Figures
Abstract
Poor seed quality of soybean is often associated with Phomopsis seed decay (PSD), which is one of the most economically important seed diseases. Diaporthe longicolla (syn. Phomopsis longicolla) is the primary cause of PSD. Control of PSD is best accomplished by planting PSD-resistant cultivars. Sixteen exotic soybean accessions from the USDA soybean germplasm collection were screened for reaction to PSD at Stoneville, Mississippi. They consisted of maturity groups (MG) II, III and IV. Seeds from inoculated and non-inoculated plots harvested either promptly at maturity, or after a two-week delay in harvest, were assessed for infection by D. longicolla. Seed infection ranged from 0 to 36.7%. Overall, PI 417050 (MG II), PI 417017 (MG III), and PI 594692 (MG IV) had significantly (P ≤ 0.05) lower percentages of seed infected by D. longicolla and higher seed germinations than other genotypes in the same maturity groups. PI 587982A also performed well. As a result of these findings, these resistant accessions were used over multiple cycles of breeding to develop improved breeding lines with resistance to PSD and low seed damage. Breeding line 11043-225-72, with combined resistance from both PIs 417050 and 587982A, had low scores for PSD (6.7%) and seed damage (3.4%), while DS65-1, deriving resistance from PI 587982A, had the lowest seed damage score (1.1%) and the highest seed germination (85.6%) among all lines tested in 2017. DS65-1 and 11043-225-72, along with five other improved breeding lines, were provided to public soybean breeders for developing improved cultivars and germplasm lines. DS31-243 (PI 700941), derived from PI 587982A, was publicly released by the USDA in 2022. This research will lead to future releases of improved germplasm lines and cultivars with PSD resistance and high seed quality. It will also aid in disease management and be a benefit to soybean producers and the industry at large.
Citation: Li S, Smith JR, Zhang L (2023) Evaluation of exotic soybean accessions and their use in developing improved soybean lines with resistance to Phomopsis seed decay. PLoS ONE 18(6): e0286519. https://doi.org/10.1371/journal.pone.0286519
Editor: Hao-Xun Chang, National Taiwan University, TAIWAN
Received: January 4, 2023; Accepted: May 17, 2023; Published: June 9, 2023
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
Data Availability: All relevant data are within the paper.
Funding: This research was supported by the USDA-ARS Project 6066-21220-014-000D, Crop Genetics Research Unit at Stoneville, MS. As was indicated in the text, funding was from our Congressionally appropriated award from the US government. No additional external funding was received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."
Competing interests: The authors have declared that no competing interests exist.
Introduction
Soybean [Glycine max (L.) Merr.] is one of the most economically important legume crops grown world-wide [1]. It provides plant-based protein and oil for animal and human nutrition. Soybean is also valuable for making biodiesel and various industrial products. The capabilities of nitrogen fixation make soybean important in sustainable agricultural practices [2,3]. The global demand for soybean has increased dramatically [4]. However, soybean diseases can cause significant yield losses [http://extension.cropsciences.illinois.edu/fieldcrops/diseases/yield_reductions.php]. Poor seed quality of soybean is often associated with the disease Phomopsis seed decay (PSD), which is one of the most economically important seed diseases of soybean [5–8]. PSD occurs in most soybean production areas worldwide, especially in the mid-southern region of the United States [8–10].
The causal agent of PSD was first identified as Phomopsis longicolla in 1985 [5]. However, the fungus was renamed Diaporthe longicolla (Hobbs) J. M. Santos (syn. Phomopsis longicolla) [11], while the name of the disease was retained. Although D. longicolla is the primary cause of PSD, different fungi in the Diaporthe-Phomopsis complex can also cause PSD [7,8]. Several studies have indicated that the isolation frequency of D. longicolla from soybean has been much higher than that of other fungi associated with PSD. For example, in a three-year study from 2002 to 2004 in Stoneville, Mississippi, Diaporthe aspalathi was recovered at very low frequencies, whereas P. longicolla was the major fungal species with highest isolation frequency [12]. Analysis of a total of 17,280 isolates of three pathogens from the Diaporthe-Phomopsis complex from diseased plants collected at nine locations each year from 2002 through 2004 in Ontario, Canada indicated that P. longicolla was the predominant species (41% of isolates), followed by D. phaseolorum var. caulivora (37%) and D. phaseolorum var. sojae (22%) [13]. In a study of Diaporthe species associated with symptomatic and asymptomatic infection of soybean stems in Minnesota, D. longicolla was the most widespread in distribution [14]. Moreover, a single seed could be infected by “either one pathogen or any combination of D. phaseolorum var. caulivora, D. phaseolorum var. sojae, and P. longicolla” [15]. Thus, PSD can be the result of a complex interaction of fungal species rather than just a single entity. In addition, differences in aggressiveness of D. longicolla isolates on soybeans from different geographic regions have been observed [16,17]. The genome sequences and protein networks in the pathogen were also analyzed and reported [18–21].
The most significant symptoms of PSD include, but are not limited to, seed discoloration, shriveled and elongated seeds, and cracked seed coats. If soybean seed are severely infected with D. longicolla, the entire seed surface can be moldy and have a chalk-white color. However, infected soybean seed may also have no visible symptoms [8,22]. It has been reported that symptomless soybean seed with Phomopsis infections can still cause poor emergence, reduced seedling vigor, and damping off and plant death, similar to seeds with symptoms [8,23]. Moreover, soybean seed oil quality can be reduced, and other seed components negatively altered, by the presence of D. longicolla [24].
Environmental conditions play a crucial role in the development of PSD. During the later reproductive growth stages from pod formation through maturation, warm humid environments promote the growth of D. longicolla, which can then cause severe seed infection [25–27]. While being variable in terms of environments and years, PSD has caused substantial yield losses of soybean [28–30]. In 1994, soybean yield losses of almost two million metric tons (MMT) were caused by PSD in the ten largest soybean producing countries [8]. From 1996 to 2007, soybean yield reductions from PSD were estimated to be about 0.4 MMT [30]. However, in 2010 and 2011 in the midsouthern United States (Arkansas, Mississippi, and Missouri), there was a lack of appreciable soybean infection by D. longicolla due to the seed maturation process occurring during hot dry weather [10].
Fungicide treatment represents one of the multiple chemical and cultural approaches for the control of PSD [31–34]. In addition, seed infection could be reduced if soybean seed were harvested timely at maturity, as opposed to delaying harvest due to rainy weather. However, utilizing host genetic resistance by planting resistant cultivars is one of the most effective methods for managing PSD in an environmentally friendly way [35–39].
Our long-term research goal is to develop high-yielding soybean cultivars with resistance to soybean diseases. To achieve this goal, the specific objectives of this study were (i) to evaluate unique exotic soybean accessions from the USDA germplasm collection for their reactions to D. longicolla infection after inoculation, followed by either prompt harvest at maturity or by a two-week delay in harvest after maturity; and (ii) to develop improved soybean breeding lines with PSD resistance and high seed quality.
Materials and methods
Germplasm evaluation
Sixteen soybean plant introductions (PI) from the USDA Soybean Germplasm Collection were used in this study (Table 1). Selection of these soybean lines was based on our previous screening of seed quality including, but not limited to, seed germination, frequency of hard seed and wrinkled seed, as well as the incidence of Phomopsis seed decay (PSD) in high-temperature environments with natural infection of PSD [40]. The selected soybean accessions consisted of maturity groups (MG) II, III, and IV, and included the susceptible checks PI 597412 [https://npgsweb.ars-grin.gov/gringlobal/methodaccession?id1=51091&id2=494138] for MG II, PI 417077 for MG III trials [40], and PI 80837 for MG IV [41]. The resistant checks included PI 417274 [42], PI 417017 [43], and PI 417479 [39] for the trials of MG II, III, and IV, respectively.
Field experiments were conducted at Stoneville, Mississippi (MS) on a Sharkey clay soil (very-fine, smectitic, thermictic Chromic Epiaquert) from 2006 to 2007. For the germplasm evaluation experiments, single-row plots were planted on 18 April 2006 and 20 April 2007. The seeding rate was 33 seeds/m of row in 2.74 m-long rows, with a 0.91-m row spacing. Each plot was a single genotype with a specific inoculation/harvest date treatment.
Maturity groups II, II, and IV were utilized and evaluated as three separate experiments. Within each of these experiments, there was one inoculated block and one non-inoculated block. Each experiment of maturity group and inoculation was a split-plot arrangement of treatments in a randomized complete block design (RCBD), with soybean genotypes as main plots, being randomly arranged within each of six replications, and harvest time (prompt versus two-week delay) as sub-plots.
Each plot was manually bulk-harvested at the appropriate time. Specifically, in 2006, the following treatment combinations were carried out: prompt harvest-inoculated, prompt harvest-non-inoculated, and delayed harvest-inoculated. In 2007, the same treatment combinations were employed with the added combination of delayed harvest-non-inoculated. No chemical treatments were applied to the experiments, as their application to plots inoculated with a soybean pathogen could bias the PSD results. Hence, weed control was manual.
At the R5 growth stage [44], inoculum of D. longicolla, as described below, was applied twice each year at an interval of 14 days. To promote pathogen infection, water was applied as needed by either manually spraying with a battery-operated Solo Model 416 backpack sprayer (Flojet Co., Santa Ana, CA) or through furrow irrigation.
Weather data of total precipitation, number of rainy days, average maximum temperatures and maximum relative humidity during the soybean growing seasons were obtained from the Stoneville, MS weather station
[http://deltaweather.extension.msstate.edu/ag-weather-tools].
Breeding populations
As part of an ongoing effort to incorporate the highest levels of resistance from diverse exotic accessions into improved breeding lines, over 100 heterogeneous breeding lines were evaluated annually over multiple years. Crosses were made between high-yielding soybean lines and the newly identified exotic sources of PSD-resistance, as well as between the new sources of resistance to PSD and previously developed heat-tolerant soybeans [45,46]. Although hundreds of breeding lines were developed and tested during the course of the project [47], this work focuses on the results of the following seven improved breeding lines: 11043-225-72, 11043-224-91, 11030-541-28, 10061-236-11, 10076-121-11, DS65-1, and DS31-243. Each of these lines was derived from resistant accessions tested above (PI 587982A and PI 417050) as well as from an additional resistant accession, PI 424324B, that was identified previously by Li et al. [9]. Attempts were also made to create improved lines derived from multiple sources of resistance, such as PI 587982A with PI 424324B and PI 587982A with PI 417050. Susceptible lines were dropped when identified, while the best of these lines went on for additional testing in yield trials and were later shared with public soybean breeders. Lines 11043-225-72 and 11043-224-91 were derived from DS25-1 x PI 417050. DS25-1 [45,46] is an improved heat tolerant soybean germplasm line released by the USDA in 2017 [https://npgsweb.ars-grin.gov/gringlobal/accessiondetail?id=1954416]. It was derived from DT98-9102 x PI 587982A, where PI 587982A was used in the cross because of its heat tolerance, high germinability, and potential resistance to PSD [40]. DT98-9102 is an improved high-yielding germplasm line developed by R. L. Paris at Stoneville, MS and released by USDA, but not entered into the USDA germplasm collection. PI 417050 had high germinability and low PSD in a previous study [40]. Breeding line 11030-541-28 was derived from DS25-1 x PI 424324B, where PI 424324B was previously identified to be resistant to PSD [9]. Line 10061-236-11 was derived from breeding line 04030-1-4-5-1 x LG03-4561-14 [48]. Breeding line 04030-1-4-1-1 [49] is heat tolerant and was derived from cultivar 5601T [50] x PI 587982A. Breeding line 10076-121-11 was derived from line 07055-2-3-7 x ‘Osage’ [51], where breeding line 07055-2-3-7 was derived from one backcross with DT97-4290 [52] x PI 587982A. Breeding line DS65-1 was derived from PI 587982A x S99-11509 [53] and breeding line DS31-243 was derived from LG04-1459 x 07055-2-3-7. LG04-1459 is a high-yielding, exotically-derived unreleased breeding line developed by R. L. Nelson (USDA, retired) at Urbana, IL. All crosses were made at Stoneville, MS during summer seasons and the F1 plants were grown in Puerto Rico during the following winter/spring of the year.
Plants were advanced from the F2 to F3, F3 to F4, F4 to F5, F5 to F6 and any succeeding generations by pedigree selection [54] at Stoneville, MS. In each generation, selection of individual plants was based on the best agronomic traits (lodging, height, lack of shattering, pod load, pod color, etc.) in the field, followed by assays for germination and/or PSD in the lab. Only plant progenies with the best agronomic traits, seed germination, and low PSD scores were advanced to the next generation.
In single-replicated field trials in 2015 and 2016, each plot was a single row 2.7 m long and 0.91 m wide. All plots were bordered with other experimental lines or with ‘Williams 82.’ Twenty-five seed m-1 of row were planted at a depth of 2.5 cm using a tractor-drawn planter fitted with seed cone attachments and a hydraulic depth-control system. Plots were furrow irrigated as needed every 10–14 days throughout the growing season, which created humidity that rose from the soil through the plant canopy.
Plants of breeding lines were inoculated twice during the period from R5 through R6 [44]. Single plants were selected from heterogeneous F3, F4, F5 and later-generation rows with the best agronomic traits shortly after R8. Homogeneous rows at the F5 and later generations were harvested in bulk. Harvested plant materials were placed in an air-conditioned humidity-controlled building, where they were stored and allowed to uniformly dry, preparatory to being threshed in a single-plant or bundle thresher as appropriate. Once threshed, seed was stored at 21°C and 60% relative humidity until they were assayed for PSD infection and/or seed germination.
In 2017, advanced breeding lines 11043-225-72, 11043-224-91, 11030-541-28, 10061-236-11, 10076-121-11, and DS65-1, and commercial cultivars Pioneer 94Y23, AG4403, AG4232, and Progeny 4211, were grown in replicated four-row plots at Stoneville, MS. Planting date was 10 April and row length was 5.79 m long, but the other planting protocols were as described above. The experimental design was a randomized complete block design with three replications. Due to excessive rains and warm temperatures during August and September in 2017, plots were not inoculated or delay-harvested. The middle two rows of each plot were promptly harvested shortly after R8. Harvested seed was then stored and assayed as per the protocols below. Seed were assayed for PSD, standard germination, and damage kernel total (DKT), as defined by the Federal Grain Inspection Service [https://www.ams.usda.gov/about-ams/programs-offices/federal-grain-inspection-service]. To determine total seed damage (DKT), seed were visually rated for mold, stink bug feeding, green seed, weathering, and heat damage on seed lots of 125 g. Percent seed damage represents the total weight of damaged seed divided by 125 g x 100.
The seven soybean lines (11043-225-72, 11043-224-91, 11030-541-28, 10061-236-11, 10076-121-11, DS65-1, and DS31-243) have been used by colleagues in public breeding programs for developing improved cultivars and germplasm lines. All seven lines have PI 587982A in their background. Lines 11043-225-72 and 11043-224-91 have both PIs 587982A and 417050 in their backgrounds, and line 11030-541-228 has both PIs 587982A and 424324B in its background.
Inoculum preparation and application
Isolate LiMS-1 of D. longicolla, which was available in 2006, was used for inoculation in the germplasm evaluation experiments, whereas another isolate MSPL 10–6 was used for the breeding trials. MSPL 10–6 was one of the most aggressive isolates in our tests [17]. Both isolates were originally from field-grown soybean plants at Stoneville, MS. To prepare the inoculum, the fungal isolate was grown at 24°C on potato dextrose agar (Difco Laboratories, Detroit, MI). After autoclaving, the medium was adjusted to pH 4.8 with 25% lactic acid (APDA). Inoculum was prepared using our previously reported method [9,10]. Briefly, sporulation of the culture was induced under a fluorescent light output of 300 μmol m -2 s-1 with a 12-h photoperiod for 30 to 45 days. Sporulating cultures in Petri dishes were then flooded with sterile deionized water three times, agitated to dislodge conidiospores and filtered with four layers of sterile cheesecloth to eliminate the agar. Concentrations of conidiospores were adjusted to approximately 1.5 x 105/ml, which was determined using a hemacytometer (Hausser Scientific, Blue Bell, PA). A battery-operated backpack sprayer (Solo Model 416; Flojet Co., Santa Ana, CA) was used for field inoculations. The sprayer had a hand-held boom containing a single nozzle with an adjustable orifice at 207 kPa. In each plot, a conidiospore suspension was sprayed directly onto the soybean pods and then evenly across the foliage. Plots were sprayed until runoff [9,10,55]. Approximately 500 ml of the conidiospore suspension was applied to each plot.
Seed assays
Prior to planting, 25 seeds of each line were plated and assayed for incidence of D. longicolla. After manual harvest and threshing of plants, 25 randomly chosen seeds (13% moisture) from each plot (i.e. each replication) for each soybean line for each inoculation treatment/harvest time combination were assayed to determine the percent seed infection by D. longicolla, using the method previously reported [9,10,55]. Seeds were surface-disinfected in 0.5% sodium hypochlorite for 3 min, rinsed in sterile distilled water, and then placed on APDA [9,10,55]. Five seeds were placed on APDA in each 100 mm x 15 mm Petri dish, where one seed was placed in the center and the others were placed equidistantly around the outside of the dish, approximately 10 mm from the side with approximately 30 mm between seeds. All seed plates were incubated for four days at 24°C. The number of seed infected with D. longicolla was recorded and calculated as percent seed infection. Seed germination of 200 arbitrarily selected seeds from each line was determined using a standard soybean seed germination protocol [56].
Isolate identification
Putative D. longicolla colonies were transferred to new APDA plates. In order to distinguish D. longicolla from other Diaporthe spp. in the Diaporthe-Phomopsis complex, such as D. sojae (syn. Phomopsis phaseoli), Diaporthe caulivora and Diaporthe aspalathi (syn. Diaporthe phaseolorum var. meridionalis), thirty selected seed plates with putative D. longicolla colonies were maintained for 45 days at 24°C under 12-h light. In addition, 10 putative D. longicolla isolates, along with the type strain TWH P74, LiMS-1, and isolate MS-SSC91 of D. aspalathi (syn. Diaporthe phaseolorum var. meridionalis) [57] were transferred to PDA or water agar with autoclaved soybean stem pieces or Williams 82 seeds for 45 days under incubation conditions. Observations under the Olympus SZX12 dissecting microscope were conducted beginning 10 days after incubation to check if any isolates formed perithecia. Perithecia have not been found in D. longicolla, but have been reported to be produced by other fungal pathogens in the Diaporthe-Phomopsis complex, such as D. aspalathi that causes southern soybean stem canker, and D. caulivora (syn. Diaporthe phaseolorum var. caulivora) that causes northern soybean stem canker [58], as well as D. sojae (syn. Phomopsis phaseoli) that causes soybean pod and stem blight [59].
As we previously reported [55], identification of purified isolates of D. longicolla was conducted using both cultural morphology and molecular approaches. Initially, morphological characteristics including conidial type, sporulation, and stromal pattern were performed according to Hobbs et al. [5]. Analysis of the rDNA sequences of the internal transcribed space (ITS) regions and the translation elongation factor 1-α gene (TEF-1 α) were performed to confirm the identity of the isolates of D. longicolla. Two primers of ITS1 (5’-TCCGTAGGTGAACCTGCGG-3’) and ITS4 (5’-TCCTCCGCTTATTGATATGC-3’) were used to amplify the ITS region by PCR [55,60,61], while primers of EF1-728F (5’- CAT CGA GAA GTT CGA GAA GG -3’) and EF1-986R (5’-TAC TTG AAG GAA CCC TTA CC -3’) were used to amplify the TEF-1 α gene [60]. All sequences were analyzed using BLASTn [55].
Data analyses
Quantitative data were analyzed statistically and analyses of variance were calculated using the Generalized Linear Mixed procedure (PROC GLMMIX) in SAS (version 9.4, SAS Institute, Cary, NC) with a negative binomial distribution and a log link function specified for seed infection by D. longicolla [62]. Genotype, inoculation treatment, harvest date, and year were independent variables, whereas incidence of D. longicolla, percent seed germination, and percent damaged seed (DKT) were dependent variables. Mean percent seed germination was calculated for each entry. Data were combined across years to test if there were interactions between genotype and year when “year” was the fixed effect, and to compare genotypes within a year, in which “year” was the random effect and “genotype” was the fixed effect. The genotypes were compared with Fisher’s least significant difference (LSD) at P ≤ 0.05 to determine differences among them. Pearson’s correlation coefficients between percent seed infected by D. longicolla and percentage of seed germination were computed using the PROC CORR procedure of SAS.
Results
Evaluation of exotic accessions for incidence of D. longicolla and percent seed germination
The weather information during the soybean growing seasons of 2006 and 2007 is shown in Fig 1. The maximum air temperatures for the growing season of April through October in 2006 averaged 31.1°C and ranged from 26.9 to 35.5°C, while in 2007, they averaged 31.9°C with a range from 22.9 to 36.7°C. In August, most of the plants were at the R5 or R6 growth stage. The average daily maximum air temperatures for August in 2006 and 2007 were 35.5°C and 36.7°C, respectively, which were much higher than 24°C, the optimal temperature for PSD. In 2006, totals for precipitation in June, July, and August were 46, 45, and 40 mm, respectively, while in 2007, totals for precipitation in those months were 99, 197, and 87 mm, respectively (Fig 1).
A: Air maximum temperatures. B: Maximum relative humidity. C: Total precipitation. D: Number of rainy days.
Results of seed assays prior to planting indicated that the soybean accessions we selected had good seed quality. They were free of D. longicolla. However, the PSD-causing pathogen was found in seeds harvested from the field inoculation experiments. Putative isolates of D. longicolla that had typical morphology similar to those of the type strain TWH P74 (ATCC 60325) and isolate LiMS-1 were recorded for each seed tested and used to determine the percentage of seed infection by D. longicolla. Observations of 45-day-old cultures of 30 putative isolates of D. longicolla under the Olympus SZX12 dissecting microscope, on either PDA plates from the seed plating assay or water agar with soybean stem pieces, indicated that no perithecia were present. However, the stem canker-causing pathogen D. aspalathi, isolate MS-SSC91, did form perithecia in the side-by-side comparison with isolates of D. longicolla. Other unidentified Diaporthe/Phomopsis spp., as reported by Mengistu et al. [12], as well as Fusarium spp. and Alternaria spp., were found infrequently. Because soybean plants were inoculated with D. longicolla in our field experiments, and D. longicolla is the prevalent species, the data that we present from this study are focused only on this species.
DNA sequences of four selected isolates were identical with our previous D. longicolla isolates, deposited to Genbank, at the ITS region (Accession MF134860) and in the TEF-1α gene (Accession MF189565) [55]. They also have 99–100% identity with many other reported sequences of D. longicolla strains in GenBank, which included, but were not limited to, accession NR_144924 for the type strain TWH P74 at the ITS regions, and Accessions 590766 and HQ445912 for isolates FAU657 and ER 1678 in the TEF-1α gene, respectively. It is notable that when the sequences of our D. longicolla isolates were compared with D. sojae isolates, such as FAU499 (Accession KJ590760) and FAU604 (Accession KJ590759), there was only 84% similarity of sequence between those two fungal pathogens.
Analysis of variance of seed infection by D. longicolla for MG II, MG III and MG IV accessions indicated that there were significant differences (P ≤ 0.05) among accessions, harvest times, and years. There were significant (P ≤ 0.05) interactions of accession × year, and accession × harvest × year. In MG III and MG IV, interactions of treatment × year were found. For seed germination, there were significant differences (P ≤ 0.05) among accessions, harvest time, and years, and the interactions of accession × year, accession × harvest, and accession × harvest × year were significant at P ≤ 0.05 (ANOVA table not shown).
Mean percentage infected seeds for maturity groups (MGs) II, III and IV entries are shown in Table 2. The susceptible checks PI 597412 (MG II), PI 417077 (MG III), and PI 80837 (MG IV) had the highest percentage of seed infection by D. longicolla for almost all inoculation treatments, harvest times, and years, except PI 417479 (MG IV) in the inoculated delayed harvest treatment in 2007. Interestingly, PI 417479 was identified as a resistant source to PSD in an extensive screening project at Columbia, MO, and Isabela, PR [39,63] and was used in developing resistant germplasm line SS93-6181 [38]. In most cases, plants that were inoculated with D. longicolla had a higher percentage of seed infection by D. longicolla than non-inoculated plants. For example, in the prompt-harvest non-inoculated treatments in 2006, the percentages of seed infection by D. longicolla of PI 417321 (MG II), PI 417328 (MG III), and PI 80837 (MG IV) were 0, 0, and 3.3%, respectively, while in the prompt-harvest inoculated treatments, their corresponding percentages of seed infection by D. longicolla were 5.8, 16.7, and 36.7%, respectively (Table 2). However, PI 417328 had similar percentages of seed infection by D. longicolla in both the delay-harvest non-inoculated and delay-harvest inoculated treatments, with 12.0% and 12.7%, respectively in 2007 (Table 2).
There was a significant (P ≤ 0.05) time-of-harvest effect. In general, D. longicolla seed infection was higher in plots with delayed harvest than in those with prompt harvest. For example, a susceptible accession PI 597412 (MG II) had 11.7% seed infection when harvested on time and 22.5% infection when delay harvested from the inoculated plots in 2006. Percentages of D. longicolla seed infection of PI 417017 (MG III) of inoculated plots in 2007 were 3.3% and 14.0% in prompt and delayed-harvest tests, respectively. In the non-inoculated plots, PI 587576 (MG IV) had seed infection of 5.3% and 11.3% in prompt and delayed-harvest tests, respectively (Table 2). However, there were exceptions. For example, PI 594692 had the same 2.5% of seed infection by D. longicolla in both harvest schemes in non-inoculated plots in 2006.
In view of the results of inoculation treatments and harvest times across both years, PI 417050 (MG II), PI 417017 (MG III), and PI 594692 (MG IV) had significantly (P ≤ 0.05) lower percent seed infected by D. longicolla than most other soybean genotypes in the same maturity group test (Table 2). In addition, soybean genotypes PI 416875, PI 417321, PI 423941 and PI 417274 in MG II, PI 85009–1, PI 417328, and PI 587982A in MG III, and PI 587576, PI 594872 and PI 417479 in MG IV had significantly (P ≤ 0.05) lower percent seed infected by D. longicolla than their respective susceptible checks in their respective maturity group tests (Table 2).
There were differences in seed germination among accessions (Table 3). In general, inoculation with D. longicolla decreased seed germination. In 2006, percent seed germination of PI 417274 (MG II) in the non-inoculated treatment with prompt harvest was 98.3%, while it was 86.7% in the inoculated test (Table 3). In 2007, with prompt harvest, PI 417017 (MG III) and PI 594692 (MG IV) were other good examples. They had 96.0 and 85.7% seed gemination in the non-inoculated treatment, respectively. However, their percentages of seed germination in the inoculated treatment were both reduced to 77.3% and 57.7%, respectively. In some cases, inoculation treatments did not cause significant differences, such as for the susceptible check PI 417077 in the MG III prompt-harvest trial in 2006, where the percentages of seed germination in both non-inoculated and inoculated tests were 45% (Table 3). Harvest times could also affect seed germination. It appeared that delayed harvest decreased seed germination in most cases. In MG II trials in 2007, PI 417050 had 86.0% and 83.0% seed germination in non-inoculated and inoculated treatments, respectively, when harvested promptly, but 78.4% (non-inoculated) and 76.0% (inoculated) seed germination in the delayed harvests (Table 3).
Results from correlation analyses indicated that percent seed infected by D. longicolla was significantly (P < 0.05) and negatively correlated with seed germination in almost every inoculation treatment and harvest time across both 2006 and 2007 (Fig 2).
A. non-inoculation and prompt harvest; B. non-inoculation and delayed harvest; C. inoculation and prompt harvest; D. inoculation and delayed harvest. (1), (2), and (3) are soybean maturity groups II, III and IV, respectively.
Evaluation of improved breeding lines
Lines 11043-225-72, 11043-224-91, and 11030-541-28 were tested in 2015 and 2016 for PSD and seed germination. Although the scores were all zero for PSD in 2015 and were low, ranging from 8.0 to 28.0%, in 2016, there were not adequate checks for comparison (Table 4). However, for seed germination, there were multiple appropriate susceptible checks (CZ3841LL, LG03-4561-14, and LD06-7620), with germination scores of 51.5%, 46.0%, and 34.0%, respectively in 2016, and similar scores in 2015, although lacking data for CZ3841LL for that year (Table 4). In comparison, the seven improved breeding lines all had germination percentages in the 90s in both 2015 and 2016, indicating that they all had high germinability and good seed quality in stressful environments.
In 2017, replicated plots gave the best seed quality estimates for 11043-225-72, 11043-224-91, 11030-541-28, 10061-236-11, 10076-121-11, and DS65-1. There were no data for DS31-243 in 2017. Breeding line 11043-225-72 had minimal PSD (6.7%) and DKT (3.4%) scores compared to those of commercial cultivars (Pioneer 94Y23, AG4403, AG4232, and Progeny 4211), whose scores ranged from 70.9% to 54.7% for PSD and from 15.7% to 8.5% for DKT. DS65-1 had the lowest DKT score (1.1%), but an intermediate (37.3%) PSD score (Tables 4 and 5). DKT scores of less than 2.1% generally do not receive price discounting at grain elevators due to damage. The four other breeding lines had PSD values that ranged from 21.3 to 62.7%, and DKT values that ranged from 2.7 to 4.8% (Table 4). The highest germination percentage was 85.6% for DS65-1, whereas the scores of the other five breeding lines ranged from 46.3 to 84.7%. Pioneer 94Y23, AG4403, AG4232, and Progeny 4211 had germination percentages of 15.3, 29.3, 23.3, and 33.3%, respectively, indicating a lower level of seed quality and germinability for these cultivars (Table 4). DS31-243 was released by USDA-ARS in 2022 and assigned accession number PI 700941 in the Germplasm Resources Information Network (GRIN). We expect that derivatives from one or more of the other breeding lines will be released in the future.
Discussion
Seed quality is very important for soybean growers and processors. Poor seed quality of soybean is often associated with Phomopsis seed decay (PSD). In this study, experiments were designed to evaluate 16 maturity group II, III and IV exotic soybean accessions as a first step toward developing improved soybean germplasm lines. The soybean accessions selected for this study showed different levels of natural field infection from D. longicolla in high-temperature environments in 2002 and 2003 [40]. We therefore hypothesized that PSD-resistant gene(s) may exist in these selected soybean lines. Furthermore, we surmised the new sources of resistance to PSD could be identified under controlled inoculation treatments and utilized for breeding improved germplasm lines with resistance to PSD.
Field trials without inoculation may risk plants escaping pathogen infection if the pathogen is not evenly distributed in the field, which would lead to false conclusions in identifying resistant sources [10,55]. Artificial inoculation under controlled conditions can provide a more uniform distribution of the pathogen and reduce the incidence of disease “escapes” when evaluating a genotype’s reaction to the pathogen. It also provides disease pressure for confirming disease resistance of soybean genotypes [9,64,65]. In this study, soybean genotypes were evaluated under inoculated and non-inoculated treatments. Significant differences in percentages of seed infection by D. longicolla enabled identification of resistant genotypes to PSD in all three maturity groups of soybeans. PI 417050 (MG II), PI 417017 (MG III), and PI 594692 (MG IV) had significantly (P ≤ 0.05) lower percentages of seed infected by D. longicolla than their respective susceptible checks, as well as compared to other genotypes in the same maturity group tests. There were no specific effects of seed infection, germination, or damage due to maturity group in this study, as maturity and genotype were confounded (each genotype has only one maturity).
Populations with resistant accessions were made in 2006 and tested in subsequent generations. Although not as numerically low in PSD as the above three genotypes, other accessions, such as PI 587982A, also had significantly lower PSD values than the susceptible checks. PI 587982A was used extensively in breeding for PSD and heat resistance and is therefore in the parentage of each of the lines in Table 4. Additionally, PI 417050, in combination with PI 587982A, was used to develop breeding line 11043-225-72, which had among the lowest observed levels of both PSD (6.7%) and DKT (3.4%) among all lines tested in 2017 (Table 4). Further, DS65-1 had the highest germination (85.6%) and the lowest level of DKT (1.1%) in 2017, and was the only line tested that had seed damage levels less than the typical price-discount level of 2.1%. These sources of resistance to PSD are highly useful in soybean breeding programs and have been extensively utilized.
Colonization of D. longicolla on soybean and development of PSD are very sensitive to environmental conditions and prefer warm and humid conditions [23,26,66]. In this study, the incidence of PSD was higher in 2007 than in 2006, likely because of environmental factors. When examining weather data, average maximum air temperatures during the soybean growing seasons of 2006 and 2007 were similar, but there were large differences in total precipitation. In July, when most soybean plants reached the R5 growth stage and seeds begin to develop in pod cavities [44], the total precipitation in 2006 was 45 mm, while in 2007, it was 196 mm. During the harvest season in August, the total precipitation in 2006 was 45 mm, while in 2007, it was 87 mm. The difference in late season rainfall between 2006 and 2007 was likely the main cause for differences in PSD incidence between those two years.
The "early soybean production system” (ESPS) is very popular in the midsouthern United States [67]. In this system, early maturing cultivars are planted in late-March through April, and mature in August through September. The ESPS allows soybean to take advantage of plentiful spring and early summer rains to increase chances of avoiding late-season drought, thereby increasing soybean yield [67]. However, the weather in August is usually hot and humid, which can result in severe PSD and resulting poor seed germination in the south [68]. Rainfall or moisture after maturity has been reported to be the key factor determining the extent of damage by D. longicolla and other seedborne pathogens [69]. Delayed harvest due to rainfall with high humidity usually leads to higher infection levels [70]. In this study, the effect of harvest timeliness (prompt vs. delayed) on the incidence of PSD was analyzed. Our results showed that mean seed infection by D. longicolla was more severe after delayed harvest compared to prompt harvest at maturity. Additionally, genotypes that had low seed infection by D. longicolla when harvested on time, could show susceptibility to D. longicolla when harvest was delayed. For example, PI 594872 (MG IV) in 2007 had 2.7 and 8.0% seed infection by D. longicolla in the non-inoculated and inoculated prompt-harvest treatments, respectively. However, when harvest was delayed, the percentages of seed infection by D. longicolla for this accession were as high as 8.7% and 20.7% for the non-inoculated and inoculated treatments, respectively. Therefore, evaluating soybean genotypes under a delayed harvest regime or under conditions that favor PSD disease development is the preferred approach to identify PSD-resistant soybean lines.
Seed gemination is one of the important characteristics of seed quality. In many cases, the percent seed infection by D. longicolla is a good predictor of seed gemination. The most resistant genotypes, PI 417050 (MG II), PI 417017 (MG III), and PI 594692 (MG IV) not only had significantly (P ≤ 0.05) lower percent seed infected by D. longicolla, but also had higher seed germination than the other genotypes in the same maturity group. All susceptible soybean checks in the three maturity groups tested had poor germination, especially in inoculated trials with delayed harvest, which is consistent with our previous findings [9,10,29,55]. Poor seed germination of most soybean cultivars in the ESPS is typical because the current cultivar gene pool apparently lacks adequate resistance genes to PSD and heat [40]. However, identifying resistance to PSD and heat in exotic accessions, and then using those accessions to breed resistance into improved cultivars, appears to be a promising approach.
Developing and utilizing PSD-resistant cultivars is an economical and environmentally friendly strategy to protect soybean crops from disease-induced seed damage, especially when using the popular ESPS in midsouthern states. Due to an extended and committed effort, twenty-seven PSD-resistant homogeneous breeding lines with resistance to PSD and high seed quality were identified from among hundreds of breeding lines, and then tested in multi-year trials. Among these, seven soybean lines, 11043-225-72, 11043-224-91, 11030-541-28, 10061-236-11, 10076-121-11, DS65-1, and DS31-243, were transferred to public soybean breeding programs for developing improved cultivars and germplasm lines. DS31-243 (PI 700941) was publicly released by the USDA in 2022. It is expected that this research will lead to future releases of improved germplasm lines and cultivars with PSD resistance and high seed quality through the use of one or more of the above seven lines, which are all available from the ARS authors to public and commercial researchers through material transfer agreements. In terms of recommendations, DS65-1 and DS31-243 represent the best of these lines derived solely from PI 587982A, whereas 11043-225-72 is the best line derived from PI 417050 and PI 587982A, and 11030-541-28 is the best line derived from PI 424324B and PI 587982A.
D. longicolla has been identified as the main causal agent of PSD. However, although it was the dominant species in isolates from soybean in multiple studies [11–13], several different fungi in the Diaporthe-Phomopsis complex have also been found to be associated with PSD in soybean [11,71,72]. Evaluating soybean breeding lines with a panel of different fungi from the Diaporthe/Phomopsis complex would aid in the management of soybean seed decay, breeding for resistance, and be a benefit to soybean producers and the industry at large.
Acknowledgments
We are grateful to Ms. Avis Clark, Hans Hinrichsen, Philip Handly, Matt Kersh, and numerous temporary employees for their assistance with this research. Special thanks to the State Seed Testing Laboratory at Mississippi State, MS, for seed germination testing, Debbie Boykin for the assistance of data analysis and David Walker for valuable suggestions and discussions about this research.
Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. The findings and conclusions in this publication are those of the authors and should not be construed to represent any official USDA or U.S. Government determination or policy. USDA is an equal opportunity provider and employer.
References
- 1.
Wilcox JR. World distribution and trade of soybean. In: Boerma HR, Specht JE, editors. Soybeans: Improvement, Production, and Uses. Madison: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America; 2004. pp. 1–13.
- 2. Boerema A, Peeters A, Swolfs S, Vandevenne F, Jacobs S, Staes J, et al. Soybean trade: balancing environmental and socio-economic impacts of an intercontinental market. PLoS ONE. 2016; 11; (5):e0155222. pmid:27244079
- 3. Sedivy EJ, Wu F, Hanzawa Y. Soybean domestication: the origin, genetic architecture and molecular bases. New Phytol. 2017; 214: 539–553. pmid:28134435
- 4. Ray DK, Mueller ND, West PC, Foley JA. Yield trends are insufficient to double global crop production by 2050. PLoS One 2013; 8(6):e66428. pmid:23840465
- 5. Hobbs TW, Schmitthenner , Kuter GA. A new Phomopsis species from soybean. Mycologia 1985; 77: 535–544.
- 6.
Li S. Phomopsis seed decay of soybean. In Sudaric A, editor. Soybean–Molecular aspects of breeding. Intech Publisher, Vienna, Austria; 2011. pp. 277–292.
- 7.
Li S, Chen P, Hartman GL. Phomopsis seed decay. In: Hartman GL, Rupe JC, Sikora EJ, Domier LL, Davis JA, Steffey KL, editors. Compendium of soybean diseases and pests, Fifth Edition. APS Press. Minnesota, USA; 2015a; pp 47–48.
- 8. Sinclair JB. Phomopsis seed decay of soybeans—a prototype for studying seed disease. Plant Dis. 1993; 77:329–334.
- 9. Li S, Smith J, Nelson R. Resistance to Phomopsis seed decay identified in maturity group V soybean plant introductions. Crop Sci. 2011; 51: 2681–2688.
- 10. Li S, Rupe J, Chen P, Shannon , Wrather A, Boykin D. Evaluation of diverse soybean germplasm for resistance to Phomopsis seed decay. Plant Dis. 2015b; 99: 1517–1525. pmid:30695950
- 11. Santos JM, Vrandecic K, Cosic J, Duvnjak T, Phillips AJL. Resolving the Diaporthe species occurring on soybean in Croatia. Persoonia 2011; 27: 9–19. pmid:22403474
- 12. Mengistu A, Castlebury L, Smith R, Ray J, Bellaloui N. Seasonal progress of Phomopsis longicolla infection on soybean plant parts and its relationship to seed quality. Plant Dis. 2009; 93: 1009–1018.
- 13. Xue AG, Morrison MJ, Cober E, Anderson TR, Rioux S, Ablett GR, et al. Frequency of isolation of species of Diaporthe and Phomopsis from soybean plants in Ontario and benefits of seed treatments. Can. J. Plant Pathol. 2007; 29:354–364.
- 14. Floyd CM, Malvick DK. Diaporthe species associated with symptomatic and asymptomatic infection of soybean stems in Minnesota: identity, virulence, and growth characteristics. Can. J. Plant Pathol., 2022; https://doi.org/10.1080/07060661.2022.2077450.
- 15. Anderson TR. Seed mold of soybean in Ontario and the influence of production area on the incidence of Diaporthe phaseolorum var. caulivora and Phomopsis sp. Can. J. Plant Pathol. 1985; 7: 74–78.
- 16. Li S, Hartman GL, Boykin D. Aggressiveness of Phomopsis longicolla and other Phomopsis spp. on soybean. Plant Dis. 2010; 94: 1035–1040.
- 17. Li S. Development of a seedling inoculation technique for rapid evaluation of soybean for resistance to Phomopsis longicolla under controlled conditions. Plant Methods. 2018; 14: 81. https://doi.org/10.1186/s13007-018-0348-x.
- 18. Li S., Song Q., Ji P., Cregan P. Draft genome sequence of Phomopsis longicolla type strain TWH P74, a fungus causing Phomopsis seed decay in soybean. Genome Announcement. 2015c; 3(1):e00010–15. pmid:25700395
- 19. Li S, Darwish O, Alkharouf N, Musungu B, Matthews BF. Analysis of the genome sequence of Phomopsis longicolla: A fungal pathogen causing Phomopsis seed decay in soybean. BMC Genomics 2017a;18: 688. pmid:28870170
- 20. Li S, Musungu B, Lightfoot D, Ji P. The Interactomic analysis reveals pathogenic protein networks in Phomopsis longicolla underlying seed decay of soybean. Frontiers in Genetics. 2018; https://doi.org/10.3389/fgene.2018.00104.
- 21. Li S, Deng Y. Mitochondrial genome resource of Phomopsis longicolla, a fungus causing Phomopsis seed decay in soybean. PhytoFrontiers. 2021; 1: 120–122. 2021. https://doi.org/10.1094/PHYTOFR-10-20-0027-A.
- 22.
Kulik MM, Sinclair JB. Phomopsis Seed Decay. In: Hartman GL, Sinclair JB, Rupe JC, editors. Compendium of Soybean Diseases. APS Press, Minnesota, USA; 1999. pp. 31–32.
- 23. Gleason ML, Ferriss RS. Influence of soil water potential on performance of soybean seeds infected by Phomopsis sp. Phytopathology 1985; 75:1236–1241.
- 24. Hepperly PR, Sinclair JB. Quality losses in Phomopsis–infected soybean seeds. Phytopathology 1978; 68: 1684–1687.
- 25. Balducchi AJ, McGee DC. Environmental factors influencing infection of soybean seeds by Phomopsis and Diaporthe species during seed maturation. Plant Dis. 1987; 71:209–212.
- 26. Rupe JC. Effects of temperature on the rate of infection of soybean seedlings by Phomopsis longicolla. Can. J. Plant Pathol. 1990; 12: 43–47.
- 27. TeKrony DM, Egli DB, Stuckey RE, Balles J. Relationship between weather and soybean seed infection by Phomopsis sp. Phytopathology 1983; 73: 914–918.
- 28. Baird RE, Abney TS, Mullinix BG. Fungi associated with pods and seeds during the R6 and R8 stages of four soybean cultivars in southwestern Indiana. Phytoprotection 2001; 82:1–11.
- 29. Wrather JA, Sleper DA, Stevens WE, Shannon JG, Wilson RF. Planting date and cultivar effects on soybean yield, seed quality, and Phomopsis sp. seed infection. Plant Dis. 2003; 87: 529–532.
- 30. Wrather JA, Koenning SR. Effects of diseases on soybean yields in the United States 1996 to 2007. Plant Health Progress. 2009;
- 31. Cross C, Wrather A, Fothergill K, Tindall K., Shannon G, Li S, et al. Effect of lactofen, azoxystrobin, and genotypes on charcoal rot, Phomopsis seed decay and pod and stem blight in soybean. Plant Dis. 2012; 96:1154–1158. pmid:30727092
- 32. Jardine DJ. The Iowa soybean pod test for predicting Phomopsis seed decay in Kansas. Plant Dis. 1991; 75: 523–525.
- 33. Tekrony DM, Egli DB, Stuckey RE, Loeffler TM. Effect of benomyl applications on soybean seedborne fungi, seed germination, and yield. Plant Dis. 1985; 69: 763–765.
- 34. Wrather JA, Shannon JG, Stevens WE, Sleper DA, Arelli AP. Soybean cultivar and foliar fungicide effects on Phomopsis sp. seed infection. Plant Dis. 2004; 88:721–723.
- 35. Jackson EW, Fenn P, Chen P. Inheritance of resistance to Phomopsis seed decay in soybean PI 80837 and MO/PSD-0259 (PI 562694). Crop Sci. 2005; 45: 2400–2404.
- 36. Jackson EW, Feng C, Fenn P, Chen P. Genetic mapping of resistance to Phomopsis seed decay in the soybean breeding line MO/PSD-0259 (PI562694) and plant introduction 80837. J. Hered. 2009; 100: 777–783. pmid:19589849
- 37. Li S, Chen P. Resistance to Phomopsis seed decay in soybean. International Scholarly Research Network (ISRN)—Agronomy. 2013; 2013: 1–8.
- 38. Pathan MS, Clark KM, Wrather JA, Sciumbato GL, Shannon JG, Nguyen HT, et al. Registration of soybean germplasm SS93-6012 and SS93-6181 resistant to Phomopsis seed decay. J. Plant Regist. 2009; 3: 91–93.
- 39. Zimmerman MS, Minor HC. 1993. Inheritance of Phomopsis seed decay resistance in soybean PI 417479. Crop Sci. 1993; 32: 96–100.
- 40. Smith JR, Mengistu A, Nelson RL, Paris RL. Identification of soybean accessions with high germinability in high-temperature environments. Crop Sci. 2008; 48: 2279–2288.
- 41. Mengistu A., Smith JRBellaloui N, Paris RL, Wrather JA. Irrigation and time of harvest effect on evaluation of selected soybean accessions against Phomopsis longicolla. Crop Sci. 2010; 50: 2055–2064.
- 42. Dorrance AE, Schmitthenner AF. New sources of resistance to Phytophthora sojae in the soybean plant introductions. Plant Dis. 2000; 84: 1303–1308.
- 43.
Fehr WR, Caviness CE. Stages of soybean development. Iowa Agric. Exp. Stn. Spec. Rep. 80. Iowa State Univ., Ames, IA, USA; 1977.
- 44. Krishnan HB, Kim WS, Oehrle NW, Smith JR, Gillman JD. Effect of heat stress on seed protein composition and ultrastructure of protein storage vacuoles in the cotyledonary parenchyma cells of soybean genotypes that are either tolerant or sensitive to elevated temperatures. International Journal of Molecular Sciences 2020; 21: 4775. pmid:32635665
- 45. Narayanan S, Zoong-Lwe ZS, Gandhi NR. Welti N, Fallen B, Smith JR, et al. Comparative lipidomic analysis reveals heat stress responses of two soybean genotypes differing in temperature sensitivity. Plants 2020; 9: 457. pmid:32260392
- 46. Li S, Smith J. Evaluation of soybean breeding lines for resistance to Phomopsis seed decay in Stoneville, Mississippi, 2014. Plant Disease Management Report. 2016;10: FC045.
- 47. Smith JR, Gillen AM, Nelson RL, Bruns A, Mengistu A. Li S, et al. Registration of high-yielding exotically derived soybean germplasm line LG03-4561-14. J. Plant Registrations. 2019; 13: 237–244.
- 48. Gillman JD, Chebrolu K, Smith JR. Quantitative trait locus mapping for resistance to heat-induced seed degradation and low phytic acid in soybean. Crop Sci. 2021; 61: 2020–2035.
- 49. Pantalone VR, Allen FL, Landau-Ellis D. Registration of ‘5601T’ Soybean. Crop Sci. 2003; 43(3): 1123–1124.
- 50. Chen P, Sneller CH, Mozzoni LA, Rupe JC. Registration of ‘Osage’ Soybean. J. Plant Registrations. 2007; 1:89–92.
- 51. Paris RL, Mengistu A, Tyler JM, Smith JR. Registration of soybean germplasm line DT97-4290 with moderate resistance to charcoal rot. Crop Science 2006; 46: 2324–2325.
- 52. Ploper LD. Influence of soybean genotype on rate of seed maturation and its impact on seedborne fungi. Ph. D. Dissertation. Purdue University (bepress). Indiana, USA; 1987.
- 53. Shannon JG, Nelson RL, Wrather JA. Registration of S99-11509 and S99-11986 Improved Soybean Germplasm with Diverse Pedigree. J. Plant Registrations. 2005; 45:1672–1673.
- 54. Briggs FN, Knowles PF. Introduction to Plant Breeding. Reinhold Publishing Corporation, USA; 1967.
- 55. Li S, Sciumbato G, Rupe J, Shannon G, Chen P, Boykin D. Evaluation of commercial soybean cultivars for reaction to Phomopsis seed decay. Plant Disease. 2017b; 101: 1990–1997. pmid:30677383
- 56. Association of Official Seed Analysts. Rules for testing seeds. Assoc. Official Seed Analysts, Las Cruces, NM. 2001.
- 57. Li S, Song Q, Martins A, Cregan P. Draft genome sequence of Diaporthe aspalathi isolate MS-SSC91, a fungus causing stem canker in soybean. Genomics Data 2016; 7: 261–263. pmid:26981423
- 58.
Rupe JC. 2015. Stem canker. In: Hartman GL, Rupe JC, Sikora EJ, Domier LL, Davis JA, t KL, editors. Compendium of soybean diseases and pests, Fifth Edition. APS Press. Minnesota, USA; 2015. pp. 85–88.
- 59.
Kulik MM, Sinclair JB, Hartman GL. 2015. Pod and stem blight. In: Hartman GL, Rupe JC, Sikora EJ, Domier LL, Davis JA, Steffey KL, editors. Compendium of soybean diseases and pests, Fifth Edition. APS Press. Minnesota, USA; 2015. pp 49–51.
- 60.
White TJ, Bruns T, Lee S, Taylor JW. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In: Innis MA, Gelfand DH, Sninsky JJ, White TJ. editors. PCR Protocols: A Guide to Methods and Applications. Academic Press, Inc., New York, USA; 1990. pp. 315–322.
- 61. Carbone I, Kohn LM. A method for designing primer sets for speciation studies in filamentous ascomycetes. Mycologia 1999; 91:553–556.
- 62.
Littell R, Milliken G, Stroup W, Wolfinger R, Schabenberger O. SAS for Mixed Models. SAS Press; 2006.
- 63. Brown EA, Minor HC, Calvert OH. A soybean genotype resistant to Phomopsis seed decay. Crop Sci. 1987; 27:895–898.
- 64. Farias Neto AF, Hartman GL, Pedersen WL, Li S, Bollero GA, Diers BW. Irrigation and inoculation treatments that increase the severity of soybean sudden death syndrome in the field. Crop Sci. 2006; 46: 2547–2554.
- 65.
Hartman GL, Rupe JC, Sikora EJ, Domier LL, Davis JA, Steffey KL. Compendium of soybean diseases and pests. American Phytopathological Society (APS) Press. Minnesota, USA; 2015.
- 66. Spiker DA, Schmitthenner AF, Ellett CW. Effects of humidity, temperature, fertility, and cultivar on the reduction of soybean seed quality by Phomopsis sp. Phytopathology 1981; 71: 1027–1029.
- 67.
Heatherly LG. Early soybean production system (ESPS). In: Heatherly LG, Hodges HF, editors. Soybean Production in the Midsouth. CRC Press, Boca Raton, Florida, USA; 1999. Pp. 103–118.
- 68. Mayhew WL, Caviness CE. Seed quality and yield of early-planted, short-season soybean genotype. Agron. J. 1994; 86:16–19.
- 69. Rupe JC, Ferriss RS. Effects of pod moisture on soybean seed infection by Phomopsis sp. Phytopathology 1986; 76: 273–277.
- 70. Stovold GE, Francis A. Incidence of Phomopsis phaseolina (Desm.) Sacc. in crops and seed of soybean in New South Wales. Australian J. Exp. Agri. 1987; 27: 317–321.
- 71. Behnoush H, Abbas El-H, Tobias L, Ralf TV. Analysis of the species spectrum of the Diaporthe/Phomopsis complex in European soybean seeds. Mycological Progress. 2000; 19:455–469.
- 72. Gomes RR, Glienke C, Videira SIR, Lombard L, Groenewald JZ, Crous PW. Diaporthe: a genus of endophytic, saprobic and plant pathogenic fungi. Persoonia. 2013; 31:1–41. pmid:24761033