Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast

Crépin Bi Péné; Yavo Mickle Béhou

doi:doi:10.11648/j.bio.20190706.12

| Peer-Reviewed

Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast

Crépin Bi Péné, Yavo Mickle Béhou

Published in American Journal of Bioscience and Bioengineering (Volume 7, Issue 6)

Received: 6 August 2019 Accepted: 30 October 2019 Published: 25 December 2019

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The objective of the study was to determine the best performing sugarcane genotypes tested at early selection stage under sprinkler irrigation, in comparison with a check variety (R579). The experiment was designed following a randomized complete block (RCB) with 21 cane genotypes in three replications. Each plot consisted of five dual rows of ten meters with 0.5 and 1.90 m of inter-row spacing, i.e. 95 m² per plot and about 6,000 m² for the whole experiment. It was carried out on a commercial sugarcane plantation of Ferké 2 located in the northern part of the country, over two seasons (plant cane and first ratoon) as an early-season crop from, November 18, 2016 to November 15, 2018. Over each micro-plot, data based on different agro-morphological traits were collected at harvest from three central dual rows. The study showed that most relevant traits in genotype clustering were related to juice quality (recoverable sucrose, sucrose content, purity), yields and yield components (millable stalk number/ha, stalk height, stalk diameter, internode number). Based on sugar yields, four genotypes equivalent to the check (R579), namely KQ228, R97-6177, R99-4064 and KQ236, were found promising for the next advanced selection stage with, respectively, 19.2, 17.7, 17.3 and 16.9 t sugar/ha. Their cane yield performances ranged from 147.7 to 170.8 t/ha compared to 170.7 for the check and belong to 3 clusters genotypes over the eight determined. Not only sugar yield, but also flowering rate, stem borer infestation rate and number of tillers per hectare were found as the most relevant agro-morphological traits in the genetic variation of sugarcane genotypes tested.

Published in	American Journal of Bioscience and Bioengineering (Volume 7, Issue 6)
DOI	10.11648/j.bio.20190706.12
Page(s)	82-92
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Phenotypic Correlation, Genotypic Correlation, Coefficient of Variation, Genetic Advance, Yield Trait, Juice Quality

References

[1]	FAO, 2014. FAO STAT, FAO statistical databases. Available at: http://faostat3.fao.org/(Last accessed June 07, 2016.
[2]	Jackson, P. A. (2005). Breeding for improved sugar content in sugarcane. Field Crops Res. 92 (2-3): 277-90.
[3]	Tyagi S. D. and D. N. Singh (1998). Studies on genetic variability for stalk characters in sugarcane. Indian Sugar XL VIII: 259-62.
[4]	Chaudhary, R. R. (2001). Genetic variability and heritability in sugarcane. Nepal Agric Res. 4 & 5: 56-8.
[5]	Béhou, Y. Y. M. and C. B. Péné (2019). Genetic variability and heritability among sugarcane genotypes in plant crop for some agronomic traits under tropical dry climate of Ferké, Ivory Coast. J. Exp. Agric. Int. 38 (1): 1-14.
[6]	Péné, C. B., K. D. Kouamé, H. Dove and B. M. Boua (2016). Incidence des infestations du foreur de tiges Eldana saccharina W (Lepidoptera: Pyralidae) en culture irriguée de canne à sucre selon la variété et la période de récolte en Côte d’Ivoire. J. Appl. Biosci. 102: 9687-9698.
[7]	Bakhsh, A., M. Arshad and A. M. Haqqan (2006). Effect of GxE interaction on relationship between grain yield and its components in chickpea (Cicer arietinum L). Pakistan J. Bot. 38: 683-90.
[8]	Da Silva, F. F., M. G. Pereira, H. C. C. Ramos, Jr. Damasceno, N. S. Pereira and C. D. Ide (2007). Genotypic correlations of morpho-agronomic traits in papayas and implications for genetic breeding. Crop Breed. Appl. Biotech 7: 345-52.
[9]	Tena, E., A. Ayana and F. Mekbib (2016). Heritability and correlation among sugarcane (Saccharum spp.) yields and some agronomic and sugar quality traits in Ethiopia. Am. J. Pant Sci. 7 (10): 1453-77.
[10]	Jackson, P. (1994). Genetic relationships between attributes in sugarcane clones closely related to Saccharum spontaneum. Euphytica 79: 101-8.
[11]	Tyagi S. D., M. H. Khan (2010). Studies on genetic variability and interrelationships among different traits in Microsperma Lentil (Lens culinaris Medik). J. Agric Biotech Sust. Dev 2: 15-20.
[12]	De Sousa-Vierra O. and S. B. Milligan (2005). Interrelationships of cane yield components and their utility in sugarcane family selection: path coefficient analysis. Intersciencia 30: 93-9.
[13]	Milligan, S. B., K. A. Gravois, K. P. Bischoff and F. A. Martin (1990). Crop effects on broad-sense heritability and genetic variances of sugarcane yield components. Crop Sci. 30: 344-49.
[14]	Gravois, K. A., S. B. Milligan and F. A. Martin (1991). Additive genetic effects for sugarcane yield components and implications for hybridization. Trop. Agric. (Trinidad) 68: 376-80.
[15]	Tyagi, A. P. and P. Lal (2007). Correlation and path coefficient analysis in sugarcane. South Pacific J. Nat. Sci. 25: 1-9.
[16]	Péné, C. B., H. M. Ouattara and G. S. Koulibaly (2012). Late season sugarcane performance as affected by soil water regime at the yield formation stage on commercial farms in northern Ivory Coast. J Life Sci. 6 (6): 644-651.
[17]	Konan, E. A., C. B. Péné and E. Dick (2017a). Main factors determining the yield of sugarcane plantations on Ferralsols in Ferké 2 sugar complex, Northern Ivory Coast. J. Emerg. Trends Engin. Appl. Sci. JETEAS 8 (6): 244-256.
[18]	Konan, E. A., C. B. Péné, E. Dick (2017b). Caractérisation agro-climatique du périmètre sucrier de Ferké 2 au Nord de la Côte d’Ivoire. J Appl. Biosci. 116: 11532-11545.
[19]	Tadesse, F., T. Negi, A. Getaneh, Z. Dilnesaw, N. Ayele and Y. Teferi (2014). Genetic variability and heritability of ten exotic sugarcane genotypes at Wonji sugar estate of Ethiopia. Global Adv. Res. J. Phys. Appl. Sci. 3 (4): 1-4.
[20]	M. Hoarau. La canne à sucre. Le technician d’agriculture tropicale. Maisonneuve et Larose (eds), 1970, 165 p.
[21]	E. Hugot. Sucrerie de canne. Paris, Collection Tech & Doc, Lavoisier (eds), 1999, 1018 p.
[22]	Burton, G. W., E. H. Devane (1953). Estimating heritability in tall Fescue (Festuca arundinacea) from replicated clonal materials. Agron. J.: 45: 487-88.
[23]	Shitahum, A., T. Feyissa and D. Abera (2018). Performances evaluation of advanced sugarcane genotypes (Cirad 2013) at Metahara sugar estate, Ethiopia. Int. J Adv. Res. Biol. Sci.: 5 (1): 91-104.
[24]	R. K. Singh and B. D. Chaundary. Biometrical methods in quantitative genetics analysis. New Delhi, Kalyani Publishers, 1977: 57-8.
[25]	D. S. Falconer, T. F. C. Mackay. Introduction to quantitative genetics. 4^th eds. Harmlow: Longman, 1996.
[26]	Jackson, P., J. Basnayake, G. Inman-Bamber, P. Lakshmanan, S. Natarajan and C. Stokes (2015). Genetic variation in transpiration efficiency and relationships between whole plant and leaf gas exchange measurements in Saccharum spp. And related germplasm. J. Experim. Bot: 67 (3): 861-71.
[27]	Rebettzke, G. J., A. G. Condon, R. A. Richards and G. D. Farquhar (2002). Selection of carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat. Crop Sci.: 42 (3): 739-45.
[28]	Kang, M. S., J. D. Miller and P. Y. P. Tai (1983). Genotypic and phenotypic path analyses and heritability in sugarcane. Crop Sci: 23: 643-47.
[29]	Dagar, P., S. K. Pahuja, S. P. Kaian and Singh (2002). Evaluation of phenotypic variability in sugarcane using principal factor analysis. Ind. J. Sugarc. Technol: 17: 95-100.
[30]	Ebid, M. H. M., H. A. Khalil, A. M. Abd-ElAal and M. A. Fergany (2015). Heritability and genotypic and phenotypic correlations among sugarcane yield and some agronomic traits. Egypt L Plant Breed: 19 (1): 159-71.
[31]	A. R. Hallauer and J. B. Miranda. Quantitative genetics in maize breeding. Iowa State Univ. press, Ames, Iowa, 1988, p. 468.
[32]	D. S. Falconer. Introduction to quantitative genetics. 3^rd eds. Longman, UK, 1989, p. 430.
[33]	Ram, B., G. Hemaprabha (1992). Genetic variability in interspecific progenies in sugarcane (Saccharuim spp.). Ind. J. Genet: 52 (2): 192-98.
[34]	Chaudhary, R. R. (2001). Genetic variability and heritability in sugarcane. Nepal Agric. Res. J: 4: 56-9.
[35]	Kimbeng, C. A., A. R. Rattey and M. Hetherington (2002). Interpretation and implications of GxE interactions in advanced stage sugarcane selection trials in central Queensland. Aust. J. Agric. Res. 53 (9): 1035-45.
[36]	R. C. Parfitt. Genotype x environment interaction among secondary variety trials in the northern region of the South African sugar industry. Proc. S. Afr. Sug. Technol. Assoc, 2000: 74: 245-58.
[37]	Glaz, B. and M. S. Kang (2008). Location contributions determined via GGE biplot analysis of multi-environment sugarcane genotype-performance trials. Crop Sci. 48: 941-50.
[38]	K. A. Gomez and A. A. Gomez. Statistical procedure for agricultural research (2^nd ed). John Wiley and Sons Inc, New York. 1984.
[39]	Gravois, K. A. and S. B. Milligan (1992). Genetic relationship between fibger and sugarcane yield components. Crop Sci. 32 (1): 62-7.
[40]	Dumont, T., A. Thong-Chane, L. Barau, B. Siegmund and J. Y. Hoarau (2019). Genetic variability and genetic gains for yield components in regional sugarcane breeding program on Reunion Island. Sugar Tech. Available online http://doi.org/10.1007/s12355-019-00718-9.
[41]	Péné, C. B., B. M. Boua, Y. Coulibaly-Ouattara and F. R. Goebel (2018). Stem borer (Eldana saccharina W) infestation outbreak in Sugarcane plantations of northern Ivory Coast: Management strategies under implementation. Amer. J Biosci. Bioeng. 6 (4): 27-35.
[42]	Shivasubramanian, S. and M. Menon (1973). Heterosis and inbreeding depression in rice. Madras Agric. J. 60: 1139.
[43]	Mancini, M. C., D. C. Leite, D. Perecin (2012). Characterization of the genetic variability of a sugarcane commercial cross through yield components and quality parameters. Sugar Tech. 14 (2): 119-25.
[44]	Li, C. (2017). Genotypic variations in transpiration efficiency due to differences in photosynthetic capacity among sugarcane-related clones. J. Exper. Bot. 68 (6): 2377-85.
[45]	Singh, R. K., D. N. Singh, S. K. Singh and H. N. Singh (1994). Genetic variability and correlation studies in foreign commercial hybrids of sugarcane. Agric. Sci. Dig. 14: 103-7.
[46]	Dos Santos Silva, PP, M. Soussa and E. J. De Oliveira (2019). Prediction models and selection of agronomic and physiological traits for tolerance to water deficit in cassava. Euphytica 215 (4): 73.
[47]	Ram, B. (2005). Estimation of genetic parameters in different environments and their implications in sugarcane breeding. In. J. Genet. 52 (2): 192-98.
[48]	Fartek, B., S. Nibouche, T. Atiama-Nurbel, B. Reynaud and L. Costet (2014). Genotypic variability of sugarcane resistance to aphid Melanaphis sacchari, vector of the Sugarcane Yellow Leaf Virus. Plant Breed. 133 (6): 771-6.
[49]	Robinson, H. F. (1966). Quantitative genetics in relation to breeding of the centennial of mendalism. Indian J. Gen. 26: 171-87.
[50]	Teklu, D. H., S. A. Kebede and D. E. Gebremichael (2014). Assessment of genetic variability, genetic advance, correlation and path analysis for morphological traits in sesame genotypes. As. J. Agric. Res. 8 (4): 181-194.
[51]	Nair, N. V., K. G. Somarajan and Baasundaram (1980). Genetic variability, heritability and genetic advance in Saccharum officinarum. Int. Sugar J. 82 (981): 275-6.
[52]	Singh, G. P., K. R. Maurya, B. Prasad and A. K. Singh (1994). Genetic variability in Capsicum annum L. J. Appl. Biol. 4: 19-22.
[53]	Vidya, KL, S. K. Oommen and K. Vijayaraghava (2002). Genetic variability and heritability of yield and related characters in yard-long bean. J. Trop. Agric. 40: 11-3.
[54]	Butterfield, M. K. and K. J. Nuss (2002). Prospects for new varieties in the medium to long term: The effects of current and future breeding strategy on variety characteristics. In: Proceed. S. Afric. Sugar Ind. Agron. Assoc., Kwa-Shukela: 41-8.
[55]	Shoba, D., N. Manivannan, P. Vindhiyavarman (2009). studies on variability, heritability and genetic advance in groundnut (Arachis hypogea L). Electron. J. Plant Breed. 1 (1): 74-7.
[56]	Bakshi, R. (2005). Estimation of genetic parameters in different environments and their implications in sugarcane breeding. Indian J. Gen. 65 (3): 219-20.
[57]	Pandey, R. A. (1989). Variability study in the hybrid progenies of sugarcane (Saccharum complex). Bharatiya Sugar: 49-51.
[58]	Patel, MM, H. S. Patel, A. D. Patel and M. P. Patel (2008). Correlation and path analysis in sugarcane. Ind. Sugar 31: 911-14.
[59]	Tefera, A, A. Sentayehu, T. Leta (2017). Genetic variability, heritability and genetic advance for yield and its related traits in rainfed lowland rice (Oriza sativa L) genotypes at Fogera and Pawe, Ethiopia. Adv. Crop Sci. Technol. 5 (2): 1000272.

Cite This Article

Plain Text BibTeX RIS

APA Style

Crépin Bi Péné, Yavo Mickle Béhou. (2019). Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast. American Journal of Bioscience and Bioengineering, 7(6), 82-92. https://doi.org/10.11648/j.bio.20190706.12

Copy | Download

ACS Style

Crépin Bi Péné; Yavo Mickle Béhou. Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast. Am. J. BioSci. Bioeng. 2019, 7(6), 82-92. doi: 10.11648/j.bio.20190706.12

Copy | Download

AMA Style

Crépin Bi Péné, Yavo Mickle Béhou. Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast. Am J BioSci Bioeng. 2019;7(6):82-92. doi: 10.11648/j.bio.20190706.12

Copy | Download

@article{10.11648/j.bio.20190706.12,
  author = {Crépin Bi Péné and Yavo Mickle Béhou},
  title = {Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast},
  journal = {American Journal of Bioscience and Bioengineering},
  volume = {7},
  number = {6},
  pages = {82-92},
  doi = {10.11648/j.bio.20190706.12},
  url = {https://doi.org/10.11648/j.bio.20190706.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20190706.12},
  abstract = {The objective of the study was to determine the best performing sugarcane genotypes tested at early selection stage under sprinkler irrigation, in comparison with a check variety (R579). The experiment was designed following a randomized complete block (RCB) with 21 cane genotypes in three replications. Each plot consisted of five dual rows of ten meters with 0.5 and 1.90 m of inter-row spacing, i.e. 95 m2 per plot and about 6,000 m2 for the whole experiment. It was carried out on a commercial sugarcane plantation of Ferké 2 located in the northern part of the country, over two seasons (plant cane and first ratoon) as an early-season crop from, November 18, 2016 to November 15, 2018. Over each micro-plot, data based on different agro-morphological traits were collected at harvest from three central dual rows. The study showed that most relevant traits in genotype clustering were related to juice quality (recoverable sucrose, sucrose content, purity), yields and yield components (millable stalk number/ha, stalk height, stalk diameter, internode number). Based on sugar yields, four genotypes equivalent to the check (R579), namely KQ228, R97-6177, R99-4064 and KQ236, were found promising for the next advanced selection stage with, respectively, 19.2, 17.7, 17.3 and 16.9 t sugar/ha. Their cane yield performances ranged from 147.7 to 170.8 t/ha compared to 170.7 for the check and belong to 3 clusters genotypes over the eight determined. Not only sugar yield, but also flowering rate, stem borer infestation rate and number of tillers per hectare were found as the most relevant agro-morphological traits in the genetic variation of sugarcane genotypes tested.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast
AU  - Crépin Bi Péné
AU  - Yavo Mickle Béhou
Y1  - 2019/12/25
PY  - 2019
N1  - https://doi.org/10.11648/j.bio.20190706.12
DO  - 10.11648/j.bio.20190706.12
T2  - American Journal of Bioscience and Bioengineering
JF  - American Journal of Bioscience and Bioengineering
JO  - American Journal of Bioscience and Bioengineering
SP  - 82
EP  - 92
PB  - Science Publishing Group
SN  - 2328-5893
UR  - https://doi.org/10.11648/j.bio.20190706.12
AB  - The objective of the study was to determine the best performing sugarcane genotypes tested at early selection stage under sprinkler irrigation, in comparison with a check variety (R579). The experiment was designed following a randomized complete block (RCB) with 21 cane genotypes in three replications. Each plot consisted of five dual rows of ten meters with 0.5 and 1.90 m of inter-row spacing, i.e. 95 m2 per plot and about 6,000 m2 for the whole experiment. It was carried out on a commercial sugarcane plantation of Ferké 2 located in the northern part of the country, over two seasons (plant cane and first ratoon) as an early-season crop from, November 18, 2016 to November 15, 2018. Over each micro-plot, data based on different agro-morphological traits were collected at harvest from three central dual rows. The study showed that most relevant traits in genotype clustering were related to juice quality (recoverable sucrose, sucrose content, purity), yields and yield components (millable stalk number/ha, stalk height, stalk diameter, internode number). Based on sugar yields, four genotypes equivalent to the check (R579), namely KQ228, R97-6177, R99-4064 and KQ236, were found promising for the next advanced selection stage with, respectively, 19.2, 17.7, 17.3 and 16.9 t sugar/ha. Their cane yield performances ranged from 147.7 to 170.8 t/ha compared to 170.7 for the check and belong to 3 clusters genotypes over the eight determined. Not only sugar yield, but also flowering rate, stem borer infestation rate and number of tillers per hectare were found as the most relevant agro-morphological traits in the genetic variation of sugarcane genotypes tested.
VL  - 7
IS  - 6
ER  -

Copy | Download

Author Information

Crépin Bi Péné

Research and Development Department, Ferké 1&2 Sugar Estates, SUCAF-CI/SOMDIAA Company, Abidjan, Ivory Coast
Yavo Mickle Béhou

Department of Agronomy, Agricultural Engineering and Forestry, Doctoral College, Polytechnic Institute Houphouet-Boigny, Yamoussoukro, Ivory Coast

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Crépin Bi Péné, Yavo Mickle Béhou. (2019). Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast. American Journal of Bioscience and Bioengineering, 7(6), 82-92. https://doi.org/10.11648/j.bio.20190706.12

Copy | Download

ACS Style

Crépin Bi Péné; Yavo Mickle Béhou. Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast. Am. J. BioSci. Bioeng. 2019, 7(6), 82-92. doi: 10.11648/j.bio.20190706.12

Copy | Download

AMA Style

Crépin Bi Péné, Yavo Mickle Béhou. Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast. Am J BioSci Bioeng. 2019;7(6):82-92. doi: 10.11648/j.bio.20190706.12

Copy | Download

@article{10.11648/j.bio.20190706.12,
  author = {Crépin Bi Péné and Yavo Mickle Béhou},
  title = {Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast},
  journal = {American Journal of Bioscience and Bioengineering},
  volume = {7},
  number = {6},
  pages = {82-92},
  doi = {10.11648/j.bio.20190706.12},
  url = {https://doi.org/10.11648/j.bio.20190706.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20190706.12},
  abstract = {The objective of the study was to determine the best performing sugarcane genotypes tested at early selection stage under sprinkler irrigation, in comparison with a check variety (R579). The experiment was designed following a randomized complete block (RCB) with 21 cane genotypes in three replications. Each plot consisted of five dual rows of ten meters with 0.5 and 1.90 m of inter-row spacing, i.e. 95 m2 per plot and about 6,000 m2 for the whole experiment. It was carried out on a commercial sugarcane plantation of Ferké 2 located in the northern part of the country, over two seasons (plant cane and first ratoon) as an early-season crop from, November 18, 2016 to November 15, 2018. Over each micro-plot, data based on different agro-morphological traits were collected at harvest from three central dual rows. The study showed that most relevant traits in genotype clustering were related to juice quality (recoverable sucrose, sucrose content, purity), yields and yield components (millable stalk number/ha, stalk height, stalk diameter, internode number). Based on sugar yields, four genotypes equivalent to the check (R579), namely KQ228, R97-6177, R99-4064 and KQ236, were found promising for the next advanced selection stage with, respectively, 19.2, 17.7, 17.3 and 16.9 t sugar/ha. Their cane yield performances ranged from 147.7 to 170.8 t/ha compared to 170.7 for the check and belong to 3 clusters genotypes over the eight determined. Not only sugar yield, but also flowering rate, stem borer infestation rate and number of tillers per hectare were found as the most relevant agro-morphological traits in the genetic variation of sugarcane genotypes tested.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Evaluation of Sugarcane Genotypes Under Irrigation Based on Genetic Variations and Heritability for Agronomic Traits at Early Selection Stage in Ferké, Ivory Coast
AU  - Crépin Bi Péné
AU  - Yavo Mickle Béhou
Y1  - 2019/12/25
PY  - 2019
N1  - https://doi.org/10.11648/j.bio.20190706.12
DO  - 10.11648/j.bio.20190706.12
T2  - American Journal of Bioscience and Bioengineering
JF  - American Journal of Bioscience and Bioengineering
JO  - American Journal of Bioscience and Bioengineering
SP  - 82
EP  - 92
PB  - Science Publishing Group
SN  - 2328-5893
UR  - https://doi.org/10.11648/j.bio.20190706.12
AB  - The objective of the study was to determine the best performing sugarcane genotypes tested at early selection stage under sprinkler irrigation, in comparison with a check variety (R579). The experiment was designed following a randomized complete block (RCB) with 21 cane genotypes in three replications. Each plot consisted of five dual rows of ten meters with 0.5 and 1.90 m of inter-row spacing, i.e. 95 m2 per plot and about 6,000 m2 for the whole experiment. It was carried out on a commercial sugarcane plantation of Ferké 2 located in the northern part of the country, over two seasons (plant cane and first ratoon) as an early-season crop from, November 18, 2016 to November 15, 2018. Over each micro-plot, data based on different agro-morphological traits were collected at harvest from three central dual rows. The study showed that most relevant traits in genotype clustering were related to juice quality (recoverable sucrose, sucrose content, purity), yields and yield components (millable stalk number/ha, stalk height, stalk diameter, internode number). Based on sugar yields, four genotypes equivalent to the check (R579), namely KQ228, R97-6177, R99-4064 and KQ236, were found promising for the next advanced selection stage with, respectively, 19.2, 17.7, 17.3 and 16.9 t sugar/ha. Their cane yield performances ranged from 147.7 to 170.8 t/ha compared to 170.7 for the check and belong to 3 clusters genotypes over the eight determined. Not only sugar yield, but also flowering rate, stem borer infestation rate and number of tillers per hectare were found as the most relevant agro-morphological traits in the genetic variation of sugarcane genotypes tested.
VL  - 7
IS  - 6
ER  -

Copy | Download