Progress in the Spanish National Barley Breeding Program
Abstract
The Spanish Barley Breeding Program is carried out by four public research organizations, located at the most representative barley growing regions of Spain. The aim of this study is to evaluate the program retrospectively, attending to: i) the progress achieved in grain yield, and ii) the extent and impact of genotype-by-environment interaction of grain yield. Grain yields and flowering dates of 349 advanced lines in generations F8, F9 and F10, plus checks, tested at 163 trials over 11 years were analized. The locations are in the provinces of Albacete, Lleida, Valladolid and Zaragoza. The data are highly unbalanced because the lines stayed at the program for a maximum of three years. Progress was estimated using relative grain yield and mixed models (REML) to homogenize the results among years and locations. There was evident progress in the program over the period studied, with increasing relative yields in each generation, and with advanced lines surpassing the checks in the last two generations, although the rate of progress was uneven across locations. The genetic gain was greater from F8 to F9 than from F9 to F10. The largest non-purely environmental component of variance was genotype-by-location-by-year, meaning that the genotype-by-location pattern was highly unpredictable. The relationship between yield and flowering time overall was weak in the locations under study at this advanced stage of the program. The program can be continued with the same structure, although measures should be taken to explore the causes of slower progress at certain locations.Downloads
References
Baik B, Ullrich SE, 2008. Barley for food: characteristics, improvement, and renewed interest. J Cereal Sci 48: 233-242.
http://dx.doi.org/10.1016/j.jcs.2008.02.002
Brachi B, Faure N, Horton M, Flahauw E, Vazquez A, Nordborg M, Bergelson J, Cuguen J, Roux F, 2010. Linkage and association mapping of Arabidopsis thaliana flowering time in nature. PLoS Genet 6: e1000940.
http://dx.doi.org/10.1371/journal.pgen.1000940
PMid:20463887 PMCid:2865524
Ceccarelli S, 1994. Specific adaptation and breeding for marginal conditions. Euphytica 77: 205-219.
http://dx.doi.org/10.1007/BF02262633
Ceccarelli S, Grando S, Impiglia A, 1998. Choice of selection strategy in breeding barley for stress environments. Euphytica 103: 307318.
http://dx.doi.org/10.1023/A:1018647001429
Cuesta-Marcos A, Casas AM, Hayes PM, Gracia MP, Lasa JM, Ciudad F, Codesal P, Molina-Cano JL, Igartua E, 2009. Yield QTL affected by heading date in Mediterranean grown barley. Plant Breeding 128: 46-53.
http://dx.doi.org/10.1111/j.1439-0523.2008.01510.x
Cullis B, Smith A, Hunt C, Gilmour A, 2000. An examination of the efficiency of the Australian crop variety evaluation programmes. J Agric Sci 135: 213-222.
http://dx.doi.org/10.1017/S0021859699008163
FAOSTAT, 2011. Available in http://faostat.fao.org [17 May 2011].
Guttier MJ, Stork JC, Brien KO, Souza E, 2001. Relative sensitivity of spring wheat grain yield and quality parameters to moisture deficit. Crop Sci 41: 327-335.
http://dx.doi.org/10.2135/cropsci2001.412327x
Khalil IH, Farooqi A, Rahman H, Subhan F, 2004. Selection differential and genetic gain for grain yield in wheat. Sarhad J Agric 20: 517-522.
Khalil IH, Khalil SK, Ahmad B, Rahman S, Subhan F, 2010. Genetic gains for grain yield in two selection phases of a wheat breeding program. Pak J Bot 42: 1595-1600.
Lasa JM, 2008. Spanish Barley Core Collection. INIA Monographs No. 25, Madrid, 222 pp.
Laurie DA, 2009. Developmental and reproductive traits in the Triticeae. In: Genetics and genomics of the Triticeae, Series Plant genetics and genomics: crops and models (Feuillet C, Muehlbauer G, eds), Vol 7, pp: 591-609.
Lawn RJ, Summerfield RJ, Ellis RH, Qi A, Roberts EH, Chay PM, Brouwer JB, Rose JL, Yeates SJ, 1995. Towards the reliable prediction of time to flowering in six annual crops. VI. Applications in crop improvement. Exp Agric 31: 89-108.
http://dx.doi.org/10.1017/S0014479700025047
Payne RW, Murray DA, Harding SA, Baird DB, Soutar DM, 2009. GenStat for Windows (12th edition) Introduction. VSN Int, Hemel Hempstead, UK.
Poehlman JM, 1985. Adaptation and distribution. In: Barley, agronomy monograph No. 26. (Rasmusson DC, ed). ASA-CSSA-SSSA, Madison, WI, USA, pp: 1-17.
Roozeboom KL, Schapaugh WT, Tuinstra MR, Vanderlip RL, Millikeng A, 2008. Testing wheat in variable environments: genotype environment, interaction effects, and grouping test locations. Crop Sci 48: 317-330.
http://dx.doi.org/10.2135/cropsci2007.04.0209
St Martin SK, McBlain BA, 1991. Procedure to estimate genetic gain by stages in multi-stage testing programs. Crop Sci 31: 1367-1369.
http://dx.doi.org/10.2135/cropsci1991.0011183X003100050058x
Thomason WE, Phillips SB, 2006. Methods to evaluate heat cultivar testing environments and improve cultivar election protocols. Field Crops Res 99: 87-95.
http://dx.doi.org/10.1016/j.fcr.2006.03.007
Turner NC, 2004. Sustainable production of crops and pastures under drought in a Mediterranean environment. Ann Appl Biol 144: 139-147.
http://dx.doi.org/10.1111/j.1744-7348.2004.tb00327.x
© CSIC. Manuscripts published in both the print and online versions of this journal are the property of the Consejo Superior de Investigaciones Científicas, and quoting this source is a requirement for any partial or full reproduction.
All contents of this electronic edition, except where otherwise noted, are distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence. You may read the basic information and the legal text of the licence. The indication of the CC BY 4.0 licence must be expressly stated in this way when necessary.
Self-archiving in repositories, personal webpages or similar, of any version other than the final version of the work produced by the publisher, is not allowed.