Abstract
The effectiveness of a cultivar evaluation scheme is impeded by the cost of experimentation. The aim of this study was to explore whether the locations employed in durum wheat evaluation program in Greece constituted a mega-environment (ME) and to adjust the number of trial replications and locations for realizing an optimum heritability (H) of 0.75. The analysis was conducted for grain yield (GY), agronomic and quality parameters in a 10-year (2002–2011) dataset and included a variable across years, number of genotypes and locations. The GGE biplot analyses revealed that trial locations can be considered as a single, complex ME. The existence of the ME was also confirmed by the high H across locations. The number of replications and locations for realizing an optimum H for GY was five replications compared to the four currently used, and five locations in lieu of 3–4 now tested. Plant height in March, final plant height and days to heading required three replications and four locations, winter frost three and five, powdery mildew three and seven, stem rust five and nine, whereas lodging 10 replications and 10 locations, respectively. Regarding quality, thousand-kernel weight required four replications and three locations, whereas vitreous kernel percentage six and eight, grain protein concentration four and seven, black point percentage 17 replications and was of zero H across locations. Finally, for the traits assessed only across locations, ash content required seven, wet gluten content five while gluten index and β-carotene three locations.
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Abbreviations
- Ash:
-
Grain ash concentration
- BP:
-
Black point percentage
- Carot:
-
β-Carotene content
- DtH:
-
Days to heading
- FPH:
-
Final plant height
- G:
-
Genotype
- GEI:
-
Genotype × environment interaction
- GEI/Gratio :
-
Sum of squares ratio
- GGE biplot:
-
Genotype and genotype × environment biplot
- GI:
-
Gluten index
- G × L:
-
Genotype × location
- GY:
-
Grain yield
- H:
-
Heritability
- Ha :
-
Heritability across locations
- Hw :
-
Heritability within a trial
- L:
-
Location
- Lodg:
-
Lodging percentage
- ME:
-
Mega-environment
- MPH:
-
Plant height in March
- Nl :
-
Number of locations
- NlH75 :
-
Number of locations to realize H = 0.75
- Nr :
-
Number of replications
- NrH75 :
-
Number of replications to realize H = 0.75
- PC:
-
Grain protein concentration
- PM:
-
Powdery mildew
- SR:
-
Stem rust
- SumE :
-
Sum of squares for E
- SumGEI :
-
Sum of squares for GEI
- SSTRMT :
-
Treatment sum of squares
- TKW:
-
Thousand-kernel weight
- VK:
-
Vitreous kernel percentage
- WG:
-
Wet gluten content
- WF:
-
Winter frost
- Y:
-
Year
References
Annicchiarico P (2002) Genotype × environment interaction: Challenges and opportunities for plant breeding and cultivar recommendations. FAO Plant Production and Protection Paper 174. Food and Agriculture Organization of the United Nations, Rome
Arief VN, DeLacy IH, Crossa J et al (2015) Evaluating testing strategies for plant breeding field trials: redesigning a CIMMYT international wheat nursery. Crop Sci 55:164–177. doi:10.2135/cropsci2014.06.0415
Baxevanos D, Goulas C, Rossi J, Braojos E (2008) Separation of cotton cultivar testing sites based on representativeness and discriminating ability using GGE biplots. Agron J 100:1230–1236. doi:10.2134/agronj2007.0363
Baxevanos D, Tsialtas IΤ, Goulas C (2013) Repeatability and stability analysis for fiber traits in upland cotton (Gossypium hirsutum L.). Aust J Crop Sci 7:1423–1429
Bernardo R (2010) Breeding quantitative traits in plants. Stemma Press, Woodbury
Berry PM, Sylvester-Bradley R, Berry S (2007) Ideotype design for lodging-resistant wheat. Euphytica 154:165–179. doi:10.1007/s10681-006-9284-3
Blanche SB, Myers GO (2006) Identifying discriminating locations for cultivar selection in Louisiana. Crop Sci 46:946–949. doi:10.2135/cropsci2005.0279
Blum A, Pnuel Y (1990) Physiological attributes associated with drought resistance of wheat cultivars in a Mediterranean environment. Aust J Agric Res 41:799–810. doi:10.1071/AR9900799
Braun HJ, Payne T (2012) Mega-environment breeding. In: Reynolds MP, Pask AJD, Mullan DM (eds) Physiological breeding I: interdisciplinary approaches to improve crop adaptation. CIMMYT, Mexico, pp 6–17
Cerón MMC, Martel IS (2003) Effects of powdery mildew severity (Blumeria graminis f. sp. tritici) on breeding lines of durum wheat (Triticum turgidum L. spp. durum) yield in Western Andalusia [Spain]. Span J Agric Res 1:19–26. doi:10.5424/sjar/2003013-30
Clarke FR, Clarke JM, McCaig TN, Knox RE, DePauw RM (2006) Inheritance of yellow pigment concentration in seven durum wheat crosses. Can J Plant Sci 86:133–141. doi:10.4141/P05-083
Comstock RF, Moll RH (1963) Genotype – environment interactions. In: Hanson WD, Robinson HF (eds), Statistical genetics and plant breeding. NAS-NRC Publication 982, Washigton DC, pp 164–196
Dehghani H, Ebadi A, Yousefi A (2006) Biplot analysis of genotype by environment interaction for barley yield in Iran. Agron J 98:388–393. doi:10.2134/agronj2004.0310
DeLacy IH, Basford KE, Cooper M, Bull JK, McLaren CG (1996) Analysis of multi-environment trials–a historical perspective. In: Cooper M, Hammer GL (eds) Plant adaptation and crop improvement. CAB International, Wallingford, pp 39–124
Eisemann RL, Cooper M, Woodruff DR (1990) Beyond the analytical methodology, better interpretation and exploitation of GE interaction. In: Kang MS (ed) Genotype-by-environment interaction and plant breeding. Louisiana State University Agricultural Center, Baton Rouge, pp 108–117
Fernandez MR, Clarke JM, DePauw RM, Irvine RB, Knox RE (2000) Black point reaction of durum and common wheat cultivars grown under irrigation in southern Saskatchewan. Plant Dis 84:892–894. doi:10.1094/PDIS.2000.84.8.892
Frutos E, Galindo MP, Leiva V (2014) An interactive biplot implementation in R for modeling genotype-by-environment interaction. Stoch Environ Res Risk Assess 28:1629–1641. doi:10.1007/s00477-013-0821-z
Hadjichristodoulou A (1979) Genetic and environmental effects on vitreousness of durum wheat. Euphytica 28:711–716. doi:10.1007/BF00038938
Hellenic Statistical Authority (2016) Annual agricultural statistical survey. Hellenic Republic, http://www.statistics.gr. Accessed 13 July 2016
ICC (1994) Standard methods of the International Association for Cereal Chemistry, 4th supplement
Institute SAS (2002) JMP statistical discovery software. SAS Inst, Cary
Josephides CM (1993) Analysis of adaptation of barley, triticale, durum and bread wheat under Mediterranean conditions. Euphytica 65:1–8. doi:10.1007/BF00022193
Koutsika-Sotiriou M, Gogas C, Evgenidis G, Bladenopoulos K (2011) Wheat breeding in Greece. In: Bonjean AP, Angus WJ, van Ginkel M (eds) The world wheat book: a history of wheat breeding, vol 2. Lavoisier Publishing, Paris, pp 239–273
Letta T, Tilahun A (2007) Stability analysis for selecting stem rust resistance in some Ethiopian durum wheat varieties. In: African Crop Science Proceedings, El-Minia, Egypt, pp 853–856
Nachit M, Baum M, Impiglia A, Ketata H (1995) Studies on some grain quality traits in durum wheat grown in Mediterranean environments. In: Di Fonzo N, Kaan F, Nachit M (eds) Durum wheat quality in the Mediterranean region. CIHEAM, Zaragosa, pp 181–187
Papakosta DK, Gagianas AA (1991) Nitrogen and dry matter accumulation, remobilization, and losses for Mediterranean wheat during grain filling. Agron J 83:864–870. doi:10.2134/agronj1991.00021962008300050018x
Pask A, Pietragalla J (2012) Observations of in-season damage. In: Pask AJD, Pietragalla J, Mullan DM, Reynolds MP (eds) Physiological breeding II: A field guide to wheat phenotyping. CIMMYT, Mexico, pp 113–119
Rashidi V (2011) Genetic parameters of some morphological and physiological traits in durum wheat genotypes (Triticum durum L.). Afr J Agric Res 6:2285–2288. doi:10.5897/AJAR11.057
Rharrabti Y, Villegas D, Royo C, Martos-Núñez V, García Del Moral LF (2003) Durum wheat quality in Mediterranean environments: II. Influence of climatic variables and relationships between quality parameters. Field Crops Res 80:133–140. doi:10.1016/S0378-4290(02)00177-6
Savary S, Jouanin C, Félix I, Gourdain E, Piraux F, Willocquet L, Brun F (2016) Assessing plant health in a network of experiments on hardy winter wheat varieties in France: multivariate and risk factor analyses. Eur J Plant Pathol 146:757–778. doi:10.1007/s10658-016-0955-1
Symeonidis K, Mavromatis T, Kotzamanidis S (2012) Investigating with the CERES-wheat model the impacts of soil and climate factors on durum wheat performance and earliness in northern Greece. In: Helmis CG Nastos PT (eds) Advances in meteorology, climatology and atmospheric physics. Springer Atmospheric Sciences. Springer, New York, pp 743–749
Van Sanford DA, MacKown CT (1986) Variation in nitrogen use efficiency among soft red winter wheat genotypes. Theor Appl Genet 72:158–163. doi:10.1007/BF00266987
Vida G, Szunics L, Veisz O, Bedő Z, Láng L, Árendás T, Bónis P, Rakszegi M (2014) Effect of genotypic, meteorological and agronomic factors on the gluten index of winter durum wheat. Euphytica 197:61–71. doi:10.1007/s10681-013-1052-6
Yan W (2016) Analysis and handling of G × E in a practical breeding program. Crop Sci 56:2106–2118. doi:10.2135/cropsci2015.06.0336
Yan W, Kang MS (2003) GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press LLC, Boca Raton
Yan W, Tinker NA (2005) An integrated biplot analysis system for displaying, interpreting, and exploring genotype × environment interaction. Crop Sci 45:1004–1016. doi:10.2135/cropsci2004.0076
Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000) Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci 40:597–605. doi:10.2135/cropsci2000.403597x
Yan W, Kang MS, Ma B, Woods S, Cornelius PL (2007) GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci 47:643–655. doi:10.2135/cropsci2006.06.0374
Yan W, Frégeau-Reid J, Martin R, Pageau D, Mitchell-Fetch J (2015) How many test locations and replications are needed in crop variety trials for a target region? Euphytica 202:361–372. doi:10.1007/s10681-014-1253-7
Zuber U, Winzeler H, Messmer MM, Keller M, Keller B, Schmid JE, Stamp P (1999) Morphological traits associated with lodging resistance of spring wheat (Triticum aestivum L.). J Agron Crop Sci 182:17–24. doi:10.1046/j.1439-037x.1999.00251.x
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Baxevanos, D., Korpetis, E., Irakli, M. et al. Evaluation of a durum wheat selection scheme under Mediterranean conditions: adjusting trial locations and replications. Euphytica 213, 82 (2017). https://doi.org/10.1007/s10681-017-1871-y
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DOI: https://doi.org/10.1007/s10681-017-1871-y