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Crop model determined mega-environments for cassava yield trials on paddy fields following rice
The Cropping System Model (CSM)-MANIHOT-Cassava provides the opportunity to determine target environments for cassava (Manihot esculenta Crantz) yield trials by simulating growth and yield data for various environments. The aim of this research was to investigate whether cassava production on paddy...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009544/ https://www.ncbi.nlm.nih.gov/pubmed/36923856 http://dx.doi.org/10.1016/j.heliyon.2023.e14201 |
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author | Sawatraksa, Nateetip Banterng, Poramate Jogloy, Sanun Vorasoot, Nimitr Hoogenboom, Gerrit |
author_facet | Sawatraksa, Nateetip Banterng, Poramate Jogloy, Sanun Vorasoot, Nimitr Hoogenboom, Gerrit |
author_sort | Sawatraksa, Nateetip |
collection | PubMed |
description | The Cropping System Model (CSM)-MANIHOT-Cassava provides the opportunity to determine target environments for cassava (Manihot esculenta Crantz) yield trials by simulating growth and yield data for various environments. The aim of this research was to investigate whether cassava production on paddy fields in Northeast, Thailand could be grouped into mega-environments using the model. Simulations for four different cassava genotypes grown on paddy field following rice harvest was conducted for various soil types and the weather data from 1988 to 2017. The genotype main effect plus genotype by environment interaction (GGE biplot) technique was used to group the mega-environments. The analyses of yearly data showed inconsistent results across years for environment grouping and for the winning genotypes of the individual environment group. An analysis using GGE biplot with the average value of the simulated storage root dry weight (SDW) for 30 years indicated that all 41 environments were grouped into two different mega-environments. This study demonstrated the ability of the CSM-MANIHOT-Cassava to help identify the mega-environments for cassava yield trials on paddy field during off-season of rice that could help reduce both time and resources. |
format | Online Article Text |
id | pubmed-10009544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100095442023-03-14 Crop model determined mega-environments for cassava yield trials on paddy fields following rice Sawatraksa, Nateetip Banterng, Poramate Jogloy, Sanun Vorasoot, Nimitr Hoogenboom, Gerrit Heliyon Research Article The Cropping System Model (CSM)-MANIHOT-Cassava provides the opportunity to determine target environments for cassava (Manihot esculenta Crantz) yield trials by simulating growth and yield data for various environments. The aim of this research was to investigate whether cassava production on paddy fields in Northeast, Thailand could be grouped into mega-environments using the model. Simulations for four different cassava genotypes grown on paddy field following rice harvest was conducted for various soil types and the weather data from 1988 to 2017. The genotype main effect plus genotype by environment interaction (GGE biplot) technique was used to group the mega-environments. The analyses of yearly data showed inconsistent results across years for environment grouping and for the winning genotypes of the individual environment group. An analysis using GGE biplot with the average value of the simulated storage root dry weight (SDW) for 30 years indicated that all 41 environments were grouped into two different mega-environments. This study demonstrated the ability of the CSM-MANIHOT-Cassava to help identify the mega-environments for cassava yield trials on paddy field during off-season of rice that could help reduce both time and resources. Elsevier 2023-02-28 /pmc/articles/PMC10009544/ /pubmed/36923856 http://dx.doi.org/10.1016/j.heliyon.2023.e14201 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Sawatraksa, Nateetip Banterng, Poramate Jogloy, Sanun Vorasoot, Nimitr Hoogenboom, Gerrit Crop model determined mega-environments for cassava yield trials on paddy fields following rice |
title | Crop model determined mega-environments for cassava yield trials on paddy fields following rice |
title_full | Crop model determined mega-environments for cassava yield trials on paddy fields following rice |
title_fullStr | Crop model determined mega-environments for cassava yield trials on paddy fields following rice |
title_full_unstemmed | Crop model determined mega-environments for cassava yield trials on paddy fields following rice |
title_short | Crop model determined mega-environments for cassava yield trials on paddy fields following rice |
title_sort | crop model determined mega-environments for cassava yield trials on paddy fields following rice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009544/ https://www.ncbi.nlm.nih.gov/pubmed/36923856 http://dx.doi.org/10.1016/j.heliyon.2023.e14201 |
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