پیوندهای مفید
آمار
| تعداد نشریات | 31 |
| تعداد شماره‌ها | 748 |
| تعداد مقالات | 7,122 |
| تعداد مشاهده مقاله | 10,274,875 |
| تعداد دریافت فایل اصل مقاله | 6,910,443 |
Evaluation of end-of-season drought stress tolerance in some rice genotypes, north of Iran | ||
| Caspian Journal of Environmental Sciences | ||
| دوره 19، شماره 2، تیر 2021، صفحه 341-352 اصل مقاله (677.54 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22124/cjes.2021.4750 | ||
| نویسندگان | ||
| Ali Vahdati1؛ Naser Mohebalipour* 1؛ Ebrahim Amiri2؛ Ali Akbar Ebadi3؛ Ali Faramarzi1 | ||
| 1Department of Agronomy and Plant Breeding, Facutly of Agriculture, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran | ||
| 2Department of Water Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran | ||
| 3Assistant professor at Rice reaserch Institute of Iran, agricultural reaserch education and extention organization (AREEO), Rasht, Iran | ||
| چکیده | ||
| Drought stress has been well documented as an effective parameter in reducing crop production. Hence, developing and releasing new genotypes adapted to water deficit conditions can be a constructive way to overcome to unsuitable environmental conditions. Canonical discriminant analysis (CDA) was used in combination with cluster analysis to evaluate the response of 14 rice genotypes using the drought stress tolerance indices under two conditions of irrigation and discontinued irrigation at a specific time. The CDA results revealed that the first canonical variable was under the influence of high coefficients for the stress tolerance index (STI), harmonic mean (HM), mean production (MP), geometric mean production (GMP), yield in normal conditions (Yp), and yield in stress condition (Ys).The canonical coefficients of the stress sensitivity index (SSI) and tolerance index (TOL) were significant in the second canonical variable. Accordingly, the first canonical variable distinguished the genotypes based on yield potential and stress tolerance, while the second one segregated the susceptible and tolerant genotypes. The scatter plot chart of two significant canonical variables distinguished three groups, and all pairs of Mahalanobis distances between groups were significant. The second group was recognized as the best group, since its genotypes had the maximum value for the first canonical variable, while most of these genotypes had low values for the second one. Therefore, the genotypes of this group (831, Fajr, Sepidrood and Sahel) can be selected as suitable genotypes for stress and non-stress conditions. | ||
| کلیدواژه‌ها | ||
| Canonical discriminant analysis؛ Drought tolerance indices؛ Rice؛ Stress | ||
| مراجع | ||
|
Abarshahr M, Rabie, B & Samizadhe Lahigi H 2011, Assessing genetic diversity of rice varieties under dourght stress conditions. Notulae Scientia Biologicae, 3: 114-123.
Bahrami, F, A Arzani, A & Karimi, V 2014, Evaluation of yield-based drought tolerance indices for Screening safflower genotypes. Agronomy Journal, 106:1219-1224.
Cruz-Castillo, JG, Ganeshanandam, S, MacKay, BR, Lawes, GS, Lawoko, CRO & Woolley, DJ 1994, Applications of canonical discriminant analysis in horticultural research. Horticultural Science, 29: 1115-1119.
Dillon, WR & Goldstein, M 1984, Multivariate analaysis: Methods and applications. John Wiley and Sons, New York, 608 p.
Fernandez, GC 1992, Effective selection criteria for assessing plant stress tolerance. In: Proceedings of the International Symposium on Adaptation of Vegetables and Other Food Crops in Temperature and Water Stress, 13-18 August, pp. 257-270.AVRDC Publications, Tainan, Taiwan.
Fischer, RA & Maurer, R 1978, Drought resistance in spring wheat cultivars. I. Grain yield responses. Crop and Pasture Science, 29: 897-912.
Gomez, KA & Gomez, AA 1984, Statistical procedures for agricultural research (2nd ed.). John wiley and sons, New York, 680 p.
Hossain, ABS, Sears, RG, Cox, TS & Paulsen, GM 1990, Desiccation tolerance and its relationship to assimilate partitioning in winter wheat. Crop Science, 30: 622-627.
Khan, IM & Dhurve, OP 2016, Drought response indices for identification of drought tolerant genotypes in rainfed upland rice (Oryza Sativa L.). International Journal of Science, Environment and Technology, 5: 73-83.
Kumbhar SD, kulwal PL, Patil jv, Sarawate CD, Gaikwad AP, Jadhav AS (2015), Genetic diversity and population structure in landraces and improved rice varieties from India. Rice Science, 22: 99-107.
Loos, BP 1993, Morphological variation in Lolium (Poaceae) as a measure of species relationships. The genus Lolium; taxonomy and genetic resources. Plant Systematics and Evolution, 188: 87-99.
Marcelo, VAC, Niones, JM, Orbase, MAR, and Desamero NV 2017, Selection in recombinant inbred lines of rice (Oryza sativa L.) by drought tolerant indices. International Journal of Agricultural Technology, 13: 2679-2691.
Mau, YS, Ndiwa, ASS, Oematan, SS & Markus, JER 2019, Drought tolerance indices for selection of drought tolerant, high yielding upland rice genotypes. AJCS, 13: 1835-2707.
Pandey, V, Shukal A 2015, Acclimation and tolerance strategies of rice under drought stress. Rice Science, 22: 147-161.
Rajiv, S, Thivendran, P & Deivanai, S 2010, Genetic divergence of rice on some morphological and physiochemical responses to drought stress. Pertinaka Journal of Tropical Agricultural Science, 32: 315-328.
Ramirez-Vallejo, P & Kelly, JD 1998, Traits related to drought resistance in common bean. Euphytica, 99: 127-136.
Rao, SC & Northup, BK 2009, Capabilities of four novel warm-season legumes in the southern Great Plains: grain production and quality. Crop science, 49: 1103-1108.
Rascio, A, Carlino,E, Santis, G & Fonzo, N 2012, A discriminant analysis to categorize durum wheat varieties in drought-tolerance classes on the basis of rheological and physiological traits. Cereal Research Communications, 41: 88-96.
Riggs, TJ 1973, The use of canonical analysis for selection within a population of spring barley. Annals of Applied Biology, 74: 249-258.
Rosielle, AA & Hamblin, J 1981, Theoretical aspects of selection for yield in stress and non-stress environment. Crop Science, 21: 943-946.
Safari, P, MogaddamVahed, M, Alavikia, SS & Norouzi, M 2018, Evaluation of water deficient stress tolerance in spring wheat lines using canonical discriminant analysis. Journal of Biodiversity and Environmental Sciences, 12: 126-133.
Sareen, S, Tyagi, BS & Sharma, I 2012, Response estimation of wheat synthetic lines to terminal heat stress using stress indices. Journal of Agricultural Science, 4: 97-104.
SAS Institute 2002, SAS user's guide: Statistics version 9 for windows. SAS Institute, Carry, NC, USA.
Schneider, KA, Rosales-Serna, R, Ibarra-Perez, F, Cazares-Enriquez, B, Acosta-Gallegos, JA, Ramirez-Vallejo, P, Wassimi, N & Kelly, JD 1997, Improving common bean performance under drought stress. Crop Science, 37: 43-50.
SPSS 2007, The SPSS system for Windows. Release 16.0, SPSS Inc., an IBM Company Headquarters, USA.
Thiry, AA, Chavez Dulanto, PN, Reynolds, MP & Davies, WJ 2016, How can we improve crop genotypes to increase stress resilience and productivity in a future climate? A new crop screening method based on productivity and resistance to abiotic stress. Journal of Experimental Botany, 67: 5593-5603.
Vaylay, R & van Santen, E 2002, Application of canonical discriminant analysis for the assessment of genetic variation in tall fescue. Crop Science, 42: 534-539. | ||
|
آمار تعداد مشاهده مقاله: 741 تعداد دریافت فایل اصل مقاله: 726 |
||