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Assessing the between-country genetic correlation in maize yield using German and Polish official variety trials
KEY MESSAGE: We assess the genetic gain and genetic correlation in maize yield using German and Polish official variety trials. The random coefficient models were fitted to assess the genetic correlation. ABSTRACT: Official variety testing is performed in many countries by statutory agencies in orde...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482609/ https://www.ncbi.nlm.nih.gov/pubmed/35831460 http://dx.doi.org/10.1007/s00122-022-04164-2 |
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author | Malik, Waqas Ahmed Buntaran, Harimurti Przystalski, Marcin Lenartowicz, Tomasz Piepho, Hans-Peter |
author_facet | Malik, Waqas Ahmed Buntaran, Harimurti Przystalski, Marcin Lenartowicz, Tomasz Piepho, Hans-Peter |
author_sort | Malik, Waqas Ahmed |
collection | PubMed |
description | KEY MESSAGE: We assess the genetic gain and genetic correlation in maize yield using German and Polish official variety trials. The random coefficient models were fitted to assess the genetic correlation. ABSTRACT: Official variety testing is performed in many countries by statutory agencies in order to identify the best candidates and make decisions on the addition to the national list. Neighbouring countries can have similarities in agroecological conditions, so it is worthwhile to consider a joint analysis of data from national list trials to assess the similarity in performance of those varieties tested in both countries. Here, maize yield data from official German and Poland variety trials for cultivation and use (VCU) were analysed for the period from 1987 to 2017. Several statistical models that incorporate environmental covariates were fitted. The best fitting model was used to compute estimates of genotype main effects for each country. It is demonstrated that a model with random genotype-by-country effects can be used to borrow strength across countries. The genetic correlation between cultivars from the two countries equalled 0.89. The analysis based on agroecological zones showed high correlation between zones in the two countries. The results also showed that 22 agroecological zones in Germany can be merged into five zones, whereas the six zones in Poland had very high correlation and can be considered as a single zone for maize. The 43 common varieties which were tested in both countries performed equally in both countries. The mean performances of these common varieties in both countries were highly correlated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-022-04164-2. |
format | Online Article Text |
id | pubmed-9482609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-94826092022-09-19 Assessing the between-country genetic correlation in maize yield using German and Polish official variety trials Malik, Waqas Ahmed Buntaran, Harimurti Przystalski, Marcin Lenartowicz, Tomasz Piepho, Hans-Peter Theor Appl Genet Original Article KEY MESSAGE: We assess the genetic gain and genetic correlation in maize yield using German and Polish official variety trials. The random coefficient models were fitted to assess the genetic correlation. ABSTRACT: Official variety testing is performed in many countries by statutory agencies in order to identify the best candidates and make decisions on the addition to the national list. Neighbouring countries can have similarities in agroecological conditions, so it is worthwhile to consider a joint analysis of data from national list trials to assess the similarity in performance of those varieties tested in both countries. Here, maize yield data from official German and Poland variety trials for cultivation and use (VCU) were analysed for the period from 1987 to 2017. Several statistical models that incorporate environmental covariates were fitted. The best fitting model was used to compute estimates of genotype main effects for each country. It is demonstrated that a model with random genotype-by-country effects can be used to borrow strength across countries. The genetic correlation between cultivars from the two countries equalled 0.89. The analysis based on agroecological zones showed high correlation between zones in the two countries. The results also showed that 22 agroecological zones in Germany can be merged into five zones, whereas the six zones in Poland had very high correlation and can be considered as a single zone for maize. The 43 common varieties which were tested in both countries performed equally in both countries. The mean performances of these common varieties in both countries were highly correlated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-022-04164-2. Springer Berlin Heidelberg 2022-07-13 2022 /pmc/articles/PMC9482609/ /pubmed/35831460 http://dx.doi.org/10.1007/s00122-022-04164-2 Text en © The Author(s) 2022 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 Malik, Waqas Ahmed Buntaran, Harimurti Przystalski, Marcin Lenartowicz, Tomasz Piepho, Hans-Peter Assessing the between-country genetic correlation in maize yield using German and Polish official variety trials |
title | Assessing the between-country genetic correlation in maize yield using German and Polish official variety trials |
title_full | Assessing the between-country genetic correlation in maize yield using German and Polish official variety trials |
title_fullStr | Assessing the between-country genetic correlation in maize yield using German and Polish official variety trials |
title_full_unstemmed | Assessing the between-country genetic correlation in maize yield using German and Polish official variety trials |
title_short | Assessing the between-country genetic correlation in maize yield using German and Polish official variety trials |
title_sort | assessing the between-country genetic correlation in maize yield using german and polish official variety trials |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482609/ https://www.ncbi.nlm.nih.gov/pubmed/35831460 http://dx.doi.org/10.1007/s00122-022-04164-2 |
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