Selection for high spike fertility index increases genetic progress in grain yield and stability in bread wheat
- 88 Downloads
Spike fertility index (SF) has been proposed as a promising trait to be used as a selection criterion in wheat breeding programs aimed at increasing grain yield, but no actual evidence of its successful application has been reported. In this study, 146 recombinant inbred lines derived from a cross between ‘Baguette 10’ and ‘Klein Chajá’, Argentinean spring bread wheat cultivars with contrasting SF, were evaluated during three crop seasons (2013, 2014 and 2015) at Balcarce, Argentina. Grain yield, grain number/m2, grain weight, and SF were measured at maturity. Changes in grain yield (i.e., responses to selection) after application of different selection strategies, including different selection criteria and selection intensities, were determined. Significant correlations were observed between grain number and grain yield, SF and grain yield, and SF and grain weight. Analysis of SF variance components showed a significant genotype × environment interaction, but it represented only 9% of the total variation, whereas 51% of the variation was genetic, resulting in a high narrow-sense heritability (0.84). The use of SF as a selection criterion, either solely or in combination with selection for high yield, increased yield, resulting in higher and more stable yields than if selecting for high yield alone. Our findings support the use of spike fertility index as a selection criterion for increasing genetic progress and stability of yield in bread wheat breeding programs.
KeywordsFruiting efficiency Genetic correlation Heritability
We thank members of the Grupo Trigo Balcarce (Unidad Integrada EEA Balcarce INTA – FCA, UNMdP) for help with the experiments and technical assistance. Scholarships granted to M.P. Alonso by the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) and to N.E. Mirabella and J.S. Panelo by the Comisión de Investigaciones Científicas de la Provincia de Buenos Aires (CIC), and partial funding by the Instituto Nacional de Tecnología Agropecuaria (INTA; PNBIO 1131042), are acknowledged. This work is part of a thesis by M.P. Alonso in partial fulfillment of the requirements for a Doctor´s degree (Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, Argentina).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflicts of interest.
The datasets generated and analysed during the current study are available from the corresponding author on reasonable request.
- Abbate PE, Andrade FH, Lázaro L, Bariffi JH, Berardocco HG, Inza VH, Marturano F (1998) Grain yield increase in recent Argentine wheat cultivars. Crop Sci 38:1203–1209. https://doi.org/10.2135/cropsci1998.0011183X003800050015x CrossRefGoogle Scholar
- Abbate PE, López JR, Brach AM, Gutheim F, González F (2007) Estabilidad de la fertilidad de las espigas de trigo en ambientes sub-potenciales. In: Workshop Internacional: Ecofisiología vegetal aplicada al estudio de la determinación del rendimiento y la calidad de los cultivos de granos. Mar del Plata, Buenos Aires, Argentina, September 6–7, pp 2–3Google Scholar
- Alonso MP, Abbate PE, Mirabella NE, Aramburu Merlos F, Panelo JS, Pontaroli AC (2018) Analysis of sink/source relations in bread wheat recombinant inbred lines and commercial cultivars under a high yield potential environment. Eur J Agron 93:8–87. https://doi.org/10.1016/j.eja.2017.11.007 CrossRefGoogle Scholar
- Arguello MN, Mason RE, Roberts TL, Subramanian N, Acuña A, Addison CK, Lozada DN, Miller RG, Gbur E (2016) Performance of soft red winter wheat subjected to field soil waterlogging: grain yield and yield components. Field Crop Res 194:57–64. https://doi.org/10.1016/j.fcr.2016.04.040 CrossRefGoogle Scholar
- CIMMYT (2017) Wheat Research. <http://www.cimmyt.org/global-wheat-research>. Accessed: Sept 16 2017
- Cooper M, Stucker RE, DeLacy IH, Harch BD (1997) Wheat breeding nurseries, target environments, and indirect selection for grain yield. Crop Sci 37:1168–1176. https://doi.org/10.2135/cropsci1997.0011183X003700040024x CrossRefGoogle Scholar
- Fischer RA (1984) “Wheat”. In: Smith WH, Banks SJ (eds) In: Proceedings of symposium on potential productivity of field crops under different environments, IRRI, Los Baños, The Philippines. pp 129–154Google Scholar
- Foulkes MJ, Slafer GA, Davies WJ, Berry PM, Sylvester-Bradley R, Martre P, Calderini DF, Griffiths S, Reynolds MP (2011) Raising yield potential of wheat. III. Optimizing partitioning to grain while maintaining lodging resistance. J Exp Bot 62:469–486. https://doi.org/10.1093/jxb/erq300 CrossRefPubMedGoogle Scholar
- Foulkes J, Rivera C, Trujillo E, Sylvester-Bradley R, Reynolds M (2015) Achieving a step-change in harvest index in high biomass wheat cultivars. TRIGO (Wheat) Yield Potential, 31Google Scholar
- Hallauer AR, Miranda JB (1981) Quantitative genetic maize breeding. Iowa State University Press, AmesGoogle Scholar
- Lynch JP, Doyle D, McAuley S, McHardy F, Danneels Q, Black LC, White EM, Spink J (2017) The impact of variation in grain number and individual grain weight on winter wheat yield in the high yield potential environment of Ireland. Eur J Agron 87:40–49. https://doi.org/10.1016/j.eja.2017.05.001 CrossRefGoogle Scholar
- Milliken G, Johnson D (1992) Analysis of messy data. Van No-strand Reinhold, New YorkGoogle Scholar
- Pedró A, Savin R, Parry M, Slafer GA (2012) Selection for high grain number per unit stem length through four generations from mutants in a durum wheat population to increase yields of individual plants and crops. Field Crop Res 129:59–70. https://doi.org/10.1016/j.fcr.2012.01.016 CrossRefGoogle Scholar
- Pinheiro J, Bates D, DebRoy S, Sarkar D (2016). R Core Team. nlme: Linear and nonlinear mixed effects models. R package version 3.1–125. http://CRAN.R-project.org/package=nlme
- R Development Core Team. (2016). R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna. http://www.R-project.org/
- Terrile II, Miralles DJ, González FG (2017) Fruiting efficiency in wheat (Triticum aestivum L.): trait response to different growing conditions and its relation to spike dry weight at anthesis and grain weight at harvest. Field Crop Res 201:86–96. https://doi.org/10.1016/j.fcr.2016.09.026 CrossRefGoogle Scholar