Persaud et al

By Persaud, M; McGowan, D; Gobind, N; Persaud, R; Corredor, E (2022).

Greener Journal of Plant Breeding and Crop Science

Vol. 10(1), pp. 1-7, 2022

ISSN: 2354-2292

Copyright ©2022, the copyright of this article is retained by the author(s)

https://gjournals.org/GJPBCS

   

 

 

 

 

Evaluation of Yield and Yield Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.) over Two Rice Growing Seasons in Guyana.

 

 

Mahendra Persaud1*, Danata McGowan1, Nandram Gobind1, Rajendra Persaud1, Edgar Corredor2

 

 

1,Guyana Rice Development Board, Rice Research Station, Burma, Mahaicony, East Coast Demerara, Guyana

2, Fund for Latin America Rice/Central Institute for Tropical Agriculture, Cali, Colombia

 

ARTICLE INFO ABSTRACT  

Article No.: 120121142

Type: Research

Full Text: PDF, HTML, EPUB, PHP Rice has grown to be the most economically important food crop in numerous countries due to food diversification. The increase in rice productivity has become fundamental in order to meet the world’s current population growth rate. However, as the availability of arable land continues to decline it is crucial to increase crop yield through the development of high yielding varieties. In the present study fifteen advanced breeding lines of rice (FG12-23, FG12-49, FG12-259, G14-10, G15-02, G15-11, FG15-01, FG15-02, G16-102, G16-104, G16-108, G16-112, FG14-43, FG15-35, G13-126) were evaluated in a randomized complete block design with three replicates in the background of commercial varieties GRDB FL 10, GRDB FL 12 and GRDB FL 14 for their yield and yield attributing traits. The trial was conducted at Black Bush Polder, Region 6 during the first and second crop/season of 2018 in Guyana. Mean values for quantitative traits viz. plant height, productive tillers/m2, lodging %, grain yield, panicle length, filled and unfilled grains per panicle, spikelet fertility and 1000 grain weight were compared according to least significant differences (LSD) statistical test. All traits examined showed some degree of significant variability. Line FG12-259 recorded the most tillers/m2 (338) as well as the highest grain yield (7276.6 Kg/ha) over the two seasons. With regards to filled and unfilled grains per panicle, lines G16-108 and G16-104 both recorded 168 filled grains per panicle which was significantly higher than the other tested lines while G16-104 also recorded the most unfilled grains per panicle (45). GRDB 10 was observed to have the highest spikelet fertility (90.7%) while G15-02 attained the lowest (73.5%). Panicle length ranged from 21.67cm in G16-108 to 29.56cm in GRDB 12 while maximum 1000 grain weight was 30.75g (G15-02) and the minimum 22.53g (G16-108). The plant height of the tested lines ranged from semi-dwarf to intermediate averaging 108.7cm. Relatively low incidence of lodging was observed (<12%) as only four of the tested lines G15-11, FG15-01, GRDB 10 and GRDB 12 showed signs of lodging. FG12-259 was recommended for further evaluation in farmers’ fields.  

Accepted:  06/12/2021

Published: 13/01/2022  

*Corresponding Author

Mahendra Persaud

E-mail: mahendra21@ gmail.com  

Keywords:

Genotypes, Advanced Breeding Lines, Grain Yield, Spring Crop, Autumn Crop.    

 

Return to Content  Full Text: PDF, HTML, EPUB, PHP

 

 

 

REFERENCES

 

1. Bhadru, D., D. L. Reddy and M. S. Ramesha, 2011, Correlation and Path coefficient Analysis of Yield and Yield Contributing    Traits in Rice Hybrids and their Parental Lines. Electronic Journal of Plant Breeding 2 (1) 112-116.
2. Bangladesh Rice Research Institute (BRRI), 1999, Annual Report for January 1998- June 1999. Bangladesh Rice Res. Inst. Gazipur, Pub. 135.
3. Haryanto TAD, Suwarto and T. Yoshida 2008 Yield Stability of Aromatic Upland Rice with High Yielding Ability in Indonesia. Plant Prod. Sci. 11 96-103.
4. International Rice Research Institute (IRRI), 2013 Standard Evaluation System for Rice (International Rice Research Institute. Philippines).
5. International Rice Research Institute (IRRI), 2007 Rice Knowledge Bank: http://www.knowledgebank.irri.org/ericeproduction/II.6_Seedling_and_plant_rate.htm
6. Kalyan, B., K. V. Radha-Krishna and L. V. Subba Rao, 2017, Path Coefficient Analysis for Yield and Yield Contributing Traits in Rice (Oryza sativa L.) Genotypes Int.J.Curr.Microbiol.App.Sci.
7. Ma LL, Guo LB, Qian Q, 2006, Germplasm resources and genetic analysis of large grain in rice. Chin. Bull. Bot. 23, 395–401 (in Chinese with an English abstract).
8. Manjappa Uday, G. and S. Hittalmani, 2014, Association Analysis of Drought and Yield Related Traits in F2 Population of Moroberekan/IR64 Rice Cross under Aerobic Condition. Int. J. Agril. Sci. Res. 4(2), 79-88.
9. Mohanty, S., 2013, Trends in Global Rice Consumption, Rice Today (IRRI).
10. Sadimantara, G., W. Nuraida, N. Suliartini and Muhidin, 2018, Evaluation of some New Plant Type of Upland Rice (Oryza sativa L.) Lines Derived from Cross Breeding for the Growth and Yield Characteristics. IOP Conf. Series: Earth and Environmental Science 157.
11. Shahidullah, S. M., M. M. Hanafi, M. Ashrafuzzaman, M. K. Uddin and S. Meon, 2009, Analysis of Lodging Parameters in Aromatic Rice. Achieves on Agronomy and Soil Sci 55 525-533.
12. Shahriar, H., A. Robin and A. Hoque, 2014, Diversity Assessment of Yield, Yield Contributing Traits, and Earliness of Advanced T-aman Rice (Oryza sativa L.) Lines Journal of Bioscience and Agriculture Research.
13. Wang Y, T. Ren, J. W. Lu, R. Ming, P. F. Li, H. Saddam, R. H. Cong and X. K. Li, 2016, Heterogeneity in Rice Tillers Yield Associated with Tillers Formation and Nitrogen Fertilizer Agronomy Journal 108 1717–1725.

 

Cite this Article: Persaud, M; McGowan, D; Gobind, N; Persaud, R; Corredor, E (2022). Evaluation of Yield and Yield Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.) over Two Rice Growing Seasons in Guyana. Greener Journal of Plant Breeding and Crop Science, 10(1): 1-7.

Journal Name : citation_journal : Greener Journal of Plant Breeding and Crop Science

Persaud et al

By Persaud, M; McGowan, D; Gobind, N; Persaud, R; Corredor, E (2022).

Greener Journal of Plant Breeding and Crop Science

Vol. 10(1), pp. 1-7, 2022

ISSN: 2354-2292

Copyright ©2022, the copyright of this article is retained by the author(s)

https://gjournals.org/GJPBCS

   

 

 

 

 

Evaluation of Yield and Yield Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.) over Two Rice Growing Seasons in Guyana.

 

 

Mahendra Persaud1*, Danata McGowan1, Nandram Gobind1, Rajendra Persaud1, Edgar Corredor2

 

 

1,Guyana Rice Development Board, Rice Research Station, Burma, Mahaicony, East Coast Demerara, Guyana

2, Fund for Latin America Rice/Central Institute for Tropical Agriculture, Cali, Colombia

 

ARTICLE INFO ABSTRACT  

Article No.: 120121142

Type: Research

Full Text: PDF, HTML, EPUB, PHP Rice has grown to be the most economically important food crop in numerous countries due to food diversification. The increase in rice productivity has become fundamental in order to meet the world’s current population growth rate. However, as the availability of arable land continues to decline it is crucial to increase crop yield through the development of high yielding varieties. In the present study fifteen advanced breeding lines of rice (FG12-23, FG12-49, FG12-259, G14-10, G15-02, G15-11, FG15-01, FG15-02, G16-102, G16-104, G16-108, G16-112, FG14-43, FG15-35, G13-126) were evaluated in a randomized complete block design with three replicates in the background of commercial varieties GRDB FL 10, GRDB FL 12 and GRDB FL 14 for their yield and yield attributing traits. The trial was conducted at Black Bush Polder, Region 6 during the first and second crop/season of 2018 in Guyana. Mean values for quantitative traits viz. plant height, productive tillers/m2, lodging %, grain yield, panicle length, filled and unfilled grains per panicle, spikelet fertility and 1000 grain weight were compared according to least significant differences (LSD) statistical test. All traits examined showed some degree of significant variability. Line FG12-259 recorded the most tillers/m2 (338) as well as the highest grain yield (7276.6 Kg/ha) over the two seasons. With regards to filled and unfilled grains per panicle, lines G16-108 and G16-104 both recorded 168 filled grains per panicle which was significantly higher than the other tested lines while G16-104 also recorded the most unfilled grains per panicle (45). GRDB 10 was observed to have the highest spikelet fertility (90.7%) while G15-02 attained the lowest (73.5%). Panicle length ranged from 21.67cm in G16-108 to 29.56cm in GRDB 12 while maximum 1000 grain weight was 30.75g (G15-02) and the minimum 22.53g (G16-108). The plant height of the tested lines ranged from semi-dwarf to intermediate averaging 108.7cm. Relatively low incidence of lodging was observed (<12%) as only four of the tested lines G15-11, FG15-01, GRDB 10 and GRDB 12 showed signs of lodging. FG12-259 was recommended for further evaluation in farmers’ fields.  

Accepted:  06/12/2021

Published: 13/01/2022  

*Corresponding Author

Mahendra Persaud

E-mail: mahendra21@ gmail.com  

Keywords:

Genotypes, Advanced Breeding Lines, Grain Yield, Spring Crop, Autumn Crop.    

 

Return to Content  Full Text: PDF, HTML, EPUB, PHP

 

 

 

REFERENCES

 

1. Bhadru, D., D. L. Reddy and M. S. Ramesha, 2011, Correlation and Path coefficient Analysis of Yield and Yield Contributing    Traits in Rice Hybrids and their Parental Lines. Electronic Journal of Plant Breeding 2 (1) 112-116.
2. Bangladesh Rice Research Institute (BRRI), 1999, Annual Report for January 1998- June 1999. Bangladesh Rice Res. Inst. Gazipur, Pub. 135.
3. Haryanto TAD, Suwarto and T. Yoshida 2008 Yield Stability of Aromatic Upland Rice with High Yielding Ability in Indonesia. Plant Prod. Sci. 11 96-103.
4. International Rice Research Institute (IRRI), 2013 Standard Evaluation System for Rice (International Rice Research Institute. Philippines).
5. International Rice Research Institute (IRRI), 2007 Rice Knowledge Bank: http://www.knowledgebank.irri.org/ericeproduction/II.6_Seedling_and_plant_rate.htm
6. Kalyan, B., K. V. Radha-Krishna and L. V. Subba Rao, 2017, Path Coefficient Analysis for Yield and Yield Contributing Traits in Rice (Oryza sativa L.) Genotypes Int.J.Curr.Microbiol.App.Sci.
7. Ma LL, Guo LB, Qian Q, 2006, Germplasm resources and genetic analysis of large grain in rice. Chin. Bull. Bot. 23, 395–401 (in Chinese with an English abstract).
8. Manjappa Uday, G. and S. Hittalmani, 2014, Association Analysis of Drought and Yield Related Traits in F2 Population of Moroberekan/IR64 Rice Cross under Aerobic Condition. Int. J. Agril. Sci. Res. 4(2), 79-88.
9. Mohanty, S., 2013, Trends in Global Rice Consumption, Rice Today (IRRI).
10. Sadimantara, G., W. Nuraida, N. Suliartini and Muhidin, 2018, Evaluation of some New Plant Type of Upland Rice (Oryza sativa L.) Lines Derived from Cross Breeding for the Growth and Yield Characteristics. IOP Conf. Series: Earth and Environmental Science 157.
11. Shahidullah, S. M., M. M. Hanafi, M. Ashrafuzzaman, M. K. Uddin and S. Meon, 2009, Analysis of Lodging Parameters in Aromatic Rice. Achieves on Agronomy and Soil Sci 55 525-533.
12. Shahriar, H., A. Robin and A. Hoque, 2014, Diversity Assessment of Yield, Yield Contributing Traits, and Earliness of Advanced T-aman Rice (Oryza sativa L.) Lines Journal of Bioscience and Agriculture Research.
13. Wang Y, T. Ren, J. W. Lu, R. Ming, P. F. Li, H. Saddam, R. H. Cong and X. K. Li, 2016, Heterogeneity in Rice Tillers Yield Associated with Tillers Formation and Nitrogen Fertilizer Agronomy Journal 108 1717–1725.

 

Cite this Article: Persaud, M; McGowan, D; Gobind, N; Persaud, R; Corredor, E (2022). Evaluation of Yield and Yield Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.) over Two Rice Growing Seasons in Guyana. Greener Journal of Plant Breeding and Crop Science, 10(1): 1-7.

Journal Name : citation_journal : Greener Journal of Plant Breeding and Crop Science

Persaud et al

By Persaud, M; McGowan, D; Gobind, N; Persaud, R; Corredor, E (2022).

Greener Journal of Plant Breeding and Crop Science

Vol. 10(1), pp. 1-7, 2022

ISSN: 2354-2292

Copyright ©2022, the copyright of this article is retained by the author(s)

https://gjournals.org/GJPBCS

   

 

 

 

 

Evaluation of Yield and Yield Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.) over Two Rice Growing Seasons in Guyana.

 

 

Mahendra Persaud1*, Danata McGowan1, Nandram Gobind1, Rajendra Persaud1, Edgar Corredor2

 

 

1,Guyana Rice Development Board, Rice Research Station, Burma, Mahaicony, East Coast Demerara, Guyana

2, Fund for Latin America Rice/Central Institute for Tropical Agriculture, Cali, Colombia

 

ARTICLE INFO ABSTRACT  

Article No.: 120121142

Type: Research

Full Text: PDF, HTML, EPUB, PHP Rice has grown to be the most economically important food crop in numerous countries due to food diversification. The increase in rice productivity has become fundamental in order to meet the world’s current population growth rate. However, as the availability of arable land continues to decline it is crucial to increase crop yield through the development of high yielding varieties. In the present study fifteen advanced breeding lines of rice (FG12-23, FG12-49, FG12-259, G14-10, G15-02, G15-11, FG15-01, FG15-02, G16-102, G16-104, G16-108, G16-112, FG14-43, FG15-35, G13-126) were evaluated in a randomized complete block design with three replicates in the background of commercial varieties GRDB FL 10, GRDB FL 12 and GRDB FL 14 for their yield and yield attributing traits. The trial was conducted at Black Bush Polder, Region 6 during the first and second crop/season of 2018 in Guyana. Mean values for quantitative traits viz. plant height, productive tillers/m2, lodging %, grain yield, panicle length, filled and unfilled grains per panicle, spikelet fertility and 1000 grain weight were compared according to least significant differences (LSD) statistical test. All traits examined showed some degree of significant variability. Line FG12-259 recorded the most tillers/m2 (338) as well as the highest grain yield (7276.6 Kg/ha) over the two seasons. With regards to filled and unfilled grains per panicle, lines G16-108 and G16-104 both recorded 168 filled grains per panicle which was significantly higher than the other tested lines while G16-104 also recorded the most unfilled grains per panicle (45). GRDB 10 was observed to have the highest spikelet fertility (90.7%) while G15-02 attained the lowest (73.5%). Panicle length ranged from 21.67cm in G16-108 to 29.56cm in GRDB 12 while maximum 1000 grain weight was 30.75g (G15-02) and the minimum 22.53g (G16-108). The plant height of the tested lines ranged from semi-dwarf to intermediate averaging 108.7cm. Relatively low incidence of lodging was observed (<12%) as only four of the tested lines G15-11, FG15-01, GRDB 10 and GRDB 12 showed signs of lodging. FG12-259 was recommended for further evaluation in farmers’ fields.  

Accepted:  06/12/2021

Published: 13/01/2022  

*Corresponding Author

Mahendra Persaud

E-mail: mahendra21@ gmail.com  

Keywords:

Genotypes, Advanced Breeding Lines, Grain Yield, Spring Crop, Autumn Crop.    

 

Return to Content  Full Text: PDF, HTML, EPUB, PHP

 

 

 

REFERENCES

 

1. Bhadru, D., D. L. Reddy and M. S. Ramesha, 2011, Correlation and Path coefficient Analysis of Yield and Yield Contributing    Traits in Rice Hybrids and their Parental Lines. Electronic Journal of Plant Breeding 2 (1) 112-116.
2. Bangladesh Rice Research Institute (BRRI), 1999, Annual Report for January 1998- June 1999. Bangladesh Rice Res. Inst. Gazipur, Pub. 135.
3. Haryanto TAD, Suwarto and T. Yoshida 2008 Yield Stability of Aromatic Upland Rice with High Yielding Ability in Indonesia. Plant Prod. Sci. 11 96-103.
4. International Rice Research Institute (IRRI), 2013 Standard Evaluation System for Rice (International Rice Research Institute. Philippines).
5. International Rice Research Institute (IRRI), 2007 Rice Knowledge Bank: http://www.knowledgebank.irri.org/ericeproduction/II.6_Seedling_and_plant_rate.htm
6. Kalyan, B., K. V. Radha-Krishna and L. V. Subba Rao, 2017, Path Coefficient Analysis for Yield and Yield Contributing Traits in Rice (Oryza sativa L.) Genotypes Int.J.Curr.Microbiol.App.Sci.
7. Ma LL, Guo LB, Qian Q, 2006, Germplasm resources and genetic analysis of large grain in rice. Chin. Bull. Bot. 23, 395–401 (in Chinese with an English abstract).
8. Manjappa Uday, G. and S. Hittalmani, 2014, Association Analysis of Drought and Yield Related Traits in F2 Population of Moroberekan/IR64 Rice Cross under Aerobic Condition. Int. J. Agril. Sci. Res. 4(2), 79-88.
9. Mohanty, S., 2013, Trends in Global Rice Consumption, Rice Today (IRRI).
10. Sadimantara, G., W. Nuraida, N. Suliartini and Muhidin, 2018, Evaluation of some New Plant Type of Upland Rice (Oryza sativa L.) Lines Derived from Cross Breeding for the Growth and Yield Characteristics. IOP Conf. Series: Earth and Environmental Science 157.
11. Shahidullah, S. M., M. M. Hanafi, M. Ashrafuzzaman, M. K. Uddin and S. Meon, 2009, Analysis of Lodging Parameters in Aromatic Rice. Achieves on Agronomy and Soil Sci 55 525-533.
12. Shahriar, H., A. Robin and A. Hoque, 2014, Diversity Assessment of Yield, Yield Contributing Traits, and Earliness of Advanced T-aman Rice (Oryza sativa L.) Lines Journal of Bioscience and Agriculture Research.
13. Wang Y, T. Ren, J. W. Lu, R. Ming, P. F. Li, H. Saddam, R. H. Cong and X. K. Li, 2016, Heterogeneity in Rice Tillers Yield Associated with Tillers Formation and Nitrogen Fertilizer Agronomy Journal 108 1717–1725.

 

Cite this Article: Persaud, M; McGowan, D; Gobind, N; Persaud, R; Corredor, E (2022). Evaluation of Yield and Yield Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.) over Two Rice Growing Seasons in Guyana. Greener Journal of Plant Breeding and Crop Science, 10(1): 1-7.

Journal Name : citation_journal : Greener Journal of Plant Breeding and Crop Science

Persaud et al

By Persaud, M; McGowan, D; Gobind, N; Persaud, R; Corredor, E (2022).

Greener Journal of Plant Breeding and Crop Science

Vol. 10(1), pp. 1-7, 2022

ISSN: 2354-2292

Copyright ©2022, the copyright of this article is retained by the author(s)

https://gjournals.org/GJPBCS

   

 

 

 

 

Evaluation of Yield and Yield Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.) over Two Rice Growing Seasons in Guyana.

 

 

Mahendra Persaud1*, Danata McGowan1, Nandram Gobind1, Rajendra Persaud1, Edgar Corredor2

 

 

1,Guyana Rice Development Board, Rice Research Station, Burma, Mahaicony, East Coast Demerara, Guyana

2, Fund for Latin America Rice/Central Institute for Tropical Agriculture, Cali, Colombia

 

ARTICLE INFO ABSTRACT  

Article No.: 120121142

Type: Research

Full Text: PDF, HTML, EPUB, PHP Rice has grown to be the most economically important food crop in numerous countries due to food diversification. The increase in rice productivity has become fundamental in order to meet the world’s current population growth rate. However, as the availability of arable land continues to decline it is crucial to increase crop yield through the development of high yielding varieties. In the present study fifteen advanced breeding lines of rice (FG12-23, FG12-49, FG12-259, G14-10, G15-02, G15-11, FG15-01, FG15-02, G16-102, G16-104, G16-108, G16-112, FG14-43, FG15-35, G13-126) were evaluated in a randomized complete block design with three replicates in the background of commercial varieties GRDB FL 10, GRDB FL 12 and GRDB FL 14 for their yield and yield attributing traits. The trial was conducted at Black Bush Polder, Region 6 during the first and second crop/season of 2018 in Guyana. Mean values for quantitative traits viz. plant height, productive tillers/m2, lodging %, grain yield, panicle length, filled and unfilled grains per panicle, spikelet fertility and 1000 grain weight were compared according to least significant differences (LSD) statistical test. All traits examined showed some degree of significant variability. Line FG12-259 recorded the most tillers/m2 (338) as well as the highest grain yield (7276.6 Kg/ha) over the two seasons. With regards to filled and unfilled grains per panicle, lines G16-108 and G16-104 both recorded 168 filled grains per panicle which was significantly higher than the other tested lines while G16-104 also recorded the most unfilled grains per panicle (45). GRDB 10 was observed to have the highest spikelet fertility (90.7%) while G15-02 attained the lowest (73.5%). Panicle length ranged from 21.67cm in G16-108 to 29.56cm in GRDB 12 while maximum 1000 grain weight was 30.75g (G15-02) and the minimum 22.53g (G16-108). The plant height of the tested lines ranged from semi-dwarf to intermediate averaging 108.7cm. Relatively low incidence of lodging was observed (<12%) as only four of the tested lines G15-11, FG15-01, GRDB 10 and GRDB 12 showed signs of lodging. FG12-259 was recommended for further evaluation in farmers’ fields.  

Accepted:  06/12/2021

Published: 13/01/2022  

*Corresponding Author

Mahendra Persaud

E-mail: mahendra21@ gmail.com  

Keywords:

Genotypes, Advanced Breeding Lines, Grain Yield, Spring Crop, Autumn Crop.    

 

Return to Content  Full Text: PDF, HTML, EPUB, PHP

 

 

 

REFERENCES

 

1. Bhadru, D., D. L. Reddy and M. S. Ramesha, 2011, Correlation and Path coefficient Analysis of Yield and Yield Contributing    Traits in Rice Hybrids and their Parental Lines. Electronic Journal of Plant Breeding 2 (1) 112-116.
2. Bangladesh Rice Research Institute (BRRI), 1999, Annual Report for January 1998- June 1999. Bangladesh Rice Res. Inst. Gazipur, Pub. 135.
3. Haryanto TAD, Suwarto and T. Yoshida 2008 Yield Stability of Aromatic Upland Rice with High Yielding Ability in Indonesia. Plant Prod. Sci. 11 96-103.
4. International Rice Research Institute (IRRI), 2013 Standard Evaluation System for Rice (International Rice Research Institute. Philippines).
5. International Rice Research Institute (IRRI), 2007 Rice Knowledge Bank: http://www.knowledgebank.irri.org/ericeproduction/II.6_Seedling_and_plant_rate.htm
6. Kalyan, B., K. V. Radha-Krishna and L. V. Subba Rao, 2017, Path Coefficient Analysis for Yield and Yield Contributing Traits in Rice (Oryza sativa L.) Genotypes Int.J.Curr.Microbiol.App.Sci.
7. Ma LL, Guo LB, Qian Q, 2006, Germplasm resources and genetic analysis of large grain in rice. Chin. Bull. Bot. 23, 395–401 (in Chinese with an English abstract).
8. Manjappa Uday, G. and S. Hittalmani, 2014, Association Analysis of Drought and Yield Related Traits in F2 Population of Moroberekan/IR64 Rice Cross under Aerobic Condition. Int. J. Agril. Sci. Res. 4(2), 79-88.
9. Mohanty, S., 2013, Trends in Global Rice Consumption, Rice Today (IRRI).
10. Sadimantara, G., W. Nuraida, N. Suliartini and Muhidin, 2018, Evaluation of some New Plant Type of Upland Rice (Oryza sativa L.) Lines Derived from Cross Breeding for the Growth and Yield Characteristics. IOP Conf. Series: Earth and Environmental Science 157.
11. Shahidullah, S. M., M. M. Hanafi, M. Ashrafuzzaman, M. K. Uddin and S. Meon, 2009, Analysis of Lodging Parameters in Aromatic Rice. Achieves on Agronomy and Soil Sci 55 525-533.
12. Shahriar, H., A. Robin and A. Hoque, 2014, Diversity Assessment of Yield, Yield Contributing Traits, and Earliness of Advanced T-aman Rice (Oryza sativa L.) Lines Journal of Bioscience and Agriculture Research.
13. Wang Y, T. Ren, J. W. Lu, R. Ming, P. F. Li, H. Saddam, R. H. Cong and X. K. Li, 2016, Heterogeneity in Rice Tillers Yield Associated with Tillers Formation and Nitrogen Fertilizer Agronomy Journal 108 1717–1725.

 

Cite this Article: Persaud, M; McGowan, D; Gobind, N; Persaud, R; Corredor, E (2022). Evaluation of Yield and Yield Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.) over Two Rice Growing Seasons in Guyana. Greener Journal of Plant Breeding and Crop Science, 10(1): 1-7.

Journal Name : citation_journal : Greener Journal of Plant Breeding and Crop Science