Yield and Response of Bean Breeding Lines for Drought Tolerance to Field Diseases

Climate change has resulted in an increase in the intensity of droughts and rains, and higher temperatures which are adversely affecting crop production in Africa. It has also influenced the distribution and increased the occurrence of disease and pest epidemics. Common bean (Phaseolus vulgaris L.)...

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Main Authors: Amongi, Winnyfred, Mukankusi, Clare Mugisha, Sebuliba, Sulaiman, Nakyanzi, Brenda, Naluwooza, Claire, Baguma, Gerald
Format: Journal Article
Language:Inglés
Published: Canadian Center of Science and Education 2019
Subjects:
Online Access:https://hdl.handle.net/10568/103769
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author Amongi, Winnyfred
Mukankusi, Clare Mugisha
Sebuliba, Sulaiman
Nakyanzi, Brenda
Naluwooza, Claire
Baguma, Gerald
author_browse Amongi, Winnyfred
Baguma, Gerald
Mukankusi, Clare Mugisha
Nakyanzi, Brenda
Naluwooza, Claire
Sebuliba, Sulaiman
author_facet Amongi, Winnyfred
Mukankusi, Clare Mugisha
Sebuliba, Sulaiman
Nakyanzi, Brenda
Naluwooza, Claire
Baguma, Gerald
author_sort Amongi, Winnyfred
collection Repository of Agricultural Research Outputs (CGSpace)
description Climate change has resulted in an increase in the intensity of droughts and rains, and higher temperatures which are adversely affecting crop production in Africa. It has also influenced the distribution and increased the occurrence of disease and pest epidemics. Common bean (Phaseolus vulgaris L.) is especially sensitive to these changes. Most released varieties are not well adapted to environmental extremes and extended periods of drought in particular has become a major constraint. In this study, 462 advanced breeding lines developed for drought tolerance were evaluated for yield, agronomic traits and disease response in two contrasting agro-ecologies, Kawanda in the Lake Victoria crescent and Kachwekano in the southwestern highlands. Analysis of variance indicated significant differences (P < 0.05) among lines for most variables and environments (P <0.001). Performance was better at Kachwekano than Kawanda with mean yields ranging from 928 to 2251 kg ha-1, and 698 to 2036 kg ha-1 respectively. Angular leafspot, common bacterial blight and rust diseases varied between locations, and among lines with no visible to sever symptoms. Based on Wricke’s ecovalence estimates for stability, SCN20, SCN13, SEN114, SEC40 and SEC35 expressed yield stability and superiority. Of the 462 lines, 6.3 % maintained >1500 kg ha-1, the minimum anticipated commercial yield of new varieties, in all the trials, both seasons and in each year; 5.0 % also maintained above average yields. The most outstanding (1629-3944 kg ha-1) were; DAB299, DAB291, DAB234, DAD34, DAB478, DAB487, DAB543, DAB231, SCN20, SCR66, SCR60, and SER335. These are recommended for development of new varieties.
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spelling CGSpace1037692025-11-05T16:52:45Z Yield and Response of Bean Breeding Lines for Drought Tolerance to Field Diseases Amongi, Winnyfred Mukankusi, Clare Mugisha Sebuliba, Sulaiman Nakyanzi, Brenda Naluwooza, Claire Baguma, Gerald diseases drought climate change agriculture beans frameworks Climate change has resulted in an increase in the intensity of droughts and rains, and higher temperatures which are adversely affecting crop production in Africa. It has also influenced the distribution and increased the occurrence of disease and pest epidemics. Common bean (Phaseolus vulgaris L.) is especially sensitive to these changes. Most released varieties are not well adapted to environmental extremes and extended periods of drought in particular has become a major constraint. In this study, 462 advanced breeding lines developed for drought tolerance were evaluated for yield, agronomic traits and disease response in two contrasting agro-ecologies, Kawanda in the Lake Victoria crescent and Kachwekano in the southwestern highlands. Analysis of variance indicated significant differences (P < 0.05) among lines for most variables and environments (P <0.001). Performance was better at Kachwekano than Kawanda with mean yields ranging from 928 to 2251 kg ha-1, and 698 to 2036 kg ha-1 respectively. Angular leafspot, common bacterial blight and rust diseases varied between locations, and among lines with no visible to sever symptoms. Based on Wricke’s ecovalence estimates for stability, SCN20, SCN13, SEN114, SEC40 and SEC35 expressed yield stability and superiority. Of the 462 lines, 6.3 % maintained >1500 kg ha-1, the minimum anticipated commercial yield of new varieties, in all the trials, both seasons and in each year; 5.0 % also maintained above average yields. The most outstanding (1629-3944 kg ha-1) were; DAB299, DAB291, DAB234, DAD34, DAB478, DAB487, DAB543, DAB231, SCN20, SCR66, SCR60, and SER335. These are recommended for development of new varieties. 2019-08 2019-09-26T14:44:47Z 2019-09-26T14:44:47Z Journal Article https://hdl.handle.net/10568/103769 en Open Access application/pdf Canadian Center of Science and Education Amongi, Winnyfred; Mukankusi, Clare; Sebuliba, Sulaiman; Nakyanzi, Brenda; Naluwooza, Claire; Baguma, Gerald (2019). Yield and Response of Bean Breeding Lines for Drought Tolerance to Field Diseases. Journal of Agricultural Science 11(13): 81-98.
spellingShingle diseases
drought
climate change
agriculture
beans
frameworks
Amongi, Winnyfred
Mukankusi, Clare Mugisha
Sebuliba, Sulaiman
Nakyanzi, Brenda
Naluwooza, Claire
Baguma, Gerald
Yield and Response of Bean Breeding Lines for Drought Tolerance to Field Diseases
title Yield and Response of Bean Breeding Lines for Drought Tolerance to Field Diseases
title_full Yield and Response of Bean Breeding Lines for Drought Tolerance to Field Diseases
title_fullStr Yield and Response of Bean Breeding Lines for Drought Tolerance to Field Diseases
title_full_unstemmed Yield and Response of Bean Breeding Lines for Drought Tolerance to Field Diseases
title_short Yield and Response of Bean Breeding Lines for Drought Tolerance to Field Diseases
title_sort yield and response of bean breeding lines for drought tolerance to field diseases
topic diseases
drought
climate change
agriculture
beans
frameworks
url https://hdl.handle.net/10568/103769
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