Sort communication. Genotype × environment interaction analysis in two chickpea RIL populations
Abstract
In order to introduce new chickpea germplasm in Argentina, two recombinant inbred line (RIL) populations F6:7 of twenty lines, each one derived from crosses between kabuli and desi types, were evaluated for yield components in different sites and years. Additive main effects and multiplicative interaction (AMMI) analysis was applied to study the performance of different genotypes in different environments. Genotype (G), environment (E) and GE interaction effects were highly significant in both populations for seeds/plant, yield/plant and seed size (100-seed weight). Large differences were observed between the two populations for seeds/plant and seed size. We recommend that some genotypes from these two populations with good performance in a range of environments could be used to introduce new germplasm to the Argentine chickpea breeding programme. The significant GE interactions seem to be related to differences between two geographical areas (Salta and Córdoba/San Luis), at different latitudes and altitudes. These results suggest that these regions should be considered as different macro-environments from the point of view of the chickpea breeding programme.Downloads
References
Becker HC, Leon J, 1988. Stability analysis in plant breeding. Plant Breeding 101: 1-23. http://dx.doi.org/10.1111/j.1439-0523.1988.tb00261.x
Biderbost E, Carreras J, 2005. Registration of Cha-aritos S-156. Chickpea. Crops Sci 45(4): 1653. http://dx.doi.org/10.2135/cropsci2003.033
Bolsa de Cereales de Córdoba, 2011. Informe especial producción de garbanzos. Sistema de Información Agroeconómica-Abril 2011, Córdoba, Argentina.
Gil J, Nadal S, Luna D, Moreno MT, de Haro A, 1996. Variability for some physico-chemical characters in desi and kabuli chickpea types. J Sci Food Agric 71: 179-184. 3.0.CO;2-7" target="_blank">http://dx.doi.org/10.1002/(SICI)1097-0010(199606)71:2<179::AID-JSFA566>3.0.CO;2-7
Hawting GC, Singh KB, 1980. Kabuli-Desi introgression: problems and prospects. Proc Int Workshop on Chickpea Improvement, ICRISAT, Hyderabad, India, pp: 51-56.
Kumar J, Abbo S, 2001. Genetics of flowering time in chickpea and its bearing on productivity in semiarid environments. Adv Agron 72: 107-138. http://dx.doi.org/10.1016/S0065-2113(01)72012-3
Maynez M, Moreno MT, Gil J, 1993. Desi/kabuli introgression for yield improvement in chickpea (Cicer arietinum L.). J Genet Breed 47: 61-64.
Millán MT, Clarke HJ, Siddique KHM, Buhariwalla HK, Gaur PM, Kumar J, Gil J, Kahl G, Winter P, 2006. Chickpea molecular breeding: new tools and concepts. Euphytica 147: 81-103. http://dx.doi.org/10.1007/s10681-006-4261-4
Rubio J, Flores F, Moreno MT, Cubero JI, Gil J, 2004. Effects of the erect/bushy habit, single/double pod and late/early flowering genes on yield and seed size and their stability in chickpea. Field Crop Res 90: 255-262. http://dx.doi.org/10.1016/j.fcr.2004.03.005
SAS Inst, 1996. SAS/STAT software: changes and enhancements through Release 6.11. SAS Institute, Cary, NC, USA.
Zobel RW, Wright MJ, Gauch HG, 1988. Statistical analysis of a yield trial. Agron J 80: 388-393. http://dx.doi.org/10.2134/agronj1988.00021962008000030002x
© 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.