Plant Regeneration From Seeds 2022
DOI: 10.1016/b978-0-12-823731-1.00014-7
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Regeneration in recalcitrant-seeded species and risks from climate change

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Cited by 14 publications
(14 citation statements)
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“…For instance, tropical trees show a positive correlation between T b and Ψ b that is probably due to a high frequency of rainfall in tropical areas. However, the ongoing variability in rainfall frequency and intensity due to climate change may affect tropical trees through the germination phase of the life cycle (Pritchard et al ., 2022).…”
Section: Discussionmentioning
confidence: 99%
“…For instance, tropical trees show a positive correlation between T b and Ψ b that is probably due to a high frequency of rainfall in tropical areas. However, the ongoing variability in rainfall frequency and intensity due to climate change may affect tropical trees through the germination phase of the life cycle (Pritchard et al ., 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, numerous means of predicting the binary separation of orthodox vs. recalcitrant seeds have been proposed in the last 30 years (see [ 111 ]). Such models are based mainly on trait preferences and frequency estimates for recalcitrant seeds: higher preponderance in the wet tropics and amongst trees and in certain families, larger seed mass, thinner seed coats, less likely to have dormancy, seed/fruit dispersal coinciding (more likely) with peak rainfall, preferring to form seedling banks rather than soil seed banks [ 112 ]. The most instructive models for recalcitrant behaviour have relied on ecological correlates, such as: (i) heavier seeded species in Araucariaceae [ 107 ]; (ii) multiple criteria keys for certain families (e.g., Meliaceae), using seed weight, moisture content at the time of seed shedding, seed shape and general habitat information [ 113 ]; and habitat assessment, with low frequency (≤10%) in the drylands vs c. 50% for tropical moist evergreen forests [ 18 ].…”
Section: Prediction Of Seed Storage Behaviourmentioning
confidence: 99%
“…An association has also been made between recalcitrance and relatively quick germination [ 81 ], facilitated by less resource allocation to protective seed coats (small seed coat ratio). However, tree seed threshold modelling for germination reveals that recalcitrant tree seeds can have longer thermal times than orthodox tree seeds [ 112 ]. Nonetheless, the seed coat ratio:seed mass (SCR:SM) probability model for desiccation sensitivity [ 17 ] has proven to be valuable in seed storage behaviour studies on species of the wet forests of Australia [ 114 ], China [ 19 ], Brazil [ 115 ] and the Caribbean [ 116 ].…”
Section: Prediction Of Seed Storage Behaviourmentioning
confidence: 99%
“…While these examples confirm the value of such predictive models, they also highlight the importance of generating new data on seed desiccation sensitivity, particularly for populations and species from tropical and sub-tropical regions (see De Jr Lima et al , 2014 ; Lan et al , 2014 ; Sánchez et al , 2018 ; Chau et al , 2019 ; Waiboonya et al , 2019 ; Mattana et al , 2020 ; Ititiaty et al , 2020 ; Athugala et al , 2021 ; Sommerville et al , 2021 ), through screening approaches such as the ‘100-seed test’. These kinds of studies are especially needed for biodiversity hotspots in Mesoamerica, West Africa, Madagascar, Sundaland and Indo-Burma ( Pritchard et al , 2022 ). The resulting data not only can support plant conservation and development programmes in those regions, but also improve the performance of available and future predictive models, as also previously highlighted by Wyse and Dickie (2017 , 2018 ).…”
Section: Case Example 1: Predicting Seed Desiccation Sensitivitymentioning
confidence: 99%