Hostname: page-component-848d4c4894-4hhp2 Total loading time: 0 Render date: 2024-05-18T05:28:11.638Z Has data issue: false hasContentIssue false

A method of screening for spike fertility in wheat

Published online by Cambridge University Press:  16 February 2012

P. E. ABBATE*
Affiliation:
Estación Experimental Agropecuaria (EEA) Balcarce, Instituto Nacional de Tecnología Agropecuaria (INTA), CC 276 (7620) Balcarce, Buenos Aires, Argentina
A. C. PONTAROLI*
Affiliation:
Estación Experimental Agropecuaria (EEA) Balcarce, Instituto Nacional de Tecnología Agropecuaria (INTA), CC 276 (7620) Balcarce, Buenos Aires, Argentina Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
L. LÁZARO
Affiliation:
Facultad de Agronomía, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), CC 178 (7300) Azul, Buenos Aires, Argentina
F. GUTHEIM
Affiliation:
Chacra Experimental Miramar, Ministerio de Asuntos Agrarios (MAA) de la Provincia de Buenos Aires, CC 35 (7607) Miramar, Buenos Aires, Argentina
*
*To whom all correspondence should be addressed. Email: pabbate@balcarce.inta.gov.ar, apontaroli@balcarce.inta.gov.ar
*To whom all correspondence should be addressed. Email: pabbate@balcarce.inta.gov.ar, apontaroli@balcarce.inta.gov.ar

Summary

Wheat grain yield is often associated with grain number/m2. Spike fertility (SF), i.e. the quotient between grain number and spike chaff dry weight, is a major component of grain number/m2 determination. Several methodologies have been proposed in the literature for field determination of SF, but they are tedious and expensive. Also, no comparison between methodologies has been done. The feasibility of using wheat SF as a selection criterion in a breeding programme or as a variable of interest in crop physiology studies depends largely upon the availability of a simpler and faster method for collecting and processing samples. Thus, the objective of the present study was to determine: (1) the association between SF calculated with the non-grain spike dry weight at anthesis (reference method) or at crop maturity, (2) the association between SF evaluated at the plot level (i.e. both non-grain spike dry weight and grain number determined as per area unit) and at the individual spike level and (3) the minimum number of individual spikes that should be sampled for the development of a screening method that can be applied in wheat breeding programmes or in crop physiology studies. Associations between variables were determined by correlation analysis of treatment means, and by a test of agreement for categorical rating (low, medium and high SF) between individual data of each variable. Four experiments (BY95, BC96, BC97 and ML07) were performed with five, ten, eight and eight wheat cultivars, respectively, under no environmental limitations, except for experiment ML07 which was not irrigated. In the first three experiments, SF was determined both at the beginning of grain filling and at maturity, in plot-size samples (0·8 m2/plot). In experiments BC96 and BC97, SF was determined both in plot-size samples and in individual spikes (five spikes per plot), at the beginning of grain filling. In experiment ML07, increasing numbers of individual spikes were sampled at maturity to assess SF. As a result: (1) a significant association (R2=0·78; P<0·001; d.f.=20) was detected between SF determined at the beginning of grain filling and at maturity, and the test of agreement for categorical rating showed that the classification of data into categories of SF was equivalent between methods (P>0·05); (2) when comparing SF determined in large plot-size samples v. in small samples of individual spikes, a good adjustment (R2=0·77; P<0·001; d.f.=6) was also observed, with no significant cultivar×experiment interaction and a good agreement between methods in the classification of data into categories of SF (P>0·05); and (3) increasing sample size from 5 to 40 spikes gradually decreased the average relative standard error of the mean (from 0·034 to 0·012, respectively). In conclusion, wheat SF can be determined in a fairly accurate way by sampling a small group of individual spikes at crop maturity, thereby allowing the evaluation of a large number of treatments in a timely fashion and the screening of breeding material from early generations.

Type
Crops and Soils Research Papers
Copyright
Copyright © Cambridge University Press 2012 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abbate, P. E., Andrade, F. H. & Culot, J. P. (1995). The effects of radiation and nitrogen on number of grains in wheat. Journal of Agricultural Science, Cambridge 124, 351360.CrossRefGoogle Scholar
Abbate, P. E., Andrade, F. H., Culot, J. P. & Bindraban, P. S. (1997 b). Grain yield in wheat: Effects of radiation during spike growth period. Field Crops Research 54, 245257 [Erratum, 1998, 56, 317–318].CrossRefGoogle Scholar
Abbate, P. E., Andrade, F. H., Lázaro, L., Bariffi, J. H., Berardocco, H. G., Inza, V. H. & Marturano, F. (1998). Grain yield increase in recent Argentine wheat cultivars. Crop Science 38, 12031209.CrossRefGoogle Scholar
Abbate, P. E. & Lázaro, L. (2001). Ecofisiología del trigo candeal. In Manual de Trigo Candeal (Eds Chacra Experimental Integrada Barrow), pp. 2329. Tres Arroyos, Argentina: Chacra Experimental Integrada Barrow.Google Scholar
Abbate, P. E., Lázaro, L. & Andrade, F. H. (1997 a). ¿Es posible incrementar el número de granos por unidad de superficie en trigo?Explorando Altos Rendimientos en Trigo. INIA La Estanzuela, Colonia, Uruguay, October 20–23, 1997 (Eds Kohli, M. M. & Martino, D.), pp. 7190. Uruguay: CIMMYT-INIA.Google Scholar
Abbate, P. E., López, J. R., Brach, A. M., Gutheim, F. & Gonzalez, F. (2007). Fertilidad de las espigas de trigo en ambientes sub-potenciales. 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, 2007 (Eds Kruk, B. & Serrago, R.), pp. 23. Buenos Aires, Argentina: FAUBA.Google Scholar
Acreche, M. M., Briceño-Félix, G., Sánchez, J. A. M. & Slafer, G. A. (2008). Physiological bases of genetic gains in Mediterranean bread wheat yield in Spain. European Journal of Agronomy 28, 162170.CrossRefGoogle Scholar
Annicchiarico, P. (2002). Genotype×Environment Interactions: Challenges and Opportunities for Plant Breeding and Cultivar Recommendations. Plant Production and Protection Paper 174. Rome: FAO.Google Scholar
Austin, R. B., Bingham, J., Blackwell, R. D., Evans, L. T., Ford, M. A., Morgan, C. L. & Taylor, M. (1980). Genetic improvements in winter wheat yield since 1900 and associated physiological changes. Journal of Agricultural Science, Cambridge 94, 675689.CrossRefGoogle Scholar
Brooking, I. R. & Kirby, E. J. M. (1981). Interrelationships between stem and ear development in winter wheat: the effects of a Norin 10 dwarfing gene Gai/Rht2. Journal of Agricultural Science, Cambridge 97, 373381.CrossRefGoogle Scholar
Fischer, R. A. (1984). Growth and yield of wheat. In Potential Productivity of Field Crops under Different Environments (Eds Smith, W. H. & Banta, S. J.) pp. 129154. Los Baños, Philippines: IRRI.Google Scholar
Fischer, R. A. (1985). Number of kernels in wheat crops and the influence of solar radiation and temperature. Journal of Agricultural Science, Cambridge 105, 447461.CrossRefGoogle Scholar
Fischer, R. A. (2007). Understanding the physiological basis of yield potential in wheat. Journal of Agricultural Science, Cambridge 145, 99113.CrossRefGoogle Scholar
Fischer, R. A. (2011). Wheat physiology: a review of recent developments. Crop and Pasture Science 62, 95114.CrossRefGoogle Scholar
Fischer, R. A. & Stockman, Y. M. (1980). Kernel number per spike in wheat (Triticum aestivum L.). Responses to preanthesis shading. Australian Journal of Plant Physiology 7, 169180.Google Scholar
Fischer, R. A. & Stockman, Y. M. (1986). Increased kernel number in Norin 10-derived dwarf wheat: evaluation of the cause. Australian Journal of Plant Physiology 13, 767784.Google Scholar
Foulkes, M. J., Slafer, G. A., Davies, W. J., Berry, P. M., Sylvester-Bradley, R., Martre, P., Calderini, D. F., Griffiths, S. & Reynolds, M. P. (2011). Raising yield potential of wheat. III. Optimizing partitioning to grain while maintaining lodging resistance. Journal of Experimental Botany 62, 469486.CrossRefGoogle ScholarPubMed
González, F. G., Slafer, G. A. & Miralles, D. J. (2005). Floret development and survival in wheat plants exposed to contrasting photoperiod and radiation environments during stem elongation. Functional Plant Biology 32, 189197.CrossRefGoogle ScholarPubMed
González, F. G., Terrile, I. I. & Falcón, M. O. (2011). Spike fertility and duration of stem elongation as promising traits to improve potential grain number (and yield): variation in modern Argentinean wheats. Crop Science 51, 16931702.CrossRefGoogle Scholar
Lázaro, L. & Abbate, P. E. (2011). Cultivar effects on relationship between grain number and photothermal quotient or spike dry weight in wheat. Journal of Agricultural Science, Cambridge, 14 September 2011. DOI:10.1017/S0021859611000736.Google Scholar
Lázaro, L., Abbate, P. E., Cogliati, D. H. & Andrade, F. H. (2010). Relationship between yield, growth and spike weight in wheat under phosphorus deficiency and shading. Journal of Agricultural Science, Cambridge 148, 8393.CrossRefGoogle Scholar
Montgomery, D. C. (1997). Experiments with a single factor: the analysis of variance. Design and Analysis of Experiments, 5th edn (Ed. Montgomery, D. C.), pp. 60125. New York: John Wiley & Sons, Inc.Google Scholar
Reynolds, M. P., Rajaram, S. & Sayre, K. D. (1999). Physiological and genetic changes of irrigated wheat in the post-green revolution period and approaches for meeting projected global demand. Crop Science 39, 16111621.CrossRefGoogle Scholar
Shearman, V. J., Sylvester-Bradley, R., Scott, R. & Foulkes, M. (2005). Physiological processes associated with wheat yield progress in the UK. Crop Science 45, 175185.CrossRefGoogle Scholar
Slafer, G. A. (2007). Physiology of determination of major wheat yield components. In Wheat Production in Stressed Environments (Eds Buck, H. T., Nisi, J. E. & Salomón, N.), pp. 557565. Dordrecht, the Netherlands: Springer.CrossRefGoogle Scholar
Slafer, G. A., Andrade, F. H. & Satorre, E. H. (1990). Genetic-improvement effects on pre-anthesis physiological attributes related to wheat grain-yield. Field Crops Research 23, 255263.CrossRefGoogle Scholar
Stapper, M. & Fischer, R. A. (1990). Genotype, sowing date and plant spacing influence on high-yielding irrigated wheat in Southern New South Wales. II. Growth, yield and nitrogen use. Australian Journal of Agricultural Research 41, 10211041.CrossRefGoogle Scholar
Sun, X. & Yang, Z. (2008). Generalized McNemar's test for homogeneity of the marginal distributions. In The SAS Global Forum 2008 Conference (Eds SAS Users Group International), Paper 382–2008, pp. 110. Cary, NC: SAS Institute Inc. Available online at http://www2.sas.com/proceedings/forum2008/382–2008.pdf (verified 25 November 2011).Google Scholar
Uebersax, J. S. (2006). User Guide for the MH Program (version 1.2). Available online from the Statistical Methods for Rate Agreement http://john-uebersax.com/stat/mh.htm (verified 25 November 2011).Google Scholar
Youssefian, S., Kirby, E. J. M. & Gale, M. D. (1992). Pleiotropic effects of the GA-insensitive Rht dwarfing genes in wheat. 2. Effects on leaf, stem, ear and floret growth. Field Crops Research 28, 191210.CrossRefGoogle Scholar