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Evaluation of Resistance in Soybean Varieties to Rotylenchulus reniformis in Louisiana Fields Cover

Evaluation of Resistance in Soybean Varieties to Rotylenchulus reniformis in Louisiana Fields

Open Access
|Dec 2025

Full Article

Soybean (Glycine max (L.) Merrill) is among the most economically important crops globally (FAO, 2023). The United States ranks among the top 10 soybean-producing countries globally. Several states, including Louisiana, contribute substantially to the overall soybean output (USDA/NASS, 2024a, 2024b). Soybean plays a significant part in the region's agricultural industry. However, numerous soybean production challenges, including extreme weather events, insect pests, diseases, and plant-parasitic nematodes, pose a significant threat to production (Roth et al., 2020).

The reniform nematode (Rotylenchulus reniformis) is the major problematic species within the genus Rotylenchulus in the United States (Robinson et al., 1997; Robinson, 2008). It was first observed in the southern United States in 1940 in a cotton field in Randolph County, Georgia, and was reported in Louisiana cotton production by 1941 (Smith and Taylor, 1941). Since its discovery, reniform nematode has become one of the most economically important and predominant plant-parasitic nematodes throughout the southern soybean producing states, including Louisiana (Overstreet and McGawley, 1998; Allen et al., 2021). Its ability to persist in soil for multiple years and high reproduction rate have contributed to the reniform nematode becoming a persistent threat to soybean, cotton, and sweetpotato in the region (Robbins et al., 1994b; Westphal and Smart, 2003; Koenning et al., 2004; Faske et al., 2024). Various management strategies for reniform nematode have been proposed to maintain nematode densities in soil below the economic threshold. In Louisiana, soybean fields are generally at risk of damage when soil population densities of reniform nematode exceed 2,000 nematodes per 500 cm3 of soil. Proposed management practices in Louisiana include the use of nematicides, crop rotation with a non-host, such as corn or grain sorghum, and the use of resistant varieties (Overstreet et al., 2014; Overstreet, 2015). When available, the use of resistant varieties is often the preferred management option to suppress nematode population density in soil, limit yield losses, and maintain economic profitability (Westphal and Scott, 2005). Some soybean varieties, which are resistant to reniform nematode, have been identified in previous studies, including ‘Forrest’, ‘Hartwig’, Pioneer 94B45, UAP Mid-South Dyna-Gro 3682, and Deltapine Seed DP 7375 RR (Robbins et al., 2001, 2002). In these studies, the varieties ‘Forrest’ and ‘Hartwig’ have been used as standard checks in resistance screening trials. The susceptibility of commercially planted soybean varieties to reniform nematode is largely unknown in Louisiana; however, preliminary field trials utilizing 21 commonly planted commercial varieties demonstrated high susceptibility among all varieties tested (Watson and Price, 2022). New reniform nematode-resistant soybean varieties have been developed by the University of Missouri (Chen et al., 2023, 2024a, 2024b); however, the utility of these new varieties to reduce reniform nematode population development in a field setting is also unknown. This study aimed to evaluate the reniform nematode population development on locally planted soybean varieties and new varieties reported to have resistance, as well as their corresponding yield.

Materials and Methods
Site descriptions

The first field was at the LSU AgCenter Northeast Research Station (NERS) in St. Joseph, Louisiana, United States (31.943014, −91.226881). The soil in the site is bruin silt loam (49% sand, 42% silt, 9% clay; 0.8% organic matter; 5.8 pH; 4.8 meq/100 g cation exchange capacity). The NERS field has a history of severe infestation with reniform nematode and moderate infestation with southern root-knot nematode (Meloidogyne incognita). The second field was located at the LSU AgCenter Macon Ridge Research Station (MRRS) in Winnsboro, Louisiana, United States (32.137166, −91.697141). The site's soil is gigger silt loam (35% sand, 48% silt, 17% clay; 1.3% organic matter; 5.3 pH; 6.3 meq/100 g cation exchange capacity). The MRRS field has a history of severe infestation with the reniform nematode. Both fields were planted with cotton the year before planting the soybean trials and followed Louisiana's commercial production practices concerning the application of fungicides, insecticides, fertilization, and irrigation.

Experimental design and measurements

In both NERS and MRRS fields, the experimental design was a randomized complete block design with five replicate plots of each variety. Top-selling soybean varieties commonly grown in Louisiana were selected for evaluation. In 2022, 12 soybean varieties were evaluated, whereas in 2023, only 10 soybean varieties were included in the experiment due to seed availability (Table 1). In 2022, the trials were planted on 17 May 2022 at MRRS and 19 May 2022 at NERS. In 2023, the trials were planted on 18 May 2023 at NERS and 23 May 2023 at MRRS in a separate portion of the field from the previous year. At the NERS field, plots were four rows wide on 96.5 cm row spacing and were 10.7 m long. At the MRRS, plots were four rows wide on 101.6 cm row spacing and were 10.7 m long. The soybean seeding rate at both fields was 120,000 seeds/ha. In the 2022 field trial, AgLogic 15GG (active ingredient, aldicarb) was included in the experiment as a sub-plot treatment to evaluate the performance of soybean varieties with and without the presence of nematode pressure. The nematicide was applied in-furrow to two of the four treatment rows as granules at a rate of 16.8 kg/ha at the time of planting.

Table 1:

Soybean varieties evaluated in two Rotylenchulus reniformis-infested fields in Louisiana in 2022 and 2023.

Soybean varieties
20222023
Bayer AG48XF2Bayer AG48XF0
Dyna-Gro S48XT40Bayer AG48XF2
Pioneer P46A86XBayer AG48X9
Progeny P4444RXSGreat Heart Seed GT-4677XS
Progeny P5252RXLocal Seed Company LS5009XS
University of Missouri S16-5503GTPioneer P54A54X
University of Missouri S16-5540RUniversity of Missouri S16-5503GT
University of Missouri S16-16814RUniversity of Missouri S16-5540R
University of Missouri S16-16641RUniversity of Missouri S16-16814R
University of Missouri S11-20195RUniversity of Missouri S16-16641R
WinField United Seed 48-D03
WinField United Seed 46-D09

Stand count (number of plants per hectare) was measured in each subplot at 14 and 28 days after planting (DAP) for each field. Four subsections measuring 1.52 m were randomly selected during each measurement, and the number of plants within a row was counted in each subsection. Reniform nematode population densities in soil were evaluated at planting, mid-season (56 DAP), and harvest in sub-plots from each field. Twelve soil cores at a depth of 20–25 cm and 2.5 cm in diameter were collected randomly from each sub-plot during each sampling date. During the mid-season and at harvest soil sampling, the soil cores were obtained next to the crop stem (≈5 cm). The soil cores from each plot were mixed in a plastic bucket and stored in a plastic bag at 12°C for approximately 14 days before processing. The nematodes were extracted from a 250 cm3 soil sub-sample using a semi-automated elutriator and sucrose centrifugal flotation method (Jenkins, 1964; Byrd et al., 1976). Nematodes were collected over a 25 μm sieve. The nematodes recovered were transferred in water into 20 mL plastic vials and stored at 4°C before quantification under a compound microscope. The data are presented as the number of nematodes per 500 cm3 of soil. At the end of the growing season, soybeans were harvested with a two-row combine when the seed moisture was approximately 13% in both fields for all years (2022, 2023). Yield measurements for each field were taken and recorded in kilograms per hectare corrected to a moisture content of 13%.

Statistical analysis

Data analysis and fitting of the models were performed using a written R script run in the RStudio software version 4.3.2 (R Foundation for Statistical Computing Platform). In 2022, data from each field were analyzed using a two-way analysis of variance (ANOVA) with soybean variety and nematicide as factors. When there was no interaction effect among factors, each factor was analyzed separately as a one-way ANOVA. In 2023 (no nematicide sub-plot treatment), a one-way ANOVA test was run to analyze the data for each field. Non-parametric tests, Mann–Whitney U-test and Kruskal–Wallis test, were performed to analyze M. incognita data for 2022 and 2023, respectively. The Fisher's least significant difference (LSD) test was used to examine treatment means differences (P < 0.05).

Results
2022 soybean growing season

At the NERS field in 2022, the reniform nematode soil population densities averaged 2,048–4,843 nematodes per 500 cm3 of soil at the time of planting (Table 2). By mid-season, differences in reniform nematode soil population densities were observed among soybean varieties tested. Field plots planted with the resistant University of Missouri soybean varieties showed reduced reniform nematode soil population densities during the mid-season sampling relative to field plots planted with the other commercially available soybean varieties. No differences in reniform nematode soil population densities were observed between plots treated with AgLogic 15GG and non-treated plots at mid-season. At harvest, differences in final reniform nematode soil population densities were observed. The field plots planted with the resistant University of Missouri soybean varieties continued to maintain lower reniform nematode soil population densities, resulting in a 79% nematode reduction relative to field plots planted with other soybean varieties. The reniform nematode soil population densities did not differ between field plots treated with AgLogic 15GG and non-treated plots at the end of the growing season. The southern root-knot nematode was undetectable in field plots at the time of planting. By mid-season, the southern root-knot nematode was detectable; however, no differences in root-knot nematode soil population densities were observed among the varieties or nematicide treatments. Similarly, at harvest, no differences in southern root-knot nematode soil population densities were observed among the tested varieties or nematicide treatments. Differences in stand count were observed among certain varieties at each assessment date (Table 3). At 14 DAP, Bayer AG48XF2, Dyna-Gro S48XT40, Pioneer P46A86X, Progeny P5252RX, University of Missouri S16-16641R, and WinField United Seed 46-D09 had significantly more plants per hectare than Progeny P4444RXS, University of Missouri S16-5503GT, University of Missouri S16-5540R, University of Missouri S16-16814R, and University of Missouri S11-2019R. At 28 DAP, Bayer AG48XF2, Pioneer P46A86X, and University of Missouri S16-16641R continued to maintain the greatest density of plants per hectare, whereas Progeny P444RXS, University of Missouri S16-5503GT, and University of Missouri S11-20195R had significantly fewer plants per hectare. Nematicide application did not influence plant establishment at either measurement date. Differences in yield were observed among tested varieties, with Pioneer P46A86X, University of Missouri S16-5503GT, University of Missouri S16-5540R, and University of Missouri S11-20195R providing significantly higher yields than Progeny P4444RXS, Progeny P5252RX, and University of Missouri S16-16641R. Nematicide application did not affect the yield of the tested varieties.

Table 2:

Influence of soybean variety and nematicide on Rotylenchulus reniformis and Meloidogyne incognita soil population densities throughout the growing season at the NERS field in 2022.

FactorLevelR. reniformis/500 cm3 soilM. incognita/500 cm3 soil

At plantMid-seasonAt harvestAt plantMid-seasonAt harvest
VarietyBayer AG48XF23,018 a19,712 ab3,352 ab080 a200 a
Dyna-Gro S48XT404,843 a21,474 a3,376 ab00 a88 a
Pioneer P46A86X3,392 a19,512 ab4,296 a00 a96 a
Progeny P4444RXS4,008 a13,424 b2,808 b016 a136 a
Progeny P5252RX2,912 a20,320 ab2,204 bc0112 a72 a
University of Missouri S16-5503GT4,080 a3,792 c512 d00 a112 a
University of Missouri S16-5540R3,991 a2,864 c560 d00 a192 a
University of Missouri S16-16814R2,784 a1,904 c568 d00 a136 a
University of Missouri S16-16641R3,167 a2,160 c736 d032 a256 a
University of Missouri S11-20195R3,516 a3,072 c1,056 cd048 a256 a
WinField United Seed 48-D032,612 a17,498 ab3,296 ab00 a104 a
WinField United Seed 46-D092,048 a16,064 ab3,040 ab00 a120 a

NematicideNone3,525 a10,620 a2,246 a029 a175 a
AgLogic 15GG3,203 a13,013 a2,055 a019 a120 a

P-valuesVariety0.595<0.001<0.001-0.2740.583
Nematicide0.5070.1170.509-0.9740.070
Interaction0.9920.5340.184-0.2500.904

For each factor, values with common letters within a column do not differ significantly (P-value >0.05).

NERS, Northeast Research Station.

Table 3:

Influence of soybean variety on stand count and yield at the NERS field in 2022.

FactorLevelStand count (plants/ha)
14 DAP28 DAPYield (kg/ha)
VarietyBayer AG48XF2318,837 a287,225 a3,968 b–d
Dyna-Gro S48XT40318,158 a235,560 cd4,035 b–d
Pioneer P46A86X311,021 ab282,127 ab4,237 ab
Progeny P4444RXS262,072 c215,505 d3,833 d
Progeny P5252RX305,582 ab247,797 b–d3,766 d
University of Missouri S16-5503GT207,346 d168,597 e4,506 a
University of Missouri S16-5540R269,211 c234,199 cd4,371 a
University of Missouri S16-16814R268,870 c239,978 cd4,035 b–d
University of Missouri S16-16641R311,360 ab256,295 a–c3,766 d
University of Missouri S11-20195R173,354 e143,103 e4,170 a–c
WinField United Seed 48-D03285,186 bc242,697 cd4,035 b–d
WinField United Seed 46-D09309,660 ab224,683 cd3,901 cd

NematicideNone279,577 a233,519 a4,035 a
AgLogic 15GG277,200 a229,439 a4,035 a

P-valuesVariety<0.001<0.001<0.001
Nematicide0.6820.5760.984
Interaction0.0790.9990.608

For each factor, values with common letters within a column do not differ significantly (P-value >0.05).

DAP, days after planting; NERS, Northeast Research Station.

At the MRRS field in 2022, reniform nematode soil population densities averaged 17,624–41,457 nematodes per 500 cm3 of soil at the time of planting (Table 4). By mid-season, differences in reniform nematode soil population densities were observed among the varieties tested. In the field plots planted with the resistant University of Missouri soybean varieties, reniform nematode soil population densities declined relative to the field plots planted with other soybean varieties. No differences were observed in reniform nematode soil population densities between the plots treated with AgLogic 15GG and non-treated plots at mid-season sampling. At harvest, differences in reniform nematode soil population densities were observed among the tested varieties. The field plots planted with the resistant University of Missouri soybean varieties continued to suppress reniform nematode soil population densities, resulting in a 67% reduction in nematode densities relative to field plots planted with other commercially available soybean varieties. No differences in final reniform nematode soil population densities were observed between plots treated with AgLogic 15GG and non-treated plots. Differences in stand count were observed among certain varieties at each assessment date (Table 5). At 14 DAP, Bayer AG48XF2 and Dyna-Gro S48XT40 had significantly more plants per hectare than Progeny P4444RXS, University of Missouri S16-5503GT, University of Missouri S11-20195R, and WinField United Seed 48-D03. At 28 DAP, Bayer AG48XF2, Dyna-Gro S48XT40, Pioneer P46A86X, University of Missouri S16-5540R, University of Missouri S16-16641R, and WinField United Seed 46-D09 had a greater density of plants per hectare than Progeny P4444RXS, University of Missouri S16-5503GT, and University of Missouri S11-20195R. Application of AgLogic 15GG reduced plant establishment by 9.6% and 14.6% during the 14 DAP and 28 DAP measurements, respectively. Differences in yield were observed among tested varieties, with University of Missouri S16-5503GT, University of Missouri S16-16641R, and University of Missouri S11-2019R providing significantly higher yields than Bayer AG48XF2, Dyna-Gro S48XT40, Pioneer P46A86X, Progeny P4444RXS, Progeny P5252RX, University of Missouri S16-16814R, and WinField United Seed 46-D09. No differences in yield were observed between plots treated with AgLogic 15GG and plots without nematicide treatment.

Table 4:

Influence of soybean variety and nematicide on Rotylenchulus reniformis soil population densities throughout the growing season at the MRRS field in 2022.

FactorLevelR. reniformis/500 cm3 soil
At plantMid-seasonAt harvest
VarietyBayer AG48XF228,688 a14,920 ab4,824 bc
Dyna-Gro S48XT4020,192 a12,712 a–c3,248 bc
Pioneer P46A86X17,624 a17,032 a8,288 a–c
Progeny P4444RXS22,454 a9,712 bc13,032 a
Progeny P5252RX30,156 a15,360 ab10,440 ab
University of Missouri S16-5503GT41,457 a11,240 bc3,992 bc
University of Missouri S16-5540R25,283 a10,344 bc3,264 bc
University of Missouri S16-16814R25,606 a8,648 c3,464 bc
University of Missouri S16-16641R31,557 a9,136 c2,456 c
University of Missouri S11-20195R26,587 a11,040 bc2,200 c
WinField United Seed 48-D0321,256 a18,352 a12,992 a
WinField United Seed 46-D0919,100 a10,608 bc12,608 a

NematicideNone28,294 a12,685 a7,528 a
AgLogic 15GG23,366 a12,165 a5,940 a

P-valuesVariety0.0840.0090.005
Nematicide0.0960.6610.308
Interaction0.5270.8890.762

For each factor, values with common letters within a column do not differ significantly (P-value >0.05).

MRRS, Macon Ridge Research Station.

Table 5:

Influence of soybean variety and nematicide on stand count and yield at the MRRS field in 2022.

FactorLevelStand count (plants/ha)
14 DAP28 DAPYield (kg/ha)
VarietyBayer AG48XF2211,512 a216,355 a–c2,488 de
Dyna-Gro S48XT40213,449 a221,522 a2,825 c
Pioneer P46A86X190,199 ab218,938 ab2,287 e
Progeny P4444RXS173,730 c171,147 e2,421 e
Progeny P5252RX200,531 ab190,520 de2,488 de
University of Missouri S16-5503GT135,302 d135,302 f3,161 ab
University of Missouri S16-5540R198,272 ab212,802 a–d2,892 bc
University of Missouri S16-16814R198,272 ab196,980 b–d2,757 cd
University of Missouri S16-16641R209,251 ab217,645 ab3,295 a
University of Missouri S11-20195R136,595 d125,616 f3,161 ab
WinField United Seed 48-D03187,614 bc192,781 c–e2,959 bc
WinField United Seed 46-D09201,464 ab209,896 a–d2,825 c

NematicideNone197,464 a207,635 a2,825 a
AgLogic 15GG178,519 b177,281 b2,757 a

P-valuesVariety<0.001<0.001<0.001
Nematicide<0.001<0.0010.237
Interaction0.8140.3390.980

For each factor, values with common letters within a column do not differ significantly (P-value >0.05).

DAP, days after planting; MRRS, Macon Ridge Research Station.

2023 soybean growing season

At the NERS field in 2023, the reniform nematode soil population densities at the time of planting ranged between 18,368 and 34,496 nematodes per 500 cm3 of soil (Table 6). By mid-season, differences in reniform nematode soil population densities were observed. The field plots planted with the resistant University of Missouri soybean varieties had lower reniform nematode soil population densities relative to the field plots planted with other soybean varieties. At harvest, field plots planted with University of Missouri resistant soybean varieties continued to reduce reniform nematode soil population densities, resulting in 81% nematode reduction relative to field plots planted with the commercially available soybean varieties. At planting, root-knot nematode soil population densities averaged 0–768 nematodes per 500 cm3 of soil. No differences in root-knot nematode soil population densities were observed by mid-season or at harvest among varieties. Differences in stand count were observed among certain varieties at each assessment date (Table 7). At 14 DAP, Bayer AG48X9, Great Heart Seed GT-4677XS, University of Missouri S16-5503GT, University of Missouri S16-16814R, and University of Missouri S16-16641R had significantly more plants per hectare than Bayer AG48XF0 and Pioneer P54A54X. At 28 DAP, Bayer AG48X9, Great Heart Seed GT-4677XS, and University of Missouri S16-16814R had a greater density of plants per hectare than Bayer AG48XF0, Bayer AG48XF2, and Pioneer P54A54X. No differences in yield were observed among the tested varieties.

Table 6:

Influence of soybean variety and nematicide on Rotylenchulus reniformis and Meloidogyne incognita soil population densities throughout the growing season at the NERS field in 2023.

VarietyR. reniformis/500 cm3 soilM. incognita/500 cm3 soil


At plantMid-seasonAt harvestAt plantMid-seasonAt harvest
Bayer AG48XF018,368 a16,640 a–d24,704 ab64 a192 a384 a
Bayer AG48XF219,008 a28,160 a26,624 ab192 a128 a640 a
Bayer AG48X930,528 a17,152 a–c29,312 ab128 a0 a192 a
Great Heart Seed GT-4677XS25,136 a22,272 ab15,488 b–d64 a64 a128 a
Local Seed Company LS5009XS34,496 a18,112 ab30,400 a768 a192 a1,728 a
Pioneer P54A54X33,024 a13,376 b–e18,432 a–c0 a0 a0 a
University of Missouri S16-5503GT23,232 a4,736 de3,392 d320 a128 a1,536 a
University of Missouri S16-5540R28,352 a5,952 c–e7,936 cd64 a0 a0 a
University of Missouri S16-16814R20,416 a2,752 e3,456 d64 a0 a256 a
University of Missouri S16-16641R20,800 a3,456 e3,840 d320 a384 a512 a

P-values0.6480.001<0.0010.4360.4130.584

Values with common letters within a column do not differ significantly (P-value >0.05).

NERS, Northeast Research Station.

Table 7:

Influence of soybean variety on stand count and yield at the NERS field in 2023.

VarietyStand count (plants/ha)
14 DAP28 DAPYield (kg/ha)
Bayer AG48XF0144,804 d153,804 cd3,901 a
Bayer AG48XF2176,754 cd142,083 cd4,035 a
Bayer AG48X9229,780 ab190,350 ab4,237 a
Great Heart Seed GT-4677XS196,468 a–c216,185 a4,506 a
Local Seed Company LS5009XS182,873 b–d156,361 b–d3,901 a
Pioneer P54A54X135,965 d129,167 d4,842 a
University of Missouri S16-5503GT204,628 a–c161,117 b–d4,775 a
University of Missouri S16-5540R182,193 b–d163,836 b–d4,371 a
University of Missouri S16-16814R239,978 a212,105 a4,304 a
University of Missouri S16-16641R225,021 a–c172,675 bc4,842 a

P-values0.001<0.0010.606

Values with common letters within a column do not differ significantly (P-value >0.05).

DAP, days after planting; NERS, Northeast Research Station.

At the MRRS field in 2023, reniform nematode soil population densities at the time of planting averaged 6,304–9,504 nematodes per 500 cm3 of soil (Table 8). No differences in reniform nematode soil population densities were observed by mid-season. At harvest, differences in reniform nematode soil population densities were observed among the varieties tested. Some commercial varieties, such as Bayer AG48XF2 and Bayer AG48X9, exhibited significantly higher soil population densities of the reniform nematode compared to the resistant University of Missouri varieties. Bayer AG48XF0 also displayed higher reniform nematode densities than University of Missouri S16-5540R and University of Missouri S16-16641R. Additionally, Great Heart Seed GT-4677XS showed greater reniform nematode population densities in the soil than University of Missouri S16-16641R. Differences in stand count were observed among certain varieties at each assessment date (Table 9). At 14 DAP, University of Missouri S16-16814R and University of Missouri S16-16641R had significantly more plants per hectare than Bayer AG48XF0, Bayer AG48XF2, Bayer AG48X9, and Local Seed Company LS5009XS. At 28 DAP, University of Missouri S16-16814R and University of Missouri S16-16641R had significantly more plants per hectare than all other varieties tested. Differences in yield were observed among tested varieties, with Local Seed Company LS5009XS, University of Missouri S16-5503GT, and University of Missouri S16-5540R providing significantly higher yields than Bayer AG48XF0, Pioneer P54A54X, University of Missouri S16-16814R, and University of Missouri S16-16641R.

Table 8:

Influence of soybean variety on Rotylenchulus reniformis soil population densities throughout the growing season at the MRRS field in 2023.

VarietyR. reniformis/500 cm3 soil
At plantMid-seasonAt harvest
Bayer AG48XF09,504 a10,240 a22,528 ab
Bayer AG48XF28,992 a13,840 a23,680 a
Bayer AG48X97,104 a20,192 a32,560 a
Great Heart Seed GT-4677XS7,096 a25,136 a21,632 a–c
Local Seed Company LS5009XS7,616 a18,480 a19,840 a–d
Pioneer P54A54X6,304 a16,128 a20,720 a–d
University of Missouri S16-5503GT8,800 a10,592 a8,960 b–c
University of Missouri S16-5540R8,128 a6,016 a8,064 cd
University of Missouri S16-16814R7,544 a8,946 a9,584 b–d
University of Missouri S16-16641R9,376 a8,512 a7,684 d

P-values0.9980.1150.007

Values with common letters within a column do not differ significantly (P-value >0.05).

MRRS, Macon Ridge Research Station.

Table 9:

Influence of soybean variety on stand count and yield at the MRRS field in 2023.

VarietyStand count (plants/ha)
14 DAP28 DAPYield (kg/ha)
Bayer AG48XF0146,163 c131,887 c1,614 cd
Bayer AG48XF2121,010 c127,808 c1,950 b–d
Bayer AG48X9153,640 c151,601 c1,883 b–d
Great Heart Seed GT-4677XS161,117 bc216,185 b2,287 a–c
Local Seed Company LS5009XS131,887 c156,361 c2,556 ab
Pioneer P54A54X173,357 bc162,479 bc1,749 cd
University of Missouri S16-5503GT189,670 a–c178,113 bc2,623 a
University of Missouri S16-5540R173,357 bc163,158 bc2,556 ab
University of Missouri S16-16814R256,295 a293,005 a1,480 d
University of Missouri S16-16641R228,421 ab281,448 a1,749 cd

P-values0.012<0.0010.013

Values with common letters within a column do not differ significantly (P-value > 0.05).

DAP, days after planting; MRRS, Macon Ridge Research Station.

Discussion

In this study, reniform nematode-resistant soybean varieties consistently supported lower reniform nematode soil population densities at harvest compared to the commercially planted soybean varieties across both trial years (2022 and 2023) and field locations (NERS and MRRS). Averaged across both trial years, final reniform nematode soil population densities were 80% and 66% lower when planted with the resistant University of Missouri soybean varieties compared to the commercially planted soybean varieties at the NERS and MRRS fields, respectively. However, resistant University of Missouri soybean varieties did not reduce the population density of reniform nematodes in the soil at the MRRS during the 2023 trial. This lack in nematode suppression may be attributed to the presence of weeds (Davis and Webster, 2005), which may have facilitated nematode reproduction. Another possible explanation is that conducting the trial over two consecutive years may have allowed the nematode population to adapt and reproduce, thereby diminishing the effectiveness of the resistance trait. However, this is unlikely because we utilized different portions of the field between trial years. Overall, these findings highlight the need for additional research aimed at evaluating the role of weed hosts in supporting reniform nematode populations as well as the durability of deploying host resistance for reniform nematode management in soybean fields. Previous studies have shown that soybean varieties with resistance to reniform nematode are efficient in reducing the final soil population density of reniform nematode. For example, greenhouse studies by Robbins et al. (2001, 2002) revealed that some resistant varieties exhibited numerically smaller final nematode densities compared to the resistant check varieties ‘Forrest’ and ‘Hartwig’. Furthermore, reniform nematode-resistant soybean varieties have been successfully utilized in crop rotations to suppress reniform nematode soil population densities in certain areas of the cotton belt (Gilman et al., 1978; Williams et al., 1983; Davis et al., 2003). The present study and previous research demonstrate that reniform nematode-resistant soybean varieties may be an economically viable option for suppressing reniform nematode soil population densities in crop sequences that include highly susceptible crops, such as cotton and sweetpotato. In addition to suppressing reniform nematode population development in soil, many of the resistant soybean varieties had greater yields than the currently planted soybean varieties evaluated. Although greater yield cannot be directly attributed to reniform nematode suppression in the present study, given differences in agronomic traits associated with each soybean variety, suppression of reniform nematode feeding likely contributed to some extent toward greater yields, given the known susceptibility of soybean to reniform nematode in the region (McGawley et al., 2011). Findings from this study suggest that deploying reniform nematode host resistance in soybean can help reduce reniform nematode population development during the growing season, which may have other long-term benefits on subsequently planted susceptible rotation crops, including cotton and sweetpotato; however, this benefit still needs to be evaluated. In addition to the excellent suppression of reniform nematode population development observed in the present study, other studies have demonstrated the utility of some of these resistant soybean varieties evaluated for the suppression of other nematode pests and diseases. For example, University of Missouri S16-5503GT and University of Missouri S16-16641R have been evaluated in previous studies across various environments in the United States mid-southern states and demonstrated high-yield potential and resistance to multiple diseases such as stem canker and other nematodes of soybeans (Chen et al., 2023, 2024a, 2024b). Overall, the findings from the present study have demonstrated the utility of deploying reniform nematode host resistance in reniform nematode-infested soybean fields in Louisiana.

Despite the identification of reniform nematode resistance in previous studies, the underlying mechanisms of resistance in soybeans remain unclear. However, Rebois et al. (1970, 1975) pointed out that when the reniform nematode penetrates resistant soybean roots, a hypersensitive reaction typically occurs, resulting in cell death and ultimately inhibiting nematode development. The results of this study suggest that hypersensitive responses may be involved, given the complete lack of nematode population development observed in plots planted with resistant varieties. Consequently, this led to a significant suppression of reniform nematode soil population densities across both years of field trials. Furthermore, resistance has been confirmed in two distinct reniform nematode populations in this research. However, to verify the consistency of this resistance, further evaluation of multiple reniform nematode populations must be conducted. Thus, the present study provides valuable information for future studies on soybean resistance to the reniform nematode, including the identification of quantitative trait loci (QTL) associated with this resistance in soybeans. Such findings will ultimately be essential for future breeding programs aimed at developing soybean varieties with durable resistance to the reniform nematode.

In 2022, the in-furrow application of aldicarb (which is not registered for use on soybeans in Louisiana) was included as an additional factor in the experiment to evaluate the yield response of each soybean variety to the presence of nematodes. However, in both field locations, no discernible nematode suppression was observed due to the nematicide application. Similar results were obtained in a related study conducted in 2021 at the same field locations, where in-furrow-applied aldicarb did not affect reniform nematode population densities or the yield of 21 commonly planted commercial varieties (Watson and Price, 2022). Other studies have also demonstrated considerable variability in the efficacy of nematicides for suppressing reniform nematode (Koenning et al., 2007), including on soybeans (Lawrence et al., 2015). In addition to unstable performance, nematicides also have the potential to be toxic to human health, non-target organisms, and the environment (Desaeger et al., 2020). Their use necessitates strict handling practices and may be subject to increased regulatory restrictions or market withdrawal. The negative connotations associated with nematicides emphasize the importance of developing effective host resistance to manage the reniform nematode in soybean production. This study implies that deploying host resistance will be more beneficial for soybean growers compared to using nematicides. In addition, resistant soybean varieties may be incorporated into crop rotations with cotton and other susceptible crops to further reduce nematode soil population densities in infested fields. This rotational strategy may also minimize the selective pressure on reniform nematode populations to overcome host resistance, potentially preserving the durability of available resistant varieties. Overall, utilizing an integrated nematode management approach consisting of multiple management tactics will likely provide the most consistent level of nematode suppression and may help preserve the durability of host resistance in the future by preventing the development of resistance-breaking reniform nematode populations.

The present study has demonstrated that reniform nematode-resistant soybean varieties can effectively suppress reniform nematode population development in infested Louisiana fields and often result in greater yields than the currently grown commercial varieties. Further understanding of the mechanisms related to reniform nematode host resistance in soybeans and the genes involved in resistance will aid in the adoption of this trait into soybean breeding programs and may expedite the release of new resistant soybean varieties to this damaging pest. Furthermore, additional studies on the long-term benefit of deploying soybean host resistance on other reniform nematode-susceptible crops, including cotton and sweetpotato, are warranted.

DOI: https://doi.org/10.2478/jofnem-2025-0039 | Journal eISSN: 2640-396X | Journal ISSN: 0022-300X
Language: English
Submitted on: Jan 2, 2025
Published on: Dec 7, 2025
Published by: Society of Nematologists, Inc.
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Lucy Kiarie, Paul P. Price, Tristan T. Watson, published by Society of Nematologists, Inc.
This work is licensed under the Creative Commons Attribution 4.0 License.