Modelling yield response of a traditional and a modern barley cultivar to different water and nitrogen levels in two contrasting soil types
L. Gabriela Abeledo A D , Daniel F. Calderini B and Gustavo A. Slafer C
+ Author Affiliations
- Author Affiliations
A Departamento de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, C1417DSE Buenos Aires, Argentina.
B Institute of Plant Production and Protection, Universidad Austral de Chile, Campus Isla Teja, Valdivia, Chile.
C ICREA (Catalonian Institution for Research and Advanced Studies) and Department of Crop and Forest Sciences, University of Lleida, Av. Rovira Roure 191, 25198 Lleida, Spain.
D Corresponding author. Email: abeledo@agro.uba.ar
Crop and Pasture Science 62(4) 289-298 https://doi.org/10.1071/CP10317
Submitted: 28 September 2010 Accepted: 8 March 2011 Published: 19 April 2011
Abstract
The importance of yield improvement at farm conditions is highly dependent on the interaction between genotype and environment. The aim of the present work was to assess the attainable yield of a traditional and a modern malting barley cultivar growing under a wide range of soil nitrogen (N) availabilities and different water scenarios (low, intermediate and high rainfall conditions during the fallow period and throughout the crop cycle) considering a 25-year climate dataset for two sites (a shallow and a deep soil) in the Pampas, Argentina. For that purpose, a barley model was first calibrated and validated and then used to expand field research information to a range of conditions that are not only much wider but also more realistic than experiments on experimental farms. Yield of the modern cultivar was at least equal to (under the lowest yielding conditions) or significantly higher (under most growing conditions) than that of the traditional cultivar. Averaged across all the scenarios, yield was ~20% higher in the modern than in the traditional cultivar. The average attainable yield represented 42% of the yield potential in the shallow and 79% in the deep soil profiles. Yield advantage of the high yielding cultivar was based on using N more efficiently, which not only determined higher attainable yields but also reduced the requirements of soil N to achieve a particular yield level. Farmers would face little risk in adopting higher yielding cultivars in both high and low yielding environments and even in the latter ones N fertilisation could be beneficial in most years.
Additional keywords: attainable yield, breeding by management interaction, grain nitrogen-use efficiency, malting barley, yield potential.
References
Abeledo LG, Calderini DF, Miralles DJ, Dreccer MF (1999) Generation and validation of the genetic coefficients of two and six-rowed barley cultivars for the CERES-Barley simulation model. III Congreso Latinoamericano de Cebada (Barley Latin-America Congress). [In Spanish] (Eds S Germán, S Stewart, A Peculio, J Elizondo, F Gamba, I González, E Ordoqui, D Luizzi, D Musetti) pp. 77. (Mesa Nacional de Entidades de Cebada Cervecera: Colonia)Abeledo LG, Calderini DF, Slafer GA (2003a) Genetic improvement of barley yield potential and its physiological determinants in Argentina (1944–1998). Euphytica 130, 325–334.
| Genetic improvement of barley yield potential and its physiological determinants in Argentina (1944–1998).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXis1Cjsbs%3D&md5=cb0df8045942aba4dfb66e095a84626aCAS |
Abeledo LG, Calderini DF, Slafer GA (2003b) Genetic improvement of yield responsiveness to nitrogen fertilization and its physiological determinants in barley. Euphytica 133, 291–298.
| Genetic improvement of yield responsiveness to nitrogen fertilization and its physiological determinants in barley.Crossref | GoogleScholarGoogle Scholar |
Abeledo LG, Calderini DF, Slafer GA (2008) Nitrogen economy in old and modern malting barleys. Field Crops Research 106, 171–178.
| Nitrogen economy in old and modern malting barleys.Crossref | GoogleScholarGoogle Scholar |
Acreche M, Briceño-Félix G, Martín Sánchez JA, Slafer GA (2008) Physiological bases of genetic gains in Mediterranean bread wheat yield in Spain. European Journal of Agronomy 28, 162–170.
| Physiological bases of genetic gains in Mediterranean bread wheat yield in Spain.Crossref | GoogleScholarGoogle Scholar |
Acreche M, Briceño-Félix G, Martín Sánchez JA, Slafer GA (2009) Grain number determination in an old and a modern Mediterranean wheat as affected by pre-anthesis shading. Crop & Pasture Science 60, 271–279.
| Grain number determination in an old and a modern Mediterranean wheat as affected by pre-anthesis shading.Crossref | GoogleScholarGoogle Scholar |
Alberdi JI, Guyot F (2001) Modelos de Producción de trigo en regiones CREA. Región Sudoeste. In ‘Trigo. Cuaderno de Actualización Técnica CREA No. 63’. (Ed. EH Satorre) pp. 119–122. (Área de Comunicaciones de AACREA: Buenos Aires)
Angus JF (2001) Nitrogen supply and demand in Australian agriculture. Australian Journal of Experimental Agriculture 41, 277–288.
| Nitrogen supply and demand in Australian agriculture.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXkt1CrsbY%3D&md5=ce544cbb382a292f50b15b46ea0a0707CAS |
Angus JF, Bowden JW, Keating BA (1993) Modelling nutrient responses in the field. Plant and Soil 155–156, 57–66.
| Modelling nutrient responses in the field.Crossref | GoogleScholarGoogle Scholar |
Anwar MR, O’Leary GJ, Rab MA, Fisher PD, Armstrong RD (2009) Advances in precision agriculture in south-eastern Australia. V. Effect of seasonal conditions on wheat and barley yield response to applied nitrogen across management zones. Crop & Pasture Science 60, 901–911.
| Advances in precision agriculture in south-eastern Australia. V. Effect of seasonal conditions on wheat and barley yield response to applied nitrogen across management zones.Crossref | GoogleScholarGoogle Scholar |
Bannayan M, Crout NMJ (1999) A stochastic modelling approach for real-time forecasting of winter wheat yield. Field Crops Research 62, 85–95.
| A stochastic modelling approach for real-time forecasting of winter wheat yield.Crossref | GoogleScholarGoogle Scholar |
Bell MA, Fischer RA, Byerlee D, Sayre K (1995) Genetic and agronomic contributions to yield gains: a case study for wheat. Field Crops Research 44, 55–65.
| Genetic and agronomic contributions to yield gains: a case study for wheat.Crossref | GoogleScholarGoogle Scholar |
Brancourt-Hulmel M, Heumez E, Pluchard P, Beghin D, Depatureaux C, Giraud A, Le Gouis J (2005) Indirect versus direct selection of winter wheat for low-input or high-input levels. Crop Science 45, 1427–1431.
| Indirect versus direct selection of winter wheat for low-input or high-input levels.Crossref | GoogleScholarGoogle Scholar |
Calderini DF, Slafer GA (1999) Has yield stability changed with genetic improvement of wheat yield? Euphytica 107, 51–59.
| Has yield stability changed with genetic improvement of wheat yield?Crossref | GoogleScholarGoogle Scholar |
Calderini DF, Torres-León S, Slafer GA (1995) Consequences of wheat breeding on nitrogen and phosphorus yield, grain nitrogen and phosphorus concentration and associated traits. Annals of Botany 76, 315–322.
| Consequences of wheat breeding on nitrogen and phosphorus yield, grain nitrogen and phosphorus concentration and associated traits.Crossref | GoogleScholarGoogle Scholar |
Calviño P, Sadras V (2002) On-farm assessment of constraints to wheat yield in the south-eastern Pampas. Field Crops Research 74, 1–11.
| On-farm assessment of constraints to wheat yield in the south-eastern Pampas.Crossref | GoogleScholarGoogle Scholar |
Ceccarelli S, Grando S, Bailey E (2001) Farmer participation in barley breeding in Syria, Morocco and Tunisia. Euphytica 122, 521–536.
| Farmer participation in barley breeding in Syria, Morocco and Tunisia.Crossref | GoogleScholarGoogle Scholar |
Cossani CM, Thabet C, Mellouli HJ, Slafer GA (2011) Improving wheat yields through N fertilization in Mediterranean Tunisia. Experimental Agriculture (In press).
Dardanelli JL, Bachmeier OA, Sereno R, Gil R (1997) Rooting depth and soil water extraction patterns of different crops in a silty loam Haplustoll. Field Crops Research 54, 29–38.
| Rooting depth and soil water extraction patterns of different crops in a silty loam Haplustoll.Crossref | GoogleScholarGoogle Scholar |
De Vita P, Li Destri Nicosia O, Nigro F, Platani C, Riefolo C, Di Fonzo N, Cattivelli L (2007) Breeding progress in morpho-physiological, agronomical and qualitative traits of durum wheat cultivars released in Italy during the 20th century. European Journal of Agronomy 26, 39–53.
| Breeding progress in morpho-physiological, agronomical and qualitative traits of durum wheat cultivars released in Italy during the 20th century.Crossref | GoogleScholarGoogle Scholar |
Eitzinger J, Trnk M, Hösch J, Žalud M, Dubrovský M (2004) Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions. Ecological Modelling 171, 223–246.
| Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions.Crossref | GoogleScholarGoogle Scholar |
Evans LT, Fischer RA (1999) Yield potential: its definition, measurement, and significance. Crop Science 39, 1544–1551.
| Yield potential: its definition, measurement, and significance.Crossref | GoogleScholarGoogle Scholar |
FAO (2010) Food and Agriculture Organization of the United Nations. World Agricultural Information Centre, Agriculture data. Available at: www.fao.org/ (accessed 16 March 2011)
Fischer RA (2009) Farming systems of Australia: exploiting the synergy between genetic improvement and agronomy. In ‘Crop physiology: applications for genetic improvements and agronomy’. (Eds V Sadras, DF Calderini) pp. 23–54. (Elsevier: Amsterdam)
Fischer RA, Edmeades GO (2010) Breeding and cereal yield progress. Crop Science 50, S85–S98.
| Breeding and cereal yield progress.Crossref | GoogleScholarGoogle Scholar |
Ghaffari A, Cook HF, Lee HC (2001) Simulating winter wheat yields under temperate conditions: exploring different management scenarios. European Journal of Agronomy 15, 231–240.
| Simulating winter wheat yields under temperate conditions: exploring different management scenarios.Crossref | GoogleScholarGoogle Scholar |
González-Montaner J (2001) Modelos de Producción de trigo en regiones CREA. Región Mar y Sierras. In ‘Trigo. Cuaderno de Actualización Técnica CREA No. 63’. (Ed. EH Satorre) pp. 119–122. (Área de Comunicaciones de AACREA: Buenos Aires)
Guarda G, Padovan S, Delogu G (2004) Yield, nitrogen-use efficiency and baking quality of old and modern Italian bread-wheat cultivars grown at different nitrogen levels. European Journal of Agronomy 21, 181–192.
| Yield, nitrogen-use efficiency and baking quality of old and modern Italian bread-wheat cultivars grown at different nitrogen levels.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXntVartbs%3D&md5=79f6e77fe8f4c5a7addf83027b15c50eCAS |
Hunt LA, Pararajasingham S, Jones JW, Hoogenboom G, Imamura DT, Ogoshi RM (1993) GENCALC: software to facilitate the use of crop models for analyzing field experiments. Agronomy Journal 85, 1090–1094.
| GENCALC: software to facilitate the use of crop models for analyzing field experiments.Crossref | GoogleScholarGoogle Scholar |
INTA (1997) ‘Guía práctica para el cultivo de Trigo. Campaña 1997.’ (Instituto de Tecnología Agropecuaria. Secretaría de Agricultura, Ganadería, Pesca y Alimentación. Ministerio de Economía y Obras y Servicios Públicos: Buenos Aires)
Lester DW, Birch CJ, Dowling CW (2010) Fertiliser N and P application on two Vertosols in north-eastern Australia. 3. Grain N uptake and yield by crop/fallow combination, and cumulative grain N removal and fertiliser N recovery in grain. Crop & Pasture Science 61, 24–31.
| Fertiliser N and P application on two Vertosols in north-eastern Australia. 3. Grain N uptake and yield by crop/fallow combination, and cumulative grain N removal and fertiliser N recovery in grain.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhsFOmsrnJ&md5=450ed4563c7c5c2fe63135e2b0546d5cCAS |
Martiniello P, Delogu G, Oboardi M, Boggini G, Stanca AM (1987) Breeding progress in grain yield and selected agronomic characters of winter barley (Hordeum vulgare L.) over the last quarter of a century. Plant Breeding 99, 289–294.
| Breeding progress in grain yield and selected agronomic characters of winter barley (Hordeum vulgare L.) over the last quarter of a century.Crossref | GoogleScholarGoogle Scholar |
Meinke H, Hammer GL, Want P (1993) Potential soil water extraction by sunflower on a range of soils. Field Crops Research 32, 59–81.
| Potential soil water extraction by sunflower on a range of soils.Crossref | GoogleScholarGoogle Scholar |
Muñoz P, Voltas J, Araus JL, Igartua E, Romagosa I (1998) Changes over time in the adaptation of barley releases in north-eastern Spain. Plant Breeding 117, 531–535.
| Changes over time in the adaptation of barley releases in north-eastern Spain.Crossref | GoogleScholarGoogle Scholar |
Nain AS, Kersebaum KC (2004) Calibration and validation of CERES model for simulating. In ‘Modelling water and nutrient dynamics in soil-crop systems’. (Eds KC Kersebaum, JM Hecker, W Mirschel, M Wegehenkel) pp. 161–181. (Springer: Dordrecht, The Netherlands)
Ortiz-Monasterio JI, Sayre KD, Rajaram S, McMahom M (1997) Genetic progress in wheat yield and nitrogen use efficiency under four nitrogen rates. Crop Science 37, 898–904.
| Genetic progress in wheat yield and nitrogen use efficiency under four nitrogen rates.Crossref | GoogleScholarGoogle Scholar |
Passarella VS, Savin S, Abeledo LG, Slafer GA (2003) Malting quality as affected by barley breeding (1944–1998) in Argentina. Euphytica 134, 161–167.
| Malting quality as affected by barley breeding (1944–1998) in Argentina.Crossref | GoogleScholarGoogle Scholar |
Passioura JB (2002) Environmental biology and crop improvement. Functional Plant Biology 29, 537–546.
| Environmental biology and crop improvement.Crossref | GoogleScholarGoogle Scholar |
Pswarayi A, van Eeuwijk FA, Ceccarelli S, Grando S, Comadran J, Russell JR, Francia E, Pecchioni N, Destri OL, Akar T, Al-Yassin A, Benbelkacem A, Choumane W, Karrou M, Ouabbou H, Bort J, Araus JL, Molina-Cano JL, Thomas WTB, Romagosa I (2008) Barley adaptation and improvement in the Mediterranean basin. Plant Breeding 127, 554–560.
| Barley adaptation and improvement in the Mediterranean basin.Crossref | GoogleScholarGoogle Scholar |
Sadras VO, Calderini DF, Connor D (2009) Sustainable agriculture and crop physiology. In ‘Crop physiology. Applications for genetic improvement and agronomy’. (Eds VO Sadras, DF Calderini) pp. 1–20. (Academic Press: Burlington, MA)
Sadras VO, Calviño PA (2001) Quantification of grain yield response to soil depth in soybean, maize, sunflower, and wheat. Agronomy Journal 93, 577–583.
| Quantification of grain yield response to soil depth in soybean, maize, sunflower, and wheat.Crossref | GoogleScholarGoogle Scholar |
Salazar Lea Plaza JC Moscatelli G (1989 )
Savin R, Molina-Cano JL (2002) Changes in malting quality and its determinants in response to abiotic stresses. In ‘Barley: recent advances from molecular biology to agronomy of yield and quality’. (Eds GA Slafer, JL Molina-Cano, R Savin, JL Araus, I Romagosa) pp. 523–550. (Food Product: New York)
Savin R, Satorre EH, Hall AJ, Slafer GA (1995) Assessing strategies for wheat cropping in the monsoonal climate of the Pampas using the CERES-Wheat simulation model. Field Crops Research 42, 81–91.
| Assessing strategies for wheat cropping in the monsoonal climate of the Pampas using the CERES-Wheat simulation model.Crossref | GoogleScholarGoogle Scholar |
Sinebo W (2005) Trade off between yield increase and yield stability in three decades of barley breeding in a tropical highland environment. Field Crops Research 92, 35–52.
| Trade off between yield increase and yield stability in three decades of barley breeding in a tropical highland environment.Crossref | GoogleScholarGoogle Scholar |
Slafer GA, Andrade FH, Feingold SE (1990) Genetic improvement of bread wheat (Triticum aestivum L.) in Argentina: relationships between nitrogen and dry matter. Euphytica 50, 63–71.
| Genetic improvement of bread wheat (Triticum aestivum L.) in Argentina: relationships between nitrogen and dry matter.Crossref | GoogleScholarGoogle Scholar |
Slafer GA, Satorre EH, Andrade FH (1994) Increases in yield in bread wheat from breeding and associated physiological changes. In ‘Genetic improvement of field crops’. (Ed. GA Slafer) pp. 1–68. (Marcel Dekker: New York)
Stapper M, Fischer RA (1990) Genotype, sowing date and plant spacing influence on high-yielding irrigated wheat in southern New South Wales. III. Potential yields and optimum flowering dates. Australian Journal of Agricultural Research 41, 1043–1056.
| Genotype, sowing date and plant spacing influence on high-yielding irrigated wheat in southern New South Wales. III. Potential yields and optimum flowering dates.Crossref | GoogleScholarGoogle Scholar |
Tambussi EA, Nogues E, Ferrio P, Voltas J, Araus JL (2005) Does higher yield potential improve barley performance in Mediterranean conditions? A case study. Field Crops Research 91, 149–160.
| Does higher yield potential improve barley performance in Mediterranean conditions? A case study.Crossref | GoogleScholarGoogle Scholar |
Travasso MI, Magrin GO (1998) Utility of CERES-Barley under Argentine conditions. Field Crops Research 57, 329–333.
| Utility of CERES-Barley under Argentine conditions.Crossref | GoogleScholarGoogle Scholar |
Tsuji GY, Jones JW, Balas S (1994) ‘DSSAT version 3.’ (University of Hawaii: Honolulu)
van Ittersum MK, Rabbinge R (1997) Concepts in production ecology for analysis and quantification of agricultural input–output combinations. Field Crops Research 52, 197–208.
| Concepts in production ecology for analysis and quantification of agricultural input–output combinations.Crossref | GoogleScholarGoogle Scholar |
