Comparing family with individual genotype breeding parameters for cane yield in sugarcane populations

References

• Allard RW. 1960. Principles of plant breeding. New York: John Wiley and Sons.
   Google Scholar
• Atkin FC, Dieters MJ, Stringer JK. 2009. Impact of depth of pedigree and inclusion of historical data on the estimation of additive variance and breeding values in a sugarcane breeding program. Theoretical and Applied Genetics 119: 555–565. doi: 10.1007/s00122-009-1065-7
   PubMed Web of Science ®Google Scholar
• Babu C, Koodalingam K, Natarajan US, Shanthi RM, Govindaraj P. 2009. Interrelationships of sugarcane yield and quality components and their utility in family selection. Madras Agricultural Journal 96: 309–313.
   Google Scholar
• Balzarini MG. 2000. Biometrical models for predicting future performance in plant breeding. PhD thesis, Louisiana State University, USA.
   Google Scholar
• Becker WA. 1992. Manual of quantitative genetics (5th edn). Pullman: Academic Enterprises.
   Google Scholar
• Casler MD, Brummer EC. 2008. Theoretical expected genetic gains for among-and-within-family selection methods in perennial forage crops. Crop Science 48: 890–902. doi: 10.2135/cropsci2007.09.0499
   Web of Science ®Google Scholar
• Chang YS, Milligan SB. 1992a. Estimating the potential of sugarcane families to produce elite genotypes using bivariate prediction methods. Theoretical and Applied Genetics 84: 633–639.
   PubMed Web of Science ®Google Scholar
• Chang YS, Milligan SB. 1992b. Estimating the potential of sugarcane families to produce elite genotypes using univariate cross prediction methods. Theoretical and Applied Genetics 84: 662–671.
   PubMed Web of Science ®Google Scholar
• Chaudhary AK, Singh JRP. 1994. Correlation and path coefficient analysis studies in early maturing clone of sugarcane (Saccharum spp. complex). Cooperative Sugar 25: 305–307.
   Google Scholar
• Chaudhary RR, Joshi BK. 2005. Correlation and path coefficient analysis in sugarcane. Nepal Agricultural Research Journal 6: 24–27.
   Google Scholar
• Cox MC, Stringer JK. 1998. Efficacy of early generation selection in a sugarcane improvement program. Proceedings of the Australian Society of Sugar Cane Technologists 20: 148–153.
   Google Scholar
• de Oliveira RA, Daros E, de Resende MDV, Filho JCB, Zambon JLC, Ruaro L. 2013. Early selection in sugarcane family trials via BLUP and BLUPIS procedures. Acta Scientiarum Agronomy 35: 427–434.
   Web of Science ®Google Scholar
• Falconer DS. 1960. Introduction to quantitative genetics. London: Oliver and Boyd.
   Google Scholar
• Falconer DS, Mackay TFC. 1996. Introduction to quantitative genetics (4th edn). Harlow: Longman Group.
   Google Scholar
• Heinz DJ, Tew TL. 1987. Hybridization procedures. In: Heinz DJ (ed.), Sugarcane improvement through breeding. Developments in Crop Science 11. New York: Elsevier. pp 313–342.
   Google Scholar
• Hogarth DM. 1971. Quantitative inheritance studies in sugarcane II. Correlations and predicted responses to selection. Australian Journal of Agricultural Research 22: 103–109. doi: 10.1071/AR9710103
   Google Scholar
• Hogarth DM, Mullins RT. 1989. Changes in the BSES plant improvement program. Proceedings of the International Society of Sugar Cane Technologists 20: 956–961.
   Google Scholar
• Hu F, Jackson P, Basford K. 2009. Developing optimal selection systems in sugarcane breeding programs. Sugarcane International 27: 118–130.
   Google Scholar
• Jackson PA, Bull JK, McRae TA. 1995. The role of family selection in sugarcane breeding programs and the effect of genotype x environment interactions. Proceedings of the International Society of Sugar Cane Technologists 22: 261–269.
   Google Scholar
• Jackson P, McRae TA. 2001. Selection of sugarcane clones in small plots. Effects of plot size and selection criteria. Crop Science 41: 315–322. doi: 10.2135/cropsci2001.412315x
   Web of Science ®Google Scholar
• Kimbeng CA, Cox MC. 2003. Early generation selection of sugarcane families and clones in Australia: a review. Journal of the American Society of Sugar Cane Technologists 23: 20–39.
   Google Scholar
• Kimbeng CA, McRae TA, Cox MC. 2001. Optimising early generation selection in sugarcane breeding. Proceedings of the International Society of Sugar Cane Technologists 24: 488–493.
   Google Scholar
• Kimbeng CA, McRae TA, Stringer JK. 2000. Gains from family and visual selection in sugarcane, particularly for heavily lodged crops in the Burdekin region. Proceedings of the Australian Society of Sugar Cane Technologists 22: 163–169.
   Google Scholar
• Mariotti JA. 1973. The influence of environment on the relationship between yield and its components in sugarcane. Proceedings of the International Society of Sugar Cane Technologists 32: 19–22.
   Google Scholar
• McRae TA, Jackson PA. 1998. Competition effects in selection trials. Proceedings of the Australian Society of Sugar Cane Technologists 20: 154–161.
   Google Scholar
• Melo DS, Pinto CABP, Peixouto LS, Neder DG, de Assis JC. 2011. Early selection of full-sib potato families. Ciência e Agrotecnologia 35: 1101–1109. doi: 10.1590/S1413-70542011000600009
   Web of Science ®Google Scholar
• Milligan SB, Legendre BL. 1990. Development of a practical method for sugarcane cross appraisal. Journal of the American Society of Sugar Cane Technologists 11: 59–68.
   Google Scholar
• Noor M, Shahwar D, Rahman H, Ullah H, Ali F, Iqbal M, Sha LA, Ullah I. 2013. Change in heritability estimates due to half-sib family selection in the maize variety Pahari. Genetics and Molecular Research 12: 1872–1881. doi: 10.4238/2013.January.16.1
   PubMed Web of Science ®Google Scholar
• Park S, Jackson PA, Berding N, Inman-Bamber G. 2007. Conventional breeding practices within the Australian sugarcane breeding program. Proceedings of the Australian Society of Sugar Cane Technologists 29: 113–121.
   Google Scholar
• Pedrozo CA, Barbosa MHP, da Silva FL, de Resende MDV, Peternelli LA. 2011. Repeatability of full-sib sugarcane families across harvests and the efficiency of early selection. Euphytica 182: 423–430. doi: 10.1007/s10681-011-0521-z
   Web of Science ®Google Scholar
• Ramburan S, Zhou MM, Labuschagne M. 2012. Investigating test site similarity, trait relations and causes of genotype by environment interactions of sugarcane in the Midlands region of South Africa. Field Crops Research 129: 71–80. doi: 10.1016/j.fcr.2012.01.017
   Web of Science ®Google Scholar
• Sanghera GS, Tyagi V, Kumar R, Thind KS, Sharma B. 2015. Genetic variability, association and their dissection through path analysis for cane yield and its component traits in early maturing sugarcane clones. Journal of Science 5: 28–34.
   Google Scholar
• Santos GP, Soares AA, Ramalho MAP. 2002. Performance of upland rice families selected from segregant populations. Crop Breeding and Applied Biotechnology 2: 237–246. doi: 10.12702/1984-7033.v02n02a10
   Google Scholar
• SAS Institute. 2014. SAS/STAT user’s guide, version 9.1.3. Cary: SAS Institute.
   Google Scholar
• Shanthi RM, Bhagyalakshmi KV, Hemaprabha G, Alarmelu S, Nagarajan R. 2008. Relative performance of the sugarcane families in early selection stages. Sugar Tech 10: 114–118. doi: 10.1007/s12355-008-0019-8
   Google Scholar
• Skinner JC. 1961. Sugarcane selection experiments 2. Competition between varieties. Technical Communications, Bureau of Sugar Experiment Stations, Queensland 1. Brisbane: Sugar Experiment Stations Board.
   Google Scholar
• Skinner JC. 1982. Efficiency of bunch-planted and single-planted seedlings for selecting superior families in sugarcane. Euphytica 31: 523–537. doi: 10.1007/BF00021673
   Web of Science ®Google Scholar
• Smiullah, Khan FA, Ijaz U, Abdullah. 2013. Genetic variability of different morphological and yield contributing traits in different accession of Saccharum officinarum L. Universal Journal of Plant Science 1: 43–48.
   Google Scholar
• Streit LG, Fehr WR, Welke GA, Hammond EG, Cianzio SR. 2001. Family and line selection for reduced palmitate, saturates, and linolenate of soybean. Crop Science 41: 63–67. doi: 10.2135/cropsci2001.41163x
   Web of Science ®Google Scholar
• Stringer JK, Cox MC, Atkin FC, Wei X, Hogarth DM. 2011. Family selection improves the efficiency and effectiveness of selecting original seedlings and parents. Sugar Tech 13: 36–41. doi: 10.1007/s12355-011-0073-5
   Web of Science ®Google Scholar
• Stringer JK, McRae TA, Cox MC. 1996. Best linear unbiased prediction as a method of estimating breeding value in sugarcane. In: Wilson JR, Hogarth DM, Campbell JA, Garside AL (eds), Sugarcane: research towards efficient and sustainable production. Brisbane: CSIRO Division of Tropic Crops and Pastures. pp 39–41.
   Google Scholar
• Tyagi VK, Sharma S, Bhardwaj SB. 2012. Pattern of association among cane yield, sugar yield and their components in sugarcane (Saccharum officinarum L.). Journal of Agricultural Research 50: 29–38.
   Google Scholar
• van Antwerpen R, Wettergreen T, van der Laan M, Miles N, Rhodes M, Weigel A. 2013. Understanding and managing soil in the South African sugar industry. Durban: South African Sugarcane Research Institute.
   Google Scholar
• Walker DIT. 1963. Family performance at early selection stages as a guide to the breeding programme. Proceedings of the International Society of Sugar Cane Technologists 11: 469–483.
   Google Scholar
• Zhou MM. 2004. Stalk population control of yield, quality and agronomic traits of sugarcane population in early selection stages. International Sugar Journal 22: 14–20.
   Google Scholar
• Zhou MM. 2013. Realised selection gains for cane yield, sucrose content and sugar yield among South African breeding programmes. Proceedings of the South African Sugar Technologists’ Association 86: 273–285.
   Google Scholar
• Zhou MM. 2014. Family evaluation for sugarcane yield using data estimated from stalk number, height, and diameter. Journal of Crop Improvement 28: 406–417. doi: 10.1080/15427528.2014.906528
   Google Scholar
• Zhou MM, da Silva JA, Kimbeng CA, White WH. 2010. Cross resistance between the Mexican rice borer and the sugarcane borer (Lepidoptera: Crambidae): a case study using sugarcane breeding populations. Crop Science 50: 1–9. doi: 10.2135/cropsci2009.02.0086
   Web of Science ®Google Scholar
• Zhou MM, Gwata ET. 2016. Quantifying sugarcane cultivar genetic gains in the Midlands region of South Africa. Agronomy Journal 108: 342–348. doi: 10.2134/agronj2015.0141
   Web of Science ®Google Scholar
• Zhou MM, Joshi SV. 2012. Trends in broad sense heritability and implications for sugarcane breeding in South Africa. Sugar Tech 14: 40–46. doi: 10.1007/s12355-011-0128-7
   Web of Science ®Google Scholar
• Zhou MM, Kimbeng CA, Tew TL, Gravois KA, Pontif M, Bischoff KP. 2013a. Logistic regression models to aid selection in early stages of sugarcane breeding. Sugar Tech 16: 150–156. doi: 10.1007/s12355-013-0266-1
   Web of Science ®Google Scholar
• Zhou MM, Lichakane ML, Joshi SV. 2013b. Family evaluation for quality traits in South African sugarcane breeding programmes. International Sugar Journal 115: 418–430.
   Web of Science ®Google Scholar
• Zhou MM, Mokwele A. 2015. Family versus individual plant selection for stem borer (Eldana saccharina) resistance in early stages of sugarcane breeding in South Africa. South African Journal of Plant and Soil 33: 89–96. doi: 10.1080/02571862.2015.1084546
   Google Scholar