Keywords: Gossypium hirsutum, seedling disease
Fungal pathogens of cotton seedlings include Rhizoctonia solani, Pythium spp., Fusarium spp., and Thielaviopsis basicola. Thielaviopsis basicola, the causal agent of black root rot, is primarily a post-emergence problem, where the lateral root system does not develop extensively, because of root necrosis. The fungus does not usually kill the seedlings, but does delay the development of lateral roots. Once the roots are able to slough off the necrotic root tissue, the lateral roots are able to form. The disease is most severe in weather where cool temperatures (≤ 21 C) persist (Bland et al., 1953; Rothrock, 1992). The fungus can also interact with the root-knot nematode, Meloidogyne incognita, in which case the damage to the roots is more extensive, and yield loss may increase (Walker et al., 1998; Walker et al., 1999; Walker et al., 2000).
Management of T. basicola is primarily achieved by planting under growing conditions that allow the plant to emerge and grow rapidly, or by crop rotation to nonhosts. Thielaviopsis basicola reproduces on a wide range of hosts (Johnson, 1916; Yarwood and Levkina, 1976), however, monocots are nonhosts. The primary infection propagule is similar to a chlamydospore, which survives well in the absence of a host. Therefore, in severe infestations, it may be necessary to rotate to nonhosts for a number of years. Chemical management with seed treatments can reduce the amount of root necrosis caused by T. basicola and increase yield (Kaufman and Wheeler, 1998). However, only partial control is achieved, and in moderate to severely infested fields, 100% root necrosis can occur even with fungicide seed treatments that are active against T. basicola. It is unlikely that a seed treatment will have sufficient systemic activity to protect a taproot. An in-furrow fungicide may be more effective in providing a zone of protection for roots, however, no fungicides have been labeled for that use in the United States.
Resistance to T. basicola has been identified and used in tobacco production (Haji et al., 2003). However, in most crops natural resistance has not been identified. Partial resistance was identified in G. arboreum (Wheeler et al., 1999), but no previous resistance of any strength has been found in G. hirsutum. It would greatly facilitate management of black root of cotton if there were a strong source of resistance available in G. hirsutum. The objective of this study was to screen some of the USDA cotton collection of G. hirsutum (http://www.ars-grin.gov/cgi-bin/npgs/html/tax_site_acc.pl?COT%20Gossypium%20hirsutum) for resistance to T. basicola.
METHODS AND MATERIALS
Seed was obtained from the USDA cotton germplasm collection and increased. Soil was autoclaved twice at 120C and 1.05 kg/cm2 for 2.5 hours, before use. Thielaviopsis basicola was grown on carrot agar (Wheeler et al., 1999) for at least six weeks, and then the propagules were scraped off the plates and washed through a sieve with a 74-μm pore size. The inoculum density was adjusted to 500 clamydospores/cm3 soil. Soil (110 cm3) was added to a plastic Cone-Tainer (3.8 cm diameter, 14 cm long, Stewe & Sons, Corvallis, OR, USA), and a single seed was planted. There were 25 replications of each line planted for each test. In each test, a susceptible (‘Paymaster 2326 RR’, G. hirsutum) and a resistant line (A1 20, G. herbaceum) were included. Entries were arranged in a randomized complete block design and held in a growth chamber at 19C for 25 days. After 25 days, the roots were washed free of the soil and rated for percent necrosis. A total of 258 lines were screened.
Statistical analysis was done with PROC MIXED in SAS (SAS Institute, Cary, NC, USA). The fixed factor was line and replication was a random factor. The PDIFF test was used to determine if lines differed from the resistant or susceptible checks. There were an unequal number of observations between lines, since germination was very different between entries. Lines were considered different if P ≤ 0.05, however, it is unknown what effect the uneven number of observations of each entry had on the probability level.
RESULTS AND DISCUSSIONS
Lines that had levels of root necrosis similar to that of the resistant check (A1 20, G. herbaceum) included: TX1, TX 5, TX 15, TX 25, TX 27, TX 28, TX 29, TX 51, TX 68, TX 70, TX 83, TX 93, TX 96, TX 104, TX 111, TX 125, TX 129, TX 130, TX 140, TX 141, TX 143, TX 147, TX 151, TX 153, TX 163, TX 304, TX 320, TX 1867, and TX 2498 (Table 1). Locations with a high frequency of resistant lines included Ceara, Brazil (TX 2498) and St. Lucia (TX 1867), however, only one entry was tested from each of these sites. Locations with a moderate percentage of tested lines that were resistant were Jutiapa, Guatemala (8 of 36 were rated resistant) and Guerrero, Mexico (3 out of 21 were rated resistant) (Table 1). There were 58 lines that had an intermediate level of resistance to T. basicola (Table 2) where the percent of root necrosis was significantly less than the susceptible check, but higher than the resistant check. There were 171 lines that had a level of root necrosis similar to that of the susceptible check (data not shown).
The identification of resistance to T. basicola in tetraploid cotton should greatly facilitate the development of cotton lines with good agronomic properties and resistance to black root rot. Resistance to black root rot has been found in diploid cotton (i.e. A 20, Wheeler et al., 1999), however, it has proven difficult to move the resistance into tetraploid cotton. With a starting point of resistant tetraploid cotton, it should be possible to move the resistance into cotton lines with good agronomic properties much more rapidly than when starting with resistant diploid cotton. Resistant cultivars would be an excellent alternative to current methods of control.
REFERENCES
Bland, L. J., P. J. Leyendecker Jr., and R. M. Nakayama. 1953. Observations on black root rot
symptoms on cotton seedlings at different soil temperatures. Plant Dis. Rep. 37:473-476.
Haji, H. M., R. A. Brammail, and D. L. Van Hooren. 2003. Effect of the Nicotiana debneyi black
root rot resistance gene on the yield and quality characteristics of flue-cured tobacco in
Ontario. Canad. J. Plant Sci. 83:939-942.
Johnson, J. 1916. Host plants of Thielavia basicola. J. Agric. Res. 7:289-300.
Kaufman, H. W., T. A. Wheeler, R. Graves, G. Schuster, P. Kidd, and K. Siders. 1998. Large
plot performance of seedling disease seed treatment fungicides. 1:149-152. Proc.
Beltwide Cotton Conf., San Diego, CA 5-9 Jan. Natl. Cotton Council, Am., Memphis,
TN.
Rothrock, C. S. 1992. Influence of soil temperature, water, and texture on Thielaviopsis basicola
and black root rot on cotton. Phytopath. 82:1202-1206.
Walker, N. R ., T. L. Kirkpatrick, and C. S. Rothrock. 1998. Interaction between Meloidogyne
incognita and Thielaviopsis basicola on cotton (Gossypium hirsutum). J. Nematol.
30:415-422.
Walker, N. R., T. L. Kirkpatrick, and C. S. Rothrock. 1999. Effect of temperature on
histopathology of the interaction between Meloidogyne incognita and Thielaviopsis
basicola on cotton. Phytopath. 89:613-617.
Walker, N. R., T. L. Kirkpatrick, and C. S. Rothrock. 2000. Influence of Meloidogyne incognita
and Thielaviopsis basicola populations on early-season disease development and cotton
growth. Plant Dis. 84:449-453.
Wheeler, T. A., J. R. Gannaway, and K. Keating. 1999. Identification of resistance to
Thielaviopsis basicola in diploid cotton. Plant Dis. 83:831-833.
Yarwood, C. E. and L. M. Levkina. 1976. Crops favoring Thielaviopsis. Plant Dis. Rept. 60:347-
349.
Table 1. List of cultivars identified with resistance to Thielaviopsis basicola.
Entry | PI | # of plants rated | % Root necrosis | Rating/ Susceptible cultivarz | Rating/ Resistant cultivary | Collection area |
TX1 | 153981 | 11 | 40 | 0.44 | 1.22 | Mexico |
TX5 | 153987 | 6 | 33 | 0.37 | 1.02 | Guerrero, Mexico |
TX15 | 154013 | 18 | 35 | 0.39 | 1.07 | Mexico |
TX25 | 154035 | 4 | 15 | 0.25 | 0.86 | Mexico |
TX27 | 154037 | 16 | 29 | 0.47 | 1.66 | Chiapas, Mexico |
TX28 | 154038 | 7 | 27 | 0.44 | 1.56 | Mexico |
TX29 | 154040 | 19 | 29 | 0.48 | 1.68 | Mexico |
TX51 | 154071 | 15 | 21 | 0.27 | 2.26 | Chiapas, Mexico |
TX68 | 153960 | 5 | 36 | 0.37 | 1.25 | Guatemala |
TX70 | 153964 | 17 | 41 | 0.42 | 1.41 | Guatemala |
TX83 | 153972 | 5 | 66 | 0.72 | 1.08 | Guatemala |
TX93 | 163654 | 11 | 68 | 0.74 | 1.11 | Jutiapa, Guatemala |
TX96 | 163665 | 11 | 57 | 0.62 | 0.94 | Jutiapa, Guatemala |
TX104 | 163676 | 11 | 68 | 0.74 | 1.11 | Jalapa, Guatemala |
TX111 | 163639 | 6 | 63 | 0.68 | 1.03 | Jutiapa, Guatemala |
TX125 | 165329 | 9 | 70 | 0.76 | 1.15 | Mexico |
TX129 | 165282 | 10 | 74 | 0.80 | 1.21 | Oaxaca, Mexico |
TX130 | 165296 | 11 | 64 | 0.70 | 1.05 | Oaxaca, Mexico |
TX140 | 163614 | 3 | 72 | 0.78 | 1.18 | Jutiapa, Guatemala |
TX141 | 163640 | 13 | 67 | 0.73 | 1.10 | Jutiapa, Guatemala |
TX143 | 163707 | 9 | 64 | 0.70 | 1.06 | Chiquimula, Guatemala |
TX147 | 165310 | 11 | 75 | 0.81 | 1.22 | Oaxaca, Mexico |
TX151 | 163633 | 10 | 65 | 0.71 | 1.07 | Jutiapa, Guatemala |
TX153 | 163653 | 7 | 69 | 0.75 | 1.14 | Jutiapa, Guatemala |
TX163 | 163641 | 3 | 58 | 0.63 | 0.96 | Jutiapa, Guatemala |
TX304 | 165366 | 3 | 20 | 0.27 | 8.89 | Guerrero, Mexico |
TX320 | 165385 | 3 | 20 | 0.27 | 8.89 | Guerrero, Mexico |
TX1867 | 530498 | 4 | 16 | 0.22 | 7.22 | St. Lucia |
TX2498 | 607803 | 12 | 14 | 0.19 | 6.11 | Ceara, Brazil |
zThe susceptible check that was used in every test was ‘Paymaster 2326 RR’.
yThe resistant check that was used in every test was A20 (Gossypium herbaceum).
Table 2. Identification of Gossypium hirsutum lines with weak resistance to Thielaviopsis basicola.
Entry | PI | # of plants rated | % Root necrosis | Rating/ Susceptible cultivarz | Rating/ Resistant cultivary | Collection area |
TX3 | 153984 | 20 | 70 | 0.77 | 2.1 | Guerrero, Mexico |
TX6 | 153988 | 18 | 78 | 0.86 | 2.4 | Puebla, Mexico |
TX14 | 154011 | 41 | 77 | 0.85 | 2.3 | Oaxaca, Mexico |
TX17 | 154022 | 20 | 36 | 0.59 | 2.1 | Mexico |
TX22 | 154029 | 17 | 39 | 0.64 | 2.3 | Chiapas, Mexico |
TX67 | 154103 | 8 | 53 | 0.54 | 1.8 | Chipas, Mexico |
TX71 | 153965 | 15 | 49 | 0.50 | 1.7 | Guatemala |
TX75 | 153968 | 18 | 51 | 0.53 | 1.8 | Guatemala |
TX76 | 153968 | 8 | 51 | 0.53 | 1.8 | Guatemala |
TX77 | 153969 | 10 | 69 | 0.71 | 2.4 | Guatemala |
TX78 | 153969 | 10 | 52 | 0.54 | 1.8 | Guatemala |
TX184 | 163642 | 8 | 57 | 0.67 | 3.6 | Jutiapa, Guatemala |
TX187 | 163723 | 12 | 60 | 0.71 | 3.7 | Zacapa, Guatemala |
TX198 | 163655 | 11 | 37 | 0.44 | 2.3 | Jutiapa, Guatemala |
TX206 | 165368 | 14 | 61 | 0.72 | 3.8 | Guerrero, Mexico |
TX215 | 163637 | 12 | 61 | 0.72 | 3.8 | Jutiapa, Guatemala |
TX216 | 163649 | 16 | 63 | 0.75 | 4.0 | Jutiapa, Guatemala |
TX220 | 163683 | 19 | 43 | 0.50 | 2.7 | Jalapa, Guatemala |
TX221 | 163706 | 13 | 56 | 0.66 | 3.5 | Chiquimula, Guatemala |
TX228 | 163672 | 60 | 54 | 0.64 | 3.4 | Jalapa, Guatemala |
TX236 | 163650 | 12 | 36 | 0.43 | 2.3 | Jutiapa, Guatemala |
TX243 | 165324 | 14 | 58 | 0.68 | 3.6 | Oaxaca, Mexico |
TX247 | 163631 | 13 | 37 | 0.44 | 2.3 | Jutiapa, Guatemala |
TX248 | 163673 | 2 | 60 | 0.71 | 3.8 | Jalapa, Guatemala |
TX256 | 165245 | 10 | 53 | 0.63 | 3.3 | Oaxaca, Mexico |
TX257 | 165253 | 7 | 55 | 0.65 | 3.5 | Oaxaca, Mexico |
TX259 | 165267 | 13 | 59 | 0.70 | 3.7 | Oaxaca, Mexico |
TX264 | 165302 | 10 | 58 | 0.69 | 3.6 | Oaxaca, Mexico |
TX277 | 165249 | 4 | 58 | 0.68 | 3.6 | Oaxaca, Mexico |
TX280 | 165292 | 11 | 46 | 0.63 | 20.6 | Oaxaca, Mexico |
TX281 | 165299 | 18 | 46 | 0.63 | 20.5 | Oaxaca, Mexico |
TX282 | 165306 | 16 | 53 | 0.72 | 23.5 | Oaxaca, Mexico |
TX285 | 165251 | 13 | 45 | 0.62 | 20.0 | Oaxaca, Mexico |
TX292 | 165230 | 13 | 45 | 0.62 | 20.2 | Oaxaca, Mexico |
TX295 | 165252 | 13 | 46 | 0.63 | 20.3 | Oaxaca, Mexico |
TX296 | 165266 | 11 | 39 | 0.53 | 17.2 | Oaxaca, Mexico |
TX297 | 165273 | 9 | 43 | 0.59 | 19.3 | Oaxaca, Mexico |
TX298 | 165280 | 17 | 34 | 0.46 | 15.0 | Oaxaca, Mexico |
TX301 | 165301 | 18 | 47 | 0.65 | 21.0 | Oaxaca, Mexico |
TX303 | 165352 | 10 | 46 | 0.63 | 20.4 | Oaxaca, Mexico |
TX305 | 165376 | 6 | 43 | 0.58 | 18.9 | Guerrero, Mexico |
TX311 | 165370 | 4 | 35 | 0.48 | 15.6 | Guerrero, Mexico |
TX325 | 165393 | 14 | 36 | 0.49 | 16.0 | Guerrero, Mexico |
TX1148 | 273895 | 20 | 38 | 0.52 | 16.9 | Kefa, Ethiopia |
TX1533 | 530164 | 13 | 49 | 0.67 | 21.7 | Martinique |
TX1585 | 530216 | 15 | 41 | 0.57 | 18.4 | Haiti |
TX1612 | 530243 | 14 | 38 | 0.52 | 17.0 | Guadeloupe |
TX1614 | 530245 | 12 | 47 | 0.64 | 20.9 | Guadeloupe |
TX1620 | 530251 | 5 | 40 | 0.55 | 17. 8 | Guadeloupe |
TX1824 | 530455 | 15 | 24 | 0.32 | 10.5 | Dominican Republic |
TX1841 | 530472 | 4 | 45 | 0.62 | 20.0 | Desirade, Guadeloupe |
TX1862 | 530493 | 12 | 50 | 0.68 | 22.0 | Guadeloupe |
TX2115 | 478759 | 16 | 45 | 0.62 | 20.1 | Australia |
TX2214 | 501394 | 14 | 52 | 0.71 | 23.2 | Netherlands Antilles |
TX2237 | 501417 | 13 | 31 | 0.43 | 13.8 | Jamaica |
TX2297 | 501477 | 13 | 38 | 0.52 | 16.8 | Puerto Rico |
TX2852 |
| 3 | 43 | 0.59 | 19.3 |
|
zThe susceptible check that was used in every test was ‘Paymaster 2326 RR’.
yThe resistant check that was used in every test was A20 (Gossypium herbaceum).