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Selection via Cane Yield and Ratooning Ability of Sugarcane Genotypes in Sandy Soils in Florida

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Abstract

In south Florida sugarcane is cultivated on muck and sandy soils. The cane yield (CY) of varieties grown on sandy soils is substantially lower than on muck soils due to water and nutrients stress. High CY combined with good ratooning ability (RA) is important for profitable sugarcane cultivation. In this study three series of CP trials (CP 2009, CP 2010, and CP 2011) planted in 3–4 locations with sandy soils were evaluated during 3 crop cycles. Our goals were to assess the magnitude of the sources of variation in the final selection stage (Stage 4) in the CP program for sandy soils, and to select sugarcane genotypes for sandy soils with high CY, good RA, and performance stability across sand locations. Variability of CY on sandy soils depended on crop and crop × location interaction. Genotype × crop × location interaction was significant in two out of three CP series, highlighting the complexity associated with breeding for CY on sandy soils in Florida. There were significant differences for CY among genotypes of CP 2011 series, but a limited RA diversity was detected among genotypes. The genotype plus genotype × environment (GEE) interaction analysis conducted with the combined CY data of CP 2011 series showed that Pahokee Produce Inc. (PPI) and Lykes locations were the most discriminant locations, whereas Hilliard and Townsite were the most representative sand locations in Florida. The simultaneous selection for CY, RA and stability identified outstanding genotypes in the CP 2011 series such as CP 11-1314 and CP 11-1640.

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References

  • Brown, J. Steven., and Barry Glaz. 2001. Analysis of resource allocation in final stage sugarcane clonal selection. Crop Science 41: 57–62.

    Article  Google Scholar 

  • Bull, Terry A., and Ken T. Glasziou. 1979. Sugarcane. In Australian Field Crops, ed. J.V. Lovet and A. Lazenbi, 95–113. Berlin: Angus and Robertson Publishers.

    Google Scholar 

  • del Blanco, Isabel A., Barry Glaz, and Serge J. Edmé. 2010. Improving efficiency of sugarcane genotypes. Crop Science 50: 1744–1753.

    Article  Google Scholar 

  • Dunckelman, J. W. 1982. Breeding Behavior of Ratooning Ability in Sugarcane. LSU Historical Dissertations and Theses, pp. 3714.

  • Edmé, Serge J., Jimmy D. Miller, Barry Glaz, Peter Y. P. Tai, and Jack C. Comstock. 2005a. Genetic contribution to yield gain in the Florida sugarcane industry across 33 years. Crop Science 45: 92–97.

    Google Scholar 

  • Edmé, Serge J., Peter Y. P. Tai, Barry Glaz, Robert A. Gilbert, Jimmy D. Miller, Joe O. Davidson, John W. Dunckelman, and Jack C. Comstock. 2005b. Registration of ‘CP 96–1252’ Sugarcane. Crop Science 45: 421–423.

    Google Scholar 

  • Glaz, Barry, and Manjit S. Kang. 2008. Locations contribution determined via GGE Biplot analysis of multienvironment sugarcane genotype-performance trials. Crop Science 48: 941–950.

  • Glaz, Barry, and Jones L. Dean. 1988. Statistical error rates and their implications in sugarcane clone trials. Agronomy Journal 80: 560–562.

    Article  Google Scholar 

  • Glaz, B., R.W. Davidson, S.B. Milligan, J.C. Comstock, S.J. Edmé, and R. Gilbert. 2007. Evaluation of new Canal Point sugarcane clones: 2005–2006 harvest season. USDA/ARS167-2007. U.S. Gov. Print. Office, Washington, DC.

  • Gauch, Hugh G.., and Richard W.. Zobel. 1996. Optimal replication in selection experiments. Crop Science 36: 838–843.

    Article  Google Scholar 

  • Jackson, Phillip. 1992. Genotype × environment interactions in sugarcane. II. Use of performance in plant cane as an indirect selection criterion for performance in ratoon crops. Australian Journal of Agricultural Research 43: 1461–1471.

    Article  Google Scholar 

  • Jackson, Phillip, Tony McRae, and Mac Hogarth. 1995. Selection of sugarcane families across variable environments I. Sources of variation and an optimal selection index. Field Crops Research 43: 109–118.

    Article  Google Scholar 

  • Kang, Manjit S., Jimmy D. Miller, Peter Y. P. Tai, Jack L. Dean, and Barry Glaz. 1987. Implications of confounding of genotype × year and genotype × crop effects in sugarcane. Field Crops Research 15: 349–355.

    Article  Google Scholar 

  • Littell, Ramon C., George A. Milliken, Walter W. Stroup, Russell D. Wolfinger, and Oliver Schabenberger. 2006. SAS for Mixed Models, 2nd ed. Cary, NC: SAS Institute Inc.

    Google Scholar 

  • McCray, Mabry, and Stewart Swanson. 2020 Soil organic matter impacts on sugarcane production on Florida mineral soils. SS-AGR-442, one of a series of the Agronomy Department, UF/IFAS Extension. Original publication date February 2020.

  • Milligan, Scott B., Wayne Davidson, Serge J. Edmé, Jack C. Comstock, Hu. Chen-Jian, David G. Holder, Barry Glaz, Neil C. Glynn, and Robert A. Gilbert. 2009. Registration of ‘CPCL 97–2730’ sugarcane. Journal of Plant Registrations 3 (2): 158–164.

    Article  Google Scholar 

  • Milligan, Scott B., Kent A. Gravois, and Freddie A. Martin. 1996. Inheritance of sugarcane ratooning ability and the relation of younger crop traits to older crop traits. Crop Science 36: 45–50.

    Article  Google Scholar 

  • Muchovej, Rosa M. C., Yigang Luo, James M. Shine Jr., and Jeff C. Jones. 2000. Nutritional problems associated with low yield of sugarcane on mineral soils. Journal article; In Conference Paper: Proceedings - Soil and Crop Science Society of Florida  59: 146–150.

  • Muchovej, Rosa M. C. 1988. Sugarcane Field Guide. University of Florida, IFAS Extension. https://edis.ifas.ufl.edu/topic_book_sugarcane_handbook.

  • Piepho, Hans-Peter., Andreas Buchse, and Katharina Emrich. 2003. A hitchhiker’s guide to mixed models for randomized experiments. Journal of Agronomy and Crop Science 189: 310–322.

    Article  Google Scholar 

  • Plunkett, Donald L., John P. Evenson, and Wallace G. Sanford. 1970. Ratooning crops. Advanced Agronomy 22: 285–330.

    Article  Google Scholar 

  • Rice, Ronald W., Leslye E. Baucum, and Wayne Davidson. 2014. Sugarcane variety census: Florida. 2013. Sugar Journal 77 (2): 10–19.

    Google Scholar 

  • Rice, Ronald W., Robert A. Gilbert, and Mabry McCray. 2010. Nutritional Requirements for Florida Sugarcane. Florida Cooperative Ext. Service Fact Sheet SS-AGR-228. UF/IFAS Electronic Data Information Source (EDIS) Database. Gainesville: University of Florida. https://edis.ifas.ufl.edu/sc028.

  • Roka, Fritz M., Leslie E. Baucum, Ronald W. Rice, and Jose Alvarez. 2010. Comparing costs and returns for sugarcane production on sand and muck soils of southern Florida, 2008–2009. Journal of the American Society of Sugar Cane Technologists 30: 50–66.

    Google Scholar 

  • SAS Institute Inc. 2013. SAS® 9.4 Statements: Reference. Cary, NC: SAS Institute Inc.

  • Sengwayo, Sphamandla, Marvelous Zhou, and Maryke Labuschagne. 2017. Location and crop-year effects on sugarcane genotype performance for the coastal short cycle breeding programmes in South Africa. South African Journal of Plant and Soil 35(2): 79–87. https://doi.org/10.1080/02571862.2017.1335892.

    Article  Google Scholar 

  • Sripathi, Raghuveer, Patrick Conaghan, Dermot Grogan, and Michael D. Casler. 2017. Field design factors affecting the precision of ryegrass forage yield estimation. Agronomy Journal 109 (3): 858–869.

    Article  Google Scholar 

  • Thair, Mohammad, Iftikhar Khalil, Peer H. McCord, Barry Glaz, and James Todd. 2014. Stability of genotypes and sources of variability in the Canal Point sugarcane cultivar selection program. Journal of the American Society of Sugarcane Technologists 34, 1–20.

  • VanWeelden, Matthew, Stewart Swanson, Wayne Davidson, Miguel Baltazar, and Ronald Rice. 2020. Sugarcane variety census: Florida 2019. Sugar Journal 83 (2): 8–20.

    Google Scholar 

  • Vargas, Mateo, Barry Glaz, Jose Crossa, and Alex Morgounov. 2018. Analysis and interpretation of interactions of fixed and random effects. In Applied Statistics in Agricultural, Biological, and Environmental Sciences, ed. Barry Glaz and Kathleen M. Yeater, 177–199. Wiley.

    Chapter  Google Scholar 

  • Yan, Weikai. 2014. Crop Variety Trials : Data Management and Analysis, John Wiley & Sons, Incorporated, 2014. ProQuest Ebook Central, http://ebookcentral.proquest.com/lib/ufl/detail.action?docID=1650860

  • Yan, Weikai, Manjit S. Kang, Baoluo Ma, Sheila Woods, and Paul L. Cornelius. 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science 47: 643–655.

    Article  Google Scholar 

  • Yan, Weikai, and Manjit S.. Kang. 2003. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. Boca Raton, FL: CRC Press.

    Google Scholar 

  • Yan, Weikai, Leslie A. Hunt, Qinglai Sheng, and Zorka Szlavnics. 2000. Cultivar evaluation and mega-environment investigation based on GGE biplot. Crop Science 40: 597–605.

    Article  Google Scholar 

  • Yan, Weikai. 2001. GGE Biplot- A windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agronomy Journal 93: 1111–1118.

    Article  Google Scholar 

  • Yang, Rong-Cai. 2010. Towards understanding and use of mixed-model analysis of agricultural experiments. Canadian Journal of Plant Science 90: 605–627. https://doi.org/10.4141/CJPS10049.

    Article  Google Scholar 

  • Zhao, Duli, Jack C. Comstock, Barry Glaz, Serge J. Edme, Neil C. Glynn, I.A. Del Blanco, Robert A. Gilbert, R. Wayne Davidson, and Charles Y. Chen. 2012. Vigor rating and brix for first clonal selection stage of the canal point sugarcane cultivar development program. Journal of Crop Improvement 26: 60–75.

    Article  Google Scholar 

  • Zhou, Marvellous, and Munashe D. Shoko. 2012. Simultaneous selection for yield and ratooning ability in sugarcane genotypes using analysis of covariance. South African Journal of Plant and Soil 29 (2): 93–100.

    Article  Google Scholar 

  • Zhou, Marvellous, Shailesh Vinay Joshi, and Tracy Maritz. 2012. Trends and implications of genotype by environment interaction in South African sugarcane breeding. Journal of Crop Improvement 26: 163–176.

    Article  Google Scholar 

Download references

Acknowledgements

We appreciate Alec Fufidio, Andrew Migneault, and Zachary Young, for their valuable technical assistance in data collection. We also thank all other staff at Canal Point and at the University of Florida, EREC, Belle Glade, for assistance in planting, data collection and harvest.

Funding

The U.S. Department of Agriculture–Agricultural Research Service and the Florida Sugar Cane League financially supported this research.

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Author notes

  1. Orlando Coto Arbelo

    Present address: Agricultural Research Service, Sugarcane Field Station, USDA, 12990 US Hwy. 441 N, Canal Point, Florida, 33438, USA

Authors and Affiliations

  1. Everglades Research and Education Center, University of Florida, 3200 East Palm Beach Road, Belle Glade, FL, 33430, USA

    Orlando Coto Arbelo, Hardev Sandhu & German Sandoya

  2. Agricultural Research Service, Sugarcane Field Station, USDA, 12990 US Hwy. 441 N, Canal Point, Florida, 33438, USA

    Aliya Momotaz

  3. Florida Sugar Cane League, Inc., P.O. Box 1208, Clewiston, FL, 33440, USA

    Wayne Davidson & Miguel Baltazar

  4. United State Sugar Corporation, 111 Ponce de Leon Ave., Clewiston, FL, 33440, USA

    Everton Barreto & Chris LaBorde

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  1. Orlando Coto Arbelo
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Correspondence to Orlando Coto Arbelo.

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Coto Arbelo, O., Sandhu, H., Momotaz, A. et al. Selection via Cane Yield and Ratooning Ability of Sugarcane Genotypes in Sandy Soils in Florida. Sugar Tech 23, 986–998 (2021). https://doi.org/10.1007/s12355-021-00973-9

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