Blog List

Tuesday 13 December 2016

Crop Yields Around the World: Closing the Gap and Raising the Potential

Published Date
pp 2720-2740

Author 

R. A. (Tony) Fischer

Definition of Subject
The entry assumes that yield increase will continue to play a dominant role in world food security, as it has over the last 60 years. It is restricted to annual grain crops, since these dominate the world’s arable landscape (>70%) and humankind’s food supply (>70%), including grain used as livestock feed. Crop yield is the weight of grain, at some agreed standard moisture content, harvested per unit of land area per crop (note, there can be two or even three annual crops per year in some favored environments, meaning a cropping intensity of 200% or 300%, respectively). The starting point for yield is usually the field, district, regional, or national average yield in kg or t per hectare, as reported in surveys or local or national statistics. Here this is referred to as farm yield (FY, t/ha). This and many related cropping statistics are collated annually for all countries by FAO (
This is an excerpt from the content

References

  1. 1.
    Evans LT, Fischer RA (1999) Yield potential: its definition, measurement and significance. Crop Sci 34:1544–1551CrossRef
  2. 2.
    Passioura JB, Angus JF (2010) Improving productivity of crops in water limited environments. Adv Agron 106:37–75CrossRef
  3. 3.
    Badawi AT (1998) Sustainability of rice production in Egypt, IRC 98/7-2. Cairo, Egypt
  4. 4.
    Evans LT (1998) Feeding the ten billion: plants and population growth. Cambridge University Press, Cambridge
  5. 5.
    Fischer RA, Byerlee D, Edmeades GO (2009) Can technology deliver on the yield change to 2050? Paper prepared for expert meeting on “How to Feed the World in 2050”, FAO, Rome,24–26 June 2009. (www.​fao.​org/​wsfs/​forum2050/​wsfs-background-documents/​wsfs-expert-papers/​en/​)
  6. 6.
    Mackay I, Horwell S, Garner J, White J, McKee J, Philpott H (2010) Re-analysis of the historical series of UK variety trials to quantify the contributions of genetic and environmental factors to trends and variability in yield over time. Theor Appl Genet 121 (in press)
  7. 7.
    Hammer GL, Dong Z, McLean G, Doherty A, Messina C, Schussler J, Zinselmeier C, Paszkiewicz S, Cooper M (2009) Can changes in canopy and/or root system architecture explain historical maize yield trends in the U.S. Corn Belt? Crop Sci 49:299–312CrossRef
  8. 8.
    Edgerton MD (2009) Increasing crop productivity to meet global needs for feed, food and fuel. Plant Physiol 149:7–13CrossRef
  9. 9.
    Fischer RA, Edmeades GO (2010) Breeding and cereal yield progress. Crop Sci 50:S-85–S-98CrossRef
  10. 10.
    Bhatia VS, Singh P, Wani SP, Chauhan GS, Rao AVRK, Misra AK, Sirinuas K (2008) Analysis of potential yields and yield gaps of rainfed soybean in India using CROPGRO-Soybean model. Agric Forest Meteorol 148:1252–1265CrossRef
  11. 11.
    Murty MVR, Singh P, Wani SP, Khairwal IS, Srinivas K (2007) Yield gap analysis of sorghum and pearl millet in India using simulation modeling. J SAT Agric Res 5:1–85
  12. 12.
    Lobell DB, Cassman KG, Field CB (2009) Crop yield gaps: their importance, magnitudes, and causes. Annu Rev Environ Resour 34:4.1–4.26CrossRef
  13. 13.
    Titonell P, Shepherd KD, Vanlauwe B, Giller KE (2008) Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya – an application of classification and regression tree analysis. Agric Ecosyst Environ 123:137–150CrossRef
  14. 14.
    Byerlee D (1992) Technical change, productivity, and sustainability in irrigated cropping systems of South Asia: Emerging issues in the post-green revolution Era. J Int Dev 4:477–496CrossRef
  15. 15.
    Marsh SP, Pannell DJ, Lindner RK (2000) The impact of agricultural extension on adoption and diffusion of lupins as a new crop in western Australia. Aust J Exp Agric 40:571–583CrossRef
  16. 16.
    Llewellyn RS, D’Emden FH (2009) Adoption of no-till cropping practices in Australian grain growing regions. Report to GRDC, Canberra
  17. 17.
    Byerlee D, Moya P (1993) Impacts of international wheat breeding research in the developing world, 1966–90. D.F. CIMMYT, Mexico
  18. 18.
    Morris M, Kelly VA, Kopicki RJ, Byerlee D (2007) Fertilizer use in African agriculture, Lessons learned and good practice guide. The World Bank, WashingtonCrossRef
  19. 19.
    de Wit CT (1992) Resource use efficiency in agriculture. Agric Syst 40:125–131CrossRef
  20. 20.
    Fischer RA (2009) Farming systems in Australia: exploiting the synergy between genetic improvement and agronomy. In: Sadras V, Calderini D (eds) Crop physiology: applications for genetic improvement and agronomy. Elsevier, Amsterdam, pp 23–54
  21. 21.
    Paroda RS (2004) Scaling up: how to reach a billion resource-poor farmers in developing countries. Plenary paper, 4th international crop science congress, Brisbane. (www.​cropscience.​org.​au/​icsc2004/​plenary/​4/​223_​paroda.​htm)
  22. 22.
    Dobermann A, Witt C, Dawe D, Abdulrachman S, Gines HC, Nagarajan R, Satawathananont S, Son TT, Wang GH, Chien NV, Thoa VTK, Phung CV, Stalin P, Muthukrishnan P, Ravi V, Babu M, Chatuporn S, Sookthongsa J, Sun Q, Fu R, Simbahan GC, Adviento MAA (2002) Site-specific nutrient management for intensive rice cropping in Asia. Field Crops Res 74:37–66CrossRef
  23. 23.
    Dobermann A, Mackill D (2008) Investment returns opportunities in rainfed/irrigated environments of South Asia. Unpublished discussion paper, IRRI, The Philippines, p 7
  24. 24.
    Lobell DB, Asner GP, Ortiz-Monasterio JI, Benning TL (2003) Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties. Agric Ecosyst Env 94:205–220CrossRef
  25. 25.
    Ortiz-Monasterio JI, Lobell DB (2007) Remote sensing assessment of yield losses due to sub-optimal planting dates and fallow period weed management. Field Crops Res 101:80–87CrossRef
  26. 26.
    Lobell DB, Ortiz-Monasterio JI, Asner GP, Naylor RL, Falcon WP (2005) Combining field surveys, remote sensing, and regression trees to understand yield variations in an irrigated wheat landscape. Agron J 97:241–249
  27. 27.
    Grassini P, Hall AJ, Mercau J (2009) Benchmarking sunflower water productivity in semiarid environments. Field Crops Res 110:251–262CrossRef
  28. 28.
    Hochman Z, Holzworth D, Hunt JR (2009) Potential to improve on-farm wheat yield and WUE in Australia. Crop Pasture Sci 60:708–716CrossRef
  29. 29.
    Ekboir J (ed) (2002) CIMMYT 2000–2001 World wheat overview and outlook: developing no-till packages for small-scale farmers. D.F. CIMMYT, Mexico
  30. 30.
    Oerke EC (2006) Crop losses to pests. J Agric Sci 144:31–43CrossRef
  31. 31.
    James C (2008) Global Status of Commercialized Biotech/GM Crops: 2008. ISAAA brief no. 39. ISAAA, Ithaca
  32. 32.
    Luque SF, Cirilo AG, Otegui ME (2006) Genetic gains in grain yield and related physiological attributes in Argentine maize hybrids. Field Crops Res 95:383–397CrossRef
  33. 33.
    Campos H, Cooper M, Habben JE, Edmeades GO, Schussler JR (2004) Improving drought tolerance in maize: a view from industry. Field Crops Res 90:19–34CrossRef
  34. 34.
    Evans LT (1993) Crop evolution, adaptation and yield. Cambridge University Press, Melbourne
  35. 35.
    Evenson RE, Gollin D (eds) (2003) Crop variety improvement and its effect on productivity: the impact of international agricultural research. CAB International, Wallingford
  36. 36.
    Byerlee D, Dubin HJ (2010) Crop improvement in the CGIAR as a global success story of open access and international collaboration. Int J Common 4:452–480
  37. 37.
    Duvick DN (2005) The contribution of breeding to yield advances in maize (Zea mays L.). Adv Agron 86:83–145CrossRef
  38. 38.
    Comai L, Young K, Till BJ, Reynolds SH, Greene EA, Codomo CA, Enns LC, Johnson JE, Burtner C, Odden AR, Henikoff S (2004) Efficient discovery of DNA polymorphisms in natural populations by Ecotilling. Plant J 37:778–786CrossRef
  39. 39.
    Bhullar NK, Street K, Mackay M, Yahiaoui N, Keller B (2009) Unlocking wheat genetic resources for the molecular identification of previously undescribed functional alleles at the Pm3 resistance locus. Proc Natl Acad Sci USA 106:9519–9524CrossRef
  40. 40.
    Phillips R (2010) Mobilizing science to break yield barriers. Crop Sci 50:S-99–S-108CrossRef
  41. 41.
    Jennings PR (1964) Plant type as a rice breeding objective. Crop Sci 4:13–15CrossRef
  42. 42.
    Tollenaar M, Lee EA (2006) Dissection of physiological processes underlying grain yield in maize by examining genetic improvement and heterosis. Maydica 51:399–408
  43. 43.
    Edmeades GO, Bolaños J, Elings A, Ribaut J-M, Bänziger M, Westgate ME (2000) The role and regulation of the anthesis-silking interval in maize. In: Westgate ME, Boote KJ (eds) Physiology and modeling kernel set in Maize. Crop Science Society of America special publication no. 29. CSSA, Madison, pp 43–73
  44. 44.
    Brennan JP, Condon AG, Van Ginkel M, Reynolds MP (2007) An economic assessment of the use of physiological selection for stomatal aperture-related traits in the CIMMYT wheat breeding programme. J Agric Sci 145:187–194CrossRef
  45. 45.
    Babar B, Reynolds MP, Van Ginkel M, Klatt AR, Raun WR, Stone ML (2006) Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat. Crop Sci 46:1046–1057CrossRef
  46. 46.
    Richards RA (2004) Physiological traits used in the breeding of new cultivars for water-scarce environments. In: Proceedings of the 4th international crop science congress, Brisbane. (www.​cropscience.​org.​au/​ICSC2004/​symposia/​1/​3/​1470_​richardsr.​htm)
  47. 47.
    Ji X, Shiran B, Wan J, Lewis DC, Jenkins CLD, Condon AG, Richards RA, Dolferus R (2010) Importance of pre-anthesis anther sink strength for maintenance of grain number during reproductive stage water stress in wheat. Plant Cell Environ 33(6):926–942CrossRef
  48. 48.
    Heffner EL, Sorrells ME, Jannick J-L (2009) Genomic selection for crop improvement. Crop Sci 49:1–12CrossRef
  49. 49.
    Eathington SR, Crosbie TM, Edwards MD, Reiter RS, Bull JK (2007) Molecular markers in a commercial breeding program. Crop Sci 47(S3):S154–S163
  50. 50.
    Rebetzke GJ, van Herwaarden AF, Jenkins C, Weiss M, Lewis D, Ruuska S, Tabe L, Fettell NA, Richards RA (2008) Quantitative trait loci for water-soluble carbohydrates and association with agronomic traits in wheat. Aust J Agric Res 59:891–905CrossRef
  51. 51.
    Reynold M, Tuberosa R (2008) Translational research impacting on crop productivity in drought-prone environments. Curr Opin Plant Biol 11:171–179CrossRef
  52. 52.
    Chapman SC, Cooper M, Hammer GL (2002) Using crop simulation to generate genotype by environment interaction effects for sorghum in water-limited environments. Aust J Agric Res 53:379–389CrossRef
  53. 53.
    Sinclair TR, Purcell LC (2005) Is a physiological perspective relevant in a “genocentric” age? J Exp Bot 56:2777–2782CrossRef
  54. 54.
    Fischer RA (2008) Improvements in wheat yield: Farrer, physiology and functional genomics. Agric Sci NS 1/08:6–18
  55. 55.
    Meyer FD, Talbert LE, Martin JM, Lanning SP, Greene TW, Giroux MJ (2007) Field evaluation of transgenic wheat expressing a modified ADP-glucose pyrophosphorylase large subunit. Crop Sci 47:336–347CrossRef
  56. 56.
    Nelson DE, Repetti PP, Adams TR, Creelman RA, Wu J, Warner DC, Anstron DC, Benson RJ, Castiglioni PP, Donnarummo MG, Hinchley BS, Kumimoto RW, Maszle DR, Canales RD, Krolikowski KA, Dotson SB, Gutterson N, Ratcliffe OJ, Heard JE (2007) Plant nuclear factor Y(NF-Y) B subunits confer drought tolerance and lead to improved corn yields on water-limited acres. Proc Natl Acad Sci USA 104:16450–16455CrossRef
  57. 57.
    Castiglioni P, Warner D, Bensen RJ, Anstrom DC, Harrison J, Stoecker M, Abad M, Kumar G, Salvador S, D’Ordine R, Navarro S, Back S, Fernandes M, Targolli J, Dasgupta S, Bonin C, Luethy M, Heard JE (2008) Bacterial RNA chaperones confer abiotic stress tolerance in plants and improved grain yield in maize under water-limited conditions. Plant Physiol 147:446–455CrossRef
  58. 58.
    Spiertz JHJ, Struik PC, van Laar HH (eds) (2007) Scale and complexity in plant systems research: gene-plant-crop relations. Proc Frontis Workshop, Wageningen, The Netherlands, April 24–26, 2006. Springer-Verlag, New York
  59. 59.
    Zhu X-G, Long SP, Ort DR (2008) What is the maximum efficiency with which photosynthesis can convert solar energy into biomass? Curr Opin Biotech 19:153–159CrossRef
  60. 60.
    Sylvester-Bradley R, Foulkes J, Reynolds M (2005) Future wheat yields: evidence, theory and conjecture. In Sylvester-Bradley R, Wiseman J (eds) Proc 61st Easter School in Agricultural Sciences. Yield of farmed species. Nottingham University Press, pp 233–260
  61. 61.
    Hubert B, Rosegrant MW, van Boekel MAJS, Ortiz R (2010) The future of food: scenarios for 2050. Crop Sci 50:S33–S50CrossRef
  62. 62.
    Tweeten L, Thompson SR (2008) Long-term agricultural output supply-demand balance and real farm and food prices. Working paper AEDE-WP 0044-08, Ohio State University

For further details log on website :
http://link.springer.com/referenceworkentry/10.1007/978-1-4419-0851-3_324

No comments:

Post a Comment

Advantages and Disadvantages of Fasting for Runners

Author BY   ANDREA CESPEDES  Food is fuel, especially for serious runners who need a lot of energy. It may seem counterintuiti...