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50 years of rice breeding in Bangladesh: genetic yield trends

To assess the efficiency of genetic improvement programs, it is essential to assess the genetic trend in long-term data. The present study estimates the genetic trends for grain yield of rice varieties released between 1970 and 2020 by the Bangladesh Rice Research Institute. The yield of the varieti...

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Autores principales: Rahman, Niaz Md. Farhat, Malik, Waqas Ahmed, Kabir, Md. Shahjahan, Baten, Md. Azizul, Hossain, Md. Ismail, Paul, Debi Narayan Rudra, Ahmed, Rokib, Biswas, Partha Sarathi, Rahman, Md. Chhiddikur, Rahman, Md. Sazzadur, Iftekharuddaula, Khandakar Md., Hadasch, Steffen, Schmidt, Paul, Islam, Md. Rafiqul, Rahman, Md. Akhlasur, Atlin, Gary N., Piepho, Hans-Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867671/
https://www.ncbi.nlm.nih.gov/pubmed/36680594
http://dx.doi.org/10.1007/s00122-023-04260-x
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author Rahman, Niaz Md. Farhat
Malik, Waqas Ahmed
Kabir, Md. Shahjahan
Baten, Md. Azizul
Hossain, Md. Ismail
Paul, Debi Narayan Rudra
Ahmed, Rokib
Biswas, Partha Sarathi
Rahman, Md. Chhiddikur
Rahman, Md. Sazzadur
Iftekharuddaula, Khandakar Md.
Hadasch, Steffen
Schmidt, Paul
Islam, Md. Rafiqul
Rahman, Md. Akhlasur
Atlin, Gary N.
Piepho, Hans-Peter
author_facet Rahman, Niaz Md. Farhat
Malik, Waqas Ahmed
Kabir, Md. Shahjahan
Baten, Md. Azizul
Hossain, Md. Ismail
Paul, Debi Narayan Rudra
Ahmed, Rokib
Biswas, Partha Sarathi
Rahman, Md. Chhiddikur
Rahman, Md. Sazzadur
Iftekharuddaula, Khandakar Md.
Hadasch, Steffen
Schmidt, Paul
Islam, Md. Rafiqul
Rahman, Md. Akhlasur
Atlin, Gary N.
Piepho, Hans-Peter
author_sort Rahman, Niaz Md. Farhat
collection PubMed
description To assess the efficiency of genetic improvement programs, it is essential to assess the genetic trend in long-term data. The present study estimates the genetic trends for grain yield of rice varieties released between 1970 and 2020 by the Bangladesh Rice Research Institute. The yield of the varieties was assessed from 2001–2002 to 2020–2021 in multi-locations trials. In such a series of trials, yield may increase over time due to (i) genetic improvement (genetic trend) and (ii) improved management or favorable climate change (agronomic/non-genetic trend). In both the winter and monsoon seasons, we observed positive genetic and non-genetic trends. The annual genetic trend for grain yield in both winter and monsoon rice varieties was 0.01 t ha(−1), while the non-genetic trend for both seasons was 0.02 t ha(−1), corresponding to yearly genetic gains of 0.28% and 0.18% in winter and monsoon seasons, respectively. The overall percentage yield change from 1970 until 2020 for winter rice was 40.96%, of which 13.91% was genetic trend and 27.05% was non-genetic. For the monsoon season, the overall percentage change from 1973 until 2020 was 38.39%, of which genetic and non-genetic increases were 8.36% and 30.03%, respectively. Overall, the contribution of non-genetic trend is larger than genetic trend both for winter and monsoon seasons. These results suggest that limited progress has been made in improving yield in Bangladeshi rice breeding programs over the last 50 years. Breeding programs need to be modernized to deliver sufficient genetic gains in the future to sustain Bangladeshi food security. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04260-x.
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spelling pubmed-98676712023-01-23 50 years of rice breeding in Bangladesh: genetic yield trends Rahman, Niaz Md. Farhat Malik, Waqas Ahmed Kabir, Md. Shahjahan Baten, Md. Azizul Hossain, Md. Ismail Paul, Debi Narayan Rudra Ahmed, Rokib Biswas, Partha Sarathi Rahman, Md. Chhiddikur Rahman, Md. Sazzadur Iftekharuddaula, Khandakar Md. Hadasch, Steffen Schmidt, Paul Islam, Md. Rafiqul Rahman, Md. Akhlasur Atlin, Gary N. Piepho, Hans-Peter Theor Appl Genet Original Article To assess the efficiency of genetic improvement programs, it is essential to assess the genetic trend in long-term data. The present study estimates the genetic trends for grain yield of rice varieties released between 1970 and 2020 by the Bangladesh Rice Research Institute. The yield of the varieties was assessed from 2001–2002 to 2020–2021 in multi-locations trials. In such a series of trials, yield may increase over time due to (i) genetic improvement (genetic trend) and (ii) improved management or favorable climate change (agronomic/non-genetic trend). In both the winter and monsoon seasons, we observed positive genetic and non-genetic trends. The annual genetic trend for grain yield in both winter and monsoon rice varieties was 0.01 t ha(−1), while the non-genetic trend for both seasons was 0.02 t ha(−1), corresponding to yearly genetic gains of 0.28% and 0.18% in winter and monsoon seasons, respectively. The overall percentage yield change from 1970 until 2020 for winter rice was 40.96%, of which 13.91% was genetic trend and 27.05% was non-genetic. For the monsoon season, the overall percentage change from 1973 until 2020 was 38.39%, of which genetic and non-genetic increases were 8.36% and 30.03%, respectively. Overall, the contribution of non-genetic trend is larger than genetic trend both for winter and monsoon seasons. These results suggest that limited progress has been made in improving yield in Bangladeshi rice breeding programs over the last 50 years. Breeding programs need to be modernized to deliver sufficient genetic gains in the future to sustain Bangladeshi food security. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04260-x. Springer Berlin Heidelberg 2023-01-21 2023 /pmc/articles/PMC9867671/ /pubmed/36680594 http://dx.doi.org/10.1007/s00122-023-04260-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Rahman, Niaz Md. Farhat
Malik, Waqas Ahmed
Kabir, Md. Shahjahan
Baten, Md. Azizul
Hossain, Md. Ismail
Paul, Debi Narayan Rudra
Ahmed, Rokib
Biswas, Partha Sarathi
Rahman, Md. Chhiddikur
Rahman, Md. Sazzadur
Iftekharuddaula, Khandakar Md.
Hadasch, Steffen
Schmidt, Paul
Islam, Md. Rafiqul
Rahman, Md. Akhlasur
Atlin, Gary N.
Piepho, Hans-Peter
50 years of rice breeding in Bangladesh: genetic yield trends
title 50 years of rice breeding in Bangladesh: genetic yield trends
title_full 50 years of rice breeding in Bangladesh: genetic yield trends
title_fullStr 50 years of rice breeding in Bangladesh: genetic yield trends
title_full_unstemmed 50 years of rice breeding in Bangladesh: genetic yield trends
title_short 50 years of rice breeding in Bangladesh: genetic yield trends
title_sort 50 years of rice breeding in bangladesh: genetic yield trends
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867671/
https://www.ncbi.nlm.nih.gov/pubmed/36680594
http://dx.doi.org/10.1007/s00122-023-04260-x
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