Best Linear Unbiased Predictions of Environmental Effects on Grain Yield in Maize Variety Trials of Different Maturity Groups
Development of new cultivars and agronomic improvements are key factors of increasing in future grain yield in maize grown in environments affected by climate change. Assessment of value for cultivation and use (VCU) reflects the results of latest breeding efforts showing yield trends, whereby exter...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/12/4/922 |
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| author | Marina Zorić Jerko Gunjača Vlatko Galić Goran Jukić Ivan Varnica Domagoj Šimić |
| author_facet | Marina Zorić Jerko Gunjača Vlatko Galić Goran Jukić Ivan Varnica Domagoj Šimić |
| author_sort | Marina Zorić |
| collection | DOAJ |
| description | Development of new cultivars and agronomic improvements are key factors of increasing in future grain yield in maize grown in environments affected by climate change. Assessment of value for cultivation and use (VCU) reflects the results of latest breeding efforts showing yield trends, whereby external environmental covariates were rarely used. This study aimed to analyze several environmental effects including stress degree days (SDD) on grain yields in Croatian VCU trials in three maturity groups using linear mixed model for the estimation of fixed and random effects. Best linear unbiased predictions (BLUPs) of location-year interaction showed no pattern among maturity groups. SDD showed mostly non-significant coefficients of regression on location BLUPs for yield. Analyzing location BLUPs, it was shown that the effect became consistently stronger with later maturity, either positive or negative. The effects of management might play more critical role in maize phenology and yield formation compared with climate change, at least in suboptimum growing conditions often found in Southeast Europe. To facilitate more robust predictions of the crop improvement, the traditional forked approach dealing with G × E by breeders and E × M by agronomists should be integrated to G × E × M framework, to assess the full gradient of combinations forming the adaptation landscape. |
| first_indexed | 2024-03-09T11:16:36Z |
| format | Article |
| id | doaj.art-1a768ecffecf41ee9092a5c88220dbbf |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-09T11:16:36Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-1a768ecffecf41ee9092a5c88220dbbf2023-12-01T00:28:17ZengMDPI AGAgronomy2073-43952022-04-0112492210.3390/agronomy12040922Best Linear Unbiased Predictions of Environmental Effects on Grain Yield in Maize Variety Trials of Different Maturity GroupsMarina Zorić0Jerko Gunjača1Vlatko Galić2Goran Jukić3Ivan Varnica4Domagoj Šimić5Croatian Agency for Agriculture and Food, Vinkovacka cesta 63c, 31000 Osijek, CroatiaFaculty of Agriculture, University of Zagreb, Svetosimunska cesta 25, 10000 Zagreb, CroatiaAgricultural Institute Osijek, Juzno predgradje 17, 31000 Osijek, CroatiaCroatian Agency for Agriculture and Food, Vinkovacka cesta 63c, 31000 Osijek, CroatiaCroatian Agency for Agriculture and Food, Vinkovacka cesta 63c, 31000 Osijek, CroatiaCentre of Excellence for Biodiversity and Molecular Plant Breeding, Svetosimunska 25, 10000 Zagreb, CroatiaDevelopment of new cultivars and agronomic improvements are key factors of increasing in future grain yield in maize grown in environments affected by climate change. Assessment of value for cultivation and use (VCU) reflects the results of latest breeding efforts showing yield trends, whereby external environmental covariates were rarely used. This study aimed to analyze several environmental effects including stress degree days (SDD) on grain yields in Croatian VCU trials in three maturity groups using linear mixed model for the estimation of fixed and random effects. Best linear unbiased predictions (BLUPs) of location-year interaction showed no pattern among maturity groups. SDD showed mostly non-significant coefficients of regression on location BLUPs for yield. Analyzing location BLUPs, it was shown that the effect became consistently stronger with later maturity, either positive or negative. The effects of management might play more critical role in maize phenology and yield formation compared with climate change, at least in suboptimum growing conditions often found in Southeast Europe. To facilitate more robust predictions of the crop improvement, the traditional forked approach dealing with G × E by breeders and E × M by agronomists should be integrated to G × E × M framework, to assess the full gradient of combinations forming the adaptation landscape.https://www.mdpi.com/2073-4395/12/4/922maizegrain yieldheat stressmaturity groupsBLUPsVCU trials |
| spellingShingle | Marina Zorić Jerko Gunjača Vlatko Galić Goran Jukić Ivan Varnica Domagoj Šimić Best Linear Unbiased Predictions of Environmental Effects on Grain Yield in Maize Variety Trials of Different Maturity Groups Agronomy maize grain yield heat stress maturity groups BLUPs VCU trials |
| title | Best Linear Unbiased Predictions of Environmental Effects on Grain Yield in Maize Variety Trials of Different Maturity Groups |
| title_full | Best Linear Unbiased Predictions of Environmental Effects on Grain Yield in Maize Variety Trials of Different Maturity Groups |
| title_fullStr | Best Linear Unbiased Predictions of Environmental Effects on Grain Yield in Maize Variety Trials of Different Maturity Groups |
| title_full_unstemmed | Best Linear Unbiased Predictions of Environmental Effects on Grain Yield in Maize Variety Trials of Different Maturity Groups |
| title_short | Best Linear Unbiased Predictions of Environmental Effects on Grain Yield in Maize Variety Trials of Different Maturity Groups |
| title_sort | best linear unbiased predictions of environmental effects on grain yield in maize variety trials of different maturity groups |
| topic | maize grain yield heat stress maturity groups BLUPs VCU trials |
| url | https://www.mdpi.com/2073-4395/12/4/922 |
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