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Early maturing spring wheat in Nordic wildtype NAM-B1 germplasm for short-duration alternative wheat-producing regions

Published online by Cambridge University Press:  26 April 2019

Bethany F. Econopouly*
Affiliation:
Department of Crop and Soil Sciences, Washington State University, Mount Vernon, WA, USA
Bob M. Van Veldhuizen
Affiliation:
Department of Agriculture and Horticulture, University of Alaska, Fairbanks, AK, USA
Steven R. Lyon
Affiliation:
Department of Crop and Soil Sciences, Washington State University, Mount Vernon, WA, USA
David W. Killilea
Affiliation:
Nutrition and Metabolism Center, Children's Hospital of Oakland Research Institute, Oakland, CA, USA
Mingchu Zhang
Affiliation:
Department of Agriculture and Horticulture, University of Alaska, Fairbanks, AK, USA
Stephen S. Jones
Affiliation:
Department of Crop and Soil Sciences, Washington State University, Mount Vernon, WA, USA
*
*Corresponding author. E-mail: Bethany.Econopouly@wsu.edu

Abstract

In the USA, western Washington (WWA) and the Alaska (AK) Interior are two regions where maritime and continental climates, high latitude and cropping systems necessitate early maturing spring wheat (Triticum aestivum L.). Both regions aim to increase the production of hard spring bread wheat for human consumption to support regional agriculture and food systems. The Nordic region of Europe has a history of breeding for early maturing spring wheat and also experiences long daylengths with mixed maritime and continental climates. Nordic wheat also carries wildtype (wt) NAM-B1, an allele associated with accelerated senescence and increased grain protein and micronutrient content, at a higher frequency than global germplasm. Time to senescence, yield, protein and mineral content were evaluated on 42 accessions of Nordic hard red spring wheat containing wt NAM-B1 over 2 years on experimental stations in WWA and the AK Interior. Significant variation was found by location and accession for time to senescence, suggesting potential parental lines for breeding programmes targeting early maturity. Additionally, multiple regression analysis showed that decreased time to senescence correlated negatively with grain yield and positively with grain protein, iron and zinc content. Breeding for early maturity in these regions will need to account for this potential trade-off in yield. Nordic wt NAM-B1 accessions with early senescence yet with yields similar to regional checks are reported. Collaboration among alternative wheat regions can aid in germplasm exchange and varietal development as shown here for the early maturing trait.

Type
Research Article
Copyright
Copyright © NIAB 2019 

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References

AgWeatherNet (2018) Daily Data. Washington State University Mount Vernon Station. Prosser, WA. [cited 29 Jan 2018]. Available at https://weather.wsu.edu /Google Scholar
Allen, L, de Benoist, B, Dary, O and Hurrell, R (eds) (2006) Guidelines on food fortification with micronutrients. Geneva: World Health Organization, pp. xviii, 3–4.Google Scholar
Asplund, L, Bergkvist, G, Leino, MW, Westerbergh, A and Weih, M (2013) Swedish spring wheat varieties with the rare high grain protein allele of NAM-B1 differ in leaf senescence and grain mineral content. PLoS ONE 8: e59704.Google Scholar
Balarajan, Y, Ramakrishnan, U, Øzaltin, E, Shankar, AH and Subramanian, SV (2011) Anaemia in low-income and middle-income countries. Lancet 378: 21232135.Google Scholar
Bauer, A, Fanning, C, Enz, JW and Eberlein, CV (1984) Use of Growing-Degree Days to Determine Spring Wheat Growth Stages. EB-37. Fargo: North Dakota Cooperative Extension.Google Scholar
Bouis, HE and Saltzman, A (2017) Improving nutrition through biofortification: a review of evidence from HarvestPlus, 2003 through 2016. Global Food Security 12: 4958.Google Scholar
Carter, AH, Santra, DK and Kidwell, KK (2012) Assessment of the effects of the Gpc-B1 allele on senescence rate, grain protein concentration and mineral content in hard red spring wheat (Triticum aestivum L.) from the Pacific Northwest Region of the USA. Plant Breeding 131: 6268.Google Scholar
de Mendiburu, F (2017) agricolae: Statistical Procedures for Agricultural Research. R package version 1.2-8. Available at https://CRAN.R-project.org/package=agricolaeGoogle Scholar
du Toit, L, Foss, CR and Jones, LJ (2007a) Crop Profile for Cabbage Seed in Washington. Washington State Publication MISC0358E. Pullman: Washington State University.Google Scholar
du Toit, L, Foss, CR and Jones, LJ (2007b) Crop Profile for Table Beet Seed in Washington. Washington State Publication MISCO356E. Pullman: Washington State University.Google Scholar
Engle-Stone, R, Nankap, M, Ndjebayi, AO, Allen, LH, Shahab-Ferdows, S, Hampel, D, Killilea, DW, Gimou, MM, Houghton, LA, Friedman, A, Tarini, A, Stamm, RA and Brown, KH (2017) Iron, zinc, folate, and vitamin B-12 Status increased among women and children in Yaoundé and Douala, Cameroon, 1 year after introducing fortified wheat flour. Journal of Nutrition 147: 14261436.Google Scholar
Fan, M-S, Zhao, F-J, Fairweather-Tait, SJ, Poulton, PR, Dunham, SJ and McGrath, SP (2008) Evidence of decreasing mineral density in wheat grain over the last 160 years. Journal of Trace Elements in Medicine and Biology 22: 315324.Google Scholar
Garvin, DF, Welch, RM and Finley, JW (2006) Historical shifts in the seed mineral micronutrient concentration of US hard red winter wheat germplasm. Journal of the Science of Food and Agriculture 86: 22132220.Google Scholar
GraphPad (2018) [cited 16 Jan 2018] QuickCalcs. Available at https://www.graphpad.com/quickcalcs/Grubbs1.cfmGoogle Scholar
Gregersen, PL, Culetic, A, Boschian, L and Krupinska, K (2013) Plant senescence and crop productivity. Plant Molecular Biology 82: 603622.Google Scholar
Guttieri, MJ, Baenziger, PS, Frels, K, Carver, B, Arnall, B and Waters, BM (2015) Variation for grain mineral concentration in a diversity panel of current and historical Great Plains hard winter wheat germplasm. Crop Science 55: 10351052.Google Scholar
Hagenblad, J, Asplund, L, Balfourier, F, Ravel, C and Leino, MW (2012) Strong presence of the high grain protein content allele of NAM-B1 in Fennoscandian wheat. Theoretical and Applied Genetics 125: 16771686.Google Scholar
Hills, KM, Goldberger, JR and Jones, SS (2013) Commercial bakers and the relocation of wheat in western Washington State. Agriculture and Human Values 30: 365378.Google Scholar
Integrated Plant Protection Center (2016) IPM Weather Data, Degree-Days, and Plant Disease Risk Models for Agricultural and Pest Management Decision Making in the US. Corvallis: Oregon State University. [cited 23 Jan 2018]. Available at http://uspest.org/wea/Google Scholar
Iqbal, M, Navabi, A, Salmon, DF, Yang, R-C, Murdoch, BM, Moore, SS and Spaner, D (2007a) Genetic analysis of flowering and maturity time in high latitude spring wheat. Euphytica 154: 207218.Google Scholar
Iqbal, M, Navabi, A, Salmon, DF, Yang, R-C and Spaner, D (2007b) Simultaneous selection for early maturity, increased grain yield and elevated grain protein content in spring wheat. Plant Breeding 126: 244250.Google Scholar
Joppa, LR, Du, C, Hart, GE and Hareland, GA (1997) Mapping gene(s) for a grain protein in tetraploid wheat (Triticum turgidum L.) using a population of recombinant inbred chromosome lines. Crop Science 37: 15861589.Google Scholar
King, JC, Brown, KH, Gibson, RS, Krebs, NF, Lowe, NM, Siekmann, JH and Raiten, DJ (2016) Biomarkers of nutrition for development (BOND) – zinc review. Journal of Nutrition 146(Suppl): 858S885S.Google Scholar
Liu, H, Wang, ZH, Li, F, Li, K, Yang, N, Yang, Y, Huang, D, Liang, D, Zhao, H, Mao, H, Liu, J and Qiu, W (2014) Grain iron and zinc concentrations of wheat and their relationships to yield in major wheat production areas in China. Field Crops Research 156: 151160.Google Scholar
McLean, E, Cogswell, M, Egli, I, Wojdyla, D and de Benoist, B (2009) Worldwide prevalence of anaemia, WHO vitamin and mineral nutrition information system, 1993–2005. Public Health Nutrition 12: 444454.Google Scholar
McGrath, SP (1985) The effects of increasing yields on the macro- and microelement concentrations and offtakes in the grain of winter wheat. Journal of the Science of Food and Agriculture 36: 10731083.Google Scholar
Mesdag, J and Donner, DA (2000) Breeding for bread-making quality in Europe. In: Donner, DA (ed.) Bread-making Quality of Wheat: A Century of Breeding in Europe. Dordrecht: Springer-Science + Business Media, pp. 89146.Google Scholar
Miles, CA, Roozen, J, Jones, SS, Murphy, K and Chen, X (2009) Growing Wheat in Western Washington. EM022E. Pullman: Washington State University Extension.Google Scholar
Moshfegh, A, Goldman, J and Cleveland, L (2005) What we Eat in America, NHANES 2001–2002: Usual Nutrient Intakes From Food Compared to Dietary Reference Intakes. Washington, DC: US Depart of Agriculture, Agricultural Research Service.Google Scholar
Murphy, KM, Reeves, PG and Jones, SS (2008) Relationship between yield and mineral nutrient concentrations in historical and modern spring wheat cultivars. Euphytica 163: 381390.Google Scholar
National Oceanic and Atmospheric Administration (2018) Climate Data Online Search. University of Alaska Fairbanks University Experiment Station. [cited 29 Jan 2018]. Available at https://www.ncdc.noaa.gov/cdo-web/searchGoogle Scholar
Pinheiro, J, Bates, D, DebRoy, S and Sarkar, D and R Core Team (2017) nlme: Linear and nonlinear mixed effects models. R package version 3.1-131. Available at https://CRAN.R-project.org/package=nlmeGoogle Scholar
Quarberg, DM, Jahns, TR and Chumley, JI (2009) Alaska Cereal Grains Crop Profile. US Depart of Agriculture IPM Centers Information Network. FGV-00041. Raleigh, NC. [cited 1 Apr 2016]. Available at https://www.ipmcenters.org/cropprofiles/docs/AKcerealgrains2009.pdfGoogle Scholar
Rajaram, SM, van Ginkel, M and Fischer, RA (1995) CIMMYT's wheat breeding mega-environments (ME). In: Li, ZS and Xin, ZY (eds) Proceedings of the 8th International Wheat Genetics Symposium, Beijing, China, 19–24 Jul 1993. Beijing: China Agricultural Scientech Press, pp. 110.Google Scholar
R Core Team (2017) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Available at https://www.R-project.org/Google Scholar
Simmonds, NW (1995) The relation between yield and protein in cereal grain. Journal of the Science of Food and Agriculture 67: 309315.Google Scholar
Stoltzfus, RJ, Mullany, L and Black, RE (2004) Iron deficiency anaemia. In: Ezzati, M, Lopez, AD, Rodgers, A and Murray, CJL (eds) Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors, Volume I. Geneva: World Health Organization, pp. 163209.Google Scholar
Tabbita, F, Pearce, S and Barneix, AJ (2017) Breeding for increased grain protein and micronutrient content in wheat: ten years of the GPC-B1 gene. Journal of Cereal Science 73: 183191.Google Scholar
Uauy, C, Brevis, JC and Dubcovsky, J (2006a) The high grain protein content gene Gpc-B1 accelerates senescence and has pleiotropic effects on protein content in wheat. Journal of Experimental Biology 57: 27852794.Google Scholar
Uauy, C, Distelfeld, A, Fahima, T, Blechl, A and Dubcovsky, J (2006b) A NAC gene regulating senescence improves grain protein, zinc, and iron content in wheat. Science 314: 12981301.Google Scholar
US Depart of Agriculture, National Agricultural Statistics Service (2012) Washington Census of Agriculture. Olympia: US Depart of Agriculture.Google Scholar
Van Veldhuizen, RM and Knight, CW (2004) Performance of Agronomic Crop Varieties in Alaska 1978–2002. AFES Bulletin 111. Fairbanks: Alaska Agricultural and Forestry Experimentation Station, University of Fairbanks.Google Scholar
Wessells, KR and Brown, KH (2012) Estimating the global prevalence of zinc deficiency: results based on zinc availability in national food supplies and the prevalence of stunting. PLoS ONE 7: e50568.Google Scholar
Western Regional Climate Center (2016) [cited 23 Jan 2018]. Available at https://www.wrcc.dri.eduGoogle Scholar
Wickham, H (2009) ggplot2: Elegant Graphics for Data Analysis. New York: Springer-Verlag.Google Scholar
Wilke, CO (2017) cowplot: Streamlined Plot Theme and Plot Annotations for ‘ggplot2’. R package version 0.9.2. Available at https://CRAN.R-project.org/package=cowplotGoogle Scholar
Yang, J, Zhang, J, Wang, Z, Wang, Z, Zhu, Q and Liu, L (2001) Water deficit-induced senescence and its relationship to the remobilization of pre-stored carbon in wheat during grain filling. Agronomy Journal 93: 196201.Google Scholar
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