), such as the host plant susceptibility to herbivory and, in the case of sugarcane, the fungi associated with the borer damage. In addition, the damage can vary from year to year and be dependent on agricultural practices (Pannuti et al., 2015).

With another Crambidae insect, Eureuma loftini (Dyar), Wilson et al. (2012) suggested an action threshold to insecticide applications of 20 males captured per week. Applying this control threshold suggested to the models obtained in our study (20 MTW), the result shows 1.5 LOS in 120 stalks in the first two weeks and 1.1 LIS in the following weeks (three+four+five) after the capture. Considering 20 MTW, we obtain 880 insects in 44 weeks (11 months) and an estimate of damage (PID) of 4.7 %.

Traps with three to four virgin females were used (Nava et al., 2009) to assist the decision of control of D. saccharalis. As male captures in traps occurred from July 2016 to May 2017, control measures are possibly needed throughout the year, which is impractical and economically unfeasible. Although D. saccharalis is an insect quite common and apparently abundant in sugarcane crops, the damage can vary considerably between the cultivars and be influenced by cultural practices. Thus, the control measures should focus on occurrence periods of LOS chemical control (Wilson et al., 2012; Wilson et al., 2017) and presence of LIS for biological control with C. flavipes (Dinardo-Miranda and Fracasso, 2013).

The use of traps with virgin females of D. saccharalis in sugarcane crops in Brazil can support pest management since it allows estimating LOS and LIS based on male captures, and the damage caused by the insect. Wilson et al. (2012) obtained a positive and direct relationship between captures of E. loftini in traps baited with synthetic pheromone and the sugarcane stalks with larvae. The authors found a relationship of 20 males of E. loftini per trap per week and stalk infestation of 5 %. We found similar results in this study, at 20 MTW (44 weeks) the estimation of PID was 4.7 %. Additionally, the increase in captures could be used as an indication to start the larvae sampling in the stalks (Wilson et al., 2012).

Although adults of D. saccharalis occurred throughout the year in both sites, the larvae were observed predominantly from Oct 2016 to May 2017, during the warm and rainy period of the year. Therefore, dry periods limited the oviposition or egg viability of this insect (Parra et al., 1999). The rainfall increases soil moisture, favoring plant development and indirectly LIS. However, air humidity affects D. saccharalis LOS (eggs, larvae and adults). Rainfall may have hindered the neonate larvae by falling or drowning. However, more rainy days in the week prior to sampling increases the number of LOS in sugarcane. Therefore, estimation of LOS should take into account the humidity conditions in the week prior to larvae sampling. Low RH average or many hours of RH < 30 % reduces the possibility of finding LOS even with male captures.

In Brazil, new control strategies of D. saccharalis in sugarcane have been adopted. In 2017, it was released the first genetically modified variety with an expression of Cry1Ab toxin from Bacillus thuringiensis. The variability in susceptibility of this insect population to this toxin requires proper management of insect resistance (Girón-Pérez et al., 2014). The effectiveness of egg parasitoid T. galloi and chemical control with insect growth regulators and diamides requires an adequate estimation of the population of D. saccharalis larvae and the action threshold for each strategy adopted. Thus, the models estimated in our study may contribute to the control of sugarcane borer. Nevertheless, these models should be validated in the field. The biological and chemical control of the D. saccharalis, eggs by T. galloi and LOS by insecticides should be measured with different levels of male captures under suitable climatic conditions for the insect, correlating with damaged internodes.

Acknowledgments

The authors wish to thank BioEnergética Aroeira (Tupaciguara, MG) and Usina Uberaba (Nova Ponte, MG) for allowing the essays in their sugarcane crops and Édimo Fernando Alves Moreira (Federal Institute of Education, Science and Technology of Triângulo Mineiro, Campus Uberaba) for his assistance in the statistical analysis.

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Edited by

Edited by: Alberto Soares Corrêa

Publication Dates

• Publication in this collection
  23 Mar 2022
• Date of issue
  2023

History

• Received
  29 Nov 2021
• Accepted
  23 Feb 2022