Quantitative measures of the cultivar wide adaptation degree and their using in preliminary yield trials for winter wheat
Wiesław Mądry
wieslaw_madry@sggw.ed.plKatedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie (Poland)
Marzena Iwańska
Katedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie (Poland)
Abstract
In this paper three new concepts of cultivar’s wide adaptation degree in I, II and III sense, respectively were presented. It was recognized that cultivar’s wide adaptation degree in any considered sense can be measured using some statistical indices (measures) called quantitative measures of cultivar’s wide adaptation degree in I, II and III sense. To do this, adequate quantitative measures like superiority measure, Pi, Eskridge’s yield reliability measure, Ri and Eskridge’s yield reliability function, Ri(d) were selected. A hypothesis was formulated that the three measures of cultivar’s wide adaptation degree can evaluate consistently, in order sense, wide adaptation degree of the tested cultivars although it is described by each of them in a specific way. The hypothesis was tested using the data for grain yield of winter wheat from 15 of preliminary yield trials carried out across the years 1993–2007. As a result of the empirical studies good agreements were proved (high Spearman rank correlation coefficients) between each of pairs of quantitative measures of cultivar’s wide adaptation degree in I, II and III sense within all sets of cultivars. Then, one may conclude that in evaluating wheat cultivar’s wide adaptation degree only one of the considered measures could be sufficient. The conducted studies, as based on winter wheat grain yield data delivered new results regarding the investigated crop species. However, the conclusions also deliver important primary viewing on usefulness of the measures for evaluating adaptation degree of cultivars in other crops.
Keywords:
concepts of cultivar’s wide adaptation degree, grain yield, preliminary yield trials, winter wheat, quantitative measures of the degree of cultivar wide adaptationReferences
Annicchiarico P. 2002 a. Defining adaptation strategies and yield stability targets in breeding programmes. In: Kang M.S. (Ed.) Quantitative genetics, genomics and plant breed. CABI, Wallingford, UK: 165–183.
Google Scholar
Annicchiarico P. 2002 b. Genotype- environment interactions: challenges and opportunities for plant breeding and cultivar recommendations. FAO Plant Production and Protection Paper No. 174. Food and Agriculture Organization, Rome.
Google Scholar
Basford K. E., Cooper M. 1998. Genotype × environment interactions and some considerations of their implications for wheat breeding in Australia. Austr. J. Agric. Res. 49: 153 — 174
Google Scholar
Blanche S. B., Utomo H. S., Wenefrida I., Myers G. O. 2009. Genotype x environment interactions of hybrid and varietal rice cultivars for grain yield and milling quality. Crop Sci. 49: 2011 — 2018
Google Scholar
Braun H. J., Ekiz H,, Eser V., Keser M., 1998. Breeding priorities of winter wheat programs. In: Braun HJ, Altay F, Kronstad WE, Beniwal SPS, McNab A et al (eds) Wheat: prospects for global improvement. Kluwer, Dordrecht: 553 — 560.
Google Scholar
Braun H.J., Rajaram S., van Ginkel M. 1996. CIMMYT's approach to breeding for wide adaptation. Euphytica 92: 175 — 183
Google Scholar
Caliński T., Czajka S., Kaczmarek Z. 1997. A multivariate approach to analysing genotype-environment interactions. W: Krajewski P., Kaczmarek Z (Eds), Advances in Biometrical Genetics, Poznań: 3 — 14.
Google Scholar
Cooper M. 1999. Concepts and strategies for plant adaptation research in rainfed lowland rice. Field Crops Res. 64: 13 — 34.
Google Scholar
Cooper M., Byth D. E. 1996. Understanding plant adaptation to achieve systematic applied crop improvement — a fundamental challenge. In: Cooper M., Hammer G.L. (Eds.), Plant Adaptation, Crop Improvement. CAB International/International Rice Research Institute (IRRI)/International Crops Research Institute for Semi Arid Tropics (CRISAT), Wallingford, UK/Los Banos, Laguna, Philippines/Hyderabad, India: 5–24.
Google Scholar
Eskridge K. M. 1990. Selection of stable cultivars using a safety — first rule. Crop Sci. 30: 369 — 374.
Google Scholar
Eskridge K. M. Johnson B. E. 1991. Expected utility maximization and selection of stable plant cultivars. Theor. Appl. Genet. 81: 825 — 832.
Google Scholar
Eskridge K. M., Byrne P. F., Crossa J. 1991. Selection of stable varieties by minimizing the probability of disaster. Field Crops Res. 27:169 — 181.
Google Scholar
Eskridge K.M., Mumm R.F. 1992. Choosing plant cultivars based on the probability of outperforming a check. Theor. Appl. Genet. 84: 494 — 500.
Google Scholar
Eskridge K. M., Smith O. S., Byrne P. F. 1993. Comparing test cultivars using reliability functions of test — check differences from on — farm trials. Theor. Appl. Genet. 87: 60 — 64.
Google Scholar
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.
Google Scholar
Gauch H. G., Piepho H. P., Annicchiarico P. 2008. Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Sci. 48:866 — 889.
Google Scholar
Gauch H.G., Zobel R.W. 1997. Identifying mega — environments and targeting genotypes. Crop Sci. 37:311 — 326.
Google Scholar
Herring M. R., O'Brien L. 2000. A regional adaptation analysis of oats in New South Wales and southern Queensland for grain yield and dry matter production. Austr. J. Agric. Res. 51: 961 — 970
Google Scholar
Iwańska M., Mądry W., Drzazga T., Rajfura A. 2008. Zastosowanie miar statystycznych do oceny stopnia szerokiej adaptacji odmian pszenicy ozimej na podstawie serii doświadczeń przedrejestrowych. Biul. IHAR 250: 67 — 86.
Google Scholar
Joshi K.D., Musa A.M., Johansen C., Gyawali S., Harris D., Witcombe J.R. 2007b. Highly client — oriented breeding, using local preferences and selection, produces widely adapted rice varieties. Field Crops Res. 100: 107 — 116.
Google Scholar
Kang M. S. 1998. Using genotype — by environment interaction for crop cultivar development. Adv. Agron. 62: 199 — 253.
Google Scholar
Kaut A. H. E. E., Mason H. E., Navabi A., O'Donovan J. T., Spaner D. 2009. Performance and stability of performance of spring wheat variety mixtures in organic and conventional management systems in western Canada. J. Agric. Sci. 147: 141–153.
Google Scholar
Krajewski P., Kaczmarek Z., Czajka S. 2006. EKSPLAN wersja 2. Planowanie i analiza statystyczna doświadczeń hodowlanych. Instytut Genetyki Roślin PAN, Poznań.
Google Scholar
Lin C. S., Binns M. R. 1988. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci. 68: 193 — 198.
Google Scholar
Mądry W. 2002. Skuteczność kryterium YS Kanga, opartego na średniej i stabilności plonu w wyborze genotypów zbóż o szerokiej adaptacji w rejonie uprawnym. Roczn. Nauk Roln. Seria A. 116:11 — 24.
Google Scholar
Mądry W. 2003. Analiza statystyczna miar stabilności na podstawie danych w klasyfikacji genotypy × środowiska. Część II. Model mieszany Shukli i model regresji łącznej. Coll. Biom. 33: 207 — 220.
Google Scholar
Patterson H. D., Wiliams E. R. 1976. A new class of resolvable block design. Biometrika 63: 83 — 92.
Google Scholar
Piepho H. P. 1995. Assessing cultivar adaptability by multiple comparison with the best. Agron. J. 87:1225 — 1227.
Google Scholar
Piepho H. P. 1998. Methods for comparing the yield stability of cropping systems — A review. J. Agron. Crop Sci. 180:193 — 213.
Google Scholar
Pilarczyk W. 1988. Planowanie i analiza doświadczeń — teoria i praktyka. Wiadomości Odmianoznawcze 2/39.
Google Scholar
Rajfura A., Mądry W., 2001. Metoda wyboru genotypów o szerokiej adaptacji wykorzystująca zarówno ich średnie w rejonie jak i stabilność plonowania. Coll. Biom.: 169–182.
Google Scholar
Scapim C. A., Pacheco C. A., Amaral A. T., Vieira R. A., Pinto R. J., Conrado T. V. 2010. Correlations between the stability and adaptability statistics of popcorn cultivars. Euphytica 174:209 — 218.
Google Scholar
Shukla G. K. 1972. Some aspects of partitioning genotype -environmental components of variability. Heredity 28: 237 — 245.
Google Scholar
St -Pierre C. A., Klinck H. R., Gauthier F. M. 1967. Early generation selection under different environments as it influences adaptation of barley. Can. J. Plant Sci. 47: 507 — 517.
Google Scholar
Yan W., Kang M. S. 2003. GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. Boca Raton, FL, CRC Press.
Google Scholar
Authors
Wiesław Mądrywieslaw_madry@sggw.ed.pl
Katedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie Poland
Authors
Marzena IwańskaKatedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie Poland
Statistics
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