Adapting sorghum sowing date and genotype maturity to seasonal rainfall variation in a temperate region. Issue 1 (4th February 2021)
- Record Type:
- Journal Article
- Title:
- Adapting sorghum sowing date and genotype maturity to seasonal rainfall variation in a temperate region. Issue 1 (4th February 2021)
- Main Title:
- Adapting sorghum sowing date and genotype maturity to seasonal rainfall variation in a temperate region
- Authors:
- Carcedo, Ana J P
Cejas, Emilia
Gambin, Brenda L - Editors:
- Hammer, Graeme
- Abstract:
- Abstract: Reducing sorghum yield gaps depends on the capacity to identify combinations of genetics and management that best suit region and seasonal conditions. Using simulated and empirical data, we explored how the combination of different sowing dates and genotype maturity respond to specific water stress patterns common across a temperate region (Argentina Pampas). This region was recently characterized by three water stress patterns (or environmental types, ENVTs). These ENVTs are: pre-flowering stress, low terminal stress and grain-filling stress. In the north and central regions, significant ENVT × sowing date interaction for yield ( P < 0.05) indicated that sowing date should be chosen depending on the prevailing seasonal ENVT. This drought escape strategy increased yields by 4068–5049 kg ha −1 . In the southern region, early sowings had the highest yields independently of the ENVT. Genotype maturity effect was less important, although early materials increased yield by 438–923 kg ha −1 (5–25 %) relative to the intermediate genotype, depending on the region. Under low terminal or grain-filling stress, early sowings gave the highest yields via increased accumulated biomass and/or harvest index. Under pre-flowering stress, delaying the sowing dates increased final yields via improved harvest index. Later sowings provided a conservative strategy for reducing risk in the north and central east regions, while for the central west and southern regions the sowing dateAbstract: Reducing sorghum yield gaps depends on the capacity to identify combinations of genetics and management that best suit region and seasonal conditions. Using simulated and empirical data, we explored how the combination of different sowing dates and genotype maturity respond to specific water stress patterns common across a temperate region (Argentina Pampas). This region was recently characterized by three water stress patterns (or environmental types, ENVTs). These ENVTs are: pre-flowering stress, low terminal stress and grain-filling stress. In the north and central regions, significant ENVT × sowing date interaction for yield ( P < 0.05) indicated that sowing date should be chosen depending on the prevailing seasonal ENVT. This drought escape strategy increased yields by 4068–5049 kg ha −1 . In the southern region, early sowings had the highest yields independently of the ENVT. Genotype maturity effect was less important, although early materials increased yield by 438–923 kg ha −1 (5–25 %) relative to the intermediate genotype, depending on the region. Under low terminal or grain-filling stress, early sowings gave the highest yields via increased accumulated biomass and/or harvest index. Under pre-flowering stress, delaying the sowing dates increased final yields via improved harvest index. Later sowings provided a conservative strategy for reducing risk in the north and central east regions, while for the central west and southern regions the sowing date should be as early as possible. We provided information to improve sorghum management decisions and guide breeding in temperate regions. … (more)
- Is Part Of:
- In silico plants. Volume 3: Issue 1(2021)
- Journal:
- In silico plants
- Issue:
- Volume 3: Issue 1(2021)
- Issue Display:
- Volume 3, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 3
- Issue:
- 1
- Issue Sort Value:
- 2021-0003-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02-04
- Subjects:
- APSIM -- grain yield -- maturity -- relative transpiration index -- simulation model -- sowing date
Plant physiology -- Periodicals
Botany -- Periodicals
Botany -- Mathematical models -- Periodicals
Crop science -- Periodicals
580 - Journal URLs:
- https://academic.oup.com/insilicoplants ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/insilicoplants/diab007 ↗
- Languages:
- English
- ISSNs:
- 2517-5025
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21966.xml