Environmental stability of alfalfa accessions in basic quantitative traits
Keywords:
alfalfa accessions; phenotypic stability; yieldAbstract
Nine alfalfa accessions (seven experimental synthetic populations, one free hybrid and cv. Prista 2) were studied under field conditions for three years (8 total cuts). Established genotype-environment interactions (years) have been established for signs of stem length and yield of dry and fresh mass. The factor environment has a very strong impact on almost all the studied features. A stronger effect of genotype factor of the stem and leaf length, node with first flower, dry and fresh yield on the genotype interaction factor was found. Three types of stability parameters have been calculated: regression, variation and nonparametric. Synthetics 11 Syn 5-2, 7 Syn 1+ and 13 Syn 5+ are defined as ecologically stable with a shorter stem length and the free hybrid Estival x Sewa as highly productive and variable (bi =1.17). Synthetic 5 Syn 1 is responsive with mean stability of the sign (bi = 1.06). Sint-IGI has a high dry mass yield, but with a pronounced responsiveness (bi = 1.14) to improving cultivation conditions, which provides high yields above average. Synthetics 5 Syn 1- and 13 Syn 5+ can be defined as ecologically stable (bi = 1.06, bi = 1.04) with high dry weight yield (917 kg.da-1, 912.18 kg.da-1) suitable for growing in a wide range of environmental conditions. Synthetics Sint-IGI (Si2 = 0.83) and 13 Syn 5+ (Si2 = 11.08) are stable and low adaptive by weight of the green mass and are suitable for growing under unfavourable conditions. Highly yielding green mass populations 5 Syn 1- (3172 kg.da-1) and Prista 2 (3073 kg.da-1) are unstable but have a high adaptability that provides them with yields above average.
References
Abd El-Sattar A. M., El-Sayed K. M., Sharshar M. S. E., & EL-Fanah A. M. S. (2016). Stability analysis of yield and solvent retention capacity (src) measures for bread wheat genotypes in Egypt. Egypt. J. Plant Breed., 20 (4), 677-699.
Annicchiarico, P. (1992). Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. Journal of Genetics and Breeding, 46, 269-269.
Annicchiarico, P., Scotti, C., Carelli, M., & Pecetti, L. (2010). Questions and avenues for lucerne improvement. Czech Journal of Genetics and Plant Breeding, 46(1), 1-13.
Babinec, J. & Mikolaskova, J. (1992). Some results of breeding proved in theinterstational tests with alfalfa. In: Proceedings of the XInternational Conference of the Eucarpia Medicago spp. Group, Italy, 349-352.
Bouton, J. H. (2012). Breeding lucerne for persistence. Crop and Pasture Science, 63(2), 95-106.
Brummer, E. C. (2008, October). Alfalfa improvement and the maize syndrome: Have we suffered enough. In Workshop for Pietro Rotili and the genetic improvement of alfalfa= Workshop La figura di Pietro Rotili e il miglioramento genetico dell’erba medica. CRA-FLC, Lodi (pp. 55-69).
Costa, A. F., Leal, N. R., Ventura, J. A., Gonçalves, L. S. A., Amaral Júnior, A. T. D., & Costa, H. (2015). Adaptability and stability of strawberry cultivars using a mixed model. Acta Scientiarum. Agronomy, 37(4), 435-440.
Cruz, C. D. (2009). Programa genes: Biometria. version 7.0. University of Federal Viçosa, Viçosa, Brazil.
Cruz, C. D., Regazzi A. J. & Carneiro, P. C. (2004) Modelos biométricos aplicados ao melhoramento genético. 3ª ed. Viçosa, Editora UFV(р. 480).
Eberhart, S. T., & Russell, W. A. (1966). Stability parameters for comparing varieties 1. Crop science, 6(1), 36-40.
Julier, B., Barre, P., Hebert, Y., Huguet, T., & Huyghe, C. (2003). Methodology of alfalfa breeding: a review of recent achievements. Czech Journal of Genetics and Plant Breeding, 39(Special issue), 71-81.
Krachunov, I., Кertikova D., & Ilieva, A. (2006). Forage quality of four lucerne varieties and possibilities for its estimation through the stem length. Journal of Mountain Agriculture on the Balkans, 9(4), 559-572.
Lin, C. S., & Binns, M. R. (1988). A superiority measure of cultivar performance for cultivar× location data. Canadian journal of plant science, 68(1), 193-198.
Maslinkov, М. (1978). On the biological features, cultivation, use and improvement of lucerne. Dissertation, Plovdiv, Bulgaria.
Moysés N., Adésio F., Nascimento C., Carolina A., Fabyano S. F., Ferreira P., Cruz R., & Damião, C. (2015). Multiple centroid method to evaluate the adaptability of alfalfa genotypes. Revista Ceres, 62(1), 30-36.
Nascimento, M., Silva, F. F., Sáfadi, T., Nascimento, A. C. M. C., de Paula Ferreira, R., & Cruz, C. D. (2011). Abordagem bayesiana para avaliação da adaptabilidade e estabilidade de genótipos de alfafa. Pesquisa agropecuária brasileira, 46(1), 26-32.
Nascimento, M., Peternelli, L. A., Cruz, C. D., Nascimento, A. C. C., Ferreira, R. D. P., Bhering, L. L., & Salgado, C. C. (2013). Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes. Crop Breeding and Applied Biotechnology, 13(2), 152-156.
Plaisted, R. L., & Peterson, L. C. (1959). A technique for evaluating the ability of selections to yield consistently in different locations or seasons. American Potato Journal, 36(11), 381-385.
Rotili, P., Busbice, T. H., & Demarly, Y. (1996). Breeding and variety constitution in alfalfa: present and future. Grassland and Land Use Systems, 163-180.
Rotili, P., Gnocchi, G., Scotti, C., & Zannone, L. (1999). Some aspects of breeding methodology in alfalfa. In Proc. of The Alfalfa Genome Conference, Madison, USA. https://www.naaic.org/TAG/TAGpapers/rotili/rotili.html
Sabaghnia, N., Karimizadeh, R., & Mohammadi, M. (2015). Graphic analysis of yield stability in new improved lentil (Lens culinaris Medik.) genotypes using nonparametric statistics. Acta Agriculturae Slovenica, 103(1), 113-127.
Tai, G. C. C. (1979). Analysis of Genotype-Environment Interactions of Potato Yield 1. Crop Science, 19(4), 434-438.
Vasileva, V., & Kostov, O. (2015). Effect of mineral and organic fertilization on alfalfa forage and soil fertility. Emirates Journal of Food and Agriculture, 678-686.
Vasileva, V., & Kostov, O. (2015). Effect of mineral and organic fertilization of alfalfa on some seed yield characteristics, root biomass accumulation and soil humus content. Acta Agriculturae Serbica, 20(39), 51-65.
Veronesi, F., Huyghe, C. & Delgado, I. (2006). Lucerne breeding in Europe: results and research strategies for future developments. Grassland Science in Europe, Vol. 11, 232-242.
Veronesi, F., Brummer, E. C., & Huyghe, C. (2010). Alfalfa. In Fodder crops and amenity grasses (pp. 395-437). Springer, New York, NY.
Wricke, G. (1964). Zur berechnung der okovalenz bei sommerweizen und hafer. Zeitschrift Fur Pflanzenzuchtung-Journal of Plant Breeding, 52(2), 127Yan, W. (2002). Singular-value partitioning in biplot analysis of multienvironment trial data. Agronomy Journal, 94(5), 990-996.
Yan, W. (2002). Singular-value partitioning in biplot analysis of multienvironment trial data. Agronomy Journal, 94(5), 990-996.
Yan, W. (2016). Analysis and handling of G× E in a practical breeding program. Crop Science, 56(5), 2106-2118.
Yan, W., Kang, M. S., Ma, B., Woods, S., & Cornelius, P. L. (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop science, 47(2), 643-653.
Yuegao, H. & Cash, D. (2009). Global status and development trends of alfalfa. In: Alfalfa management guide for ningxia (Eds. D. Cash, and H. Yuegao), United Nations Food and Agriculture Organization, 1-14.
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2019 Bulgarian Journal of Crop Science
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
