Published in Crop Sci. 44:1008-1013 (2004).
© 2004 Crop Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
PLANT GENETIC RESOURCES
Shoot Biomass Production among Accessions of Medicago truncatula Exposed to NaCl
Maren E. Veatch*,a,
Steven E. Smitha and
George Vandemarkb
a School of Renewable Natural Resources, University of Arizona, Tucson, AZ 85721
b USDA-ARS, 24106 North Bunn Rd, Prosser, WA 99350
* Corresponding author (veatchm{at}email.arizona.edu).
 |
ABSTRACT
|
|---|
Increased salt tolerance would improve utilization of salt-sensitive crop plants such as alfalfa (Medicago sativa L.). In order for selection for salt tolerance to be more efficient, it is useful to know whether improved productivity under saline conditions is due to unique physiological responses to salinity or merely the carry over of increased yield that was selected for in a nonsaline environment. Medicago truncatula Gaertn., a self-pollinated relative of alfalfa, was used to examine the response of specific genotypes across a range of salinities. This was done by evaluating the change in fresh shoot biomass production of greenhouse-grown mature plants and seedlings of different accessions of M. truncatula in response to four levels of salinity imposed as NaCl. Those accessions with the highest fresh shoot biomass production under nonsaline irrigation also had the highest fresh shoot biomass production under all salinity levels. The high correlation between an accession's fresh shoot biomass under nonsaline and saline irrigation indicate no unique physiological adaptation to salinity in the accessions of M. truncatula evaluated.
Abbreviations: DAP, days after planting NPGS, National Plant Germplasm System
 |
INTRODUCTION
|
|---|
CROP PRODUCTION IS affected by salinity on approximately one third of the world's nearly 3 x 108 ha of irrigated agricultural land (Apse et al., 1999; Burns et al., 1990; Schachtman and Lui, 1999). The amount of land affected by salinity is increasing (Qadir et al., 1998). A major focus of plant breeding efforts in many areas has been to maintain or improve crop productivity in salt-affected environments, typically by selecting for increased "salt tolerance" (Ashraf, 1994; Epstein, 1985; Nuccio et al., 1999). Maas (1987) defined salt tolerance as either increased (i) plant survival, (ii) yield under saline growth conditions, or (iii) reduced depression in yield under saline conditions relative to that under nonsaline conditions (i.e., increased "relative yield"). Given the spatial and temporal variability in salinity within most agricultural systems, a cultivar with high relative yield would seem to be an ideal short-term solution to permit maintenance of crop production under at least moderate salinity (Igartua, 1995). However, in cases where there is little genetic variation for relative yield within populations, selection has often focused on genotypes that have the highest possible yield over a range of saline environments (Flowers and Yeo, 1995; Igartua, 1995).
Developing selection strategies for improving salt tolerance has not always been straightforward because of the variability typically observed in salinity stress. Rosielle and Hamblin (1981) proposed that the most effective way to increase yield over a range of stressful conditions would be to select for increased yield under nonsaline conditions. They assumed that high crop yield under stress does not require unique stress-specific physiological or developmental processes. Rather, they suggested that high yield is due to improved manifestation of plant traits expressed under essentially all conditions of plant growth. Selection for improved salt tolerance has generally focused on performance under salt stress conditions, and selection for increased yield under saline irrigation has been successful in a variety of crops (Al-Doss and Smith, 1998; Ashraf and Ahmad, 2000; Aslam et al., 1993; Igartua and Garcia, 1998; Kapulnik et al., 1989; Koval, 2000). It is generally not known whether any improvements in salt tolerance were due to improved expression of unique physiological or developmental responses that are specifically triggered by salinity (Borsani et al., 2003), which are expressed as high relative yield. These improvements could also be due to improved overall yield per se of the sort proposed by Rosielle and Hamblin (1981) which is expressed in both stress and nonstress environments. Differentiating these two routes toward stress response is greatly facilitated if individual genotypes can be evaluated across a range of stresses (Falconer and Mackay, 1996). In cases where significant variation in stress tolerance exists, the lack of a positive correlation between performance of a given genotype in stress and nonstress environments could indicate that stress tolerance may be due to unique stress-associated responses. Conversely, consistent performance of a given genotype in comparison to other genotypes across environments would suggest that such stress-associated tolerance mechanisms might not be operating and that selection should focus on improving overall yield in nonstress conditions.
Alfalfa is moderately sensitive to salinity stress, which is typically imposed experimentally as NaCl (Ashraf, 1994; Djilianov et al., 1997; Noble et al., 1984; Zhu et al., 1996). However, the heterozygous, outcrossing nature of alfalfa (Smith, 1993) and the inbreeding depression it displays (Holland and Bingham, 1994) make it difficult to study the response of individual genotypes across a range of salinities. Medicago truncatula, an annual relative of alfalfa, has an outcrossing rate of less than 3% (Bonin et al., 1996) allowing the generation of highly homozygous genotypes and lines (Cook, 1999). Because of its rapid generation time and diploid genome (Cook, 1999), M. truncatula has been used as a model for understanding growth and development in legumes (Jimenez-Zurdo et al., 2000; Oldroyd, 2001; Schoenbeck et al., 1999). Medicago truncatula may also be a good model for understanding salt response in alfalfa and other legumes. The objective of this research was to evaluate forage yield in M. truncatula under salt stress and determine if the resulting yield is due to a response triggered by salt stress or merely the result of increased yield potential per se. Understanding more about the basis for salt tolerance would permit the use of more appropriate selection environments and therefore improve selection efficiency. This research involved separate evaluations of shoot biomass of greenhouse-grown mature plants and seedlings of several M. truncatula genotypes irrigated with saline solutions ranging from 0 to 115 mM NaCl.
 |
MATERIALS AND METHODS
|
|---|
All M. truncatula seed used were obtained from the United States Department of Agriculture National Plant Germplasm System (NPGS), Western Regional Plant Introduction Center, Pullman, WA. Individual accessions were treated as pure lines because of the high level of self pollination in M. truncatula (Bonin et al., 1996). Seeds were scarified by rubbing between medium grain and fine-grain sandpaper, and were stored at 20°C for approximately 1 to 7 d before planting. The growth medium was an artificial soil consisting of Sunshine Mix (Sun Gro Inc.) and sand (3:1 V: V ratio). Soil was put in 3.8- by 21-cm cylindrical containers ("conetainers," SC-10 Super Cell, Stuewe and Sons, Inc., Corvallis, OR), which were filled and compacted to a volume of 120 mL leaving 25 mm of headspace (Johnson, 1990).
All plants were grown in a greenhouse at the Campus Agricultural Center at the University of Arizona, Tucson, AZ, without supplemental lighting. Two studies were conducted in a randomized complete block design arranged as a split plot with salinity level as the main plot factor and accession (genotype) as the subplot factor. The saline irrigation solutions were a 0.25 x Hoagland's solution (Hoagland and Arnon, 1950) with concentrations of NaCl of 0, 50, 75, and 115 mM. Twenty M. truncatula accessions and one alfalfa population were evaluated. Eight of the M. truncatula accessions were from the core collection for annual Medicagos of the NPGS. The other 12 accessions were chosen on the basis of their fresh shoot biomass after 38 d of growth in a preliminary study that involved 91 randomly chosen accessions that were exposed to salinity of 0 and 75 mM NaCl for 24 d (M.E. Veatch, unpublished results). The accessions included from this preliminary study were selected in the following way: the top three highest biomass producing accessions under nonsaline irrigation (PI 577602, W6 6079, W6 6021), the three lowest biomass producing accessions under nonsaline irrigation (PI 464816, W6 6103, W6 6102), three of the highest biomass producing accessions under 75 mM NaCl irrigation (PI 190082, PI 577643, W6 6078), and three accessions with some of the highest relative yields with moderate biomass production (PI 493295, PI 577639, PI 577614). Selection was done this way to cover a range of yield potential in M. truncatula. The alfalfa population used was AZ-97 MEC-ST, which was derived from two cycles of selection for high forage yield under saline irrigation conditions (Al-Doss and Smith, 1998). Alfalfa, unlike M. truncatula accessions, is outcrossing and this population was presumably more genetically and phenotypically variable. There were 10 replications with two plants of each accession per replication in both studies.
Mature Plant Study
This study was conducted from November 2000 to January 2001. The mean high and low greenhouse temperatures were 28.9 and 6.0°C. Five seeds were sown in each conetainer and covered with 7 mL of dry unwashed sand. All seeds were irrigated with tap water (0 mM NaCl) until 15 d after planting (DAP). Plants were thinned to one per conetainer 14 DAP and the number of true leaves for the remaining plant recorded. At 15 DAP those plants not assigned to irrigation with the 0 mM NaCl treatment were irrigated with the 50 mM NaCl solution followed by irrigation with the assigned saline solution (50, 75, or 115 mM NaCl) 2 d later. A one-conetainer border of M. truncatula Jemalong was placed on the outer edge of the experimental plants and was irrigated with the assigned irrigation solution of the adjacent plants. Irrigation occurred every 3 d and involved wetting the soil to beyond field capacity. Fifty-six DAP the aboveground shoot biomass was cut at the soil line and its fresh weight recorded. Fresh weight was used as a measure of shoot biomass since shoot dry weight was previously shown to be significantly correlated with shoot fresh weight in mature plants (52 DAP) of M. truncatula (R = 0.93) (M.E. Veatch, unpublished results).
The original study of effect of salinity on the selected accessions was conducted June through August 2000 minus the 115 mM NaCl treatment. The rank correlation data were similar to that obtained in the winter study (Table 1); however, the effect of salinity on biomass was not as pronounced or clear as was expected (M.E. Veatch, unpublished data). The November 2000 to January 2001 study was conducted with the additional salinity level (115 mM NaCl) in an attempt to obtain a more definitive picture of how increasing NaCl affects biomass production and to increase the stress response of the selected accessions.
View this table:
[in this window]
[in a new window]
|
Table 1. Spearman's rank correlation between shoot biomass produced under 0 mM NaCl by 20 M. truncatula accessions and one alfalfa population and biomass produced under 50, 75, and 115 mM NaCl, and the rank correlation between mature plants and seedlings at each salinity level.
|
|
Seedling Study
The study was conducted in April 2001, with mean high and low outside temperatures at the Campus Agricultural Center being 26.7 and 8.9°C., with the greenhouse temperatures being typically 1 to 2°C higher. Before sowing, seed mass was estimated by weighing four random samples of 20 seeds from each accession. Seeds of different accessions of M. truncatula germinate at very different speeds. Since the goal was to evaluate differences in biomass accumulation in seedlings under NaCl, and not to evaluate differences in germination under NaCl, dry seeds were not directly planted into the wetted growth medium. Rather, seeds were germinated on filter paper wetted with 4 mL of a 0.02% (w/v) solution of captan [N-(trichloromethylthio)cyclohex-4-ene-1,2-dicarboximide] and tap water in Petri plates placed in selfsealing clear plastic bags with wetted paper towels for 2 d at 25°C in the dark. On the basis of differences in germination speed, seeds of different accessions were placed on filter paper on different days such that all the seedlings were at the same developmental stage on the day when they were to be placed in the soil. All seedlings were transplanted into soil that had either been wetted with the 0 mM NaCl solution or the 50 mM NaCl solution. Seedlings had radicles 5 to 8 mm long at this time and were placed radicle down with the cotyledons at the soil surface with a flat metal spatula. The soil was then gently compacted around the radicle. All plants were irrigated with the assigned saline solution 2 d following transplanting. At the third trifoliate leaf stage in alfalfa axillary meristems often become active, which is considered the initiation of mature plant growth (Meyer, 1999). All seedlings within a replication were harvested when the most rapidly developing accession in that replication reached the third trifoliate leaf stage, which occurred 15 to 17 d after sowing. At harvest the number of leaves and the fresh shoot biomass of each plant were recorded. As there were no previous data on the correlation between fresh and dry biomass in seedlings, each plant was then placed in a manila envelope and dried at 85°C for 3 d and its dry weight recorded.
Data Analyses
Data for the alfalfa population were included with the M. truncatula accessions during statistical analysis. Shoot biomass values for both studies were analyzed by multifactor analysis of variance in JMP (Fit Model Platform, Sall et al., 2001). Relative yield values for each study were calculated by dividing the mean shoot biomass of both plants of an accession within a replication under 50, 75, or 115 mM NaCl irrigation by the overall mean shoot biomass of that accession under 0 mM NaCl irrigation. In analyzing shoot biomass of mature plants, the leaf number on the day before saline irrigation began was used as a covariate to normalize for differences in size at the start of treatment. For seedling data, covariates were leaf number at the time of harvest and mean seed mass of the accession. The relationships between an individual accession's mean shoot biomass under different salinity levels, and between an accession's mean shoot biomass as a mature plant and as a seedling were analyzed by Spearman's Rank Correlation (Multivariate Platform in JMP, Sall et al., 2001). P values
0.05 were considered significant throughout.
 |
RESULTS
|
|---|
Mature Plant Study
As the concentration of NaCl in the irrigation solution increased, mean shoot biomass decreased significantly. The overall trend was that irrigation with a 115 mM NaCl solution decreased mean shoot biomass by over 46% relative to that with nonsaline irrigation (Table 2). In addition to the overall differences in shoot biomass among treatments, there were significant differences in shoot biomass between M. truncatula accessions within each treatment. Accessions 6079 and 464816 consistently had the highest and lowest fresh shoot biomass, respectively, over all treatments (Table 2). With few exceptions the relative rank of the mean fresh shoot biomass of the accessions remained consistent across salt treatments (Table 2). Between the rank of an accession under nonsaline irrigation and its rank under each of the three levels of saline irrigation for both plants grown in the summer and the winter there was a positive correlation (Table 1).
View this table:
[in this window]
[in a new window]
|
Table 2. Mean shoot fresh weight (±SE) (g plant1) and relative yield of mature plants of 20 M. truncatula accessions and an M. sativa irrigated with four nutrient solutions (0, 50, 75, and 115 mM NaCl) sorted by biomass under nonsaline irrigation (0 mM NaCl).
|
|
Analysis of variance indicated a significant interaction (p < 0.001) between salinity level and accession for relative yield. However, there were no significant differences between mean relative yields among the M. truncatula accessions (Table 2). The only significant difference in mean relative yield was between AZ-97 MEC-ST, and M. truncatula accession 566889, under irrigation with 115 mM NaCl (Table 2).
Seedling Study
Fresh shoot biomass was highly correlated with dry weight (r = 0.96); therefore, only the fresh shoot biomass and relative yield data is shown (Table 3). Increasing salinity in the nutrient solution decreased mean fresh shoot biomass by an average of 38% under 75 mM NaCl treatment relative to that under 0 mM NaCl. An increased NaCl concentration in the irrigation solution (115 mM NaCl) caused no further significant decrease in shoot biomass (Table 3).
View this table:
[in this window]
[in a new window]
|
Table 3. Mean shoot biomass (±SE) (mg plant1) and relative yield of seedlings of 20 M. truncatula accessions and an M. sativa irrigated with four nutrient solutions (0, 50, 75, and 115 mM NaCl) sorted by biomass under nonsaline irrigation (0 mM NaCl).
|
|
Within salt treatments there were significant differences among accessions for fresh shoot biomass (Table 3). As seen in mature plants, accession 6079 had the highest fresh shoot biomass under all treatments and accession 464816 the lowest (Table 3). There was also a positive rank correlation between mean fresh shoot biomass of the accessions under nonsaline and saline irrigation (Table 1).
The only significant differences in relative yields among accessions were between the accession with the highest relative yield (384648) and the M. truncatula accessions with the lowest relative yield values at the 75 and 115 mM NaCl levels, which were 566889 and 464816 respectively (Table 3). In addition to the significant rank correlations between treatments, there was a positive correlation between mature plants and seedlings at each salinity level (Table 1).
 |
DISCUSSION
|
|---|
Salt tolerance can be expressed as increased overall yield or increased relative yield (Maas, 1987). Even though there was significant variation among accessions' shoot biomass under saline irrigation, we observed little evidence of differences in relative yield among M. truncatula accessions (Tables 2 and 3). Any differences in relative yield were between M. truncatula accessions with the lowest relative yield and the genotype with the highest relative yield, which was alfalfa in the mature plants (Table 2) or the M. truncatula accession with the highest relative yield in the seedlings (Table 3).
The lack of differences in relative yield among M. truncatula accessions examined provides evidence against the existence of a specific and unique physiological response to salinity in this species. This is also supported by the positive correlations between an accession's biomass production under nonsaline irrigation and under the three levels of saline irrigation (Table 1). This is further supported by the positive rank correlations in shoot biomass between seedlings and mature plants (Table 1). Although we examined M. truncatula genotypes displaying a range of yield potential, there is a possibility that there are unique adaptations in M. truncatula that are in one of the accessions not evaluated. Both M. truncatula and alfalfa are native to areas where water stress is encountered but salt stress is uncommon (Clarkson and Russell, 1976; Heyn, 1963; Lesins and Lesins, 1979; Little et al., 1992). The few differences in relative yield and the high rank correlations of accessions across environments may simply be the result of little history of natural selection for growth under saline conditions. These results suggest that advances in the improvement of M. truncatula yields could be simplified by selecting for the highest possible yields in a nonsaline environment.
 |
ACKNOWLEDGMENTS
|
|---|
The authors wish to acknowledge the technical assistance of Debi Fendenheim. This research was supported by a Cooperative Agreement between the USDA-ARS and the Arizona Agricultural Experiment Station.
 |
NOTES
|
|---|
Research supported by USDA-ARS and Arizona Agricultural Experiment Station.
Received for publication September 4, 2003.
 |
REFERENCES
|
|---|
- Al-Doss, A., and S.E. Smith. 1998. Registration of AZ-97MEC and AZ-97MEC-ST very non-dormant alfalfa germplasm pools with increased shoot weight and differential response to saline irrigation. Crop Sci. 38:568.[Free Full Text]
- Apse, M.P., G.S. Aharon, W.A. Snedden, and E. Blumwald. 1999. Salt tolerance conferred by over expression of a vacuolar Na+/H+ antiport in Arabidopsis. Science 285:12561258.[Abstract/Free Full Text]
- Aslam, M., R.H. Qureshi, and N. Ahmed. 1993. A rapid screening technique for salt tolerance in rice (Oryza sativa L.). Plant Soil 150:99107.
- Ashraf, M. 1994. Breeding for salinity tolerance in plants. Crit. Rev. Plant Sci. 13:1742.
- Ashraf, M., and S. Ahmad. 2000. Influence of sodium chloride on ion accumulation, yield components and fiber characteristics in salt-tolerant and salt-sensitive lines of cotton (Gossypium hirsutum L.). Field Crops Res. 66:115127.
- Bonin, I., T. Huguet, M. Gherardi, J. Prosperi, and I. Olivieri. 1996. High level of polymorphism and spatial structure in a selfing plant species, Medicago truncatula (Leguminosae), shown using RAPD markers. Am. J. Bot. 83:843855.
- Borsani, O., V. Vlapuesta, and M.A. Botella. 2003. Developing salt tolerant plants in a new century: A molecular biology approach. Plant Cell Tissue Organ Cult. 73:101115.
- Burns, G., T.C. Billard, and K.M. Matsui. 1990. Salinity threat to Upper Egypt. Nature 344:25.
- Clarkson, N.M., and J.S. Russell. 1976. Effect of water stress on the phasic development of annual Medicago species. Aust. J. Agric. Res. 27:227234.
- Cook, D.R. 1999. Medicago truncatulaa model in the making. Curr. Opin. Plant Biol. 2:301304.[ISI][Medline]
- Djilianov, D., R. Dragiiska, R. Yordanova, V. Doltchinkova, Y. Yordanov, and A. Atanoassov. 1997. Physiological changes in osmotically stressed detached leaves of alfalfa genotypes selected in vitro. Plant Sci. 129:147156.
- Epstein, E. 1985. Salt-tolerant crops: Origins, development, and prospects of the concept. Plant Soil 89:187198.
- Falconer, D.S., and T.F.C. Mackay. 1996. Variance. p. 134142. Introduction to quantitative genetics. 4th ed. Longman Group Limited, Essex, UK.
- Flowers, T.J., and A.R. Yeo. 1995. Breeding for salinity resistance in crop plants: Where next? Aust. J. Plant Physiol. 22:875884.[ISI]
- Heyn, C.C. 1963. Section Spirocarpus. p. 95103. The annual species of Medicago. Scripta Hierosolymitana vol. XII. Goldberg's Press, Jerusalem.
- Hoagland, D.R., and D.I. Arnon. 1950. The water-culture method for growing plants without soil. California Agric. Exp. St. Circ. 347.
- Holland, J.B., and E.T. Bingham. 1994. Genetic improvement for yield and fertility in alfalfa cultivars representing different eras of breeding. Crop Sci. 34:953957.[Abstract/Free Full Text]
- Igartua, E. 1995. Choice of selection environment for imporving crop yields in saline areas. Theor. Appl. Genet. 91:10161021.
- Igartua, E., and M.P. Garcia. 1998. Divergent selection for salinity tolerance at the germination-emergence stage in grain sorghum. Maydica 43:161168.
- Jimenez-Zurdo, J.I., F. Frugier, M.D. Crespi, and A. Kondrosi. 2000. Expression profiles of 22 novel molecular markers for organogenetic pathways acting in alfalfa nodule development. Mol. Plant Microbe Interact. 13:96106.[ISI][Medline]
- Johnson, D.W. 1990. Stress productivity in alfalfa: Selection under saline and non-saline environmental conditions. Ph.D. dissertation (Diss. abstr. 9103038). Univ. of Arizona, Tucson.
- Kapulnik, Y., L.R. Teuber, and D.A. Phillips. 1989. Lucerne (Medicago sativa L.) selected for vigor in a nonsaline environment maintained growth under salt stress. Aust. J. Agric. Res. 40:12531259.
- Koval, V.S. 2000. Male and female gametophyte selection of barley for salt tolerance. Heriditas 132:15.[ISI][Medline]
- Lesins, K.A., and I. Lesins. 1979. General key to Medicago species. p. 166170. Genus Medicago (Leguminosae): A taxogenetic study. Kluwer, Boston.
- Little, I.P., C.J. Chartres, and R.R. Young. 1992. The relationship of soil properties to the growth of barrel medic at Condobolin, New South Wales. Aust. J. Soil Res. 30:371382.
- Maas, E.V. 1987. Salt tolerance of plants. p. 5775. In B.R. Christie (ed.) CRC handbook of plant science in agriculture vol II. CRC Press Inc., Boca Raton, FL.
- Meyer, D. 1999. Alfalfaseed germinationseedling growthvegetative development. http://www.ext.nodak.edu/extpubs/plantsci/hay/r648w.htm; verified 9 January 2004.
- Noble, C.L., G.M. Halloran, and D.W. West. 1984. Identification and selection for salt tolerance in Lucerne (Medicago sativa L.). Aust. J. Agric. Res. 35:239252.
- Nuccio, M.L., D. Rhodes, D. McNeil, and A.D. Hanson. 1999. Metabolic engineering of plants for osmotic stress resistance. Curr. Opin. Plant Biol. 2:128134.[ISI][Medline]
- Oldroyd, G.E.D. 2001. Dissecting symbiosis: Developments in Nod factor signal transduction. Ann. Bot. (London) 87:709718.[Abstract/Free Full Text]
- Qadir, M., R.H. Qureshi, and N. Ahmad. 1998. Horizontal flushing: A promising ameliorative technology for hard saline-sodic and sodic soils. Soil Tillage Res. 45:119131.
- Rosielle, A.A., and J. Hamblin. 1981. Theoretical aspects of selection for yield in stress and non-stress environments. Crop Sci. 21:943946.[Abstract/Free Full Text]
- Sall, J., A. Lehman, and L. Creighton. 2001. JMP start statisticsA guide to statistics and data analysis using JUMP and JMP IN software. SAS Institute Inc., Cary, NC.
- Schachtman, D., and W. Lui. 1999. Molecular pieces to the puzzle of the interaction between potassium and sodium uptake in plants. Trends Plant Sci. 4:281287.[ISI][Medline]
- Schoenbeck, M.A., D.A. Samac, M. Fedorova, R.G. Gregerson, J.S. Gantt, and C.P. Vance. 1999. The alfalfa (Medicago sativa) TDY1 gene encodes a mitogen-activated protein kinase homolog. Mol. Plant Microbe Interact. 12:882893.[ISI][Medline]
- Smith, S.E. 1993. Salinity and the production of alfalfa (Medicago sativa L.). p. 431448. In M. Pesarkli (ed.) Handbook of crop stress. Marcel Dekker, Inc., New York.
- Zhu, U., C.C. Sheaffer, and D.K. Barnes. 1996. Forage yield and quality of six annual Medicago species in north-central USA. Agron. J. 88:955960.[Abstract/Free Full Text]
Related articles in Crop Science:
- THIS ISSUE IN CROP SCIENCE
Crop Science 2004 44: 707-710.
[Full Text]