Določanje najbolj stabilnih genotipov v različnih okoljih z neparametričnimi metodami

Naser SABAGHNIA

Povzetek


Za analizo in ocenjevanje stabilnosti pridelka in interakcije genotipov z različnim okoljem se navadno uporabljajo univariatni in multivariatni parametrični modeli. Eden izmed alternativnih pristopov bi lahko bila uporaba neparametričnih modelov, še posebej v primerih kjer je parametrični pristop težko izvedljiv. Za ocenitev stabilnosti pridelka genotipov v različnih okoljih sta bili uporabljeni dve novi neparametrični metodi (NSi(1) in NSi(2)), ki temeljita na rangih genotipov v danem okolju. Ti metodi uporabljata mediano kot neparametrično osrednjo tendenco in dva neparametrična indeksa porazdelitve kot inter-kvartilno in inter-decilno območje. Predstavljeni neparametrični metodi, NSi(1) in NSi(2), sta podobni konceptu koeficienta okoljske spremenljivosti. Rezultati so pokazali, da so imeli najbolj stabilni genotipi, opredeljeni z najmanjšimi vrednostimi NSi(1) in NSi(2) največji pridelek med vsemi analiziranimi genotipi. Primerjanje povprečnega pridelka z NSi(1) in NSi(2) je potrdila zgoraj navedene rezultate, kar kaže, da so genotipi, ki dajejo največji pridelek tudi najbolj stabilni. Te neparametrične metode bi lahko bile uporabne za hkratno selekcijo povprečnega pridelka in njegove stabilnosti. Lahko bi bile v pomoč pri selekciji primernih genotipov za stabilnost pridelka v žlahtniteljskih programih.

Ključne besede


genotipi; stabilnost genotipv; določanje; adaptacija; GE interakcije; stabilnost; pridelek

Celotno besedilo:

PDF (English)

Literatura


Arslanoglu F., Aytac S. 2010. Determination of stability and genotype × environment interactions of some agronomic properties in the different soybean (Glycine max. (L) Merrill) cultivars. Bulgarian Journal of Agricultural Science, 16: 181–195.

Becker, H.C., Leon J. 1988. Stability analysis in plant breeding. Plant Breeding, 101:1–23; DOI: 10.1111/j.1439-0523.1988.tb00261.x

Becker, H.C. 1981. Correlations among some statistical measures of phenotypic stability. Euphytica, 30: 835–840; DOI: 10.1007/BF00038812

Dehghani H., 2008. Estimating yield stability by nonparametric stability analysis in maize (Zea mays L.). Plant Breeding and Seed Science, 58: 61–77.

Ebadi-Segherloo A., Sabaghpour S.H., Dehghani H., Kamrani M. 2008. Non-parametric measures of phenotypic stability in chickpea genotypes (Cicer arietinum L.). Euphytica, 2: 221-229; DOI: 10.1007/s10681-007-9552-x

Eberhart S.A. Russell W.A. 1966. Stability parameters for comparing varieties. Crop Science, 6: 36–40; DOI: 10.2135/cropsci1966.0011183X000600010011x

Finlay K.W. Wilkinson G.N. 1963. The analysis of adaptation in a plant breeding program. Australian Journal of Agriculture Research, 14: 742–754; DOI: 10.1071/AR9630742

Flores F., Moreno M.T., Cubero, J.I. 1998. A comparison of univariate and multivariate methods to analyze G × E interaction. Field Crops Research, 56: 271–286; DOI: 10.1016/S0378-4290(97)00095- 6

Fox P.N., Skovmand B., Thompson B.K., Braun H.J., Cormier R. 1990. Yield and adaptation of hexaploid spring triticale. Euphytica, 47: 57–64; DOI: 10.1007/BF00040364

Francis T.R. Kannenberg L.W. 1978. Yield stability studies in short-season maize: I. A descriptive method for grouping genotypes. Canadian Journal of Plant Science, 58: 1029–1034; DOI: 10.4141/cjps78-157

Gauch H.G. 1992. Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs. Elsevier, Netherlands, Amsterdam.

Gauch H.G. 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Science, 46: 1488–1500; DOI: 10.2135/cropsci2005.07-0193

Gauch, H.G., Piepho H.P., Annicchiaricoc P. 2008. Statistical analysis of yield trials by AMMI and GGE. Further considerations. Crop Science, 48: 866–889; DOI: 10.2135/cropsci2007.09.0513

Hernández C.M., Crossa J., Castillo A. 1993. The area under the function: an index for selecting desirable genotypes. Theoretical Applied Genetics, 87: 409– 415; DOI: 10.1007/BF00215085

Huehn M. 1979. Beitrage zur Erfassung der phänotypischen Stabilität. EDV Medizin und Biologie, 10: 112–117.

Huehn M. 1990a. Non-parametric measures of phenotypic stability: Part 1. Theory. Euphytica, 47: 189–194.

Huehn M. 1990b. Non-parametric measures of phenotypic stability: Part 2. Application. Euphytica, 47: 195–201.

Huehn M. 1996. Non-parametric analysis of genotype × environment interactions by ranks. p. 213–228. In M.S. Kang and H.G. Gauch (ed.) Genotype by environment interaction. CRC Press, Boca Raton, F; .DOI: 10.1201/9781420049374.ch9

Kang M.S., Pham H.N. 1991. Simultaneous selection for high yielding and stable crop genotypes. Agronomy Journal, 83: 161–165; DOI: 10.2134/agronj1991.00021962008300010037x

Kang M.S. 1988. A rank–sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communications, 16: 113–115.

Karimizadeh R., Mohammadi M. 2010. AMMI adjustment for rainfed lentil yield trials in Iran. Bulgarian Journal of Agricultural Science, 16: 66– 73.

Karimizadeh R., Mohammadi M., Sabaghnia N., Shefazadeh M.K., Pouralhossini J. 2012. Univariate stability analysis methods for determining genotype × environment interaction of durum wheat grain yield. African Journal of Biotechnology, 11: 2563– 2573.

Ketata H., Yan S.K., Nachit M. 1989. Relative consistency performance across environments. Int. Symposium on Physiology and Breeding of Winter Cereals for stressed Mediterranean Environments. Montpellier, July 3–6, 1989.

Lin, C.S. Binns M.R. 1991. Genetic properties of four types of stability parameters. Theoretical Applied Genetics, 82: 505–509; DOI: 10.1007/BF00588606

Lin, C.S., Binns M.R., Lefkovitch L.P. 1986. Stability analysis: Where do we stand? Crop Science, 26: 894–900; DOI: 10.2135/cropsci1986.0011183X002600050012x

Sabaghnia N., Dehghani H., Sabaghpour S.H. 2006. Nonparametric methods for interpreting genotype · environment interaction of lentil genotypes. Crop Science, 46: 1100–1106 ; DOI : 10.2135/cropsci2005.06-0122

Sabaghnia N., Dehghani H., Sabaghpour S.H. 2008a. Graphic analysis of genotype by environment interaction for lentil yield in Iran. Agronomy Journal, 100: 760–764; DOI: 10.2134/agronj2006.0282

Sabaghnia N., Karimizadeh R., Mohammadi M. 2012a. Genotype by environment interaction and stability analysis for grain yield of some lentil genotypes. Žemdirbystė=Agriculture 99: 305–312.

Sabaghnia N., Karimizadeh R., Mohammadi M. 2012b. The use of corrected and uncorrected nonparametric stability measurements in durum wheat multienvironmental trials. Spanish Journal of Agricultural Research 10: 722–730; DOI: 10.5424/sjar/2012103-384-11

Sabaghnia N., Sabaghpour S.H., Dehghani H. 2008b. The use of an AMMI model and its parameters to analyse yield stability in multi-environment trials. Journal of Agricultural Science, 146: 571–581; DOI: 10.1017/S0021859608007831

Shukla G.K. 1972. Some aspects of partitioning genotype-environmental components of variability. Heredity 28:237–245; DOI: 10.1038/hdy.1972.87

Stoilova A. Dechev D. 2002. Genotype environment interaction and phenotypic stability of economic traits in cotton lines. Bulgarian Journal of Agricultural Science, 8: 485–491.

Thennarasu K. 1995. On certain non-parametric procedures for studying genotype–environment interactions and yield stability. Ph.D. thesis. P.J. School, IARI, New Delhi, India.

Yan W., Kang M.S. 2003. GGE-biplot analysis:A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, FL, USA.

Yates F. Cochran W.G. 1938. The analysis of groups of experiments. Journal of Agricultural Science, 28: 556–580; DOI: 10.1017/S0021859600050978

Yue, G.L., Roozeboom K.L., Schapaugh W.T., Liang G.H. 1997. Evaluation of soybean cultivars using parametric and nonparametric stability estimates. Plant Breeding, 116: 271–275; DOI: 10.1111/j.1439-0523.1997.tb00995.x




DOI: http://dx.doi.org/10.14720/aas.2015.105.1.11

Povratne povezave

  • Trenutno ni nobenih povratnih povezav.


Avtorske pravice (c) 2015 Acta agriculturae Slovenica

 

Acta agriculturae Slovenica je odprtodostopna revija, ki objavlja pod pogoji licence Creative Commons Priznanje avtorstva (CC BY).

                     


eISSN 1854-1941