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a Louisiana State Univ. Agric. Ctr., Sugar Res. Stn., P.O. Box 604, St. Gabriel, LA 70776 USA
b Univ. of Arkansas, Rice Res. and Ext. Ctr., P.O. Box 351, Stuttgart, AR 72160 USA
kgravois{at}agctr.lsu.edu
| ABSTRACT |
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Abbreviations: GE, genotype x environment
| INTRODUCTION |
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Cultivars vary in the amount of damage caused by the rice stink bug, but one general conclusion is that medium-grain cultivars sustain more damage from rice stink bugs than long-grain rice cultivars (Helm, 1953; Rolston et al., 1966; Bernhardt, 1993). In addition, cultivars within a grain type also vary. For example, among long-grain cultivars, Jefferson, Katy, and LaGrue typically have low amounts of rice stink bug damage, whereas Alan, Newbonnet, and Cypress have high levels of damage.
Another source of rice kernel discoloration is kernel smut. After disease infection, mycelia grow within the developing rice kernel, eventually consume the endosperm, and produce numerous spherical black teliospores (Whitney and Frederiksen, 1975). The teliospores survive on the seed, rice straw residue, and in the soil. These spores overwinter, float to the water surface during the next rice crop, germinate, and produce airborne sporidia that infect the florets. The fungus is capable of infecting florets before anthesis, and infection is enhanced by high moisture during heading (Cartwright et al., 1997). Kernel smut is more severe when high N fertilizer levels are applied (Templeton et al., 1960) and on land with continuous rice or water-seeded rice. Severe kernel smut results in a reduction of rough rice yields, low milling quality, and inferior final milled product. Currently, the only practical means of controlling kernel smut in rice is adoption of resistant cultivars.
Kernel smut is more severe in the mid South in Arkansas, Mississippi, and Missouri than in the gulf coastal rice growing regions of Louisiana and Texas. From 1996 through 1998 in Arkansas, rough rice loads were penalized by the mills for excessive damage from kernel smut. Cultivars such as Cypress and LaGrue are severely affected by kernel smut, while other cultivars such as Bengal, Mars, and Lemont have excellent field resistance.
Discolored kernels negatively affect rice quality during the milling process. When hulls and bran are removed, the abrasion of one kernel upon another causes the breakage of kernels that were damaged by rice stink bugs. Milling seldom completely removes the discolored portion of linear and rice stink bug damaged kernels. Milling will remove damage caused by kernel smut and some other pathogens, but often the kernels are chalky and smaller than normal. Regardless of the cause, the discoloration of damaged kernels is enhanced by parboiling. In addition to the obvious discoloration on individual grain, healthy grain in a heavily smutted load are discolored by smut spores dispersed during milling and by absorption of water-soluble pigments from the spores during the parboiling process. Thus, discolored kernels will either decrease the percentage of whole milled kernels and percentage of total milled rice (broken kernels plus whole kernels), or decrease the quality of white and parboiled rice, or both.
Kernel discolorations are receiving increased attention in the Arkansas rice breeding program. Our objective was to further understand the heritability and GE interactions for discolored kernels so that rice breeders can effectively improve kernel quality characteristics.
| Materials and methods |
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For this study, data were obtained from the Arkansas Rice Performance Trials conducted in 1993 and 1994 at three Arkansas locations: the Rice Research and Extension Center near Stuttgart, Hardin Farms near Tupelo, and the Southeast Branch Experiment Station at Rohwer. Plots were six rows wide on 19-cm row centers and 4.6 m long and seeded at a rate of 430 seed m-2. The trials were conducted under typical management practices for dry-seeded drilled rice for Arkansas conditions and did not receive insecticide or fungicide treatments.
Each year 72 rice genotypes were grown in a randomized complete block design with three replications per location. Sixteen of the genotypes were cultivars, and 56 genotypes were experimental lines not previously selected against kernel discolorations. A balanced subset of genotypes was used for this study. Thirty-seven genotypes were common among the two years of testing: 16 cultivars and 21 experimental lines. Southern U.S. rice cultivars are derived from a narrow germplasm base as shown by Dilday (1990) by pedigree analysis and Saghai Maroof et al. (1997) by DNA polymorphism. Thus, the population used in this study was deemed representative of southern U.S. rice germplasm.
The plots were hand harvested when the rice attained 180 to 200 g kg-1 moisture content. The thresher cylinder speed was calibrated to 600 rpm before threshing. The threshed samples were dried overnight at 32°C to
120 g kg-1 moisture content and stored at 15°C and 45% relative humidity.
After drying, a 250-g sample of rough rice was taken from each sample and hulled. The brown rice was passed three times through an electronic sorting machine that separated discolored kernels from other kernels. The discolored kernels were examined with magnification to determine the cause of discoloration. Discolored kernels were placed into three groups: (i) rice stink bug damaged; (ii) kernels infected by the kernel smut pathogen; and (iii) other kernel discolorations such as minor levels of pink, red, or yellow kernel discolorations, brown discolorations on the bran often caused by Helminthosporium spp. (Lee and Tugwell, 1980), and linear damage. The amount of discolored kernels in a category was expressed as a percentage of the total weight of brown rice adjusted to a 100 g kg-1 moisture content.
The data were balanced. Restricted maximum likelihood estimates of the variance components were estimated by the following model:
![]() | (1) |
Heritabilities were calculated by the formula:
![]() | (2) |
2G,
2GY,
2GL,
2GYL, and
2E refer to the G, G x Y, G x L, G x Y x L, and error variances, respectively; y, l, and r refer to the number of years, locations, and replications per location per year, respectively. Heritability on a single-plot basis
was estimated with Y = L = r = 1. Heritability on an entry-mean basis
reflects the annual selection practice and was estimated with Y = 1, L = 3, and r = 3. Heritability and variance component standard errors were estimated as shown by Dickerson (1969). Genetic advance was expressed as a proportion of the experimental mean to compare among the three traits for potential improvement by selection. Genetic advance was estimated for the entry-mean heritability as
. Phenotypic standard deviation (
p) was equated to the square root of the denominator of
. A 10% selection intensity with i = 1.76 was used (Allard, 1960). To test for crossover interactions, all possible quadruple combinations of two genotypes in two environments were constructed (Azzalini and Cox, 1984). The number of possible quadruple combinations for the 37 genotypes and six environments was 9990. The significance of any quadruple depends on the difference of the two genotype means exceeding a critical value LSD (P = 0.05) in one environment, while the negative difference exceeds the critical value in the other environment (Baker, 1990). The LSD values for rice stink bug damage, kernel smut, and all other discolorations was 0.699, 0.149, and 0.437, respectively. The constructed mean square used to test the genotype mean square for significance was used as the error term in determining the LSD. Significant differences between year and location means or at any yearlocation series were determined by the LSD (P = 0.05), using the mean square for replications within locations and years as the error term. Phenotypic correlations (partial correlation coefficients, rp, df = 432) were calculated among the three traits after adjusting for replication, year, and location effects.
Stability analyses were conducted for each trait as described by Kang and Magari (1996) after verifying that the genotype x environment (yearlocation series) interaction was significant. These analyses calculate Shukla's (1972) stability variance statistic and Kang's yield stability statistic. Stability statistics were calculated by a computer program (STABLE) provided by Kang and Magari (1995) that integrates yield and stability performance into a single selection criteria. Their program was run with some modification. For typical yield stability analyses, genotypes are ordered from highest to lowest with low values receiving a Y' value of one. Low values of discolored traits are desirable, unlike yield where high values are desired. For this analysis, genotypes were ordered from lowest to highest for rice stink bug damage, kernel smut, and other discolorations. For ranking of the means (Y'), the highest values received a rank of one.
| Results and discussion |
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For other discolorations, genetic and residual variance components were similar and were larger than the other variance components. The G x Y x L variance was larger than both the G x Y and G x L variance components. Of the three categories for discolored rice kernels, heritability was highest for other discolorations on both the single-plot and entry-mean basis.
We concluded from the analysis of variance that discolorations caused by rice stink bug damage, kernel smut, and other sources are highly subject to GE interactions. The presence of GE interactions will complicate breeding efforts to improve rice kernel quality by decreasing levels of discolored kernels. However, based on genetic advance estimates, selection for improved kernel quality would be easiest for kernel smut followed by other discolorations. Genetic advance for improved resistance to rice stink bug damage through selection would be the most difficult. Multi-year and multi-location screening of new rice experimental lines is essential to adequately account for the GE interactions for the three categories of kernel discolorations.
Further examination of the GE interaction is necessary to determine if the interaction is primarily due to genotype rank changes or magnitude changes. Genotype rank changes would have a more serious effect on selection progress for improving the effects of discolored kernels than would magnitude changes. Rank changes were estimated by the number of crossover interactions. The number of crossover interactions was largest for values of rice stink bug damage and the third category of other discolorations, but <1% of the total possible crossover interactions was found for any category (Table 3). No crossover interactions were detected for kernel smut. The low number of crossover interactions was probably due to the large residual variance and high coefficient of variation (33, 72, and 45% for rice stink bug damage, kernel smut, and other discolorations, respectively). Significant crossover interactions were therefore underestimated due to inflated LSD values for all categories. Both magnitude changes and crossover interactions may be important when screening new experimental lines and cultivars for discolored kernels. To reduce the GE interaction bias for rice stink bug damage, screening in more locations would be helpful. The large G x Y x L variance for kernel smut and other discolorations indicate that additional locations and years would be necessary to decrease bias due to GE interaction.
Although other discolored kernels was significantly correlated with both stink bug damage and kernel smut, the association was weak rp = 0.11 and rp = 0.10 (P < 0.05), respectively. Kernel smut and stink bug damage were not significantly correlated. Strong positive correlations among the three categories would have simplified selection because selecting for low levels of one trait would have lowered levels of the others. Each of the three traits appears to be inherited independently, and selection for reduced levels of discolored kernels must be conducted via independent programs. Selection is necessary to improve rice kernel quality because of the rising demand for improved rice kernel quality in new rice cultivars.
Selection progress begins with the identification of resistant parents. Three cultivars (Drew, Katy, and Kaybonnet) and four experimental lines (RU9201124, RU9201179, RU9201191, and RU9301151) were identified as having stable and low levels for all three kernel discolorations (Table 4) . Katy appears to be an excellent source of resistance to rice stink bug damage, kernel smut, and other discolorations and is a common parent for Drew, Kaybonnet, RU9201124, RU9201179, and RU9201191. One obvious void in this sample of germplasm was a medium-grain genotype with resistance to rice stink bug damage. Evaluation of the USDA rice world collection identified Dular as a medium-grain cultivar with resistance to rice stink bug damage (Bernhardt and Dilday, 1992). Dular, a cultivar from India, has other characteristics that may preclude its widespread use as a parent for breeding resistance to rice stink bug damage, such as red bran, shattering, and poor straw strength.
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| NOTES |
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Received for publication March 22, 1999.
| REFERENCES |
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