Abstract
Knowledge of genetic diversity could aid in providing useful information in the selection of material for breeding such as hybridization programs and quantitative trait loci mapping. The present study was conducted to evaluate salinity tolerance of Iranian rice varieties. This research was carried out in three separate experiments (control, 6 and 12 dS m−1 NaCl) each based on completely randomized design with 44 rice varieties and three replications. Fourteen days after salt treatments, root and shoot fresh and dry weight, Na+ and K+ concentration, Na+/K+ ratio, root and shoot length, biomass gain, total fresh weight, root/shoot length ratio and shoot/root weight ratio were measured. The varieties were also genotyped for 12 closely linked microsatellite markers to SalTol. Haplotype and association analysis was conducted using these SSR markers for identification of loci related to salt tolerance. The tolerance scores under salinity stress showed that the varieties FL478, Hassani, Gharib, Shahpasand, Nemat, Domzard, Ghasroddashti, Ahlamitarom, Hassansaraee and Binam with more biomass, root and shoot lengths, and low Na+/K+ ratio were tolerant to salinity stress. Association analysis was indicated that there are some informative markers on chromosome 1 in the local and improved Iranian rice varieties genetic background including RM8094, RM1287, AP3206 and RM3412 explaining considerable percentage of the salt tolerance-related traits. These informative markers can be used in future breeding programs such as marker-assisted selection.
Similar content being viewed by others
References
Affifi A, Clark VA, May S (2004) Computer-aided multivariate analysis, 4th edn. Chapman and Hall/CRC, Boca Raton
Akbar M, Yabuno Y, Nakao S (1972) Breeding for saline resistant varieties of rice. Variability for salt tolerance among some rice varieties. Jap J Breed 22:277–284
Akhtar S, Wahid A, Rasul E (2003) Emergence, growth and nutrient composition of sugarcane sprouts under NaCl salinity. Biol Pl 46:113–116
Aktas H, Abak K, Cakmak I (2006) Genotypic variation in the response of pepper to salinity. Sci Hort 110:260–266
Anderson JA, Churchill GA, Autrique JE, Tanksley SD, Sorrells ME (1993) Optimization parental selection for genetic linkage maps. Genome 36:181–186
Ashraf M, Athar HR, Harris PJC, Kwon TR (2008) Some prospective strategies for improving crop salt tolerance. Advanced Agron 97:45–110
Ashraf MY, Awan AR, Mahmood K (2012) Rehabilitation of saline ecosystems through cultivation of salt tolerant plants. Pakistan J Bot 44:69–75
Baraket G, Chatti K, Saddoud O, Abdelkarim AB, Mars M, Trifi M, Hannachi AS (2011) Comparative assessment of SSR and AFLP markers for evaluation of genetic diversity and conservation of fig, Ficus carica L., genetic resources in Tunisia. Pl Molec Biol Rep 29:171–184
Barrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21:263–265
Bonilla PS, Dvorak J, Mackill D, Deal K, Gregorio G (2002) RFLP and SSLP mapping of salinity tolerance genes in chromosome 1 of rice (Oryza saliva L.) using recombinant inbred lines. Philipp Agric Sci 85:64–74
Chartzoulakis K, Klapaki G (2000) Response of two greenhouse pepper hybrids to NaCl salinity during different growth stages. Sci Hort 86:247–260
Davierwala AP, Chowdari KV, Kumar S, Reddy APK, Ranjekar PK, Gupta VS (2000) Use of three different marker systems to estimate genetic diversity of Indian elite rice varieties. Genetica 108:269–284
Deivanai S, Xavier R, Vinod V, Timalata K, Lim OF (2011) Role of exogenous proline in ameliorating salt stress at early stage in two rice cultivars. J Stress Physiol Biochem 7:157–174
Elahi CMF, Seraj ZI, Rasul NM, Das KC, Biswas K, Salam MA, Gomosta AR, Tumimbang E, Adorada D, Gregorio G, Bennett J (2004) Breeding rice for salinity tolerance using the Pokkali allele: finding a linked DNA marker. In: Islam AS (ed) In vitro culture, transformation and molecular markers for crop improvement. Science Publishers, Enfield, pp 157–170
Farhoudi R, Hussain M, Lee DJ (2012) Modulation of enzymatic antioxidants improves the salinity resistance in canola (Brassica napus). Int J Agric Biol 14:465–468
Fernandez GCJ (1992) Effective selection criteria for assessing stress tolerance. In: Kuo CG (ed) Proceedings of the international symposium on adaptation of vegetables and other food crops in temperature and water stress. Asian Vegetable Research and Development Centre, Taiwan
Fischer RA, Maurer R (1978) Drought resistance in spring wheat cultivars. I. Grain yield responses. Austral J Agric Res 29:897–912
Ghomi Kh, Rabiei B, Sabouri H, Sabouri A (2013) Mapping QTLs for traits related to salinity tolerance at seedling stage of rice (Oryza sativa L.): an agrigenomics study of an Iranian rice population. OMICS J Integr Biol 17:242–251
Gregorio GB (1997) Tagging salinity tolerance genes in rice using amplified fragment length polymorphism (AFLP). PhD Thesis, University of the Philippines, Los Baños
Gregorio GB, Senadhira D, Mendoza R (1997) Screening rice for salinity tolerance. IRRI discussion paper no.22, IRRI, Los Banos
Gregorio GB, Senadhira D, Mendoza RD, Manigbas NL, Roxas JP, Guerta CQ (2002) Progress in breeding for salinity tolerance and associated abiotic stresses in rice. Field Crops Res 76:91–101
Hossain ABS, Sears RG, Cox TS, Paulsen GM (1990) Desiccation tolerance and its relationship to assimilate partitioning in winter wheat. Crop Sci 30:622–627
Hosseini SJ, Tahmasebi Sarvestani Z, Pirdashti H (2012) Analysis of tolerance indices in some rice (Oryza sativa L.) genotypes at salt stress condition. Int Res J Appl Basic Sci 3:1–10
Huchzermeyer B, Koyro HW (2005) Salt and drought stress effects on photosynthesis. In: Pessarakli M (ed) Handbook of plant and crop stress, 2nd edn. Marcel Dekker Inc, New York
Hussain M, Farooq M, Shehzad M, Khan MB, Wahid A, Shabir G (2012) Evaluating the performance of elite sunflower hybrids under saline conditions. Int J Agric Biol 14:131–135
IBM Corp (2010) IBM SPSS Statistics for Windows, Version 19.0. IBM Corp, Armonk, NY
Institute SAS (2010) Base SAS 9.2 procedures guide: statistical procedures, 3rd edn. SAS Institute Inc, Cary
IRRI (1996) Standard evaluation system for rice, 4th edn. INGER Genetics Resource Centre, IRRI, Manila, pp 1–30
IRRI (2011) International Rice Research Institute, Philippines. Available at: http://www.irri.org. Accessed 20 Mar 2016
Islam MM (2004) Mapping salinity tolerance genes in rice (Oryza sativa L.) at reproductive stage. PhD thesis, University of the Philippines, Philippines
Islam MR, Salam MA, Hassan L, Collard BCY, Singh RK, Gregorio GB (2011) QTL mapping for salinity tolerance at seedling stage in rice. J Food Agric 23:137–146
Jafar MZ, Farooq M, Cheema MA, Afzal I, Basra SMA, Wahid MA, Aziz T, Shahid M (2012) Improving the performance of wheat by seed priming under saline conditions. J Agron Crop Sci 198:38–45
Kar PK, Srivastava PP, Awasthi AK, Urs SR (2008) Genetic variability and association of ISSR markers with some biochemical traits in mulberry (Morus spp.) genetic resources available in India. Tree Genet Genomes 4:75–83
Khayyat M, Vazifeshenas MR, Rajaee S, Jamalian S (2009) Potassium effect on ion leakage, water usage, fruit yield and biomass production by strawberry plants grown under NaCl stress. J Fruit Ornam Pl Res 17:79–88
Kumar V, Shriram V, Nikam TD, Jawaliand N, Shitole MG (2008) Sodium chloride induced changes in mineral elements in indica rice cultivars differing in salt tolerance. J Pl Nutr 3:1999–2017
Kumar V, Shriram V, Nikam TD, Jawaliand N, Shitole MG (2009) Antioxidant enzyme activities and protein profiling under salt stress in indica rice genotypes differing in salt tolerance. Arch Agron Soil Sci 55:379–394
Lee SY, Ahn JH, Cha YS, Yun DW, Lee MC, Ko JC, Lee KS, Eun MY (2007) Mapping QTLs related to salinity tolerance of rice at the young seedling stage. Pl Breed 126:43–46
Lee S, Abecasis GR, Boehnke M, Lin X (2014) Rare-variant association analysis: study designs and statistical tests. Amer J Human Genet 95:5–23
Lin HX, Zhu MZ, Yano M, Gao JP, Liang ZW, Su WA, Hu XH, Ren ZH, Chao DY (2004) QTLs for Na+ and K+ uptake of the shoots and roots controlling rice salt tolerance. Theor Appl Genet 108:253–260
Liu S, Anderson JA (2003) Targeted molecular mapping of a major wheat QTL for Fusarium head blight resistance using wheat ESTs and synteny with rice. Genome 46:817–823
Liu K, Muse SV (2005) Power Marker: integrated analysis environment for genetic marker data. Bioinformatics 21:2128–2129
López-Aguilar R, Medina-Hernández D, Ascencio-Valle F, Troyo-Dieguez E, Nieto-Garibay A, Arce-Montoya M, Larrinaga-Mayoral JA, Gómez-Anduro GA (2012) Differential responses of Chiltepin (Capsicumannuum var. glabriusculum) and Poblano (Capsicumannuum var. annuum) hot peppers to salinity at the plantlet stage. African J Biotech 11:2642–2653
Lycoskoufis I, Savvas D, Mavrogianopoulos G (2005) Growth, gas exchange, and nutrient status in pepper (Capsicum annuum L.) grown in recirculating nutrient solution as affected by salinity imposed to half of the root system. Sci Hort 106:147–161
Mantel N (1967) The detection of disease clustering and generalized regression approach. Cancer Res 27:209–220
Mardani Z, Rabiei B, Sabouri H, Sabouri A (2014) Identification of molecular markers linked to salt-tolerant genes at germination stage of rice. Pl Breed 133:196–202
Mazher AMA, El-Quesni EMF, Farahat MM (2007) Responses of ornamental and woody trees to salinity. World J Agric Sci 3:386–395
McCartney CA, Sommers DJ, Fedak G, Cao W (2004) Haplotype diversity at Fusarium head blight resistance QTLs in wheat. Theor Appl Genet 109:261–271
Mohammadi-Nejad G, Singh RK, Arzani A, Rezaie AM, Sabouri H, Gregorio GB (2010) Evaluation of salinity tolerance in rice genotypes. Int J Pl Prod 4:199–208
Munns R (2002) Comparative physiology of salt and water stress. Pl Cell Environ 25:239–250
Navabian M, Aghajani M (2012) Evaluating the effect of fresh and saline water irrigation management on Hashemi rice yield. J Water Soil Sci 16:45–54
Nazar R, Iqbal N, Masood A, Syeed S, Khan NA (2011) Understanding the significance of sulfur in improving salinity tolerance in plants. Environm Exp Bot 70:80–87
Nazari L, Pakniyat H (2010) Assessment of drought tolerance in barley genotypes. J Appl Sci 10:151–156
Neeraja CN, Sarla N, Siddiq EA (2002) RAPD analysis of genetic diversity in Indian landraces of rice (Oryza sativa L). J Pl Biochem Biotechnol 11:93–97
Nei M, Tajima F, Tateno Y (1983) Accuracy of estimated phylogenetic trees from molecular data II. Gene frequency data. J Molec Evol 19:153–170
Niones JM (2004) Fine mapping of the salinity tolerance gene on chromosome 1 of rice (Oryza sativa L.) using near-isogenic lines. MSc Dissertation, University of the Philippines, Philippines
Panaud O, Chen X, McCouch SR (1996) Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.). Molec Gen Genet 252:597–607
Paranychianakis N, Chartzoulakis K (2005) Irrigation of Mediterranean crops with saline water: from physiology to management practices. Agric Ecosyst Environ 106:171–187
Perrier X, Jacquemoud-Collet JP (2006) DARwin software. Available at: http://darwin.cirad.fr/. Accessed 20 Mar 2016
Ping A, Inanaga S, Li XJ, Eneji AE, Zhu NW (2005) Interactive effects of salinity and air humidity on two tomato cultivers differing in salt tolerance. J Pl Nutr 28:459–473
Powell W, Morgante M, Andre C, Hanafey M, Vogel J, Tingey S, Rafalski A (1996) The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Molec Breed 2:225–238
Prasad SR, Bagali PG, Hittalmani S, Shashidhar HE (2000) Molecular mapping of quantitative trait loci associated with seedling tolerance to salt stress in rice (Oryza sativa L.). Curr Sci 78:162–164
Purnendu G, Mannan MA, Pal PS, Hossain MM, Parvin S (2004) Effect of Salinity on Some Yield Attributes of Rice. Pakistan J Biol Sci 7:760–762
Quinet M, Ndayiragije A, Lefevre I, Lambillotte B, Dupont-Gillain CC, Lutts S (2010) Putrescine differently influences the effect of salt stress on polyamine metabolism and ethylene synthesis in rice cultivars differing in salt resistance. J Exp Bot 61:2719–2733
Rabbani MA, Pervaiz ZH, Masood MS (2008) Genetic diversity analysis of traditional and improved cultivars of Pakistani rice (Oryza sativa L.) using RAPD markers. Electronic J Biotechnol 11:1–10
Ren F, Lu B, Li S, Huang J, Zhu YA (2003) Comparative study of genetic relationships among the AA genome Oryza species using RAPD and SSR markers. Theor Appl Genet 108:113–120
Rengasamy P (2010) Soil processes affecting crop production in salt-affected soils. Austral J Soil Res 37:613–620
Romesburg HC (2004) Cluster analysis for researchers. Morrisville, NC. Available at: http://lulu.com/. Accessed 20 Mar 2016
Rosielle AA, Hamblin J (1981) Theoretical aspects of selection for yield in stress and non-stress environments. Crop Sci 21:943–946
Roy SN, Bargmann RE (1958) Tests of multiple independence and the associated condense-bounds. Ann Math Stat 29:491–503
Rubio J, Garcia-Sanchez F, Rubio F, Martinez V (2009) Yield, blossom-end rot incidence, and fruit quality in pepper plants under moderate salinity are affected by K+ and Ca2+ fertilization. Sci Hort 119:79–87
Saghai-Maroof MA, Soliman KM, Jorgesen RA, Allard RW (1984) Ribosomal DNA spacer-length polymorphisms in barley: Mendelian inheritance, chromosomal location and population dynamics. Proc Natl Acad Sci USA 81:8014–8018
Saker MM, Youssef SS, Abdallah NA, Bashandy HS, Elsharkawy AM (2005) Genetic analysis of some Egyptian rice genotypes using RAPD, SSR and AFLP. African J Biotech 4:882–890
Shi Y, Wang Z, Meng P, Tian S, Zhang X, Yang S (2013) The glutamate carboxypeptidase AMP1 mediates abscisic acid and abiotic stress responses in Arabidopsis. New Phytol 199:135–150
Singh RK, Gregorio GB, Jain RK (2007) QTL mapping for salinity tolerance in rice. Physiol Molec Biol Pl 13:87–99
Thomson MJ, Ocampo Md, Egdane J et al (2010) Characterizing the saltol quantitative trait locus for salinity tolerance in rice. Rice 3:148–160
Varshney RK, Chabane K, Hendre PS, Aggarwal RK, Graner A (2007) Comparative assessment of EST-SSR, EST-SNP and AFLP markers for evaluation of genetic diversity and conservation of genetic resources using wild, cultivated and elite barleys. Pl Sci 173:638–649
Yoshida S (1981) Fundamentals of rice crop science, 1st edn. IRRI, Los Banos
Ziaf K, Amjad M, Pervez MA, Iqbal Q, Rajwana IA, Ayub M (2009) Evaluation of different growth and physiological traits as indices of salt tolerance in hot pepper (Capsicum annuum L.). Pakistan J Bot 41:1797–1809
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Handling editor: Eric Schranz.
Electronic supplementary material
Below is the link to the electronic supplementary material.
606_2016_1304_MOESM2_ESM.pdf
Supplementary material 2 Online Resource 2. Standard evaluation system of the visual salt injury at rice seedling stage (Gregorio et al. 1) (PDF 85 kb)
606_2016_1304_MOESM4_ESM.pdf
Supplementary material 4 Online Resource 4. Mean comparison of genotype × environment interaction for some morphological and physiological traits of rice seedlings under three salinity conditions. (PDF 243 kb)
606_2016_1304_MOESM5_ESM.pdf
Supplementary material 5 Online Resource 5. Mean comparison of genotype × environment interaction for some morphological and physiological traits of rice seedlings under three salinity conditions. (PDF 215 kb)
606_2016_1304_MOESM6_ESM.pdf
Supplementary material 6 Online Resource 6. Mean comparison of genotype × environment interaction for some morphological and physiological traits of rice seedlings under three salinity conditions. (PDF 264 kb)
606_2016_1304_MOESM7_ESM.pdf
Supplementary material 7 Online Resource 7. Mean comparison of genotype × environment interaction for some morphological and physiological traits of rice seedlings under three salinity conditions. (PDF 253 kb)
606_2016_1304_MOESM8_ESM.pdf
Supplementary material 8 Online Resource 8. Mean comparison of genotype × environment interaction for some morphological and physiological traits of rice seedlings under three salinity conditions. (PDF 246 kb)
606_2016_1304_MOESM9_ESM.pdf
Supplementary material 9 Online Resource 9. Mean comparison of genotype × environment interaction for some morphological and physiological traits of rice seedlings under three salinity conditions. (PDF 249 kb)
606_2016_1304_MOESM10_ESM.pdf
Supplementary material 10 Online Resource 10. Correlation coefficients among morphological and physiological traits and salinity tolerance indices of rice seedlings at 6 dS.m−1 NaCl. (PDF 139 kb)
606_2016_1304_MOESM11_ESM.pdf
Supplementary material 11 Online Resource 11a and b. Correlation coefficients among morphological and physiological traits (non-stress) and salinity tolerance indices of rice seedlings at 6 and 12 dS.m−1 NaCl respectively. (PDF 188 kb)
606_2016_1304_MOESM12_ESM.pdf
Supplementary material 12 Online Resource 12. Correlation coefficients among morphological and physiological traits and salinity tolerance indices of rice seedlings at 12 dS.m−1 NaCl. (PDF 139 kb)
606_2016_1304_MOESM13_ESM.pdf
Supplementary material 13 Online Resource 13. Dendrogram of the cluster analysis based on the measured morphological and physiological traits and tolerance indices in 44 studied rice varieties under 12 dS.m−1. (PDF 217 kb)
606_2016_1304_MOESM14_ESM.pdf
Supplementary material 14 Online Resource 14. Clustering of the studied genotypes using microsatellite markers linked to the QTL controlling salinity tolerance on chromosome 1 using UPGMA algorithm. (PDF 215 kb)
606_2016_1304_MOESM15_ESM.pdf
Supplementary material 15 Online Resource 16. Association of SSR markers with phenotypic traits and tolerance indices under salinity of 6 dS.m−1. (PDF 106 kb)
606_2016_1304_MOESM16_ESM.pdf
Supplementary material 16 Online Resource 16. Association of SSR markers with phenotypic traits and tolerance indices under salinity of 6 dS.m−1. (PDF 118 kb)
606_2016_1304_MOESM17_ESM.pdf
Supplementary material 17 Online Resource 17. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 6, 7, 8 under 6 dS.m−1 NaCl condition. (PDF 104 kb)
606_2016_1304_MOESM18_ESM.pdf
Supplementary material 18 Online Resource 18. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 3 and 4 under 6 dS.m−1 NaCl condition. (PDF 104 kb)
606_2016_1304_MOESM19_ESM.pdf
Supplementary material 19 Online Resource 19. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 9, 10, 11 and 12 under 6 dS.m−1 NaCl condition. (PDF 104 kb)
606_2016_1304_MOESM20_ESM.pdf
Supplementary material 20 Online Resource 20. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 6, 7, 8 under 12 dS.m−1 NaCl condition. (PDF 101 kb)
606_2016_1304_MOESM21_ESM.pdf
Supplementary material 21 Online Resource 21. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 3 and 4 under 12 dS.m−1 NaCl condition. (PDF 104 kb)
606_2016_1304_MOESM22_ESM.pdf
Supplementary material 22 Online Resource 22. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 9, 10, 11 and 12 under 12 dS.m−1 NaCl condition. (PDF 104 kb)
606_2016_1304_MOESM23_ESM.pdf
Supplementary material 23 Online Resource 23. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 6, 7, 8 under normal conditions. (PDF 100 kb)
Information on Electronic Supplementary Material
Information on Electronic Supplementary Material
Online Resource 1. The origin/pedigree of rice varieties used in this experiment.
Online Resource 2. Standard evaluation system of the visual salt injury at rice seedling stage (Gregorio et al. 1).
Online Resource 3. The closely linked markers to Saltol and SKC1 on chromosome 1.
Online Resource 4-9. Mean comparison of genotype × environment interaction for some morphological and physiological traits of rice seedlings under three salinity conditions.
Online Resource 10. Correlation coefficients among morphological and physiological traits and salinity tolerance indices of rice seedlings at 6 dS.m−1 NaCl.
Online Resource 11a and b. Correlation coefficients among morphological and physiological traits (non-stress) and salinity tolerance indices of rice seedlings at 6 and 12 dS.m−1 NaCl respectively.
Online Resource 12. Correlation coefficients among morphological and physiological traits and salinity tolerance indices of rice seedlings at 12 dS.m−1 NaCl.
Online Resource 13. Dendrogram of the cluster analysis based on the measured morphological and physiological traits and tolerance indices in 44 studied rice varieties under 12 dS.m−1.
Online Resource 14. Clustering of the studied genotypes using microsatellite markers linked to the QTL controlling salinity tolerance on chromosome 1 using UPGMA algorithm.
Online Resource 15. Association of SSR markers with phenotypic traits and tolerance indices under normal conditions.
Online Resource 16. Association of SSR markers with phenotypic traits and tolerance indices under salinity of 6 dS.m−1.
Online Resource 17. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 6, 7, 8 under 6 dS.m−1 NaCl condition.
Online Resource 18. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 3 and 4 under 6 dS.m−1 NaCl condition.
Online Resource 19. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 9, 10, 11 and 12 under 6 dS.m−1 NaCl condition.
Online Resource 20. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 6, 7, 8 under 12 dS.m−1 NaCl condition.
Online Resource 21. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 3 and 4 under 12 dS.m−1 NaCl condition.
Online Resource 22. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 9, 10, 11 and 12 under 12 dS.m−1 NaCl condition.
Online Resource 23. Dendrogram of the cluster analysis of the measured morphological and physiological traits and tolerance indices based on the haplotypes: 6, 7, 8 under normal conditions.
Rights and permissions
About this article
Cite this article
Kordrostami, M., Rabiei, B. & Hassani Kumleh, H. Association analysis, genetic diversity and haplotyping of rice plants under salt stress using SSR markers linked to SalTol and morpho-physiological characteristics. Plant Syst Evol 302, 871–890 (2016). https://doi.org/10.1007/s00606-016-1304-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00606-016-1304-8