Comparative kernel growth and yield components of two- and six-row barley (Hordeum vulgare) under terminal drought simulated by defoliation
Само за регистроване кориснике
2018
Аутори
Dodig, DejanKandić, Vesna
Zorić, Miroslav
Nikolić-Đorić, Emilija
Nikolić, Ana
Mutavdžić, Beba
Perović, Dragan
Šurlan-Momirović, Gordana
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Barley (Hordeum vulgare L.) is often grown in sites with low rainfall and high temperature during grain filling. Because spike architecture is one of basic footprints of barley domestication, the importance of spikes in adaptation to different environments or abiotic stresses can be hypothesised. In order to compare different barley spike types in terms of kernel growth and yield components, we tested 15 two-row and 10 six-row winter genotypes in eight environments where terminal drought was simulated by defoliation at 7 days after heading (7 DAH). Control plants were grown intact. On average, two-row genotypes outyielded six-row genotypes by 17% under control conditions and 33% under simulated late drought. Observations of kernel dry weights from 7 DAH through to harvest maturity at 5-day intervals were regressed onto a measure of thermal time. After preliminary evaluation of four nonlinear (S-shaped) models for kernel dry-weight accumulation, the ordinary logistic model was deemed th...e most appropriate in most cases and was finally applied to all plant-growth curves. Four parameters were estimated from the logistic model. Whereas two earliness estimators (inflection point and thermal time needed to reach maximum kernel weight) were similar for the two barley types, maximum kernel weight (Y-max) and mean rate of kernel growth (RG) were higher (P lt 0.05) in two-row than in six-row barleys. Differences in Y-max and RG among six-row barley genotypes were greater between control and defoliation treatments than between years, whereas among two-row barley genotypes, differences between years were greater, suggesting better stability of six-row types and better drought tolerance of two-row types in the tested barley set.
Кључне речи:
abiotic stress / food security / grain filling / grain yield / resilienceИзвор:
Crop & Pasture Science, 2018, 69, 12, 1215-1224Издавач:
- CSIRO Publishing, Clayton
Финансирање / пројекти:
- Савремени биотехнолошки приступ решавања проблема суше у пољопривреди Србије (RS-MESTD-Technological Development (TD or TR)-31005)
DOI: 10.1071/CP18336
ISSN: 1836-0947
WoS: 000453004800005
Scopus: 2-s2.0-85058550547
Колекције
Институција/група
FiVeRTY - JOUR AU - Dodig, Dejan AU - Kandić, Vesna AU - Zorić, Miroslav AU - Nikolić-Đorić, Emilija AU - Nikolić, Ana AU - Mutavdžić, Beba AU - Perović, Dragan AU - Šurlan-Momirović, Gordana PY - 2018 UR - http://fiver.ifvcns.rs/handle/123456789/1749 AB - Barley (Hordeum vulgare L.) is often grown in sites with low rainfall and high temperature during grain filling. Because spike architecture is one of basic footprints of barley domestication, the importance of spikes in adaptation to different environments or abiotic stresses can be hypothesised. In order to compare different barley spike types in terms of kernel growth and yield components, we tested 15 two-row and 10 six-row winter genotypes in eight environments where terminal drought was simulated by defoliation at 7 days after heading (7 DAH). Control plants were grown intact. On average, two-row genotypes outyielded six-row genotypes by 17% under control conditions and 33% under simulated late drought. Observations of kernel dry weights from 7 DAH through to harvest maturity at 5-day intervals were regressed onto a measure of thermal time. After preliminary evaluation of four nonlinear (S-shaped) models for kernel dry-weight accumulation, the ordinary logistic model was deemed the most appropriate in most cases and was finally applied to all plant-growth curves. Four parameters were estimated from the logistic model. Whereas two earliness estimators (inflection point and thermal time needed to reach maximum kernel weight) were similar for the two barley types, maximum kernel weight (Y-max) and mean rate of kernel growth (RG) were higher (P lt 0.05) in two-row than in six-row barleys. Differences in Y-max and RG among six-row barley genotypes were greater between control and defoliation treatments than between years, whereas among two-row barley genotypes, differences between years were greater, suggesting better stability of six-row types and better drought tolerance of two-row types in the tested barley set. PB - CSIRO Publishing, Clayton T2 - Crop & Pasture Science T1 - Comparative kernel growth and yield components of two- and six-row barley (Hordeum vulgare) under terminal drought simulated by defoliation EP - 1224 IS - 12 SP - 1215 VL - 69 DO - 10.1071/CP18336 ER -
@article{ author = "Dodig, Dejan and Kandić, Vesna and Zorić, Miroslav and Nikolić-Đorić, Emilija and Nikolić, Ana and Mutavdžić, Beba and Perović, Dragan and Šurlan-Momirović, Gordana", year = "2018", abstract = "Barley (Hordeum vulgare L.) is often grown in sites with low rainfall and high temperature during grain filling. Because spike architecture is one of basic footprints of barley domestication, the importance of spikes in adaptation to different environments or abiotic stresses can be hypothesised. In order to compare different barley spike types in terms of kernel growth and yield components, we tested 15 two-row and 10 six-row winter genotypes in eight environments where terminal drought was simulated by defoliation at 7 days after heading (7 DAH). Control plants were grown intact. On average, two-row genotypes outyielded six-row genotypes by 17% under control conditions and 33% under simulated late drought. Observations of kernel dry weights from 7 DAH through to harvest maturity at 5-day intervals were regressed onto a measure of thermal time. After preliminary evaluation of four nonlinear (S-shaped) models for kernel dry-weight accumulation, the ordinary logistic model was deemed the most appropriate in most cases and was finally applied to all plant-growth curves. Four parameters were estimated from the logistic model. Whereas two earliness estimators (inflection point and thermal time needed to reach maximum kernel weight) were similar for the two barley types, maximum kernel weight (Y-max) and mean rate of kernel growth (RG) were higher (P lt 0.05) in two-row than in six-row barleys. Differences in Y-max and RG among six-row barley genotypes were greater between control and defoliation treatments than between years, whereas among two-row barley genotypes, differences between years were greater, suggesting better stability of six-row types and better drought tolerance of two-row types in the tested barley set.", publisher = "CSIRO Publishing, Clayton", journal = "Crop & Pasture Science", title = "Comparative kernel growth and yield components of two- and six-row barley (Hordeum vulgare) under terminal drought simulated by defoliation", pages = "1224-1215", number = "12", volume = "69", doi = "10.1071/CP18336" }
Dodig, D., Kandić, V., Zorić, M., Nikolić-Đorić, E., Nikolić, A., Mutavdžić, B., Perović, D.,& Šurlan-Momirović, G.. (2018). Comparative kernel growth and yield components of two- and six-row barley (Hordeum vulgare) under terminal drought simulated by defoliation. in Crop & Pasture Science CSIRO Publishing, Clayton., 69(12), 1215-1224. https://doi.org/10.1071/CP18336
Dodig D, Kandić V, Zorić M, Nikolić-Đorić E, Nikolić A, Mutavdžić B, Perović D, Šurlan-Momirović G. Comparative kernel growth and yield components of two- and six-row barley (Hordeum vulgare) under terminal drought simulated by defoliation. in Crop & Pasture Science. 2018;69(12):1215-1224. doi:10.1071/CP18336 .
Dodig, Dejan, Kandić, Vesna, Zorić, Miroslav, Nikolić-Đorić, Emilija, Nikolić, Ana, Mutavdžić, Beba, Perović, Dragan, Šurlan-Momirović, Gordana, "Comparative kernel growth and yield components of two- and six-row barley (Hordeum vulgare) under terminal drought simulated by defoliation" in Crop & Pasture Science, 69, no. 12 (2018):1215-1224, https://doi.org/10.1071/CP18336 . .