Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model
Аутори
Bratković, KamenkoLuković, Kristina
Perišić, Vladimir
Savić, Jasna
Maksimović, Jelena
Adžić, Slađan
Rakonjac, Aleksandra
Matković Stojšin, Mirela
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Genotype by environment interaction (GEI) is a complex problem that complicates the barley selection and breeding process. The knowledge of the relationship between cereal phenology and climatic data is important for understanding GEI and the physiological pathways responsible for the interaction effect. The grain yield of twenty winter barley genotypes in six environments was observed. Factors influencing the variability were analyzed using a linear mixed model. The partial least squares regression (PLSR) model was applied to determine the most relevant environmental variables in certain stages of development that explained GEI effects. Biplot with environmental variables explained 43.7% of the GEI. The barley was generally the most sensitive to the environmental conditions (relative humidity, maximum temperature and its variation, sun hours, and precipitation) during the anthesis and filling stage (May) which caused GEI. Temperature variables did not show significance only in the veg...etative phase. Different genotypes responded differently to environmental factors. Genotypes NS-525, NS-589, and J-103 were highlighted as widely adaptable, and Zaječar was a suitable and reliable location for yield testing. The GEI information presented in this paper can be useful in traditional plant breeding and future breeding programs through molecular research of crop developmental genes and examination of physiological processes in two-row barley.
Кључне речи:
Hordeum vulgare / grain yield / GEI / environmental variables / phenology / PLSRИзвор:
Agronomy, 2024, 14, 1, 194-217Издавач:
- Basel, Switzerland : MDPI
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200216 (Институт за повртарство, Смедеревска Паланка) (RS-MESTD-inst-2020-200216)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200011 (Институт за земљиште, Београд) (RS-MESTD-inst-2020-200011)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200116 (Универзитет у Београду, Пољопривредни факултет) (RS-MESTD-inst-2020-200116)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200054 (Истраживачко-развојни институт ТАМИШ) (RS-MESTD-inst-2020-200054)
Институција/група
Istraživačko razvojni institut TAMIŠTY - JOUR AU - Bratković, Kamenko AU - Luković, Kristina AU - Perišić, Vladimir AU - Savić, Jasna AU - Maksimović, Jelena AU - Adžić, Slađan AU - Rakonjac, Aleksandra AU - Matković Stojšin, Mirela PY - 2024 UR - https://intam.institut-tamis.rs/handle/123456789/329 AB - Genotype by environment interaction (GEI) is a complex problem that complicates the barley selection and breeding process. The knowledge of the relationship between cereal phenology and climatic data is important for understanding GEI and the physiological pathways responsible for the interaction effect. The grain yield of twenty winter barley genotypes in six environments was observed. Factors influencing the variability were analyzed using a linear mixed model. The partial least squares regression (PLSR) model was applied to determine the most relevant environmental variables in certain stages of development that explained GEI effects. Biplot with environmental variables explained 43.7% of the GEI. The barley was generally the most sensitive to the environmental conditions (relative humidity, maximum temperature and its variation, sun hours, and precipitation) during the anthesis and filling stage (May) which caused GEI. Temperature variables did not show significance only in the vegetative phase. Different genotypes responded differently to environmental factors. Genotypes NS-525, NS-589, and J-103 were highlighted as widely adaptable, and Zaječar was a suitable and reliable location for yield testing. The GEI information presented in this paper can be useful in traditional plant breeding and future breeding programs through molecular research of crop developmental genes and examination of physiological processes in two-row barley. PB - Basel, Switzerland : MDPI T2 - Agronomy T1 - Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model EP - 217 IS - 1 SP - 194 VL - 14 DO - 10.3390/agronomy14010194 ER -
@article{ author = "Bratković, Kamenko and Luković, Kristina and Perišić, Vladimir and Savić, Jasna and Maksimović, Jelena and Adžić, Slađan and Rakonjac, Aleksandra and Matković Stojšin, Mirela", year = "2024", abstract = "Genotype by environment interaction (GEI) is a complex problem that complicates the barley selection and breeding process. The knowledge of the relationship between cereal phenology and climatic data is important for understanding GEI and the physiological pathways responsible for the interaction effect. The grain yield of twenty winter barley genotypes in six environments was observed. Factors influencing the variability were analyzed using a linear mixed model. The partial least squares regression (PLSR) model was applied to determine the most relevant environmental variables in certain stages of development that explained GEI effects. Biplot with environmental variables explained 43.7% of the GEI. The barley was generally the most sensitive to the environmental conditions (relative humidity, maximum temperature and its variation, sun hours, and precipitation) during the anthesis and filling stage (May) which caused GEI. Temperature variables did not show significance only in the vegetative phase. Different genotypes responded differently to environmental factors. Genotypes NS-525, NS-589, and J-103 were highlighted as widely adaptable, and Zaječar was a suitable and reliable location for yield testing. The GEI information presented in this paper can be useful in traditional plant breeding and future breeding programs through molecular research of crop developmental genes and examination of physiological processes in two-row barley.", publisher = "Basel, Switzerland : MDPI", journal = "Agronomy", title = "Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model", pages = "217-194", number = "1", volume = "14", doi = "10.3390/agronomy14010194" }
Bratković, K., Luković, K., Perišić, V., Savić, J., Maksimović, J., Adžić, S., Rakonjac, A.,& Matković Stojšin, M.. (2024). Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model. in Agronomy Basel, Switzerland : MDPI., 14(1), 194-217. https://doi.org/10.3390/agronomy14010194
Bratković K, Luković K, Perišić V, Savić J, Maksimović J, Adžić S, Rakonjac A, Matković Stojšin M. Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model. in Agronomy. 2024;14(1):194-217. doi:10.3390/agronomy14010194 .
Bratković, Kamenko, Luković, Kristina, Perišić, Vladimir, Savić, Jasna, Maksimović, Jelena, Adžić, Slađan, Rakonjac, Aleksandra, Matković Stojšin, Mirela, "Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model" in Agronomy, 14, no. 1 (2024):194-217, https://doi.org/10.3390/agronomy14010194 . .